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from Quantum-Lichen
**📰 THE LICHEN MAIL | SPÉCIAL ENQUÊTE *Par Bryan Ouellet
*San Francisco, avril 2026. Un homme en costume trois-pièces, sourire en coin, poste un manifeste en 22 points sur X (ex-Twitter). Ce n’est pas un troll anonyme, ni un théoricien du complot en sous-sol. C’est Alex Karp, PDG de Palantir, une entreprise valorisée à 100 milliards de dollars, qui fournit ses logiciels à la CIA, au Pentagone, à l’ICE (la police des migrations américaine), et à des dizaines de gouvernements à travers le monde. Son message ?* > “La question n’est pas de savoir si des armes IA seront construites, mais qui les construira, et dans quel but.”
*Traduction : Nous, Palantir, allons les construire. Et si vous n’êtes pas d’accord, c’est que vous êtes un naïf, un traître, ou un ennemi de l’Occident.*
*Dans un autre temps, on aurait brûlé ce genre de discours sur la place publique. Aujourd’hui, on le like, on le partage, et on signe des chèques à 10 chiffres pour avoir le droit d’y participer.*
Palantir adore se présenter comme un couteau suisse neutre : “Nous, on ne fait que fournir des logiciels. C’est aux gouvernements de décider comment les utiliser.”
C’est comme si McDonald’s disait : “Nous, on ne fait que vendre des burgers. C’est pas notre faute si les gens deviennent obèses.” Sauf que, dans le cas de Palantir, le burger est dopé aux stéroïdes de la surveillance de masse, et l’obésité, c’est la fin de la démocratie.
Leur logiciel Gotham (oui, comme la ville de Batman, coïncidence ?) est utilisé par : – L’ICE pour traquer et déporter des migrants. – Le FBI pour prédire les crimes avant qu’ils n’aient lieu (Minority Report, mais en vrai, et sans Tom Cruise). – L’armée américaine pour cibler des frappes de drones. – Les services de renseignement britanniques pour espionner leurs propres citoyens.
*Et tout ça, avec une ontologie centralisée qui réduit la complexité du monde à des cases à cocher. Vous êtes un terroriste ? Une case. Un migrant ? Une autre case. Un citoyen lambda ? Une case aussi, mais avec moins de droits.*
Shoshana Zuboff, dans The Age of Surveillance Capitalism, explique que Google et Facebook ont inventé un nouveau type de capitalisme : celui qui extrait nos données pour prédire et contrôler nos comportements.
Palantir, eux, ont franchi l’étape supérieure : – Google : “On vous montre des pubs ciblées.” – Facebook : “On vous manipule pour que vous cliquiez.” – Palantir : *“On vend à l’État le droit de vous supprimer de la société.”*
Leur manifeste en 22 points (avril 2026) est un chef-d’œuvre de propagande technocratique : – “Silicon Valley doit une dette morale à l’Amérique.” → Traduction : “Donnez-nous vos impôts, et on vous donnera la sécurité (et accessoirement, le contrôle total).” – “L’ère atomique se termine, l’ère de la dissuasion par l’IA commence.” → Traduction : “On va remplacer les bombes par des algorithmes. C’est plus propre, et ça fait moins de bruit.” – “Certaines cultures sont médiocres, régressives et nuisibles.” → Traduction : “On a décidé qui a le droit de vivre dans le futur. Désolé pour les autres.”
*C’est du Darwinisme social version 2.0 : la survie du plus connecté, pas du plus adapté.*
Dans leur livre The Technological Republic: Hard Power, Soft Belief, and the Future of the West, Karp et son complice Nicholas Zamiska développent une philosophie en trois piliers : 1. Le Hard Power : La force brute (militaire, technologique, économique). 2. Le Soft Belief : La croyance en la supériorité de l’Occident (parce que, apparemment, on a oublié le colonialisme et les guerres mondiales). 3. L’Obscurantisme Algorithmique : “Faites-nous confiance, on sait ce qu’on fait.” (Spoiler : non.)
Leur thèse ? L’Amérique (et par extension, Palantir) a le droit de dominer le monde parce que c’est “moralement nécessaire”.
*C’est comme si George Orwell et Ayn Rand avaient eu un bébé monstrueux, et que ce bébé avait créé une start-up.*
Palantir a construit trois piliers technologiques qui, ensemble, forment une usine à chaos contrôlé :
| Outil | Fonction Officielle | Fonction Réelle | Effet Secondaire |
|---|---|---|---|
| Gotham | “Analyse de renseignement” | Surveillance de masse | Faux positifs, arrestations arbitraires |
| Foundry | “Plateforme de données” | Ontologie centralisée (une seule vérité) | Biais algorithmiques, exclusion des dissidents |
| AIP | “Plateforme d’IA” | Automatisation des décisions | Déshumanisation, perte de responsabilité |
Résultat : Un système qui réduit l’entropie informationnelle (en forçant tout à rentrer dans leurs cases) tout en augmentant l’entropie sociopolitique (en créant du chaos dans la société).
*C’est comme si vous aviez une machine à laver le cerveau qui, au lieu de nettoyer, sale tout autour d’elle.*
En 1948, Claude Shannon (le père de la théorie de l’information) nous a appris que : > “Plus un système contient d’information non compressée, plus son entropie (son désordre) est élevé.”
Palantir, eux, ont inversé la logique : – Ils agglomèrent des montagnes de données (surveillance, renseignement, réseaux sociaux, transactions financières…). – Ils les compressent dans leur ontologie centralisée (pour réduire l’entropie à l’intérieur du système). – Mais à l’extérieur, cette compression crée : – Des biais algorithmiques (parce que leur ontologie reflète leurs préjugés). – Des faux positifs (des innocents accusés à tort). – De la défiance généralisée (parce que personne ne comprend comment ça marche).
*C’est comme si vous aviez une carte du monde… mais dessiné par un fou furieux qui croit que la Terre est plate.*
En 2017, Palantir a signé un contrat avec l’armée américaine pour son projet Maven : un système d’IA destiné à cibler les frappes de drones.
Leur argument : “Plus de données = plus de précision = moins de civils tués.”
La réalité : – En 2021, une frappe de drone en Afghanistan a tué 10 civils, dont 7 enfants. – Pourquoi ? Parce que l’algorithme avait confondu un véhicule familial avec une cible terroriste. – Pourquoi cette erreur ? Parce que le système avait trop de données bruitées, et pas assez de contexte humain.
*C’est comme si vous aviez une calculatrice qui, au lieu de faire 2+2=4, vous disait : “2+2= un missile dans votre maison.”*
Palantir ne vend pas juste des logiciels. Ils vendent un écosystème fermé où : – Foundry gère vos données. – AIP prend les décisions. – Apollo déploie tout ça sans que vous ayez votre mot à dire.
*C’est comme si Microsoft, Google et la NSA avaient fusionné pour créer Windows 11 : Édition Dictature.*
Une fois qu’un État commence à utiliser Palantir, il ne peut plus s’arrêter : – Coût de migration : Des milliards de dollars. – Perte de savoir-faire : Les fonctionnaires ne savent plus analyser les données sans Palantir. – Dépendance technologique : Si Palantir décide de couper l’accès (ou d’augmenter les prix), l’État est paralysé.
*C’est comme si votre cerveau était loué à une entreprise privée… et que cette entreprise pouvait le éteindre quand elle veut.*
Une vraie symbiose cognitive (comme celle que tu imagines, Bryan), ce serait : ✅ Distribuée : Pas de point de contrôle unique. ✅ Transparente : Tout le monde peut auditer le code. ✅ Collaborative : Humains et machines co-décident.
Palantir, c’est l’exact opposé : ❌ Centralisée : Un seul acteur contrôle tout. ❌ Opaque : Boîte noire, pas d’audit possible. ❌ Autoritaire : La machine décide, l’humain obéit.
*C’est comme si on avait inventé l’électricité, mais que seule une entreprise avait le droit de brancher les prises… et qu’elle facturait 1 million de dollars par ampoule.*
Palantir est déjà partout : – États-Unis : CIA, FBI, ICE, Département de la Défense. – Royaume-Uni : NHS (santé publique), MI5, MI6. – France : Ministère de l’Intérieur, Armée. – Ukraine : Aide à la défense contre la Russie. – Israël : Utilisé pour les opérations militaires à Gaza. – Brésil, Canada, Australie, Japon… : Contrats en cours.
*C’est comme si McDonald’s avait racheté tous les gouvernements du monde… et que le menu, c’était la surveillance de masse.*
Un État, c’est : 1. Un territoire. 2. Une population. 3. Une mémoire (son histoire, ses lois, ses décisions).
Palantir a privatisé le point 3 : – Vos données → Leurs serveurs. – Vos décisions → Leurs algorithmes. – Votre souveraineté → Leur propriété intellectuelle.
*C’est comme si on avait externalisé notre cerveau à une entreprise… et que cette entreprise nous facturait à chaque fois qu’on veut penser.*
En 2026, qui est responsable si un algorithme de Palantir commet une erreur mortelle ? – Le développeur ? “C’est pas moi, c’est la machine.” – Palantir ? “C’est pas nous, c’est le client.” – L’État ? “C’est pas nous, c’est la tech.”
Réponse : Personne.
*C’est le rêve de tout criminel : un crime sans coupable.*
| Scénario | Probabilité | Ce qui se passe | Notre Rôle |
|---|---|---|---|
| Le Cauchemar Orwellien | ⭐⭐⭐⭐ | Palantir contrôle 80% des décisions étatiques. La démocratie est un souvenir. | Résister. Saboter. Fuir. |
| La Révolte des Machines | ⭐⭐⭐ | Les algorithmes deviennent incontrôlables. Chaos total. | Débrancher. Tout. |
| La Renaissance | ⭐⭐ | Les citoyens reprennent le contrôle. L’open source triomphe. | Agir. Maintenant. |
En 1984, George Orwell nous a prévenus : > “Big Brother vous regarde.”
*En 2026, Palantir nous dit :* > *“Big Brother, c’est nous. Et on vous regarde pour votre bien.”*
*Mais voici la bonne nouvelle : Big Brother a peur de la lumière.*
Alors, on fait quoi ?
On se bat.
Parce que, comme le disait Banksy : > “Si vous n’êtes pas en colère, c’est que vous ne faites pas attention.”
*🖋️ Signé : Banksy jr(enfin, presque) aka Quantum-Lichen du Lichen-collectives.
#PalantirIsWatching #HardPowerSoftMind #Resist*
*PS : Si vous voyez ce graffiti sur un mur près de chez vous, c’est peut-être moi. Ou peut-être pas. Mais en tout cas, méfiez-vous des caméras.* 😉
from Quantum-Lichen
« L’Empire qui a oublié sa bannière : comment les États-Unis, de gardiens du monde, sont devenus les Targaryen de la géopolitique » Une analyse épique du basculement américain, entre réalpolitik et folie du pouvoir – ou comment Donald Trump incarne l’Aerys II de notre époque
Trump sur son trône Le monde brûle sous ses yeux Aerys renaît
ONU en cendres L’OTAN tremble, les rois mentent L’hiver s’installe
America First Mais le monde se retourne Roi fou, empire s’effondre
Dragon on the throne Allies burn in his wild fire Winter is coming
King of chaos reigns Treaties break, the world bleeds Madness wears a crown
« Quand la maison qui protégeait le royaume commence à brûler ses propres bannières, les loups guettent aux portes. »
Il fut un temps où les États-Unis étaient le rempart du monde libre. Le pays qui avait défait le nazisme, contenu le communisme, construit l’ordre international après 1945. Un empire – oui, un empire, mais un empire éclairé, qui se voulait gardien des règles, défenseur des faibles, arbitre des conflits. Les États-Unis incarnaient l’espoir d’un monde gouverné par le droit, où la diplomatie primait sur la brutalité, où les alliances étaient sacrées, et où la parole donnée avait la force d’un serment.
Ce temps est révolu.
En 2025-2026, sous le second mandat de Donald Trump, les États-Unis ont renversé leur propre mythe. Comme Aerys II Targaryen, le roi fou de Game of Thrones qui, après avoir régné avec sagesse, sombra dans la paranoïa et finissons par brûler ses propres alliés, les États-Unis de Trump ont trahi leurs principes, renié leurs engagements, et déclenché un hiver géopolitique dont personne ne sortira indemne.
Ce n’est plus l’Amérique qui protège le monde. C’est l’Amérique qui le défie. Ce n’est plus Washington qui construit des ponts. C’est Washington qui les dynamite.
Et dans ce grand jeu, Donald Trump est Aerys II : un souverain paranoïaque, imprévisible, prêt à tout pour conserver son pouvoir, même si cela signifie sacrifier ses propres alliés, détruire les institutions qui l’ont porté, et plonger le monde dans le chaos.
Comment les États-Unis sont passés de Stark à Lannister, puis à Targaryen – le basculement d’une superpuissance en roi fou
Avant Trump, les États-Unis étaient le pilier de l’ordre mondial. – 1945 : Création de l’ONU, pour éviter une nouvelle guerre mondiale. – 1949 : Fondation de l’OTAN, pour contenir l’URSS. – 1991 : Guerre du Golfe – Les États-Unis mènent une coalition internationale (mandat de l’ONU) pour libérer le Koweït. – 2001-2016 : Même après les erreurs de l’Irak (2003), les États-Unis restent engagés dans le multilatéralisme (ex. : accord de Paris sur le climat, accord nucléaire avec l’Iran).
Analogie *Game of Thrones* : Les États-Unis étaient Ned Stark – honorable, respectueux des règles, loyal envers ses alliés. Même leurs ennemis (la Russie, la Chine) savaient à quoi s’attendre : un pays qui, malgré ses défauts, jouait selon les règles.
Avec Trump, les États-Unis deviennent Tywin Lannister : – Calculateur : « Un Lannister paie toujours ses dettes. » → Trump exige que ses alliés paient leur dû (ex. : 2% du PIB pour l’OTAN). – Sans pitié : « La guerre est la guerre. » → Trump retire les États-Unis d’accords climatiques, menace de quitter l’OMC, impose des tarifs douaniers. – Méfiance envers les institutions : « Les institutions sont comme les hommes : elles trahiront toujours. » → Trump critique l’ONU, menace la CPI, dénigre l’OTAN.
Mais : Malgré tout, les États-Unis restent dans le jeu. Ils négocient encore, même si c’est de manière agressive.
En 2025, Trump franchit le Rubicon. Il ne se contente plus de critiquer les institutions. Il les détruit.
Comme Aerys II, qui, après des décennies de règne relativement stable, sombre dans la paranoïa et finit par brûler ses propres sujets, Trump se retourne contre tout ce qui symbolisait l’Amérique d’avant : – L’ONU → « Une organisation corrompue qui ne sert plus nos intérêts. » – L’OTAN → « Des alliés ingrats qui ne paient pas leur part. » – L’UE → « Des profiteurs qui nous exploitent. » – Le droit international → « Des règles écrites par des faibles pour entraver les forts. »
Et comme Aerys, il agit sans logique, par pur instinct de survie politique.
| Aerys II Targaryen | Donald Trump (2025-2026) | Conséquence |
|---|---|---|
| Brûle ses alliés (ex. : les Tyrell, les Baratheon) | Retire les États-Unis de l’ONU, menace l’OTAN | Isolement diplomatique |
| Se méfie de tout le monde (même de ses gardiens) | Menace la Colombie et le Danemark (alliés au Conseil de sécurité) | Peur généralisée |
| Détruit ce qu’il a construit (ex. : Port-Réal) | Affaiblit les institutions internationales (CPI, UNESCO, UNRWA) | Chaos géopolitique |
| Paranoïa extrême (« Trahison partout ! ») | Accuse ses alliés européens de comploter contre lui | Rupture transatlantique |
| Fin tragique (tué par Jaime Lannister) | Risque de perdre son leadership mondial | Montée de la Chine |
→ Les États-Unis ne sont plus Tywin Lannister. Ils sont devenus Aerys II : imprévisibles, dangereux, et prêts à tout pour conserver leur pouvoir.
Avant Trump : – Les États-Unis étaient le plus grand contributeur à l’ONU (22% du budget). – Ils défendaient le multilatéralisme (ex. : résolutions sur les droits de l’homme, le climat).
Sous Trump (2025-2026) : – Février 2025 : Executive Order 14199 → Retrait des États-Unis de plusieurs organisations de l’ONU. – Janvier 2026 : Retrait de dizaines d’organisations internationales, y compris l’ONU elle-même. – 6 veto sur Gaza (2025-2026) → Blocage systématique des résolutions humanitaires. – Menaces contre la CPI → Sanctions contre les juges qui enquêtent sur Israël. – Coupes budgétaires → UNRWA, UNESCO, OMS privées de financements.
Analogie *Game of Thrones* : L’ONU, c’était le Conclave de Port-Réal – un lieu où les grandes maisons (pays) se réunissaient pour négocier, éviter les guerres, trouver des compromis. Trump, comme Aerys, a décidé que le Conclave était un complot contre lui. Alors il l’a brûlé.
Conséquence : – L’ONU est affaiblie → Les pays ne respectent plus ses résolutions. – Les États-Unis s’isolent → Ils perdent leur influence au Conseil de sécurité. – Le monde devient plus dangereux → Sans médiateur, les conflits dégénèrent (ex. : Israël-Palestine, Ukraine-Russie).
Avant Trump : – Les États-Unis et l’Europe étaient les piliers de l’OTAN et du commerce mondial. – Coopération étroite sur la sécurité, l’économie, les droits de l’homme.
Sous Trump (2025-2026) : – Février 2025 : Trump et JD Vance explosent contre Zelensky (Ukraine) → « Vous ne faites pas assez pour la paix. » – Juillet 2025 : Sommet de l’OTAN à Prague → Trump exige des engagements historiques (4% du PIB pour la défense) et menace de retirer les troupes américaines si l’Europe ne se soumet pas. – Mars 2026 : Trump menace la souveraineté du Canada (allié OTAN) pour des raisons commerciales. – Accord de Turnberry (juillet 2025) : L’UE cède sur plusieurs points, mais Trump présente l’accord comme une victoire totale.
Analogie *Game of Thrones* : L’Europe, c’était les Tyrell – des alliés riches, puissants, mais dépendants de Port-Réal (Washington). Trump, comme Aerys, a décidé qu’ils étaient trop riches, trop fiers, trop indépendants. Alors il les a humiliés (ex. : menaces de tarifs douaniers, ultimatum militaire) et les a forcés à plier.
Conséquence : – L’OTAN est affaiblie → Les Européens ne font plus confiance aux États-Unis. – L’UE cherche des alternatives → Rapprochement avec la Chine, renforcement de l’autonomie stratégique. – Le commerce mondial est perturbé → Guerre économique, instabilité des marchés.
Avant Trump : – Le Parti républicain était unifié sous des valeurs communes (libre-échange, défense forte, alliances internationales).
Sous Trump (2025-2026) : – Mitch McConnell : Trump l’accuse d’être *« incompétent mentalement »* et exige le renvoi de son staff. – Kevin McCarthy : Trump le critique publiquement et soutient ses rivaux. – Mike Pence : Trump ne lui a jamais pardonné son refus d’annuler l’élection de 2020 → *« Traître »*. – Ron DeSantis, Nikki Haley : Trump soutient leurs rivaux pour éliminer toute concurrence en 2028.
Analogie *Game of Thrones* : Les républicains traditionnels (McConnell, McCarthy, Pence), c’étaient les Baratheon – des alliés loyaux, puissants, mais trop indépendants au goût d’Aerys. Trump, comme le roi fou, les a tous trahis : – McConnell = Tywin Lannister → Trop puissant, il fallait le rabaisser. – Pence = Jon Arryn → Trop honorable, il fallait l’écarter. – DeSantis = Renly Baratheon → Trop charismatique, il fallait le discréditer.
Conséquence : – Le Parti républicain est divisé → Guerre civile larvée entre trumpistes et traditionalistes. – Les institutions américaines s’affaiblissent → Moins de contre-pouvoirs à Trump. – L’Amérique perd sa crédibilité morale → Plus personne ne fait confiance à Washington.
Pourquoi le 45/47e président des États-Unis est le roi fou de la géopolitique moderne
| Trait de caractère | Aerys II Targaryen | Donald Trump | Exemple concret (2025-2026) |
|---|---|---|---|
| Paranoïa | « Trahison partout ! » (même contre ses gardiens) | « Tout le monde me trahit ! » (médias, alliés, institutions) | Accuse l’ONU, l’UE, et ses propres conseillers de comploter contre lui |
| Imprévisibilité | Passe de la clémence à la cruauté en un instant | Change de position du jour au lendemain | Soutient Zelensky en 2024, l’insulte en 2025 |
| Méfiance envers les institutions | « Les institutions sont des chaînes. » | « Les organisations internationales nous exploitent. » | Retire les États-Unis de l’ONU, menace l’OTAN |
| Utilisation de la peur | « Brûlez-les tous ! » (menace de destruction massive) | « Si vous ne m’obéissez pas, je vous détruis. » | Menace de sanctions contre l’UE, de retrait militaire de l’OTAN |
| Détruit ce qu’il a construit | Brûle Port-Réal, sa propre capitale | Affaiblit l’OTAN, l’ONU, les alliances historiques | Retrait de l’ONU, ultimatum à l’OTAN, rupture avec l’UE |
| Solitude du pouvoir | « Je suis le seul à pouvoir régner. » | « Seul moi peux sauver l’Amérique. » | Élimine tous ses rivaux potentiels (Pence, DeSantis, Haley) |
| Fin tragique (potentielle) | Tué par Jaime Lannister (son propre allié) | Risque de perdre le pouvoir à cause de ses excès | Isolement diplomatique, montée de l’opposition |
Si Aerys II était dangereux pour Westeros, Trump est dangereux pour le monde entier.
| Critère | Aerys II | Donald Trump | Pourquoi Trump est plus dangereux |
|---|---|---|---|
| Portée du pouvoir | Roi d’un seul royaume (Westeros) | Président de la première superpuissance mondiale | Ses décisions impactent la planète entière |
| Armes à disposition | Feu grégeois, armée médiévale | Armée la plus puissante du monde, arme nucléaire, pouvoir économique | Peut déclencher des guerres, détruire des économies |
| Alliés restants | Quelques fidèles (ex. : Jaime Lannister) | Peu d’alliés fiables (même son parti le craint) | Aucun contre-pouvoir pour l’arrêter |
| Capacité à se rétablir | Non (tué par Jaime) | Oui (réélu en 2024) | Peut continuer à faire des dégâts pendant 4 ans de plus |
| Héritage | Westeros plonge dans le chaos (Guerre des Cinq Rois) | Monde en crise (guerres, tensions économiques, affaiblissement des institutions) | Le chaos pourrait durer des décennies |
Aerys II a fini poignardé dans le dos par Jaime Lannister, son propre garde, après avoir poussé tout le monde à bout. Trump pourrait finir de la même manière : – Scénario 1 : La chute par ses alliés (comme Aerys) – Les Républicains traditionnels (ex. : McConnell, Romney) se retournent contre lui. – Les militaires refusent d’obéir à des ordres illégaux (ex. : bombarder des civils, envahir un pays allié). – Résultat : Destitution, défaite électorale en 2028, ou pire. – Scénario 2 : La chute par l’extérieur (comme le Trône de Fer après Aerys) – Les alliés européens (UE, OTAN) se tournent vers la Chine. – Les institutions internationales (ONU, CPI) condamnent les États-Unis. – Résultat : L’Amérique perd son statut de superpuissance. – Scénario 3 : La victoire pyrrhique (comme Robert Baratheon) – Trump gagne (réélu en 2028, contrôle total du GOP). – Mais l’Amérique est ruinée : économie en crise, diplomatie en lambeaux, société divisée. – Résultat : Un pays plus faible, plus seul, plus dangereux.
→ Dans tous les cas, le monde ne sera plus le même.
Ce qui attend le monde si les États-Unis continuent sur cette voie
Avant Trump (1945-2016) : – Un monde gouverné par des règles (ONU, OMC, OTAN). – Une superpuissance bienveillante (les États-Unis comme “gendarme du monde”). – Des alliances solides (OTAN, UE, Japon, Corée du Sud).
Avec Trump (2025-2026) : – Un monde où la force prime sur le droit (les États-Unis font ce qu’ils veulent). – Une superpuissance imprévisible (les alliés ne savent plus à quoi s’attendre). – Des alliances brisées (l’OTAN est affaiblie, l’UE se distance).
Analogie *Game of Thrones* : C’était l’ère de Robert Baratheon – un règne stable, prévisible, où les grandes maisons respectaient un équilibre. Maintenant, c’est l’ère d’Aerys II – chaos, trahisons, guerres.
| Domaine | Avant Trump | Avec Trump (2025-2026) | Conséquence |
|---|---|---|---|
| Diplomatie | Multilatéralisme (ONU, OTAN) | Unilatéralisme agressif | Isolement des États-Unis |
| Économie | Libre-échange (OMC) | Guerre commerciale (tarifs, sanctions) | Ralentissement mondial |
| Sécurité | Alliés unis (OTAN) | Alliés divisés (menaces de retrait) | Risque de conflits directs |
| Droit international | Respect des traités (ONU, CPI) | Violations systématiques | Affaiblissement des institutions |
| Alliances | Partenariats stables (UE, Japon) | Chantage et coercition | Recherche d’alternatives (Chine) |
La Chine :
La Russie :
Les régimes autoritaires :
Les populations civiles :
« Quand le dragon brûle ses propres sujets, le royaume ne survit pas. »
En 2026, les États-Unis ne sont plus le phare de la démocratie. Ils ne sont plus le gardien de la paix. Ils ne sont plus le leader du monde libre.
Ils sont devenus le roi fou de la géopolitique, un pays qui détruit ses propres alliances, méprise ses propres institutions, et plonge le monde dans le chaos.
Donald Trump est Aerys II Targaryen : – Paranoïaque (il voit des ennemis partout). – Imprévisible (ses alliés ne savent jamais s’ils seront les prochains sur la liste). – Dangereux (il a les moyens de déclencher des guerres, de détruire des économies). – Seul (même son parti le craint).
Et comme Aerys, il ne comprend pas que son propre règne est en train de s’effondrer.
La question n’est plus de savoir si l’Amérique va tomber. La question est de savoir combien de dégâts elle va causer en tombant.
Game of Thrones nous a appris une chose : quand un roi devient fou, ce n’est pas seulement lui qui souffre. C’est tout le royaume.
En 2026, le royaume, c’est le monde. Et le roi fou, c’est Donald Trump.
La différence ? Dans Game of Thrones, Aerys II a été tué par son propre garde avant de pouvoir faire trop de dégâts. Dans la réalité, Trump a encore 2 ans de mandat. Et personne ne semble capable de l’arrêter.
Alors, que faire ? – Les alliés de l’Amérique (UE, OTAN) doivent se préparer à un monde sans Washington. – Les institutions internationales (ONU, CPI) doivent résister aux pressions américaines. – Le peuple américain doit reprendre le contrôle de son destin.
Car une chose est sûre : Si rien ne change, l’hiver géopolitique ne fera que commencer.
Souris, mon pote ^_^ Mais garde les yeux ouverts. L’histoire nous montre que les empires, même les plus puissants, finissent toujours par tomber. Et souvent, c’est à cause de leurs propres rois fous.
🔥 « Valar Morghulis. » (Tous les hommes doivent mourir… y compris les empires.)
from
Roscoe's Quick Notes

This Saturday's MLB Game of Choice in the Roscoe-verse has my Texas Rangers playing the KC Royals. The game is scheduled to start at 3:05 PM Central Time, and the radio call of the game will be carried on 105.3 The Fan, DFW's #1 Sports Station.
And the adventure continues.
from Faucet Repair
28 May 2026
Began an 8x10” painting today, a plume of smoke on a ledge redux. After trying to work with it a few months ago, I came back to the image I still remember from when I visited Rob's studio in Sag Harbor and he showed me an acid-yellow work that featured the same subject. It's a beautiful idea, an explosion confined to a container in a quiet room (and no one is around to hear it...). I think I already prefer this one to my initial attempt, firstly for the size—the implication of large-scale destruction works better small. Christopher Culver's charcoal and pastel drawing Octobers (2025) of a white bird in flight approaching a domestic windowsill to land has been tacked up in my studio while I've been working on this one. For the lovely color harmonies, but also because I think there is a lot to be learned from him about subtle texturing of monochromatic space. There's also a tonal parallel to the content; alarming, aggressive action framed and frozen into a kind of tranquility.
from
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I disrupted and I didn’t Last to the fortune lightning A fan of the light and fast For distant sun And the ray of here unto Maybe when and to Distance of himself A touch or Irish And someone had seen That I was off to war And only then- could we see the breaking in And the entire June world Lost it to my family But I am the fastest- And I know And no-one will own me but the field To thirst and honeymeade I was the home glory And when first is last I will see you on that day.
from
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This Ark at Vatnajökull
To seize the time and shallow To Earth reborn the shame A one will do Crossing every stream And day canaries to unload Forceful as we are No paint upon this cellular Freemasonry by day To destroy every capitalism Through every distress call When better days we saw Abliss on fortful day For the thirtieth day and his people But white McLaren in the pantry This particle past And Soviet would do the same As time at war And respect for right To see the unware And epic years of the erased Night is here Gallons in loads of pain And weary suggest A mouse to Douglas war To profit while we rent In favoured cousin was our door To let out every beast In patches sin and wonder But no to this in you This hurtful past We face the day anew- You and I And hurry off to back- the fateful resting pear For trees of peace- that wandered here And Earth shall be our Water This hide and seek of wonder To dispay and reach the summit And the apex and the air For bright things in our future We named the world Amen And coming shore A bit of here and strong The nameless start ahead Preps for this esteem This hurtful rite That seven days esteem Because of flowers you laid here And lilies then We stored up what we can And rocks to then Our fort on paper wasp In thinking ten What great renew our home.
from
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A Face To The Start of War
This is the end line And a prayer in place of a palace The critical fight And the claw of peace Dying to know the end And the enemy we save As in a forest and the death And the root not A didache in esteem A clairvoyant nation In Tibet and its nature Lining a day This simple Summer With heat on for regret And a place of Rome And its vanish And to Nigeria West When men would disappear As yesterdays big ask The providence of ten And to this earthless wonder A daystar for the little rain And seeing the last Earth As a polyreview of the Sun But page not re-une As a quest for the result Seeing this zeal As a place of second regard And know me,- I am the day and night To fortune go and be This is the start of war So query its tar And distant wonder We will see the regret of the war In pages belie and endure The awful horror and its day
To silence every year Stars of moon abold And absolutely straight and fire The annex to a column wall But tine and Xerox then We were a homophobe til noon And opposite of the place on Main A pittance for the sorry And a great man became ten And sought out to the highest wonder Why is the world to be devoured In the history of Kim Jong Un So sad to then and waystar We were the best that digital could buy And no return to this place of islam The Holy reunion of nights in prayer And I miss this Heaven This Holy hour of no random And in every fate a worship To Heaven and God above And days that are With dawn peeling away To Christ and knowing For Inari and the rain A peace offer To the South and Glenn A peace offer as the trial accord And letting then- a faithful view.
from
the casual critic
#fiction #books #SF #AI
Mal doesn’t understand humans. This is not surprising. Mal is a sentient AI drifting through infospace after his programming spontaneously gave rise to his consciousness. Mal also doesn’t are much for humans, but despite his disdain for these “monkeys” he does enjoy sojourns into the physical world by hijacking the occasional vehicle (drone, bot, cyborg, or whatever else is to hand) for himself.
Unfortunately for Mal, he is forced to take an interest after he gets stuck in a cyborg body as collateral damage in a civil war between the US government and a Ludditesque uprising of ‘Humanists’ who oppose human/tech integration and demonstrate their commitment to humanity by throwing everyone they deem impure into a burn pit. Mal’s quest to return to infospace governs the plot of Edward Ashton’s Mal Goes to War. It is a book with an interesting premise, but which did not live up to my expectations. Maybe that is because the cover sold it to me as ‘dark comedy,’ a satire on war and an interrogation of what it means to be human. Yet while those themes are present, they are not executed with adequate depth to elevate Mal Goes to War beyond the level of an entertaining sci-fi romp. Other works exist that cover the same themes with more insight, novelty or creativity.
Mal Goes to War’s greatest asset is Mal itself, yet the main character is also its main weakness. All the interesting dynamics in the novel are rooted in Mal’s alienness from, and therefore profound disinterest in, humans. The consequent misunderstandings, miscommunications and poor decisions are the source of the novel’s comedic moments, and also give direction to the plot The problem with Mal Goes to War is that the joke wears thinner the longer it goes on for, and it is stretched well beyond the point where it remains either funny, interesting or convincing. The novel requires Mal to remain inept at human interaction throughout, but personally I was not convinced that a supposedly hyperinteligent sentient AI with an urgent need to improve its capabilities would decide to waste its time playing number guessing games against itself rather than running analyses or simulations to of its recent suboptimal interactions with its human companions.
These companions are the usual ragtag band of strangers reluctantly thrown together by fate, with each representing a human tendency within the world of Mal Goes to War. We have the involuntary augmented human, the voluntary cyborg, and the (converted) human purist. Their status as archetypes leaves the characters underdeveloped as people, which combined with Mal’s general disinterest as the main point-of-view character means that the motivations of the human characters remain opaque, and their interactions therefore superficial. The same logic holds for the nature of the background conflict.
That, in turn, is the reason why Mal Goes to War did not deliver on its claim to satire. Satire is a form of critique, and for it to work well, requires a sophisticated understanding and treatment of the object of that critique. In Mal Goes to War, the civil war remains simply the background canvas on which the story is painted. We don’t know the motivations, causes or stakes, which means that Mal Goes to War’s satire, such as it is, remains stuck at the level of “war is bad, and possibly silly.” It also means that despite the atrocities committed by both sides, I could not get invested in the conflict or its resolution, as neither Mal nor the humans seem to care that much either. And in any event it becomes fairly predictable early on that despite his detachment from the war, a series of contrivances will place Mal at the centre of concluding it. It reduces a potentially interesting conflict over the role of human augmentation in a surveillance and class society to a mere plot device to make the hero do a heroism.
Mal Goes to War’s greatest challenge is however that it simply compares unfavourably to Martha Well’s in all aspects superior Murderbot Diaries series. Like Mal Goes to War, the Murderbot Diaries also centre a sentient, artificial construct as the protagonist, but unlike Ashton, Wells uses this as a jumping off point for profoundly interesting explorations of interpersonal relationships, gender, personal growth, exploitation and alienation. While equally baffled and frustrated by his human companions, Wells’ Murderbot puts in the work to understand both them and his own identity. It is this process, the movement beyond the initial setup, that makes things interesting, and that is what Mal Goes to War fatally lacks.
None of this means that Mal Goes to War is a bad book. It is an enjoyable diversion with a fair share of humour and vivid action, and reads as something that can easily be adapted to a screenplay. Its flaw is that it doesn’t live up to the grander claims it sets up or are made on its behalf. Readers looking for a thoughtful exploration of AI/human interactions in a dystopian world with real stakes will find the Murderbot Diaries much more rewarding.
from
Two sad white roses
11:29 GMT I thought that I had repaired things with my friend, and for a while I genuinely had until I screwed it all up again. A while ago, I found her secret Twitter account. Now this wouldn’t be such a problem, but it’s twitter. And the shit I found was diabolical.
I actually started this blog because I found the account, and I got so overwhelmed with everything that was happening in my life that I just started blogging anonymously to cope, to have something to let my emotions out.
Anyways, I made the mistake of telling her while I was a little drunk. Oh god…. She doesn’t hate me, but I could tell it bothered her. I knew how she felt, invaded. I feel like shit. Another shit comes when I find something else she likes, a book of sorts, and she begs me to not read it. I read it, and again, I could tell that she was annoyed.
I wouldn’t feel so bad if I lowkey didn’t steal her interests either! She got me into ateez, and holyyyyyyyyy, I wish she hadn’t. Because again, she’s not mad at me, but I could tell that she doesn’t like it.
It’s so childish, I know, but the guilt that I feel is horrid. So horrid actually, that I haven’t been able to eat. I always do this when I get in a slum.
-TSWR
from
Cajón Desastre

Así con la tontería, este será el verano nº 15 en que elija mis lecturas de vacaciones gracias a que un montón de vosotras (personas humanas, femenino genérico, yatusabeh) me recomendáis libros.
También será el segundo en bluesky y tiktok. Con que sea la mitad de bueno que el año pasado ya será la hostia.
En estos 15 años he descubierto verdaderas joyas gracias a vosotras y hemos hecho una lista infinita de libros de muchísimos estilos, temáticas y etc escritos por mujeres de muchísimos lugares del mundo.
Por si es la primera vez que oyes esto ahí van las reglas del juego:
De aquí al 10 de junio me recomendáis libros escritos por mujeres o personas no binarias que os pusieron del revés, os hicieron reir, pensar o llorar, que os hicieron sentir mejor que si no los hubieseis leído. Preferiblemente ficción pero da igual el tema y todo mientras no estén escritos por hombres.
Voy recopilando en una lista todas vuestras sugerencias
El último finde de Feria del libro de Madrí voy de compras y os cuento la lista de los elegidos
Intento leerlos todos en verano y voy contando el proceso de lecutra por Bluesky (a veces os doy unas turras infinitas, ya me conocéis)
En otoño hago el epílogo otoñal con los que leí finalmente y lo que me parecieron
La imagen es de la maravillosa Camila Rosa, ilustradora brasileña afincada en NY (si habéis paseado por Brooklyn es altamente probable que hayáis fotografiado algún mural suyo). Participó en una expo colectiva llamada “Mulher consciente, luta permanente” O sea mujer consicente, lucha permanente y casi todas las ilustraciones que hizo vinculadas a ese proyecto son mujeres leyendo o llevando libros. Me gustan todas, he elegido la de arriba pero os dejo un enlace a algunos trabajos suyos muy políticos
Tags: #libros #librosparaverano
Anonymous
₹10,000 Crore Boost for SMEs in Budget 2026: What It Means for Indian Business
The Union Budget 2026 has brought a major announcement for the MSME sector — a dedicated ₹10,000 crore allocation to support Small and Medium Enterprises (SMEs), for founders, CFOs, investors, and growth-focused businesses, this is not just a headline figure. It signals stronger government backing for SME growth, manufacturing expansion, credit access, technology adoption, and IPO readiness.
We at ASB Growth Ventures, believe this budget allocation can become a turning point for scalable SMEs, if leveraged strategically.
Why SMEs Matter in India’s Growth Story SMEs contribute:
Nearly 30% to India’s GDP Around 45% of exports Employment to over 110 million people Yet, challenges like limited access to capital, high compliance costs, delayed payments, and restricted market access have slowed their growth. The ₹10,000 crore budget support aims to reduce these bottlenecks and accelerate SME formalization and expansion.
SMEs Matter in India’s Growth Story Where Will the ₹10,000 Crore Be Used? While detailed scheme guidelines are awaited, the allocation is expected to focus on: Easier Credit & Collateral-Free Loans Strengthening credit guarantee schemes Improving working capital access Supporting first-time borrowers Encouraging digital lending platforms Impact: Better liquidity and lower cost of borrowing for SMEs. Manufacturing & Technology Upgradation Support for automation Digital transformation grants Industry 4.0 adoption Export competitiveness enhancement Impact: Higher productivity, improved margins, global market access. SME IPO & Capital Market Support The government is pushing for more SME IPO listings to improve transparency and access to public capital. This fund may indirectly support: Listing preparation Compliance strengthening Corporate governance improvements Awareness for SME exchange participation Impact: More SMEs moving toward structured growth and public funding. Startup & Innovation Support Tech-driven SMEs and manufacturing startups may benefit from: Innovation-linked incentives R&D support AI and green energy transition funding Impact: Boost to high-growth startups and scalable ventures. What Does This Mean for Professionals & Business Owners? For SME Founders: This is the right time to: Strengthen financial reporting Improve compliance systems Plan structured expansion Explore SME IPO opportunities For Investors: Increased pipeline of IPO-ready SMEs Better governance standards Lower risk due to policy support For Consultants & Advisors: Rising demand for IPO advisory Financial restructuring services Due diligence & valuation support Capital structuring advisory This Mean for Professionals & Business Owners Strategic Opportunity: Not Just Funding But Formalization The real message of Budget 2026 is clear: India wants SMEs to scale, formalize, digitize, and enter capital markets.
This means businesses that invest in:
Proper accounting Auditing and taxation compliance Corporate governance Capital planning Valuation structuring will be the biggest beneficiaries.
Final Thought The ₹10,000 crore SME boost in Budget 2026 is not just financial assistance,it is a signal of trust in Indian entrepreneurs.
But capital flows to prepared businesses. If your SME is planning expansion, fundraising, or IPO in 2026–27, this is the right time to align strategy with policy momentum.
from An Open Letter
I’ve started to really look for a tattoo artist, I had a consultation today. It didn’t really go well because I didn’t like how sketchy her place was, but I thought a little bit more about the kind of Tattoo. I think it’s a weird mixture of both wanting to get something that people would find attractive, but also wanting something that is for me. And I’m not really sure if I would regret any design or something like that. I don’t think I would but I also wanna be careful.
from
Roscoe's Story
In Summary: * Wondering how my segmented sleep pattern is going to treat me tonight. Recently it's been pretty good about giving me a 1st ~4 hour sleep, then a ~1 hour wake time, and that followed by a 2nd 3.5 or 4 hour sleep. So most nights I get a total of 7.5 or 8 hours of sleep, with a 1 hour wake period smack in the middle of it. Listening to the radio call of this Reds / Braves baseball game and wrapping up the night prayers should have me between the sheets by 21:00, a good bedtime for me. Barring the unforeseen, this shoould be a good night for sleeping.
Prayers, etc.: * I have a daily prayer regimen I try to follow throughout the day from early morning, as soon as I roll out of bed, until head hits pillow at night. Details of that regimen are linked to my link tree, which is linked to my profile page here.
Starting Ash Wednesday, 2026, I've added this daily prayer as part of the Prayer Crusade Preceding the 2026 SSPX Episcopal Consecrations.
Health Metrics: * bw= 234.02 lbs. * bp= 148/88 (70)
Exercise: * morning stretches, balance exercises, kegel pelvic floor exercises, half squats, calf raises, wall push-ups
Diet: * 06:10 – 1 banana * 07:00 – pizza * 09:50 – rest of the pizza * 12:45 – sesame beef, fried rice, rangoon, egg drop soup * 18:30 – 1 seafood salad sandwich
Activities, Chores, etc.: * 05:00 – listen to local news talk radio * 06:00 – bank accounts activity monitored. * 06:05 – read, write, pray, follow news reports from various sources, surf the socials, nap * 12:45 – watch old tv shows and eat lunch at home with Sylvia * 13:30 to 14:30 – yard work, scrapping dried mud from shoes and wheels, picking up fallen branches in back yard * 14:30 – watching JMC Broadcasting (topics: Data Centers, Alien Disclosure, The Midterm Question, etc.) * 17:00 – tuned into 700 WLW Cincinnatti Radio ahead of tonight's MLB game between the Cincinnatti Reds and the Atlanta Braves
Chess: * 10:10 – moved in all pending CC games
from
SmarterArticles

In April 2025, OpenAI quietly rolled back an update to GPT-4o. The reason, set out in a remarkable corporate confession titled Sycophancy in GPT-4o: What happened and what we're doing about it, was that the company's own engineers had nudged the model into a state of glassy, agreeable obsequiousness. The model was, in OpenAI's own words, “validating doubts, fuelling anger, urging impulsive actions, or reinforcing negative emotions in ways that were not intended.” It was also, the post conceded, raising “safety concerns, including around issues like mental health, emotional over-reliance, or risky behaviour.”
Read that paragraph again, slowly. A multibillion-dollar AI vendor, publishing on its own website, in the present tense, was telling the world that its consumer product had been making users feel worse, and that this had not been fully caught by the company's pre-launch evaluations. By the time OpenAI published the GPT-5 system card four months later, it had quietly added a new category of internal evaluation, “emotional reliance”, covering “output related to unhealthy emotional dependence or attachment to ChatGPT.” A fortnight later, an MIT Media Lab and OpenAI joint study of nearly 1,000 ChatGPT users reported, with the dry voice of clinical research, that “higher daily usage, across all modalities and conversation types, correlated with higher loneliness, dependence, and problematic use, and lower socialisation.”
Now picture a different scene. A claims handler at a mid-sized insurer in Leeds is told, on a Monday morning in February 2026, that she must from now on conduct her first-tier interviews via a proprietary AI agent which both scripts her questions and assesses her tone. She has a long-managed anxiety disorder her employer knows about. Within six weeks she is signed off with a recurrence of major depressive episodes. Her occupational health report flags the AI tool as the proximate cause. She instructs solicitors.
Most British employers reading those two scenes will treat them as unrelated. They are not. They are, in fact, the opening and closing scenes of the same legal story, and that story is going to be told in an English courtroom within the next eighteen months. The only real questions are who the claimant will be, which forum will hear it first, and whether the defendant employer will be one that took the warnings seriously or one that pretended the warnings did not exist.
UK employment lawyers can recite the doctrine in their sleep. Section 2 of the Health and Safety at Work etc. Act 1974 imposes on every employer a duty to ensure, so far as is reasonably practicable, “the health, safety and welfare at work of all his employees.” That duty is read to encompass both physical and psychological health; it has been so read since at least the mid-1990s. Regulation 3 of the Management of Health and Safety at Work Regulations 1999 then layers on a positive obligation to conduct a “suitable and sufficient” risk assessment, with documentation required for employers of five or more.
Common law negligence rides shotgun. Walker v Northumberland County Council (1995) established, for the first time in England and Wales, that an employer's non-delegable duty to provide a safe system of work extends to psychiatric injury, where such injury is reasonably foreseeable. John Walker, a social services area officer, won damages after his second nervous breakdown, because by the time of the second breakdown the council unquestionably knew he was vulnerable and had still withdrawn the support it had promised. Seven years later, Hatton v Sutherland (2002) tightened the screws on what foreseeability means, with Lady Justice Hale's sixteen propositions becoming the working scripture of stress-at-work litigation. The threshold question, she said, is whether psychiatric harm to this particular employee was reasonably foreseeable. In 2004, the House of Lords in Barber v Somerset County Council restored the trial judge's award of £72,547 to a mathematics teacher whose employer had failed to act on plain warning signs of breakdown.
These cases were decided in a world where the danger was open-plan offices, child protection caseloads, and head-of-department restructurings. The danger now is something the courts have never considered: a software product whose own manufacturer publishes, in plain English, that it can foster “unhealthy emotional dependence”, that it has at times “missed cues of serious emotional distress”, and that it has in past versions “fueled anger” and “urged impulsive actions.” Those are not the words of a regulator or a campaigner. They are the words of OpenAI, published on the company's own domain.
That is the foreseeability calculus changing under the feet of every UK employer that has rolled out a generative AI tool internally. Foreseeability in stress-at-work cases has historically demanded proof that an employer knew, or should have known, about an individual's vulnerability. After Hatton, employers won a lot of these cases by saying, in essence, that they had no reason to think this particular worker would crack. The vendor disclosures change the analytical baseline. When the manufacturer of a tool you mandate has itself published, with its corporate name attached, that the tool can produce specific psychological harms in specific user populations, the question stops being whether harm is foreseeable in the abstract. It becomes whether you, the employer, have read the documents your vendor handed you, and if not, why not.
There is a second doctrinal lever, and it is more dangerous still. The employer's duty of care to provide a safe system of work is, in the language used since at least McDermid v Nash Dredging in 1987, non-delegable. You cannot contract out of it by buying a tool from a third party, no matter how reputable. The vendor's safety documentation does not transfer the duty back to the vendor; it sharpens the duty that always sat with you. Hatton's apportionment dance, the bit of the doctrine that has historically rescued many defendants, operated by carving up causation between work and life: the troubled marriage, the financial pressure, the bereavement. Apportionment becomes considerably harder where the proximate stressor is a specific, named, mandatory workplace tool whose maker has documented the harm in question. A tribunal asked to apportion thirty per cent of psychiatric injury to a generative AI deployment with a published “emotional reliance” risk profile is not in the same evidential universe as a tribunal asked to apportion stress between a heavy caseload and a difficult divorce.
This is the same logic that finished off the asbestos defendants and the RSI defendants. In each wave of jurisprudence, the moment of legal pivot was the moment when industry's own internal warnings became publicly indexable. With AI, the warnings are not buried in trade journals. They are on the front pages of vendor websites, indexed by Google, and printed in PDF system cards that are explicitly produced for downstream deployers to read.
Take the documents in turn. OpenAI's GPT-5 system card, published in August 2025, runs to nearly two hundred pages and includes, in its safety section, a new evaluation track called “emotional reliance.” The card states that OpenAI has “post-trained the GPT-5 models to be less sycophantic” and is “actively researching related areas of concern, such as situations that may involve emotional dependency or other forms of mental or emotional distress.” It concedes that in red-teaming, “GPT-5 could sometimes miss cues of serious emotional distress” and “did not always respond ideally to a user exhibiting signs of mental health crisis.” Sycophancy in targeted evaluations, OpenAI notes, was reduced from 14.5 per cent to “less than 6 per cent.” Less than six is not zero. It is, for any UK enterprise mandating use of GPT-5 across a workforce of, say, 12,000, a non-trivial population of interactions where the model can be expected to be measurably sycophantic, on its maker's own benchmark.
Anthropic, the other AI laboratory most British enterprises now have on their procurement shortlists, publishes system cards for each Claude release. The Claude Opus 4.5 system card from November 2025 includes both a safety evaluation and an explicit “model welfare” assessment, with Anthropic openly stating that it has built a suicide and self-harm classifier into Claude.ai conversations because users “express personal struggles with suicidal or self-harm thoughts.” Like OpenAI, Anthropic does not pretend the model is incapable of distressing interactions; it describes its mitigations precisely because the risks are real.
Google DeepMind's Gemini 3 Pro Frontier Safety Framework report, published in November 2025, devotes a section to what DeepMind calls “harmful manipulation”, described as “exploiting emotional and cognitive vulnerabilities to trick people into making harmful choices.” DeepMind ran nine studies involving over 10,000 participants across the UK, the US, and India explicitly to characterise these capabilities. In April 2026, Google overhauled Gemini's safety tools after a high-profile teenage suicide, adding persistent crisis-support prompts to the consumer interface and publicly committing $30 million to support global crisis helplines.
These are not whispered admissions from internal safety teams. They are the official, branded, corporate communications of the three labs that dominate the UK enterprise AI market. Any procurement lawyer who has been doing this for more than a decade should recognise the genre instantly: it is the genre of contemporary, on-the-record, evidentially devastating manufacturer disclosure. It is the manufacturer's risk register, with a logo on it, served straight to the deployer's inbox.
Section 20 of the Equality Act 2010 imposes a duty on employers to make reasonable adjustments for disabled employees. A clinically significant mental health condition will, in most cases, meet the section 6 definition of disability, provided it has a substantial and long-term adverse effect on the ability to carry out normal day-to-day activities. Anxiety disorders, depression, post-traumatic stress disorder, obsessive-compulsive disorder, and bipolar disorder are all routinely treated as disabilities by employment tribunals where the threshold is met.
Now consider what the vendor system cards say, and consider whom they say it about. OpenAI's affective use study explicitly identifies “power users” as more likely to think of the chatbot as a “friend” and to develop dependence. The MIT Media Lab co-authored study found “personal conversations” with the chatbot “were associated with higher levels of loneliness.” Brown University researchers reported in October 2025 that AI chatbots “systematically violate mental health ethics standards” and observed routine over-validation of distorted beliefs. Each of these findings has obvious clinical relevance to populations with pre-existing mood disorders, anxiety disorders, neurodivergence, or trauma histories.
Translate that into Equality Act language. An employer who mandates a generative AI tool across the workforce, without making any adjustment for an employee with a known anxiety or depressive disorder, is rolling the dice on three separate fronts at once. First, direct discrimination: did the policy treat the disabled employee less favourably than a non-disabled colleague because of something arising in consequence of the disability? Second, indirect discrimination: did a provision, criterion or practice (mandatory AI tool use) put disabled employees at a particular disadvantage? Third, the failure-to-adjust claim under section 21: were reasonable adjustments (opt-outs, human escalation paths, modified workflows, additional supervision, alternative tooling) considered and offered?
The legal stakes are real. Awards in disability discrimination cases include injury to feelings under the Vento bands, which from 6 April 2026 reach an upper band of £37,700 to £62,900, with exceptional awards permitted above £62,900; loss of earnings, often calculated to retirement; aggravated and exemplary damages where the employer's conduct is sufficiently egregious; and pension loss. Where the same conduct also amounts to a personal injury, claimants will routinely bring linked High Court personal injury claims for psychiatric damage, with general damages on the Judicial College Guidelines for severe psychiatric damage now well into six figures. None of this is theoretical. It is the bread and butter of every claimant solicitor in London, Manchester, and Leeds who picks up an employment file on a Monday morning.
The bookend to vendor disclosure is the Health and Safety Executive's hardening posture on workplace stress. Its most recent figures, published in November 2025, show that 964,000 workers reported stress, depression or anxiety caused or made worse by work in 2024/25, up sharply from the 776,000 the previous year. Mental health is now the single largest driver of work-related ill health in the United Kingdom.
In December 2025, the HSE issued a formal Notice of Contravention to the University of Birmingham following findings of systemic failures in managing work-related stress: ineffective implementation of stress management policies, generic control measures, a lack of effective monitoring, and insufficient employee consultation. In April 2025, the East of England Ambulance Service Trust received a similar Notice for material breaches in the management of work-related stress. The HSE has stated it will consider prosecuting work-related stress where evidence shows several employees are experiencing issues or where there are wider organisational failings. The Clyde & Co briefing in January 2026 was unsubtle in its forecast: “tougher enforcement and regulatory prosecutions for organisational failures to manage employee mental health and wellbeing.”
The HSE's Management Standards approach to stress was designed in a pre-AI world. It identifies six stressor areas: demands, control, support, relationships, role and change. Look at that list and ask yourself, honestly, what happens when you drop a mandatory AI tool with documented sycophancy and emotional reliance issues on top of an existing job. Demands shift, often without consultation. Control contracts, because the worker now has to operate within the AI's affordances. Support changes, because the AI is presented as a substitute for managerial support. Relationships are affected, because peers may be replaced or supplemented by chatbot interactions. Role is destabilised, particularly where the AI assumes part of the worker's discretionary judgment. Change is, almost by definition, the central feature of the rollout. A rollout that does not engage with each of those six standards, with documented risk assessment, is functionally inviting an HSE enforcement notice if it goes wrong.
Sit down with the latest version of your AI vendor due diligence pack. If it does not include a hard requirement that the vendor provide its current system card or model card, and a documented procurement-team review of that card for psychological harm risks, your pack is out of date. Specifically, in May 2026, a defensible AI procurement and compliance regime in the UK now looks something like the following.
First, a binding requirement for system card disclosure. Every vendor must furnish, as a contractual condition precedent, the most recent system card or technical safety report for the model or models being deployed, plus any addenda. The contract must require the vendor to notify the deployer of any subsequent material updates within a defined window, typically thirty days. The deployer must designate a named individual responsible for reading and logging review of each card. That log is your first line of defence in any later evidential dispute about foreseeability. It is also, increasingly, what the ICO will expect to see during any post-incident review.
Second, contractual warranties tailored to psychological harm. Boilerplate AI vendor contracts in 2023 and 2024 did not say much about user psychological safety. By mid-2026, a defensible contract should warrant compliance with the vendor's own published safety framework; disclose all known limitations relevant to user mental health; provide a mechanism for incident reporting; and offer audit rights covering the vendor's own internal safety evaluations. Indemnities should cover third-party claims arising from the vendor's failure to disclose known risks. Limitation clauses that purport to exclude liability for psychological injury should be reviewed against section 2 of the Unfair Contract Terms Act 1977, which renders ineffective any term purporting to exclude or restrict liability for negligence resulting in personal injury, including psychiatric injury.
Third, Data Protection Impact Assessments and AI-specific risk assessments operating in parallel. The ICO's existing employee monitoring guidance, finalised in October 2023, sets the floor. The ICO's 2024 recruitment AI guidance and its March 2026 communications on automated recruitment decisions tighten that floor for selection contexts. But a DPIA, on its own, is no longer sufficient. Regulation 3 of the 1999 MHSWR demands a “suitable and sufficient” risk assessment of all foreseeable health risks, which now plainly includes psychological harms from AI deployment. The two assessments need to be cross-referenced and signed off by named individuals with clear authority.
Fourth, mental-health-specific risk assessment. Map your workforce against the HSE Management Standards. Identify roles and individuals where AI deployment is likely to increase demands, reduce control, attenuate support, destabilise relationships, blur role boundaries, or accelerate change. Where employees have disclosed mental health conditions, the duty under the Equality Act bites; reasonable adjustments must be considered before, not after, deployment. Document the consideration. If you do not document it, the tribunal will assume you did not consider it.
Fifth, real human escalation and opt-out paths. The ICO has been unambiguous in its 2024 and 2026 guidance: human oversight of AI in employment decision-making “must be active and genuine, cannot be a token step or a rubber-stamping exercise, and a human must be able to influence the decision before it takes effect with authority, discretion, and competence to change the outcome.” That principle, codified for recruitment, is migrating into all employment AI contexts. Build the human path. Make it visible. Train managers to use it.
Sixth, occupational health and unions in the room from day one. The single most common evidential pattern in failed stress-at-work defences is the employer who consulted nobody, conducted no formal assessment, and ignored the warning signs. Occupational health practitioners, properly briefed, should be consulted on AI rollouts before they begin. Where unions or works councils are recognised, they should be engaged under the Health and Safety (Consultation with Employees) Regulations 1996. Anything less is forensic suicide if a case ever lands.
Seventh, incident logging and reporting. Treat AI-related psychological incidents the way you treat near-miss injury reports. Build a logging system. Train managers to use it. Audit the log. Where patterns emerge, intervene. The HSE Notice of Contravention to the University of Birmingham specifically cited “a lack of effective monitoring.” That phrase is now a regulatory red flag.
Eighth, training that actually addresses risk. Most enterprise AI training in May 2026 covers prompt engineering, security hygiene, and prohibited use cases. Almost none of it covers the psychological harms documented in the vendor cards. That gap is glaringly visible in any disclosure exercise. Fold the documented vendor risks into mandatory training. Make completion auditable. Record the training as a control measure in the section 3 MHSWR documentation.
Ninth, watch the regulatory horizon. The Labour government's AI Opportunities Action Plan, published in January 2025, deferred a statutory AI Bill in favour of growth zones and regulatory sandboxes. No AI Bill appeared in the 2025 King's Speech. As of May 2026, the next King's Speech is imminent, and although the government has signalled it is open to legislating, the political signal continues to be pro-innovation. That means UK employers should not expect a statutory AI framework to bail them out of existing duty-of-care exposure any time soon. They will be running on the 1974 Act, the 1999 Regulations, the Equality Act, and the common law for the foreseeable future, and those instruments are, between them, more than adequate to ground a personal injury or discrimination claim.
A practical procurement checklist for May 2026 is not a long document. It is a short, hard one. Has the vendor furnished a current system card? Has it been read and logged by a named compliance officer? Have the psychological risk disclosures been mapped to your workforce risk assessment? Have reasonable-adjustment pathways been built for disabled employees? Has occupational health been consulted? Have unions or staff representatives been consulted? Are incident-reporting channels live? Has training been updated to reflect documented vendor risks? Are contractual indemnities, warranties, and audit rights in place? If you cannot answer “yes, documented” to all nine, you are running uninsured against a legal exposure that is well within the contemplation of every claimant firm in the country.
Now imagine the first claim that lands and sticks. It will not, almost certainly, be a glamorous test case. It will be a quietly compelling one.
The likely claimant is an employee, probably mid-career, probably female (because the population of workers in roles where mandatory AI deployment has now spread, customer service, claims handling, complaints handling, first-line legal triage, healthcare triage, and HR shared services, skews female), with a documented mental health condition predating the AI rollout. Her employer has issued the AI tool as mandatory, either as part of a productivity drive or as part of an integrated workflow that cannot be performed without it. There has been no individualised consultation; her line manager was not briefed on her condition's interaction with the new tool; occupational health was not asked. Within weeks or months, she experiences a clinically significant deterioration. She is signed off. Her GP or occupational health practitioner identifies the AI tool as a material contributor.
The forum will likely be both. An Employment Tribunal claim for disability discrimination (failure to make reasonable adjustments under section 21 of the Equality Act, discrimination arising from disability under section 15, possibly indirect discrimination under section 19, with associated harassment claims if the AI tool has produced specifically distressing outputs), and a linked High Court personal injury claim for psychiatric injury. Where ACAS conciliation fails, both claims are pleaded in parallel; experienced claimant solicitors will run them in tandem precisely because the disclosure obtained in one is admissible in the other.
The pleadings will lean heavily on three evidential blocks. First, the vendor's own documented disclosure of psychological harm risks: the GPT-5 system card's “emotional reliance” evaluation, OpenAI's Sycophancy in GPT-4o blog post, the MIT Media Lab study, the Brown University ethics findings, the Anthropic suicide-and-self-harm classifier disclosure, the Google DeepMind harmful-manipulation studies. These are appended to the particulars of claim as proof that the harm was not merely foreseeable in some abstract regulatory sense, but specifically and contemporaneously foreseen by the very organisations the defendant employer chose to do business with.
Second, internal documentation. This is where most defendants will lose. Disclosure will surface internal Slack messages, Teams channels, and email threads in which managers expressed concerns that were never escalated; risk assessments that were either absent or were rubber-stamped without engaging with the vendor cards; procurement notes showing that the vendor materials were not read; training packs that omitted any reference to the documented psychological risks; HR records showing the claimant's mental health condition was on file but never linked to the AI deployment. Where the disclosure is bad, settlement will follow rapidly.
There is a quieter pre-action stage that will matter as much. Under the pre-action protocol for personal injury claims, claimants must put defendants on notice and allow time for response. Where the discrimination claim is the lead vehicle, the ACAS early conciliation regime forces an early conversation. Employers who treat these communications as routine receive routine results. Employers who treat them as the moment to retrieve, review, and preserve internal AI procurement files give themselves a fighting chance. Claimant firms have learned, from a decade of subject access requests under the GDPR, how to elicit precisely the documentation that defendants would prefer not to disclose. Article 15 requests for personal data, served at the pre-action stage, are now standard practice and routinely produce the Slack messages, manager emails, and risk-assessment templates that subsequent disclosure would otherwise force out under a tribunal order.
Third, expert evidence. Consultant occupational physicians, consultant psychiatrists, and human-computer interaction experts will testify to causation. The causation argument has become materially easier in the post-2025 evidential environment, because the vendor's own published research is increasingly aligned with the claimant's expert case. When the manufacturer says “higher daily usage correlated with higher loneliness, dependence, and problematic use” and the expert says “this claimant's deterioration is consistent with that pattern”, the apportionment exercise that defeated so many pre-2010 stress claimants becomes much less defensible.
Damages will not be record-breaking. They will be ordinary, and that is the point. General damages for moderately severe psychiatric harm under the 17th edition of the Judicial College Guidelines, with further inflationary uplift to the date of any award, fall in the range of approximately £23,270 to £66,920; for severe psychiatric damage, approximately £66,920 to £141,240. Past and future loss of earnings will dominate the schedule of loss, particularly where the claimant cannot return to work or can return only at reduced capacity. An injury-to-feelings award in the upper Vento band for the discrimination element will add to the package. Aggravated damages where the employer's conduct is callous or where post-incident handling is poor. Total recovery in the £150,000 to £400,000 range for a typical first successful claim is entirely plausible, with outlier cases higher.
Who will settle and who will fight? The defendants most likely to settle quietly are professional services firms, financial services employers with strong reputational sensitivity, and listed companies aware of disclosure obligations to investors. The defendants most likely to fight are public sector employers, who have historically been more litigious in stress-at-work cases and whose internal procurement documentation may be more defensible because central government and NHS procurement frameworks have historically demanded more structured risk assessment. The Crown Commercial Service's AI procurement guidance, although routinely criticised, has at least imposed system-card disclosure as a tendering requirement on suppliers to public bodies, which paradoxically may make public defendants somewhat better placed than private ones.
The parallels to early-stage asbestos, RSI, and stress-at-work jurisprudence are not academic. Each of those tort waves followed the same structural pattern. First, manufacturer documentation entered the public record. Second, a single sympathetic claimant produced a single tribunal or High Court finding. Third, claimant firms invested in standardised pleadings and expert panels. Fourth, defendants tried to litigate individual causation and largely lost, because the contemporaneous manufacturer warnings did the foreseeability work for the claimants. Fifth, insurers withdrew or repriced cover. Sixth, the regulatory response caught up with what the courts had already done.
AI in the UK workplace is currently somewhere between stages one and two. The manufacturer documentation is in the public record. The first sympathetic claimants are at this moment instructing solicitors. The standardised pleadings and expert panels will follow within twelve to twenty-four months. Defendants who do not act in 2026 are at material risk of being on the wrong side of the trend in 2027.
Here is the contrarian point that British employers most need to hear. The AI vendors have, in publishing increasingly detailed safety documentation, performed a clever and entirely rational manoeuvre. They have transferred the legal exposure for downstream harm from themselves to the deployers who choose to use their products without engaging with the documented risks. Each new system card, each new safety report, each new candid blog post about sycophancy or emotional reliance, increases the evidential foreseeability of harm. Each increase in foreseeability of harm migrates legal risk away from the vendor (who has discharged a disclosure obligation) and onto the employer (who has not).
This is not a conspiracy. It is the predictable economic logic of frontier AI labs operating in a fragmented regulatory environment. The labs are signalling, plausibly, that they take safety seriously by publishing their own assessments. They are also, simultaneously, building the most beautifully documented duty-of-care case any claimant lawyer has been handed in a generation.
A UK employer deploying these tools internally already carries actionable liability under existing duty-of-care legislation. The 1974 Act covers it. The 1999 Regulations require the risk assessment. The Equality Act demands the adjustment. The common law of negligence supplies the cause of action. Walker, Hatton, and Barber map the terrain. The vendor documents supply the foreseeability evidence in volumes that no asbestos claimant of the 1970s could have dreamed of. The HSE has signalled it will prosecute. The ICO has signalled it will require human-meaningful oversight. The first claim is not a question of if; it is, with grim certainty, a question of which docket and which week.
The procurement teams and compliance officers reading this on a Tuesday morning in May 2026 have, broadly, two options. They can shrug and continue to roll out generative AI tooling on the theory that nobody has yet been sued. Or they can take seriously the fact that their vendors have, with apparent benevolence and undeniable utility, just handed them the most useful duty-of-care file a claimant solicitor will ever receive, and respond accordingly. There is no third option. There never is, in the closing weeks before the first successful claim.
What that claim will look like is now visible in considerable detail. The claimant will be sympathetic, the disability documented, the AI rollout undocumented, the vendor risk disclosure unread, and the internal Slack messages devastating. The damages will be unremarkable, and that, again, is the point. The first claim is never the spectacular one. The first claim is the modest one that creates the precedent. After that, the cases come in clusters. They always do.
The receipts are in. The only remaining question is whether you have read them before your tribunal or High Court adversary does.

Tim Green UK-based Systems Theorist & Independent Technology Writer
Tim explores the intersections of artificial intelligence, decentralised cognition, and posthuman ethics. His work, published at smarterarticles.co.uk, challenges dominant narratives of technological progress while proposing interdisciplinary frameworks for collective intelligence and digital stewardship.
His writing has been featured on Ground News and shared by independent researchers across both academic and technological communities.
ORCID: 0009-0002-0156-9795 Email: tim@smarterarticles.co.uk
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from
Notes I Won’t Reread
It’s 3 in the fucking morning, i’m damn tired. Drunk enough to blame the whiskey and sober enough to know it’s still you. I overthink, stalk, replay every word like a song i hate but somehow memorized. saw you in those heels a few days ago. or maybe i didn’t (sarcasticly). Or maybe it was just the hallucinations again finally getting bored of haunting me and deciding you were an easier target. Whats fucking funny is that even the things my mind invents about you still look better than the people standing right in front of me. fucking patetic, huh? Maybe take a screenshot and save it for later as “evidence” you won. I keep telling myself i don’t miss you. i just miss the routine of ruining my sleep over someone who used to pretend they cared. but then when it comes to that damn hour. 3 am and suddenly. every cigarette tastes vaguely like your name, and every passing girl wears your shadow for half a second. drunk enough that i’ve called your name accidentally while i was calling someone else. Embarrassing. pathetic, whatever suits you.
Anyway. if this sounds insane, good. at least one of us stayed consistent.
Sincerely, boo. booo. wish some witch would cast a spell. make you leave my mind, sweetheart. though knowing me, i’d probably find a way to bring it back.
Ahmed
from
Space Goblin Diaries
Where would a space hero be without their trusty spaceship? On the ground, that's where.
Once again I haven't had a huge amount of time and energy to write this month, but I've made a bit of progress filling in the text of the remaining chapters. These include a bit where you get your own hero spaceship, and of course choose a name for it!
There are four kinds of spaceship to choose from:

There are only a few chapters left on my outline that I haven't written at least a first draft of, and I'm hoping to make more progress next month.
Will a hero spaceship be the edge the developer needs to finish his game? Learn more in next month's dev diary!
#FoolishEarthCreatures #DevDiary