Remember that you are not talking to "the AI", but you are using a powerful text generator to co-create a story about the interaction between a user and the simulacrum of an Artificial Intelligence.
LLMS
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Anthropic’s success: digital Jesus or Antichrist separated by a bit
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The current trajectory of Anthropic is both beautiful and terrifying: when Anthropic succeeds, a significant subset of society will govern their lives based on "what would Claude do?". A digital Jesus. But the difference between Christ and Antichrist can be a single bit.
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AI Reformulators vs Agent Approach: Research, Reasoning, Verification
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La plupart des outils de rédaction IA ne sont finalement que des reformulateurs améliorés.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 3 juin 2026
Ce qui a retenu mon attention ici, c'est l'approche orientée agent :
recherche → raisonnement → vérification des faits → rédaction
C'est une direction bien plus intéressante pour la… https://t.co/BwEOotr8DuMost AI writing tools are ultimately just improved reformulators. What caught my attention here is the agent-oriented approach: research → reasoning → fact-checking → writing. It's a much more interesting direction for the
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GitHub’s Agent Era: AI agents drive evolution beyond code hosting
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🆕GitHub's Agent Era: 14x commits, 200M developers, Copilot’s next act https://t.co/4JxxgKmJOi@github COO @kdaigle explains why AI agents are forcing GitHub to evolve beyond code hosting, how Copilot is moving from autocomplete to CLI, desktop, cloud agents, and ambient… pic.twitter.com/B3afrwBuaG
— Latent.Space (@latentspacepod) 3 juin 2026GitHub's Agent Era: 14x commits, 200M developers, Copilot’s next act https://
latent.space/p/github @github COO @kdaigle explains why AI agents are forcing GitHub to evolve beyond code hosting, how Copilot is moving from autocomplete to CLI, desktop, cloud agents, and ambient -
Gary Marcus asks Elon Musk about GPT-5’s superior intelligence
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Remind me, @Elonmusk
, was GPT-5 really smarter than the smartest humans? -
Improving DX for OpenAI API, SDKs and platform – seeking feedback
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going to focus the next few weeks on improving DX for OpenAI API, SDKs and platform, what could be better? what are some papercuts and nothing is too small – docs, tutorials, guides, cookbook hit me up with all 🙂
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Selling the shovels while others burn 100B tokens monthly
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POV: selling the shovels while others blow through 100B tokens a month https://t.co/ozCVNgO1jg pic.twitter.com/JNFR0sUII1
— The Rundown AI (@TheRundownAI) 2 juin 2026POV: selling the shovels while others blow through 100B tokens a month
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Factory’s auto model selection outpaces OpenAI and Anthropic
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Factory now auto selects the right model for you…I don’t see how Anthropic or OpenAI can compete with this.
— Nathan Lands (@NathanLands) 2 juin 2026
Models will continue to be good at different things, with different cost profiles. And that will change more rapidly over time.
Now you don’t have to worry about that. https://t.co/ChWaOWnzv3Factory now auto selects the right model for you…I don’t see how Anthropic or OpenAI can compete with this. Models will continue to be good at different things, with different cost profiles. And that will change more rapidly over time. Now you don’t have to worry about that.
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Codex Mobile excels with super long-running prompts
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Codex Mobile is amazing with super long-running prompts
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AI identifies cat; bounding box pixel decoding is slow
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An AI can tell you there's a cat in the image. Pointing to the exact pixels is the hard part.
— Satya Mallick (@LearnOpenCV) 2 juin 2026
The reason it's slow: most VLMs spell out a bounding box one coordinate token at a time — some even split "1024" into single digits. But a box's corners are connected. Decode them… pic.twitter.com/eoJu0PiHGUAn AI can tell you there's a cat in the image. Pointing to the exact pixels is the hard part.
The reason it's slow: most VLMs spell out a bounding box one coordinate token at a time — some even split "1024" into single digits. But a box's corners are connected. Decode them