8- Claude Code sur Bedrock : sans clé API Anthropic export CLAUDE_CODE_USE_BEDROCK=1 Cette seule variable d'environnement permet à Claude Code de fonctionner via le compte AWS existant. – Authentification gérée côté AWS
– Facturation intégrée dans la facture Bedrock du client
SOFTWARE
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Using Claude Code via AWS Bedrock for API-free Access
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State Space Models in Gallery Updates
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I have models with state space layers in the gallery (e.g., Nemotron 3). Anything since April I missed though?
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Apple may update Siri as Claude Code handles assistant tasks already
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Apple may be planning to role out its updated Siri based on 2024's vision at the moment when Claude Code and Codex (also OpenClaw) can increasingly do the actual assistant thing: read my emails & calendar, proactively spot & solve problems, do delegated tasks, work with voice etc
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A 20-year-old earns $37,250 with an AI content factory
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Un jeune de 20 ans a généré 37 250 $ en un seul mois grâce à du contenu YouTube… sans presque jamais ouvrir un logiciel de montage.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 10 mai 2026
Il a construit une véritable “content factory” autonome où Claude agit comme le cerveau et Premiere Pro comme le corps.
Pendant qu’il dort, sort… https://t.co/NRJJAfFlcS pic.twitter.com/stmnqZEnudA 20-year-old generated $37,250 in a single month through YouTube content… without almost ever opening editing software. He built a true autonomous “content factory” where Claude acts as the brain and Premiere Pro as the body. While he sleeps, goes out
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Answer to cryptic OpenAI post: Codex mobile app
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Looks like we got an answer to that cryptic openai post. codex mobile app. cant verify, hope its real 🙂 would be really cool to see!
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Deeper Integration of Codex and ChatGPT Expected Soon
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We will likely see a deeper integration between Codex and ChatGPT already very soon. > Use the ChatGPT app on your phone to keep working with Codex whenever your computer is awake. Additionally, this image from OpenAI sparked loads of speculations, including the one where
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Speculative decoding speeds up LLMs by 6x
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The slowest part of running an LLM just got 6x faster without losing a single token.
— AlphaSignal AI (@AlphaSignalAI) 10 mai 2026
LLMs generate text one token at a time.
That sequential bottleneck wastes GPU power and slows everything down.
Speculative decoding fixes part of this.
A small draft model guesses ahead,… pic.twitter.com/y7YlqTWvrjThe slowest part of running an LLM just got 6x faster without losing a single token. LLMs generate text one token at a time. This sequential bottleneck wastes GPU power and slows everything down. Speculative decoding addresses part of this issue. A small draft model predicts ahead.
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Rediscovering Karpathy’s wikiLLM with Obsidian and Claude as a second brain
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I'd somehow completely forgotten that Karpathy introduced the wikiLLM a while back (obsidian + Claude code/codex). I'm sick in bed and set it up because I have nothing else to do. I love it. I have a second brain now. Amazing.
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Distinguishing Orchestrator and Harness in AI Task Completion
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unclear the diff between orchestrator and harness since they both have TASK_DONE
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Architectural design of open-source AI libraries
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真没见过哪个开源 Repo，能把 18 个 use case 塞进去还没乱套。
— 艾略特 (@elliotchen100) 10 mai 2026
架构方法、Benchmark、Memory 模式，一库打尽。 https://t.co/9z2G8VxrSvI've never seen an open-source repo that can cram 18 use cases in without turning into a mess. Architecture methods, benchmarks, memory patterns—all covered by one library.