Cloudflare pointed Anthropic's Mythos Preview at 50+ of their own repos. They call it a step-function forward "Mythos Preview is a real step forward, and it's worth saying that plainly before getting into anything else." The big finding isn't the bugs it caught – It's that the
GENERATIVE AI
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Impact of Output Length on LLM Reasoning Accuracy
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The most useful finding for anyone using AI daily: When they capped reasoning at 60% of the model's natural length, it maintained 97% of peak accuracy. Longer natural outputs also correlated with lower accuracy. 71.9% accuracy under 4K tokens. 44.7% accuracy above 12K. The
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Analysis of LLM reasoning performance relative to token length
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It gets worse for simple questions. Easy problems hit the overthinking zone at 2,000 tokens. Hard problems don't hit it until 8,000. Translation: the simpler the question, the faster the model starts hurting its own answer by thinking longer. Optimal reasoning length varies
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Analysis of LLM Self-Correction Failures
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67.5% of these flips are genuine overthinking. The model explicitly reconsiders a correct answer, says "wait, let me double-check," and then replaces it with a wrong one. Not a glitch. Not hallucination. The model second-guesses itself into failure. The tell? Phrases like
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Google I/O: Gemini 3.5 Flash Model Launch
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GOOGLE I/O : We are getting Gemini 3.5 Flash today! > GEMINI
> GEMINI
> GEMINI
> GEM -
Top AI Stories: OpenAI Lawsuit, Cursor 2.5, Claude 3D, World Models
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Top stories in AI today: – Elon Musk loses lawsuit against OpenAI, Microsoft
– Cursor’s Composer 2.5 nears coding frontier
– 3D model anything with Claude and Blender
– Odyssey’s multimodal, multiplayer world models
– 4 new AI tools, community workflows, and more -
Claude Code ADK and the Automation of Enterprise Development Workflows
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The ADK drops inside Claude Code. Voice agents now ship from a terminal with git, CI/CD, and version control. Flows that took weeks at enterprise rollouts now take an afternoon.
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Human-like behavior is the next leap for AI avatars
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La mayoría de avatares IA todavía parecen “texto con cara”.
— Nico (@nicos_ai) 19 mai 2026
Esto ya empieza a sentirse más como dirección creativa real.
Pausas, miradas, microexpresiones, gestos…
el salto no está en verse humano,
está en comportarse humano. https://t.co/Usw6RALizzMost AI avatars still look like "text with a face." This is already starting to feel more like real creative direction. Pauses, glances, microexpressions, gestures… the leap isn't in looking human,
it's in behaving human. -
Regression reported in Anthropic’s Opus 4.7 model performance
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Opus 4.7 is ignoring project instructions, skipping MCP servers, and burning through usage limits on tasks Opus 4.6 handles first try. Dozens of confirmed reports. Anthropic acknowledged the regression. The failures are specific:
→ Project instructions ignored entirely
→ MCP -
Optimizing LLM token usage by removing polite filler
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The bigger point: you're paying for "Certainly!" and "I'd be happy to help with that" on every single response. Those tokens cost real money at scale. And they cost you time at every scale. Caveman mode isn't a hack. It's a correction. LLMs were trained on polite human text.