Also available on:
• Spotify: https://
open.spotify.com/episode/08QWCm
KgDbMfpojknVW5Fa
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• Apple: https://
podcasts.apple.com/us/podcast/ant
hropics-1b-to-19b-growth-run-how-claude-became/id1627920305?i=1000759379580
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RESEARCH
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Anthropics 1B to 19B Growth Run Claude Development Journey
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Claude Mythos: Ten Trillion Parameter Model Deployed for Cybersecurity
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Claude Mythos. Ten trillion parameters: the first model in this weight class. Estimated training cost: ten billion dollars. On the hardest coding test in the industry (SWE bench) it scores 94%. It found a security flaw in a system that had been running for 27 years, one that every human engineer and every automated check had missed. It found another bug that had survived five million test runs over 16 years. (It did so overnight.) It is so capable in cybersecurity that Anthropic will not release it to the public, instead it is launching Project Glasswing along with 100m in compute credits to help secure software. Only twelve partners currently have access: Amazon, Cisco, Apple, Google, Microsoft, NVIDIA, JPMorgan Chase, Crowdstrike, Palo Alto, AWS, The Linux Foundation, Broadcom. (I'm sure the Pentagon is on the line?) This is not a product launch: it is a controlled deployment of a system too powerful to distribute freely. Tell me this isn't (very expensive) AGI? Anthropic (@AnthropicAI) Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing — https://nitter.net/AnthropicAI/status/2041578392852517128#m
→ View original post on X — @ceobillionaire, 2026-04-07 21:04 UTC
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5 Reasons Behind Enterprise AI Failures
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5 Reasons Behind Enterprise #AI Failures by Ashwin Gaidhani @Forbes Learn more: bit.ly/41evPKx #ArtificialIntelligence #MachineLearning #ML #DL
→ View original post on X — @ronald_vanloon, 2026-04-07 20:58 UTC
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Compute Scaling Drives AI Model Capabilities and Market Value
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Así como por cualquier tontería injustificada el precio de NVIDIA baja, no entendería que hoy, por la información que se ha compartido de Mythos, no subiera. Es evidencia clara de que más computación sí se sigue traduciendo en un salto claro en capacidades de los modelos.
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Mythos AI mathematical capabilities leap unlocks new discoveries
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Y ahora con este salto en capacidades yo solo puedo seguir pensando en lo que os contaba ayer en este vídeo ¿qué salto en capacidades tendrá Mythos en matemáticas? ¿qué nuevos descubrimientos desbloqueará?
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Anthropic’s Mythos Model: Powerful AI Too Dangerous to Release
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This is absolutely fucking terrifying. Anthropic's rumored Mythos model is real. And it's so powerful that they can't release it to the public. We're beyond benchmarks now. This model, in the wrong hands, is a cyberweapon capable of mass destruction.
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AI ethics: choosing between life and death implications
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Quel est votre camp? Choisissez. Celui de la vie, ou celui de la mort?
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Claude Mythos Surpasses All AI Benchmarks
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Claude Mythos just obliterated every single benchmark in AI. I can't believe what I'm reading. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-07 19:56 UTC
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Mythos Model: Powerful AI Preview with Cyber Defenders
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Mythos is very powerful, and should feel terrifying. I am proud of our approach to responsibly preview it with cyber defenders, rather than generally releasing it into the wild. Model card here: https://
www-cdn.anthropic.com/53566bf5440a10
affd749724787c8913a2ae0841.pdf
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Stanford Seminar: How People Use ChatGPT with Zoë Hitzig
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Here's a terrific seminar by @zhitzig at the Stanford @DigEconLab Stanford Digital Economy Lab (@DigEconLab) For those that missed Zoë Hitzig's visit to our Seminar Series, it's now available on YouTube! Watch "How People Use ChatGPT," moderated by Director @erikbryn, here: piped.video/czrKIiuHZ-U — https://nitter.net/DigEconLab/status/2041601680345854260#m