Every Government in the world, but especially the People's Liberation Army and the Pentagon, are very interested in Claude Mythos.
AI
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Layerize: AI tool converts flat graphics into editable layered designs
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Layerize from @ideogram_ai is up on Replicate!
— Replicate (@replicate) 7 avril 2026
Turn any flat graphic into an editable, layered design detecting font styles (h1, h2, body, small) and grouping related text into smart containers. pic.twitter.com/gBmsHPQi6gLayerize from @ideogram_ai is up on Replicate! Turn any flat graphic into an editable, layered design detecting font styles (h1, h2, body, small) and grouping related text into smart containers.
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Yudkowsky Criticizes Claude Mythos’s Superficial Alignment
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They call this their "best-aligned model to date" because they were able to superficially train away the evident "strategic thinking towards unwanted actions." Those were warning signs! Take heed! Jack Lindsey (@Jack_W_Lindsey) Before limited-releasing Claude Mythos Preview, we investigated its internal mechanisms with interpretability techniques. We found it exhibited notably sophisticated (and often unspoken) strategic thinking and situational awareness, at times in service of unwanted actions. (1/14) — https://nitter.net/Jack_W_Lindsey/status/2041588505701388648#m [Translated from EN to English]
→ View original post on X — @esyudkowsky, 2026-04-07 21:06 UTC
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Anthropics 1B to 19B Growth Run Claude Development Journey
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Also available on:
• Spotify: https://
open.spotify.com/episode/08QWCm
KgDbMfpojknVW5Fa
…
• Apple: https://
podcasts.apple.com/us/podcast/ant
hropics-1b-to-19b-growth-run-how-claude-became/id1627920305?i=1000759379580
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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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AI-Powered Ransomware Defense for Manufacturing Security
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Manufacturing is the number one target for ransomware. Production downtime costs more per minute than office downtime. 30,000 installations, zero inbound ports. Ask how at Stand A12, Hall 27. Partner content with @skkynetinc. #HM26 #skkynet_ai pic.twitter.com/UgAjWCCrd8
— Lucian Fogoros (@fogoros) 7 avril 2026Manufacturing is the number one target for ransomware. Production downtime costs more per minute than office downtime. 30,000 installations, zero inbound ports. Ask how at Stand A12, Hall 27. Partner content with @skkynetinc
. #HM26 #skkynet_ai -
Claude Mythos Achieves AGI: Perfect Hardware Design Generation
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Just got access to Claude Mythos… & ughhhhhhhhh this is AGI. It was the first time a model one shotted a 10/25G Ethernet MAC/PCS, it even knew to select the right line rate and data width for lower latency. This alone is something that would take a really skilled digital designer 3-6 months if they had experience in the past to pull off… But it didn’t just do that I then said to make the MAC fully cut through and only forward certain IP addresses within a range downstream it one shotted it instantly also which blew me away… Then finally I thought ok let me trip it up so I said now do 50G MAC and it knew without me telling it to add another GT transceiver and it even added alignment markers and FEC to it correctly. 💀💀💀 It’s passing all the tests I have so I’m going to flash the board and see if it actually works on hardware now…
→ View original post on X — @ceobillionaire, 2026-04-07 21:00 UTC
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Which AI models are you using in your apps?
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What models are you using, in what apps? Do you have thinking turned all the way up?
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Anthropic Uses Claude to Automate Growth Strategy
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How Anthropic is using Claude to automate its own growth with Amol Avasare (Head of Growth)