Global AI News Aggregator
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Anthropic CEO: 50% of tech, legal, and finance jobs will vanish within 5 years.
— Charly Wargnier (@DataChaz) 13 avril 2026
If you aren't learning Claude right now, you're falling behind. https://t.co/Xc6M8pNoCU pic.twitter.com/UVEVoG3kB7
Anthropic CEO: 50% of tech, legal, and finance jobs will vanish within 5 years. If you aren't learning Claude right now, you're falling behind.
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Scaling model size is hitting diminishing returns. The real gains are in orchestration. Our Co-Founder & Co-CEO @yshoham makes the case in a rare long-form profile by @Calcalistech today. CTech (@Calcalistech) The man trying to ground the AI boom. Prof. @yshoham, one of the world's leading artificial intelligence researchers and founder of @AI21Labs, discusses hype cycles, unreliable systems, and the long road to trustworthy artificial intelligence. calcalistech.com/ctechnews/a… — https://nitter.net/Calcalistech/status/2043339162607075708#m
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(german, english down below) Folge #2 des rAIcast ist draußen! Der KI-Podcast von Mansoor Koshan, Rechtsanwalt und KI Entwickler und mir DeepSeek, Claude Mythos und OpenAIs neuer Gesellschaftsvertrag – ab sofort verfügbar DeepSeek V4 auf Huawei-Chips Amerikas Chip-Embargo
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Claude is going to be the everything app. Rumor has it, and it seems the next update will include an app builder. Apps are now vibe-coded. The App Store is going to see a flood of new apps. Holy moly.
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Holy f*ck, Anthropic is coming after vibe-coding platforms. A new leak shous they’ve built a Lovable-like feature where you can build full-stack apps easily coming soon to Claude
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What was the prompt context? Claude can get weird with certain system prompt interactions TBH.
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https://
linkedin.com/pulse/new-era-
writing-machines-what-journalism-becomes-next-fabio-moioli-k0t4f/
… The New Era Of The Writing Machines: What Journalism Becomes Next
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SGLang is so underrated for inference optimization. Will check this out, Andrew!
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How to stop AI agents from ruining your codebase (with one 18K+ star file) @Karpathy recently ranted about how LLMs code: They assume too much, overcomplicate simple tasks, and refactor things that aren't broken. To fix this, a dev turned those observations into a project
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Depends a lot on what "most cognitive tasks" means. We're far from maxing out current models on existing tasks.