Really interesting ideas are going to be increasingly at a premium as the cost of executing those ideas drops. (Our research and others shows AI is quite good at generating interesting ideas, but not nearly as good at generating outlier really interesting ideas)
GENERATIVE AI
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xAI Unveils Voice API for Developers
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One of the xAI API's most underrated features is our Voice API (which includes text-to-speech and voice agents). We're giving all developers access to literally the same tech that powers experiences like Grok in Tesla. docs.x.ai/developers/model-capabilities/audio/text-to-speech [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-12 01:45 UTC
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Making GPT More Agentic: Configuration Options
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Try one of the options in my tweetstorm if you feel GPT is not agentic enough in the default settings.
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GPT-5 Strict Mode: Addressing Lazy Agent Execution Issues
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Two experiments in the next @openclaw to address some "GPT is lazy" issues: 1) Strict mode: agents.defaults.embeddedPi.executionContract = "strict-agentic" This tells GPT-5.x to keep working: read more code, call tools, make changes, or return a real blocker instead of
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Why Anthropic Refused Release Most Powerful AI Model
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Why Anthropic Refused to Release Its Most Powerful AI Yet? https://
youtu.be/86jjRbZQNQ4?si
=6MmWtXwJX2nj4QU0
… via @YouTube #mythos #anthropic #GenerativeAI #AI #artificialintelligence #GenAI #LLMs @PawlowskiMario @chidambara09 @Ym78200 @CurieuxExplorer @efipm @bigfundu @sayedflah @Ronald_vanLoon -

Anthropic’s Claude Mythos: Criticism of Safety Claims
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"Anthropic's Claude Mythos isn't a sentient super-hacker, it's a sales pitch — claims of 'thousands' of severe zero-days rely on just 198 manual reviews" Get used to the "Effective Altruists" fear and self-hating multi-level marketing system, it is just starting. [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-11 23:58 UTC
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Meta’s Muse Spark with 16 Agent Collaboration
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Meta started rolling out Contemplating mode for Muse Spark, where 16 agents will work on your prompt to synthesize a consolidated answer! Deep Think for free? h/t @borrowed_ideas
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Claude Code Validates Breakthrough in Neurosymbolic AI Hybrid Approach
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Gary Marcus strikes again! He directly reveals the core truth after Claude Code source code leak: ✅ Claude Code is the biggest advance since the LLM era
✅ But it's not pure LLM, and it's not pure deep learning
✅ Core file print.ts has 3,167 lines, packed with if-then branches + deterministic symbolic logic Anthropicrely on classical symbolic AI at the critical moment to make Agent truly reliable. This move directly validates the Neurosymbolic AI (neural-symbolic hybrid) approach that Marcus has been advocating for over 20 years! Scaling is no longer the only answer; hybrid approach is the future The full long-form article is worth reading carefully 👇 — Gary Marcus (@GaryMarcus) Claude Code is not AGI, but it is the single biggest advance in AI since the LLM. But the thing is, Claude Code is NOT a pure LLM. And it's not pure deep learning. Not even close. And that changes everything. The source code leak proves it. Tucked away at its center is a 3,167 line kernel called print.ts. print.ts is a pattern matching. And pattern matching is supposed to be the *strength* of LLMs. But Anthropic figured out that if you really need to get your patterns right, you can't trust a pure LLM. They are too probabilistic. And too erratic. Instead, the way Anthropic built that kernel is straight out of classical symbolic AI. For example, it is in large part a big IF-THEN conditional, with 486 branch points and 12 levels of nesting — all inside a deterministic, symbolic loop that the real godfathers of AI, people like John McCarthy and Marvin Minsky and Herb Simon, would have instantly recognized. Putting things differently, Anthropic, when push came to shove, went exactly where I long said the field needed to go (and where Geoffrey Hinton said we didn't need to go): to Neurosymbolic AI. That's right, the biggest advance since the LLM was neurosymbolic. AlphaFold, AlphaEvolve, AlphaProof, and AlphaGeometry are all neurosymbolic, too; so is Code Interpreter; when you are calling code, you are asking symbolic AI to do an important part of the work. Claude Code isn't better because of scaling. [Translated from EN to English]→ View original post on X — @garymarcus, 2026-04-11 22:22 UTC
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AI-Powered Projection Mapping for Modern SUV Advertisement
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One more, playing with projection onto an object. Also, I love the music in this one:
— fofr (@fofrAI) 11 avril 2026
> An ad for a modern SUV, the car is driving in a studio while a countryside scene is projected onto it https://t.co/LYSKSITSXg pic.twitter.com/PrcZOhmhOkOne more, playing with projection onto an object. Also, I love the music in this one: > An ad for a modern SUV, the car is driving in a studio while a countryside scene is projected onto it