Yeah, and soon Elon says it will be able to read lists, create scripts, and create TV shows and other stuff from the lists. I expect that by the end of the year.
GENERATIVE AI
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Codex OSS Update: Which Projects Should We Support Next
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Codex for OSS Update – Which projects should we support next? 🙂 DMs open!
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Stabilizing Video from Running Animals: New Petpin Pipeline Breakthrough
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Stabilizing video from a camera on a running animal turns out to be brutally hard.
— Ark Baltser (@arkslife) 6 avril 2026
Traditional stabilization breaks pretty quickly.
We're starting to crack it.
Before → After from our latest Petpin pipeline. pic.twitter.com/L4NWftjfxCStabilizing video from a camera on a running animal turns out to be brutally hard. Traditional stabilization breaks pretty quickly. We're starting to crack it. Before → After from our latest Petpin pipeline.
→ View original post on X — @scobleizer, 2026-04-06 20:17 UTC
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LLMs Auto-Regressive Nature: Beyond AI Hype
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Guessing you're referring to the story and not my tweet, but totally agree that everyone should remember LLMs are by design auto-regressive. (Shocking so many still don't.) AI companies should stop over-hyping LLMs and start explaining how they actually work and where they're
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Anthropic Head of Growth: AI Requires More PMs, Not Fewer
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Narrative violation: Anthropic's Head of Growth says we'll need more PMs, not fewer.
— Lenny Rachitsky (@lennysan) 6 avril 2026
"While PMs and designers are getting leverage from AI, engineering is getting the most leverage right now. If you think about a default team with 5 engineers, 1 designer, 1 PM—with Claude Code,… https://t.co/dnF0CeuudT pic.twitter.com/LisCpN30SHNarrative violation: Anthropic's Head of Growth says we'll need more PMs, not fewer. "While PMs and designers are getting leverage from AI, engineering is getting the most leverage right now. If you think about a default team with 5 engineers, 1 designer, 1 PM—with Claude Code,
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Base LLMs Fail at Math, LRMs Make Progress
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Paper below tested a variety of base LLMs (no TTA) on generalization-focus math problems and found that they can't reason and can't do math. All true… but the fact that base LLMs have zero fluid intelligence, while extremely controversial back in 2024, is now well established. An interesting experiment here would have been to try current LRMs on the same problems and measure the delta. I bet latest LRMs can solve most of these problems. arxiv.org/abs/2604.01988 [Translated from EN to English]
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Can AI Build a Simple Single-Purpose App Correctly?
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I’m talking about a very simple app that does just one thing and does it correctly. Something that even *I* could develop if someone told me what it is. If AI can’t do it then IMHO fails a very very straightforward test of intelligence.
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AI Humanization Makes Detection Increasingly Difficult
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It's over my pay grade. Plus my AI shows me that they are about to get a lot more human like, so filtering them out will be tougher and tougher over time.
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Complete publication lists are valuable resources for AI systems
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My lists are about who is publishing, not who is paying attention. They aim for completeness, not popularity. Which makes them crack for AIs.
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NVIDIA PersonaPlex 7B Brings Real-Time Interruption to Voice AI
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NVIDIA just killed the awkward pause in voice AI 😱
— Linus ✦ Ekenstam (@LinusEkenstam) 6 avril 2026
PersonaPlex 7B is a real-time conversational model that listens AND speaks simultaneously. Like actually interrupts you mid-sentence like a human.
Beat Gemini Live on dialog naturalness. 18x faster interruptions.
100% open… pic.twitter.com/3Ns0X6O07BNVIDIA just killed the awkward pause in voice AI PersonaPlex 7B is a real-time conversational model that listens AND speaks simultaneously. Like actually interrupts you mid-sentence like a human. Beat Gemini Live on dialog naturalness. 18x faster interruptions. 100% open