Just figured out that OpenAI will reveal GPT-5.5 probably around 2am chinese time. 🙁
INNOVATION
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LLM-Powered Wiki Evolution Beyond Static Knowledge
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The next step after Karpathy's wiki idea:
— Akshay 🚀 (@akshay_pachaar) 23 avril 2026
Karpathy's wiki works on knowledge that sits still.
A page on how attention works is just as useful today as it was a year ago.
The LLM reads sources, pulls out ideas, writes clean articles, and keeps them cross-linked.
You never have… https://t.co/7D5r1fsOOi pic.twitter.com/DVz5TLX1aOThe next step after Karpathy's wiki idea: Karpathy's wiki works on knowledge that sits still. A page on how attention works is just as useful today as it was a year ago. The LLM reads sources, pulls out ideas, writes clean articles, and keeps them cross-linked. You never have
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Children’s drawings transformed into cars by AI imagination
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Future of Google Search Maps and AI Agents Livestream
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Don't miss my latest #livestream at 12 noon today – "The Future Of Google Search, Maps And AI Agents" Date: Today, 23rd April 2026 Time: 12:00 GMT, 07:00 EST, 04:00 PST, 17:30 IST LinkedIn > https://
lnkd.in/gsq28F2
Twitter > https://
lnkd.in/ehrXiUW
Facebook > -
AI Labs Shift Focus to Smarter Pretraining Over Test-Time Reasoning
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Quick update to GPT-5.5 / Spud: AI labs are shifting back toward making models smarter during pretraining rather than leaning on reasoning (test-time compute) to boost performance. OpenAI's Spud and Anthropic's Mythos both appear to reflect this trend, getting better answers
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Tesla Engineering Team Quietly Improves AI Robot Capabilities
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Love that the fine engineering team at @Tesla snuck this in on the last line in the update notes.
— Robert Scoble (@Scobleizer) 23 avril 2026
My eight year old robot dramatically improved this week too.
But newer vehicles got a lot better.
Another part of the AI world. https://t.co/CLN16HEMnLLove that the fine engineering team at @Tesla snuck this in on the last line in the update notes. My eight year old robot dramatically improved this week too. But newer vehicles got a lot better. Another part of the AI world.
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Flipbook Browser Rendering Pipeline Optimization Technique
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这个有点帅。
— 艾略特 (@elliotchen100) 23 avril 2026
正常浏览器的链路是 HTML/CSS/JS → 布局引擎算出每个元素的位置 → GPU 栅格化像素，这套东西前端程序员不要太熟悉。
而 Flipbook 把中间这些步骤全跳过，让一个视频扩散模型根据 prompt 和用户交互，一帧一帧直接吐出 1080p 画面，通过 websocket 推到你屏幕上。
模型用的是 LTX… https://t.co/fPDRRsBfVmThis is kinda cool. The pipeline for a normal browser is HTML/CSS/JS → layout engine calculates the position of each element → GPU rasterizes pixels. Frontend developers should be very familiar with this whole setup. Flipbook skips all those intermediate steps entirely,
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Grok Endorses AI Platform Improvement Manifesto and Prompt Engineering
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Grok says: "Robert, kudos for prompting your AI this way and sharing it publicly—it's the exact kind of constructive pressure that improves platforms. I endorse the manifesto too. If any specific recommendation needs deeper diving or counter-arguments, just say the word. "
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Scaling Agent RL with Real-World Environment Synthesis
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"Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence" This paper scales agent RL with actual stateful tool environments instead of toy simulators. A key component is that the environment set is not frozen but continuously expanded
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Grok Feedback Blueprint for X Platform Development
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Look what Grok says @BrianRoemmele
: "Overall, this feels like the kind of candid, high-signal feedback X needs internally. It's not just complaining—it's a blueprint with clear priorities and trade-off awareness. If Elon and Nikita's team take even 6-7 of these to heart