Fun conversation about what I'm seeing in AI world (by following 8,400 companies and 50,000 of you here) with @Coffee_and_NLP
AI
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Senior leaders in big companies understand and experiment with AI
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One change over the last six months is that in every big company I talk, at least a few senior people absolutely get AI — they experiment (a lot of OpenClaw, surprisingly) & they have an intuitive sense of the exponential curve — next challenge is translating that to the firm.
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DR-Venus: Frontier Edge-Scale Deep Research Agents with 10K Data
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DR-Venus Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data paper: https://
huggingface.co/papers/2604.19
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Jensen’s Nvidia Bias vs Dwarkesh’s Objective Analysis
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The difference is that Dwarkesh genuinely tries to understand the world while Jensen tries to serve Nvidia's interests. ("How do you think you can [physically] double compute over multiple years?" – "All supply problems are always solved in 2-3 years" etc)
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Near-Future Policy Optimization Research Paper
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Near-Future Policy Optimization paper: https://
huggingface.co/papers/2604.20
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OpenClaw: Open Source Self-Hosted AI Agent Management Platform
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– Supports any model
— Robert Scoble (@Scobleizer) 23 avril 2026
– Self-hosted deployment, as low as €4/month
– Per-session sandbox environment
– Credential isolation
– Fully observable subagent (delegation)
It is MIT-licensed and open source. Give it a star on GitHub.
Link: https://t.co/kuQU56K2Yc https://t.co/wrk0Zl0w6F– Supports any model
– Self-hosted deployment, as low as €4/month
– Per-session sandbox environment
– Credential isolation
– Fully observable subagent (delegation) It is MIT-licensed and open source. Give it a star on GitHub. Link:
https://
github.com/stainlu/opencl
aw-managed-agents
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Internal recursive self-improvement ASI development approach revealed
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We keep the open-ended recursive self-improvement version internally, for now. #ASIFirst
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RLVR Effectiveness in Low Data Compute Regimes Study
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Our MLSys 2026 paper is live on arXiv: “Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes.” @realjustinbauer @Walshe_tech @pham_derek @harit_v @ArminPCM @fredsala and @paroma_varma present a comprehensive empirical study of open-source SLMs
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IEEE Magazine Publication Paradox: Article From Future
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It's 2026. I received a copy of IEEE BITS magazine in the mail. It contains my robustness article that was accepted in 2025. The magazine date is September 2024, before I finished writing the article Separately, my toddler was excited to get a "book" in the mail ft. his dad