i have said not this decade, maybe next decade, and i will stick with that.
RESEARCH
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GPT-2 Safety Debate: 2019 Warnings Revisited Today
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There's a few people out there who have seen the current day narrative repeated over and over again… I present to you an article from 2019 that describes why GPT-2 is too dangerous to release to the public.
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NVIDIA Advances AI Robotics for Agriculture and Solar Energy
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NVIDIA spotlights major advances pushing AI into real-world robotics, from simulation-first training to scalable deployment in agriculture, energy, and households.
— Chubby♨️ (@kimmonismus) 8 avril 2026
Breakthroughs like foundation models, synthetic environments, and edge AI (e.g., Jetson and Isaac platforms) are… pic.twitter.com/6F7SJaV6HKNVIDIA spotlights major advances pushing AI into real-world robotics, from simulation-first training to scalable deployment in agriculture, energy, and households. Breakthroughs like foundation models, synthetic environments, and edge AI (e.g., Jetson and Isaac platforms) are helping robots learn faster, adapt better, and perform complex tasks autonomously. I love those two examples 🙂 Building solar autonomously and increasing producoty in agriculture are so much beneficial for society.
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Meta’s AI Benchmarks Show Promise with Distribution Advantage
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Again: Metas biggest moat is distribution. They don’t need to have the very best. It just needs to be good enough for tough questions for 1b people worldwide. And the evals look very promising. This could be a big win for meta. https://t.co/FvSkQ4KEli
— Chubby♨️ (@kimmonismus) 8 avril 2026Again: Metas biggest moat is distribution. They don’t need to have the very best. It just needs to be good enough for tough questions for 1b people worldwide. And the evals look very promising. This could be a big win for meta. Chubby♨️ (@kimmonismus) Lol what?! Meta has been cooking! These benchmarks are really freaking good holy!! — https://nitter.net/kimmonismus/status/2041918006779957407#m
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23andMe Research Advances in Genetic AI Explainer
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Good explainer @Nature by @marilenharo https://
nature.com/articles/d4158
6-026-01107-5
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aiDotEngineer Europe Conference: Agents and Benchmarking Sessions
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We’re live at @aiDotEngineer Europe in London. Great to see so many of you at our happy hour last night. Find us at Booth G9 and catch the team onstage: @vincentsunnchen The Art & Science of Benchmarking Agents
Thursday, April 9, 12:40–1 PM (Moore) @KobieWon Task Fidelity -
Cognitive Engines Hard-Coded Pipelines Over Symbolic Reasoning
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he literallt argued that symbols were like phlogiston (once) and that using them was like using gas engines when we should just electric. the cognitive engines as you call are now hard coded with pipelines to use tools and massive examples for how. not gonna continue the
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Hermes Ecosystem Map: Comprehensive Guide to All Projects
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Introducing the Hermes Ecosystem Map I was an early user of Hermes Agent from @NousResearch and have been a power user ever since But as the ecosystem has grown, its been hard to keep up, so I did some research: > Scraped every GitHub repo related to Hermes > Filtered out repos that looked unfinished or had 0 stars > Built an ecosystem map of everything created and organized it all by category > Published a website where you can see all the projects with star ratings, and if you hover over you get a short description and link to the repo Then I had Claude run a security check on every repo to exclude anything that looked sus Link is in the replies, and also open sourced the repo so feel free to submit PRs if you see anything missing Oh, and the repo has a /research folder that includes a scrape of everything I could find that's been published on Hermes – you can clone that and add it to your personal knowledge base / wiki
→ View original post on X — @scobleizer, 2026-04-08 17:54 UTC
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Local AI Models vs Top-Tier Performance Limitations
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Both can be true: I want really powerful local models, I'm also BOMBARDED with emails/messages of people complaining how even the top tier models are not good enough, make mistakes or don't follow instructions well enough.
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Bloom LLM Health Coaching Wins Best Paper Award at CHI 2026
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Congratulations to @mjoerke, @landay, @EmmaBrunskill, and the rest of the team on receiving a Best Paper Award at #CHI2026! We're proud to support innovative research that bridges cutting-edge AI with human-centered design. 🎉 @acm_chi https://t.co/72V8UedShb
— Stanford HAI (@StanfordHAI) 8 avril 2026Congratulations to @mjoerke, @landay, @EmmaBrunskill, and the rest of the team on receiving a Best Paper Award at #CHI2026! We're proud to support innovative research that bridges cutting-edge AI with human-centered design. 🎉 @acm_chi Matthew Jörke (@mjoerke) I’m excited to share that Bloom, where we ran a four week study on LLM health coaching, just won a Best Paper Award at CHI! 🏆 Paper: arxiv.org/abs/2510.05449 Website: stanfordhci.github.io/Bloom Interest form: forms.gle/JzEHgpLarJ6qc73v9 Come see my talk! programs.sigchi.org/chi/2026… [1/11] — https://nitter.net/mjoerke/status/2041757138842714548#m