also stealing stuff and calling it your own is pretty much the opposite of collaboration…
RESEARCH
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AI Evolves Fast, Chips Take Time
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AI moves in weeks. Chips take years. That's the problem. Rodrigo Liang's @TEDTalks explains what it really takes: → 4+ years to build a chip
→ Market shifts weekly
→ One bug = $100M + 1 year
AI's future won't just be model innovation. It's infrastructure. bit.ly/41G3vAO [Translated from EN to English]→ View original post on X — @sambanovaai, 2026-04-01 19:26 UTC
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Snorkel AI attending AIE Europe conference in London next week
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We'll been in London next week for AIE. Come say hi (DMs open)!! 🇬🇧 swyx (@swyx) so AIE Europe is completely taking over 🇬🇧London next week! very very hyped to showcase the best companies, research, and AI engineers in Europe! 3 COMPLETELY FREE ways to join in: – there are a dozen side events around town! from Snorkel to GitHub to Arize to ClawCon and Claude Code meetups! – subscribe on YouTube! everything will be livestreamed and published for free piped.video/@aidotengineer – we are releasing 20 more volunteer slots here ai.engineer/associates meant for local, early career folks who otherwise could not afford a ticket! join in/see you in london town! — https://nitter.net/swyx/status/2039398936423850017#m
→ View original post on X — @snorkelai, 2026-04-01 19:25 UTC
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Large-Scale Physical AI Training Center for Next-Generation Robotics
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Inside a Large-Scale Physical #AI Training Center Powering Next-Gen #Robotics
— Ronald van Loon (@Ronald_vanLoon) 1 avril 2026
via @ZappyZappy7
#Robots #MachineLearning #ArtificialIntelligence #Innovation #Technology #ML pic.twitter.com/YWSNm2MhUUInside a Large-Scale Physical #AI Training Center Powering Next-Gen #Robotics
via @ZappyZappy7 #Robots #MachineLearning #ArtificialIntelligence #Innovation #Technology #ML -
Hassabis Secret Project: High-Frequency Trading Algorithms at DeepMind
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Demis Hassabis assembled a secret team of ~20 researchers inside DeepMind to train high-frequency trading algorithms, reportedly aiming to rival Renaissance Technologies. Google disapproved, and the project was quietly disbanded.
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NVIDIA Achieves Highest Token Output in MLPerf Inference v6.0
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Delivered performance, not peak chip specifications, drives AI factory productivity.
— NVIDIA (@nvidia) 1 avril 2026
Rigorous benchmarks are the only way to see past the noise. In MLPerf Inference v6.0, NVIDIA extreme co-design delivered the highest token output across the broadest range of models and… pic.twitter.com/sjLf9dnsEuDelivered performance, not peak chip specifications, drives AI factory productivity. Rigorous benchmarks are the only way to see past the noise. In MLPerf Inference v6.0, NVIDIA extreme co-design delivered the highest token output across the broadest range of models and scenarios. Maximizing token output drives down token cost and maximizes AI factory productivity. Read the blog post to dive into the details: nvda.ws/41aqALX @Baseten, @CoreWeave, @mlcommons
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Stanford Annual Causal Science Conference Focuses on AI Evaluation
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Stanford HAI and Stanford Data Science are bringing together experts working in evaluation, experimentation, and causal inference for the Annual Causal Science Conference on April 24. This year’s event focuses on AI evaluation. Register here: datascience.stanford.edu/eve…
→ View original post on X — @stanfordhai, 2026-04-01 19:03 UTC
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Economic Value Benchmarks in AI and Machine Learning
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What do “economic value” benchmarks tell us? buff.ly/8ALytqF #AI #MachineLearning #DeepLearning #LLMs #DataScience
→ View original post on X — @miketamir, 2026-04-01 18:51 UTC
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OpenAI’s ‘Stagecraft’ Project Hires Freelancers Across Professions for ChatGPT Training
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A 439-row spreadsheet, obtained by Business Insider, lists the occupations OpenAI has hired freelancers to build ChatGPT training materials for. The project is internally called 'Stagecraft'. It's a wide range. Commercial pilots. Emergency physicians. Geoscientists. Soil
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Codex Focus: OpenAI COO Brad Lightcap Interview on Uncapped
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Something's different about Codex.@bradlightcap calls the team's focus "a singular and unique effort in the history of the company" https://t.co/juKdudIrE9 pic.twitter.com/q3Sp6r5kMf
— OpenAI Newsroom (@OpenAINewsroom) 1 avril 2026Something's different about Codex. @bradlightcap calls the team's focus "a singular and unique effort in the history of the company" Jack Altman (@jaltma) This week's guest on Uncapped is @bradlightcap, COO at OpenAI. We talked about the history of OpenAI, the shift in AI from chat to agents, where new startups can endure, Codex, FDEs, working with Sam, and more. Hope you enjoy! (0:00) Intro (0:39) The early days of OpenAI (3:47) A research centric culture (7:32) Post-ChatGPT chapters (11:54) Sci-Fi future or good software (15:26) AI’s impact on rural communities (18:57) Codex and coding of the future (24:04) Doing a lot of things at once (27:55) What VCs should invest in (35:43) The software sell off (38:23) Using Codex over ChatGPT (42:32) FDEs and Private Equity (44:53) Working with Sam — https://nitter.net/jaltma/status/2039371109855113459#m
→ View original post on X — @romainhuet, 2026-04-01 18:23 UTC