And right before that, when @ilyasut explained the cost of all the compute: “You look at this number of dollars and you say ‘gosh that’s a lot of dollars.’”
LLMS
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Anthropic introduces Agent View in Claude Code CLI
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Anthropic released Agent View in Claude Code CLI, from where users can observe and interact with parallel-running agents.
— 🚨 AI News | TestingCatalog (@testingcatalog) 12 mai 2026
It looks like preparation for a future in which agents will pursue broader long-term goals. Claude's mobile app is being prepared for that as well. pic.twitter.com/x5YWfHxatJAnthropic released Agent View in Claude Code CLI, from where users can observe and interact with parallel-running agents. It looks like preparation for a future in which agents will pursue broader long-term goals. Claude's mobile app is being prepared for that as well.
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Human-AI Bandwidth Bottleneck in Modern ML Accelerators
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In modern ML accelerators, FLOPS have absolutely exploded. Often though, the bottleneck is not FLOPS but memory bandwidth. Similarly, model intelligence has exploded, causing the bottleneck to be humanAI bandwidth. At Thinky, we think that it’s important to solve this. 1/4 x.com/thinkymachines…
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Ilya Sutskever on the exponential growth of AI capabilities since 2018
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The setup to this quote was also chuckle-worthy when @ilyasut was asked to describe the difference between AI in 2018 vs 2026: “If you compare 2018 to now, yeah it’s like the difference between an ant and a cat, so yeah it’s a big difference.”
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AI Council Conference Participation and Financial Agent Workshop Announcement
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We’ll be at @AICouncilConf in San Francisco this week (May 12–14). Come say hi if you’re attending Join us tomorrow from 10:15–11 AM for a workshop with Charles Dickens: Towards Reliable Financial Agents: How a 4B Model Outsmarted a 235B Giant. See you there:
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Critique of AI demos focusing on fun not valuable cases
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Haven’t tried this but it seems very neat…
— Ethan Mollick (@emollick) 11 mai 2026
Yet all of the demos (except maybe one) are the model being fun and/or annoying by correcting or reminding in real time. There are obvious uses for this sort of model in meetings, education, training, etc. Why not demo valuable cases? https://t.co/COgZPUxVTmHaven’t tried this but it seems very neat… Yet all of the demos (except maybe one) are the model being fun and/or annoying by correcting or reminding in real time. There are obvious uses for this sort of model in meetings, education, training, etc. Why not demo valuable cases?
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Scaling from Single to Multi-Agent Workflows
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The best way to level up from 1 agent => many agents. No more cycling between terminal tabs https://t.co/PjQpKdi1aO
— Boris Cherny (@bcherny) 11 mai 2026The best way to level up from 1 agent => many agents. No more cycling between terminal tabs
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Tencent Releases First Mamba-Powered Ultra Large Model
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Tencent’s First Mamba Powered Ultra Large Model! from China! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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Recursion as the Next Scaling Law in AI
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Recursion Is The Next Scaling Law In AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Baidu Unveils New Large Language Model
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Baidu Unveils New Large Language Model! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode