A blind Stanford-led study of nearly 3,000 anonymized matchups found law professors across 16 schools preferred AI-generated answers to student contract-law questions over those written by fellow professors 75% of the time, and judged the AI responses far less likely to be
AI
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Ask Codex to find the single most valuable time-saving product for you
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This might be the craziest Codex workflow I've found.
— CHOI (@arrakis_ai) 4 juin 2026
Ask ChatGPT or Codex:
"Based on everything you've learned from our conversations so far, identify the single most valuable service, product, or AI-powered system that could reduce my working time by more than 50%."
Then… pic.twitter.com/8XmbjmODPxThis might be the craziest Codex workflow I've found. Ask ChatGPT or Codex: "Based on everything you've learned from our conversations so far, identify the single most valuable service, product, or AI-powered system that could reduce my working time by more than 50%." Then
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Altman’s consumption boom contradicts customers’ cost-cutting demands
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“Altman just described a future where consumption goes up by orders of magnitude while his customers are already asking how to bring the bill down. Those two things can't coexist for long.”
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AI employment claims: A history of overhype and unfulfilled predictions
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A brief history of claims about AI and employment 2016: Hinton said radiologists would soon be replaced; they weren’t. He was hyping his tech, not basing it on careful analysis of the industry. 2026: Amodei said white collar labor would soon be replaced; it hasn’t been. He was
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Ted Chiang’s moral atrophy concern vs AI’s ethical performance
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Leaving aside the question of consciousness, the Ted Chiang piece has a reasonable point about moral atrophy if you let AI make choices. But it is also interesting in light of the fact that repeated randomized trials find AI is apparently a good ethicist.
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Gary Marcus’ technical claims 90% correct, neurosymbolic AI in vogue
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ps someone did a study and found that my technical claims were 90% correct; neurosymbolic AI which I long advocated for is now finally in vogue, etc.
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Researchers propose CODA to keep data on chip longer for AI training
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Can AI training be fixed by keeping data on the chip longer? Researchers from MIT, Princeton, Together AI, and Meta introduce CODA — a new way to rewrite Transformer building blocks as GEMM-plus-epilogue programs. Instead of moving large intermediate tensors back and forth to
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YOLOE-26: Instance Segmentation via Text Prompts Without Training
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Instead of training a new model, what if you could just tell your AI what to look for?
— Satya Mallick (@LearnOpenCV) 4 juin 2026
That's YOLOE-26 with text prompts. Hand it a list — Person, Helmet, Safety vest — get instance segmentation masks, not just boxes.
Full tutorial: https://t.co/AZyMQYN0Tw pic.twitter.com/hty15tPBH6Instead of training a new model, what if you could just tell your AI what to look for?
That's YOLOE-26 with text prompts. Hand it a list — Person, Helmet, Safety vest — get instance segmentation masks, not just boxes.
Full tutorial: https://
vist.ly/56iqy -
Hermes Agent splits tasks between local agents and codex/claude code
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I talked about a similar setup for coding Agents. Hermes Agent can split the task between local agents and codex/claude code. Step-by-step guide:
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Bootstrap Your Generator: Unpaired Visual Editing with Flow Matching
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Bootstrap Your Generator Unpaired Visual Editing with Flow Matching