Grok's reports are getting better about what it learned by watching the videos I upload:
MACHINE LEARNING
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Agents capturing skills from painful sessions to avoid re-explaining
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Agents capturing what they figured out into a skill after a painful session is the loop I actually want, less re-explaining the same thing every week.
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OpenAI Chief Research Officer discusses scaling laws and AI research while cooking
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In this episode, @OpenAI Chief Research Officer @markchen90 joins @allenpark to flambé shrimp, cook Korean stew, and chat about being at the frontier of AI research: why scaling laws and pre-training still matter, how OpenAI chooses research bets and allocates compute, what it… pic.twitter.com/jl1E8MxQG8
— Latent.Space (@latentspacepod) 25 juin 2026In this episode, @OpenAI Chief Research Officer @markchen90 joins @allenpark to flambé shrimp, cook Korean stew, and chat about being at the frontier of AI research: why scaling laws and pre-training still matter, how OpenAI chooses research bets and allocates compute, what it
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AI has already transformed proteonomics, tip of iceberg
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yeah, LOL, no. there is a lot of “only nature can produce organic molecules” energy here. AI has already changed the world of proteonomics. It’s just the tip of the iceberg. https://t.co/6vPk7bGoEE
— Bojan Tunguz (@tunguz) 25 juin 2026yeah, LOL, no. there is a lot of “only nature can produce organic molecules” energy here. AI has already changed the world of proteonomics. It’s just the tip of the iceberg.
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Federal government uses GPT-5.6 to generate pelican biking SVG
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Federal government with GPT-5.6 now: "Generate an SVG of a pelican riding a bicycle, make it as best possible"
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Frustrating voice assistant refuses to read requested text
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"Please just read the effing text to me."—"I do not respond to harmful language. I can help you to find businesses along the road and monitor traffic conditions."—"I don't need to find businesses on the road."—"Here are some restaurants and shopping venues on the road…"
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AI misinterprets user requests for directions, name change, and essay
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"Please navigate to this SF address but go via 280, not 110"—"Sorry, I cannot interact with the route finding". "Please call Andrew Thomas" — "Ok, I will call you Robert from now on." "Please locate the following public domain essay for me"—"You probably mean this other text"
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Langchain and Fireworks fine-tune Qwen to detect perceived error
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We partnered with @FireworksAI_HQ to fine-tune an @Alibaba_Qwen judge model to detect “Perceived Error” from user interactions. See our findings
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Fine-tuned models match frontier performance with lower cost
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Fine-tuned models match frontier performance In our research with @FireworksAI_HQ
, a fine-tuned @Alibaba_Qwen outperformed all model sizes. They’re also cheaper to run at scale 10-100x depending on trace volume and model choice As trace volumes grow, so will cost-savings on