Async AI at its peak.
— Charly Wargnier (@DataChaz) 27 mars 2026
Literally going to sleep while @Anything builds my app π¦Ύ π₯ https://t.co/nEl9TnwPXk
Async AI at its peak. Literally going to sleep while @Anything builds my app
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Async AI at its peak.
— Charly Wargnier (@DataChaz) 27 mars 2026
Literally going to sleep while @Anything builds my app π¦Ύ π₯ https://t.co/nEl9TnwPXk
Async AI at its peak. Literally going to sleep while @Anything builds my app
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Yeah, FSD handles blind turns way better than any human I have seen.

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The Agent Evaluation Readiness Checklist Starting to think through how to test your agents? We put together a step-by-step checklist for building, running, and shipping agent evals. We walk through:
β How to read traces in LangSmith and analyze errors, before building evals
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I don't think the solution is going to be Visa and Mastercard, which were built for humans at cash registers. They're too expensive for the kind of rapid-fire small-scale transactions we're going to see with agents ($0.3 + 3%). They're also quite slow (T+48h settlement) So you

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I basically agree. Agents are soon going to be buying services/resources online, and the world is going to need agent-native payment infra, like Sam's @agentcashdev We're probably looking at a >10x transaction increase.

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Really excited to have the SlopCodeBench paper out—awesome work from @GOrlanski! Gabe Orlanski (@GOrlanski) We found that agents generate progressively worse code with each iteration. Real developers do not. SlopCodeBench is the only eval that faithfully measures quality degradation on iterative, long-horizon coding tasks. arxiv.org/abs/2603.24755 scbench.ai π§΅ β https://nitter.net/GOrlanski/status/2037560777356238881#m
β View original post on X β @snorkelai, 2026-03-27 16:28 UTC
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At @NVIDIAGTC, @StanfordHAI's James @Landay said we're amid a major shift in human-computer interaction. Current text/voice AI is "just a blip" and he envisions a future of multimodal agents that anticipate user needs through voice, gesture, and context: nvidia.com/en-us/on-demand/s⦠[Translated from EN to English]
β View original post on X β @stanfordhai, 2026-03-27 16:05 UTC

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See how @Kensho built a multi-agent data retrieval system on LangGraph to give S&P Global customers a single entry point into verified financial data β equity research, macro, ESG, and more. The architecture consists of a central router + specialized Data Retrieval Agents, one

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What happens when you teach an AI agent to make beautiful dataviz? New project: I'm building a quality harness for my AI to make better dataviz. One example attached – it researched, made this, and wrote the article autonomously. Follow the project here: randalolson.com/beautiful-chβ¦ [Translated from EN to English]
β View original post on X β @randal_olson, 2026-03-27 15:23 UTC