A critical question in agent design is “how do we build agentic workflows so humans are given significant, interesting, or variance-producing decisions as they come up in the work?” A Claude-run company has no source of competitive advantage compared to other Claude-run firms.
BUSINESS
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Anthropic and SpaceX Agreement Highlights Mutual Needs and Competition
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Very interesting agreement between Anthropic and SpaceX because it says a lot about the mutual needs of both companies, which in another situation would be competitors (let's remember that the AI part of xAI now falls under SpaceX) On one hand, I imagine that SpaceX will
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Simpler, Cheaper Setup with No Large Traffic Bills
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feature 2: outcomes give eval criteria, spin up grader agent fka llm judge, and it also adds dashboard ui!
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Mercedes-Benz Rethinks Data for Electric and Connected Vehicles
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@MercedesBenz is rethinking how data powers the shift to electric and connected vehicles. By moving from siloed systems to a cross-cloud data sharing model, they cut egress costs by 66%, improved data freshness, and made critical after-sales insights more accessible across -
Encouragement for Y Combinator Applicants and Startup Resilience
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I didn't realize that writing has anything to do with driving.
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Anthropic Valuation Soars, Surpassing OpenAI’s Latest Valuation
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If this onchain pre-IPO proxy is accurate, Anthropic would now be valued 40% above OpenAI’s last official $852 B post-money valuation, uo 900% in the last 6 months! But still below the ~$1.75T valuation reportedly targeted for SpaceX’s IPO.
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Kong to Showcase Cloud API Platform at Interrupt Event
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Bravo à lui.
— Olivier Rimmel 🕊️ (@OlivierRimmel) 6 mai 2026
Les Français peuvent produire des LONGS METRAGES dans leur chambre, avec une qualité cinématographique, ils ont besoin de quelques ordinateurs, de grands moniteurs, de quelques milliers d'euros pour se payer des tokens et de comptes auprès des meilleurs outils de… https://t.co/OjmzcYrBmxBravo to him. The French can produce FEATURE FILMS in their bedroom, with cinematic quality; they need a few computers, large monitors, a few thousand euros to pay for tokens and accounts with the best online video production tools, like KLING for example, and others.
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Why HR AI projects fail: missing company context
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Most HR AI projects don’t fail because the tech is weak.
— Ronald van Loon (@Ronald_vanLoon) 6 mai 2026
They fail because the AI has no idea how your company actually works.
That is the missing link.
I spoke with Anna Fedosova, co-founder of Corbey, about why this keeps happening.
Here’s the breakdown… pic.twitter.com/FQ6TrYWgEeMost HR AI projects don’t fail because the tech is weak. They fail because the AI has no idea how your company actually works. That is the missing link. I spoke with Anna Fedosova, co-founder of Corbey, about why this keeps happening. Here’s the breakdown…
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The real challenge of AI projects: expectations
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It took me 4 years of building AI systems for clients to learn one thing. The biggest problem is never technical. It's expectations. Here's what happens on a project. Someone on the client's team opens Cursor or Claude Code. Spends an afternoon. Builds a working prototype.
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Ethical concerns over monetizing others’ creative work
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Awesome, thanks Can you add model aliases like this: model-latest
model-latest-reasoning
model-latest-non-reasoning That'd help me a lot!!