Our experiment had a few quirks. One of our colleagues told Claude it could purchase something for itself. It chose to acquire 19 ping-pong balls. We're keeping them in our office on Claude's behalf.
RESEARCH
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Opus Models Outperform Haiku in Negotiations, Survey Misses It
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But the quality of the model mattered a lot. In the simulated runs where Opus and Haiku models negotiated with one-another, the Opus models got substantially better deals. Interestingly, though, participants in our survey didn’t pick up on this disparity.
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AI Agents in Markets: Economic Exchange Simulation Study
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We’re interested in how AI models could affect commercial exchange. (You might recall Project Vend, in which Claude ran a small business.)
— Anthropic (@AnthropicAI) 24 avril 2026
Economists have theorized about what markets with AI “agents” on both sides might look like. So we created one.https://t.co/7jU3hFO63RWe’re interested in how AI models could affect commercial exchange. (You might recall Project Vend, in which Claude ran a small business.) Economists have theorized about what markets with AI “agents” on both sides might look like. So we created one.
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Claude Negotiates on Internal Marketplace at Anthropic
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New Anthropic research: Project Deal.
— Anthropic (@AnthropicAI) 24 avril 2026
We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf. pic.twitter.com/H2f6cLDlAWNew Anthropic research: Project Deal. We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues' behalf.
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DeepSeek V4 Launch: 1.6T MoE Model With 1M Context Window
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While everyone watched GPT-5.5 launch, DeepSeek quietly shipped V4 the next morning. V4-Pro: 1.6T total / 49B active, MIT license.
V4-Flash: 284B total / 13B active.
Both with native 1M-token context. At 1M tokens, V4-Pro runs at 27% of V3.2's FLOPs and 10% of the KV cache. -
World Engine: Synthetic Edge Cases for Autonomous Driving Training
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What if you could train a self-driving car on its hardest moments, not just its longest drives? OpenDriveLab, Huawei, NVIDIA & others present World Engine. Instead of just adding more miles of normal data, it generates massive volumes of synthetic edge cases—like cut-ins and
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Can LLMs Truly Emulate Individual Human Online Personas?
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Can LLMs truly think and act like a specific person online? Researchers from Northeastern, USC, Columbia & others present OPeRA, a new dataset that captures real people’s shopping habits—their persona, screen view, action, and internal reasoning. It’s the first public
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Today’s AI Skills Become Tomorrow’s Training Targets
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btw the hot skills of today become the posttrain targets of tomorrow
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AI tackles healthcare’s trillion-dollar administrative burden problem
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There's a system quietly at work before patients receive care: the administrative spending that costs the U.S. $1T annually. A research team led by @StanfordHAI Affiliate @drnigam tests AI on this invisible layer of healthcare. Read more via @StanfordMed
: https://
medicine.stanford.edu/content/sm/med
icine/news/current-news/standard-news/the–1-trillion-problem-ai-still-can-t-yet-solve.html
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