68 summarised stories about Vision-Language Models, each linking back to the original source. Browse all topics →
Sakana AI 42
SAIL is introduced by Sakana AI and the University of Tokyo to improve VLM-based robot trajectory generation using test-time scaling and simulator feedback. Increasing the MCTS search budget from 1 to 45 candidates in simulation raised the average success rate from 25% to 73%. As a result, the approach produces more reliable trajectories by iteratively revising candidates before sending only the selected one to the physical robot.
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TLDRocket
15 October 2026
Anthropic’s IPO filing message landed with unusually crisp numbers: in the three months ended September, the company reported $16.8 billion in revenue, up 45% sequentially, and said it reached adjusted profitability for the first time. Ahead of an expected November listing, that combination—rapid top-line growth plus a path to profits—turns Anthropic into more than a product story. It becomes a benchmark for how investors should price the next wave of frontier model companies, especially as capital markets start to ask for financial discipline, not just impressive demos.
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