Thinking Machines releases ReViSQL achieving human-level text-to-SQL accuracy
Using RLVR on cleaned datasets and tailored reward shaping, the single-model approach outperforms frontier commercial systems at a fraction of the cost.
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Artificial intelligence research and product company
thinkingmachines.aiLast updated
In short: Thinking Machines raised $2 billion, launched the Inkling open-weight model, and secured multi-billion-dollar infrastructure deals.
Using RLVR on cleaned datasets and tailored reward shaping, the single-model approach outperforms frontier commercial systems at a fraction of the cost.
The approach involves robust safety testing, ecosystem readiness investments, and staged releases to mitigate misuse risks while promoting openness.
The model achieves comparable performance to Inkling at a quarter of the size, with 276B total and 12B active parameters
Inkling is a 975B MoE transformer with 41B active parameters, supporting 1M token context and multimodal inputs.
The startup's prior fundraise—a $2 billion round that stands among the largest seed financings in history—valued the company at $12 billion. Andreessen Horowitz led the...
Thinking Machines Lab is discussing a funding round at a valuation of at least $40 billion...
Thinking Machines Lab co-founder Barret Zoph is joining Google DeepMind as VP of research, weeks after Demis Hassabis stepped aside as chief executive.
Metz is Meta's latest notable AI hire as the company carries out its three-year plan to spend over...
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