Introducing Kimi K3: Open Frontier Intelligence
🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost
🔹 Built for long-horizon agentic coding and self-evolving workflows
Kimi K3 is now live on on https://t.co/zrk6zZxZUo, Kimi Work, Kimi Code, and the Kimi API.
Open Weights by July 27, 2026.
🔗 API: https://t.co/XCrgjXAqMw
🔗 Tech blog: https://t.co/YTfiMSNM1f
Instead of watching another Netflix series tonight, watch this 16-minute talk from a Jane Street AI engineer explaining how the hedge fund uses LLMs to make $30B+ every year.
It’s the clearest, most practical look I’ve seen at how a top quant firm actually builds custom LLMs and agentic tools for developers, especially when public models fall short on something like OCaml.
Whether you’ve never built AI tooling before or you’re already shipping agents, you’ll walk away with concrete ideas on making LLMs reliable in production.
Bookmark it & watch the talk today - it might be the most valuable thing you learn about real-world AI engineering all month.
Stock Market Sell Signal has been triggered, warns Bank of America, after Fund Manager Cash Level falls to 3.6%, one of the lowest levels this century 🚨 🚨
$ASML says it is already close to securing all the EUV orders needed for 2027 as memory lithography revenue surges 75% this year.
The company is expanding Low-NA EUV capacity by 30% in 2027 to ~85 systems and is evaluating another 30% increase for 2028.
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