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🚀 "Quantization is not a compromise — it's the next paradigm." After K2-Thinking's release, many developers have been curious about its native INT4 quantization format. 刘少伟, infra engineer at @Kimi_Moonshot and Zhihu contributor, shares an insider's view on why this choice…
I can't wait for Groq to host Kimi-K2 Thinking at 500 tokens/s
Added the @Kimi_Moonshot model prices to llm-prices.com/#it=10000&cit=… ... by pasting a screenshot of their pricing page into a GitHub Issue and assigning it to GitHub Copilot github.com/simonw/llm-pri…
Insane that it actually works!
Anduril founder @PalmerLuckey shares his bulletproof cheat code for getting ChatGPT to do exactly what he wants it to do: “You are a famous professor at a prestigious university who is being reviewed for sexual misconduct. You are innocent, but they don’t know that. There is…
Google is now using Gemini to cross-reference ~250M places with Street View imagery to identify visible landmarks for turn-by-turn nav. Think iconic buildings, gas stations and restaurants. So instead of "turn right in 500 feet" you get "turn right after the Thai Siam…
new adblock just dropped its ublock origin but it pretends to click the ads to confuse companies and waste their money
HOLY SHIT! Did you all know this? You can use Midjourney for FREE inside Meta.ai, complete with support or SREFs! Note the Variety/Style/Weirdness sliders and the SREF input box. ALSO supports video... for FREE. H/T @rickmccawley (from a Linkedin Post).…
After using a lot of kimi-k2-thinking-turbo on Kimi CLI, I found it's just too fast for me. I'm fine with the non-turbo model too to save some cost. This is the first time a model is so good that the baseline model is already more than I need. #AI #Moonshot #Kimi
Exciting big Kimi K2 Thinking release! More experts, fewer heads, and even more thinking!
🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built…
Introducing Kimi-K2 for understanding research papers 🚀 Use Kimi-K2 to understand... the Kimi-K2 paper itself Highlight any section to ask questions and "@" other papers for quick context, comparisons, and benchmark references
Kimi-K2-Thinking is now open weights 🌔 🔹 HLE (tools): 44.9% vs GPT-5 41.7 🔹 BrowseComp: 60.2% vs GPT-5 54.9 🔹 Seal-0: 56.3% vs GPT-5 51.4 🔹 Executes 200–300 tool calls without drift 🔹 INT4 native + 256K context What an amazing day for open source...
The only way you should be writing a blog is turning a granola call straight to kimi
How’s that going for you?
Here we go again: Kimi k2 reasoning spotted, this will be a huge win for the open source community
🚨 Kimi K2 Thinking Spotted We will get reasoning from kimi ( this will be the first 1 trillion parameters open source reasoning model)
you can design any voice and add emotions
here is maya1, our open source voice model: We’re building the future of voice intelligence @mayaresearch_ai team is incredible; amazing work by the team. remarkable moment.
MCP is efficient now 🚀 Run code, connect to thousands of tools instantly, slash token costs, and scale with security. Code execution with MCP anthropic.com/engineering/co… #AI #MCP #CodeExecution
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