Daniel Kim

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Daniel Kim

Daniel Kim

@learnwdaniel

Developers! Developers! Developers! | Head of Growth @cerebras

San Francisco Katılım Mart 2015
1.6K Takip Edilen6.9K Takipçiler
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Daniel Kim
Daniel Kim@learnwdaniel·
getting on stage and yelling Developers! Developers! Developers! Developers! life goal achieved ✅
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Amazon Web Services
Amazon Web Services@awscloud·
We're teaming up with @cerebras to build the fastest possible inference. Coming soon to Amazon Bedrock, we’re delivering inference performance an order of magnitude faster than what’s available today by connecting AWS Trainium3 for compute-intensive prefill with Cerebras CS-3 to power decode. Learn more about the partnership. go.aws/3Pzcota
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Juan Pa
Juan Pa@JuanPa·
new job just dropped. after a fun run at @clinebot, i'm joining @CodeRabbitAI to work on Developer Experience with an incredible team. so next time CodeRabbit roasts your PR and you have no idea why, you'll have someone to blame. let's go. 🐇
GIF
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geoff
geoff@GeoffreyHuntley·
the new tungsten cube
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Matt Herzog
Matt Herzog@protozog·
Bring your voice agents to life
LiveKit@livekit

Introducing Agents UI, an open-source @shadcn component library for building polished React frontends for your voice agents. Audio visualizers. Media controls. Session management tools. Chat transcripts. All wired to LiveKit Agents. Install via the shadcn CLI and own the code.

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Ray Fernando
Ray Fernando@RayFernando1337·
Who wants in to Cafe Compute by Cerebras? It is going to be a huge week at GTC and would be fun for you to join me! luma.com/cccerebrasgtc2…
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Daniel Kim
Daniel Kim@learnwdaniel·
@philipkiely codex probably could one shot it lol /s jkjk congratulations can i get a paper copy?
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Daniel Kim
Daniel Kim@learnwdaniel·
ai can comb through all of your k8s logs to find the issue + push a fix agi is here?
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James Wang
James Wang@draecomino·
Will you escape the underclass
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David Hill
David Hill@iamdavidhill·
i'm in SF sunday-tuesday, who's around to get coffee and talk shop?
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Parth Sharma
Parth Sharma@parthshr370·
Update on my Go-agent-sdk (v.0.3.0) !!! It now supports multiple LLM providers out of the box One interface, swap one line, your agent works with OpenAI, Anthropic, Gemini, or any OpenAI-compatible endpoint (Groq, DeepSeek, Cerebras, Mistral, and more) What's new: - ChatProvider interface - every provider implements CreateChat + ModelName, agent doesn't care which one you pick - Native Anthropic provider - full translation layer for Claude's Messages API including tool calling - Native Gemini provider - full translation layer for Google's generateContent API including the tool call detection quirk (Gemini returns STOP even for tool calls) - 12 OpenAI-compatible base URLs built in - Groq, Cerebras, DeepSeek, Together, Fireworks, Mistral, Moonshot, DashScope (Qwen), ZAI (GLM), Anyscale - Still zero dependencies. Pure standard library Go. Each provider is a self-contained translator. Adding a new one means writing one file. Nothing else changes. Remains fast concurrent and clean Providers available now - @GeminiApp , @AnthropicAI , @OpenAI , @Kimi_Moonshot ,@deepseek_ai , @Alibaba_Qwen ,@cerebras , @Zai_org and so much more ! You can take a look at the repo here - github.com/parthshr370/Go… Demo below showing how easy it is to swap the Providers ! x.com/parthshr370/st…
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Sarah Chieng
Sarah Chieng@MilksandMatcha·
in pursuit of taste @allenpark @zhennydez and I are starting an intimate, fine-dining, series in sf let us know if you'd like to join the next one
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Jared Lambert
Jared Lambert@jared__lambert·
I just tried GLM 4.7 on @cerebras... That was the fastest I've ever spent $10. The chick fil a drive thru has nothing on this api $/min.
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Matthew Berman
Matthew Berman@MatthewBerman·
I'm addicted to tokens. I have AI so deeply integrated into personal life and business that if it was suddenly taken away, I would feel severe withdrawal. And it's not just any tokens. I want the best. Only the latest frontier, fastest, xhigh, tokens will do. Wild times.
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Daniel Kim
Daniel Kim@learnwdaniel·
@dhh @bdougieYO @opencode Pay per token for most inference infra providers is subsidized by large enterprise contracts
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DHH
DHH@dhh·
@bdougieYO @opencode There's no subsidization. The open weight models are proving that. Fireworks is not giving you anything for free when they're selling a million tokens for $3 (Kimi) or $1.20 (MiniMax). Anthropic is pricing based on R&D cost, not inferrence expenses.
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DHH
DHH@dhh·
Kimi K2.5 on @opencode Zen is hilariously cheap. I bought $20 worth of tokens two weeks ago, and I still have $10.89 left! After 3M tokens! If there's a bubble in AI, it's pricing a million tokens at $25 (and beyond).
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