Agents! Agents! Agents! | Head of Growth @cerebras
San Francisco
Joined March 2015
- Tweets4K
- Following1.8K
- Followers7.5K
- Likes11.8K
You haven’t seen anything yet
The unfolding of the $CBRS drama this week was quite hilarious to watch. Accounts who don’t actually spend time looking at Cerebras jumped out of nowhere to provide their opinions with the complete lack of any nuance. It’s just so predictable.
One minute it’s “I told you Cerebras was going to die”. Soon it’s “I always believed in Cerebras”.
Daniel Kim retweeted
I tested out Qwen3.8-27B on @cerebras by having it autonomously order Llama merch from Amazon and ship straight to our HQ.
It spent roughly $80 on my card in less than 30 seconds without any human intervention
Daniel Kim retweeted
The Cerebras Wafer-Scale architecture compounds across generations.
CS-4 is the industry’s fastest AI accelerator and the first system built on the new Cerebras Nexus rack-scale platform.
CS-5 is designed to set a new standard for token-generation speed with our next-generation wafer.
And with CS-6, we plan to push the frontier of 3D integration further, stacking DRAM at wafer scale to deliver the next step-change in AI performance and efficiency.
Daniel Kim retweeted
Cerebras's Next Generation CS-4: Fast Just Got Faster
Double the Performance,
Double the Power,
Double the Fun
newsletter.semianalysis.com/…
We have been using ultrafast at Cerebras for a bit, and it has changed the way we work.
We are able to cook faster than ever before
Daniel Kim retweeted
If you've wondered where I've been recently, I gave an interview. This is a very difficult time for me. I'm trying to bring my mom home, and I could use your help spreading the word. Please watch, and please share.
interview: youtube.com/watch?v=JlK2a6yv…
website: bringmymomhome.com/
Daniel Kim retweeted
We’re excited to expand our partnership, @cerebras!
@AMD discussing partnering with @cerebras for ultra-low-latency inference processing at #AdvancingAI. The first solutions will be available later this year in the Cerebras Cloud and available to large customers. More details to come.
RAG is dead for people whose codebases are small enough to grep. (And people who didn’t read the blogpost tsk tsk)
Daniel Kim retweeted
Really excellent deep dive, especially the hybrid Slack approach (full-text + embeddings + IDF + age decay + bursting) and the decision to meet data where it lives instead of forcing a single source of truth.
This lines up closely with what we’ve built into @StackOverflow's new Stack Internal platform, which produces trusted company context for enterprise AI.
Stack Internal includes the same multi-source ingestion philosophy, but with a strong human validation layer on top so agents get governed, high-confidence knowledge instead of raw retrieval. The bidirectional MCP piece is particularly interesting - we’ve gone all-in on that for agents reading and writing back.
Great work @cerebras @hi_im_isaac_ @learnwdaniel @gaozenghao
Daniel Kim retweeted
Initially we debated whether embedding code repositories was necessary. With the rise of Claude Code and other command-line tools, creating code embeddings felt counterintuitive when it seemed like “grep is all you need.” After talking with others in the industry and reading Cursor’s findings on semantic search in large codebases, we decided to try.
Had similar experiences on gemini with our coding agents and ending up building something custom - super cool write up on context management for all types of agentic knowledge bases :)!
Daniel Kim retweeted
Ontology, knowledge base, company brain — all the same thing.
Massive kudos to @cerebras for posting a detailed write up of how theirs works. More thoughts in the thread 🧵 cerebras.ai/blog/how-we-buil…
Super exciting work from the growth team :)
We're excited to collaborate with @upstageai, one of Korea's leading AI companies. Upstage's Solar 31B is now running on Cerebras at up to 2,000 tokens/sec.
Watch Solar 31B complete a deep research query across 246 sources...how much faster do you think it is?
Daniel Kim retweeted
Gemma 4 31B at over 1,800 tokens per second!
Gemma 4 is now in Public Preview on Cerebras.
Daniel Kim retweeted
Last week Apple previewed the future of Siri. In 1987 though, Apple showcased a far more advanced AI assistant that would change how we use our computers entirely. It could see you, control your computer, and even looked and sounded human. They called it Knowledge Navigator.
For nearly 40 years it remained science fiction. This past week at @tavus we finally brought it to life with the help from our friends at @cerebras.
Meet Dom:
