Seb Duerr

[Cerebras @cerebras]

Join @cerebras and @cognition at @AIEMiami After Party on Tuesday April 21 to meet the team behind the world's fastest inference. RSVP link in comments.

Be sure to catch Head of DevX @MilksandMatcha's talk on latency debt if you're at AIE!

[Cerebras @cerebras]

10 academic papers. Parsed, analyzed, and synthesized. In under 10 seconds.

We built a research agent with @Cerebras Inference and @UnstructuredIO that processes entire literature reviews so you become a subject expert faster

[Cerebras @cerebras]

Over the weekend, the Cerebras team connected with 1,000+ student hackers at Stanford’s @hackwithtrees!

Some highlights:
• Met so many students building with the Cerebras API and OpenAI's new GPT-5.3-Codex-Spark model (powered by Cerebras🤝).
• Heard from our partner, OpenAI’s @sama, talk about the future of AGI where AI will move beyond simple automation into solving complex real economic problems and discovering new domains of knowledge.
• Hosted a sponsor lunch with friends from @GoogleDeepMind, @graphite, @warpdotdev, @HeyGen, @runpod, and more.

Talking with student hackers, we saw how low latency, a Cerebras specialty, changes how people build. Cerebras-powered teams shipped working projects in just a few hours, then spent the weekend iterating with real users instead of debugging.

When inference is instant, development becomes: ship, test, learn, repeat; with each cycle faster than the last.

Ready for 2000+ tokens/second? Meet us at our events or start now at https://t.co/rorHSQvWh7.

[Andrew Feldman @andrewdfeldman]

Just one month after announcing our partnership with @OpenAI, we’re launching our first model together: OpenAI Codex-Spark, powered by @cerebras.

Codex-Spark is built for real-time software development.

In coding, responsiveness is the product.
It is not a nice to have.

Codex-Spark is optimized for targeted code edits, logic revisions, and frontend iteration. It gives developers near-instant feedback so they can stay in flow.

Powered by the Cerebras Wafer-Scale Engine, it runs at over 1,000 tokens/s. That speed fundamentally changes the experience.

We did not build this to win a benchmark.
We built it so developers could move faster.

I’m proud of how quickly the OpenAI and Cerebras teams have brought this to life.

This is what fast execution looks like - deep engineering collaboration, rapid iteration, and shipping real products developers can use today.

We are just getting started.
When inference is fast, entirely new markets open up.

We plan to lead that shift with our partners at OpenAI.

[Seb Duerr @duerr_seb]

@cerebras Incredible team!

[Cerebras @cerebras]

OpenAI Codex-Spark powered by Cerebras

You can now just build things faster—at 1,000 tokens/s.

[Seb Duerr @duerr_seb]

@juliechoi Let's go!

[Seb Duerr @duerr_seb]

@Ashish_Soni08 @zhennydez We love that!!

[Seb Duerr @duerr_seb]

@cerebras Great work, team!

[Cerebras @cerebras]

72% of people don't trust the internet.

AI generated false information is polluting even trusted sources. It's impossible to sort through what is real.

With this cookbook, you can build a fact checker that scans web-pages and verifies every claim. All at the speed of light, powered by @cerebras.

Test it on Hacker News, the latest NeurIPS papers, the Wall Street Journal, X/Twitter...

Built with
@p0 Search API
@cerebras Inference
@OpenAI's gpt-oss-120B

Comment what questionable claims you catch 🧐