Clemens Rawert

I'll be speaking at @ClickHouseDB user conference Open House in London at the end of September. Registrations are now open & I'm very much looking forward to being in 🇬🇧 - #agenda" target="_blank" rel="nofollow noopener">clickhouse.com/openhouse/lond…

We’ve arrived at @polaris_code for the #clickathon by @ClickHouseDB and the vibe here is absolute dope!!! Started off with the Keynote Sessions by the OGs @sidagarwal04 , @ClickHouseDB CTO Alexey Milovidov, @rawert @MikeShi42 & Team! Super pumped up for this 🥳

We’ve decided to open-source a multi-agent harness we use internally at YC. We call it “QM” and it’s meant to be easy to customize, like Hermes or OpenClaw, but useful for a whole company. We use it across accounting, legal, events, and engineering (including building QM itself!). The whole project is under an MIT license. It is cloud-first and has Slack and web UI natively.

@matsiiako 👀

The video is a precursor to the opening of the Infisical underground club in Berlin 😅

Launching something new today: Infisical Agent Proxy. Basic idea is: Don't let agents read your secrets. You can try it out now in your Infisical dashboard.

major price cuts today: *80% drop for GPT-5.6 Luna, now $0.20 per million input tokens and $1.20 per million output *20% drop for GPT-5.6 Terra, to $2/$12 *GPT-5.6 Sol gets Fast mode in the API, up to 2.5x the speed for 2x the price, same intelligence

that wasn't on my bingo card

🎉🎉 github.com/langfuse/langf…

Introducing Rook by @Hop_Aero (YC S26): an autonomous hypersonic cargo rocket that delivers 550 lbs up to 450 miles in ~15 minutes. It launches from a standard 40-foot shipping container and lands on unprepared surfaces—no runways or fixed infrastructure required.

Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of compute, not just more params. Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale. Model weights: huggingface.co/moonshotai/Kim… Tech report: github.com/MoonshotAI/Kim… Tech blog: kimi.com/blog/kimi-k3

@JensenHuang @nvidia

never ask a model her weights

great session on OCR with @MistralAI 's Katja & @BirknerBernhard on Tuesday. Cheap models like Mistral's OCR4 have come really far - and can easily decipher my handwriting for a @langfuse demo. thank you for hosting tacto!

Langfuse speaks OpenTelemetry natively, so your LLM traces live right alongside the rest of your stack. Have a look at the video below to see how we use OTEL end to end 👇

@marcklingen @rawert 👀

Sweet kit @FulhamFC!

@marcklingen same here lol

whenever I open X, am I doing something wrong?

@TaylorLorenz MOTS pod for sure except instead of AI drama it was SF dating which is basically the same thing if you think about it

Kimi K3 (Max) on Warden's bench Also, no failures - it completed without a single repair job afaik, which is uncommon. Surprisingly reliable. Price point for accuracy is amazing. Def swapping to it.

Who else should we benchmark?

@whereischarly 🫶

working in the office is the best, kinda jealous tbh