George Hu

President, @FireworksAI_HQ . Board Member, World Relief, Yelp. 2 Corinthians 4:7

[Lin Qiao @lqiao]

We're a launch partner for Muse Glimmer and very excited to see @finkd and @alexandr_wang note that a version of Muse Spark will also be available as an open weights model.

[Dmytro Dzhulgakov @dzhulgakov]

one of the top cybersecurity models, post-trained from open weights by @depthfirstlabs on @FireworksAI_HQ

long-horizon RL is as much an infra problem as a research one: 100+ turn rollouts, async/pipeline RL for high utilization, train-sampling numerical alignment

Fireworks training platform takes care of infra, so research can move fast

we're proud to support the ecosystem of cyber defenders like depthfirst as AI adoption accelerates

[Lin Qiao @lqiao]

What a week with Kimi K3 and Opus 5 launch!

We compared these two great models across SWE (480), Algorithmic(100), Terminal (83), the task level quality is very close with Opus 5 being on par or better, and K3's per-task cost is 2x to 4.6x cheaper, using serverless pricing.

Key measurement is per-task cost, not per-token cost. In general, open models tend to be more verbose than close models. Hence the quick study.

We aim to continue to increase per-task serving efficiency (via Fireworks Inference) and quality (via Fireworks Training).

Share what you find out for the tasks you care about. 👇

More details of our study -- https://t.co/b5UcjeMVE4

[Fireworks @FireworksAI_HQ]

Kimi K3 is live on Fireworks. Day 0, inference and training. US-hosted, and zero data retention.

This is the first frontier open model in the 3 trillion parameter class. It sports 1M context, native vision, and reasoning that rivals the top closed models.

Boom.

[Jensen Huang @JensenHuang]

Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community.

During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.

That’s why we created the Open Secure AI Alliance.

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[Lin Qiao @lqiao]

https://t.co/ikqsW9KiC3

[Max Brodeur-Urbas @MaxBrodeurUrbas]

there are certain costs people have stopped questioning

so when one of them drops 80%, the first reaction is disbelief

open-weight models will give everyone that reaction at scale this year

excited to be partnering with @FireworksAI_HQ on this

[Fireworks @FireworksAI_HQ]

Open + closed models = better together.

Our previous research with @harvey showed the benefits of combining a frontier closed model as an advisor agent with fine-tuned, open-source worker agents. Three benchmarks later, the result holds. In an even simpler set up, the open + closed duo delivers superior outcomes and 40-67% lower cost than running entirely on Opus 4.8.

Read the breakdown → https://t.co/awTnu8dscH

[Fireworks @FireworksAI_HQ]

GLM 5.2 is live on Fireworks, day zero. 1M-token context, coding‑first frontier model, independently validated on SWE‑bench, Terminal‑Bench, GPQA and AIME.

Served on our own infrastructure the moment @Zai_org opened the weights.

What’s under the hood ↓

[Lin Qiao @lqiao]

Customization continues to improve on another SOTA model.

Own your intelligence, not rent!

[Fireworks @FireworksAI_HQ]

Fireworks Training Platform keeps expanding.

Leading US open weight model Nemotron 3 Ultra is now ready for post-training: SFT and DPO via LoRA or full-parameter, on the same infrastructure that serves it.

The model you train is the model you ship: https://t.co/hX4Tn1E7Lm

[Markie Wagner @markiewagner]

Introducing @PoeticHQ: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents.

We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination.

While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy.

So we built a new kind of software that pairs the flexibility of AI with the predictability of code.

When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective.

In one year, we went from zero to an eight-figure run rate as a team of four.

Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.

[Fireworks @FireworksAI_HQ]

Frontier models are powerful advisors.

On @harvey's Legal Agent Benchmark, a GLM 5.1 worker using Claude Opus 4.7 as a sparse advisor reached 18/100 all-pass versus 14/100 for Opus alone, at 39% of the cost.

More on the harness design, advisor pattern, and training results: https://t.co/ozxFycdzcT

[Lin Qiao @lqiao]

We just hit a major milestone — @FireworksAI_HQ passed $800M annualized run rate and reached 4x revenue growth, apart from Cursor, in Q1.

We invite curious and courageous minds to join us and define new frontiers of specialized intelligence!

[George Hu @GeorgeHuSF]

Excited to share some big news: I've joined @FireworksAI_HQ President.

I've spent my career at the intersection of great teams, disruptive technology, and massive market opportunity, from architecting @salesforce 50x revenue growth to $5B+, to driving 10x revenue growth at @twilio in five years.

I believe the opportunity at Fireworks is even bigger.

Fireworks is the world’s frontier inference platform, created by the team that built PyTorch, the backbone of modern AI. As the demand for tokens explodes, inference is poised to be one of the biggest markets in history. Now that we’ve hit an inflection point in the quality of open models, I believe no one is better positioned than Fireworks.

Fireworks brings together state-of-the-art training and inference on one platform, enabling companies to transform open models into private models that surpass frontier model performance. Owning your model is the key to being able to control your AI quality, performance, cost, and future. That’s why Fireworks has become the inference platform of choice for AI leaders like Cursor, Vercel, DoorDash, Genspark, Uber, Shopify, and thousands more.

Fireworks is in the early stages of this hyper-growth journey, now processing 30 trillion tokens a day, up more than 100% from just a few months ago.

I want to thank our visionary CEO @lqiao for this opportunity. I’ve had the privilege of partnering with some amazing CEOs like @Benioff and @jeffiel, and I have the same confidence that Lin and I will be amazing partners in building a generational company.

If you're looking for the ride of a lifetime, we're hiring across the board.

Let's bring the 🔥

[George Hu @GeorgeHuSF]

This #GivingTuesday, I invite you to consider giving to World Relief. In the face of so much suffering around the globe, it’s easy to lose hope. But churches and people like you are making a difference all across the globe in partnership with World Relief. https://t.co/fllex8K8po

[George Hu @GeorgeHuSF]

Heart broken to hear the news about the Earthquake that has affected Turkey and Syria. As a board member of World Relief, I am honored to join their efforts to quickly respond to the crisis. Please consider standing with us. https://t.co/riUfkAr56u

[The Associated Press @AP]

"What are we doing? There were more mass shootings than days in the year. Our kids are living in fear."

Connecticut Sen. Chris Murphy pleaded with his colleagues to act after the mass shooting at a Texas elementary school. https://t.co/96dM0v77Np