@TheGregKof
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Just livin' the Greg Kofman life.
Joined April 2014
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Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI.
We believe in a healthy, open frontier model ecosystem. To enable this, we are working on:
- Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly.
- The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on.
- Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence.
- Making models cheaper and more performant through our model performance research.
This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open.
We’re hiring engineers, researchers, and research fellows to advance this mission.
labs.baseten.co/
Greg In The Booth retweeted
We're very excited to launch Base Labs to democratize open-source AI research.
We'll push the frontier in specialization, learning, reasoning, memory and performance, with a commitment to share all our work openly with the community.
Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI.
We believe in a healthy, open frontier model ecosystem. To enable this, we are working on:
- Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly.
- The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on.
- Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence.
- Making models cheaper and more performant through our model performance research.
This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open.
We’re hiring engineers, researchers, and research fellows to advance this mission.
labs.baseten.co/
We’re excited to announce our $1.5B Series F.
Baseten exists to help companies own their intelligence and run AI products in production with speed, reliability, and control. As we enter this next chapter, three things are clear:
1. Customers like Abridge, Clay, Cursor, Decagon, HubSpot, Lovable, Notion, and OpenEvidence are proving that AI can create transformational value across industries and workflows. They have built products where intelligence is core to the customer experience and central to the value they deliver.
2. Open models - like GLM 5.2 - are now exceptionally strong, and the quality gap with leading closed models is smaller than ever. We’re seeing more companies turn to open and specialized models for better economics, performance, and ownership over their stack. Baseten provides the fast, reliable inference layer to run those models in production across every modality.
3. Post-training is giving companies a path to turn their own data, evals, feedback, and judgment into durable technical advantage. The most sophisticated teams are already using RL and domain-specific optimization to outperform closed models on important tasks and workflows. This will become a defining capability for every company building at the application layer.
We're excited to accelerate progress to this future of owned intelligence.
Thank you to our customers for your trust and partnership. We’re grateful to be building this future with you!
RT @baseten: Cold starts for large models are one of the hardest problems in AI inference infrastructure. Today we're launching the Baseten…
This quoted post is unavailable.
Greg In The Booth retweeted
Team iCane built an audio visual hardware hack for the visually impaired to help navigate the world! #dragonhacks @dragonhacksieee @awscloud
Greg In The Booth retweeted
The color run raised over $8,500! Thank you to everyone who came out and supported the cause.
Just touched the Pacific Ocean for the first time, symbolizing the extent of my travels. #SantaMonica
Awesome time at the Newport Jazz Festival! So many talented artists in only three days. #NJF2015
