don’t pace me bro

San Francisco
Joined March 2011
connor retweeted
With open models, we can build safety tooling directly into the inference layer. Our CEO and co-founder @tuhinone sat down with @kr00ney at @cnbc to discuss Project Beacon, and our work with @GoodfireAI to make safety the default for open intelligence.
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connor retweeted
Today we’re announcing the Baseten Environment Network, a group of the best RL environment companies that will help our customers build custom environments for post-training. The Network extends our applied research capacity, helping more customers build environments around their own tasks, data, and feedback. Partners work directly with customers to create the environments, while we continue to handle model training and production deployment. Learn more: baseten.co/blog/introducing-…
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connor retweeted
Today we release mammoth-1 and elephant-1! We post-trained mammoth-1, the #1 ranked best decision model in the world, and elephant-1, which is the best model under 15B (and beats Jev). We're open-sourcing all model weights and provide a technical report detailing all our training and data methods.
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connor retweeted
Today we’re releasing two decision models, elephant-1 (9B) and mammoth-1 (27B), trained by the @baselabs team, available for free for one week on our Model APIs. mammoth-1 is #1 on the Jev Decision Index and elephant-1 is tied for #1 on the Artificial Analysis Decision Index. It’s a new model, but more importantly, this is an open-source model you can access, deploy, and post-train on Baseten (or wherever you do your best work). The free week ends 10/27/26 at 11:59 PM PT. Try it and let us know what you think. Try mammoth-1 here: baseten.co/library/mammoth-1… Try elephant-1 here: baseten.co/library/elephant-…
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1/4 Today, we’re releasing Mercury 3. Mercury 3 is by far our most powerful model and the most intelligent diffusion LLM ever released. It outperforms GPT-6 Luna and Haiku 5.5 on quality while running at 1000+ tok/sec.
🤖 Made with AI
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connor retweeted
There are literally zero moats left unless you go to the portfolio tab on our website those are the only companies with moats
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the power of being in a position to aggregate demand...
I wrote about why Salesforce's path to becoming an agent infrastructure provider is paved with inference.
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connor retweeted
Open models can come from anywhere. Securing them shouldn’t depend on where you get them. Today we're launching Project Beacon to make safety a default for open intelligence. We're partnering with @GoodfireAI to bring inference and in-line monitoring together for the first time, so safety signals are caught proactively. Read more in our announcement: baseten.co/blog/safe-open-mo…
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We’ve lost an icon. Margaret Hamilton, a computer science pioneer best known for her work at MIT leading development of the flight software for the Apollo missions to the moon, has died at 90. Read about her legacy via MIT News: news.mit.edu/2026/margaret-h…
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connor retweeted
Progress that moves the frontier is almost never made alone. We’re thrilled to announce All-Gather, our first-ever research conference that will bring together the brightest minds in research, founders, and engineers to join us for a day of debate and exchange. Come hear Noam Brown, Sarah Guo, Horace He, Bryan Catanzaro, Jerry Tworek, Sabri Eyuboglu, Tuhin Srivastava, and many more debate pre-training, post-training, infrastructure, model performance, and emerging fields. Join us on November 18th in San Francisco. Research has been part of our DNA from our early days of optimizing open-source models through our recent launch of Base Labs. We’ve grown with the open ecosystem, and we’re excited to keep building alongside it. Space is limited, but we’d love you to join us. Apply here: baseten.co/all-gather/
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connor retweeted
We’re excited to announce that 3/3 papers from our research team were accepted at NeurIPS workshops this year! Two papers will be featured in the continual learning workshop, and another one in the grounded computer vision workshop. More on the papers below 🧵
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connor retweeted
The first video-to-video model to pass the Turing test, trained on Baseten. Congrats to the @tavus team on the launch of Griffin!
Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).
Readers added context they thought people might want to know
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard. cellcog.ai/blog/tavus-gri… research.nvidia.com/labs/amri/proj… tech-ish.com/2026/10/02/tav…
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Enterprise teams can now use open models like GLM-5.3 Flash and Kimi K3 natively in Codex and count spend against their OpenAI commit.
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connor retweeted
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
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AI for science is one of the greatest positive forces we have, and I cannot think of anything more human than to understand nature and to use the power to create new technologies that improve our lives, civilization and allow us to reach beyond.
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connor retweeted
Replying to @KamalaHarris
The entire thing is fake
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OH: if your product can be replaced with the fruit fly you're ngmi
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what did Ilya see?
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connor retweeted
I'm so excited that our @theworldlabs team has achieved a major milestone today! Introducing Atlas - a first of its kind multimodal world model trained from scratch! 🚀 Atlas is capable of generating frames with pixel-perfect camera control, reconstructing large scenes from as few as one single input image, simulating space-time by reframing videos, natively outputting 3D spaces from one or more input images, composing multiple posed images into a consistent 3d world, and more! This is the best camera conditioned world model ever, opening doors to many possible use cases from VFX to robotics. I'm so so so proud of our team!♥️
Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
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