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    Baseten Announces Base Labs for Open-Source AI Research

    Baseten team launches dedicated lab to advance open-source AI models and publish all findings.

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    10 Sources, 27d ago, first seen 27d ago

    TLDR

    Tuhin Srivastava and Charlie O'Neill announced Base Labs, a Baseten research organization. They stated the lab will focus on specialization, continual learning, reasoning, memory, and performance while sharing every result openly. The group said its mandate is to make open-source models as useful as possible and to publish without exception, including failures. Sarah Guo retweeted the launch post. Alana Goyal commented that the work looks promising. The announcement included a video montage and listed blue-sky research areas such as the science of reinforcement learning across model lifecycles.

    Combined views

    303.7K

    10 Sources, first seen 27d ago

    Combined views

    303.7K

    10 Sources, first seen 27d ago

    2K likes
    2K likes
    121 comments
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    314 reposts
    121 comments
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    314 reposts

    Sentiment

    Positive95.7%4.3%Negative

    Summary

    Sentiment

    Positive95.7%4.3%Negative

    Many accounts welcomed Baseten’s Base Labs launch for its pledge to publish all research including failures and advance open-source AI, while a few questioned whether those commitments would hold once results turn competitive.

    Based on 71 sentiment-bearing replies from 70 accounts across 3 conversations.

    Summary

    Many accounts welcomed Baseten’s Base Labs launch for its pledge to publish all research including failures and advance open-source AI, while a few questioned whether those commitments would hold once results turn competitive.

    Based on 71 sentiment-bearing replies from 70 accounts across 3 conversations.

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    10 Sources

    @baselabsToday 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. https://labs.baseten.co/
    @oneill_cToday we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our one rule is that we publish without exception, including what fails. Up until pretty recently I thought the way to get the world onto open models was to train them for one company at a time. @mudithj, @maxkirkby and I cofounded @parsedlabs on that bet, @baseten acquired us, and we spent the last year running their training team doing it for customers one by one. Every one of those engagements taught us something new about how models learn, forget, specialise and get cheaper, and almost none of it got spoken about. Sadly, in general that's the field's default in that the people who know the most about training have the least freedom to say it. To be clear I don't think the closed labs are the villains here. They get to new capabilities first, which buys the rest of us time to harden the world before that stuff is everywhere, and they're the ones paying to find out what's actually possible. But I'm fairly convinced the only real advantage they have is data and scale, and their incentives point squarely at the frontier. You can't do slow, public science on how these things learn when your job is the best model by end of quarter. Someone without that pressure has to, and there are very few of those someones around. Hence Base Labs. We have the broad remit of making open-source as useful as possible and our one rule is that we publish without exception, including what fails. The first problem is continual learning, which I have come to think is several problems wearing one name. We are also working on the open RL environments and data that open models need and currently can't get, because we have to aggregate data with the same ferocity everyone's been talking about aggregating compute. Plus a bunch of other stuff I'm genuinely excited about, eg a safety stack people can run on top of open deployments, and performance research so these things are cheap for everyone to serve. I still think open and closed coexist, and that's the good world. It's just that coexistence isn't free, someone has to actually do the work, and this is basically what keeps me up at night. We're hiring researchers, engineers and fellows. Come help distribute the mandate of heaven!
    @tuhinoneWe'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.
    @saranormousRT @baselabs: Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a hea…
    @alanaagoyalbase labs is doing insanely cool work
    @clarejtbirchRT @oneill_c: Today we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our…
    @peteskomorochRT @oneill_c: Today we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our…
    @jeremyphowardRT @oneill_c: Today we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our…

    10 Sources

    @baselabsToday 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. https://labs.baseten.co/
    @oneill_cToday we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our one rule is that we publish without exception, including what fails. Up until pretty recently I thought the way to get the world onto open models was to train them for one company at a time. @mudithj, @maxkirkby and I cofounded @parsedlabs on that bet, @baseten acquired us, and we spent the last year running their training team doing it for customers one by one. Every one of those engagements taught us something new about how models learn, forget, specialise and get cheaper, and almost none of it got spoken about. Sadly, in general that's the field's default in that the people who know the most about training have the least freedom to say it. To be clear I don't think the closed labs are the villains here. They get to new capabilities first, which buys the rest of us time to harden the world before that stuff is everywhere, and they're the ones paying to find out what's actually possible. But I'm fairly convinced the only real advantage they have is data and scale, and their incentives point squarely at the frontier. You can't do slow, public science on how these things learn when your job is the best model by end of quarter. Someone without that pressure has to, and there are very few of those someones around. Hence Base Labs. We have the broad remit of making open-source as useful as possible and our one rule is that we publish without exception, including what fails. The first problem is continual learning, which I have come to think is several problems wearing one name. We are also working on the open RL environments and data that open models need and currently can't get, because we have to aggregate data with the same ferocity everyone's been talking about aggregating compute. Plus a bunch of other stuff I'm genuinely excited about, eg a safety stack people can run on top of open deployments, and performance research so these things are cheap for everyone to serve. I still think open and closed coexist, and that's the good world. It's just that coexistence isn't free, someone has to actually do the work, and this is basically what keeps me up at night. We're hiring researchers, engineers and fellows. Come help distribute the mandate of heaven!
    @tuhinoneWe'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.
    @saranormousRT @baselabs: Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a hea…
    @alanaagoyalbase labs is doing insanely cool work
    @clarejtbirchRT @oneill_c: Today we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our…
    @peteskomorochRT @oneill_c: Today we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our…
    @jeremyphowardRT @oneill_c: Today we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our…