My favourite kind of research is the kind that breaks a default everyone’s relying on. This one does that for synthetic training data. The team’s latest research drop is live! 👇
The biggest hurdle in frontier AI is curating high-quality, diverse data. What happens if you need to post-train a model for a new capability, but have zero data? Today, we release the technical report for Invent a Dataset.
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Today’s office looks a little different
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Eating my way through São Paulo with some of the @adaption_ai team this week 🇧🇷
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A little glimpse into life at Adaption lately 🥹 New SF home and a very special team.
Our team spans continents. But every company needs a place where the work comes together. Welcome to our headquarters in San Francisco.
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Isabelle Camp retweeted
A more serious take on what is happening here. I am in an airport lounge so have some time. Enterprises have made an uneasy truce with frontier labs over last few years: strict contracts that ban training on corporate data in exchange for letting employees use APIs. The problem? Labs don't need to train on your raw data to copy IP.
Exclusive: Palantir, Nvidia and Booz Allen Hamilton are restricting Anthropic’s Fable model for sensitive work over concerns about its data-retention policies. Some customers are demanding irrevocable zero-data-retention guarantees before putting proprietary information into the model. Full story: thein.fo/4dekujW
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Huge congrats! So well deserved - and only the beginning
Co-founder @sarahookr was named to @WomenTechNet Top 100 Women in AI. The list recognizes the builders and leaders shaping what AI becomes next. Proud to build that future with her.
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Ontario maxing
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Invent a Dataset is live! 🚀 Describe the data you need and train your model. Try it out 👇
Introducing Invent a Dataset. Describe the dataset you need. Get a structured, training-ready dataset back. No existing data needed. Dataset creation used to start with collection. Now it starts with specification.
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Campfire thoughts from the weekend. The new flex is going to be saying you finished your degree without AI. Our generation’s version of “I walked 10 miles to school uphill both ways.”
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Isabelle Camp retweeted
Trivia @adaption_ai is happening today at 11 AM! AI questions, Adaption deep cuts, prizes + bragging rights 🏆 Think you know your stuff? Come prove it 👀
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A very early introduction to user interfaces. Apparently, I’ve been thinking about them for a while. This was a fun one!
Adaptive Interfaces are a core pillar at Adaption, so old interfaces are never far from the conversation. What was the first interface you used?
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Learned a lot about my coworkers filming this 😅
Co-founders @sarahookr and @sudip_r0y played Two Truths and a Lie with the team. Turns out the people behind the research have a few stories of their own. Can you spot the lie?
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Isabelle Camp retweeted
From Cloud to Consumer: How AI is Reshaping Business. @sudip_r0y joins @KaranBajwa_IN of @googlecloud, @VerenaSiow of @SAP, and Anil Goel of @Nielsen at @EconomicTimes World Leaders Forum.
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Isabelle Camp retweeted
The cost of remembering should not scale with how much there is to remember. New research from @bargav025 and @sudip_r0y: 45% faster on long conversations, 97% fewer tokens processed.
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How do you turn a strong model into a system that keeps improving? Excited to unpack this in the first Field Notes. Sign up below 👇🏼
First episode of Field Notes, our new monthly series on the leaders shaping AI. @sudip_r0y, Adaption Co-founder, and @mgalle, post-training lead at @poolsideai discuss the last 5% of reliability and what it actually costs.
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Had a blast filming this one. Takeaway: AI researchers are excellent at citing people and surprisingly bad at describing them.
Can the Adaption team guess a legendary researcher from clues alone? Turns out, yes. Mostly. @sudip_r0y and the team play Guess the Researcher.
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Our latest work with @AISingapore shows what’s possible when AI is built to adapt to local needs. Excited to have been part of this one with @dariusl and @sudip_r0y
Better training data. Faster training cycles. Any language, any domain. @AISingapore used Adaption to enhance dataset quality and expand training dataset size via localization across five low-resource Southeast Asian languages.
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Lucha libre is proof that anything can be improved by adding a mask and a dramatic entrance. 10/10 team outing
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