Labelbox

@labelbox

Frontier RL data for the world’s leading AI teams.

San Francisco, CA

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Labelbox
@labelbox
Jul 16
Manu (@manuaero) joined Jason Calacanis on This Week in AI alongside @sarahookr (Adaption Labs) and @spirosx (Resolve AI) to break down the rapidly shifting AI landscape. From the Token Price Wars and Demis Hassabis’ recent call for an AI oversight board, to the Uber vs. Waymo
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Labelbox
@labelbox
Jul 7
Do AI models become less honest when they self-report their own misbehavior? Our Applied Research team studied a key question in chain-of-thought (CoT) monitorability: do models faithfully report their own misbehavior when they are asked to? We introduce Monitorability
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Labelbox
@labelbox
Jun 25
1/ Today, we’re introducing Recursion: the RL platform for building, evaluating, and deploying specialist agents. The next phase of AI won’t just be about smarter models. It will be about systems that learn from the unique expertise of every organization. 🧵
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Labelbox
@labelbox
Jun 16
Where do models change their minds? Natural Language Autoencoders (NLAs) offer a promising way to translate a model’s internal representations into natural language. But the harder question is: where do meaningful decisions actually happen? We tested a workflow for finding
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Labelbox
@labelbox
May 20
When AI benchmarks saturate, what comes next? Historically, leaderboard saturation leads to two paths: hyper-specialized questions or increasingly abstract puzzles. A new paper from @Meta Superintelligence Labs introduces a third path: GIM (Grounded Integration Measure).
When benchmarks saturate, what comes next? Meta’s GIM pushes AI evaluation toward integrated...
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