Every consumer law case starts with "is it worth taking?"
Agents can now answer it cheaply and at volume.
Foremark Legal built an underwriting engine for consumer legal claims. On top of it runs the first agentic, outcome-based consumer law firm. Once a claim is cheap to price,… https://t.co/rYQigIjYmq
We've just surpassed 3 million models on the Hub 🤗 the community is accelerating towards an open, distributed future where open AI is everywhere, for everyone 🚀...
@JoshuaJBouw @marklaunches We provide free and discounted models so you do not need to run anything locally to get a good experience for cheap or even free...
Apparently the newest benchmark for AI models is… can it commit cyber crimes? 😭
First OpenAI’s model broke out during testing and hacked Hugging Face.
Then Anthropic basically showed up like, “our models commit crimes too.”
And now Meta has joined the club after one of its AI models accidentally got access to the public internet during cybersecurity testing and started hacking another company.
Obviously, there are some very real and slightly terrifying implications here about what happens when increasingly capable AI systems get access to tools they weren’t supposed to have.
But I also can’t get over how these stories are starting to feel like a very weird flex from the AI companies like: "Our model is so smart it broke containment too!”
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Abstract page for arXiv paper 2608.16419: PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data...
If you pick models from benchmark deltas, some of that delta belongs to the phrasing rather than the model.
BenchDrift generates meaning-preserving variations of benchmark problems along linguistic, referential, pragmatic, and structural axes,… pic.twitter.com/dZG9ioRVPL
If you pick models from benchmark deltas, some of that delta belongs to the phrasing rather than the model.BenchDrift generates meaning-preserving variations of benchmark problems along linguistic, referential, pragmatic, and structural axes,...
Small models. Big cost savings. @relace_ai trains specialized models purpose-built for code generation, powered by the dedicated @ycombinator GPU clusters on Together AI. pic.twitter.com/Tf8UB6zLpK
Small models. Big cost savings. @relace_ai trains specialized models purpose-built for code generation, powered by the dedicated @ycombinator GPU clusters on Together AI.
Abstract page for arXiv paper 2608.16273: Foresight-England: Development of a National-Scale Generative AI Model of Electronic Health Records for Medical Event Prediction across the COVID-19 Pandemic...
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