Fast Snacks 🥡

OpenAI Valuation Continues To Soar Despite Recent Exits
Greg Brockman’s return signals a new wave for OpenAI, even as key leaders are departing. OpenAI’s soaring valuation and significant investment backing shows its persistent hold on the market despite challenges…

MIT’s New Training Method Boosts AI Problem-Solving
MIT researcher’s new AI training method, called test-time training (TTT), enables models to adapt to new tasks during operation leading to a breakthrough in increased problem-solving accuracy on the ARC benchmark, bringing AI closer to human reasoning abilities…

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China And Brazil Are Testing AI In Court Cases 🧑‍⚖️

China and Brazil are leading AI adoption in courts, promising efficiency but stirring obvious bias concerns.

Estonia, a country known for it’s digital-forward policies, uses AI for small civil claims, but complex cases continue to be human-judged, highlighting the importance of human oversight and intervention.

India is taking a careful approach, like testing “AI lawyer’s”, which illustrates their view on balancing innovation with tradition. As AI streamlines legal processes globally, fairness and ethics remain top priorities.

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Recap From Anthropic CEO’s Lex Friedman Interview 🎙️

This is Dario Amodei.

He’s the CEO behind Claude, one of the world’s most advanced AIs.

Yesterday, in a 5.5 hour conversation with @lexfridman, he revealed our timeline to superintelligence.

Let me save you 5 hours: 🧵 pic.twitter.com/2bOEt7tTer

— Ben Averbook (@benaverbook) November 12, 2024

In a recent Lex Friedman Podcast interview with CEO of Anthropic, Dario Amodei, he said that we are rapidly approaching “human-level” capabilities with AI, stating that most models are currently operating at a PhD or Professional level.

At the beginning of the year, the state-of-the-art was scoring around 3 to 4% on the SWE-Bench Test, and now, Claude 3.5 Sonnet scored an incredible 53% on October 29th making it the highest performing model on coding task.

The massive 17x growth in capability from 3% to 53% in just under 10 months shows the kind of exponential trajectory the technology is moving at.

AI Can Solve Almost Any Problem Except This One… 🤔

Despite the rapid advancement in the space, The FrontierMath benchmark by Epoch AI reveals a significant chink in AI’s armor: tough math problems.

While AI models hit 90% on easy tests, they fail miserably with less than 2% accuracy on these expert challenges. Crafted with input from 60 top mathematicians, FrontierMath exposes the limits of AI’s real-world problem-solving abilities.

The benchmark’s problems span complex disciplines and remain private to keep models from simply memorizing them.