How To Avoid AI Design Slop

How To Avoid AI Design Slop

Up next

How To Build The Future: Max Hodak

YC alum Max Hodak is the co-founder of Neuralink and founder of Science, a company building brain-computer interfaces that can restore sight.Science has developed a tiny retinal implant that stimulates cells in the eye to help blind patients see again. More than 40 patients have ...  Show more

The Fastest Path To Super Intelligence

Poetiq is a new startup founded by former DeepMind researchers that recently achieved a major jump on the ARC-AGI and Humanity's Last Exam benchmark by layering a recursive self-improvement system on top of existing models. In this episode of Lightcone, Poetiq's Founder & CEO Ian ...  Show more

Recommended Episodes

Alexandr Wang: Building Scale AI, Transforming Work with Agents & Competing With China
Lightcone Podcast

Alexandr Wang started Scale AI to help machine learning teams label data faster.It started as a simple API for human labor, but behind the scenes, he was tackling a much bigger problem: how to turn messy, real-world data into something AI could learn from. Today, that early idea ...  Show more

AI that connects the digital and physical worlds | Anima Anandkumar
TED Tech

While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics," says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real worl ...  Show more

AI Just Achieved Something No One Thought it Would Until Years From Now
The AI Daily Brief: Artificial Intelligence News and Analysis

An experimental reasoning model from OpenAI and Deep Thinking model from Gemini just achieved a Gold Medal performance at the International Math Olympiad. In both cases, the models solved 5 out of 6 IMO problems without any external tools, using pure mathematical reasoning that r ...  Show more

The TED AI Show: How AI robots learn just like babies — but a million times faster w/ NVIDIA’s Rev Lebaredian
TED Tech

Computers have been outperforming humans for years on tasks like solving complex equations or analyzing data, but when it comes to the physical world, robots struggle to keep up. It can take years to train robots to function in the messy chaos of the “real world” — but thanks to ...  Show more