Lifeboat Foundation

1:05 — OpenAI board saga 18:31 — Ilya Sutskever 24:40 — Elon Musk lawsuit 34:32 — Sora 44:23 — GPT-4 55:32 — Memory & privacy 1:02:36 — Q* 1:06:12 — GPT-5 1:09:27 — $7 trillion of compute 1:17:35 — Google and Gemini…

Sam Altman is the CEO of OpenAI, the company behind GPT-4, ChatGPT, Sora, and many other state-of-the-art AI technologies. Please support this podcast by checking out our sponsors:
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Continue reading “Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGI | Lex Fridman Podcast #419” »

From satellites to thermal cameras, technology has always been a powerful tool for conservation. Artificial Intelligence could be the most important yet.

“Our research in the past decade has made analog memristor a viable technology,” said Dr. Qiangfei Xia. “It is time to move such a great technology into the semiconductor industry to benefit the broad AI hardware community.”

Digital computing has become the norm in our everyday lives, but their limits are being reached in terms of computing power. Can analog computing step in and outperform them? This is what a recent study published in Science hopes to address as a team of researchers from the University of Southern California, TetraMem Inc., and the University of Massachusetts, Amherst (UMass Amherst) have spent the last decade developing memristors, which are capable of overcoming the computing limits of digital computing. This study holds the potential to help researchers develop more efficient methods in storing data without the drawbacks of holding too much of it, thus creating a clog.

“In this work, we propose and demonstrate a new circuit architecture and programming protocol that can efficiently represent high-precision numbers using a weighted sum of multiple, relatively low-precision analog devices, such as memristors, with a greatly reduced overhead in circuitry, energy and latency compared with existing quantization approaches,” said Dr. Qiangfei Xia, who is a professor of Electrical & Computer Engineering at UMass Amherst and a co-author on the study.

Continue reading “Breaking Digital Limits: Memristors Revolutionize Scientific Computing” »

Reinforcement learning can help robots tackle new tasks they haven’t tried before.

YouTube is now requiring creators to disclose to viewers when realistic content was made with AI, the company announced on Monday. The platform is introducing a new tool in Creator Studio that will require creators to disclose when content that viewers could mistake for a real person, place or event was created with altered or synthetic media, including generative AI.

The new disclosures are meant to prevent users from being duped into believing that a synthetically created video is real, as new generative AI tools are making it harder to differentiate between what’s real and what’s fake. The launch comes as experts have warned that AI and deepfakes will pose a notable risk during the upcoming U.S. presidential election.

Today’s announcement comes as YouTube announced back in November that it was going to roll out the update as part of a larger introduction of new AI policies.

Apple is looking to team up with Google for a mega-deal to leverage the Gemini AI model for features on iPhone, Bloomberg reported. This will put Google in a commanding position as the company already has a deal with Apple as the preferred search engine provider on iPhones for the Safari browser.

The publication cited people familiar with the matter saying that Apple is looking to license Google’s AI tech to introduce AI-powered features with iOS updates later this year. Additionally, the company also held discussions with OpenAI to potentially use GPT models, Bloomberg said.

In the digital age, where entertainment is but a click away, a silent yet powerful transformation is underway. Streaming companies, the vanguards of this digital entertainment era, are not just delivering content; they’re crafting experiences, and artificial intelligence (AI) is their most adept tool. Let us explore how AI is not just changing, but revolutionizing the way we consume media.

Gone are the days of aimlessly browsing channels to find something to watch. AI in streaming services is like a discerning director, understanding and curating content to fit the unique tastes of each viewer. It’s an era where your streaming service knows what you want to watch, sometimes even before you do. The great power of AI is personalization, where organizations can create unique user journeys. At the core of AI’s integration into streaming is personalization. Netflix, the colossus of streaming, employs AI algorithms to recommend movies and shows based on your viewing history. However, generally, these recommendation engines based on historical presences have muted value. Traditional metrics leverage past viewing information or collaborative filtering to make content recommendations. However, customer feedback has shown these are imperfect fits in the age of data for precision product-market fit.

General-purpose humanoid robots using AI are advancing and increasingly gaining investment support to perform tasks that humans do easily.

Humanoid AI smart robots are accelerating with major investments from automotive giants BMW, Honda, Hyundai, Mercedes Benz and Tesla, to name a few. Will this growth and interest accelerate approval of a new 32-hour work week bill earlier?

Researchers pioneer MTF-engineering framework, leveraging meta-optics and AI for thinner, lighter, and higher-quality infrared imaging.