Terafab will close the gap between today's chip production and the future's demand - a future among the stars. This reflects the ambitious vision behind the project, aiming to meet the growing needs of AI technology.
Both me and @davemorin tried to talk sense into Anthropic, best we managed was delaying this for a week. Funny how timings match up, first they copy some popular features into their closed harness, then they lock out open source.
You just have to immerse yourself in it. You should just constantly be building. That's what's going to give you the best chance of having the relevant skill set that is needed to make a difference in technology.
Computer programs that check mathematical arguments have existed for decades, but translating a human-written proof into the strict programming language of a computer is extremely time-consuming, often taking months or even years.
The Anthropic Institute exists to understand and shape the consequences of powerful AI systems. We focus on the urgent questions that will determine whether these systems deliver the radical upsides that we believe are possible in science, security, economic development, and human agency-or whether they will pose a range of unprecedented new risks to humanity.
Science@Cal is proud to present a series of free public science lectures on the third Saturday of every month. These talks are given by renowned UC Berkeley scientists and aimed at general audiences. Talks take place on the UC Berkeley campus at 11 am. Doors open thirty minutes before the talk and seating is on a first-come, first-served basis. Each talk is planned to last an hour, plus time for at least a few questions at the end.
Cupertino Library's Teen Advisory Board (TAB) is holding a tech symposium on the future of AI on Jan. 24. Presenters include SellScale co‑founder Aakash Adasera; Aditya Sharma, a Google Pixel AI engineer; Animesh Singh Alang, a UCSC AI researcher and founder of Rizzy; Prof. Navrati Saxena, a globally recognized expert in AI, 5G, IoT and next‑gen communications; and Lesya Hendrix, developer of autonomous systems for Earth and lunar construction, with experience in Tesla, Nuro, Scania and frontier tech.
"We didn't do any LLMs. There is significant interest in that. There are lots of people trying those ideas out, but I think they're still in the exploratory phase," Desai told El Reg. As it turned out, the researchers didn't need them. "We used a simpler model called a variational auto encoder (VAE). This model was established in 2013. It's one of the early generative models," Desai said.
Presenters include SellScale cofounder Aakash Adasera; Aditya Sharma, a Google Pixel AI engineer; Animesh Singh Alang, a UCSC AI researcher and founder of Rizzy; Prof. Navrati Saxena, a globally recognized expert in AI, 5G, IoT and nextgen communications; and Lesya Hendrix, developer of autonomous systems for Earth and lunar construction, with experience in Tesla, Nuro, Scania and frontier tech. The symposium is set for 3-5 p.m. at the library, located at 10800 Torre Ave.
The idea of machines that can build even better machines sounds like sci-fi, but the concept is becoming a reality as companies like Cadence tap into generative AI to design and validate next-gen processors that also use AI. In the early days of integrated circuits, chips were designed by hand. In the more than half a century since then, semiconductors have grown so complex and their physical features so small that it's only possible to design chips using other chips.
Each summer, the University of California, Berkeley's College of Environmental Design (CED) becomes an intensive laboratory for architectural, landscape, and urban exploration. Through two complementary programs-Design + Innovation for Sustainable Cities (DISC) and the Summer Institutes-Berkeley offers an immersive curriculum grounded in disciplinary rigor, intentional exchange, and a shared institutional culture. Together, these programs reflect CED's long-standing multidisciplinary structure, with architecture, landscape architecture, city planning, and urban design thriving and collaborating under one roof.
Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance along curved surfaces. While working on one theorem, they ran into an unexpected roadblock: Their argument depended on a strange formula from number theory, but they were unable to solve or justify it. In the end, Chen and Gendron wrote a paper presenting their idea as a conjecture, rather than a theorem.
AI labs just can't get their employees to stay put. Yesterday's big AI news was the abrupt and seemingly acrimonious departure of three top executives at Mira Murati's Thinking Machines lab. All three were quickly snapped up by OpenAI, and now it seems they won't be the last to leave. Alex Heath is reporting that two more employees are expected to leave for OpenAI in the next few weeks.
