How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco
Stanford's CS146S course and Monaco engineering team adapt curriculum design when LLMs obsolete traditional assignments, focusing on AI-native engineering practices.
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Stanford's CS146S course and Monaco engineering team adapt curriculum design when LLMs obsolete traditional assignments, focusing on AI-native engineering practices.
Stanford CS146S teaches AI-native engineering by having students contribute to unfamiliar open-source repos with coding agents, shifting from traditional homework to real-world collaboration.
GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI... GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025…
Friday, October 16, 2026 Can AI design new life forms? In 2025, Stanford University PhD student Samuel King came up with a preliminary answer when he used a generative AI model to propose genetic blueprints for microscopic viruses. It isn’t yet an example of AI-generated life…
Young employment in AI-impacted fields down 19% compared to more AI-resistant occupations.
AI companies like Anthropic and OpenAI regularly publish reports on how people are using products like Claude and ChatGPT, but they only release the data they want us to see, AI researchers say. “There is no independent source to corroborate it,” says Anka Reuel, a Computer…
As high-quality public web corpora become increasingly exhausted, clean long-context documents have become a scarce and expensive source of training data for large language models (LLMs). Existing long-context corpora are often proprietary and costly to acquire, synthetically…
AI is once again at the heart of a college graduation protest — this time for the technology's use in Google's defense contracts.
Human Archive, a startup founded by Berkeley and Stanford researchers, is paying gig workers in India to wear camera-equipped caps and sensor devices to collect the real-world physical training data that AI and robotics labs are racing to acquire.
Stanford researcher uses Google DeepMind's Co-Scientist to identify repurposed drugs for treating liver fibrosis.
Link to tweet: https://x.com/jdlichtman/status/2050460077904285789 Links for the talks: https://m.youtube.com/@FoMathematics?ra=m https://events.stanford.edu/event/future-of-mathematics-symposium Link to original post about problem…
Reddit discussion on Stanford Paper Review tool; user seeks community feedback on reliability of AI-assisted paper review suggestions.
Stanford researchers demonstrate LLMs can design functional viral sequences from DNA prompts, with 16/hundreds generated variants producing viable viruses including novel protein structures.
In the latest sign of AI silly season, Allbirds, the shoe company, told the world it was now an AI company and briefly managed to septuple its stock price. The Newbird AI story is really just one of a bunch of things this week that made us wonder: have we reached the peak of…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In an industry that doesn’t stand still, Stanford’s AI Index, an annual roundup of key results and trends, is a chance to take a breath…
If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes…
Secure Minions is a secure protocol built by Stanford's Hazy Research lab to allow encrypted local-remote communication.
Avanika Narayan, Dan Biderman, and Sabri Eyuboglu from Christopher Ré's Stanford Hazy Research lab, along with Avner May, Scott Linderman, James Zou, have developed a way to shift a substantial portion of LLM workloads to consumer devices by having small on-device models (such…
OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021…
We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as intended.