The week’s AI news, one entry per event. Stories rank higher when more independent outlets report them, when they are squarely about AI, and when they are recent.
Universities need to protect their position in education so that students have an independent pathway to employment AI companies like OpenAI are insinuating themselves into the pathway from education to work. Soon they may claim it entirely, a disastrous resul
In an interview with TechCrunch, Al Gore suggested he isn't losing sleep over AI data center emissions — he's more worried about the AI industry's own warnings about where the technology is headed.
Planned 2029 debut could make this Apple’s first enterprise server in decades.
Even with mounting concerns about AI models going rogue, legislation appears unlikely, and the White House is outright opposed to oversight.
E-waste from the AI boom has been vastly underestimated, a new report warns. By 2050, it could become enough trash to fill 23 million shipping containers - roughly enough 40-foot containers to circle the world six times if lined up in a row. It's a significant
MSPs vote for strict environmental impact assessments and will delay decisions until national strategy is developed Holyrood has voted to pause planning applications for all new AI datacentres for up to a year until the Scottish government has developed a nati
US vice-president’s comments come as former Anthropic researcher revisits recent claim AI could destroy humanity The US vice-president has dismissed calls for global regulation of AI safety risks, telling companies creating the most advanced models: “If you’re
Sam Altman and other tech CEOs say there are incentives to limit advancements in AI, as fears grow over the threats it poses to humanity.
Trump and Republicans want companies to regulate themselves. It’s a dereliction of duty that will make AI less safe It is hard to get Sam Altman, Elon Musk and Dario Amodei to agree on much. But over the weekend, all three AI company CEOs called for AI develop
The US and China agree that advanced AI poses serious risks. But Beijing is deeply skeptical of a deal that prioritizes keeping US companies ahead.
A new creature-catching adventure is ready to stream from the cloud this week. Pawprint Studio’s Aniimo arrives on GeForce NOW at launch, inviting gamers to explore the vibrant continent of Idyll across supported devices. Also this week, 007 First Light receiv
Cooley built GO Public with ChatGPT Work to bring intelligence to the IPO process, helping lawyers surface issues earlier and focus judgment where it matters most.
(I began writing this post several weeks ago, but political events are moving much faster than I expected, so I am publishing now out of fear that otherwise the message will arrive too late to have an impact.) I In this post I want to explain a concept, and is
Integrate NVIDIA Resiliency Extension (NVRx) into PyTorch FSDP training on Amazon EKS to overlap checkpoint I/O with training and recover from GPU faults in seconds. This post covers async checkpointing, in-process restart, and ft_launcher in-job restart, with
AWS Machine Learning Blog
Apple is reportedly building a server powered by M-series Ultra chips for AI workloads with a planned 2029 debut, and is planning to re-enter server manufacturing.
I can't find any book, article, or trustworthy webcontent on the correct way of handling timeseries data for inputting it on a LSTM predictor. I did write code that first splits the first 80% of the data for training, and 20% for testing, then create windows i
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The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits aro
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Frontier-level AI runs everywhere, so attacks will never stop
Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem: each session starts from zero, discarding the configuration choices, domain constraints, data schemas, and tool-use patterns that made previous sessions prod
Diffusion large language models are a compelling alternative to autoregressive models, yet existing RL methods for diffusion treat all denoising steps as equally important and rely on biased, high-variance likelihood estimates. We identify two fundamental weak
Conversational Large Language Models are post-trained on language that expresses specific behavioural traits, such as curiosity, open-mindedness, and empathy, and values, such as helpfulness, harmlessness, and honesty. This is done to increase utility, ensure
AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA announced the launch of the AI Energy Management Alliance (A
Amazon is letting all customers use Alexa+ assistant in early access period.
New OpenAI Economic Research shows how workers use AI beyond traditional roles and which new activities become recurring parts of their work.
