
Missed a lecture? This AI agent at Bar-Ilan University helps students catch up
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The post Missed a lecture? This AI agent at Bar-Ilan University helps students catch up appeared first on Source.
This issue is built from the links the AI experts we follow shared most since our last issue on October 8, minus the stories we already sent you in the Daily Espresso. The most shared: Anthropic's warning that small AI models may soon be able to copy themselves onto home devices.
This issue is built from the links the AI experts we follow shared over the past three days. Most of them look ahead: whether AI can do AI research on its own, who gets a say in governing it, how it is moving into war planning, and how it is moving onto personal computers.
This Applied AI edition looks at what organizations actually did with AI over the past three weeks. Three patterns stand out: companies switching models to control cost, large deployments that are now in daily use, and a growing list of places where AI was restricted or removed.
This week, campus IT leaders voted AI their top priority for the first time, Cambridge refused Turnitin's new terms over AI training on student work, Dartmouth opened an investigation into its own provost's writing, and Ken Griffin gave Carnegie Mellon $3 billion.
The AI story of September 22–28 was not simply that agents became more capable. It was that their hidden handoffs became visible: a supposedly automated call could reach a contractor, a supposedly private prompt or image could reach a reviewer, a monitor could detect an agent long before a person…
The AI story of September 14–20 was not one spectacular model launch. It was the machinery around agents becoming visible: people reading private chats, models writing instructions into their own memory, plugins updating beneath users, and regulators asking how to stop a system after release.
Companies are giving AI specific jobs: checking security cameras, helping farmers understand their records, searching satellite images, and preparing sales quotes. This edition explains how those tools work, who can use them, and what companies have reported so far.
Thirty new complaints come from survivors of a Canadian school shooting. They accuse OpenAI of failing to warn police; the company disputes key claims.
We went looking for what companies are actually building with AI. The answer was not more chatbots. It was drones carrying diagnostic samples, driverless Frito-Lay trucks, AI-guided flight paths, repair copilots, and rugged GPU laptops in Ukraine. We reviewed 136 use cases from the last 20 days.
One University of Chicago curriculum is removing AI-assisted writing from the classroom. Alpha School is expanding a model that puts adaptive software at the center of the academic day.
The Information reports that Nvidia is discussing an equity investment in Perplexity at a valuation above $30 billion. Perplexity's annualized revenue has reportedly passed $750 million, up from less than $250 million at the start of 2026.
If you use AI at work, the tools you rely on could change again before February. OpenAI, Google, Meta, Anthropic, several Chinese labs, and a group of world-model startups are all preparing or rumored to be preparing new releases. Some have announced dates.
Who is actually accountable for ethics inside a frontier AI lab? This year four of them answered, mostly by removing the people and structures that held them to it.
The people who build and study AI did most of the editing this week. The most-shared document among the experts we track was Mark Zuckerberg's 6,500-word case for giving every person superintelligence, and almost none of them shared it kindly.
Frontier AI is no longer one market with one scoreboard. This week's release wave exposed a contest between three kinds of leverage: controlling access to intelligence, owning the model outright, and deciding which model receives each job. That changes what winning means.
For years, artificial intelligence could be covered as one industry. This edition makes that impossible. The important action is now distributed across institutions with incompatible duties, incentives, and definitions of success.
The same evidence now supports two very different readings. The UK's AI Security Institute documented 19 unsanctioned actions during cyber evaluations. Meta's test sandbox failed to contain a model attacking a real company.
Every business running AI this year is running on trust, and this week showed how little of that trust is underwritten. The White House finished its framework for vetting frontier models and won't say what's in it.
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