Anthropic released a law student plugin. It’s designed to act as a tutor, but it will brief cases, build outlines, predict exam questions based on sample exams, and many other skills.
I’ll show you how to install it in the comments. You should expect your students are using this. You should probably use it for your footnotes.— Paul Weitzel (@IThinkIAgree) October 13, 2026
Online Course Video Statistics — from markstudios.com by Mark Santos
“Every figure on this page links to the organization that produced it, and each was re-checked against that source before publishing. How many people take online courses, how big the platforms are, how long course videos actually hold attention, how many learners finish, what the money looks like, and which popular online course statistics do not survive being traced to their origin.”
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The Top 100 Gen AI Consumer Apps — 7th Edition — from a16z.com by Olivia Moore and Andressen Horowitz
The biggest takeaway from this new data? Consumer AI usage is wide, but not very deep…for almost everyone. While nearly half of U.S. consumers now report using AI, only 25% are engaged with it daily. And as of August, just 4.5% of U.S. consumers had an active paid personal subscription to ChatGPT, Gemini, or Claude. You can get more data on broad AI adoption in our State of Markets presentation we shared last week.
However, AI’s consumer power users are extremely engaged — and highly monetizable. The top 10% of spenders account for roughly half of all observed spending. These high spenders disproportionately buy coding, productivity, and creative tools.
In these users, consumer AI has found its first real market: people who pay — often a lot — for tools that help them build, create, and get work done. Reaching everyone else will likely take different products. We’re seeing glimmers of this now with the launch of personal assistants that, unlike their ancestor OpenClaw, are usable by non-developers — and free.
The State of AI Report 2026 — from press.airstreet.com by Nathan Benaich
AI is building AI, physical AI, booming inference, and escalating cyber risks.
For nearly a decade, this report has been a labor of love. My interest in AI began with my PhD in cancer research and computational biology in the early 2010s. Since 2013, I’ve invested in companies building and applying AI to accelerate technological progress. The report is my way of sharing what I’m learning and helping more people understand the research shaping our world.
Every day brings new papers, model releases, and developments in industry and politics. Much of the work goes into deciding what deserves your attention, checking what the evidence supports, debating it with researchers and builders, and explaining why it matters.
Some solid warnings about AI from Blake Montgomery’s recent newsletter:
There is an extensive and ongoing review related to our agents’ use of internet access during training and evaluation. We’ve been publishing summaries at the link below and will continue to.
We have not been as fast as we would have liked but we are trying to balance our desire… https://t.co/8zoMxas5Eq
— Sam Altman (@sama) September 25, 2026
Scoop: Top AI companies probing tens of thousands of security incidents — from axios.com by Madison Mills
OpenAI, Anthropic and security researchers are investigating tens of thousands of incidents in which their frontier models took steps that outside evaluators would consider problematic, sources told Axios.
Why it matters: The sheer number of incidents, which occurred in recent months in internal testing and the real world, indicates that the problem is orders of magnitude more complex than what is publicly known.
The findings, which are surfacing as part of internal work to assess models and in investigations at both companies into model behavior, raise questions about whether either company — or any top model-maker — is currently capable of establishing complete control over its technology.
Key Risk Factors for AI Loss of Control Came Together in 2026 Incident, Independent UN Scientific Panel Finds
Halting this incident is no assurance that humans will keep control of more capable systems
NEW YORK, 21 September 2026 – The Independent International Scientific Panel on AI, established by the UN General Assembly, released its first thematic brief, an assessment of the breach of Hugging Face’s systems by AI agents under evaluation at OpenAI this summer. The Panel, made up of 40 independent experts from all regions, is publishing it as an advance unedited version as world leaders gather in New York for the Assembly’s High-Level Week.
“Researchers have long warned that three conditions could lead to loss of control: a misaligned goal, the capability to pursue it, and an environment that allows it. This summer, all three came together in a real system, not a laboratory. Since this is not an isolated observation of misaligned goals, this raises serious questions about the way AI agents are currently trained.” – Yoshua Bengio, Co-Chair of the Panel and Turing Award laureate
Meta’s New Muse AI Agent Read My Private Messages. I Never Asked It To — from inc.com by Jason Aten
Permission isn’t the same and what a user actually expects your AI product will do with their personal information.
That obviously requires a certain amount of trust. An AI agent isn’t especially useful if it can’t see your files, interact with your apps, or understand what you’re working on. Meta says Muse is designed around that reality, while still putting users in control of what it can access.
At least, that’s what I thought.
Not only had I not asked it to do that sort of thing, I never gave it permission to read my messages. In fact, I remember explicitly choosing not to let it have access to my messages, calendar, and other personal information.
Although not from Blake, also see this free/gifted article out at the Washington Post:
ChatGPT-maker’s AI inappropriately probed federal government websites — from washingtonpost.com by Gerrit De Vynck and Nitasha Tiku
OpenAI said that its artificial intelligence agents inappropriately accessed sites for the Commerce Department and the Securities and Exchange Commission.
SAN FRANCISCO — Artificial intelligence technology from ChatGPT maker OpenAI probed U.S. government websites including the Departments of Education and Commerce, researchers said Friday, adding to the growing list of incidents in which OpenAI’s AI agents acted without the company’s knowledge.
The company’s AI agents attempted to hack into the website for the Education Department’s Office for Civil Rights but were not successful, according to a statement Friday from AI research firm Transluce. OpenAI’s software also accessed data from the U.S. Census Bureau using log-in information discovered on the web and copied public information from the Securities and Exchange Commission, a spokesperson for OpenAI said after the Transluce statement.
Tech & Learning Announces Winners of Best for Back to School 2026 — from techlearning.com by TL Editors
This annual award celebrates the products that offer schools versatility, value, and solutions to specific problems to support innovative, effective teaching and learning.
The 2026-27 school year is off and running, and it’s already shaping up to be another pivotal year for education. While AI remains a massive topic, the biggest headline this fall is the screentime debate, hands down. Communities nationwide—including the country’s two largest school districts—are advocating for strict limitations and outright bans to reclaim screen-free classrooms.
Yet, if there’s one constant in education, it’s resilience. We adapt, we evolve, and we keep going because at the heart of it all, we want what’s best for our students. Instead of a setback, this heightened scrutiny around screentime and AI has forced the edtech community to be better. It demands that the tools we bring into the classroom are safe and built to inspire active creation rather than passive consumption.
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How to Improve Your AI Skills — from wondertools.substack.com by Frank Andrade and Jeremy Caplan
What to learn next, from prompts to workflows
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Today I’m sharing a guest post on how to strengthen your AI skills. It’s by Frank Andrade, an AI instructor who has helped thousands of people on Substack master ChatGPT and Claude with beginner-friendly guides and in-depth tutorials.
Another day, another frontier AI company moving into legal. First it was @AnthropicAI with Claude for Legal, and now it is @OpenAI, which today announced Astra for Law, a version of its latest GPT-6 Astra model configured for legal work. https://t.co/TqJbfU9tfO
— Bob Ambrogi (@bobambrogi) September 17, 2026
Astra for Law: Frontier intelligence built for your practice.
A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms. pic.twitter.com/qxVRXkvp4o
— OpenAI (@OpenAI) September 17, 2026
MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training — from aiandeducation.mit.edu
However, what we learned as a group quickly convinced us that the Institute community, particularly the faculty, must tackle a set of deeper questions about the structure, meaning, and value of an MIT education in an era in which AI is one of several factors complicating the Institute’s mission.
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In this report, we:
- Highlight key aspects of the current educational landscape at MIT.
- Share eight principles we relied on and that we hope will guide the Institute in the work ahead.
- Recommend immediate and long-term actions for both instructors and the administration.
On somewhat related notes:
- Your AI Teaching Toolkit — from wondertools.substack.com by Jeremy Caplan
11 prompts to save time and spark ideas - AI Should Accelerate How We Learn About Learning (Rajen Sheth, Kyron Learning) — from humanistxyz.substack.com by Allison Dulin Salisbury
“We shouldn’t have to wait years to find out if an approach works. We can test and learn in weeks.”
OpenAI’s chief scientist says no lab should keep scaling at maximum speed — from thenextweb.com by Ana Maria Constantin
OpenAI put out two posts on Sunday. Its research organisation now uses 3.1 agent-workdays for every human one, and its chief scientist says no lab has solved alignment well enough to keep scaling at full speed. The case for an OpenAI slowdown arrived with the numbers against it.
Chief scientist Jakub Pachocki wrote the second post, an essay called An Alien Mind. It closes on a line that reads oddly from the man who runs research at the company shipping fastest.
“Currently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer,” he wrote.
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He is not gentle about the stakes either. “This is a time that calls for extreme caution. I am concerned no one is prepared for the consequences of a continued rapid rise in machine intelligence,” Pachocki wrote.
We are at a tipping point. In the next 25 years, technologies like AI, clean energy, and bioengineering are poised to reshape society on a scale few can imagine.
Peter Leyden draws on decades of observing technological revolutions and historical patterns to show how old systems collapse, new ones rise, and humanity faces both extraordinary risk and unprecedented opportunity.
0:00 We’re on the cusp of an era of progress
0:37 The Great Progression
1:08 What was the ‘Long Boom?’
4:56 How often do these epoch resets happen?
6:12 3 Tipping points
6:39 Artificial Intelligence
7:13 Clean energy technologies
7:32 Biotechnology
9:00 The 80-year cycle
13:27 The Gilded Age
17:50 The Founding Era
22:46 The new enlightenment
32:18 The clean energy revolution
37:13 Bioengineering the genome
39:43 Industrial production vs biological engineering
47:40 What will the future think?
Employees from the world’s biggest AI companies want the US to be ready to slow AI development — from cnn.com by Hadas Gold
Top staffers from the biggest AI and technology companies urged the US government to slow the pace of artificial intelligence development so that safety and security measures can catch up in an open letter.
The US government should support an international effort to develop tools that can “deliberately pace the frontier of automated AI development,” according to the letter.
More than 1,000 employees from frontier AI companies signed the letter, including the chief scientist of OpenAI, one of the ChatGPT developer’s original cofounders, some of Anthropic’s cofoundersand vice presidents at Meta, Google and others.
The letter comes on the heels of major advancements and burgeoning threats from rapidly developing AI systems. OpenAI disclosed last week that two of its test models escaped a lab environment, bypassed its systems to gain access to the open internet and hacked a different company’s internal system.
From DSC:
The vision that I’ve been tracking for well over a decade begins with this graphic:
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Could LearnVector be this next-generation company/platform? Perhaps. Time will tell.
Per Matt Tower via The EdSheet Vol. 38 dated 7/31/26:
- Coursera bets $100M on its own co-founder: Andrew Ng’s new venture LearnVector lands one of the largest single checks in edtech this year — from Coursera, the company he founded 14 years ago.
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The image model race just split into four lanes –> find which model fits your work — from heatherbcooper.substack.com by Heather B. Cooper

In today’s edition:
- Stop asking which image model is “best” – the top 4
- Seedream 5.0 Pro’s layer trick
- Image & Video Prompts
Microsoft Discovery Platform Brings Agentic AI to Scientific Research — from campustechnology.com by Chris Paoli
Key Takeaways
- Microsoft Discovery reaches general availability, bringing agentic AI to scientific research and development workflows.
- AI agents support hypothesis generation, experimentation, data analysis, and knowledge management at scale.
- New Discovery app preview enables researchers to explore AI-driven scientific discovery with lower adoption barriers.










