AI & Tech Newsletter

New method enables AI for safety-critical situations

MIT researchers have developed a new technique that helps generative artificial intelligence models find solutions to high-stakes problems. In these settings, a plausible answer is not enough: The output often must also satisfy nonnegotiable safety, physical, or task-specific…

AI may be denting computer science graduates’ job prospects, UK data shows

Economics graduates also appear to be affected as demand for them falls in well-paid roles in finance AI may be warping the job prospects for students in the previously high-demand subjects of computer science and economics, according to a detailed look into the careers of…

Roundtables: Could AI really kill us all?

Employees at the world’s leading AI labs are saying there’s a real possibility that advanced AI could destroy humanity. Are they right? Or is this more scaremongering and hype? Join MIT Technology Review executive editor Niall Firth for a conversation with senior AI editor Will…

A misalignment of AI in mathematics

https://terrytao.wordpress.com/2026/09/11/a-severe-misalignm... https://www.economist.com/science-and-technology/2026/09/11/..., https://unwall.app/www.economist.com/science-and-technology/...

Why So Many AI Researchers Think the Machines Could Kill Everyone

A combination of rapid advances, recursive self-improvement, and agentic swarms are genuinely “spooking people” inside big labs.

datasette-publish-fly 1.4

Release: datasette-publish-fly 1.4 Sets force_https=true in fly.toml. #31 Fix for Volume could not be found bug. #32 Compatible with app-scoped deploy tokens. #34 Tags: datasette, fly

Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering

Evaluating video captioning remains a critical challenge for Visual Large Language Models (VLLMs). Existing metrics primarily rely on matching generated text against ground-truth references. This paradigm suffers from the “one-to-many” nature of video description, where…

DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation

Sign language processing systems have traditionally operated at the sentence level, ignoring critical discourse phenomena fundamental to sign language comprehension. We introduce DiscoSign, a computational approach for discourse-aware text to sign language gloss translation…

ToolGrad: Efficient tool-use dataset generation with textual "gradients"

Machine Intelligence

MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines

This summer, the MIT Schwarzman College of Computing welcomed faculty from colleges and universities across Greater Boston, South Carolina, West Virginia, and Texas to campus for the inaugural AI Educators Pilot, a weeklong workshop aimed at expanding how artificial intelligence…

IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

OpenAI expands initiatives to support journalism from classrooms to newsrooms

OpenAI is expanding support for journalism with tools, training, and partnerships for students, educators, journalists, and news organizations.

Supporting independent journalism in Ukraine

OpenAI, AIRPPU and WAN-IFRA launch an AI program to help Ukrainian news organizations strengthen innovation, resilience, and independent journalism.

Transfer learning for genomic prediction in underrepresented populations

General Science

A connectomics milestone: Mapping the complete male fruit fly brain

General Science

GPT-6 Astra: A new generation of intelligence

Introducing GPT-6 Astra, our most intelligent and aligned model yet, with state-of-the-art capabilities across computer use, coding, cybersecurity, and science.

From MIT to IBM, expediting AI and quantum deployment

The experience of transitioning from research based in theory to focusing on real-world application can vary significantly for different researchers. However, for two former MIT graduate students and a former postdoc, all now at IBM, working with the MIT-IBM Computing Research…

System helps humans predict when self-driving cars will make mistakes

Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of an oncoming emergency vehicle. A human driver or passenger may need to react rapidly to prevent a…

REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs

Most current vision-language-action (VLA) models—such as OpenVLA, π0, RT-2, and RDT-1B—are “monolithic.” This means they generate raw motor commands or very short sequences of actions, without organizing behaviors into reusable, well-defined abstractions. As a result, these…

Mapping global methane emissions from space with deep learning

Climate & Sustainability

TimesFM-3: A zero-shot foundation model for multivariate forecasting

Data Management

LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic Beliefs

Modern AI systems are being deployed in complex domains such as medicine, science, and law, where there is often not a single correct answer given the observed evidence. Such systems must be able to represent and update uncertain beliefs about the world as new evidence arrives…

Agent Seer: Synthesizing Scenarios from Specification Understanding

Evaluating AI agents that use external tools requires realistic test scenarios that capture how practitioners compose tools and iterate across conversation turns. Constructing such scenarios by hand demands deep domain expertise, does not scale across tool ecosystems, and…

Planetary prediction engine: Automating global models via Earth AI

Earth AI