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US govt seeks Instructure testimony on massive Canvas cyberattack

The U.S. House Committee on Homeland Security is calling on Instructure executives to testify about two cyberattacks by the ShinyHunters extortion group that targeted the company’s Canvas platform, allowing threat actors to steal student data and disrupt schools during final exams.

In a letter sent Monday afternoon to Instructure CEO Steve Daly, Homeland Security Committee Chairman Andrew R. Garbarino said the committee is investigating the massive breach at Instructure that impacts millions of students.

“The Committee on Homeland Security (Committee) is investigating the concerning reports related to recent cybersecurity incidents affecting Instructure Holdings, Inc. and the tens of millions of students, educators, and administrators who rely on its Canvas learning management platform,” reads the letter.

Signal adds security warnings for social engineering, phishing attacks

Signal has introduced new in-app confirmations and warning messages as additional safeguards against phishing and social engineering attempts that could lead to various forms of fraud.

The purpose is to introduce enough friction that users get the time to evaluate the safety of an external request.

Recently, there have been attacks targeting high-profile users with bogus ‘Signal Support’ alerts, as highlighted by the FBI, the Dutch government, and the German authorities.

Microsoft releases Windows 10 KB5087544 extended security update

Microsoft has released the Windows 10 KB5087544 extended security update to fix the May 2026 Patch Tuesday vulnerabilities and resolve an issue with the new Remote Desktop warnings.

If you are running Windows 10 Enterprise LTSC or are enrolled in the ESU program, you can install this update like normal by going into Settings, clicking on Windows Update, and manually performing a ’Check for Updates.’

After installing this update, Windows 10 will be updated to build 19045.7291, and Windows 10 Enterprise LTSC 2021 will be updated to build 19044.7291.

Popular PlayStation emulator clamps down on AI submissions: ‘Leave behind something useful to humanity when you’re gone, instead of peddling slop’

In response to questions (and more than a little AI evangelist bellyaching), the devs pointed out that it is not the use of AI code in PRs that is the issue for them, but that it is undisclosed. “We won’t ban if disclosed, except for abuse cases, e.g. throwing a lot of random slop at us to see what passes reviews. Hint: programmers that can understand the problem, the solution, and the implementation can write the same code without AI, and tend to use LLMs to automate repetitive code refactoring instead. It is not the case with the AI slop PRs we have seen.”

The final result is a new set of hard-and-fast rules about AI code right there on RPCS3’s GitHub repo: “Use of AI tools for research and reverse engineering purposes is permitted. However, contributors are expected to fully own and understand all code they submit. Any communication with the team—including code, code comments, and GitHub comments—must come from the human contributor, not an AI agent acting autonomously.”

Back on X, the team signed off with a final message: “As for all the AI bros seething on our socials, we’re simply blocking you. Learn how to debug, code, and leave behind something useful to humanity when you’re gone, instead of peddling slop.”

How Unknowable Math Can Help Hide Secrets

Perhaps the most famous example comes from a theorem by the logician Kurt Gödel’s celebrated result — one of two “incompleteness theorems” he published in 1931 — established that for any reasonable set of basic mathematical assumptions, called axioms, it’s impossible to prove that the axioms won’t eventually lead to contradictions. Though mathematicians continued their research much as they had before, they would never again be certain that their rules were self-consistent.

More than 50 years after Gödel’s theorem, cryptographers devised a radical new proof method in which unknowability played a very different role. Proofs based on this technique, called zero-knowledge proofs, can convince even the most skeptical audience that a statement is true without revealing why it’s true.

These two flavors of unknowability, which originated decades apart and in different fields, were long considered completely unrelated. Now the computer scientist Rahul Ilango (opens a new tab) has established a striking connection (opens a new tab) between them. While still a graduate student, he devised a new type of zero-knowledge proof in which secrecy stems from the fundamental limits of math. Ilango’s approach gets around limitations of zero-knowledge proofs that researchers have long thought insurmountable, pushing the boundaries of what such a proof can be. The work has also spurred researchers to explore other intriguing links between mathematical logic and cryptography.

New documentary asks if we are doomed by AI

“The AI Doc: Or How I Became an Apocaloptimist” is a new documentary exploring the future of Artificial Intelligence and its impact on humanity. NBC News’ Gadi Schwartz spoke with co-founder of the Center for Humane Technology, Tristan Harris, about the documentary and how to navigate overwhelming dread with tech optimism.

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Stanford CS336: Language Modeling from Scratch

This course is designed to provide students with a comprehensive understanding of language models by walking them through the entire process of developing their own.

Drawing inspiration from operating systems courses that create an entire operating system from scratch, we will lead students through every aspect of language model creation, including data collection and cleansing for pre-training, transformer model construction, model training, and evaluation before deployment.

For more information about Stanford’s online Artificial Intelligence programs, visit: https://stanford.io/ai.

Learn course details: https://online.stanford.edu/courses/cs336-language-modeling-scratch.

Visit the course website: https://cs336.stanford.edu/

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