OpenAI expanded its Daybreak cybersecurity program on Monday with two access tiers and a new AI model built for security researchers, as the company argues defenders face a narrowing window to prepare before attackers deploy AI at scale. The program now includes Daybreak Blue and Daybreak Red. Daybreak Blue gives approved users access to GPT-5.6 Sol with system-level cybersecurity guardrails removed, supporting defensive work such as vulnerability discovery, malware analysis, incident response, and patch validation, the company said. Daybreak Red goes further, giving participants access to models trained specifically for cybersecurity work, covering exploit validation, vulnerability research, and security testing, the company said. OpenAI also introduced GPT-5.6-Cyber, a new model available exclusively through Daybreak Red. Built on GPT-5.6 Sol, the model targets cybersecurity-specific use cases and is designed to respond to higher-risk requests that standard safeguards would otherwise block, the company said. In an internal evaluation, GPT-5.6-Cyber handled 95% of advanced cybersecurity prompts — covering scenarios such as exploit-chain development, authentication bypass, and privilege escalation — while GPT-5.6 Sol with its default protections answered just 1.5%, and the Daybreak Blue variant answered 2%.
Thursday, August 20, 2026
Anthropic is embedding invisible watermarks in Claude text and images - Cris Tolomia, Quartz
Anthropic is adding machine-readable marks to text and images generated by its Claude models, a step toward complying with E.U. rules requiring AI companies to label AI-produced content. The markings are imperceptible to the human eye but enable people and platforms to identify when content has been produced by Claude. The company uses two methods. Text generated by supported Claude models carries an embedded watermark that Anthropic says travels with the content if users copy and paste it and may hold up through some degree of editing. For files such as .png, .jpg, and .svg images, Anthropic is applying signed provenance metadata using the C2PA open standard, which is also used by Adobe $ADBE -3.05%, OpenAI, and Google $GOOGL -0.54%, according to The Verge.
https://qz.com/anthropic-claude-watermarks-ai-generated-text-images-081126
Wednesday, August 19, 2026
Focus on the Quantum Future - Ray Schroeder, Inside Higher Ed
While artificial general intelligence and artificial super intelligence will mark significant improvements in AI algorithms, there is not a single clear definition of either of these terms. Therefore, some experts believe that we have already achieved AGI and that ASI is just a year or two away; others say it will be the middle of the century before either is achieved. So, without minimizing the impact of any of the steps toward general and super intelligence, I think we are better served by focusing on more solidly defined steps in AI advancement. That brings us to what may become a pivotal stage of development in AI, the use of stable quantum computing to accelerate and extend the potential of algorithms.
Tuskegee University Awarded Nearly $700,000 NSF Grant to Advance Trustworthy Artificial Intelligence in Healthcare - Brittney Dabney, Tuskegee University
Tuskegee University has been awarded a $699,999 research grant from the U.S. National Science Foundation (NSF) to advance the development of trustworthy artificial intelligence (AI) for healthcare through a three-year research initiative focused on improving the safety, transparency, and reliability of AI-assisted medical technologies. The project, titled "Excellence in Research: Trustworthy AI for Healthcare: Evidence-Grounded, Compliant, Human-in-the-Loop," is housed within the Department of Computer Science in the Andrew F. Brimmer College of Business and Information Science.
Tuesday, August 18, 2026
AI-Enabled Ghost Student Fraud: How IT Leaders Are Fighting Back - Adam Stone, EdTech
Generative artificial intelligence is fueling a surge in ghost student fraud. Learn how layered identity verification, behavioral analytics and AI-driven pattern detection help higher ed IT leaders stop fraud rings before disbursement. First, there was the zombie college scam. Now it’s “ghost students,” bad actors leveraging artificial intelligence to create fake identities and enroll imaginary students to scoop up grants and loans. AI tools now allow synthetic identities to mimic genuine student behavior long enough to collect financial aid disbursements, and traditional enrollment systems are falling short. The schemes are costing the U.S. taxpayers hundreds of millions of dollars in siphoned-off federal financial aid packages
How AI Actually works - Cris Tolomia, Quartz
This piece is not about whether AI is good or bad. It's about what it actually is: how it learns, how it generates output, where its failures come from, and why the problems that afflict these systems are structural rather than incidental. Understanding these things won't make you a machine learning engineer. It will make you a sharper reader of AI coverage, a more careful user of AI tools, and a better judge of claims made by the companies building them. The 15 concepts here cover the full chain — from how models are trained to why they hallucinate, from what "parameters" actually means to why the alignment problem is harder than it looks. Some of these ideas are technical but not complicated. Others are philosophical but grounded in real engineering decisions. All of them matter if you want to engage honestly with the technology reshaping how work gets done, how content is made, and how decisions are reached in medicine, law, finance, and government.
Monday, August 17, 2026
Building expertise in the age of AI: Who trains the next generation? - Bryan Hancock, McKinsey
For decades, organizations have relied on early-career talent to do the routine, lower-risk work that supports the business and to serve as a training ground for future leaders. Think of Peggy Olson’s trajectory on Mad Men, from novice assistant to Don Draper’s protégé to confident copy chief at an advertising agency—a climb that began because routine work kept her in the room where judgment was practiced, and where her own could be noticed. In real life, advances in automation and AI are changing the composition of entry-level work itself. Tasks such as research, documentation, data cleanup, basic coding, and preliminary analysis are being streamlined or absorbed into AI systems. These are precisely the activities through which young employees have traditionally built instincts, developed judgment, and earned the right to take on more. At the same time, fears are growing about the impact of AI on jobs. In the 2025 Women in the Workplace report by McKinsey and LeanIn.Org, entry-level workers, particularly women, reported feeling the most worried of all age groups about how AI use will affect their jobs.
Engineers build world's first portable diamond-powered quantum computer — it works at room temperature and can be plugged into an outlet - Tristan Greene, Live Science
A German startup has debuted the world's first diamond-based quantum computing system to exceed 10 qubits. The machine, built by engineers at Saxon Q, is a nitrogen-vacancy (NV) quantum computer, meaning it uses defects in synthetic diamonds as quantum bits (qubits) to perform quantum operations. Qubits can be manipulated to represent the 0s and 1s of data, as well as quantum states that are superpositions of both the 0s and the 1s. The hardware is currently available in rack-mounted systems featuring up to 128 qubits, with 512-qubit configurations available for delivery next year. According to the company's road map, the goal is to scale to 10,000 qubits and beyond after 2030.
Sunday, August 16, 2026
Microsoft's latest quantum chip is 1,000 times more reliable than its predecessor — but why is it so controversial? - Keumars Afifi-Sabet, Live Science
Microsoft has revealed a new quantum computing chip with quantum bits (qubits) it says are capable of maintaining their quantum state for 1,000 times longer than its predecessor — paving the way for more reliable quantum computers by 2029. But not all scientists believe the company's claims. The experimental quantum processing unit (QPU), dubbed Majorana 2, features a four-qubit array that offers a reported mean qubit lifetime of 20 seconds and, in some instances, up to a minute. This is a massive improvement in quantum coherence times — the time that qubits are entangled so that calculations can run in parallel — typically seen in QPUs. Normally, this lifetime is measured in milliseconds (thousandths of a second). The new chip could put scientists on the path to building a quantum computer that's commercially viable by 2029 — halving the timespan researchers initially expected — Microsoft representatives said in a statement.
Employers everywhere are using AI – but business schools aren’t preparing students for the shift -Murugan Anandarajan, Stacy Kline, the Conversation
Artificial Intelligence has become part of routine business operations, as employers across most industries use AI for tasks ranging from drafting emails to answering customers’ calls. We are business professors at Drexel University who have spent the past year examining how AI is changing both the workplace and higher education. Much of the conversation in business education to date has centered on helping students learn how to use AI responsibly and effectively. Even so, our recent findings show that other qualities and skills still matter. This is especially true when it comes to helping entry-level workers succeed and advance in their careers.
Saturday, August 15, 2026
USC pushes to expand AI research with $200 million gift - Guarav Sukhatme, Stevens School of Computation and Artificial Intelligence
Universities everywhere have been struggling to figure out how AI fits into higher education. Is using these tools an essential skill or a shortcut that hinders learning? And can universities still even matter in AI research, when the frontier is moving so fast and requires resources only the world's richest companies can muster? The University of Southern California is betting more than $200 million on the question. With a grant from a venture capitalist alumnus, the school is reinventing its curriculum, recruiting researchers, and expanding AI education beyond engineering and computer science.
How to make your academic work visible to AI - Darshan Vigneswaran, Times Higher Education
Here is the brutal truth about AI discoverability: it is not replacing citation metrics. It is layering itself on top of them. So, work that is already cited, circulated and sitting inside recognisable debates is likely to become even more visible. The rich get richer, now with a chatbot assistant. If Google Scholar sometimes buries obscure work, AI tools might simply forget it was ever born. This is grim news for anyone who believes good research should glow naturally in the dark. It does not. Visibility is not a moral reward for intellectual virtue. It is a distribution problem.
Friday, August 14, 2026
AI is changing the classroom. Here's what students and parents need to know this school year - MCEC, University of South Carolina
AI is changing how students interact with course material and how educators design assignments and assessments, raising ongoing questions about academic integrity, digital literacy and responsible use.In a recent interview with WLTX, University of South Carolina Computer Science Assistant Professor Ramtin Zand discussed how AI is reshaping education and how students, educators and parents are adapting. He noted that as AI tools become more widely available in classrooms and everyday learning platforms, they should be viewed as learning aids that support instruction rather than replace core academic skills.
How an AI-integrated anonymous chatroom boosted AI literacy and inclusion - Fridolin Ting, Times Higher Ed
Two hot topics in higher education right now – embedding AI literacy in course design and designing inclusive learning environments – are often treated as separate problems with separate fixes. But they don’t have to be. The right AI tool, used the right way, can help with both issues at once – as a side effect of how students use it, rather than an extra unit bolted on to the syllabus. For the past two years, we’ve been developing YoChatGPT!, a platform that lets a class share a single live chatroom integrated with large language models, instead of each student opening a private chat on their own device. That one design choice – putting AI to use in public, in front of peers – turns out to do useful work on both fronts.
Subscribe to:
Posts (Atom)