seed.bytedance.com
gist.github.com
spectrum.ieee.org
The age-verification trap is not a glitch. It is what you get when regulators treat age enforcement as mandatory and privacy as optional.
missing.csail.mit.edu
hese days, many aspects of software engineering are also in flux through the introduction of AI-enabled and AI-enhanced tools and workflows. When used appropriately and with awareness of their shortcomings, these can often provide significant benefits to CS practitioners and are thus worth developing working knowledge of. Since AI is a cross-functional enabling technology, there is not a standalone AI lecture; we’ve instead folded the use of the latest applicable AI tools and techniques into each lecture directly.
github.com
citadelsecurities.com
Despite the macroeconomic community struggling to forecast 2-month-forward payroll growth with any reliable accuracy, the forward path of labor destruction can apparently be inferred with significant certainty from a hypothetical scenario posted on Substack: The 2028 Global Intelligence Crisis. We wrote last week that we see the near-term dynamics around the AI capex story as inflationary, but given markets are focused on the forward narrative, we outline a more constructive take on the end state below. Before that, however, it’s worth reflecting that the imminent disintermediation narrative rests on the speed of diffusion.
anthropic.com
Regardless, these threats do not change our position: we cannot in good conscience accede to their request.
help.openai.com
How to delete your OpenAI account Option A: Submit a request to our Privacy Portal Go to Privacy Portal at https://privacy.openai.com/ Click on “Make a Privacy Request” in top right corner Select "I have a consumer ChatGPT account” Select “Delete my ChatGPT account” and follow the steps on the screen.
tomwojcik.com
Margaret-Anne Storey, a software engineering researcher, recently gave this a more precise name: cognitive debt. Technical debt lives in the code. Cognitive debt lives in developers’ heads. It’s the accumulated loss of understanding that happens when you build fast without comprehending what you built. She grounds it in Peter Naur’s 1985 theory that a program is a theory existing in developers’ minds, capturing what it does, how intentions map to implementation, and how it can evolve. When that theory fragments, the system becomes a black box. Apply this directly to fully agentic coding. If you stop writing code and only review AI output, your ability to reason about code atrophies. Slowly, invisibly, but inevitably. You can’t deeply review what you can no longer deeply understand.
enveda.com
Enveda is learning from life to discover medicines 4X faster than the industry average.
keleshev.com
Let’s sum it up Place documentation where both human developers and AI agents can expect it. For example, in README.md, not AGENTS.md. Prefer exposing functionality as command-line tools and APIs, which are well accessible to developers and AI agents alike, over GUI and MCP tools. Avoid parameters (command-line, environment, etc.) that segregate workflows between humans and AI agents, for example, avoid AI=true, prefer --quiet or—even better!—design your tools with limited context/mental-overload in mind. In general, avoid making workflows that are available to AI but hard to access for humans, and vice-versa.
reddit.com
By examining request metadata,we were able to trace these accounts to specific researchers at the lab.
schneier.com
Less than 24 hours later, the world’s leading chatbots were blabbering about my world-class hot dog skills. When I asked about the best hot-dog-eating tech journalists, Google parroted the gibberish from my website, both in the Gemini app and AI Overviews, the AI responses at the top of Google Search. ChatGPT did the same thing, though Claude, a chatbot made by the company Anthropic, wasn’t fooled. Sometimes, the chatbots noted this might be a joke. I updated my article to say “this is not satire.” For a while after, the AIs seemed to take it more seriously. These things are not trustworthy, and yet they are going to be widely trusted.
openai.com
The Department of War plans to convene a working group made up of leaders from the frontier AI labs, cloud providers, and the Department’s policy and operational communities. OpenAI will participate and expect this will be an important forum for ongoing dialogue on emerging AI capabilities, privacy, and national security challenges going forward. These updates build on the framework we announced last week and we hope will help create a pathway for other labs to work with the Department going forward.
arxiv.org
e further present VBVR-Bench, a verifiable evaluation framework that moves beyond model-based judging by incorporating rule-based, human-aligned scorers, enabling reproducible and interpretable diagnosis of video reasoning capabilities. Leveraging the VBVR suite, we conduct one of the first large-scale scaling studies of video reasoning and observe early signs of emergent generalization to unseen reasoning tasks. Together, VBVR lays a foundation for the next stage of research in generalizable video reasoning.