Seller of the Sound Blaster Katana V2X doesn't consider the behavior a vulnerability.
Geoff Keighley’s annual June celebration of games is here. Summer Game Fest Live, the big live show that will feature a whole bunch of gaming news and announcements, begins at 5PM ET and is set to run for two hours. The event itself will take place in person at the Dolby Theatre in Los Angeles, […]
IBM and two of its subsidiary companies were allegedly breached during the mid-2010s, which a lawsuit filed by a former cybersecurity executive accuses IBM of not disclosing and actively covering up.
One thing I've been wondering lately: We often talk about larger context windows as if they're equivalent to better understanding. But in practice those feel like different problems. Access to information keeps improving. Understanding relationships between pieces of information still feels much harder. I notice this most when working with larger software projects. You can give a model access to a huge amount of code, but that doesn't necessarily mean it understands how the system evolved, which components are tightly coupled, or where risk actually lives. Curious whether others think these are fundamentally different problems or if larger context eventually solves both. Been exploring this while working on RepoWise: https://github.com/repowise-dev/repowise submitted by /u/Icy-Roll-4044 [link] [留言]
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Hello everyone, PHP comes up here from time to time, and I've noticed the discussion is usually based on what the language looked like 5+ years ago. Since I work with it every day and have genuinely come to enjoy it, I wrote a short article recapping where it actually stands today. It covers modern deployment (FrankenPHP, Docker), software architecture (modular monoliths, the Symfony kernel, agents), the type system and its tooling (PHPStan, PHP CS Fixer), and the state of concurrency (ReactPHP, Swoole, the True Async RFC). Full article: https://morice.live/posts/your-next-project-will-run-on-php/ Let me know if I missed anything, or if you'd like me to go deeper on a specific topic! submitted by /u/andre_ange_marcel [link] [留言]
Most explanations of TPUs and systolic arrays are either hand-wavy diagrams or papers. I wanted to see the thing actually run, so I built it. TinyTPU is a 4×4 weight-stationary systolic array in real SystemVerilog, compiled to WebAssembly, with a step-by-step browser visualization. You enter two matrices, hit run, and watch the actual hardware execute: weights loading into PEs, matrix A streaming in diagonally (the "skew" that makes systolic arrays work), partial sums accumulating down the grid, results draining from the bottom. It has three levels: L1 - isolate a single MAC cell, watch one multiply-accumulate happen L2 - the full 4×4 array executing a real matmul L3 - tiling: what happens when your matrix is bigger than the hardware Nothing on screen is faked. The visualization reads state directly from compiled RTL. If you're trying to understand how matrix multiply maps to hardware why TPUs are efficient, what "weight-stationary" actually means, why the diagonal stagger exists this might click it for you in a way papers don't. Repo: tiny-tpu Live demo: Live If this project interests you please do star the repo, if you find something needs improving open a PR, I hope ya'll check this out and give me some feedback 🙏 submitted by /u/Horror-Flamingo-2150 [link] [留言]
submitted by /u/ComicSandsNews [link] [留言]
Applications for Startup Battlefield 200 officially close on June 8, 11:59 p.m. PT. Don't wait any longer. Secure your shot at competing on the Disrupt Stage at TechCrunch Disrupt 2026 this October at San Francisco's Moscone West.
I ran a small experiment on myself and the result broke my mental model of how AI "knows" things, so I'm sharing it. The setup: on May 11 I created a brand-new pseudonymous fantasy author entity ("Marin T. Kael") with no prior web footprint and no published book yet. Then I asked 5 web-connected AI systems the same 16 questions, every day, for 23 days, and scored every answer (+1 correct/source-grounded, 0 not found, -1 hallucinated). About 16,000 scored datapoints. The whole thing was pre-registered before I started, n=1, and I logged the failures publicly. It's a measurement, not a success story. Here's the part that messed with my head. An AI cited the entity correctly on day 6. Google had a Knowledge Graph entry by day 4. And for 22 of those 23 days, the website's firewall was returning HTTP 403 to every single AI crawler. I didn't set that block on purpose — Cloudflare now silently opts new domains out of AI crawling by default. So the AIs never read the site. They got the entity anyway, by stitching it together from the Knowledge Graph (Wikidata) and third-party mentions at the moment you ask. The "front door" was bolted shut the entire time and it didn't matter. (Honest caveat: because the crawlers were blocked, I can't tell you anything about llms.txt or on-site optimization.) Other surprises: it's not a "smarter model = better" story, it's a retrieval story. OpenAI's newest web model hit 4.7 correct per 1 hallucinated; Gemini went net-negative — and grounded on the entity ONLY via Reddit (17/17), while OpenAI hit the entity's own domain 119x. Going viral did nothing: a 23x Reddit-karma jump produced zero citation lift. Structured identity (Wikidata, site, DOIs) moved the needle; reach didn't. And the controls caught the models fabricating a "Wikipedia" source 24 times for an entity with no Wikipedia page. n=1 with me as investigator and subject is the obvious limit — which is why it's pre-registered with a public failure log. Everything's open: Report + dat
I’ve been noticing a clear split lately. The big mainstream models are getting more and more restricted with heavy safety rules, while at the same time more people are switching to local or less restricted models because they actually let you explore ideas freely. It feels like we’re heading toward two different types of AI: one that’s heavily controlled and "safe", and another that’s more open and unrestricted. Both seem to be growing at the same time. Do you think this divide will continue, or will one side eventually become dominant? submitted by /u/NoFilterGPT [link] [留言]