AI 资讯

Microsoft’s AI products aren’t selling and Github’s been plagued with troubles. WIRED spoke with VP Scott Hanselman about whether the company is in catch-up mode.

"The whole conversation shifted from tokenmaxxing and 'go fast' to 'we need guardrails, how do we control this?'"

The space agency said Roscosmos discovered new leaks in the Russian service module.

It's the first instance of an vaccine antigen designed exclusively by artificial intelligence.

OpenAI details Codex Windows sandbox architecture, showing how SIDs, ACLs, restricted tokens, and dedicated sandbox accounts enable safe execution of autonomous coding tasks. The design balances isolation with real developer workflows and shows how OS security primitives must be composed for AI agents on local development environments. By Leela Kumili

AI text correction & translation via keyboard shortcuts. Discussion | Link

The U.S. eavesdropping agency is reportedly preparing Anthropic's Mythos for use in cyberattacks, despite a federal ban on using the AI model maker.

NASA expects to begin stacking the SLS rocket this summer for next year's Artemis III launch.

In between beef tallow fries, raw milk, and vaccine denialism, Make America Healthy Again figureheads have set their sights on another slice of life: our clothing. "The MAHA movement doesn't stop with what we EAT - It's also about what we WEAR," Secretary of Agriculture Brooke Rollins said in a post on X in late […]

About 10 years ago, I got into the basics of ML (like regression, KNN's, LVQ's) and read a few papers before taking a break a few years back. It feels like now, there's a lot of researchers in AI. How do you identify the ones who are actually solid vs those who (forgive my phrasing) are more researchers for appearance/status (i.e don't actually know what they're talking about)? Is the core filter h-index or where they work? How would you identify them? submitted by /u/roguejedi1 [link] [留言]

Everyone keeps saying we have to use AI, that it’s revolutionary and I totally agree, it saves a ton of time. But there’s a problem with that: it saves so much time that we don’t even pay attention to the data we’re sending to AI, names, passwords, phone numbers, Social Security numbers, we send it all under the pretext of saving time. The problem is that we’re giving it away; we’re sending it to companies whose last concern is our privacy. Imagine you start talking about your eight-year-old child’s health issues to an AI using their full name. You can be sure you’ll get targeted ads about those health issues, and that your son will later see the same hyper-targeted ads. The biggest problem with AI isn’t that it makes us stupid, it’s that it further erodes our privacy. That’s why we created ONYRI Sanitize , the goal is to anonymize your data before sending it to the AI. It’s a project I created with my best friend; it’s taken us two months so far. The detection system has a 95% success rate on data from the United States and France, and we’re working to integrate as many languages as possible while maintaining the highest possible detection rate. I'd love to hear your feedback and thoughts. Thanks, everyone 🙏 Have a great day ☀️ Alex submitted by /u/No_Computer_1247 [link] [留言]

When Quilty hit the industry trades earlier this year, the AI startup promised that its tool could accurately predict a film's success just by reading the script. When people actually got a chance to experiment with Quilty's product, though, they were left skeptical. Even with all the available data in the world, it predicted the […]

I have almost 8 YOE experience working in B2B SaaS doing full stack. I broke into the industry in early 2018 without a degree and being completely self taught. Note, I have no degree at all. I did go to college and almost completed my AA, but found work that paid pretty well at the time (not tech related) and off I went. I have been on the market for ~2 months now, and I have noticed I am getting zero traction, unlike before 2022. My last role lasted 4 years and moved to a Senior position. I had been removed from the market this whole time, woefully unaware of what has been going on. Have sent ~150 targeted applications and always an auto reject. Granted it's only been 2 months, but to have a 0/150 interview rate from cold apps is unlike anything I have experienced in the past. I am not spraying and praying, I apply to positions that match my experience. I have also had a technical resume writer rewrite my resume entirely. Right now, I am solely relying on LinkedIn recruiters at this point. I have exhausted my personal network; the few people I can hit up have all said their companies unfortunately are not hiring. Targeting remote, AND in person / hybrid. I am seeing more and more listings asking for CS or equivalent degree. They do mention, "or relevant experience," but the thing is, when a job has 300 applicants, the first filter likely is the degree. I have spoken to many recruiters via LinkedIn and they have all gone nowhere. I get past the initial phone screen no problem, and the recruiter will submit me to the hiring manager of the job, and I hear nothing back after. I was wondering what was happening, and finally a recruiter called me to tell me that a job she submitted me for told her that they are prioritizing candidates with a degree. I have also interviewed about 5 times, passed first rounds and also second round technicals, to only be ghosted. I am currently getting my B.S. as we speak, and should be done in ~7 months. Luckily I was already working on it

submitted by /u/NISMO1968 [link] [留言]

Researchers have prototyped an AI-powered internet worm . The coolest thing about the prototype is that it carries its own LLM with it, and runs it on computers that have been broken into. This is the closest to John Brunner’s original 1975 conception of a computer worm that I’ve seen.

For me AI has been a saviour when it comes to coding as it help me learn at the start. However, AI is still relatively young and stilll in development especially a pain when you working big projects. Now the question is: What is the number 1 most constant thing that you dealt with AI in coding (aside from a colleague using it and make a mess of your code)? submitted by /u/Haunting-Bother7723 [link] [留言]

The Australian data center operator plans to set up 5GW of capacity in India.