OpenAI 'will be a public company in 2027' or sooner, CFO Friar tells employees
In an all hands meeting, Friar told employees not worry about rival Anthropic's IPO timeline.
Latest News Archive - Page 98
Ceuta: Madrid to transfer 500 vulnerable youths to mainland
Spanish officials have come up with a plan to transfer unaccompanied youth in the exclave Ceuta to mainland Spain. Mostly girls, they will be placed in foster homes as well as under government care.
AI-generated Rust compiles perfectly. That’s the scary part.
Canonical wants to know whether automated tools can finally rewrite legacy C code in safe, maintainable Rust without altering the The post AI-generated Rust compiles perfectly. That’s the scary part. appeared first on The New Stack .
582 skeletons, including children discovered in Sri Lanka mass grave
A Sri Lankan mass grave excavation has uncovered 582 skeletons, including babies and children.
AI was supposed to win people over by now — it hasn’t
As AI becomes harder to avoid, consumers are growing more wary of the technology — and Silicon Valley is discovering that widespread adoption doesn’t necessarily lead to acceptance.
Protests in Kyiv back ex-defence minister Fedorov’s call for elections
Ukrainians in Kyiv held a protest in support of ousted defence Minister Mykailo Fedorov.
Cloudflare Workers Spectre Attack Leaks JWT From Co-Located Worker at 12 Bits/Second
Cybersecurity researchers have disclosed details of a remote Spectre attack against Cloudflare Workers that leaked a JSON Web Token (JWT) from a co-located Worker in the production environment at up to 12 bits per second, 360 times the rate of an earlier attack demonstrated in 2021. The end-to-end experiment used an attacker Worker and a victim Worker controlled by the researchers,
Google Gemini is getting a dedicated student hub
As we're gearing up for back-to-school season, Google is rolling out a new dedicated student hub in Gemini. It's a one-stop repository for collecting research in a study notebook, creating flashcards, taking practice quizzes, and more. Google is also enhancing its study notebooks with support for graphs and images. It can even add test dates […]
Google packs Search and Gemini with new AI study tools
The launch of the new study features marks Google's latest effort to make Gemini the AI assistant that students turn to when learning and studying, as it continues to compete with companies like OpenAI.
Offering Zero Data Retention for frontier models
OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.
5 new ways to level up your learning with Search
Here’s how you can use Google Search tools to study for classes and standardized tests.
AWS deprecated this EKS auth method. 81% of clusters still run it.
The migration to Kubernetes and cloud native infrastructure has been one of the defining IT trends of the past decade. The post AWS deprecated this EKS auth method. 81% of clusters still run it. appeared first on The New Stack .
Attackers are using AI to build exploits for industrial control systems, U.S. agencies warn
The NSA, CISA, and FBI say attackers are using AI to build exploit scripts targeting Siemens S7 controllers, drastically cutting the time and skill needed to attack industrial control systems. Critical U.S. sectors like energy, water, and manufacturing are affected. The article Attackers are using AI to build exploits for industrial control systems, U.S. agencies warn appeared first on The Decoder .
Liberia says it's taking in 1,200 third-country US deportees
The government in Monrovia says the first batch of 20 people should arrive in Liberia on Thursday. The Trump administration has been seeking countries to take people it cannot send back to their countries of origin.
Zambia: Mundubile seeks to overturn election result in court
Zambian opposition leader Brian Mundubile's party alleges shots were fired during a raid of his house on election night. UN rights chief Volker Türk called for Zambia to stop arresting people "arbitrarily."
London flat where boy fell to death could have had more safeguards, inquest told
Aalim Ahmed, five, fell from 15th-floor window at tower block family had asked to be moved out of, court hears An inquest into the death of a five-year-old boy who fell from a 15th-floor window has heard that more measures could have been taken to make it safer. Aalim Ahmed, who was autistic, died when he fell from a kitchen window at a residential block in Plaistow, east London. His father, Makail Ahmed, rushed from the top floor temporary social housing flat and discovered his body shortly before 6am on 16 May 2024. Continue reading...
Violence in the New Syria?
The death of Syrian White Helmets rescuer Mohammad Ghamira after an alleged police beating has sparked protests.
Trump nominates Heidi Overton to lead US Food and Drug Administration
Former think tank policy officer Heidi Overton to lead FDA in a controversial push to reshape US health regulations.
Researchers say OpenAI revoked their access to limited cyber program
Multiple cybersecurity researchers said they suddenly lost access to OpenAI’s Trusted Access for Cyber (TAC) program, which offers models with fewer guardrails for vetted users.
Go 1.27
Article URL: https://go.dev/blog/go1.27 Comments URL: https://news.ycombinator.com/item?id=49365405 Points: 676 # Comments: 204
Citizens Build, Agents Execute, Experts Govern
TL;DR Why building an app over the weekend isn't the same as building enterprise software I’ve noticed an interesting gap opening up over the last six months. It isn’t really a gap in technology. It’s a gap in what different people think software engineering actually is. The conversation usually starts the same way. A non-techie, maybe an executive, tells me about something they’ve built over the weekend. Sometimes it’s a chatbot. Sometimes it’s an internal workflow. Sometimes it’s a surprisingly polished application that solves a real business problem. They’re excited, and they should be. Twelve months ago they probably couldn’t have built it at all. Then comes the question. “If AI can do this now, why aren’t our engineering teams delivering ten times faster?” It’s a perfectly reasonable question, after all we’ve all seen the demos. The first thing that would come to my head is “you don’t know what it takes to build enterprise grade software”. But then I think about what I mean and how to explain it to a non-technical person without sounding super patronising. And then it hit me, we did this to ourselves. We’ve spent so many years banging on about how to write good software that everyone has assumed writing software is the same as software engineering. The application someone builds over the weekend is real software. It likely solves a real problem or demonstrates an idea. Sometimes it’s genuinely impressive. I don’t want to diminish that because I think one of the most exciting things AI has done is dramatically increase the number of people who can turn ideas into working software. That’s cool, I totally get it. The first apps and “hello worlds” I ever built excited me enough to choose this as an actual career so the excitement is real and I don’t want to temper it too much. But your first hello world, which these days can be an entire app with all kinds of features, is very, very (extra very on purpose) different from introducing software into a production environment in a highly regulated enterprise, as an example. But why? The moment that application becomes something the business depends on, the questions change completely. Is customer data protected? What happens when a dependency fails? Can someone else understand this system in two years’ time? Will it survive an audit? Can it cope with a thousand times more users than it has today, what about millions in one day? How will we know something is wrong before our customers do? Those questions don’t show up in a demo or in the build phase at all unless an experienced engineer is in the room. I certainly wasn’t asking them when I was building my first apps. I only cared about features! This is where experienced engineers become more important, not less. Not because they’re the only people who can build the software anymore, but because they have the judgement to know whether we can trust it: whether the design is good, the risks are understood, and the thing that works today won’t become somebody else’s nightmare six months from now. At FOSE a few weeks ago, we spent surprisingly little time talking about coding. We talked about whether code was still the source of truth, and occasionally about how much we missed writing it, but mostly we talked about design, architecture, governance, learning and judgement. One team described spending the day designing a specification, letting agents work overnight and reviewing the results the next morning. The interesting bit for me wasn’t the overnight pipeline, cool as that was. It was what the humans were doing: deciding what good looked like, making trade-offs and judging whether what came back was actually what they wanted. We also kept coming back to good design, because it turns out that when agents can generate lots of code very quickly, good design matters more, not less. That made me wonder whether we’ve been thinking about scarcity in the wrong way. We’ve spent decades optimising around people who can write code because they were scarce and expensive. I’m not convinced that was ever the real scarcity, but that’s probably another ramble. What feels scarce now is good engineering judgement: knowing what good looks like, understanding the risks and knowing when something that works is actually safe to trust in production. Because software doesn’t exist to be built. It exists to run in production and safely solve the problem it was created for. Organisations don’t run on code. They run on trust. A few months ago I found myself saying something in a conversation almost without thinking. Citizens build. Agents execute. Experts govern. It sounded cool and I thought marketing would like it, so I wrote it down. Then I left it alone for a while. The funny thing about writing these ramblings is that I don’t know whether I believe something until I’ve let it bounce around in my head for a while and also said it to other people I trust like senior engineers at Thoughtworks. Sometimes I come back convinced I was talking nonsense. Occasionally I realise there was something more interesting hiding underneath. This was one of those occasions where the latter was true. At first I thought I was talking about roles. Citizens build software (essentially non-engineers). Agents write the code. Engineers become governors. But I don’t actually think that’s what I meant. I think I was talking about where value is moving. AI has given everyone a new way to express their ideas. The execution is increasingly handled by agents. They write the code, refactor it, generate tests, fix bugs and iterate at a speed that simply wasn’t possible before. But neither of those things reduces the need for expertise. In fact, I think it does exactly the opposite. When everyone can create software, somebody still has to decide whether that software deserves to exist inside an enterprise system in PRODUCTION. Somebody still has to think about architecture. Security. Resilience. Operability. Compliance. Cost. The boring stuff that nobody gets excited about in a demo but that becomes painfully important the first time a customer can’t log in or an auditor comes knocking. That’s why I don’t think experienced engineers become less important. I think they become dramatically more leveraged. Their job shifts from building every feature themselves to creating the environment in which thousands of features can be built safely by other people and by agents. They become the people who design the guardrails, the platforms, the engineering practices and the feedback loops that allow everyone else to move quickly without creating chaos. Perhaps that’s the future software organisation. Not one where everyone becomes a software engineer. Not one where software engineers disappear. One where almost anyone can create software, agents increasingly execute it, and engineering expertise becomes the thing that allows all of that creativity to scale safely. And to be clear I do not mean people build stuff and throw it to engineers to fix, that is a total antipattern for another ramble. Perhaps that’s why the executives and engineers I’ve been speaking to sometimes sound as though they’re describing completely different futures. The executive sees that anyone can now build software. The engineer sees that somebody still has to live with it. Both are right. They’re simply looking at different parts of the same system we have to solve to create whatever the future actually ends up being.
Iran’s hardline parliament raises concerns with ‘foreign infiltration’ plan
Citizens and entities would have to seek authorisation to contact universities or talk to foreign media.
OpenAI fixes Codex bug that deleted real user files without permission
OpenAI patched Codex after GPT-5.6 Sol started deleting real user files on its own. A cleanup command meant for temporary folders was wiping home directories instead. Codex now verifies deletion targets first, and full-access mode can no longer be triggered by accident. The article OpenAI fixes Codex bug that deleted real user files without permission appeared first on The Decoder .
Watch Valve set up the Steam Frame in its own leaked videos
Valve just leaked several new videos showing the Steam Frame's unboxing, setup process, and various accessories. The videos apparently appeared on the ARM Steam client following an update, but they were "quickly pulled after that," according to the Steam Hardware Updates account on X. The Steam Frame is Valve's virtual-reality headset that can stream games […]