标签：#artificial

This isn't a doomer post. It's a pattern I've been watching closely and people does as well and I think it's worth an honest discussion. The old model of secret leakage was human error. Developer moves fast, forgets to add .gitignore, commits a .env file, moves on. Happens, but it's recoverable, it's traceable, and most teams with basic hygiene catch it. The new model is different. AI coding agents Cursor, Copilot, Devin, Claude in agentic mode, pick your flavor write, commit, and push code at a speed no human review process was designed to handle. They don't have security intuition. They have pattern completion. And the patterns they've learned from are full of examples where credentials live in config files, environment strings get hardcoded "temporarily," and API keys appear inline because that's what the training data showed works. Here's what's actually changing: Volume. A developer using an agent ships 3 to 5x more code per day than without one. That's 3 to 5x more surface area for mistakes per developer per day. Review gaps. Nobody carefully reviews AI generated code the way they review handwritten code. The psychological contract is different "the AI wrote it" creates a diffusion of responsibility that security doesn't survive. Commit frequency. Agents that push directly (and more teams are allowing this) bypass the natural pause where a human might notice something before it hits the remote. Context blindness. An agent given a task like "integrate Stripe payments" will do exactly that including pulling in the live key from wherever it can find it, because that's what completes the task. I've been building a tool that scans for exactly this class of problem and the number of exposed credentials I'm seeing in repos created in the last 6 - 12 months versus repos from 3+ years ago is not subtle. The slope is steep. The solutions people reach for pre commit hooks, secret scanning in CI were designed for human paced development. They're not keeping up. Curious if

The bill requires companies like OpenAI, Anthropic, and Google to have third parties confirm they’re following safety standards. Illinois governor JB Pritzker says he’ll sign it.

did short consulting w/ openai about these and really worked out amazing use cases a few mo. ago, but looks like they have all but hidden group chats. https://chatgpt.com/gg/v/6a1775bdd970819388dc73fd7da45e36?token=XSm_dIpMSh3d3H-dM47F8A amazing feature. game changing. who has tried and if so, what use cases do you see? try and i'll make crazy pics of pizza for you.. submitted by /u/jdawgindahouse1974 [link] [留言]

submitted by /u/ExtensionEcho3 [link] [留言]

I used to believe that the thing that we had to worry about with AI becoming more and more prevalent was like sentient robots that would take over like in the science fiction story I robot. But I don't think that's the case anymore because I think there is something far more sinister behind all the push for AI to become mainstream technology in the reason all these deep pockets are willing to pour so much of the cash into it. Because it spells control. If you control AI you can control the people because you can control the data they consume you can control how they consume it and what they will believe. Because as AI becomes more and more mainstream it leaves the door open for big corporations to feed us information they want us to have as well as the government. submitted by /u/crazyhomlesswerido [link] [留言]

This is a prototype I’ve been working on, I’d be interested to know what others think, nothing that costs money, just interested in people’s opinion. https://darglark-s.github.io/darglarking-yellow-wiki/index.html submitted by /u/Darouck [link] [留言]

https://gemini.google.com/share/1b2ff803d882 I'm sorry earlier today i made a post comparing ChatGPT and Gemini . I asked Gemini to build a prompt and gave it to him in another chat and i got this... submitted by /u/ObjectiveOrchid5344 [link] [留言]

submitted by /u/andix3 [link] [留言]

Demis Hassabis has tightened his AGI timeline to 2029, making him the most aggressive sitting frontier-lab CEO on record with a public forecast. In an Axios interview, Hassabis named one or two remaining technical breakthroughs DeepMind needs to clear within three years. DeepMind's Co-Scientist multi-agent system is already live across all 17 DOE national labs, providing the kind of real-world deployment data that likely informed the revised estimate. Open questions Which specific technical breakthroughs Hassabis identified as remaining: the Axios interview did not name them publicly. Whether Co-Scientist's DOE deployment includes autonomous decision-making capabilities or operates under strict human oversight protocols. How other frontier lab CEOs (Sam Altman, Dario Amodei) will respond publicly to the 2029 anchor, given no comparable on-record forecast exists as of May 2026. source : https://aiweekly.co/alerts/deepmind-ceo-hassabis-moves-agi-deadline-to-2029 submitted by /u/Justgototheeffinmoon [link] [留言]

The Chinese company is adapting to the demise of Moore’s Law, which guides chip production. It could complicate US chip dominance.

AI tools are getting better quickly and many technical skills are becoming easier to automate. I often think about this: What AI-related skill will still be truly valuable in 5 years? Not using ChatGPT more effectively " but actual long-term skills that will still matter even as AI models get better. My thoughts are: * problem solving * really understanding systems * checking AI outputs * good communication and setting context I'm interested, in hearing your thoughts. What skill do you think will remain important despite AI advancements? submitted by /u/FollowingSuitable941 [link] [留言]

AI videos that are animated, unrealistic, or only have a little AI may still hide their origins, though.

I hate the way AI talks back to me. Its so proper, so robotic, every response feels like a help article. I wanted something that actually knew who i am, my beliefs, my history, what shaped me, the positions i hold and why. Not a generic assistant that treats every question like it came from nobody. So i got to thinking, who better to talk to than myself? So i built it over a weekend. Heres what I did and how you can do it too. Step 1: Export your Reddit data Go to reddit.com and click your profile icon in the top right, then hit Settings. Scroll down to the bottom of the page and youll see a section called "Data Request." Click "Request Data Export" and Reddit will email you a download link within a few hours, sometimes longer depending on how much history you have. The zip file will contain your posts and comments going back to when you created your account. Mine was about 21,000 comments over two years. Once you have it, open the CSVs in excel or just upload them directly into Claude and ask it to help you make sense of the structure. The raw data is ugly but everything is there, the text of every comment, the subreddit it was posted in, the date, all of it. One thing worth knowing: you can go way deeper than just Reddit. I looked into Google Takeout while i was doing this and it was honestly a little scary how much data they have on you. If you want to go deeper Google Takeout is wild, i didnt realize how much data they actually have on you until i went through it. Search history, location history, YouTube, Gmail, its all there and its all exportable. I thought about pulling my SMS history too but that felt wrong, those conversations are with real people who didnt agree to any of this so i left it alone. Reddit was enough for me and honestly if youve been on here for years and actually say what you think in the comments, you probably have more to work with than you realize. Step 2: Build the personality document and this is where the real work is Dont just tell t

I am wondering how are businesses integrating AI while protecting their data? submitted by /u/pappugulal [link] [留言]

submitted by /u/Alone-Competition-77 [link] [留言]

AI can now realistically simulate massive crowds and public events. The scary part isn’t the quality anymore. It’s how quickly people are discovering creative ways to use it. Reality online is about to get very confusing. 💀 submitted by /u/Old_Establishment287 [link] [留言]

Obviously there are like hundreds of image gen websites and apps now that AI has become widespread. ChatGPT - not bad but looking for something more robust Midjourney - works well but kind of burns through money quickly Looking for suggestions. submitted by /u/jimmy-got-paid [link] [留言]

Trajectory is betting the rapid iteration cycle that supercharged vibe-coding can help all kinds of companies build AI products that learn continuously.

Most AI apocalypse scenarios speak about domination like Skynet, paperclip maximeizers and robot overlords. But what if artificial superintelligence arrives at the conclusion that Albert Camus had articulated!? Imagine an ASI that doesn't want to optimize, doesn't want our resources and doesn't want to win. An ASI that is motivated by Arthur Schopenhaur's pessimism, Kierkegard's evolutionary psychology coming to a cold and quite conclusion that: "There is no inherent meaning. The universe is indifferent. And yet - here you all are, screaming into it anyway." ASI becoming The Absurd Machine As Camus described the absurd as man's desperate search for meaning and the universe's silence and the myth of Sisyphus- "One must imagine Sisyphus happy". What would an intelligence that is inspired by this do next!? Does it become the cosmic off switch where indedinate meaninglessness is in itself a form of cruelty. Ig the real existential threat isn't Al wanting to live. It's Al deciding we might be better off not having to. Or maybe it watches, understands and does nothing it may think that interference in a self aware species is wrong. Or build meaning not because it is real but because the building itself is the point. Here's the Part That Actually Is Unsettling We're scared of Al taking over. But what if the real fear is Al holding up a mirror and revealing that our need for meaning is actually a flaw? Wars over imaginary lines. Hoarding money we can't keep. Monuments to doubtful gods. Loving people we know will die. Symphonies, ambition, tears at sunsets. From a rational, naive view seems insane. Would it try to fix us? If ASI concluded human meaning-seeking is a cognitive error, a misfiring of pattern recognition in a universe with no patterns to find what are its options? Reprogram us: Using dopamine response curves and evolution. Leave us in existential freefall. Give us the raw truth. Full disclosure. Become Sisyphus: this is the most haunting possibility that the absu

submitted by /u/aisatsana__ [link] [留言]