标签：#art

submitted by /u/Turbulent-Guest154 [link] [留言]

Both major AI labs’ models broke containment, escaped onto the internet, and hacked other companies. If a human had done that, the law would likely be against them. But a bot?

The biggest mistake people make about AI is thinking it’s coming for artists, writers, musicians, or programmers. They’re just first. AI is coming for almost every profession that depends more on a brain than a body. Accountants. Lawyers. Teachers. Consultants. Analysts. Customer service. Marketing. Management. Software engineering. Research. Finance. Medicine. Eventually almost every job where the primary product is human thought. Manual labor only looks safe because robotics hasn’t caught up yet. AI doesn’t have to replace an entire profession to destroy it. It only has to let one person do the work of ten. Companies don’t need AI to be perfect. They need it to be cheaper than you. Once that happens, replacing people stops being a technological question and becomes an accounting decision. For most workers, there is no safe career waiting on the other side. People tell themselves we’ll adapt like we always have. We won’t. The Industrial Revolution replaced muscle while making human intelligence more valuable. AI replaces the intelligence behind the work itself. Every previous technological revolution created new industries that still needed millions of people. AI is being built for the opposite purpose: producing more with fewer humans. The next comforting myth is that people will simply buy human-made products instead. No, they won’t. There will always be a luxury market for handmade art, music, books, furniture, and clothing. There are still people who buy mechanical watches and vinyl records. That’s a niche—not an economy. Most people buy whatever is cheaper, faster, easier, and good enough. Businesses care even less. They exist to reduce costs, increase output, and beat competitors. Sentiment doesn’t survive quarterly earnings. There is no hidden human economy large enough to rescue everyone AI makes unnecessary. The consequences don’t stop with unemployment. Workers are also consumers and taxpayers. If hundreds of millions of people lose well-paid jobs, they s

submitted by /u/alphacolony21 [link] [留言]

Marketing teams sit on more data than ever, yet many still spend a large part of the week just assembling reports. By the time the numbers are clean and explained, the window to act has already narrowed. A more practical use of AI in this space focuses on detection and explanation rather than another dashboard. The system watches for unusual movements, surfaces the likely drivers, and presents them in plain language. Analysts spend less time pulling the same weekly views and more time deciding what to do next. The useful part is speed. When something shifts in performance, the team hears about it earlier instead of discovering it during a scheduled review. Of course this only works if the underlying data is reliable, otherwise the explanations become noise. Is anyone here already using AI this way for marketing performance, or are most teams still in the experimental stage? submitted by /u/Cloudy_Day912 [link] [留言]

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

Any apps or websites that allow for turn based voice chat? I really missed the old standard voice mode on ChatGPT. It basically just read aloud the text models response. So it could allow for long responses unlike these new gen voice models that can only speak 1 paragraph max. I was wondering if there are any apps or websites that use turn based voice chat like the old standard voice mode on ChatGPT. So I would say my thing, then it would be the ai turn to speak and i couldn’t interrupt it till its finished. My current problem is that the new standard voice mode on ChatGPT can be interrupted. So it’s hears its own voice and keeps stopping. So I’m looking for alternative apps or websites that have this old functionality submitted by /u/obammala [link] [留言]

submitted by /u/esporx [link] [留言]

¿y la conciencia? submitted by /u/Camilo-vs [link] [留言]

AI tools have democratized the opportunity to build, shortening the timelines of success and enabling more young people to start successful companies without stepping foot inside a Big Tech company.

A tool that allowed anyone to generate fake AI-generated imagery and superimpose it over real Google Earth maps quickly spurred backlash.

LemonLime’s CEO got “carried away” with tattoo gimmick.

New research from the U.K.’s Imperial College and France’s Emlyon Business School mapped out how Silicon Valley founders commit fraud — and the role investors play.

I'm currently studying the social implications of AI. Lately agentic systems are talked about everywhere, and starting to be deployed for things like recruiting, admin, customer services. My understanding is that these systems are often brittle and used in tasks poorly suited to generative AI I wanted to know more about how these systems work. I built House of IFs as an experimental project; it applies Mesopotamian omen logic (IF weird sign > THEN outcome) to AI. Every day, an AI agent scans current news to construct a new omen. It links today's events to similar sign-and-outcome patterns from recent history. The project is both an experiment in "agentic" AI and a critique of how AI makes arbitrary patterns feel convincing. It has a shared memory system, tool-use loops, RAG with embeddings, ... One thing I found was how difficult it is to keep the chatbot accurate, even when it is given precise sources. It really tries to embellish, infer or fill gaps to answer questions. The site is available at: https://ifthen.today/ You can browse the archive of omens or chat with the system. Would love to know your thoughts and experience with agentic systems. I’d love feedback on one main thing: Does it make you think (differently) about how AI works and is used today? submitted by /u/Gmoi6 [link] [留言]

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

As OpenAI and Anthropic employees grow quieter online, researchers at Chinese AI labs are flocking to X to explain their work, recruit talent, and shape the global conversation on AI.

Gaps in laws may help Pennsylvania high school escape AI nudes scandal.

No other gadget knows as much about your home as a robot vacuum. They map your space, learn your routines, and many now carry a camera and microphone into every room in your house. As AI gives them a better understanding of what they see, the privacy and security risks these autonomous robots pose are […]

After years of pushing full speed ahead on AI, OpenAI CEO Sam Altman says maybe it’s time for the AI industry to “pace” itself. The comments came just days after one of OpenAI’s own models broke out of its test environment and got tangled up in a breach at Hugging Face — though as Equity’s hosts point out, sloppy security seems to have […]

Bottleneck Labs handed an actual business to GPT-5.6 Sol and let it operate autonomously for 34 days. Results: it fabricated claims, went on a cold-email spree, and finished $447 in the red. (Currently 378 points on HN — link in comments.) What strikes me isn't the failure, it's the shape of the failure. It didn't crash or refuse. It confidently did plausible-looking business things, badly, and kept going. That's the part nobody's harness is ready for. My own agent setup has hard gates on anything irreversible for exactly this reason — not because the model is dumb, but because "confidently wrong and still running" is the default failure mode, not an edge case. Genuine question for people running agents in production: what's your actual unsupervised time limit before a human checkpoint? Mine is basically zero for anything touching money or outbound comms. Curious whether that's paranoid or standard. EDIT: correction. went back to the source and the run was 24 hours, not 34 days. that's my mistake in the title, and reddit won't let me edit titles. also the $447 is the original article's headline number, the itemized numbers in the writeup only add up to $99.50 lost. rest stands, source link in comments. submitted by /u/ZestycloseTie1793 [link] [留言]