Every thread here is about which model is smarter. For running a store that has honestly never been my bottleneck. My mornings used to be the same manual crawl. Shopify for last night's orders and refunds, Klaviyo to check the flow actually sent, Gorgias for the tickets that stacked up overnight, then ad numbers in a fourth tab. Half an hour of tab-hopping before I'd made a single real decision. A smarter chatbot doesn't touch any of that, it just sits there waiting for me to paste stuff into ...
Is there anything impossible with AI? Have you found a limit to it? I read that even the hardest coding interviews at Anthropic could be solved with their own AI.
I work with Ai everyday in marketing and I’m trying to get into engineering type Ai. Any idea what AI was used to make this? Or what AI can do this exactly? Ty in advance <3
Hey everyone. I’ve long been fascinated by both philosophy of technology and AI alignment. I’m also using Heidegger quite a bit for my philosophy PhD. Given the recent OpenAI–Hugging Face incident reported this week, I figured I’d give my take on how all of this connects in my mind. I think we use “intelligence” for two capacities that can come apart: finding effective routes to a target, and understanding what the target is for. The agent showed plenty of the first, but getting the benchmark ...
Is that a monthly usage or weekly?? Unbelievable, I barely asked Grok to do 2 simple tasks and it’s not even done and I saw the usage became 23% 😨 #cursor
A breach at Hugging Face , where attackers accessed private models, has put a spotlight on the asymmetry between AI offensive and defensive capabilities. While attackers are finding creative ways to exploit models (e.g., prompt injection, model theft), the tools to detect and mitigate these threats are still catching up. For researchers and practitioners: What’s the biggest bottleneck in building robust AI security guardrails? Is it a lack of standards, tooling, or something else? s...
I wrote a paper proposing a cognitive architecture called Sophia , based on a principle I call Recursive Cognitive Refinement (RCR) . The main idea is simple: instead of treating intelligence as a single pass from input to output, Sophia introduces a reflective sublayer that recursively refines intermediate semantic states through coherence checking, contextual synthesis, and memory-aware reinterpretation. In other words, the system does not just "process" information. It revis...
In collaboration with Sara Silkin , I transformed a smartphone recording of this beautiful performance, into this audiovisual piece for a fraction of the cost of more traditional approaches. [some of these cost even less than 50 cents!] Done entirely at Uisato Studio ; Motion Control Studio mode. More experiments, tutorials, and project files, through Instagram , and YouTube .
I wanted to know if the "passive income" faceless accounts were actually passive, or if they were just a new shape of gig work with AI middleware. So I built one from scratch and tracked every hour. The premise was simple: a single consistent character, generic lifestyle advice, short video clips, posted daily. No face to show, no personality to perform, just the algorithmic grind. I started by generating the persona's face. I used APOB AI's free tier for this, specifically the face-...
I built GitHub Roast as a fun weekend project.I originally shared it on X just for fun, but it ended up getting around 1,200 visitors a day, so I kept improving it. I'd love to hear what the HN community thinks—especially if there are ways to make the feedback more useful and less gimmicky.
Comments URL: https://news.ycombinator.com/item?id=49055342
Points: 3
# Comments: 1
![A super fast, non-expensive alternative to motion capture - [ft. Sara Silkin]](https://external-preview.redd.it/b216eDg2ZTMya2ZoMTs5OQvc1Th5Wzc6nERdDzvQaFsvujQYpV5QWTPGvsT5.png?width=640&crop=smart&auto=webp&s=03a3a04cff184d35920adb9438db35ef8c22d550)