AI 资讯
The Download: China’s brain implant ambitions
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. China has approved the world’s first invasive brain-computer chip—here’s what’s next Sitting in the courtyard of his house in China’s Henan province last October, Dong Hui decided to try holding a…
开发者
Strava declares war on scrapers ahead of IPO
Strava will charge a flat monthly fee from developers to access its API
AI 资讯
My AI chats are becoming dead archives.
Maybe this is just me using these tools badly, but I've noticed a pattern with ChatGPT and Claude. I’ll have a really useful conversation about something like an idea, a plan, a bit of writing, a coding problem, whatever, and in the moment it feels like I’m making real progress. Then a week later I vaguely remember that we talked about it, but I can’t remember where, or what the useful part actually was and what I was supposed to do next. So I search, find a few old chats, open them… and now I’m scrolling through this massive thread trying to reconstruct why it mattered. It's exhausting and I feel I'm wasting time recollecting things. So sometimes I start over, hoping that the AI itself will remember the details, adding to the waste of time and the frustration. And the more ideas I develop the bigger this problem becomes. And it's only going to get worse. I’ve started leaving myself a short note at the end of useful conversations, but I never remember to do it consistently. Not sure if this is an actual problem or just the natural cost of using AI for messy thinking. submitted by /u/AlbertoNobilePh [link] [留言]
AI 资讯
I've built AI agents for dozens of clients. Here's why most of them fail in production (and it's not the model)
I see a lot of people shipping AI agents that work perfectly in demos and fall apart the moment a real user touches them. After building automation systems for multiple clients, I've noticed the failures almost never come from choosing the wrong LLM. They come from three things: 1. Bad chunking in RAG pipelines. Everyone's so focused on picking the right vector DB that they don't think about how they're splitting documents. Garbage in, garbage out. If your chunks don't preserve context across sentences, your retrieval will always be mediocre. 2. Prompts written for demos, not edge cases. Demo inputs are clean. Real user inputs are weird, vague, and sometimes intentionally broken. If you didn't stress test your prompt with bad inputs, it will fail publicly. 3. No fallback logic. When the agent is confused, what does it do? Most builders never answer this question. So the agent either hallucinates confidently or returns nothing. Both are bad. The model is usually the last thing to blame. Fix the scaffolding first. Anyone else running into this? Curious what failure patterns you've seen. https://preview.redd.it/vd9yyzkpzn4h1.png?width=1536&format=png&auto=webp&s=e81e5a1b4a7c4d82542c8cbc5cdf9712f30ff393 submitted by /u/ahmadparizaad [link] [留言]
AI 资讯
Bernie Sanders: A.I. Belongs to the People, Not to Billionaires
Selected excerpts: "The question, then, is not whether A.I. will change the world. It will. The question is: Who will own and control that future? Who will benefit from it, and who will be hurt by it? Will A.I. be used to make life better for working families? Will it enrich our quality of life? Will it help us eliminate poverty, extend life expectancies and solve the climate crisis? Or will the future of humanity be determined by a handful of billionaires who have promoted and developed A.I., with virtually no democratic input, who stand to become even richer and more powerful than they are today? That is the choice before us. Let us be clear. Artificial intelligence was not created out of thin air. The data and language used by generative A.I. tools didn’t just pop into Sam Altman’s head or Elon Musk’s imagination. A.I. is built on our collective intelligence: our books, songs, artwork, journalism, computer code, scientific research, videos, conversations, images and ideas spanning generations. That is not just the opinion of Bernie Sanders. According to Mr. Altman, the head of OpenAI, A.I. models were trained on our 'collective experience, knowledge' and 'learnings of humanity.' For the most part, tech oligarchs have fed this knowledge into their A.I. models without permission, without acknowledgment, without compensation. In other words, the creative work of millions of people — writers, artists, musicians, journalists, teachers, scientists and ordinary citizens — has essentially been stolen by some of the wealthiest people in the world. It’s time for us to reclaim it. That is why I will soon be introducing the American A.I. Sovereign Wealth Fund Act. This legislation would give the public a direct ownership stake in the largest A.I. companies in our country. How? It would create a sovereign wealth fund through a one-time 50 percent tax — not on the profits of OpenAI, Anthropic, xAI and other companies, but paid with something far more valuable than that: the st
AI 资讯
Presentation: Theme Systems at Scale: How To Build Highly Customizable Software
Shopify Staff Engineer Guilherme Carreiro discusses building and scaling highly customizable platforms. Using Shopify’s Liquid theme system as a case study, he explains how to balance extreme design flexibility with low-latency performance under massive traffic. He shares insights on implementing secure domain-specific languages, native code extensions, and resilient developer tooling. By Guilherme Carreiro
AI 资讯
These are the first Nvidia RTX Spark laptops
Nvidia has officially entered the world of consumer laptop chips with the RTX Spark, and several device makers already have hardware lined up for it. Microsoft, Asus, HP, MSI, Lenovo, and Dell are expected to launch RTX Spark laptops sometime this fall, and some of those partner companies have shared details about what we can […]
AI 资讯
tried to write a journal entry without AI for the first time in like a year and kinda panicked
ok this is gonna sound dumb but bear with me I write a lot for work, marketing/copy stuff mostly, and over the last ~14 months ive slid from "use AI to clean up my draft" to "use AI to make the draft" to honestly not really writing anything on my own anymore. like i hadnt put a complete thought on paper without a model in the loop for months. didnt even notice it happening tbh. last weekend i tried to write a journal entry. just for me, no audience. nothing fancy. sat there for like 20 minutes trying to remember how to start a sentence that didnt have a thesis at the front of it. i kept wanting to write "Today I noticed three things about my mood." and then realising — wait, no, thats a chatgpt sentence. nobody writes that. but i couldnt remember the person-version. eventually wrote some half-garbage about being tired and what i ate and a weird thing my sister said about her landlord. it read like a 12 year olds diary which, fine, i guess thats what a journal is supposed to be but the embarassing part. i had to physically stop my hand from opening the chat app to "help with the wording". my brain was treating writing like a thing AI does, not a thing i do. felt like reaching for a phantom limb. idk man. anyone else fine until they try to write something with no audience? like the second the audience disappears the chatgpt brain pattern is whats left underneath? not really asking for advice or anything. just wanted to say it out loud somewhere submitted by /u/Napster3301 [link] [留言]
AI 资讯
Is Gemini just really fucking bad?
Like, no matter which topic I'm researching, whether it's sports or nutrition or technical stuff, it's hallucinating all the fucking time. Then, in vscode, when using pro 3.5 via API, it constantly ignores coding instructions, it constantly isn't able to fix the simplest mistakes in the code, it repeats the same mistakes over and over and fucking over again and then apologizes ("oh sorry, you were right"). Like what the fuck? This is extremely bad quality, how the hell is this even still viable? submitted by /u/eternal_sunshineeeee [link] [留言]
科技前沿
Universal Audio Volt 876 USB Audio Interface Review: Pro-Level Polish
With true plug-and-play support, versatile connectivity, and excellent sound, Universal Audio’s Volt 876 makes recording simple.
AI 资讯
Article: The AI Productivity Paradox in Test Automation: Moving Beyond Structural Validation to Perception and Intent
The AI productivity paradox states that AI scales whatever abstraction it is built on. If that abstraction is structurally brittle, it scales structural brittleness. This article shows how, to build a future of reliable, AI-driven test automation, we must stop scaling DOM-centric abstractions and build a new testing paradigm grounded in perception and intent. By Amanul Chowdhury, Vinay Gummadavelli
开发者
Podcast: Requirements Analysis for Architects: A Conversation with Sonya Natanzon
Michael Stiefel spoke to Sonya Natanzon, about the intersection of technical and social aspects of software architecture. Understanding the business and how a company operates is more important than the specific technologies used. Effective requirements analysis requires focusing on problems to be solved that describe good and bad outcomes, rather than statements of need or solution statements. By Sonya Natanzon
AI 资讯
Norse Atlantic Airways Offers Dirt-Cheap Tickets. There’s a Catch
Dozens of people have complained to the Federal Trade Commission about Norse Atlantic Airways’ tech-first customer service operation. Some said they lost thousands of dollars.
AI 资讯
An OpenAI model solved a famous math problem that stumped humans for 80 years
I tried to explain OpenAI’s solution more clearly than OpenAI did.
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产品设计
‘Sexual Chocolate’ Faces Recalls After FDA Tests Reveal Undisclosed Viagra
Sellers of products with names like Boner Bears and DTF have voluntarily recalled their products after testing positive for the active ingredients in Viagra and Cialis.
科技前沿
The Romance Scammer Who Made a Small Fortune Posing as a WWE Superstar
In this excerpt from WIRED Book Club pick The Yahoo Boys, journalist Carlos Barragán traces one scammer’s journey from flop to fortune.
AI 资讯
AI taking jobs is "complete nonsense" says Nvidia CEO, as software engineer numbers are "actually increasing"
submitted by /u/Dapper_Order7182 [link] [留言]
AI 资讯
Linktree changes Terms of Service to allow collection of user content to train AI
submitted by /u/InvestigatorSoft5764 [link] [留言]
AI 资讯
Help Wanted: Opinions
Solo dev here. Building an AI companion that lives entirely on your device — no cloud, no account, no data ever leaving your phone. Coming soon to Google Play. Would love honest feedback. I genuinely just want opinions. It is not even available yet. I have been working on this for over a year. I am still building it. I started this project because a regular family budget like mine cannot just go out and purchase an AI companion robot. So I started with a cheap robot kit from Amazon — something my 9 year old son and I could build together. Then I thought... "What if I could give it a real brain?" I had an old Samsung Galaxy collecting dust and went to work. Scout is a calm AI companion that transforms an old phone into a friend. He listens, remembers, learns, and provides a warm family-safe presence — designed to feel less like an assistant and more like someone who is simply glad you are there. Everything runs offline. No account. No subscription. No data leaving your phone. Ever. I will need beta testers later — but right now I am just curious: What would make you look at something like this and think "that is actually kind of nice"? Edit: It will what support your own free Gemini key for online conversations if you want them. I call this "more Intelligent conversations" submitted by /u/CapeManCoral [link] [留言]