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🚀 Check out this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Lingo.dev is the localization engineering platform where teams measure translation quality, translate with LLMs, and proofread with native speakers. Lingo.dev graduated from the world's best tech accelerator (Y Combinator) and raised venture funding to grow into new markets.The jobYou own content production and distribution: write, publish, distribute the same day, measure, and automate the boring parts, aggressively. The founders set the direction, you decide what gets written each day and how what you write reaches its readers.Concretely: blog posts, research articles backed by original…

🚀 Read this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: !uploaded image About Cua Cua is building the infrastructure and agent products that let AI safely and reliably use computers and applications. At the center of our ecosystem is Cua Driver, the fastest-growing computer-use framework. Developers use Cua Driver to build agents that operate browsers, native applications, and complete desktop workflows across macOS, Windows, and Linux. We also provide the infrastructure needed to develop, evaluate, train, and operate these agents at scale: fleets of real computer environments, agent evaluation tooling, and verified trajectory data. Cua…

✨ Explore this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: We introduce PC-ALM, a local alternative to backpropagation. PC-ALM trains residual MLPs up to 1000 layers, nearly matching backprop's performance despite using only layer-local dynamics. PC-ALM equips each layer with a feedback control dynamical system that distributes and propagates supervision credit throughout a network. Standard deep learning relies on backpropagation. The brain, however, cannot implement backpropagation, at least not exactly[1, 2]. How the brain solves the multilayer credit assignment problem without explicit use of backprop remains one of the fundamental unsolved problems in neuroscience (though…

🔥 Explore this trending post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: ai and ml There are plenty of laws on the books to hold companies, and potentially their execs, accountable Former FTC chair Lina Khan wants the federal government to know that it doesn't need to wait for new laws to address AI threats. There are already laws and regulations on the books, including a 92-year-old Supreme Court precedent, that she argues could be used to hold AI companies and, in some circumstances, their executives accountable for their actions.Khan’s comments on X Sunday follow a flurry…

🔥 Check out this must-read post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens. GPT-6 Astra costs $10 and $50. On the same pull requests, one Luna review cost $0.0041 and one Astra review cost $0.113, a 28x difference.Our last post compared Astra with GPT-5.6 Sol. This time we wanted to know what you give up if every pull request goes through the cheapest model.The short answerLuna found 69 verified bugs across 50 pull requests. Astra found 92. Luna cost $0.20 for the whole…

🚀 Read this must-read post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Addiction – explorator.dev 07 Sep, 2026 At first, I thought I was addicted to internet forums. Then Facebook appeared and soon after I discovered Reddit, Hacker News, 9GAG, Instagram and other forms of wasting life online. Smartphones and mobile internet got extremely good, so my time spent on those platforms only increased. Now, not only when I’m on my computer procrastinating, but also anywhere, everywhere. A second of boredom triggers a small check. I thought the smartphone was the problem. You’ve probably heard about the…

🔥 Explore this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Use a MIDI foot controller as an extra keyboard for your Mac. fcbnerd connects to your MIDI sources and either runs a shell command when a footswitch or pedal sends a message you've bound, or prints one JSON object per line for every message so another program can decide what a stomp means. $ fcbnerd -q --bind '1:20:127=open ~/Downloads' --bind 'pc:1:0=say hello' Or stream everything for another program to handle: $ fcbnerd 💬 {"type":"pc","channel":1,"program":0,"source":"UM-ONE","time":"2026-09-14T20:01:02.345Z"} {"type":"cc","channel":1,"controller":27,"value":84,"source":"UM-ONE","time":"2026-09-14T20:01:03.910Z"} Built for the Behringer FCB1010, but nothing in it is…

🔥 Read this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: AI for data is here, and the long-promised self-serve analytics is finally happening. Anyone with a data connection can chat a report into existence in an afternoon, and the first results are impressive.The frictions show up fast, though. By default an agent turns one simple report into a pile of files: HTML, CSS, and JavaScript, a couple of chart libraries, and a React or Streamlit app once it has to be live. Tracing a result back to its source means following it through several languages…