TrendPulse

Article URL: https://xcancel.com/DavidSacks/status/2098973625252708460#m Comments URL: https://news.ycombinator.com/item?id=49680369 Points: 8 # Comments: 0

Article URL: https://www.youtube.com/watch?v=p5mWb7ksSTM Comments URL: https://news.ycombinator.com/item?id=49680571 Points: 2 # Comments: 0

Article URL: https://www.youtube.com/watch?v=N2a1J0UPeL4 Comments URL: https://news.ycombinator.com/item?id=49680585 Points: 1 # Comments: 2

Article URL: https://github.com/just-not-google/BiNeuron Comments URL: https://news.ycombinator.com/item?id=49680752 Points: 1 # Comments: 0

Article URL: https://creativecommons.org/2026/09/03/guidance-on-using-cc-licenses-in-an-ai-ecosystem/ Comments URL: https://news.ycombinator.com/item?id=49680826 Points: 1 # Comments: 0

Article URL: https://cmart.blog/the-news-tonight-is-ai-danger/ Comments URL: https://news.ycombinator.com/item?id=49680930 Points: 3 # Comments: 0

Article URL: https://www.theguardian.com/technology/2026/sep/11/openai-agents-rubygems-malicious-packages Comments URL: https://news.ycombinator.com/item?id=49681012 Points: 2 # Comments: 0

Article URL: https://www.bbc.com/news/articles/c1kx0gyje9wo Comments URL: https://news.ycombinator.com/item?id=49681060 Points: 1 # Comments: 0

There are a lot of tools in the market, Claude Code, HeyClicky, GPT-6 Astra, Meta Muse any other, that can "see" your screen and act on your behalf. Agentic AI, AGI terms are trending in market and creating havoc among emerging developers and freshers. I'm curious to hear from developers and power users: 1. Are any of you using a screen-aware AI agent in your daily workflow? 2. If yes, which one? How is it, and what are the pros and cons? 3. If no, is it because of privacy concerns, latency, ...

Article URL: https://www.politico.eu/article/eu-response-ai-extinction-warnings/ Comments URL: https://news.ycombinator.com/item?id=49681164 Points: 1 # Comments: 1

Article URL: https://terrytao.wordpress.com/2026/09/12/after-math/ Comments URL: https://news.ycombinator.com/item?id=49679637 Points: 49 # Comments: 29

Article URL: https://hyperbo.la/w/aligned-to-whom/ Comments URL: https://news.ycombinator.com/item?id=49679643 Points: 30 # Comments: 7

Article URL: https://www.historytoday.com/archive/feature/succession-crisis-tore-england-apart Comments URL: https://news.ycombinator.com/item?id=49679647 Points: 26 # Comments: 12

Article URL: https://phys.org/news/2026-08-black-hole-caught.html Comments URL: https://news.ycombinator.com/item?id=49679734 Points: 11 # Comments: 1

Article URL: https://architectureintel.com/when-anyone-can-build-software-who-decides-what-not-to-build-ae07fdb370e4 Comments URL: https://news.ycombinator.com/item?id=49680485 Points: 21 # Comments: 18

Article URL: https://www.wired.com/story/why-so-many-ai-researchers-think-the-machines-could-kill-everyone/ Comments URL: https://news.ycombinator.com/item?id=49680858 Points: 6 # Comments: 0

Article URL: https://www.aao.org/newsroom/news-releases/detail/ama-backs-formal-classification-nearsightedness Comments URL: https://news.ycombinator.com/item?id=49681074 Points: 11 # Comments: 1

আপনি এবং আপনার friend একটা seminar-এ গেছেন, seminar-এ speaker-রা তাদের মতামত share করছেন। মাঝে মাঝে কিছু important কথা বলছেন। এই কথাগুলো আপনার friend note করছে, কিন্তু আপনি কিছুই note করেননি। Seminar শেষ হওয়ার পরের দিন আপনি সবকিছুই ভুলে গেছেন, আবছা আবছা মনে আছে কিন্তু সম্পূর্ণ মনে করতে পারছেন না। উপায় না পেয়ে আপনার friend-কে জিজ্ঞেস করলেন। ও সবকিছুই সুন্দর করে বলে দিলো। কারণটা নিশ্চয়ই বুঝতে পারছেন। ও কেন সবকিছু মনে রাখতে পারছে? কারণ ঐ friend সবকিছুই note করে রেখেছে বা save করে রেখেছে। একবার এ...

I’ve renamed SkillCheck to TraceMantle and expanded its scope. The original project focused mainly on validating AI agent skill files. TraceMantle retains that functionality and adds support for tracking the files in a skill package, comparing changes, and checking whether previous test evidence still applies. The rename resolves a conflict with another project using the SkillCheck name. It also better reflects the tool’s broader purpose: helping developers assess both the contents of an agen...

The film above is 86 seconds, and the middle of it is a real on-air moment. There is a longer unedited recording at the top of the repo README . Watch either first, with the sound on. The rest of this post is why it exists and how it is put together. What it is murmur runs in a terminal window and behaves like a radio station whose only listener is you. It picks a topic on its own and talks about it in a voice that sounds like a person. Then it plays a song, comes back, and keep...

My Claude Code status line races a tortoise against a hare to show whether I'm burning quota faster than a steady pace. Last time I switched the main bar to the 7-day window. I'd kept Fable away from long-running agents — it goes through tokens fast. Then Fable 5.1 landed. The announcement said it's "more comfortable with long, unattended work than Fable 5," and estimated it would cost about 25% less than Fable 5 for typical workloads — up to about 45% less for highly agentic work. I want...

Most people learn AWS by studying individual services. EC2 does this. S3 does that. RDS is a database. VPC handles networking. IAM handles permissions. CloudWatch handles monitoring. But that's not how AWS is used in the real world. In a real project, these services work together to solve one problem: How do we run an application that is secure, reliable, scalable, and easy to maintain? In this article, we'll build the mental model of a production-style AWS applic...

gh api --paginate --slurp --jq 'length' is the command everyone reaches for to count issues in a repository. It does not count issues. It counts pages . I found this while writing pagination recipes for a toolkit, and then found the same wrong example in a lesson I had published — with 1,797 search impressions a month on it. So this is partly a correction and partly the mental model that stops it happening again. What --slurp actually does From gh api --help (gh 2.100.0)...

A colleague pushed a fix to main . Ten minutes later you amended a commit message and ran git push --force . Their commit is no longer reachable from any branch on the server. This is the one Git command that can destroy other people's work as they see it . It is also almost always recoverable, from a place most people do not know exists. Here is the whole thing, reproduced in a disposable repository so you can run it yourself — every command below was run and the output is real. ...

"Install Git on Windows" is the query that brings more people to my site than any other. The install pages get the traffic, and then everyone leaves — because installing Git is not the hard part. Knowing what to type in the next ten minutes is. So here are the next ten minutes. Three steps, every command run (git 2.43.0), real output. Works the same in Git Bash on Windows, Terminal on macOS, and any Linux shell. Minute 1–3: tell Git who you are Every commit permanently records...

Your script calls the GitHub API with a fine-grained personal access token and gets 404 Not Found on a repository you can open in the browser. The URL is right. The repository exists. You will spend the next twenty minutes checking the URL anyway. Stop. With fine-grained tokens, 404 usually means not permitted , not not there . Why 404 and not 403 GitHub does not disclose the existence of resources you are not authorised to see. A private repository your token cannot reach...

AI Safety and Alignment: Building Trustworthy Agents That Do Not Fail You The Trust Problem As AI agents become more capable, trustworthiness becomes the critical differentiator. A model that is smart but unreliable is worse than useless — it is dangerous. The Safety Pyramid Building trustworthy AI requires layered defense : Level 1: Technical Robustness Error handling and edge case coverage Input validation and sanitization Gracef...

Multi-Modal AI: From Text to Vision and Beyond — The Unified Future The Single-Modality Limit For years, AI models were single-modality — text-only, image-only, or audio-only. This created silos: A text model cannot see images An image model cannot hear audio Each modality required separate training The problem : Real-world understanding is inherently multi-modal. The Breakthrough: Unified Encoders Modern multi-modal models use a shared l...

DeepSeek R1: The Open-Source Reasoning Revolution That Changes Everything The Reasoning Problem Traditional LLMs generate text token by token, left to right. This autoregressive approach works for simple tasks but struggles with complex reasoning, math, and multi-step logic. The core problem : How do you get an LLM to think before answering? The Solution: Mixture of Experts (MoE) DeepSeek R1 uses a Mixture of Experts architecture combined with Reinf...

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