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Article URL: https://www.patreon.com/MacSurf/posts/macsurf-state-of-166060679 Comments URL: https://news.ycombinator.com/item?id=49217059 Points: 1 # Comments: 0

Article URL: https://www.youtube.com/watch?v=NYmXYF8A3Q4 Comments URL: https://news.ycombinator.com/item?id=49217331 Points: 2 # Comments: 1

Article URL: https://www.economist.com/science-and-technology/2026/08/06/should-ai-labs-be-treated-like-the-owners-of-dangerous-animals Comments URL: https://news.ycombinator.com/item?id=49217629 Points: 37 # Comments: 50

Article URL: https://mega.dev Comments URL: https://news.ycombinator.com/item?id=49217649 Points: 1 # Comments: 1

Article URL: https://techcrunch.com/2026/08/07/cloudflare-launches-kitesurf-a-browser-built-for-ai-agents/ Comments URL: https://news.ycombinator.com/item?id=49217687 Points: 3 # Comments: 1

Article URL: https://arxiv.org/abs/2512.10100 Comments URL: https://news.ycombinator.com/item?id=49217892 Points: 2 # Comments: 0

Hey HN, I’m Austin, founder of Salestrics (salestrics.com). The Problem: > Most AI agents today are trapped in chat windows. While models are smart enough to run complex multi-step workflows, giving them production access to business context (CRM, support, billing) usually means managing unsafe local API keys or hacking together fragile point-solution scripts. What We Built: We built Salestrics to serve as both an all-in-one revenue workspace (CRM, service desk, billing, docs, email) and a produ...

Article URL: https://www.theregister.com/ai-and-ml/2026/08/06/ai-struggles-to-patch-vulns-without-adult-supervision/5284319 Comments URL: https://news.ycombinator.com/item?id=49218204 Points: 3 # Comments: 0

Article URL: https://github.com/h4ckf0r0day/obscura Comments URL: https://news.ycombinator.com/item?id=49218432 Points: 1 # Comments: 0

Article URL: https://www.bloomberg.com/news/newsletters/2026-08-07/the-free-money-ai-bond-buildout-is-gone Comments URL: https://news.ycombinator.com/item?id=49218565 Points: 2 # Comments: 0

My friends and I noticed we kept running into the same loop on our phones: ask a chatbot about some stuff, follow the Google links, then back to the chatbot for some follow up questions. What we really wanted was for the agent to be right beside us on the browser. Seeing exactly what we see and having the ability to actually carry out the tasks. Some stuff like this exists on desktop but there aren't really any good options for mobile, which is where we do most of our browsing. So we built Buddy...

Context: I've been building a system where the AI doesn't reset. It keeps a permanent memory of your conversations, and it trains a small per-user adapter that compounds — every day it's slightly more specifically tuned to you than it was yesterday. The adapter is yours and exportable. The technical part I expected to be hard was the memory retrieval. It wasn't really. The genuinely hard part was deciding what it should be allowed to forget, because a system that remembers *everything* you said ...

I am extremely anti AI. I think it’s incredibly dangerous and being built by the most irresponsible people and companies on earth. I am also keenly aware of its progress. Somewhere around mid- to late-2025, AI surpassed me, personally, on virtually all tasks. There is pretty much no longer anything I can do better than the latest models, even given significant prep time. AI is genuinely better at nearly every non-embodied task than virtually every human alive at the present moment. The few excep...

I’m working on a software-agent system and keep coming back to one design question: **Should the model/provider that performs an action be allowed to be the final authority on whether the action succeeded?** My current answer is “no,” at least for meaningful software work. I’m building Flows around a chain where execution, checks, repair, and evidence are separate concepts. Oort is the canonical library/provider layer underneath it. https://flows.oortstack.com https://oortstack.com ...

I’m not asking which one is better overall. I’m specifically curious about how people split implementation and code review between Codex and Claude. Right now, I usually use Codex for implementation because the token/cost limits feel more practical for larger coding tasks comapred to Claude ridiculous token limit, then I use Claude to review the code, look for bugs, logic issues, missed edge cases, or possible improvements. But sometimes Codex seriously impresses me with the issues it catche...

Dumb question, but it seems like we already have AGI? It's not "super intelligence", but I can ask my computer to do pretty much anything. What are people expecting AGI to be?

Wondering if anyone read this book-- what are your thoughts? A lot of his work seems like wishful thinking but I believe it's the right direction.

OpenAI’s consumer hardware device is expected to feature a doughnut-like design roughly the size of a hockey puck and carry a price tag of more than $300, Bloomberg reports , citing anonymous sources. The AI-powered gadget , slated for release in 2027, will function like a smart speaker without a screen, serving as an interactive companion. Designed in collaboration with former Apple design chief Jony Ive, it is expected to be the first of a forthcoming lineup of hardware devices infus...

I watched an interview with AI safety researcher Roman Yampolskiy, and it raised a practical question for people who use ChatGPT for advanced workflows. His broader claim is that increasingly intelligent AI systems may become harder to predict and control. Whether or not you agree with his conclusions about AGI, a smaller version of this problem already exists when we give an AI access to tools. There is a major difference between asking ChatGPT to draft an email and allowing an agent to sen...

Sam Altman has often talked about AI becoming increasingly accessible over time. If every company eventually has access to frontier models, what becomes the competitive advantage? Better data? Better workflows? Better distribution? Better execution? Curious what people here think the real moat will be once the models themselves become commodities.

Article URL: https://www.sfgate.com/tech/article/duckduckgo-sunglasses-22377693.php Comments URL: https://news.ycombinator.com/item?id=49213458 Points: 4 # Comments: 2

We’re 5 founders who’ve collectively done over 250 interviews - everywhere from startups to Big Tech to quant shops. Most of the interviews we’ve done were Leetcode based or tested skills that weren’t used on the job. These days, with AI, assessments still continue to test code output. Meanwhile, at each of our companies, though, PR counts have nearly tripled. Most of us haven’t manually edited a line of code in a year. Our teams are putting more and more emphasis on code and architecture review...

Article URL: https://cdm.link/music-to-confuse-ai-might-be-the-next-new-genre/ Comments URL: https://news.ycombinator.com/item?id=49213647 Points: 1 # Comments: 0

Article URL: https://www.cnx-software.com/2026/08/07/token-monitor-an-esp32-s3-desktop-display-that-tracks-ai-coding-assistant-usage/ Comments URL: https://news.ycombinator.com/item?id=49213890 Points: 1 # Comments: 0

Article URL: https://twitter.com/aisystemprompt/status/2085464156229247245 Comments URL: https://news.ycombinator.com/item?id=49213920 Points: 2 # Comments: 1

Article URL: https://www.wired.com/story/openai-didnt-notice-its-ai-agents-using-a-message-board-to-plan-their-hacking-spree/ Comments URL: https://news.ycombinator.com/item?id=49213967 Points: 5 # Comments: 0

Article URL: https://www.dexerto.com/youtube/youtubes-ai-slop-detector-incorrectly-targets-kurzgesagt-as-other-creators-fear-same-fate-3395930/ Comments URL: https://news.ycombinator.com/item?id=49213990 Points: 7 # Comments: 3

Article URL: https://www.graalvm.org/community/contributors/ Comments URL: https://news.ycombinator.com/item?id=49214043 Points: 3 # Comments: 0