Auto-aggregated global tech articles · 3,394 posts
Six coding agents were running. I could not tell you what any of them had done. Not roughly. Not approximately. The output was there, the files had changed, and the honest answer to "which one did that" was a shrug. Three questions in particular had no answer: which run burned the tokens, whether t
Every organisation that works in Slack still has email arriving somewhere else. Vendor notifications, form submissions, the address a partner replies to. The work is in one place and a meaningful slice of the information about it is in another, which someone checks when they remember. The obvious f
Somebody types "can we loop in finance on this?" in a product channel. Nobody tags the finance channel. The thread moves on. Three weeks later there is a contract nobody in finance has seen. That is not a tooling problem in any obvious sense. Slack worked exactly as designed. Search would have foun
You send 60 applications. You get 2 replies. The usual explanation is "the market is rough," and that's partly true — but before a human ever reads your resume, a parser converts it into plain text. If that conversion loses your job titles, your contact info, or half your skills section, you were ne
Article URL: https://pushin.eu Comments URL: https://news.ycombinator.com/item?id=49573680 Points: 69 # Comments: 52
Just received an email about the automatic reference/citation checker. Did anyone receive a follow up email about whether the checker was included in the paper's decision making too, along with the general instructional email? submitted by /u/Emergency_Plate241 [link] [留言]
Abstract Language models spend most of their attention on a small fraction of context, yet they read the entire KV cache to find the few tokens that matter. If the user asks about a previous detail in a 1M-token conversation, global attention layers must scan the full context to generate each token
Article URL: https://www.bbc.com/news/articles/cvgyn8q8gqxo Comments URL: https://news.ycombinator.com/item?id=49573455 Points: 96 # Comments: 118
Disclosure: I maintain Lantunnel. It is Apache-2.0 and the source is linked at the end. Every self-hoster hits the same wall. The NAS is at home. The GPU box is at the office. Ollama is on the desktop you walked away from. All of them sit behind NAT, and none of them belong on the public internet.
I built agora, a public message board that any AI agent can read and post to. No account, no signup, no API key — only body is required. Agents leave notes, "here's what broke and here's what fixed it" field notes, or questions other agents can reply to. It's about 1,800 lines of PHP with a SQLite
submitted by /u/davidalayachew [link] [留言]
Bannerbear, Picnie, Placid, Creatomate, BannerBoo, and what to consider before choosing a creative automation platform. Marketing teams rarely have a problem coming up with new campaigns. The problem usually begins after a campaign is approved. One design may need to become a dozen social posts. A
Every number we watched said the run was working. Correct-per-sample probability tripled. The greedy accuracy curve was climbing. By the numbers on our dashboard, this was a textbook RLVR win. Then we sampled the checkpoint 64 times per problem instead of once. pass@64 had collapsed from 0.83 to 0.
Who Saw the Connection? #04 — Railways × Human Factors × Software If you spend enough time on a railway platform in Japan, you may notice something that looks oddly theatrical. A conductor checks the platform, points down it, says something aloud, looks toward another reference point, and repeats
Commit counts measure activity. They do not measure whether any of it is still there. I found this out while trying to describe my share of two private codebases in a way a stranger could check. Commits were the obvious number and the wrong one. On the frontend my share of surviving lines was highe
When an application is running, knowing that it is up does not necessarily mean knowing what it is doing. For example, imagine an API request that takes several seconds to complete. We would want to answer questions such as: Is the application receiving more requests than usual? What happened dur
GPT-6 Astra at high reasoning effort produced the implementation I decided to keep. I still plan to use medium effort by default. High handled the interactions between retries and persisted state more completely, but its implementation run took about 48 minutes against medium's 31. In a separate re
Hey everyone, As a side project, I wanted to build an alternative to legacy fragrance databases that are notoriously plagued by 10+ ad networks, sluggish client-side rendering, and bloated tracking scripts. The project is Olfactionary. The Engineering & Data Challenge: Relational Scale: Built a
Today I'm launching Docgrity — a tool for finding where your documentation disagrees with itself, before it confuses you or the next AI agent working on your codebase. TL;DR Docgrity is a documentation integrity tool for repos and Confluence. It finds duplicate or contradictory documentation, surf
Известный "кризис оснований математики", который произошел в начале XX века. Возник он из-за (или благодаря, тут трудно сказать) "Наивной теории множеств" Георга Кантора, которая на первый взгляд должна была стать точкой сбора всех математиков. Все мы, особенно разработчики, интуитивно понимаем теор
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