Auto-aggregated global tech articles · 3,394 posts
ACL just announced on X how they are planning to handle the increased submission numbers. Interestingly enough, they call it "the proposal". My understanding is that, in a nutshell, each submission should come with someone who can review, otherwise it may only get a slot through a lottery. Additiona
Article URL: https://www.conviva.ai/resource/we-replaced-mmap-with-io_uring-in-our-rust-query-engine-it-got-slower/ Comments URL: https://news.ycombinator.com/item?id=49653882 Points: 17 # Comments: 9
Somewhere in your system the same fact is stored twice. A count in a column and the rows it is counting. A status on the order and a status on the payment. An email in the profile service and the same email in the list you send from. Today they agree. They will not agree forever. Drift does no
Our integration suite had been green for eleven weeks. That is not a boast, it is the symptom. A colleague onboarding to the repo wrote a deliberately broken test to see what a failure looked like, pushed it, and the pipeline went green in the usual four minutes. The stage was a single shell step,
I have 23 audit Actors on the Apify Store. They all do a version of the same thing: take a public record, check whether what it still claims is true, and write the verdict into a dataset. Last week I set out to prove they were unsafe for AI agents to chain together. I had a specific accusation in m
Originally published at deepu.tech. When the whole AI coding frenzy started, I was still skeptical. Like most tech enthusiasts, I tried it but wasn't that impressed by the models' coding capabilities back then. I still used them, but mostly as an autocomplete tool in VS Code. This all changed for m
Vue has no shortage of icon sets. Carets and chevrons come in every pack. Geography is the thin part of the shelf: where a set covers countries at all, it usually means flag squares rather than map shapes. GeoIcons ships country, area, and subdivision icons as individual Vue 3 components, 799 of the
I Asked My AI Assistant to Automate Our Dev Marketing. Here Are the Mistakes It Made. Over the last 48 hours, while building out automated data scrapers on our cloud servers, I conducted an experiment: I asked my AI coding agent to help design and automate our technical marketing and build-in-publ
I have about thirty Actors on the Apify Store. Making one of them available to an AI agent through the Apify MCP server took me two minutes: add ?actors=lergassy/jobs-api to the server URL and the Actor shows up as a tool. That part is a footnote. The useful part was what came back. I spent an afte
Last time I wrote about picking out and reaping only the "orphaned Chrome" processes. This time it's the monitoring script sitting right next to it, mem-hog-guard.sh. It could detect the problem just fine, but had no permission to kill anything, so all it ever did was send a notification. Here's how
For a gaming voice lobby, the least complex design that still gives operators trustworthy evidence is a small audit stream beside the media path: emit immutable events, attach a monotonic sequence, fan them out to dashboard consumers, and record what each consumer actually received. Treating an audi
How to Give Claude or GPT Real-Time Product Data via Apify's MCP Server Ask Claude or ChatGPT to check the price of something on a random e-commerce site, and it'll either refuse (no browsing) or guess from stale training data. Even agents with browsing turn up empty-handed more often than you'd e
I have a few web projects with pretty good UI/UX and I’m wondering if there’s any tool or workflow that can turn an existing codebase into a dataset for fine tuning. For example, given a React/Next.js project with components, pages, styling, etc. or a static html site, I’d like to turn it into somet
A final-year PhD student here. A few months back, I submitted a solo-authored paper to TMLR. The reviewers were on time and extremely positive, with some minor revisions. After submitting the revised version, there was absolute silence from the reviewers, with just one acknowledging that their conce
Featured on Vercel 3 engineers supporting 3 brands and 100,000+ users on Vercel Migrated 374 Sanity sites from AWS Elastic Beanstalk to VercelAI SDK and AI Gateway power Featured's chat bot across 17 modelsWorkflow SDK replaced custom long-running job infrastructureFeatured is a co-pilot for public
Tailscale on VercelHundreds of AI models shipped to customers in-productModel access granted and revoked by tailnet network identityWent from model routing prototype to paying customers in monthsTailscale connects a company's laptops, servers, cloud instances, and personal devices into one private n
been thinking about this lately. I have a service at work where the code is genuinely ugly (bad naming, some duplicated logic, not fun to read) but it's been running reliably for two years and never caused an incident. separately there's a cleaner-looking module that's caused three rollbacks this qu
The title literally means: "I have parallel dataloaders, GPU kernels and a high-performance computing programming language all expressed in a framework with 1400 lines of code". You may run the ResNet-18 benchmark yourself (github.com/NoSavedDATA/Neve_benchmarks) I released the Neve programming la
So here's the thing. I made a package called UI Tools, and some early versions were flagged for a serious security vulnerability involving its terminal feature. The affected versions were 0.1.0-beta through 0.1.8-beta. The problem was that the terminal functionality did not have adequate authentic
7 Vulnerability Patterns I Found in AI-Generated Code (and How to Catch Them) If you've used GitHub Copilot, Claude Code, or any AI coding assistant for more than a few weeks, you've probably shipped at least one of the bugs in this post without realizing it. Not because the AI is bad at coding —
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![ACL Sustainable Reviewing Policy [D]](/storage/uploads/covers/2026/09/d2d837d5-8496-436c-ada7-069176f5c5ad.webp)
![Any tools to turn a codebase into a fine tuning dataset? [D]](/storage/uploads/covers/2026/09/062c5f60-695c-489f-bf65-8afbf1cb2dd7.webp)
![Why is TMLR so slow in recent times [D]](/storage/uploads/covers/2026/09/4467ce55-c668-4da6-b085-3c7f17527943.webp)
