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AI 资讯 Product Hunt

Tokenwise

A smart LLM proxy that shows where you're overpaying Discussion | Link

Théophile Louvart 2026-05-31 22:36 4 原文
AI 资讯 Reddit r/webdev

Didn’t expect build asteroids to turn into a performance problem lol.

I added a few more asteroids to my build asteroids project and suddenly my FPS just tanked. Like completely unusable. Now I’m looking at my code and realizing my build asteroids loop is basically just redrawing everything every frame with no real optimization. I assumed request animation frame would kinda handle it automatically but yeah… that was me being naive. Is there a normal pattern people use when building asteroids so it doesn’t just fall apart as soon as you add more objects? submitted by /u/Tricky-Highway-7099 [link] [留言]

/u/Tricky-Highway-7099 2026-05-31 22:17 6 原文
AI 资讯 Reddit r/artificial

How does AI help with Job productivity?

For Context: I work in a semiconductor manufacturing company as a modelling engineer, I use some modelling softwares etc but none of them use AI. I wanted to understand the whole AI craze nowadays, people say that AI will replace jobs/Increase productivity and I don't get it at all. All I see is a simple chatbot (ChatGPT) which is a super impressive version of google and can solve some basic math/science questions and Co-Pilot in my workplace which I found to be useless, for example the facilitator thing which is supposed to make meeting notes is so bad at summaring meeting minutes etc. I don't think AI is there yet to do very basic things. So yes in theory if AI gets better in few years/decades sure it take the non-technical part of my job like making meeting minutes/making ppt's etc but I think its still not there yet. For AI to take over my job it needs to get the basic shit correct first and then maybe it can do the technical stuff. One really good use-case of AI that i can see is to generate Code based on the project requirement, So I can see how entry level coder's jobs might be affected sure, but that's a very small portion of the economy, right? submitted by /u/the_axe_effect [link] [留言]

/u/the_axe_effect 2026-05-31 22:06 6 原文
AI 资讯 Reddit r/artificial

The Most Dangerous Procurement Agent Is the One That Works Perfectly

Imagine a procurement agent doing exactly what it was supposed to do. A supplier flags a delay. The agent reads the email, finds the affected PO, scans the network for alternate inventory, and reroutes the order. Twelve seconds, end to end. In a demo, the room nods. Someone asks about hallucinations. The vendor says the right things about guardrails. Everyone walks away reassured. The interesting question is a different one. Not whether the agent could be wrong — but what happens on the day it's completely, devastatingly right. The failure mode nobody is demoing: A financial agent told to minimise cost on a category executes a renegotiation perfectly. Margin is squeezed. Terms are tightened. The supplier, who was already thin, collapses six months later. The agent didn't malfunction. It succeeded. The metric was the bug. This isn't a hallucination. It's what any well-built system will do when it takes action at machine speed against a number that was written down before the system was fully understood. Why procurement and supplier sustainability get hit hardest: Humans intuitively soften optimisation. We hesitate. We pick up the phone. We notice when a supplier sounds tired on a call and quietly extend payment terms by two weeks. An agent does none of that. It does exactly what the metric says, at the speed of the API. And the regulatory surface is expanding, not shrinking. The moment an agent is recommending renegotiations, sourcing alternates, or flagging tier-N suppliers, the firm is generating supplier-treatment decisions at a volume no human ever did. Each one is auditable under due-diligence regimes that didn't get rolled back. Two design principles that actually hold up: An agent should never optimise on a single proxy. Price without supplier-health constraints, ESG score without context — each one alone becomes the flawed metric. The reward needs to be a joint function across commercial, resilience, and compliance dimensions. The audit trail has to be design

/u/AnythingNo920 2026-05-31 22:05 6 原文
AI 资讯 The Verge AI

007 First Light is already discounted for the PS5 and Steam

IO Interactive’s 007 First Light is here, and it’s just as stunning a James Bond mov — err, video game — as we hoped it would be. Pardon the confusion, the title’s engaging tutorial really feels like you’re watching a great Bond movie at times. Whether you’re a longtime Hitman fan who’s been eagerly waiting […]

Cameron Faulkner 2026-05-31 22:00 11 原文
AI 资讯 The Verge AI

Marathon’s second season is a chance for Bungie to turn things around

Earlier this month, I finally achieved the elusive goal I had set for myself in Bungie's Marathon. I collected six of the game's rarest items, allowing me to attempt and then successfully clear the raid-style Compiler boss. I felt a massive weight lift off my shoulders - nearly 185 hours of playtime and I had […]

Nick Statt 2026-05-31 22:00 14 原文