I run a production multi-agent AI system on a single M1 Mac in Jamaica. 6 autonomous agents. 26 cron workflows. 5-layer persistent memory. All containerized, all running 24/7. I checked my OpenRouter dashboard last week and realized something: I'd processed 2.4 billion tokens across 52 different AI models and spent a total of $0.52 . That's not a typo. Here's exactly where that money went and what it means. The Numbers Metric Value Total Requests 26,600+ Tokens Processed 2.4 Billion Models Used 52 Total Cost $0.52 Cost per Token $0.00000021 Tokens per Dollar 4.6 Million For context: GPT-4 Turbo costs about $0.00001 per token at scale. I'm running at roughly 50x below that rate. Where the $0.52 Actually Went Here's the breakdown by model: Model Requests Tokens Cost openrouter/owl-alpha 1,334 251.2M $0.00 nvidia/nemotron-3-super-120b 32 1.8M $0.00 google/gemma-4-31b-it 47 1.8M $0.00 openai/gpt-5 1 2.8K $0.03 google/gemini-3.1-pro-preview 1 3.2K $0.04 anthropic/claude-opus-4 1 2.0K $0.13 qwen/qwen3.5-plus 1 6.3K $0.01 z-ai/glm-5-turbo 1 3.0K $0.01 moonshotai/kimi-k2.5 2 4.1K $0.01 google/gemini-2.5-flash 2 5.5K $0.01 +42 other models ~125 ~8.5M ~$0.28 99.6% of my requests cost exactly $0.00. They ran on free-tier models or local inference. The $0.52 comes from a handful of premium model calls: Claude Opus, GPT-5, Gemini Pro. These are reserved for specific high-quality tasks — not everyday inference. What This Would Cost on Cloud Approach Hardware Monthly Cost Annual Cost My setup (M1 Mac) M1 Mac 16GB, local + free tier ~$0.09 ~$1.04 OpenRouter Paid Tier API-only, no local $15-30 $180-360 AWS (g4dn.xlarge + API) 1x T4 GPU, on-demand $350-500 $4,200-6,000 AWS (g5.xlarge + API) 1x A10G GPU, on-demand $700-1,000 $8,400-12,000 A $1,200 laptop replaces $500-1,000/month in cloud bills. The break-even point is about 2 weeks. How the Architecture Works The key insight: not every task needs a $20/month model . My system routes tasks intelligently: Local inference (free): Ollama

I’m a PAM engineer and recently had to handle a few cross‑tenant migrations in Delinea Secret Server. As many of you know, there’s no built‑in way to migrate secrets, folders, roles, or permissions between tenants (cloud ↔ cloud, on‑prem ↔ on‑prem, hybrid, etc.). To avoid doing everything manually, I built an unofficial PowerShell‑based tool to automate the process. Not a vendor, not selling anything — just sharing something I built because it solved a real problem for me. What it does: Full Windows GUI Export → validate → import → reconcile Folder/role/permission mapping Integrity checks Supports cloud, on‑prem, and hybrid Auto‑update logic for long‑term use If anyone else here works with Secret Server and has had to deal with tenant splits, mergers, rebuilds, or cloud migrations, this might save you some time. Github Link: https://github.com/vijayamohanreddy/delinea-secrets-server-migration-tool-unofficial Linkedin Article: https://www.linkedin.com/pulse/introducing-delinea-secret-server-crosstenant-tool-vijaya-reddy-vj--wy47c/?trackingId=vJ3%2F9%2Fw3RLSKlm%2F1kXig1Q%3D%3D Affiliation disclosure: I built this myself for my own work. Not affiliated with Delinea, not a vendor, not selling anything. Happy to answer questions or hear suggestions from others who’ve had to do Secret Server migrations.

I have an idea for an app but it requires payment to be done by escrow. I have absolutely no idea what I am doing, but I'm 20 so I just want to try a shot at this business Idea. I have build one or two websites with claude before, and it's alright. But when it comes to these issues, especially regarding payments in the thousands, I don't know if I should use AI for it. On the one hand, I don't have the money to hire a dev so I'd have to find investors which is extemely hard to, again, since I don't know what I'm doing, but on the other, I don't want to risk messing it up such that the payment doesn't go through because of a fault and someone who worked for hours wouldn't get the money he deserved and thus I'll be held legally. I could use some advice from those who've had experience in this field. P.S - Please suggest if you have other ideas I can use rather than escrow for payments submitted by /u/PeaceInLoneliness [link] [留言]

The company changed course after researchers spoke out against the policy, which would have covertly limited Claude’s ability to develop competing AI models.

AI support that learns your business and hands off to humans Discussion | Link

Did anyone else submit to ACM ICMI 2026? The reviews were recently released, and this is my first time submitting to ICMI, so I'm not very familiar with the acceptance patterns. I submitted a long paper and received the following overall ratings: 4 (Probably Accept), 3 (Borderline), 4 (Probably Accept) The reviewer with the highest stated expertise recommended acceptance, while the borderline reviewer had some concerns about soundness but still considered it a nice contribution. For those who have submitted to or reviewed for ICMI before, how would you interpret these scores? Is a 4/3/4 generally considered competitive after rebuttal, or is it still a long shot? Would appreciate any insights from past authors or reviewers. submitted by /u/kanishq95 [link] [留言]

If bots are going to take over the internet, then for whom are we doing web development? Bots? Source: https://radar.cloudflare.com/traffic#bot-vs-human submitted by /u/chota-kaka [link] [留言]

submitted by /u/davidalayachew [link] [留言]

Sorry for my dumb questions and bad English hope this is the right place to post to understand my concerns. I'm a new college student in computer programming but my degree is a just a 2 years studying for introducing courses, I've been studying all types of "Introduction to C++" "Introduction to computers" and those types of courses including the one for web development which caught my attention so much more than the rest and I feel it suits me more especially there is a back/front end and full stack which the person will do while studying, while other courses didn't get my attention, anyways, I've been thinking to study web development full stack by myself online or using books, and do some types of projects to self learn more because school barely cover a little, while looking around I always see that AI will take over this field of IT, and people talking about AI coding apps like "Cursor" which will make all of this really helpless, everytime I check I get different opinions and no real answers, I try to study online on YouTube or Udemy and each creator covers a different types with no clear path of this field, I just want to know if there is a specific way, like a source or a books or anything up-to-date about this field and how I can do it, so I thought this is the only place where I can ask people about it. Sorry for the long post and apologize my English. submitted by /u/Imaginary-Fox-7696 [link] [留言]

For me its summarizing long documents. The first draft looks convincing, but checking missing context and subtle mistakes can take almost as long as doing it manually. Curious which tasks other people expected AI to handle well but still end up reviewing line by line. submitted by /u/Delicious_Weekend546 [link] [留言]

submitted by /u/Vee_Fan38083 [link] [留言]

Docker logs without the logging stack Discussion | Link

https://preview.redd.it/tj6mb8uzxj6h1.png?width=2336&format=png&auto=webp&s=5576f4c3bcfb905fdc0154b5c45a46316be880dd I asked Apple directly about the current recommended way to guide users through installing a Progressive Web App from Safari on iOS. My question was dismissed. And every other question relating to it was dismissed or hidden after being published. The reason I asked is because the install flow for PWAs on iOS keeps getting harder to explain to normal users. In the latest iOS developer beta, the path appears to be something like: 3 Vertical Lines Share button Scroll down Add to Home Screen There is no obvious install prompt, no clear browser level affordance, and no simple language that maps to what people expect when they hear “install this app.” I understand Apple has its own platform incentives, but this affects real web products. For developers building web-first tools. The frustrating part is not just that the flow is bad. It is that Apple does not seem interested in acknowledging the issue when asked directly. Am I missing something here? How are other web developers handling PWA onboarding on iOS right now? Are you building custom instruction screens? Avoiding PWAs entirely? Sending users to the App Store instead? Or just accepting the drop-off? I attached the screenshot because I think this is worth discussing more publicly. submitted by /u/Jacoby_Broadnax [link] [留言]

"I don't prompt Claude anymore. My job is to write loops." — Boris Cherny, Claude Code creator Though I see where he's coming from, I'd put it differently. A developer's job isn't to write loops. It's to design state machines. Every major agent framework — Claude Code, Codex, Cursor, LangGraph — does the same thing under the hood. A while loop calls an LLM, checks if it wants to use a tool, runs the tool, repeats until done. The loop isn't just a solved problem. It's a boring problem. The hard part is everything around it. A loop has no idea what state the work is in. It just keeps going until something breaks or you run out of tokens. That's the Ralph Loop — named after the Simpsons kid who put a crayon in his nose. Agent, infinite loop, go. The Ralph Loop works, is famous, and has zero memory of where it is in the job. Like Ralph, it keeps going without knowing why. The Fix: A Finite State Machine Think about the NBA Finals. The Spurs and the Knicks aren't improvising — every possession has a state. Fast break. Inbound play. Half court set. Each one has specific reads and triggers for what happens next. Point guard De'Aaron Fox isn't making it up as he goes. The system tells him what situation he's in, and the situation tells him what to do. Your agent works the same way. You define the stages — planning, implementing, reviewing, error handling — and you define what triggers each transition. The agent doesn't orchestrate. It executes. One focused job per state. Why This Matters in Production When agents break, it's almost always one of three things: Infinite loops — one system repeated the same answer 58 times before anyone noticed. Context overflow — the history gets so long the model starts quietly forgetting things. Goal drift — 70 turns in, "don't touch auth" has completely evaporated. State machines fix all three. The loop runs until the list is empty, not until you run out of tokens. The goal lives in the transition logic, not in the context getting squeezed

Save anything with a screenshot. Discussion | Link