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We measured four markup formats with one tokenizer. TSX costs 94% more than Pug, and the attribute everyone blames for it turns out to cost nothing.

Cropping AI video after generation can discard 68% of your pixels. Here's how to pick the right aspect ratio before you generate a single clip.

Why working automations still create broken customer journeys, and the five-layer lifecycle architecture that fixes coordination, not content

A plane bearing an Amazon logo overran the runway at Miami International Airport on Sunday during landing, crashing into vehicles and resulting in multiple injuries. The extent of the damage or the seriousness of the injuries was not clear at the time of publication. In the aftermath of the incident, the FAA released a statement […]

The Seattle Times and Newsday are just the latest plaintiffs to take OpenAI to court, alleging copyright infringement. The two outlets say the company used their journalism as training data for its AI models without permission and often reproduces passages from their reporting in response to user queries. This is similar to lawsuits filed by […]

Authors say publishers seem to be claiming more than their fair share of settlement payments.

Schiller reportedly had reservations about new CEO John Ternus' goal of bringing in more recurring revenue from the App Store.

I'm Alex, 19, Ipswich. For the last month I've been doing something tedious: taking a UK town and a trade - "hairdressers, Wakefield", "accountants, Bristol" - opening every business's own website, and writing down what's wrong with it. Not "the design is dated". Things you can measure: does the bare domain resolve, does www, is the certificate valid, is there a published email address, does the contact form deliver a test message. What breaks, in order of how often I see it: The publi...

This is a submission for Weekend Challenge: Generosity Edition What I Built Generosity has a targeting problem. Money follows attention, attention follows disasters, and disasters get covered where the cameras already are. The places that quietly need the most are often the places nobody is looking. So I went looking for them. Two Florida counties: County FEMA disasters (10yr) Poverty rate Doctors per 10k Alachua 21 21.2% 351.0 Gla...

For a year the loudest complaints in consumer AI have been about the meter: vanishing limits, tokens burning faster than the pricing page implied, a flat plan quietly behaving like a taxi fare. This week the grievance shifted one notch sideways, from “you’re metering what I paid for” to something blunter: you’re taking away what I paid for . Features removed. Browsers paywalled. Favourite models pulled. And, in the sharpest cases, a plan billed for credits that never arrived. The epicentre was ...

Building Adaptive AI Agents — Course Glossary Key terms for building AI agents that improve over time through behavior adaptation, knowledge adaptation, and weight adaptation. Foundations Agent A system that takes in information from its environment, reasons about what to do next using an LLM, and uses tools to act on that environment. An agent that also has memory can retain useful experience from past interactions instead of starting fresh each time. Harness The software scaffolding th...

This is a submission for Weekend Challenge: Generosity Edition What I Built Andrea has been waiting 174 days for someone to reply to his issue. He asked nicely. He labelled it help wanted . Someone who knows Rust could answer him tonight in ten minutes. They just don't know he asked. There are 26,034 issues like his right now. People haven't stopped caring about open source. The ask and the person who could answer it simply never meet. unanswered introduces them. ...

I get distracted easily. If something isn't explained to me properly, step by step, it just doesn't stick, even if I've technically seen the right answer once already. So when I sat down to build a Power BI dashboard for a nonprofit client using their Google Analytics 4 data, I wasn't just trying to get a working file by the end of the day. I wanted to actually understand what I was doing, because at some point my client is going to ask me a question about it, and "I'm not sure, an AI did that p...

Ask an agent to check something on a website and most tools spin up a clean browser with zero cookies. Playwright and friends drive a browser they launched, with a profile of their own. MCP browser bridges need an MCP-capable client and a configured server. Either way you start every session logged out. chrome-bridge takes the other road: it drives the Chrome you are already logged into. A tiny unpacked extension talks over WebSocket to a local zero-dependency Node server, and any agent tha...

"Don’t put sensitive data into an AI prompt." I hear this advice a lot, and while it makes sense, I think it oversimplifies the problem. As more applications start using GenAI to summarize documents, answer questions, support employees, or process customer information, sensitive data is going to show up in some of these interactions. So instead of only asking whether sensitive data should enter a prompt, I think there is another useful question to ask: What actually happens to that data...

A security system can collect thousands of events. But collecting events is not the difficult part. The difficult part is deciding: Which events actually matter? This is where the Risk Engine becomes an important part of CyberMoranda CIDS. The purpose of the Risk Engine is not to simply assign a large number to suspicious activity. Its purpose is to combine security evidence, context, and behavior into a defensible risk decision. From Events to Risk A simplified CIDS ...

A scanner can identify an observation. It cannot, by itself, settle every business decision that follows. For an agency managing client websites, a useful report needs to bridge that gap. The reader should be able to identify the affected website, understand the evidence and decide who should investigate next. Here is a practical reporting structure we use in Glarion. The examples below are fictional and illustrate communication, not findings about a real customer's website. St...

Beyond the Transformer FFN: How CellularFlow Solves Catastrophic Forgetting with Multi-Head Associative Memory By Celcilin C S ( @celcilin ) A deep dive into replacing dense feed-forward networks with addressable DNA memory banks, achieving zero-backpropagation streaming learning, and preserving 83.9% domain retention. 1. The Elephant in the AI Room: Why Modern LLMs Forget If you take any state-of-the-art Large Language Model (LLaMA, Mistral, GPT-4) and train it sequen...

This is a submission for Weekend Challenge: Generosity Edition What I Built Proof of Good turns an everyday act of generosity into a documented, shareable impact record. Your bank remembers every transaction you make. But when you buy meals for students, help someone pay a bill, or give supplies to a community, what remembers the good you did? Usually, the evidence ends up as a bank statement, a receipt buried in your camera roll, or a story that eventually gets forgotten...

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9/6/2026: Trending stories on Hackernoon today!

AI agents complicate enterprise trust because identity alone cannot explain intent, delegated authority, or why a connection happened.

When should you use an LLM over a statistical model? Three real-world cases reveal how data, representation, and training determine which approach wins.

This paper, titled "AI Literacy Starts at Home: How to Actually Use AI and AI Agents in Everyday Life," argues that the real value of AI now lies in using AI ag

The off-the-shelf models are bad at Sanskrit largely because of tokenization and data scarcity

Article URL: https://d2lang.com/blog/d2-non-profit/ Comments URL: https://news.ycombinator.com/item?id=49589768 Points: 15 # Comments: 5