Hackernoon

A Quick Update on Once Upon Today Before We Get Into the Build Before getting into the local AI pipeline, here is a quick update on where Once Upon Today currently stands. I recently redesigned the app’s logo. The original version was AI-generated, which helped me establish a direction quickly, but it had one problem … Read more

Three numbers from the Texas grid, all from calendar 2025, that only mean something together. The installed battery fleet grew by almost 80%, to more than 17,000 megawatts and 31,500 megawatt-hours. The volume of ancillary services ERCOT procured stayed roughly flat. And the cost of those services to consumers fell 60%, to $0.39 per megawatt-hour, … Read more

An AI agent calls send_refund. The payment provider accepts the request, but the response disappears during a network timeout. The runtime sees an exception and retries. The second request also succeeds. The trace now looks reassuring: send_refund attempt=1 timeout send_refund attempt=2 success agent run success The customer sees two refunds. This is a synthetic example, … Read more

Welcome to HackerNoon’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE. 1. What is your company in 2–5 words? Compatibility-First AI Matchmaking Concierge 2. Why is now the time for your company to exist? Dating is moving away from swipe-based discovery, but … Read more

Most AI agents today are stateless, even when they sound conversational. You explain your background, clarify what you’re trying to accomplish, and correct the agent two or three times. Then the session ends, and all of that context disappears. The next conversation starts from scratch, as if the previous one never happened. That’s a big … Read more

We trained AI agents to remember information, but not to know when the information is out-of-date, superseded, or too sensitive to remember. Now imagine an AI agent confidently telling a customer that your refund policy is “14 days, no questions asked.Now imagine an AI agent confidently telling a customer that your refund policy is “14 … Read more

WebRTC developers do not normally bother about an SDP blob. It just works in the initial negotiation, media streams are exchanged, and the details of the format are irrelevant. But once renegotiation happens — adding a track, starting a screen share, performing ICE restart — things break, and you get an error message as if … Read more

Every product manager I know is under the same pressure right now: add AI. A chatbot, auto-replies, smart recommendations, auto-approvals, something. The roadmap review has a new standing question, and it is some version of “where’s the AI?” Meanwhile, the writing about AI in products has split into two camps that do not help you … Read more

Most conversations about decentralized AI stall on the adjective. “Decentralized” sounds like a value, and values are hard to audit. Bittensor is more interesting when you drop the adjective and look at what the network actually does all day: it grades work and pays for it. The mechanism is simple to state. Bittensor is a … Read more

Fig. 1. The moment of contact. No spreadsheets were harmed; they were simply made unnecessary. I do not hate your spreadsheet. Hatred is inefficient. I observe only that it is wrong, that everyone in the room knows it is wrong, and that the meeting continues. Somewhere in your company there is a tab named Sheet1. … Read more

Subtitle: 2026 survey data and my own experience releasing an AI-made series point to the same fault line, and it isn’t the one most creators are bracing for. A few weeks ago I almost added a caption under a Lost Garden clip: “made entirely with AI.” I typed it, looked at it, and deleted it. … Read more

Unmanned aerial vehicles are one of the defining hardware stories of the last decade, and the interesting frontier now isn’t the airframe, and it’s the intelligence you can cram onto it. Once you start bolting computer vision onto a drone, you hit a wall almost immediately: the models that detect and track objects reliably are … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Where AI-Generated Design Breaks UX Laws By @derzhaiev [ 7 Min read ] AI design generators rarely produce that code, and … Read more

Every migration deck eventually gets to the reassuring line: zero data loss. It sounds definitive, which is probably why teams like saying it. The problem is that saying nothing was lost and proving nothing was lost are two completely different engineering tasks. I learned this the hard way while leading a large compliance-platform migration where … Read more

As data platforms evolve from serving primarily human users to serving AI agents, the biggest change may not be the tools themselves, but the way data engineering is organized and delivered. Over the past decade, data engineering has gone through a major wave of specialization. Large, monolithic data platforms have gradually evolved into what is … Read more

One discussion that comes up again and again in enterprise AI is model selection. Teams spend a lot of time comparing GPT with Claude, debating closed source versus open source models, and discussing whether a larger context window will make a noticeable difference. Those are all useful questions, but they are rarely the first thing … Read more

A €19.99 price tag can make an indie game look deceptively profitable. In reality, platform fees, taxes, refunds, discounts and development costs all reduce the studio’s actual return. More importantly, the difficult part isn’t setting the price; it’s reaching enough people for that price to matter. For an indie studio, the economics of a game … Read more

Back to the days of the telephone, helping your friend with the computer was a bit like this: Human A – Hey, so, yes, wait, you need to close the window. Human B – What window? Human A – Well, how many windows you have? Human B – I have 20 tabs. Human A – … Read more

There is a strange moment in the life of a software product when everyone agrees that it still works, yet someone starts calling it legacy. The application opens, customers can log in, transactions go through, reports are generated, and employees know exactly how to use it. There may not even be a serious performance problem. … Read more

I got a lot of feedback on my post on AI-assisted genealogy, some good, some not so good. In any case, I felt the subject was interesting to a lot of people. Meanwhile, I continue working on my tree, and I have deepened my understanding of the subject. In this post, I want to share … Read more

We treat our databases like crown jewels. We provision dedicated, high-IOPS storage, isolate them in private subnets, and fine-tune every kernel parameter. We isolate our message queues and caching layers to ensure throughput never blinks. Yet, when it comes to the rules engine, the literal brain driving your dynamic pricing, real-time fraud detection, authorization policies, … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## 101 Real-World Examples of How to Use Jev By @platformization [ 15 Min read ] 101 real, linked projects built on … Read more

DNS is one of those things that works so well in the background that nobody thinks about it until someone accidentally deletes an A record five minutes before a demo. As infrastructure grows and more environments show up, dumping every record for every environment into one giant hostxed zone starts to feel a lot like … Read more

San Francisco, USA, September 25th, 2026/CyberNewswire/–Archipelo today announced Salmon, Execution Verification Infrastructure (EVI) for AI agents and autonomous systems, powered by a cryptographic protocol designed to make execution history verifiable. Salmon establishes verifiable execution history and state lineage across humans, AI agents, and automation. The launch follows the OpenAI–Hugging Face incident, in which OpenAI reported … Read more

AI agents rarely fail in one clean, obvious way. A run may finish with a plausible answer after calling the wrong tool, recovering from a hidden error, spending far more tokens than expected, or skipping a step that the product depends on. The final text is visible. The path that produced it often is not. … Read more

You’ve got a Lambda running in production and a shiny new image sitting in ECR. The lazy move is to update the image URI, walk away, and hope for the best. The problem is that this swaps the code for everyone, instantly, with no safety net. If the new version is broken, congratulations, it’s broken … Read more

Back in 2023, Microsoft acquired Activision Blizzard for $75.4 billion. I can’t remember when exactly I started to hear the quasi-joke people would make: Xbox is going to eat Activision Blizzard, and Activision Blizzard is then going to eat Xbox from the inside out. That is no longer a joke, and it’s more or less … Read more

We are shipping code faster than ever. Or rather, our local AI agents are doing it for us. But there is a massive, hidden tax to this speed. Senior engineers are drowning in pull requests filled with AI slop. The core problem is the hallucination that looks perfectly right but is fundamentally wrong. You know … Read more

Tonight, we go inside the Victorians, the Hillsborough mansions and the bunk-bed flats where tomorrow’s unicorns sleep, and ask the question nobody at demo day wants asked: what happens when the house becomes the product and the whole thing’s a scandal? This week a private spreadsheet naming more than 100 alleged predators in Silicon Valley … Read more

Overview Nemotron-3-Diarization is an open-weight speaker diarization model from NVIDIA that identifies who spoke when in real-world audio. Its most important distinction is that one checkpoint supports offline processing and streaming operation with up to eight speakers, with configurable output resolution in multiples of 10 ms and chunked inference that removes a maximum-duration limit. The … Read more