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Learn how rogue-key attacks exploit naive BLS signature aggregation, with a Python demonstration and three defenses against malicious public keys.

Learn how to write cleaner Python with enumerate, zip, generator expressions, itertools, and functional tools for readable, memory-efficient data processing.

Explore how large enterprises build scalable data platforms using lakehouses, batch and streaming pipelines, data mesh, governance, and layered architectures.

Learn how hybrid AI routers select models by task complexity, privacy, and cost, with fallbacks, cascades, and a phased deployment strategy.

Revisiting Google's Paxos Made Live paper to explore what consensus, lease management, recovery, and fault testing teach modern AI engineers.

Learn when to use Python asyncio, threading, or multiprocessing to improve API performance, handle I/O efficiently, and scale CPU-intensive workloads.

Can privately owned Level 4 cars really work? A look at Tensor's Robocar, the retreat from Level 3, and the economics of personal robotaxis.

How to size hardware for a local LLM: weights, KV cache and memory bandwidth, checked against official specs for 12 open models and 9 GPUs and Macs.

Learn everything you need to know about Hackathon via these 85 free HackerNoon blog posts.

10/18/2026: Trending stories on Hackernoon today!

Rep. Ritchie Torres of New York's 15th congressional district in the Bronx introduced the Power To The Players Act this week. If passed, the bill would direct the Federal Trade Commission to establish regulations that guarantee consumers ownership of a game when they pay for it, rather than a licensing agreement. It's increasingly common for […]

Carolyn Marvin was arrested and charged with disorderly conduct after blocking the path of an Uber delivery robot and refusing to get out of the way. Marvin told Philadelphia's ABC13 "I know they're taking the jobs of human delivery workers and so, I have been protesting them whenever I saw them by standing in front […]

Mister Organ doesn't reach the level of societal horror of The Act of Killing or the creepypasta-meets-true-crime gruesomeness of Beware the Slenderman, but there's something deeply unsettling about Michael Organ and his intimate campaign of terror against everyone who enters his life. Mister Organ is a documentary by David Farrier, an Auckland, New Zealand journalist. […]

Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, the role AI is playing in it.

The filing also says that the “vast majority” of Character.AI employees who were offered jobs at Disney accepted them. However, this is a stalking horse bid, so another company could come forward with a higher offer.

"You Can See Everything" is having the second biggest opening weekend ever for a documentary film.

"No logs" is the most common promise in VPN marketing. It is also the hardest one for a buyer to check. A privacy policy can say "no logs" in the headline and describe, a few paragraphs later, which connection data it keeps and for how long. At VPNRadarLab we score VPN services only from what the providers publish: privacy policies, audit reports, apps, jurisdictions, prices. That makes it possible to put three questions side by side for every service in the ranking. Does it promise no logs? ...

What I Built TutorSaathi AI is an AI-powered teaching assistant designed to help English tutors and coaching centers create personalized learning materials for Hindi-speaking students. Many students understand English grammar rules but struggle to use English in everyday conversations. At the same time, tutors spend hours preparing worksheets, quizzes, translations, and practice exercises for their students. TutorSaathi AI aims to make this process faster and more accessible. ...

Over the last two decades, digital payments have become an integral part of our everyday lives. Today, we can send money across borders, purchase goods using mobile wallets, and transfer digital assets without necessarily relying on traditional financial intermediaries. Despite these advances, one fundamental challenge remains: accessibility. For people living in rural communities, traders operating in areas with unreliable mobile networks, and businesses experiencing network congestion, comp...

This is a submission for the Hacktoberfest 2026 Open-Source AI Challenge, Week 2: Side Hustle . Try it before you read anything: tariff-desk.onrender.com . Click "Soy candle", or type something you sell. No login. In short: describe something you make and Tariff Desk gives you its 10-digit US customs code, or asks you one question if your description is too vague to classify. When it says it's sure, it matches US Customs' own ruling 66% of the time, on rulings issued after th...

What I Built ReLoopAI — Discover opportunities in waste. Turn ideas into possibilities. ReLoopAI is an AI-powered application designed to help people discover potential business opportunities hidden in everyday waste materials. Waste is often seen as something with no value, but many discarded materials can inspire creative reuse, recycling, and sustainable products. ReLoopAI uses AI to help users explore these possibilities and turn a simple waste material into a starting point for ...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built Cold pitches in Lagos fail because they say nothing Freelancers in Lagos who sell to local businesses (video editors, web designers, social media managers) find most of their clients one WhatsApp message at a time. Most of those messages look the same: "Hi, I edit videos, let me know if you need anything." They get ignored. A pitch that gets a reply ...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle An AI-powered business assistant for freelance video creators, built with Gemma and Ollama. Freelance video creators spend a lot of time doing work that happens before the camera even comes out. A client sends a rough message. You figure out exactly what they need, decide what to charge, prepare a proposal, plan the shoot, define revisions, and work out when everything should be delivered. Th...

What a I learnt about outcome definitions, patient-grouped splits and honest metrics while predicting hospital readmission with scikit-learn. The problem Hospital readmission is expensive for health systems and harmful for patients. For people with diabetes, a return to hospital often signals gaps in glycaemic control, medication reconciliation or follow-up. If a hospital could identify, before discharge, which patients are most likely to return, it could target scarce follow...

Short answer: for a scheduled daily report email backend, use cron to start one coordinator, then put one durable, idempotent delivery job per subscriber behind it; direct sending is simpler only while rerunning the whole audience is an acceptable recovery plan. For an edtech shipment update, the dominant billable term is usually shaped by fan-out, not by the single 02:00 trigger. If a run has S eligible subscribers, the system attempts roughly S email deliveries, while scheduling happens...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle TL;DR — Photograph one page of a shop's handwritten credit notebook. An open-weight model reads it (a deterministic parser takes over when there is no key), the shopkeeper confirms every line, the balances follow, and each customer gets a polite WhatsApp reminder in their own language . The AI does the reading; the shopkeeper does the deciding. Repo: https://github.com/ramantiw45/UdhaarBook ...

If you vibe-code, read this before you share anything you built. An agent can produce a working app in an afternoon. What it cannot do is check that the app works on a second machine, with a second person, or after a restart. That gap is where most vibe-coded projects break, and it is what these five habits close. 1. Run it from a clean copy Your machine has things the repository does not: a global tool, an old environment variable, a file you never committed. Clone the project i...

We run a small on-prem inference fleet - four nodes, mixed A6000 and 4090 cards - and last quarter we replaced a pile of hand-rolled docker run wrappers with GPUStack. The pitch is reasonable: one control plane that schedules models across whatever GPUs you happen to own, materialises a backend per deployment, and exposes an OpenAI-compatible endpoint. Two months in, it does what it says. It also has a specific failure boundary that cost us a weekend, and that part is worth writing down. ...

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Presentation by Jeff Pele at Software You Can Love Vancouver 2026 Comments