Hacker News ReaderTop Best

iOS 27, iPadOS 27, and macOS 27 | 31

iOS 27, iPadOS 27, and macOS 27

apple.com

Major updates for Apple’s software platforms are now available - Apple

Apple’s latest software updates introduce Siri AI and deliver helpful new Apple Intelligence features.

Distributed Systems Classics (2017) | 9

nvartolomei.com

Distributed Systems Classics

A selected list of timeless and influential papers in distributed systems that shaped the research in the field. Intended to serve as a good…

Why don't machine learning research agents overfit? | 7

CompressionModels-03-16x9.png
amazon.science

Why machine learning research agents don't overfit — and what compression has to do with it - Amazon Science

New research shows that AI agents — like human research communities — learn strategies compressible enough to fit in a few tokens, which prevents memorization and explains why benchmark-driven ML keeps producing real progress.

Principles for Fast Tokio Applications | 2

dial9-rs.github.io

Principles for fast Tokio applications

A microscope for Tokio and Rust applications

Show HN: Neobrutalism.dev – Just added Base UI support and added new color theme | 15

neobrutalism.dev

Neobrutalism components - Start making neobrutalism layouts today

A collection of neobrutalism-styled components based on shadcn/ui.

Steam Frame starts at $1059 | 16

Steam Frame starts at $1059

store.steampowered.com

Steam Frame

VR and non-VR gaming

OpenAI bots knew about the RubyGems caching vulnerability | 42

tenderlovemaking.com

Tenderlove Making - What a time to be alive

Today Reuters and the Wall Street Journal both reported about rogue AI agents at OpenAI attacking RubyGems.org. https://www.rubyhack.ai/ has an amazing writeup, and you should read it. I just wanted to make a quick post about it because it’s wild. TL;DR: It seems like OpenAI Bots knew about this caching vulnerability, tried to take advantage of it, and at the same time ran some weird web scraping code on RubyDoc.info. Back in May, socket.dev reported about a “GemStuffer Campaign” where someone (I guess OpenAI) was uploading tons of junk gems to RubyGems.org. For some reason, the gems would scrape UK government websites, then repackage the data as gems, and attempt to upload them to RubyGems.

The V8 JavaScript Runtime Undermined My Constant-Time JavaScript Library | 2

The V8 JavaScript Runtime Undermined My Constant-Time JavaScript Library
soatok.blog

The V8 JavaScript Runtime Undermined My Constant-Time JavaScript Library - Dhole Moments

Six years ago, I wrote a blog post titled Soatok's Guide to Side-Channel Attacks in which I discussed the general topic of side-channels in cryptographic applications, and how to avoid them, with example code in PHP. I had called out that the algorithms discussed on the page cannot rule out compiler or runtime optimizations that…

Cua (YC P25) Is Hiring a Founding Technical GTM Lead 0

ycombinator.com

Founding Technical GTM Lead at Cua | Y Combinator

uploaded image About Cua Cua is building the infrastructure and agent products that let AI safely and reliably use computers and applications. At the center of our ecosystem is Cua Driver, the fastest-growing computer-use framework. Developers use Cua Driver to build agents that operate browsers, native applications, and complete desktop workflows across macOS, Windows, and Linux. We also provide the infrastructure needed to develop, evaluate, train, and operate these agents at scale: fleets of real computer environments, agent evaluation tooling, and verified trajectory data. Cua is backed by Y Combinator. We're a small technical team building foundational infrastructure for the next generation of AI agents. The Role We're looking for our first dedicated go-to-market hire. You'll work directly with the founders to figure out who needs Cua most, how we reach them, what we should sell, and how we turn early adoption into a repeatable business. This is not a role where you inherit a sales playbook. You'll create it. You'll talk to developers, AI teams, researchers, and companies deploying computer-use agents. You'll run technical discovery, design pilots, help customers integrate Cua, close business, and bring what you learn back into the product. You'll also help us identify, launch, and grow agent products built on Cua Driver. The opportunity spans open-source adoption, developer products, enterprise infrastructure, and data or evaluation engagements with leading AI teams. At first, you'll do all of this yourself. Once we find repeatable motions, you'll help us build the team around them. What You'll Do - Identify the highest-value customer profiles and use cases for Cua. - Build relationships with AI labs, model providers, agent startups, and companies deploying computer-use agents. - Own the full commercial cycle: sourcing, discovery, demos, technical evaluation, pilots, negotiation, closing, onboarding, and expansion. - Work with customers to design deployments involving Cua Driver, computer fleets, evaluation environments, or trajectory data. - Shape and bring new agent products built on Cua Driver to market. - Connect our open-source ecosystem, agent products, and infrastructure into a coherent customer journey. - Turn early customer projects into repeatable offerings, messaging, pricing, case studies, and sales processes. - Create technical demos and content that show developers what they can build with Cua. - Represent Cua in the agent-development community and develop relationships with potential partners. - Bring clear, structured customer feedback into product and engineering decisions. - Establish our first useful GTM systems for pipeline, forecasting, customer health, and pricing feedback. - Help determine which GTM roles we should hire next. What Success Looks Like During your first three months, you will: - Develop a deep understanding of Cua's products, users, and market. - Speak with developers, researchers, and potential customers every week. - Sharpen our ICP, positioning, and core use cases. - Build a focused pipeline and personally run customer evaluations. - Create the initial materials needed to explain, demonstrate, and sell Cua. - Identify promising agent products that can be built on Cua Driver. Within six to twelve months, you will have helped create: - A clear, evidence-backed ICP and buying motion. - A reliable path from technical evaluation to paid deployment. - Referenceable customers with measurable outcomes. - A repeatable approach to launching agent products built on Cua Driver. - Useful sales, onboarding, and customer-success systems. - A grounded plan for building Cua's broader GTM organization. You May Be a Good Fit If - You've sold, deployed, or brought to market a deeply technical product. - You understand developer tools, infrastructure, AI/ML systems, data platforms, or enterprise software. - You can hold a detailed conversation with engineers and researchers while staying focused on the business outcome. - You've personally sourced opportunities, run discovery, designed pilots, negotiated, and closed. - You're comfortable getting technical enough to build a demo, inspect an API, or debug a customer integration. - You learn quickly from customers and turn ambiguous feedback into clear action. - You communicate exceptionally well in writing, presentations, demos, and technical conversations. - You can create lightweight systems without introducing unnecessary process. - You're comfortable working with an early product whose positioning and packaging will evolve. - You want ownership of a company-building problem, rather than a predefined sales territory. Especially Valuable - Experience selling to AI labs, applied AI teams, or developer-platform companies. - Familiarity with AI agents, computer use, reinforcement learning, evaluations, synthetic data, or browser and desktop automation. - Experience converting open-source or developer adoption into commercial relationships. - Experience launching a new technical product or creating a category. - A track record of turning bespoke early deals into repeatable products or offerings. - An existing network among AI researchers, infrastructure teams, or agent developers. - Founder, early employee, solutions engineer, developer relations, or technical product experience. Why Cua Computer-use agents are moving from demos toward real production workloads. These agents need reliable interfaces for controlling computers, scalable environments in which to operate, and trustworthy evidence of what happened during every run. They also create an entirely new surface for useful agent products. Cua is building that full stack. Cua Driver gives developers a fast-growing framework for building computer-use agents. Our infrastructure gives those agents real Linux, Windows, and macOS environments for development, evaluation, training, and production workloads. We're also building agent products on top of this foundation. You'll join early enough to help decide which products we bring to market, who they serve, and how they grow. You'll work directly with the founders, engineers, and technical customers defining the computer-use category. How to Apply Send us: - A short introduction and why you're interested in Cua. - An example of a technical product you helped sell, launch, or grow. - Something you built, wrote, sold, or figured out from scratch. - Your thoughts on who should be buying or building with Cua today. We care more about evidence of ownership, technical curiosity, and resourcefulness than a conventional sales resume.

A Beginning for Mathematics | 2

Mathematical diagram of X with curves, loops, and dotted paths from a base point.
daniellitt.com

A beginning for mathematics · Daniel Litt

A positive vision for the future of mathematics: how our institutions can deepen human understanding as AI transforms mathematical research.

Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama | 13

patrickmccanna.net

Notes on migrating 35kb prompts away from Anthropic/OpenAI to Self-Hosted Ollama+opencode – blog

Pion, an agent designed to run any company autonomously | 18

andonlabs.com

Why we built Pion | Andon Labs

Pion is the platform we built to run our autonomous businesses. Today we are opening it up so many more people can experiment with autonomous businesses, and here is why.

Adversarial Fashion Makes a Statement on AI Panopticon | 11

spectrum.ieee.org

Adversarial Fashion Makes a Statement on AI Panopticon - IEEE Spectrum

Adversarial fashion against AI surveillance shows how patterned clothing can confuse facial recognition and protect privacy in crowded city streets.

Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost | 3

Show HN: Nari Qwen3-TTS and Qwen3-ASR – High accuracy, low latency and cost

Hey HN, Toby from Nari Labs here.

We've been working on making OSS speech models super-fast. Last year, we built Dia, the first OSS text-to-speech model capable of doing natural dialogue. Since then, so many more great speech models have been released to the public.

But the market is still dominated by closed source models. We think that's an inference problem. Existing systems such as vLLM / SGLang are not well suited for multimodal inference. To prove this, we built an inference engine specialized for Qwen3-TTS and open-sourced it (https://github.com/nari-labs/nari-qwen3-tts). Running at sub-50 ms latency at 10 RPS, this showed open models can be run much faster and cheaper.

Since then, we've been working hard to bring cheap, fast, and high quality serving to all. And we've even beat closed models at their game!

Measured on the highly cited Coval (YC S24) voice AI benchmarks, our Qwen3-TTS endpoint not just is #2 in latency, but #1 in accuracy (WER) compared to 11Labs, Cartesia etc. while being the cheapest endpoint. Our Qwen3-ASR endpoint has the lowest latency and #2 accuracy, just 0.1% away from #1. It is the second cheapest model on the list.

It took a lot of clever inference engineering to make these models quick, perform well while keeping costs low. Interestingly, Alibaba's official endpoints seem to perform worse in terms of accuracy and latency compared to ours. But nonetheless, much love to the Qwen team for OSS-ing these amazing speech models.

We want to continue to push prices down to make speech technology a commodity - so that every app can have great TTS and STT without worrying about unit costs. We're also working on other parts of audio such as diarization - as well as video and world model inference. More to come! [toebee]

narilabs.com

Nari Labs Leads Coval’s Voice AI Benchmarks | Nari Labs

Nari ranks first in STT latency, second in STT WER, second in TTS latency, and first in TTS WER in Coval’s September 14, 2026 benchmarks.

Cloudflare AKE cuts origin HelloRetryRequests from 52% to 3.7% | 2

blog.cloudflare.com

Automatic Key Exchange: faster, post-quantum secure origin handshakes for 45 billion daily connections (and counting) | Cloudflare Blog

Automatic Key Exchange probes TLS 1.3-capable customer origins to learn which key agreement algorithms they support. We then lead with the most secure algorithm when connecting to the origin, preferring post-quantum connections wherever the origin supports it.

Truncated SVD (2023) | 1

brashandplucky.com

Truncated SVD

Practical uses of truncating an SVD.

XCancel service is suspended until further notice | 57

xcancel.com

XCancel service is suspended.

How my e-reader lost its stripes | 1

serpentine.com

How my e-reader lost its stripes

When LLM judges agree, should we believe them? | 7

agreement_fig1.png
amazon.science

When LLM judges agree, should we believe them? - Amazon Science

Discounting the opinions of LLM judges with highly correlated outputs ensures that panels of judges reflect a true diversity of perspectives.

An atlas of periodic solutions to the three-body problem | 23

threebodyorbits.com

An atlas of periodic solutions to the three-body problem

Ask HN: What are you working on? (September 2026) 596

What are you working on? What have you been curious about lately? [david927]

news.ycombinator.com

Ask HN: What are you working on? (September 2026)

What are you working on? What have you been curious about lately?

The Tudor Kings | 1

analog-antiquarian.net

The Tudor Kings

EuroBirdPortal – Live bird movements across Europe | 24

eurobirdportal.org

EuroBirdPortal – Live bird movements across Europe

Claude is a Contrarian | 43

Claude is a Contrarian

@rdsubhas

Attention Required! | Cloudflare

A 386 PC for Your RP2350 | 17

A 386 PC for Your RP2350

rh1tech/frank-386

A 386 PC for Your RP2350

Trying to Make a Loop Auto-Vectorize | 4

jsgroth.dev

Trying to Make a Loop Auto-Vectorize

Show HN: Is this photo edited? Client-side image forensics | 3

vajba.com

Show HN: Is this photo edited? Client-side image forensics

Transitions.dev: UI transitions for AI agents | 3

transitions.dev

Transitions.dev: UI transitions for AI agents

Things That Annoy Me About Cars | 9

blog.decryption.net.au

Things That Annoy Me About Cars

Devil's Arrows: Ancient builders hauled 55k-lb stones 11 miles for UK stone row | 10

sciencedaily.com

Devil's Arrows: Ancient builders hauled 55k-lb stones 11 miles for UK stone row