Dots doesn't demand your attention, it simply works, quietly pursuing the goals you set, free from the constraints of a specific device or interface.

Government websites promise clarity, but AI chatbots bring their own risks.

Apple's latest security update isn't optional.

Fireflies is making dictation a free, built-in feature across every desktop app, not just its own interface.

Oura has paused its public market debut, delaying the gains investors were counting on.

OpenAI is moving to tighten its oversight after an Australian site access issue, and it's a sensible step toward accountability.

SuperWhisper's s1-mini proves that serious transcription power doesn't require a massive model footprint.

Your camera roll already knows more about your life than your inbox does.

Practical AI skills shouldn't require a computer science degree to access.

The NeurIPS Education Track deadline is approaching, and the community is waiting on results.

Every Git branch now gets its own isolated, production-like Worker environment with a stable URL.

Claude Sonnet 5.5 is the middle child of the Claude family, and that is precisely why it matters. This is the model most people will actually use, quick, capable, and cheap to run. Our practical guide covers what…

Adobe engineers have shared an open-source approach that gives teams self-service access to their own Prometheus metrics in multi-tenant Kubernetes environments, without exposing other teams' data.

AI agents handle enormous context windows, yet they still forget everything once a session ends.

Gonzalo Maldonado argues that engineers don't need to unlearn their technical instincts to succeed as founders, they need to translate them.

Routing text-heavy images through pixel processing is a waste of VRAM and context space.

The Intern-Decision model family lands with a clear message: smarter choices shouldn't require a supercomputer.

A first-author NeurIPS paper from an undergrad at a tier-2 Australian university is not just impressive, it's a signal that raw talent can outpace pedigree.

From ex-Tesla engineers, an AI supply chain platform now powers DoorDash and HelloFresh.

Reducing softmax's inputs from N to N-1 is a neat theoretical insight, those redundant parameters are doing nothing.

The week of September 21st, 2026, delivered an impressive burst of progress across the Spring ecosystem.

Building fair evaluation sets isn't just tedious, it's a combinatorial puzzle with an exact solution.

Attention research has a habit of making the same trade-off: sacrifice coverage for speed.

Traditional spreadsheets ask you to adapt to their limits.

Protego Ventures just closed a $125 million fund, cementing its role as the first and largest dedicated defense tech VC in Israel.

Replacing a metrics pipeline that handles data from 100,000 hosts across 14 regions without breaking a single alert is no small feat.

A developer's AI research earned a spot at NeurIPS, turning code into a conference ticket to Atlanta.

Performance engineering isn't just about reducing FLOPs.

Starting a PhD without a defined problem is both daunting and liberating.

Cloudflare's Python Workers have gone GA, but the launch feels more like an opening act than a headliner.

Anthropic's own prospectus delivers a rare moment of corporate candor: the company is losing tens of billions annually, scaling aggressively, and admitting its AI could pose an existential risk to humanity.

Peak XV is raising the bar for early-stage investing, lifting its seed check to $5 million as global ambition becomes the new benchmark.

The divide over AI is no longer theoretical.

Shopify is opening checkout to browser-based AI agents, letting them update order details and complete purchases with a buyer's authorization.

Fei-Fei Li is trading her role as a pioneer in spatial intelligence for a seat in AMD's executive suite.

Jensen Huang just gave AI agents something they've been missing: a leash.

Modal Labs is closing in on a $750M raise that triples its valuation to $15.75B, a striking leap from just four months ago. That kind of momentum signals real demand for AI-native infrastructure, not hype. It's a clear…

Aurora's CFO says the company's 2030 target for driverless trucks is a plan, not a pipe dream.

OpenAI has shelved a model that simply couldn't follow instructions, a quiet admission that even the most advanced labs hit stubborn walls.

Three Artifactory vulnerabilities under active exploitation let attackers bypass authentication on self-hosted systems and seize admin control in under five minutes.

The final countdown for Disrupt 2026 is here.

For the first time, an OCR model reads Indian languages as fluently as English.

Fusion energy has long felt like a future that never arrives.

Jev's confidence accuracy improved 68% after learning from human-labeled examples, yet its hallucination-detection F1 barely budged.

Watching neural networks train often feels like peering into a black box.

A grandfather's scam by a deepfake of his brother's voice sparked something real.

Google is ending Gems, its task-specific AI agents, as the industry shifts toward all-in-one models like Meta's Muse and Instinct.

Swapping a language-modeling head for a classification head turns a small Qwen LLM into a fast, single-pass text classifier.

Insurance paperwork is tedious by design, not necessity.

YouTube's silent wall is a familiar frustration for anyone building training data at scale.