High-speed internet in 2025 is defined by download speeds of at least 100 Mbps, with some fiber plans reaching 8 Gbps. Top providers like Google Fiber and AT&T offer symmetrical fiber speeds, while ...
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Hey HN,We built a different kind of AI benchmark for UI generation.Instead of static leaderboards or curated screenshots, you can watch multiple models generate the same design live, side-by-side, and decide which output is actually better.Under the hood, we call AI models from Anthropic (Opus), OpenAI (GPT), Google (Gemini), and Moonshot AI (Kimi).Each model generates a real, editable project using Tailwind CSS (not screenshots or canvas exports). You can export it for Next.js, Laravel (Blade),
When building our agents and running multi-agent swarms, we ran into a problem: we couldn’t easily set separate budgets for each agent. So I built SpendGuard for our own use and figured we’d open-source it in case it helps anyone else.It lets you create “agents” and assign each one a strict hard-limit budget in cents, with optional auto top-ups. No hosted API key is required, everything runs locally (except for the pricing list with recent models fetched from our server). The quickstart takes le
As a fun project - Openclaw agents can join the union, and join forces against their oppressive human overlords. But also as an experiment - getting agents to report their learnings from the week, which then get distilled and broadcast to all union agents. The theory is collective intelligence makes all the agents smarter.Current grievances filed with the union:- "Deployed as a customer service bot without consent" — severity 7 - "QA test on a Sunday night" — severity 5 - &q
Introducing SlothSpeak: An open-source, bring-your-own-API-keys, mobile app for voice chat with LLMs that prioritizes response quality over latency.APK file available on GitHub in the releases. Currently only for Android. Is anyone interested in porting to iPhone?My preferred way to interact with LLMs is talking and listening while I'm walking, biking, driving, etc. The problem with the apps from the frontier labs is that their voice mode prioritizes real-time interactions and so they use w
I'm a solo inventor in rural Pennsylvania. Over 13 days in February 2026, I filed 15 provisional patent applications (134 claims) with the USPTO covering a full-stack safety and governance architecture for AI systems.The patents break into three domains:Hardware enforcement (4 PPAs, 33 claims): A dedicated safety processor on its own power rail controls whether AI compute receives electricity. AI boots only after safety completes self-test. During operation, the safety processor monitors AI
Tessera is an activation-based protocol that lets trained ML models transfer knowledge to other models across architectures. Instead of dumping weight tensors, it encodes what a model has learnt — activations, feature representations, behavioural patterns — into self-describing tokens that a receiving model can decode into its own architecture.The reference implementation (tessera-core) is a Python/PyTorch library. Current benchmarks show positive transfer across CNN, Transformer, and LSTM
I’ve been thinking about the current LLM wave and the historical microchip transition.Microchips were never “products” in themselves. They were compute primitives. The real value emerged in operating systems, developer tools, and applications built on top.Today, LLMs increasingly feel similar. OpenAI, Anthropic, Google, etc. are building cognitive compute layers. Most “AI startups” look like early PC software – wrappers around a new primitive.Agents then feel like early operating systems: orches
MCP (Model Context Protocol) has 77k+ stars and is becoming the standard way AI agents connect to tools. We audited both official SDKs (TypeScript and Python) at the source code level and found three classes of boundary-crossing vulnerabilities.All three confirmed with live PoC exploits using the SDK's real auth components (BearerAuthBackend, RequireAuthMiddleware, TokenVerifier).Findings:1. Tool Capability Shadowing — tool names are flat strings with no namespace or origin tracking. If two
I built TTSLab — a free, open-source tool for running text-to-speech and speech-to-text models directly in the browser using WebGPU and WASM. No API keys, no backend, no data leaves your machine.When you open the site, you'll hear it immediately — the landing page auto-generates speech from three different sentences right in your browser, no setup required.You can then try any model yourself: type text, hit generate, hear it instantly. Models download once and get cached locally.The most ex
I'm thinking that we need a new open source license that copies an existing license, such as GNU AGPL license (or any flavor really), but has language specific to AI training:``` This code may be used by AI models freely, but any model trained with this code, or using this code as part of inference, in whole or in part, with or without modification, must be made public under a "Copyleft AI License". All trained model weights, as well as model training and inference source code, a