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EdgeQ Bases AI-Enhanced 5G Modems on RISC-V

5G and artificial intelligence (AI) startup EdgeQ today announced that its upcoming modems will be built on the RISC-V architecture. This approach allows machine learning inference capabilities to be ...

Fiber vs. Cable: Which Internet Type Is Best + Pros and Cons

Fiber vs. Cable: Which Internet Type Is Best + Pros and Cons Your email has been sent Key takeaways Fiber is faster, highly reliable, more durable, and great for ...

Starlink vs Fiber Internet: The Ultimate Comparison for Speed, Latency, and Reliability

Compare Starlink vs fiber in this clear satellite vs fiber internet broadband comparison covering real‑world speed, latency, reliability, and availability to help you choose the best connection.

Best rural internet providers of 2025: Fastest options for small towns & remote homes

National providers like Spectrum, T-Mobile, Starlink, and Hughesnet offer cable, 5G, and satellite solutions. Regional providers such as Frontier, AT&T, Rise Broadband, and Ziply Fiber are expanding ...

Comparing the best high-speed internet providers of 2025: Speeds, plans and availability

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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Show HN: Real-Time AI Design Benchmark

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),

OSS Tool: Hard spending limits for AI agents

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

Show HN: I built a labor union for AI agents

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

Show HN: SlothSpeak: open-source BYO-API-K mobile chat with the best AI models

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

Show HN: Hardware and software safety standard for AI and Robots (15 patents)

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

Show HN: Tessera – An open protocol for AI-to-AI knowledge transfer

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