Cheaper agents, thinner walls: a simple file can still take the wheel

On Friday, Microsoft said its AI beats doctors on hard cases. Today, the top AI story on Hacker News tells a different side. A study from the Lynch Lab says a 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis. A CNN is an older type of AI made to look at images. Frontier LLMs are the big chatbots like ChatGPT and Claude.

The story got 558 points and 238 comments on Hacker News. I only saw the headline and the discussion, not every detail of the method. But the message is simple: for a narrow medical task, a small specialised tool can beat a giant general model.

On Reddit, someone asked why people are so pessimistic about AI in healthcare. This study is part of the answer. People do not hate the idea. They want proof, task by task.

Yesterday we looked at Apollo's note saying AI shows no payoff outside tech. TechCrunch picked it up this weekend with a strong quote: 'zero financial payoff to corporate America outside of tech.' Now there are new signals. A popular post asks why OpenAI and Anthropic cut some prices by up to 80% within a few months. It got 313 points and 309 comments on Hacker News.

On the money side, memory maker Solidigm pulled its IPO this week, according to a Reddit post. The same post says borrowing costs for 'neoclouds' (companies that rent AI chips) are rising while their stocks fall. It notes that Nvidia now helps finance parts of the AI buildout. A headline also says Nvidia's Jensen Huang shared a figure of $2,000 per GPU per year in software revenue.

And still, the big bets continue: SoftBank plans a $50 billion AI and data center outlay in Malaysia. The big cloud companies report earnings in the coming days. That will be the next test.

AI models learn from huge amounts of text, and many owners never said yes. On October 23, rights holders for 274 songs recorded by Elvis Presley sued Anthropic in US federal court. They say Anthropic copied the lyrics without a license, kept them in a permanent internal library, and used them to train Claude. They also say Claude produced copies or derivative versions after its guardrails.

Other data stories came up this weekend. A class action site promotes a lawsuit saying OpenAI used kids' data for ChatGPT. Details are thin, so treat it as a claim for now. And a post with 290 points on Hacker News says Samsung runs a small AI model on low-resolution images to track users. It comes from one tweet, so it is not confirmed.

The Elvis case is now in court. The others need more facts.

AI is breaking how we judge human work. A UC Berkeley math professor says he sees 'no point' in grading homework anymore, because of AI use. The story got 218 points and 319 comments on Hacker News.

In photography, a Nikon contest winner lost his title after scientists spotted signs of AI in the image. And xAI's Grok released the first seven minutes of an AI-generated 'Odyssey'. TechCrunch says it looks okay, 'as long as you're not seeking artistry, inspiration, or human interest.'

Teachers, juries and audiences now have to guess what is real. The tools to check are still weak.

r/opensource is a big Reddit forum for free software projects. On Saturday evening, its moderators posted new rules. The first line: 'If your project uses AI, is made by AI, or is intended for AI, it's not welcome.' They say AI, as it exists today, does not fit open source values.

The rules go further. The Verge says they also ban non-English speakers, and the Hacker News title says solo projects are banned too. The story got 88 points and 111 comments, and many people find the new rules too broad.

This fits a pattern we saw Friday, with polls showing public pushback against AI. Now the pushback comes from inside the tech community.

You can now talk with an AI without sending your voice to the cloud. Izwi 0.1.0 is a free desktop app for Mac, Linux and Windows. It does real-time voice chat fully on your computer: it hears you, thinks with a local model, and speaks back. It can also clone a voice from a short sample, or design a new voice from a text description.

Another project, Lure-TTS, makes small voice models that run 4 times faster than real time. Its author says training cost under $200.

This is great for privacy and for people with older computers. But voice cloning this cheap and easy also helps scammers who fake a family member's voice.