sneilan1

I think people would like AI technologies a lot more if they were the ones making money off of it.

What exactly is the Thunderbird team doing that I can't vibe-code with my special friend Claude? Why does this software justify a blog post about a "first look". What am I missing that is so exciting? I don't understand what is going on here that is so neat. There's nothing here I can't pump out in a week or two at worst.

I'm confused at everyone's excitement because it's become a lot cheaper to write software like this. Maybe for all the folks world-wide that aren't up to speed with modern practices, it's helpful to have an iOS app.

Am I talking like the guy that dissed Drew Houston, saying oh I can put together sshfs and a couple other things and build out Dropbox. Drew rightly corrected the engineer on ycombinator many years ago to say that end users want a finished product not a bunch of tools.

But this is a new era where you can vibe-code this very quickly for iOS.

Is it possible to list the mega firms?

That's a lot of work for what might be $44.

I'm glad someone is trying this and exploring what's possible. It's easy to deride his work by saying what's the value but are you running 50 fable agents and letting them run wild to see what the future looks like?

The 7 billion figure is not just open router's current value. It's also including part of it's projected value in the future. So that 7 billion includes current value + value say 5-10 years out.

I've dumped python for anything that doesn't involve scipy / pytorch in favor of go. So yes, I'm having my llm's output go now which is generally more memory efficient than python.

I am so happy that Anthropic has signaled the possibility that their UI moat for agentic AI is copyable by competitors. At least that's the way I read this. When companies try to lock something down it can be a signal of weakness.

If so, it's possible to built great user interfaces in Chatbots and more companies/people can have amazing agentic development workflows! We don't have to live in a world where only the market leader has the most enjoyable model.

I wish the author had not used the words "Abandoned Mine in the Atacama Desert" Abandoned mine would've been fine. But now you've communicated the value of your find and given a basic hint of what mines to look up. The bright side is so far, author is probably fine because nobody's buying quantum crystals yet in a futures market.

At least the author has time to secure property rights and buy out old mines.

Awesome!! Super excited to try this out. Amazing work.

I've been using obsidian for years as a paying customer. Will continue to pay as price point is good and it just works. However, unless plugin security massively improves I will never install any plugins.

This is why I NEVER install any obsidian plugins - EVER. Obsidian itself is good. Obsidian plugins = security nightmare.

I did not realize Boris made the tutorial that got me into programming. Wow. What a great find! And is the Ilya S Ilya Sutskever?

This is insanely cool. Thanks for sharing. I'll follow you on https://muppetlabs.com/.

I'm learning how to train transformer models locally to do useful work instead of having to pay for claude. I regularly update my blog here https://seanneilan.com/posts

If it can be used for inference, who cares right? Just have claude vibe code some objective-C or run the Enclave app.

That's very funny. Bravo.

This is exactly what I needed. I've been thinking about making this tool. For running and experimenting with local models this is invaluable.

Does anyone have Jeff Dean's sources for how he computed these numbers? What's the margin of error? How accurate are they now? Is there a set of numbers that also talks about memory bandwidth in GPUs? Are these numbers intel/amd only? How do they differ between an m1 architecture?

I'm a lot happier now being an anthropic customer.

Yes, this is probably the piece I am not realizing. However, there is no better approach to getting more capital than by scaring people?

Yes, the CEO's of these AI companies are clearly not the people who should be selling AI products. They need to be hidden away and kept behind closed doors where they can do their best work. And they need advertising companies, PR firms and better marketing tactics to try and soothe the customers.

I don't understand why some of these AI companies check their egos at the door and hire public relations companies. Yes, I understand they are changing the world but customers do not open their wallets when they are scared. Very few people I know are as avant-guarde as I am with AI, but, most people look at these new technologies and simply feel fear. Why pay for something that will replace you?

Learned a lot about local models using them to scrape target.com.

I love it! I'm at level 6 and brave enough to try. I'm in. Giving this a shot!

This wins the internet today. Amazing work!!!

Published an edit today (post dated in Nov. but I've rewritten it 5x now) on my tutorial to use llama3.2:3b to generate fine tuning data to train tinyllama1.1b https://seanneilan.com/posts/fine-tuning-local-llm/ It took a while to figure out that when I made llama3.2 generate json, it didn't have enough horsepower to generate training data that was varied enough to successfully fine tune llama1.1b! Figured that out :) Something you never learn with the bigger models. Every token costs something even if it's a little bit.

I'm so confused. Why would the United States care about people's health? It feels out of character for this administration given the times.

Have you found any models that work better for your use case?