gip

Most of the people I know would rank predictability is #1, price #2 and ability to do returns #3 (as a data point: I don't even remember last time I did a return, was years ago). Really depends on who your connections are and their specific needs I reckon.

Not the smartest engineer ever, that use case perfectly align with using a Chinese model! And anyway I have no idea how he was hoping not to be caught in the case the device would be discovered.

I don’t agree with the decision, but I don’t think courts should be able to easily overturn the federal government’s findings when it comes to national security in a specific decision like this.

My toddler gets a book a month in the mail from Dolly's Imagination Library and we keep reading some almost every day. She's made an impact in so many families <3

Just tried and although it’s not that polished or fast imo it’s very cool.

GLM 5.2 totally free even with a free Vercel account.

Make business sense too - fx is the entry point to bring more user to Vercel AI.

Not sure as OpenAI models (Sol, Luna,..) are also discounted on the Vercel AI Gateway rn. My bet is on OpenAI trying to drive more enterprise customers to their models through API.

I’m impressed by tinygrad. Full-featured deep-learning framework with ZERO dependencies, fully hackable, and orders of magnitude fewer LoC than PyTorch.

Want to run Qwen3.8 27B? Download the quantized model from HF, git clone tinygrad, then run `DEV=METAL python3 -m tinygrad.llm --max_context 8192 -m <GGUF File>`. Read the code and experiment - takes 1 minute.

Compare that with PyTorch (great, but almost impossible to comprehend and modify, IMO) or Mojo/MAX (complex and not even fully open source, not to mention that the Modular folks aren’t particularly nice). Tinygrad is a breath of fresh air.

The real target for Anthropic, OpenAI and tons of others are large enterprises and workflows. I think they will do all right if they execute well.

Yes and this is in line with the idea that 99%+ of the value created by AI will be captured by the broader economy, not OpenAI and friends.

That being said, even local AI will still be displacing humans fast and it's not clear new jobs will be created fast enough. Regulations and policies will be needed imo.

That makes sense, thank you for explaining. TradFi already offer access (direct or ETFs) to major cryptos who have demonstrated some utility like BTC, ETH, XRP, SOL and a few others.

If interest in tokens and altcoins wanes, Coinbase may be in a weak position.

Very curious why they haven’t diversified into real world assets. It seems like an obvious move, even if the margins would be lower than their fee business (~85% margins!!).

They’ve added tokens and altcoins to the platform, but I don’t think that’s a particularly strong long-term bet.

> We need to heavily regulate anybody who is not following the rules that make us the de-facto winner

How about building a multipolar world where different parts of the world (US/China/India/EU/Africa,..) get to build sovereign tech and have their own winners?

Same with Codex and very soon with open source & local models. Training great models (for coding and similar tasks) seems to be a question of scale and not much more.

It is likely that 99% of the value created by Anthropic / OpenAI / friends will go the end user. Which is great news.

True. That is why it is key important to have open source and sovereign models that will be accessible to all and always on / local.

Competition (OpenAI vs Anthropic is fun to watch) and open source will get us there soon I think.

Totally. That is why it is key important to have open source and sovereign models that will be accessible to all and always.

At the end of the day, all these closed models are being built by companies that pumped all the knowledge from the internet without giving much back. But competition and open source will make sure most of the value return to the most of the people.