fuddle

Cool site, an About page would be useful. It's hard to tell how the site works.

"CEO Tim Cook even brought the president a gold trophy for being such a good and important boy." - haha, well played.

It would be great to be able to sort by popularity, to make it easier to find popular books. Or have a list of top 100 downloads.

> Because I can guarantee setious, perhaps permanent, economic hardship in trying.

Prove it.

Considering all the major AI companies have basically created the same deep research product, it would make sense that they focus on a shared open source platform instead.

That's super cool, I like how they explain what each antenna is used for.

If the license isn't open source, then the SDK shouldn't be labeled as open source.

"You may not provide the software to third parties as a hosted or managed service" - The Elastic v2 license isn't actually open source like your title mentions: "Open-source JS agent framework"

https://github.com/mastra-ai/mastra/blob/main/LICENSE

You just wrote a blog post about whats needed for a top HN post. You should have known it would do well :)

https://fly.io/blog/a-blog-if-kept/

I wanted it to generate a standard Chess game though.

The chess game it generated is pretty sad: https://ibb.co/5Xk57m5k

This looks like another LLM generated article.

To be called open source under the new Open Source AI Definition. They'd need to release the: Data Information, Code and Parameters. https://opensource.org/ai/open-source-ai-definition

It would be nice to see a demo of the app working in the real world with an nfc tag, not just an app recording.

> I waste too much time scrolling through social media. It's bad for my health, so why do I keep doing it? Because once in a while, I'll find a post so good that it teaches me something I never knew before, and all the scrolling feels worth it.

Intermittent reinforcement, the technique companies use to get people addicted to social media. Similar to how slot machines are designed.

It's ironic that they are attempting to open source a model from "OpenAI".

I'd be interested to see Gemini 2.0's performance on SWE-Bench.

How do you put together strategies such as "High Performance Small Cap"? Does your backtest include delisted stocks to avoid survivorship bias?

How long would take them to get a new chip into production and then used for training/inference?

Nice work, it would be great to see some benchmarks comparing it to llm.c.

This is a great guide, thanks.

Looks good, it would be great to see more examples in the docs.

Do you purchase the book before making a summary? How does that work?

I'd avoid linking directly to a login/signup page without any context. It's better to link to your home landing page.

OSINT is not open-source though

This seems very suspicious to me. There is no details about the founders on their website either.

350,000 NVIDIA H100 x $23k = $8b :0

How much are they paying for H100's? If they are paying $10k: 350,000 NVIDIA H100 x $10k = $3.5b

The license isn't open source compatible though.

Looks great! Do you publish pricing for your cloud offering? For the self hosted option, are there plans to create a Kubernetes operator? With an MIT license do you fear Amazon could create a Amazon Hatchet Service sometime in the future?