Moon_Y

FreeLLMAPI is an open-source LLM gateway that combines free tiers from multiple AI providers behind a single OpenAI-compatible /v1 endpoint.

It currently supports dozens of providers and hundreds of free model endpoints, with automatic routing, fallback when a provider hits rate limits, encrypted API key storage, and usage tracking for different free-tier limits. It can also connect to custom OpenAI-compatible endpoints.

The project can be self-hosted with Docker or used through its desktop app, and works with OpenAI-compatible clients and coding tools such as Claude Code, Codex CLI, Cline, Continue, Aider, Cursor, and others.

It is mainly intended for personal experimentation and prototyping rather than production workloads.

Setup was easier than I expected. I had it running locally in under 20 minutes, and the speed on my RTX 5070 is genuinely impressive.

Really enjoyed the historical framing here. Starting from bag-of-words and working up to Jev makes the “just a classifier” argument much more nuanced. The tradeoff between generality, speed, and cost is probably the most interesting part to me — especially where Jev sits between task-specific classifiers and full LLMs.

Allowing several leading laboratories to formulate their own rules under the protection of anti-monopoly exemptions essentially means outsourcing the formulation of public policies to the stakeholders. The direction of independent review is correct, but the review standards, enforcement authority, and participation qualifications must undergo public debate, rather than being determined behind closed doors by a few companies.

I just feel like this analogy is quite fitting.

Waymo's continuous advancement and expansion in the field of autonomous driving technology. The plan to test fully autonomous vehicles without human safety drivers on freeways in the San Francisco Bay Area is a significant milestone. By having employees as the first testers, Waymo demonstrates confidence in its system.

Similar to woodworkers making their own tools, as programmers, we have the ability to create everything from operating systems to tools. This privilege is rare in other fields, allowing us to get closer to the tools we use. This autonomy enables us to have a deeper understanding and mastery of the tools and technologies we rely on.

For traditional approaches, using only audio-driven methods can sometimes be unstable due to relatively weak audio signals, while relying solely on facial keypoints can lead to unnatural videos as it exerts too much control over the keypoints. EchoMimic, on the other hand, can not only generate portrait videos using audio or facial keypoints separately but also combine the two for generation.

If you don't have any relevant experience, an easy way to do this is to refer to similar products and see how they are priced.

A very interesting attempt, but it requires some hardware-related knowledge to make a similar attempt like the blogger.

Technological advancements have led to precise timing. Compared to ten or twenty years ago, technology nowadays is truly much more advanced.

It's great for taking notes on the phone

Quillpad is fully free and open-source. It will never show you ads, ask you for unnecessary permissions or upload your notes anywhere without you knowing.

Take notes with Markdown support Make task lists Pin your favorite notes to the top Hide notes you do not want others to see Set reminders for events you do not want to miss Add voice recordings and other file attachments Group related notes in notebooks Add tags to notes Archive notes you want out of your way Search through notes Sync with Nextcloud (experimental, requires the Nextcloud Notes app installed on the Nextcloud server used for syncing) Backup your notes to a zip file which you can restore at a later time Toggle between Light and Dark mode Choose between multiple color schemes

As passengers, most people are not actually anxious; instead, they hope to experience something novel. The only thing we worry about is that in the future, some people may lose their jobs because of this.

Indeed, there is too much noise, and it seems there's nothing worth listening to.

It's mind-blowing. I never imagined that robotic dogs could be used for such purposes.

This post is a bit difficult to understand.