Ackshully… It should be: “AaaS”.

Additional shots and cutaway can also be found here: https://www.artstation.com/artwork/x3d8GY

This is starting to tick me off. Now you’ve got me all wound up!

Cooking from scratch is excellent… But there’s also an extreme for how far you consider “cooking from scratch” to actually be “from scratch”… For Example: https://www.instagram.com/reel/C76cACZB0oq/

Do you milk the cows yourself? Churn the butter? Etc.

Doesn’t look so alone to me, there are some friendly fish right there!

For me, the article makes it seem like there’s some new announcement that the FBI has put out about a newly discovered vulnerability. Turns out, the announcement is about vulnerabilities we’ve known about for a long time.

Kitboga has used AI (STT, LLMs, and TTS) to waste the time of Scammers.

There are AI tools being used to develop new cures which will benefit everyone.

There are AI tools being used to help discover new planets.

I use DLSS for gaming.

I run a lot of my own local AI models for various reasons. Whisper - for Audio Transcriptions/Translations.

Different Diffusion Models (SD or Flux) - for some quick visuals to recap a D&D session.

Tesseract OCR - to scan an image and extract any text that it can find (makes it easy to pull out text from any image and make it searchable).

Local LLMs (Llama, Mixtral) for brainstorming ideas, reformatting text, etc. It’s great for getting started with certain subjects/topics, as long as I verify everything that it says.

For fun I’ll probably setup GLaDOS like what was done here: https://www.reddit.com/r/LocalLLaMA/comments/1csnexs/local_glados_now_running_on_windows_11_rtx_2060/

Orison in Star Citizen. One of the coolest cloud cities in gaming with some of the most amazing sunsets.

https://www.youtube.com/watch?v=4YSoaOEr9D0

Edit: It’s hard to pick a picture that captures the experience (so I picked a few). A video is better, but actually being there in-game is a whole other level. Everything from the bars, food court, living spaces, shipyard and space port add to the experience.

I understand, that definitely makes sense then.

This isn’t an article about mistranslations.

This is an article focusing on how asking about US election questions in Spanish will give you answers that are for the wrong country, or just wrong in most cases when compared to asking the same question in English.

One example is that, if someone in Puerto Rico were to ask ChatGPT 4/Claude/Gemini/Llama/Mixtral a US Election question, it would respond with information for Venezuela/Mexico/Spain instead.

If a post is deleted for any reason it nukes everything, even the comments.

I can’t go back and view any comments that I was replying to or that I had saved, I can only see my own comment.

Same, I’d say it’s way better than most other transcription tools I’ve used, but it does need to be monitored to catch when it starts going off the rails.

Whisper isn’t a large language model.

It’s a speech to text (STT) model.

Rather than making it illegal to use, people need to use these tools responsibly. If any of these companies are using almost any kind of AI/machine learning they need to include a human in the loop that can verify that it’s working correctly. That way if it starts hallucinating things that were never said, it can be caught and corrected.

I’ve found that Whisper generally does a better job at translating/transcribing audio than other open source tools out there, so it’s not garbage… But it absolutely is a hazard if you’re trying to rely solely on it for official documents (or legal issues).

As far as promotion goes… It’s open source software, it’s not being sold.

As someone who uses Whisper fairly often, it’s obvious that they’ve trained off of a bunch of YouTube videos.

Most of the time it’s very accurate, but there have definitely been a few times in long transcription sessions where it will randomly hallucinate that someone is saying “Don’t forget to like and subscribe!” When nothing was said anywhere near that.

Thanks! I definitely need to upgrade from the starter ship.

No idea about cats/dogs.

It’s not accurate enough to be sure about whether you can eat it or not, but if you want to take a look at visually similar plants in your area:

Use the iNaturalist app.

Take a picture of it (or upload the picture you already have).

Click on “View Suggestions” and it should highlight visually similar plants as well as highlight matches that are most commonly found around you.

You don’t need to submit the photo to their database, but if you do make sure to check the “it is cultivated” box if it’s something you’ve grown yourself.

Again, do not depend on this to decide whether it’s safe or not, but at the very least it will help you to research visually similar plants in your area.

Looks like this channel is alao available on Odysee, here’s an alternate link: https://odysee.com/@NaomiBrockwell:4/BRENDAN-EICH:9

Looks like Apple barely won on the patent of some old charger and lost on almost everything else:

Masimo said in a statement that the company appreciated the jury’s verdict “in favor of Masimo and against Apple on nearly all issues,” and that the decision only applied to a “discontinued module and charger.”

“Apple primarily sought an injunction against Masimo’s current products, and the jury’s verdict is a victory for Masimo on that issue,” Masimo said.

Ok, this is a bit more than what the title implies. This isn’t just outputting the code in text, but rather the ability to verify its own answers before responding to the user asking questions using code.

Claude could attempt these tasks before. But, because it lacked a mechanism to mathematically verify the results, the answers weren’t always incredibly accurate.

So now if you ask it a math question or for it to create some visual bar chart, it will actually do the work to verify that what it’s saying is valid.

I’m sure there will still be ways to trip it up, but this is a good step forward.