Anthropic released an api for the same thing last week.

This is actually pretty smart because it switches the context of the action. Most intermediate users avoid clicking random executables by instinct but this is different enough that it doesn’t immediately trigger that association and response.

All signs point to this being a finetune of gpt4o with additional chain of thought steps before the final answer. It has exactly the same pitfalls as the existing model (9.11>9.8 tokenization error, failing simple riddles, being unable to assert that the user is wrong, etc.). It’s still a transformer and it’s still next token prediction. They hide the thought steps to mask this fact and to prevent others from benefiting from all of the finetuning data they paid for.

The role of biodegradable materials in the next generation of Saw traps

It’s cool but it’s more or less just a party trick.

How many times is this same article going to be written? Model collapse from synthetic data is not a concern at any scale when human data is in the mix. We have entire series of models now trained with mostly synthetic data: https://huggingface.co/docs/transformers/main/model_doc/phi3. When using entirely unassisted outputs error accumulates with each generation but this isn’t a concern in any real scenarios.

Based on the pricing they’re probably betting most users won’t use it. The cheapest api pricing for flux dev is 40 images per dollar, or about 10 images a day spending $8 a month. With pro they would get half that. This is before considering the cost of the language model.

About a dozen methods they could use https://arxiv.org/pdf/2312.07913v2

New record for most buzz words in a headline.

I feel like they should at least provide them with a laptop If they’re going to do unpaid promotion.

She immigrated when she was 15, 30 years before she made the Queen of Canada claim. You can’t deport someone after 30 years of citizenship for mental illness.

The model does have a lot of advantages over sdxl with the right prompting, but it seems to fall apart in prompts with more complex anatomy. Hopefully the community can fix it up once we have working trainers.

I really like the simplicity and formatting of stock pacman. It’s not super colorful but it’s fast and gives you all of the info you need. yay (or paru if you’re a hipster) is the icing on top.

Don’t buy a Chromebook for linux. While driver support usually isn’t an issue, the alternative keyboard layout is terrible for most applications. To even get access to all of the normal keys that many applications expect you need to configure multi-key shortcuts which varies in complexity based on your DE. In most cases it will also void your warranty because of the custom firmware requirement.

This is why you should always selfhost your AI girlfriend.

The drive is visible to the OS so if they have any kind of management software in place which looks for hardware changes it will be noticed.

I’m not sure why it would be any different from how this is treated with search engines. Both scrape massive amounts of openly available data and make it available in some form. Any training data or information that a model could potentially spit out is already available through a search engine’s index.

Just introducing them to it is probably enough. Show them different desktop environments and applications to get them used to the idea of diverse interfaces and workflows. Just knowing that alternatives exist could help them break out of the Windows monoculture later. Enable all of the cool window effects.

Dropping support after only 25 years? I can’t believe Linux is contributing to planned obsolescence.

They could have added their own repos which is the concern here.