This would also effectively ban the use of any research produced by a Chinese national. Any papers which cite the work of Chinese labs (most of them) would be illegal, as this could be interpreted as aiding Chinese AI research.

The most important part to note is that 80% is held in a single wallet. The rug pull potential is high even by crypto standards.

The llama-1 paper acknowledged the use of the books dataset, libgen isn’t mentioned in any of the papers so this is new info.

And I declare the US to be “South Canada”

Tech bros have ruined the prestige of a lot of titles. Software “Engineer”, Systems “Architect”, Data “Scientist”, Computer “Wizard”, etc.

For a 16k context window using q4_k_s quants with llamacpp it requires around 32GB. You can get away with less using smaller context windows and lower accuracy quants but quality will degrade and each chain of thought requires a few thousand tokens so you will lose previous messages quickly.

Perfect AI boyfriends are the bigger threat to young men

exFAT is still the best format for multiplatform compatibility so it’s good to see that it’s still getting maintained.

Now everyone gets to hand over their ids to the tech companies.

The issue isn’t really “too busy with jobs”, it’s not having enough monetary resources to take care of a large non-working population. The fear with AI is that it will take the comfy, high paying office jobs and demote the non c-suites down to manual labor. Unless corporate taxes are increased dramatically (unlikely) many of the young working class will be stretched thin trying to pay for their parent’s care.

If you’re getting one for linux be warned that it’s not as straight forward as regular laptops due to the unlocking process, sometimes non-standard hardware and the unique keyboard layout. If you do anything where you make heavy use of f-keys or delete it’s not worth it.

Also never buy one new, schools dump them by the truckload so it’s easy to get solid hardware at much lower prices.

Chromebooks are designed around coercing the user into the google ecosystem. Everything google based is seamless while everything else is a second class citizen.

If everyone has access to the model it becomes much easier to find obfuscation methods and validate them. It becomes an uphill battle. It’s unfortunate but it’s an inherent limitation of most safeguards.

Of course it was political retribution and not the whole unregistered securities and gambling market thing.

More sympathy for squirrels than human beings

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.