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.

The reason plane accidents are less common is because the worst licensed pilot is more competent than the average licensed driver by a wide margin

Airplanes will never be pilotless, there will always be a human in the loop for redundancy. A failure in a self driving car could kill a few people at most, a failure in a pilotless plane could kill thousands.

My solution:

The outer square lines in the third column/row is the result of the difference between what exists in the first two items in that row/column. Only outer lines appearing only once will be in the 3rd shape. The center lines seem to be only center lines that appear in both shapes. Therefore x is 52, since all outer shapes cancel and there are no shared center lines. The rest is fairly simple.

The second derivative of f(x) is 78x + 22, so the answer is 78(52) + 22 + 52 = 4130

I’m not completely confident in this solution but it seems to be consistent with the known columns and rows.

Looks like I got early access: %

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

Probably just a reporting bug. Comments stayed consistent.

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

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

A game is only called “woke” when it’s bad. Balder’s Gate 3 is one of the most “woke” major releases in the last few years but you hardly hear them complain about it.

It’s the same thing with cyberpunk 2077. The anti-woke crowd can’t agree on whether it’s woke because many of them like it.

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.

It required a death in office for them to mandate term limits, there’s no way they’ll ever ratify simple procedure.

With the families’ offer, other Jones creditors would get a total of $100,000 more than they would get if First United American Companies bought Infowars, according to The Onion’s bidding document.

So the Onion’s bid was higher over all for the other creditors and Jones is mad that they can’t pay his way out of this. The trustee is supposed to do what’s in the best interest of the creditors, which includes the families.

Also, having your friend buy your assets back for you out of bankruptcy seems like fraud, but I don’t know the specific laws.

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

Anthropic released an api for the same thing last week.

Every credible wiki has moved away from fandom at this point. All that’s left is the abandoned shells of the former wikis they refuse to delete and kids who don’t know better.

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.