subroutine

There are many basic things we know about the brain that can be attributed to behavioral science. For example there is a ton of solid research from lesion studies that provide insight on, for example, the function of almost every cortical and subcortical region in supporting memory, language, emotion, motor control, all aspects of perception, attention, etc.

Laws requiring permission from the land owner to use a metal detector and dig vs. needing such permission on your own land seems very different IMO.

The English law seems focused on preventing trespassing and digging holes in people's yards, and also to make sure the land owner gets compensated for anything of value found. (e.g. from the link by madax below: In England "An experienced detectorist, Davies would have known he was entitled to half of the proceeds of legal sale of the treasure, instead choosing to deprive the landowner and public by stealing this exceptional and significant treasure.")

The Irish law seems focused on preventing anything from being found.

My problem with TikTok is not that it's a Chinese company per se, but that China won't allow an equivalent US (or EU) company to operate in China. TikTok itself is even banned in China.

Yeah what on earth do you mean when you say cops aren't interested in catching people who broke the law, but are interested in catching "someone". That makes no sense.

Where did I say anything about justifying power abuse?

When you say criminals, who do you mean exactly - someone who very recently committed a crime? And by catching someone... catching them do what?

I know several officers, and can safely say they are as varied a group as any other profession. Their day-to-day typically consists of responding to 911 calls, backup to other officers, or traffic duty. I think they generally are interested in catching people breaking the law - particularly the really bad ones. And sure, they would prefer it to be easy, who wouldn't. They get paid like $60k/yr and their day-to-day involves stuff like responding to a domestic violence calls with belligerents wielding various weapons. My biggest challenge most days is finding a parking spot.

NOVA made a film about this called "Case of the Frozen Addict".

You can watch here:

https://openvault.wgbh.org/catalog/V_474CF2C8A20B4173988486A...

True, true. If they are really shaking down passengers for the hell of it to steal their money, that is obviously messed up. It will certainly make me reconsider traveling to Indiana with a duffle bag filled with wads of hundreds.

If the DEA knows you are about to board a plane back to Columbia with copious amounts of cash after a 24 hour vacation to the States, it's questionable if it's really "your money".

The three options are (a) the feds hold the cash until its origin is found to be legit, (b) they hold the person until the cash is verified legit, (c) the suitcase of cash and the person fly away never to be seen again.

I guess the 4th option would be making it much easier and faster for the DEA to obtain a warrant; but this just leads back to a, b, or c.

n.b. I am totally against local cops holding any amount of discovered money during random searches. That's a huge conflict if interest. I'm mainly commenting on the original post.

I love this. Simple. Informative. Fun.

I think the conclusion of the paper is far more mundane. It's curious that VLM can recognize complex novel objects in a trained category, but cannot perform basic visual tasks that human toddlers can perform (e.g. recognizing when two lines intersect or when two circles overlap). Nevertheless I'm sure these models can explain in great detail what intersecting lines are, and even what they look like. So while LLMs might have image processing capabilities, they clearly do not see the way humans see. That, I think, would be a more apt title for their abstract.

> I do eat my Huel, by the way; I don’t drink it. I make it with less water so my Huel is the consistency of melted ice cream. Then I pour my Huel into a bowl and eat it with a spoon.

Huel, more like Gruel.

The number we put on the cake represents the number of "years old" (i.e. the number of birthday anniversaries) not the number of birth days someone had (obviously). Zero year-olds are 0, one year-olds are 1, ...

As you pointed out, there are many other map apps that target specific communities and use cases. It doesn't seem too surprising that google maps is designed primarily for the most common use case (the fastest route from current location to a specific destination).

Part of the problem is that methods sections in contemporary journals do not provide enough information for exact replication, and in the most egregious cases let authors write stuff like "cultured cells prepared according to prevailing standards".

Apparently you cannot "unbrick" your apps until you return to this physical brick device. But yeah, you might be able to accomplish the same thing with a printed QR code.

My wild hair theory is that it could be due to sleeping with a fan on every night. Looking back, it seems like I always had a box fan, oscillating fan, or ceiling fan running at night. So that's 8 hours of auditory exposure to the same constant frequencies, every night for many years.

> low floating tones would cover [other people’s] speech

This is not my experience. I've had tinnitus my entire life, and it's more of a phantom sound (cf. phantom limb) than a something that competes with sounds in the real world. That is, if there is any real noise like speech it basically gets muted. In a completely quiet environment however the ringing sensation can be comparable to high pitch TV static. The quieter the environment, the louder it gets.

Wall Street Journal article:

http://archive.today/eiPl5

It seems slightly more acceptable than kicking someone out of the store due to mistaken identity.

A few questions here...

How did they know she shoplifted in the first place?

Does the tech also identify shop lifting, or do they just search a database of people convicted of shoplifting (in which case they could have just checked this person's ID and realized it was mistaken identity).

Is being caught shoplifting a credible reason to deny someone access to basic goods indefinitely? What if all supermarkets in a town use the same facial rec service?

And many physicians still recommend putting ice on sprained ankles 5x per day to reduce the “harmful” swelling. Even though the abundance of research now shows icing delays the infiltration of proteins, hormones, and cells that aid in healing processes (and can even cause further tissue damage).

Practices like this stick around because of the desire to be seen making proactive recommendations with putative benefit.

With the dresses there is clearly something odd happening. In all cases except one the cheapest dresses sold the fewest items even compared to ones that were $10 more expensive.

The linked GitHub article above describes syntax for fine tuning Mistral for function calling.

Here is an example of data prepared for fine tuning Llama for function calling...

https://huggingface.co/datasets/mzbac/function-calling-llama...

I'm unaware of any comprehensive guides - we're still in the wild west.

Function calling might be one reason. If your app has a lot of custom functions for interacting with tools, fine tuning may be preferred over using context tokens.

How would an LLM be "let loose" in a VM? How does it do anything without being prompted?

Anthropic defines ASL-3 as...

> ASL-3 refers to systems that substantially increase the risk of catastrophic misuse compared to non-AI baselines (e.g. search engines or textbooks) OR that show low-level autonomous capabilities.

> Low-level autonomous capabilities or Access to the model would substantially increase the risk of catastrophic misuse, either by proliferating capabilities, lowering costs, or enabling new methods of attack (e.g. for creating bioweapons), as compared to a non-LLM baseline of risk.

> Containment risks: Risks that arise from merely possessing a powerful AI model. Examples include (1) building an AI model that, due to its general capabilities, could enable the production of weapons of mass destruction if stolen and used by a malicious actor, or (2) building a model which autonomously escapes during internal use. Our containment measures are designed to address these risks by governing when we can safely train or continue training a model.

> ASL-3 measures include stricter standards that will require intense research and engineering effort to comply with in time, such as unusually strong security requirements and a commitment not to deploy ASL-3 models if they show any meaningful catastrophic misuse risk under adversarial testing by world-class red-teamers

Pffft. Maybe the EU would have some big tech companies of their own if they didn't take entire summers off work.

The EU's biggest money maker is enacting laws that can be used to sue American tech companies.

This is an interesting update to the article...

> After publication, an OpenAI spokesperson sent me this statement: “We have never canceled any current or former employee’s vested equity nor will we if people do not sign a release or nondisparagement agreement when they exit.”

- Updated May 17, 2024, 11:20pm EDT

Souplantation did it better and didn't survive.

> you can be sure that some startup will disrupt the LLM market by finding a way to do it

Indeed if a startup can find a way to scrub PII of living people from 20 billion pages of text (and prevent LLMs from ever hallucinating) they would be quite a valuable company, in the LLM dev space and numerous other ventures. Until then the EU might have to go without access to language models.