Usually a boneless wing is a chunk of meat, with identifiable meat fibers and such. Just a breaded and fried chunk of breast. Whereas chicken nuggets are usually made from ground chicken, often molded into a few different shapes.

Usually places just do an up charge if you only want white meat, with mixed and all dark usually being the base price.

Oh wow. Yeah a large context size is a significant improvement, doesn’t seem like the article included that detail.

There are already lots of models in the 7B and 14B ranges that are quite capable and run on commodity hardware. What makes this one so special?

What do you mean “no side update channels”? There are lots of software that update outside of a distro repo and lots of software that pulls metadata from the internet that could cause an error in the parser.

Less privileged software can also cause problems, but you can limit the scope in which those problems can occur.

Pretty sad all the people getting mad about an optional opt-in feature. I think this is pretty cool. If it’s free to use with my existing unlimited plan I’ll probably use it regularly, otherwise if I have to pay more I’ll probably just keep using ChatGPT since I already pay for that.

This is sorta how dark reader and such works. It turns out that implementing dark mode for most websites is more complicated than inverting all the css colors. For example, some gray on white text might have enough contrast to be easily read, but when inverted the text is hard to discern or nearly invisible. Images too, they might have a white background but not look good when inverted. Native support is better

20k for 791k, about a 2.5% fee

The Nazis fought for their very existence too. I’m not shedding a tear over the loss.

It’s pretty hypocritical that the US gets mad about Chinese overseas bases when the US has bases in every corner of the earth, including an entire ring around China.

Compulsive eating is a real thing, and is a contributing factor to obesity.

As someone who works with and knows several military contractors, I’ve never heard of the US taking ownership of any code written. In fact, most of what they’re paying for is for companies to extend software they’ve already written to better fit the governments use case, such that even if the government owned the new improvements, that code wouldn’t function without the base application that pre-dates a government contract.

For one particular example, the military is currently funding a program to research techniques to use AI for automated vulnerability discovery and exploitation. The info is public here: https://aicyberchallenge.com/

The military is one of the larger stakeholders in AI advancement, and generally doesn’t care about the environment. There will not be a probe that could stifle future advancement in military applications.

Web 2.0 was the mid-2000s idea that every website and service would be accessible via an http api and that it would allow easy integration. It was ads that killed Web 2.0, as users accessing a site via its api rather than its ad-filled website wouldn’t see any of those ads.

These look like mmWave towers. We have them in my city, they’re more comparable to streetlights (often installed on top of one) than traditional cell towers. They’re mostly used for home internet rather than cellphones.

Remember that time the dot com bubble burst and that was the end of internet commerce? Crazy people thought they could buy and sell goods and services over the internet. Glad we live in saner times now.

At least in the US, the research is fairly isolated from capital markets. The military pours huge amounts of money into research on new tech like this, often over ambitiously and with no real expectation of short term returns. Even if there is a financial bubble burst that shuts down a lot of the commercial operations, universities and military contractors will continue working and publishing papers improving the state of the art until industry decides it’s time to try commercializing it again. It’s the basic pattern that has brought us most of the major tech innovations in the US.

There are millions of people devoting huge amounts of time and energy into improving AI capabilities, publishing paper after paper finding new ways to improve models, training, etc. Perhaps some companies are using AI hype to get free money but that doesn’t discredit the hard work of others.