Stopped using it after about a week or two of usage. The only interesting use case was screen mirroring from my Mac, but that wasn't compelling enough to endure the weight of it on my face. I expected watching a movie would be a good use case, but in reality the brightness of the screen would reflect (I guess?) off my face and create a glare... so it ultimately wasn't a good movie device. Gave it to a friend who was excited about it, and he also stopped using it after about a week or two.
A native application that further locks users into some single platform? Or accept all the maintenance and development costs and burdens that keep the application one step behind Photoshop if they wanted to support multiple platforms?
Wouldn’t it be better to use a grammar in the token sampler? Tuning is fine, but doesn’t guarantee a syntactical correct structured output. But if the sampler is grammar aware it could.
Then you go to another supplier. But any company with proper counsel will tell them the same thing: don't break the law, which is exactly what they're trying to coerce Anthropic into doing. DoD requests do not supersede the law.
The premise of this study is a bit misguided, imho. I have absolutely no idea how many people _post_ harmful content. But we have a lot of data that suggests a _lot_ of people consume harmful content.
Most users don't post much of anything at all on most social media platforms.
This is an old relatively low budget TV movie, it's not on TV+ (which I subscribe to). Nor can you rent it on iTunes, it doesn't even show up when you search for it. Same for Prime Video, etc.
Not OP, but yes believe it or not it's impossible to find certain movies anywhere other than pirating them. One example is "Pirates of Silicon Valley", I watched it when I was young and recently wanted to watch it again. I pay for basically all the streaming services, I'm would have been happy to rent it from any service at all. I spent several hours trying to find a way to pay to watch it and never could.
I'm pretty sure it's just being used as a turn of phrase here. Under the bridge means commuters are riding BART, over the bridge means they're driving.
Yet it's interesting how we put the blame and punishment on the people being taken advantage of, and not the employers who are exploiting them. If both parties are breaking the law shouldn't we at the very least ensure that the business owner who is exploiting any number of workers is held to the same standard as an undocumented person whose only crime was not having the proper paperwork?
This is a technology demo, not a model you'd want to use. Because Bitnet models are only average 1.58 bits per weight you'd expect to need the model to be much larger than your fp8/fp16 counterparts in terms of parameter count. Plus this is only a 2 billion parameter model in the first place, even fp16 2B parameter models generally perform pretty poorly.
I'm also confused by that, but it could just be the model being agreeable. I've seen multiple examples posted online though where it's fairly clear that the COT output is not included in subsequent turns. I don't believe Anthropic is public about it (could be wrong), but I know that the Qwen team specifically recommend against including COT tokensfrom previous inferences.