I believe it should be all over the media to ensure that it never passes. Democracy dies in darkness. Name and shame those who supported it.

Fuck around and find out.

Video of Charlie’s callous attitude toward the victims of gun violence + him finding out (NSFW NSFL)

Fuck around and find out.

Video of Charlie’s callous attitude toward the victims of gun violence + him finding out (NSFW NSFL)

Fuck around and find out.

Video of Charlie’s callous attitude toward the victims of gun violence + him finding out (NSFW NSFL)

“… and we pride ourselves in building on our strong record of protecting people’s privacy.”

The defense has destroyed any and all credibility with that single clause.

It’s a step in the right direction, but reserving the right to sue companies that collect and share our most sensitive personal information and whereabouts is not enough. It is a cost of doing business to them to be weighed against the potential for profit. This line of thinking is now taught in business schools.

Nothing will change materially until the executives are faced with the potential of jail time.

NewPipe does this for free

Remember that brief period in the US where, for a fleeting moment, Lina Khan went after a few companies for monopolistic practices?

if battery < 10:
  price = price * 2

Many AI. Much wow.

Sorry for the slow reply, but I’ll piggyback on this thread to say that I tend to target models a little but smaller than my total VRAM to leave room for a larger context window – without any offloading to RAM.

As an example, with 24 GB VRAM (Nvidia 4090) I can typically get a 32b parameter model with 4-bit quantization to run with 40,000 tokens of context all on GPU at around 40 tokens/sec.

I use open source 32b Chinese models almost exclusively, because I can run them on my own machine without being a data cow for the US tech oligarchs or the CCP.

I only use the larger models for little hobby projects, and I don’t care too much about who gets that data. But if I wanted to use the large models for something sensitive, the open source Chinese models are the more secure option IMO. Rather than get a “trust me bro” pinky promise from Closed AI or Anthropic, I can run Qwen or Kimi on a cloud GPU provider that offers raw compute by the hour without any data harvesting.

I actually interpreted it as callous to the suffering women endure at first read for some reason. But yeah, there’s very much an element of, “The stakes are higher for women, so they can deal with the side effects,” which is awful.

At first read that came off as callous, but I see your point. I had that thought as well regarding improving female birth control. Where’s the research into a hormone-free pill for women?

It looks like the hormonal NES/T male contraceptive gel passed safety a while back and started phase 2 trials in 2018. It’s already gearing up for phase 3 trials with investors ready to fund this final phase:
https://www.einpresswire.com/article/835140008/contraline-exercises-license-option-for-nes-t-the-first-male-contraceptive-to-reach-late-stage-development

But a hormone-free option is more appealing. I hope YCT-529 makes it to the finish line.

June 29, 2010
Introducing the First Male Birth Control Pill
https://www.cosmopolitan.com/lifestyle/news/a8721/male-birth-control-pill-contraception/

That’s the earliest year I remember hearing about a male birth control pill. There are probably articles from years prior to 2010. Obviously this is a great advancement, but is it reasonable to expect one of these to actually come to market within the next decade?

Edit: Actually, this is discussed in an article linked to by the Scientific American article:

A joke among researchers in the field of male contraception is that a clinically approved alternative to condoms or vasectomy has been five to 10 years away for the past 40 years.

Not OP, but I’d be more interested in making a tiny ball round enough to roll across a surface and fall into a hole (not the “absence of an electron” meaning of that word). And I’d want it achieved through gravitational forces rather than electromagnetic. I feel like that makes the problem harder and largely makes it a materials science question. Someone in MEMS research probably has a good idea of how to approach this.

With those parameters, the system would probably need to operate in a high vacuum with as little interaction from electromagnetic forces as possible. All materials used should probably have a low permittivity to reduce the amount of static charge buildup from friction. Intuitively, I feel like it makes sense to use the same material for everything. But it might not be that simple. Maybe the material used to make the smallest round ball isn’t well suited to making the smoothest surface for a short putting green?

I dunno, I’m just a guy who took a few classes on semiconductor design in undergrad spit balling.

I’ve always had an issue with calling any of this AI. The branding is part of the problem. These people probably don’t realize that they’re talking to a fancy word predictor tuned to stroke their egos for engagement.

If it comes with the bubbles screensaver, I’m in

Link to the video:
https://xcancel.com/GeoffLewisOrg/status/1945212979173097560

Dude’s not a “public figure” in my world, but he certainly seems to need help. He sounds like an AI hallucination incarnate.

https://github.com/timvisee/send-instances