Yeah 3.5 was pretty ass w bugs but could write basic code. 4o helped me sometimes with bugs and was definitely better, but would get caught in loops sometimes. This new o1 preview model seems pretty cracked all around though lol
Yeah 3.5 was pretty ass w bugs but could write basic code. 4o helped me sometimes with bugs and was definitely better, but would get caught in loops sometimes. This new o1 preview model seems pretty cracked all around though lol
Not sure entirely where this fits into this conversation, but one thing I’ve found really interesting that’s discussed in this Convo w Dr. K (I don’t have a timestamp sorry). Tai Chi has much more significant affect on all health perspectives than typical Western running/jogging/yoga etc.
And research papers can note this, but as soon as researchers start attempting to dig into the actual mechanical process behind why it has such a significant affect, their papers will be rejected because it dips too far into Woo/Spiritual territory despite not describing what the woo is, just acknowledging that “something” is there happening.
I think it’s interesting we can measure results and attempt to explain what we’re seeing but western research tends to be so tied to physical mechanisms it has almost started hindering our advancement.
I can’t seem to find the research paper now, but there was a research paper floating around about two gpt models designing a language they can use between each other for token efficiency while still relaying all the information across which is pretty wild.
Not sure if it was peer reviewed though.
which does support the idea that there is a limit to how good they can get.
I absolutely agree, im not necessarily one to say LLMs will become this incredible general intelligence level AIs. I’m really just disagreeing with people’s negative sentiment about them becoming worse / scams is not true at the moment.
I doesn’t prove it either: as I said, 2 data points aren’t enough to derive a curve
Yeah only reason I didn’t include more is because it’s a pain in the ass pulling together multiple research papers / results over the span of GPT 2, 3, 3.5, 4, 01 etc.
That’s definitely valid, but just because a tool is used for scam doesn’t inherently mean it’s a scam. I don’t call the cellphone a scam because most my calls are.
The jump from GPT-4o -> o1 (preview not full release) was a 20% cumulative knowledge jump. If that’s not an improvement in accuracy I’m not sure what is.
Compare the GPT increase from their V2 GPT4o model to their reasoning o1 preview model. The jumps from last years GPT 3.5 -> GPT 4 were also quite large. Secondly if you want to take OpenAI’s own research into account that’s in the second image.
Curious why your perspective is they’re are more of a scam when by all metrics they’ve only improved in accuracy?
Nvidia shield is an option you should check out.
I understand the sentiment against the kernel based anti cheat, but as someone who’s played a lot of Counterstrike the top level, cheating essentially ruins the native game and forces you to use 3rd party matchmaking systems (Pre verified era)
I appreciate Riot for implementing Vanguard into Valorant, I don’t play a lot but it seems in a far better position because of the ability to control native matchmaking.
I’m also hoping the introduction to league leads to Smurf reduction which is primarily the biggest problem with their native matchmaking system.
I don’t mind this being done through the government site, but it shouldn’t be done by a third party business.
It also skirts around the fact that the main reason China is so prominent in the EV market, both locally and internationally, is because Tesla’s biggest factory is located in China.
Tesla’s aren’t really the go-to EV locally in China. BYD is mostly the go-to and they’re even starting to overtake Tesla internationally as well.
Battery powered cars are likely to do the same thing. We are at the point were we are realizing that this won’t scale up.
This is a very Western (US especially) argument. All across major cities in the East, China specifically you’re already seeing major cities becoming increasingly electrified far far beyond what is both being done in the US currently and what is capable of being done by the US in the next 10 years.
with the Fediverse being a couple million people
Yes thank you as I never see this being mentioned around here. I believe the last monthly active users was 300k? While it’s not nothing, meta doesn’t give any shit about a one time acquisition of 300k users who don’t want to use their platform.
We aren’t even “worth” extinguishing right now. These decisions are being made at a level far above us. We just don’t know why yet. I’m expecting them to use ActivityPub as a tie in for Threads/Insta/FB.
Next point equally dumb: no one owns the fediverse, sure. But if enough instances say no, that means they are not welcome. Democracy and all…
If you want to talk about democracy, technically they would have the most weight as they have the most active users.
that means they are not welcome.
Also to this specifically. Not a single CEO or threads user cares.
Realistically this graph wouldn’t include Snapchat, as it’s less of a “social media” than the others. Most people nowadays use it strictly as a messaging platform.
Not OP but mostly for when content on one gets DMCA’d.
I only have Eweka and haven’t had any trouble finding any TV series or movies. No experience with audio books though, but I’d expect similar results since audiobooks are probably less strict with dmca than movies. I also don’t think Eweka respects dmca takedowns.
TikTok has video controls you can move to any part of the video. It also has 2x play speed.
This is actually the problem with mid sized communities. If there’s two political communities and their content is 70% overlapping then you’re obviously going to unsubscribe from one as your feed becomes cluttered. But then you’re missing that 30% of content from the other community.
Imo it’s bc it’s the new kid on the block. Yes it’s 10 years old but barely becoming common use in production and government mandates are only speeding that up. In actuality it’s a great language and has been hyped for a few years by people who actually use it. Python went through the same thing in the 2010s where devs really tried clowning on it, now it’s used everywhere.