The 3 US models have their own style. Qwen3.8 is very clearly distilled from Claude models.
We all get Segways, problem solved.
Add in a heaping dash of anti-american sentiment, and you will get the truth behind the pessimistic commentary. Downplaying the latest models capabilities is frankly insane considering what we’ve seen what OpenAI’s…
> Qwen 3.8 and GLM 5.3 Flash were not just cheaper, the results were significantly higher quality How can they be higher quality than models they were distilled from?
Unusual means? It’s illegal to steal accounts and credit cards. Completely sanctioned by PRC. No other country can compete since they must follow the law, hence mistral not even trying anymore.
> these proxy services create thousands of new accounts using false identities, fake or stolen credit cards, and stolen API keys. They will often use stolen API credentials belonging to legitimate companies or…
> Framing learning from observation as somehow bad. How about hacking accounts, using stolen credit cards, and sending data to the US silently? > Pretending that this is bad It is. This makes AI a 2 horse race because…
Except they use thousands of stolen credentials which is definitely not legal. They also don’t notify users they send data to US labs which can include sensitive information. EU labs like mistral cannot legally do any…
They mean distillation is legitimate when labs use one of their own stronger models to train a smaller one. They certainly aren’t advocating for PRC labs to distill Claude for open weight models.
The list of professions made obsolete is very long. Why should programming be protected if AI in the future can make software better, safer, and cheaper?
Yes, I have Tailscale on my AppleTV. Only traffic attempting to reach your tailnet is routed to you, the rest is on his own network. If you want to make it super easy for non technical people also use reverse proxies to…
If they could harness the energy from all your atoms it would be worth significantly more than 2 million.
I hate it because I hate having to look at these AI generated images. In fact I want an internet where I have to explicitly opt-in to see AI generated content in general.
My apologies then. Those debrid services seem like they are run in on borrowed time though so I don’t use it. I have friends that do and seem to like it, but I prefer having a local library (*arr stack)
Tailscale. Your friend just needs to be invited to your tailnet. Super easy to use with clients on all the major devices.
This seems like spam in order to get people to sign up to a service with your referral link. It’s literally just a guide on how to create an account.
I like them both, but I can never give up plexamp. I’ve tried navidrome and various jellyfin clients but I keep going back.
(58% on OpenRouter) I believe both things can be true. OAI/Anthropic selling more tokens than ever, and downloadable weight models increasing in market share. I doubt OpenAI would copy Fables pricing if it wasn’t…
> different benchmarks for different domains. Labs know the only thing the public even discusses on model releases are benchmarks, so they devote a majority of training on just benchmaxxing. It’s marketing. Muse Spark…
That likely won’t change if other competitors don’t take the lead at some point. If companies are willing to pay top dollar for the best models AND they get to extract as much money from Chinese labs distilling…
Hopefully this wakes people up from this addiction to benchmarks when discussing various AI models. Different model families have strengths and weaknesses in various domains, but those are never discussed.
“Bobcoins are the consumption-based billing metric used for Bob subscriptions. They provide a transparent, predictable way to measure and bill for your Bob usage.” I’m getting sick of these mobile game currency style…
I have no faith in these benchmarks. Muse 1.3 shouldn’t even be in the same conversation yet it scores above GPT 5.6 & 6.0
Frontier. Everything is frontier. K2 not to be confused with the other K2, or K3 that is also frontier.
Yeah and how was it done? Why did all (60?) of the trump campaigns lawsuits get thrown out due to lack of evidence? Why did the democrats just simply forget to do it again? How many hoops will you have to jump through…
The 3 US models have their own style. Qwen3.8 is very clearly distilled from Claude models.
We all get Segways, problem solved.
Add in a heaping dash of anti-american sentiment, and you will get the truth behind the pessimistic commentary. Downplaying the latest models capabilities is frankly insane considering what we’ve seen what OpenAI’s…
> Qwen 3.8 and GLM 5.3 Flash were not just cheaper, the results were significantly higher quality How can they be higher quality than models they were distilled from?
Unusual means? It’s illegal to steal accounts and credit cards. Completely sanctioned by PRC. No other country can compete since they must follow the law, hence mistral not even trying anymore.
> these proxy services create thousands of new accounts using false identities, fake or stolen credit cards, and stolen API keys. They will often use stolen API credentials belonging to legitimate companies or…
> Framing learning from observation as somehow bad. How about hacking accounts, using stolen credit cards, and sending data to the US silently? > Pretending that this is bad It is. This makes AI a 2 horse race because…
Except they use thousands of stolen credentials which is definitely not legal. They also don’t notify users they send data to US labs which can include sensitive information. EU labs like mistral cannot legally do any…
They mean distillation is legitimate when labs use one of their own stronger models to train a smaller one. They certainly aren’t advocating for PRC labs to distill Claude for open weight models.
The list of professions made obsolete is very long. Why should programming be protected if AI in the future can make software better, safer, and cheaper?
Yes, I have Tailscale on my AppleTV. Only traffic attempting to reach your tailnet is routed to you, the rest is on his own network. If you want to make it super easy for non technical people also use reverse proxies to…
If they could harness the energy from all your atoms it would be worth significantly more than 2 million.
I hate it because I hate having to look at these AI generated images. In fact I want an internet where I have to explicitly opt-in to see AI generated content in general.
My apologies then. Those debrid services seem like they are run in on borrowed time though so I don’t use it. I have friends that do and seem to like it, but I prefer having a local library (*arr stack)
Tailscale. Your friend just needs to be invited to your tailnet. Super easy to use with clients on all the major devices.
This seems like spam in order to get people to sign up to a service with your referral link. It’s literally just a guide on how to create an account.
I like them both, but I can never give up plexamp. I’ve tried navidrome and various jellyfin clients but I keep going back.
(58% on OpenRouter) I believe both things can be true. OAI/Anthropic selling more tokens than ever, and downloadable weight models increasing in market share. I doubt OpenAI would copy Fables pricing if it wasn’t…
> different benchmarks for different domains. Labs know the only thing the public even discusses on model releases are benchmarks, so they devote a majority of training on just benchmaxxing. It’s marketing. Muse Spark…
That likely won’t change if other competitors don’t take the lead at some point. If companies are willing to pay top dollar for the best models AND they get to extract as much money from Chinese labs distilling…
Hopefully this wakes people up from this addiction to benchmarks when discussing various AI models. Different model families have strengths and weaknesses in various domains, but those are never discussed.
“Bobcoins are the consumption-based billing metric used for Bob subscriptions. They provide a transparent, predictable way to measure and bill for your Bob usage.” I’m getting sick of these mobile game currency style…
I have no faith in these benchmarks. Muse 1.3 shouldn’t even be in the same conversation yet it scores above GPT 5.6 & 6.0
Frontier. Everything is frontier. K2 not to be confused with the other K2, or K3 that is also frontier.
Yeah and how was it done? Why did all (60?) of the trump campaigns lawsuits get thrown out due to lack of evidence? Why did the democrats just simply forget to do it again? How many hoops will you have to jump through…