I read that GLM 5.2 (and other GLM models) were specifically trained to be "helpful" as Claude is. I have big hopes on GLM line of models growing to be a real alternative to the Claude in the near future.
3,907 karma · joined November 12, 2013
I read that GLM 5.2 (and other GLM models) were specifically trained to be "helpful" as Claude is. I have big hopes on GLM line of models growing to be a real alternative to the Claude in the near future.
1. Force KYC is US LLM providers, gleefully supported by the US LLM providers.
2. Next -> now Chinese LLM providers must use KYC in the "free market" Western world.
3. But we can's allow KYC information to go to China, can we?
4. Now Western customers can not access Chinese LLM
5. Prices go up 10x to $2,000+/month. Anthropic/OpenAI are happy.
Corporate accounts, in the US, will have full personal identification through the corresponding company's HR.
For the last several years, Anthropic was telling to anyone who will listen: “Government must regulate our models”. Finally, Government heard them.
Now, they telling their customers, “Oh, it’s the Government’s fault”.
No, you’ve been telling everyone: our models are “too powerful”, “too dangerous”. Now what?
Here is a site that focuses on COVID and Cancer: https://imahealth.org/
Moved on to Zed (native Rust rendering) 2 weeks ago -> nothing flickers.
Sadly, with Fable 5 cutoff, I am actively exploring CC alternatives. Pi/OMP.sh works great as an agent (definitely better than CC). GPT is seemingly not as good as Opus, but with better agent and better skills, it probaly won't matter anyway. GPT lets you use any agent on Pro subscription.
One thing that I would like to try is Pi code agent. People seems to like it. GPT allows you to use it on subscription, but Anthropic cut that off on Max subscription. One more incentive to try something new. Also, I feel that I rely on Anthropic too much and none of these guys could be trusted. Next step -> foray into the Chinese models (admittedly not as good). Hopefully, they will get good enough soon.
If you have any substantiative rebuttals, post it.
Judging by the amount of bugs in CC, this model can't be all that good.
But regardless, what is the point of paying to Anthropic if their models are not available to you? I am switching to GPT 5.5.
It was so atrocious, the ELIZA program we built in Stanford NLP class 20+ yrs ago would have been better.
It was “oh shit”, these trillion dollar AI companies are going down 9 months from now and taking the market down with them.
I love buying and reading physical books. However, about half of the books (I read mostly programming books) have letters that are printed pixelated. This is infuriating to me. No one bothers to run a trial print and see what comes out?
The root cause of this: PDF will look fine, but the text color is usually set slightly off black (why!!??). The eye couldn’t really see the difference and PDF renders smoothly. However, commercial printers couldn’t handle that properly.
Solution: set the text color to full black, you are using (most of the time) black and white printer!
You might need to have two PDF versions: one for printing and one for digital distribution (but why would you have off-black text anyway?).
It does not matter if AI produces it or his second cousin, visiting from Antigua.
Therefore, these personnel restrictions shouldn't matter, right?
Replace all Oracle Applications in the Enterprise, for example. That will keep Corporate IT/Dev teams busy for quite a while.
Of course, this does not involve Oracle infrastructure, such as Database.
I keep hearing about "the promise" and "achieving quantum supremacy" (again!), but is there a real example of a quantum machine doing something useful in real life?
If they sensor something like this, how could we trust platforms with the actually important subjects?
Now, the OpenAI will be lecturing their own users, while expecting them to make them rich. I suspect, the users will find it insulting.
Generation for personal use is not illegal, as far as I know.
Internally, they could actually write 1,000X more software and it will be absorbed by internal customers. They will buy less packaged software from tech firms (unless it's infrastructure), internally they could keep the same headcount or more, as AI allows them to write more software.