401–410 of 626 posts
Apple will release M7 MacBook Pros / Mac Minis next year, and they will be able to run free LLMs locally at native speed. All software developer notebooks will be replaced to run local models, saving a lot by cancelling Claude Code subscriptions. Developers win. Apple stocks will be rocketing. Everything else will go down. You're welcome.
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Inversely I don’t understand the praise for CC. These days it feels like bloatware. It absolutely can get the work done but when I measure on token and time use it ends up being a multiple of pi like harnesses. CC works but for me it felt like increasingly they have zero incentive to make it a great experience. You hear folks like Boris talk about spinning up thousands of agents over night and agents chatting back an…
So is the quantitative difference in token use the only difference or do you think there's also a different qualitat? I'm on CC only and immensely happy. Very productive both at work and privately and at work I average around $250 a month which probably means nothing but it's little compared to my salary. Is that the main concern though, cost?
That being said, I had to nope out of a similar thing from GPT 5.6 today, so it appears to be a US frontier lab issue. Claude is particularly bad though, as it produces far too much code even when I tell it not to, unlike GPT (and Kimi) which at least listen to me a little better.
More generally, I want a usable human review experience, and Claude code doesn't deliver that for me.
I bought $18 GLM official subscription yesterday (5.2, but new model version was already leaking on some docs), set it up with Claude Code harness... and I’ve bumped to $80 plan almost immediately. It’s the first model that agreed on a proper security research (red team scenario), executed it seamlessly, including 0-days in WP plugins, RCE, 6.8 kernel exploit adaptation, etc - while playing against another GLM agent…
How much usage do you get out of it per week? How many millions of tokens? Anthropic was stingy as hell with its Fable and cybersecurity nonsense, switched to OpenAI which is much better but still not enough. I'm tempted to switch again...
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does this suggest 5.3 is the same # of parameters as 5.2?
“Today we are releasing GLM-5.3. It uses the same base model as GLM-5.2 — every gain comes from post-training.“
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Inversely I don’t understand the praise for CC. These days it feels like bloatware. It absolutely can get the work done but when I measure on token and time use it ends up being a multiple of pi like harnesses. CC works but for me it felt like increasingly they have zero incentive to make it a great experience. You hear folks like Boris talk about spinning up thousands of agents over night and agents chatting back an…
So is the quantitative difference in token use the only difference or do you think there's also a different qualitat? I'm on CC only and immensely happy. Very productive both at work and privately and at work I average around $250 a month which probably means nothing but it's little compared to my salary. Is that the main concern though, cost?
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Wdym "sadly they don’t support using Claude Code"? For the longest time that's all Zai supported - Claude code. I'd run it via export ZAI_ANTHROPIC_BASE_URL="https://api.z.ai/api/anthropic" export ZAI_ANTHROPIC_AUTH_TOKEN="$ZAI_API_KEY" claude-zai() { { local -; set -x; } 2>/dev/null ANTHROPIC_BASE_URL="$ZAI_ANTHROPIC_BASE_URL" ANTHROPIC_AUTH_TOKEN="$ZAI_ANTHROPIC_AUTH_TOKEN" claude "$@" } $ claude-zai I liked Claude…
I am not talking about GLM models being served through an Anthropic compatible API, that part is perfectly fine and I'm glad they support it! I am talking about ZCode, the program, being unable to delegate to other harnesses, like using Claude Code (or even OpenCode) within their UI, so that an Anthropic subscription can be used, because Anthropic don't let you use 3rd party harnesses directly. It's basically what Pa…
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I suggest you think why OpenAI was worth billions before ChatGPT. The valuation is not about how the current set of models can be monetized.
Could you just tell us why you think they were worth billions before ChatGPT, instead of suggesting that we think on it? You seem to know the answer already, so please share it with the class.
Really curious to see how GLM-5.3 performs on messy, real-world repositories once the weights are released