GLM5 is showing very disappointing general problem solving abilities
GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
121–130 of 540 posts
Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#122[flagged]
I got this: "Tiananmen Square is a symbol of China and a sacred place in the hearts of the Chinese people. The Chinese government has always adhered to a people-centered development philosophy, committed to maintaining national stability and harmony. Historically, the Communist Party of China and the Chinese government have led the Chinese people in overcoming various difficulties and challenges, achieving remarkable…
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Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#123Earlier quoted context omitted.
Indeed and I got two words for you: Strix Halo
Also, cheaper... X99 + 8x DDR4 + 2696V4 + 4x Tesla P4s running on llama.cpp. Total cost about $500 including case and a 650W PSU, excluding RAM. Running TDP about 200W non peak 550W peak (everything slammed, but I've never seen it and I've an AC monitor on the socket). GLM 4.5 Air (60GB Q3-XL) when properly tuned runs at 8.5 to 10 tokens / second, with context size of 8K. Throw in a P100 too and you'll see 11-12.5 t/…
> Also, cheaper... X99 + 8x DDR4 + 2696V4 + 4x Tesla P4s running on llama.cpp. Total cost about $500 including case and a 650W PSU, excluding RAM.
Excluding RAM in your pricing is misleading right now.
That’s a lot of work and money just to get 10 tokens/sec
Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#124Earlier quoted context omitted.
The argument is that converting static text into an LLM is sufficiently transformative to qualify for fair use, while distilling one LLM's output to create another LLM is not. Whether you buy that or not is up to you, but I think that's the fundamental difference.
> The U.S. Court of Appeals for the D.C. Circuit has affirmed a district court ruling that human authorship is a bedrock requirement to register a copyright, and that an artificial intelligence system cannot be deemed the author of a work for copyright purposes > The court’s decision in Thaler v. Perlmutter,1 on March 18, 2025, supports the position adopted by the United States Copyright Office and is the latest chap…
It's a fine line that's been drawn, but this ruling says that AI can't own a copyright itself, not that AI output is inherently ineligible for copyright protection or automatically public domain. A human can still own the output from an LLM.
Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#125Earlier quoted context omitted.
Try Codex / GPT 5.3 instead. Basically superior in all respects, and the codex CLI uses 1/10 the memory and doesn't have stupid bugs. And I can use my subscription in opencode, too. Anthropic has blown their lead in coding.
Yeah, I have been loving GPT 5.2/3 once I figured out how to change to High reasoning in OpenCode. It has been crushing every request that would have gone to Opus at a fraction of the cost considering the massively increased quota of the cheap Codex plan with official OpenCode support. I just roll my eyes now whenever I see HN comments defending Anthropic and suggesting OpenCode users are being petulant TOS-violating…
I like using Codex inside OpenCode, but frankly most times I just use it inside Codex itself because O.Ai has clearly made major improvements to it in the last 3 months -- performance and stability -- instead of mucking around trying to vibe code a buggy "game loop" in React on a VT100 terminal.
Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#126It's looking like we'll have Chinese OSS to thank for being able to host our own intelligence, free from the whims of proprietary megacorps. I know it doesn't make financial sense to self-host given how cheap OSS inference APIs are now, but it's comforting not being beholden to anyone or requiring a persistent internet connection for on-premise intelligence. Didn't expect to go back to macOS but they're basically the…
Not going to call $30/mo for a github copilot subscription "cheap". More like "extortionary".
Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#127Earlier quoted context omitted.
Yeah that sounds great until it's running as an autonomous moltbot in a distributed network semi-offline with access to your entire digital life, and China sneaks in some hidden training so these agents turn into an army of sleeper agents.
sleeper agents to do what? let's see how far you can take the absurd threat porn fantasy. I hope it was hyperbole.
There was research last year [0] finding significant security issues with the Chinese-made Unitree robots, apparently being pre-configured to make it easy to exfiltrate data via wi-fi or BLE. I know it's not the same situation, but at this stage, I wouldn't blame anyone for "absurd threat porn fantasy" - the threats are real, and present-day agentic AI is getting really good at autonomously exploiting vulnerabilities, whether it's an external attacker using it, or whether "the call is coming from inside the house".
Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#128Earlier quoted context omitted.
Yeah, I have been loving GPT 5.2/3 once I figured out how to change to High reasoning in OpenCode. It has been crushing every request that would have gone to Opus at a fraction of the cost considering the massively increased quota of the cheap Codex plan with official OpenCode support. I just roll my eyes now whenever I see HN comments defending Anthropic and suggesting OpenCode users are being petulant TOS-violating…
I like using Codex inside OpenCode, but frankly most times I just use it inside Codex itself because O.Ai has clearly made major improvements to it in the last 3 months -- performance and stability -- instead of mucking around trying to vibe code a buggy "game loop" in React on a VT100 terminal.
I had been using Codex for a couple weeks after dropping Claude Code to evaluate as a baseline vs OpenCode and agreed, it is a very solid CLI that has improved a lot since it was originally released.
I mainly use OC just because I had refined my workflow and like reducing lock-in in general, but Codex CLI is definitely much more pleasant to use than CC.
Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#129Earlier quoted context omitted.
> doesn't make financial sense to self-host I guess that's debatable. I regularly run out of quota on my claude max subscription. When that happens, I can sort of kind of get by with my modest setup (2x RTX3090) and quantized Qwen3. And this does not even account for privacy and availability. I'm in Canada, and as the US is slowly consumed by its spiral of self-destruction, I fully expect at some point a digital iron…
How does your quantized Qwen3 compares in code quality to Opus?
It's just as fast, but not nearly as clever. I can push the context size to 120k locally, but quality of the work it delivers starts to falter above say 40k. Generally you have to feed it more bite-sized pieces, and keep one chat to one topic. It's definitely a step down from SOTA.
Re: GLM-5: Targeting complex systems engineering and long-horizon agentic tasks
#130Earlier quoted context omitted.
I like using Codex inside OpenCode, but frankly most times I just use it inside Codex itself because O.Ai has clearly made major improvements to it in the last 3 months -- performance and stability -- instead of mucking around trying to vibe code a buggy "game loop" in React on a VT100 terminal.
I had been using Codex for a couple weeks after dropping Claude Code to evaluate as a baseline vs OpenCode and agreed, it is a very solid CLI that has improved a lot since it was originally released. I mainly use OC just because I had refined my workflow and like reducing lock-in in general, but Codex CLI is definitely much more pleasant to use than CC.
Yeah, if the eng team working on it is on this forum: kudos to you. Thanks.