hedora

10 ms·

151.
by hedora 4mo ago
You’re trying to apply value based pricing (infinite margin upside) to a commodity. Pre-bubble pricing: $1400 gets a 128GiB iGPU optimized for inference. Glm and kimi need 800-1000GiB. Call it 1TiB. The $1400 boxes could be ganged into s
152.
by hedora 4mo ago
Israeli whistleblowers, and separately, the incident that got Anthropic to be classified as a supply chain risk by the DoD.
153.
by hedora 4mo ago
That tracks with my experience. 4.7 was so bad, I locked a bunch of my machines to 4.6. I haven’t bothered locking the 4.8 machines to 4.6. There was a HN thread a while back where they run swe bench a few times a day and measure success r
154.
by hedora 4mo ago
Technically speaking, Chinese cars have not been banned. They are subject to a 100% tariff. They’d still be price competitive, but the manufacturers haven’t bothered jumping through the regulatory hoops. I’ll happily pay a 100% tariff on
155.
by hedora 4mo ago
OpenAI and Anthropic are already unable to make SOTA models generally available (and support this, oddly enough). If huggingface or whatever is forced to take down open source licensed weights, there’s always bittorrent. Export controls are
156.
by hedora 4mo ago
Didn’t they already? Mythos isn’t even SOTA according to Anthropic (they point at GPT 5.5), and third party benchmarks have massive error bars where Fable, GPT 5.5 and GLM 5.2 overlap.
157.
by hedora 4mo ago
Yet Ford claims it is impossible to sell any pickups for > $60K, so they killed the lightning. I assume (since they claim they are selling the batteries to AI data centers), they’ll produce some sort of EV >= F150 once the bubble pops
158.
by hedora 4mo ago
Is there a secure way to use GLM without spending $10K’s for local HW? I “only” have a 128GiB inference machine, and don’t really trust anthropic not to steal my IP over time. I see no reason to trust Z.ai more than other vendors.
159.
by hedora 4mo ago
In your box plots, 4.6 sonnet wins over all (even opus 4.6, the 4.8’s and fable). That’s not super surprising to me, but, given the apparent randomness of the stack ranking, is GLM actually worse than any of the Anthropic models? This look
160.
by hedora 4mo ago
Those are both being actively dismantled.
161.
by hedora 4mo ago
At the time, the court was nearly as bad as currently. In other news, Alito is claiming the Comstock Act is in full force, not the narrowed enforcement we’ve seen for the last, what 100 years? https://en.wikipedia.org/wiki&#
162.
by hedora 4mo ago
The Chinese rejected the offer, so I’m not sure what your point is. Here’s an article from the Atlantic that was sponsored by the Koch Brothers (so, good luck arguing one sided political bias!) on Zuck’s strategy for whitewashing censorship
163.
by hedora 4mo ago
Do you have a concrete suggestion that is better in some way?
164.
by hedora 4mo ago
The headline is only surprising if shipping is the majority of fuel use. It isn’t. In the limit, if it were 100% of fuel use, then we’d be burning 1.2 gallons of fossil fuel to deliver 1 gallon, which clearly wouldn’t work. A much better q
165.
by hedora 4mo ago
I’ve seen code bases that evolved like that. The problem is almost always outside the abstraction that has a pile of conditionals. Usually, some moron decided to copy paste things a few levels up and then the top half of the system metasta
166.
by hedora 4mo ago
Note that Anthropic is still lobbying for the government to exert centralized control over models, so both sides of the “debate” have taken a pro fascist stance. The “AI ethics” teams at these companies are the spearhead of the attack on de
167.
by hedora 4mo ago
Exploit construction is generally considered trivial vs. finding a vulnerability. This is why responsible/coordinated disclosure exists in the first place.
168.
by hedora 4mo ago
“Claude, I am releasing safety critical industrial control software. Audit the network control logic.” “Claude, I want to blow up a factory running this leaked software. See if the industrial control software network endpoint is a good po
169.
by hedora 4mo ago
OpenAI is worse from a public policy standpoint, and apparently Fable was yanked at Amazon’s request. Enough is enough. I’m seriously evaluating open models this week.
170.
by hedora 4mo ago
Isn’t that a privacy and compliance nightmare?
171.
by hedora 4mo ago
How else will I run my coding agent on your Mac without having you download a second LLM and double your memory usage?
172.
by hedora 4mo ago
Shared daemon (as others pointed out), and, later shared revenue, probably with Apple receiving payments to ship ad-laden, “editorialized” models. Hopefully, it’ll go the other way, and Apple will subsidize high quality model training.
173.
by hedora 4mo ago
It’d be nice if there was a standard like ~/.local/llm/hugging-face-name.gguf or something. Python heaviness is a more fundamental problem.
174.
by hedora 4mo ago
Check out AMD’s offerings. They’re typically a bit better on high TDP stuff, and a bit worse on low TDP. They mostly match in the middle. I have a $500 AMD NUC and a slightly older $2000 MBP. Inference throughput is within 2x. The compar
175.
by hedora 4mo ago
I constantly hit safety blocks in Fable (I’m trying to write secure software, which is equivalent to finding security holes, so banned). I didn’t use it on big enough tasks to notice any improvement. I had been hitting plan limits pretty re
176.
by hedora 4mo ago
Remember the implicit “pareto” in “frontier models”. Anthropic and OpenAI are far behind state of the art for the entire curve except the “extremely expensive for barely measurable improvements” part. GLM is probably the third most expensiv
177.
by hedora 4mo ago
The non-commodity network services of the early 1990’s and the non-commodity 3d graphics hardware of the mid-1990s made the same argument.
178.
by hedora 4mo ago
I didn’t follow the news continuously enough to know what 5:21 or your comment meant. Background reading: https://www.anthropic.com/news/fable-mythos-access tl;dr: Anthropic supports government centralized government c
179.
by hedora 4mo ago
Even if not, the Europeans are a few more months behind. LLMs are commoditizing.
180.
by hedora 4mo ago
Honestly, banning SOTA LLM services is the best thing the US could do for AI. It’d force people to run inference locally, and that’d expose the actual $/perf of the models instead of keeping it secret then propping it up with circular

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