Hugsun

I'm curious if someone has started cataloging these cases. These spying TVs seem like a common industry practice.

Almost all of this was written by an LLM. No human writes like this.

They can do what they want. That "should" doesn't belong here.

The expectation is of course that that will not be required. Competent models will become smaller and the compute to run them will become cheaper, once the market stabilizes. That will take some time of course.

Sound critique. I'll add that the Artificial Analysis intelligence index is not considered a good metric for intelligence anymore. Most of the benchmarks that it comprises are saturated or considered low signal today.

Nice claudish! It's crazy how obviously human made this comment is, despite the superficial similarities to Claude. It truly has a distinct style.

Interesting! My impression was that this was an artifact of RLVR where this slightly preferred writing style got amplified to the nth degree. It's probably some mix.

Docker containers use Linux kernel features to create an isolated environment, running on the same machine as docker is. This creates a virtual machine, with its own kernel, and runs the container in there. This gives stronger isolation and security guarantees.

That can only be true if the workload is compute bound, not memory bandwidth bound.

Iceland has mostly been governed by the center right conservative independence party, which has been quick to sell land and resources to anyone interested. Kárahnjúkar is the canonical example of this, a huge hydro plant powering aluminium smelters owned by a foreign company.

Right now, different parties have the majority rule, and their interest in projects like these are not clear. I would suspect that a motivated investor could fairly easily get them built. The hurdles would be logistics and connectivity much more than red tape.

Iceland is culturally and politically scandinavian with some influence from the US. In august there will be a vote to start accession talks with the EU. This has been a heavily contested issue for years, largely due to Iceland's unique resources.

Is there anything of value in this project?

It sounds interesting at a glance, but it seems to be AI slop. So it's hard to tell if there are any interesting discoveries there, or just some worthless results described with performatively advanced language.

Have you tried Qwen 3.6 or Gemma 4? They're not frontier level but certainly have their uses.

Note that your monitor is a QD-OLED, not a QLED monitor.

Despite the similar names, these are two very different technologies. QD-OLED is a OLED panel that uses QD (quantum dots) to achieve a wide color gamut. QLED is a LED backlit LCD panel that uses QD in a similar way.

The difference in performance characteristics of these two panel types is dominated by the difference between OLED and LCD.

That HN agent review is pretty usable. Very cool!

It is unbelievable that this is a controversial opinion.

That seems like a decently sized market. Maybe not for an AI lab though.

Two things can be true at once.

The whole post and that paragraph in particular sound AI generated, that triple "No" is a big tell. I'd not be surprised if that confirmation complaint is just a random suggestion proposed by the AI that wrote this.

They're comparing Qwen's moe vs dense (smaller difference) against Gemma's moe vs dense (bigger difference). Your proposed alternative misses the point.

Unfortunately, llama.cpp quantization technology has been stagnant for two years. The main quantization developer left or was kicked out of llama.cpp due to an attribution dispute. He created his own fork ik_llama.cpp where he has made multiple new and better quants.

unsloth and byteshape are just using and highlighting features that have been available the whole time. I am very invested in figuring out a solution to this dispute, or some way to get the new quants upstreamed.

LLMs produce a distribution of token probabilities which is then sampled. This sampling is the only random part of the system.

If you just take the most probable token every time, the system becomes fully deterministic. We don't do this as the output becomes more stiff and less creative.

SCOTUS is indeed compromised.

I heard from a medium reliable source that this loophole wasn't as popular as the zeitgeist implies. I'd love to know how true that is and if so, how the rich finance themselves.

I listened to a few episodes on a recommendation. The episodes lead you to believe that the host is some agnostic person that's just curious about these reports. They are not as the original lead is from another superstition believer podcast.

They also present the cameraman as a token skeptic, who is of course quickly swayed into belief.

They lean heavily on a host of tricks with long histories of non-reproduction when tested rigorously.

A "scientist" (known crackpot and woo believer) is employed to make the experiments sound. And their terrible academic reputation was explained away using conspiratorial arguments.

I found TT wholly unconvincing and consider it a scam to get people to pay for the actual evidence. I won't pay of course and confidently assume it to be poor based on the publicly available material.

I've found GPT-5 Thinking to perform worse than o3 did in tasks of a similar nature. It makes more bad assumptions that de-rail the train of thought.

The version of llama.cpp that Llamafile uses supports structured outputs. Don't waste your time with bloat like langchain.

Think about why langchain has dozens of adapters that are all targeting services that describe themselves as OAI compatible, Llamafile included.

I'd bet you could point some of them at Llamafile and get structured outputs.

Note that they can be made 100% reliable when done properly. They're not done properly in this article.

I gave up after it didn't let me see the prompt that went into the LLM, without using their proprietary service. I'd recommend just using the API directly. They're very simple. There might be some simpler wrapper library if you want all the providers and can't be bothered to implement the support for each. Vercel's ai-sdk seems decent for JS.

I was under the impression that this is not the case. Aspartame has been studied a lot and not found to be harmful.

I discovered that this is very common when posting a long article about LLM reasoning. Half the comments spoke of the exact things in the article as if they were original ideas.

I was very pleased to discover that Mistral's Le Chat has inbuilt support for python code execution and sympy is importable.

It will regularly use it and reliably when asked to.