gruturo

> It isn't generally a problem to hoard unused room. It is a problem to hoard unused room in an environment where room is scarce

So... San Francisco?

You, madam, sir or other, win the thread today. Chapeau.

By the same line of thinking, his SF home has 6 bedrooms, it would be more efficient to transform it in a community housing, why is he hoarding all the bedrooms? He can't even physically be in more than one at a time.

And that's just one of 3 he owns in SF alone. Also he has 2 kidneys and 2 lungs, while he could get by with just 1 of each, and there are people badly needing them.

I will renounce my hardware when he renounces all homes and bedrooms. Until then he's a hypocrite.

Quite a few core people in Raspberry Pi are ex- (or even current) Broadcom engineers, that's what they're familiar with.

You may want to reconsider your choice as I was just blocked from a residential IP in Germany, Firefox on Linux.

Yes LLMs fail and fail often. I use a council of 3 for my health related conversations. They have recommended stuff which proved useless, I even wasted a little money in supplements which later iterations of the same LLM explained are not useful at all. I failed to explain to the LLM that some of what I was taking (baby aspirins) was not a doctor's prescription but my own initiatives, so it didn't dissuade me from continuing them until it came up much later - something my own doctor also agreed should be dropped - she had also assumed it was something I had been prescribed in the past!

Regarding Gell-Mann amnesia, I literally mention it in a separate post in this same thread :)

And I'm sorry if your experience is that most medical professionals would react like that. This isn't absolutely the case for me. I show up with things printed out, don't come across as a lunatic who googled a symptom and just wants to be agreed with, and I explain that my LLM research is so I ask fewer stupid questions in the limited time the doc has for me.

Two things can be true at the same time. And whataboutism isn't changing any of that.

>Why do we expect that for other professions it works differently?

Gell-Mann amnesia most likely applies here.

This, 100%, and I'll add (apologies in advance for bringing AI into this): In an era of extremely accessible and competent language models, you have no excuse not to use one to verify your doctor's (or any hired professional's) work. AI won't replace a professional but can spot mistakes, suggest solutions, educate you on a topic, and, most importantly!, has all the time in the world for you, something your doctor doesn't.

Case in point - just last month: To bring my LDL further down, I was prescribed a doubling of my existing statin dosage. I checked with an LLM and it turns out it's a crap idea, as doubling only weakly increases the effect, while the unwanted impacts on the body increase. Supplementing the existing dosage with bempedoic acid or Ezetimbe would be a way better strategy. I brought this up with the doctor, who immediately agreed it's a better idea and changed my prescription.

It's your body, your health, your future, your loved ones, your home, your career, your investment, your savings. If you care, check the work, the tools exist and are now ridiculously accessible.

I really dislike that term. It's stupid and supports a distorted narrative.

They arbitrarily decide 1M API tokens cost X, and any subscription where usage costs less than that is "subsidized". No it isn't. They may be profiting on subscriptions as well, or losing on full API costs as well, or anything in between, and that X is anyway more reflective of competition than their costs. For all we know they did a rand()%1000 to determine it in the first place.

Honestly it may just be that lots of people - especially those with deep pockets - are going to buy the Duo instead. Not a mention in the article, maybe someone is short on Apple and could use a dip, so conveniently forgets a logical explanation.

Very cool!! Thanks, appreciated!

It's frankly pointless. Pretty much nothing produces them natively, so it's usually a generation loss from JPEG, not enough compression gains without annoyingly visible loss of quality, still has format many format and functional limits so it solved nobody's problem at any time, pretty much.

And much (though not all) of its improved compression (before it damages the image too badly) was anyway matched by the better JPEG encoders which were released and improved over time. It sure benched very well against a 30+ year old JPEG encoder implementation though.

JXL has a pixel-accurate JPEG-input mode with no generation loss which already beats WebP, a native mode which is way way better even, it addresses many more use cases and is not Google's pet project (saying this while thanking them for all the foundational work from which modern image/video codecs benefit - JXL itself first and foremost!) so it DOES have better than a snowball's chance in hell of becoming the defacto standard of the next 10-30 years and we'll soon see it in silicon.

Seconding this. Flash-next (and let's not forget, it's a PREVIEW of the 4 architecture - with the "real" 4 rumored coming later this month) is the first model I can run on reasonable hardware (2 thoroughly obsolete P100s off ebay at ~$100 each plus the RAM I could scavenge from other PCs at home) at a reasonable speed (22, with GPUs in layer-split due to llama-cpp's limitation on qwen4-exp arch, and no MTP. Strata could double these numbers).

It's.... the real thing, for the first time. If you cut me off cloud models today, I would get plenty of utility out of this thing.

(Others may have had the same feeling from GLM5.3 or Deepseek 4.1 flash but I never had a chance of running those.)

While this is generally true, it's _a little_ less true the larger the model is.

Also, quantization techniques have improved - the I in IQ3 stands for imatrix - Importance Matrix - it is a bit more surgical in what it cuts. The result is a model where the most important weights are even Q6 or above, the least important Q2 or even below, overall it takes the space of a Q3 but with better results.