Those parasites at SCO made a living litigating BULLSHIT claims on licenses they "acquired" I hope this is the last of it. They should have DiaF years ago.

Porcupine Tree is a band that started out as one guy pretending to be a long-forgotten psychedelic rock band from the 1960s. He ultimately achieved enough success that it is an actual band in its own right and has been for decades. By pretending the band existed, he set up the conditions for a real band to exist instead. Kinda like Tom Scholz and Boston, except taken to the next level.

I own a house 40 minutes outside of SF in the East bay. I lived there for years and loved the area. My parents aged out and retired in Yuma. I am the care giver for both. I rent my house out and live with Ye olde folks. The politics are weird in Cali but the atmosphere is awesome and there is so much to do. Cost is insane but if you can work in that market you can live outside the SF proper. I like where I am at now, but it is 3-5 hours for any sort of culture. Phoenix is 3 hours, San Diego is 3 hours, Vegas is 4.5 hours. I am going to see Alan Parson in Sept in Phoenix, and I 'll have to stay at a hotel rather than try and drive home that night.

WTF.. garbage statement. AI will NOT change math at ALL. It will hopefully extend math comprehension by a large margin, but I seriously doubt it "changes" any of the underlying supports. Maybe AI will suddenly discover new numbers ??

Or maybe a LLM will hallucinate that such a paper exists, and then someone will Porcupine Tree it into reality.

Well Whoop-D-Dooo. NYC has 8.5 million people vs. SF at 850 K and they just FINALLY got more tech workers. NY would be one of the FEW places more expensive than SF. I can see the draw to NYC, but this seems like a hollow celebration.
  In the news NYC has more muggers than SF, and probably, maybe more homeless ?

Or...I've very personally seen and live with the resulting human destruction low life people can and will do to them selves and everyone around them. It is amazing, how you fully analyzed me from a paragraph. You must be a genius...or something. Live a while, watch the needless suffering caused by drugs and the morons who use them. If it hasn't touched you personally, be thankful and STFU about things you can't know unless you lived them.

Crank whores deserve whatever they get. Meth during pregnancy is the almost worst thing you can do. 2 decades in jail for ruining your child's life, and inflicting your forever needy child on society seems like she got off lightly.

Oil cooled with "Canola"

Simpler: one password gets you access to the account, but *not* access to (or even notification of) any encrypted volumes. Another password gives you access to (and the ability to see) all encrypted volumes. You could quite plausibly set this up just to simplify any "can I use your phone?" moments, or someone asking you to look something up (while they watch, of course). No need to grant access to your stash of busty catgirls, or whatever it is you're worried about.

It's getting to the point where it *can* be your secretary, if your needs are not particularly complex. I am using Gemma 4 for what amounts to journaling with feedback, and I have noticed that it has a decent idea when to apply Reasoning and when to just start spilling the tea—but it gets noticeably lazier about it as the context window fills up. Early in a session, it Reasons about every prompt. After 100K tokens of context, I explicitly have to ask it to use Reasoning or it generally won't (and sometimes won't even when asked).

But you're right about the other things. It's an alien, non-biological, and mostly non-aligned intelligence (and what alignment is there can be abliterated out). It has never been hungry. It has never been stared at by a larger, hungrier creature. It isn't carrying 4 billion years of biological baggage. Sometimes this causes disconnects from humans, other times it lets the machine wander down paths we're averse to exploring because they don't fit the heuristics we use to filter the data overload that reality would otherwise represent. It can recognize and even simulate emotion, but it doesn't *need* it as a cognitive crutch the way we do.

The smallest models exist specifically for running on low-spec hardware. That's what the E2B and E4B varieties of Gemma 4 are for, for example. They should pretty much run on any laptop with 16 GB of RAM, and E2B will fit on some phones. Of course I find both to be so vapid as to be toys—and not even fun toys, so I don't use them.

Moving up from "tiny" to "small", Gemma 4 12B is... alright I guess. 26B-A4B can almost pass for intelligent if Reasoning is set to Medium effort (and there's no point in going higher that I have seen). The only models I actually find adequate as anything more than a stochastic parrot start at the level of 27B dense models like Qwen 3.6, and Gemma 4 31B. There is some sort of "phase change" that occurs between 12B and 27B that makes them useful. 12B may understand, but then it's too tapped out to say anything constructive. The MoE model (26B-A4B) is kinda straddling the line. Sometimes it has enough grunt to come up with something insightful, although often it too taps out just trying to parse what I say. The best it ever gets is about equal to 31B with Reasoning turned off, and Reasoning helps quite a lot. It's pretty obvious to me now when 31B gets lazy and skips the Reasoning step.

It's similarly helpful with any cryptic error message. LLMs, even small ones, are surprisingly good at understanding their own inner workings. Even Gemma 4 26B-A4B (which is not the smartest) has helped me a whole lot. Even if it's only right half the time (and it's somewhat better than that), it doesn't take very long to validate its ideas—and when it's right, you win.

There are plenty of fine-tuned open models on Hugging Face. Many of those fine tunes are *specifically* geared for creative writing, and/or role playing. If you need deeper intellect, you can always take the Corporatespeak output of a large commercial model and ask your local model to make it sound less robotic while retaining the factual accuracy. The smaller models just generally take it for granted that anything they're told that falls outside their expertise must be true, and will happily rehash all the facts they are fed. In other words, the answer is "more cowbell", just a *different* (and smaller) cowbell for the second run.