searealist

There are good reasons they have all converged on this model:

- The models can generate html/js as output instead of markdown. They all support something like "artifacts" that can displayed in the transcript or a tabbed panel.

- Many of them are able to have the model generate plugins to customize the harness. Typescript/V8 is really good for this.

- They all allow you to open web pages in a tabbed panel. Sure, you can do this with native be embedding a web browser, but with the previous points, you have to wonder if you should just use Electron / Tauri.

I dunno. Windows 98 is very usable. What does Gnome 3 have that someone who never used Windows 98 would miss?

What other desktop environment doesn't have a dock or taskbar?

Age has nothing to do with it. Gnome 3 is just bad.

You can configure KDE Plasma to be nearly identical to Gnome 2 / Mate.

It's great.

Unlike modern Gnome, KDE Plasma is _really_ good. In fact, you can configure it to almost perfectly mirror Gnome 2.

That being said, this is really cool, and brings back a lot of memories.

On the one hand, you have a meta-analysis estimating 7–28% of the U.S. homicide decline, depending on the model, after correcting for publication bias. That’s 4–15 percentage points of a 54% decline.[1]

On the other hand, you have the Dunedin study, where lead exposure was uncorrelated with measured socioeconomic status, which found weak links with offending overall and no significant link to violent crime.[2]

In any case, people talk about this like lead was the dominant factor in the violent crime decline, when these results don’t establish that. Even the meta-analysis leaves most of the homicide decline unexplained by lead.

[1] https://eprints.gla.ac.uk/332830/1/332830.pdf

[2] https://jamanetwork.com/journals/jamapediatrics/fullarticle/...

I thought we were pretending it was lead?

How does this relate to 4500 vs 5090? I'm just pointing out that 5090 likely has twice the performance of the 4500 and likely maintains that at 2x watts if you want.

A 5090 has 2x tensor cores and 2x bandwidth and can be run at 400W (2x watts).

... or with llama.cpp with MTP.

It depends who is president.

2x is more typical, and only for dense models, not the sparse models all frontier labs use.

Also, even the best speakers in the world can benefit from room correction, because every room behaves differently. The difference is HUGE in the lower frequencies.

Don't forget about electricity costs, esp in California. Even with free hardware you may be better off using APIs.

Aaron had a history of depression and suicidal ideation that long predates his prosecution.

Also: https://www.unqualified-reservations.org/2013/01/noam-chomsk...

Swartz was federally charged with wire fraud and violations of the Computer Fraud and Abuse Act based on allegedly unauthorized access, not simply prosecuted for copyright infringement or “downloading articles.” Also, he was offered a plea deal of 6 months and his own attorneys did not expect him to serve any time even if rejecting the plea deal and convicted.

Meta is accused of civil copyright infringement.

Very different things.

> In my experience MTP's speed increase doesn't seem to justify the apparent loss of success at the edge, it would have to be at least 4x faster to meaningfully churn through the first 3 failures in the time it would have taken to do it once without

Speaking in terms of wall clock, the expensive part of decode is fetching the weights from memory. Predicting and validating a bunch of tokens using the already fetched weights is insignificant in comparison. Even if you have a poor acceptance rate for predictions, you won't really see a slowdown vs not using MTP.

Just enable MTP on llama.cpp and you will get the same decode speeds.

If you are not already using MTP, you should be able to get ~2x decode tokens/s with Qwen 3.8 27B.

I expect Pi is mostly used with OpenAI plans, and OpenAI has a dedicated compaction endpoint you should probably be using with their models instead of a compaction prompt.

Sous vide is fool proof, you cant mess it up. All you have to worry about is the sear, and that's easy too.

The internet loves using 137 for Ribeyes for the reason you said. I've had good luck going with 135 for ~4 hours.

What this article wants you to believe:

Police are actively using flock to identify people traveling over state borders to buy marijuana and search their cars.

What actually happened:

Police used flock to locate someone with an active warrant for their arrest related to domestic violence. They noticed a pattern of crossing state lines at certain times, and used that to nab him. It turns out it was to buy marijuana and his car reeked of it, so he was charged with that, too.

I read that Anglo as in Anglo-Saxon, and I was confused why they would throw that in a article.

It turns out Anglo is a diamond company.

NEM 3.0 is more fair. The grid is expensive and just as expensive if it is needed to be fully utilized 1% of the time or 100% of the time.

The problem is California forcing new construction to buy overpriced solar from builders that makes little sense compared to commercial solar installations + grid.

There is a real tradeoff:

- The musl allocator is only slow with multi-threading.

- Almost all other allocators have trouble reclaiming memory when using multi-threading. This often results in multiples more RSS than single threaded or musl's allocator.

Agree with you on mimalloc. It can even be configured to be aggressive in memory reclaim at the cost of performance.

Because it's probably still more expensive in electricity costs compared to openrouter. Certainly it's not 98% cheaper.

My answer doesn't change if it is M5s. Where is the math showing a 98% discount over K3 on openrouter. Heck, where is the math showing it is any % cheaper? How much electricity will your M5 sip to hit 1M input and 1M output tokens that would cost $3 + $15 there? I bet it is more expensive on the Mac.

I'm not aware of any service that gives you a 98% discount and is served off of M1s. Did you do the math for what this would cost vs K3 on openrouter?

No one will ever derive any utility from running models at this speed. Please prove me wrong. Give me the number of tokens input and output (and dont forget about reasoning) and acceptable time to wait for it and the use case.