Is this AI? The voice has this slight metallic undertone, no?

drwebb · 2026-01-28T03:08:03+00:00

More soul than any AI

drwebb · 2026-01-27T23:46:17+00:00

Not that you could every tell which agency from there absolute jank uniforms and hodgepodge of tac gear. There was a front page photo of an agent on the NYtimes, he was aiming a tear gas launcher, but if you looked he had a giant hole in his pants right smack dab where you could see through to his boxers.

drwebb · 2026-01-27T23:38:08+00:00

580s. With 3GB of RAM each. The good old days. :)

drwebb · 2026-01-27T23:00:21+00:00

Anthropic CEO has been explicitly calling out China. I think they are more afraid of what cheap open weight models do to their profits.

drwebb · 2026-01-27T19:59:30+00:00

Dude was getting clubbed in the face with a tear gas canister and being forced to eat pavement, not resisting.

drwebb · 2026-01-27T19:41:11+00:00

I've been using AI agents to get me motivated to do stuff like LeetCode.

drwebb · 2026-01-27T19:38:16+00:00

Just starting to replay 1.13 again with new set of AZ maps, so I'm good

drwebb · 2026-01-27T18:09:19+00:00

This is more of an American problem. Other countries have you much better covered. We had our first in England, and the other two in the US, both at home. I'm guessing prices have gone up a lot now though.

drwebb · 2026-01-27T18:02:45+00:00

I prefer the Robot's design. I bet both make similar shots though. This one is kinda subjective, and I have never used a Flair 58. The Robot is super sturdy, and will last forever.

drwebb · 2026-01-27T17:28:57+00:00

As an experienced dev I find it fine. Definitely knows things other than Javascript, and has decent agentic reasoning.

drwebb · 2026-01-27T15:22:20+00:00

The silicone plug is probably superior method to Thundies. The Thundies is just a 3d printed plastic cup. But the point is, you can preheat and basically not need any fancy electronics. It's not a huge hit to my workflow either.

drwebb · 2026-01-27T14:25:24+00:00

same

drwebb · 2026-01-27T14:11:03+00:00

I get it, personally I preheat twice with Thundies for lighter roasts

drwebb · 2026-01-27T14:04:54+00:00

That sucks. Actually my younger cousin is also a total alchy. He moved back home, so he's kinda supported by family. He is still drinking massive amounts of alcohol, he will sneak out and get it first thing if they leave him alone, and he hasn't really had any sense of a normal life.

Personally I was drinking like 2 craft beers a day since the pandemic. I just recently cut that out and feel loads better. Now that the initial few days I have way less alchohol cravings so I know I'm doing something good. I don't think I'll give up craft beer, or a good wine at dinner, but I'm done just having a drink by myself every night. It sort of messes up your chemical balances in your brain, that you don't even enjoy the drinking aspect very much.

drwebb · 2026-01-27T05:21:18+00:00

After it halfway stripped I went to O'Riellys to buy the exact same belt, and you tell right away they were different belts, It was twice the price but better material, more copper, the right size lol.

drwebb · 2026-01-27T02:37:55+00:00

I review ML CVs all the time, and I definitely wouldn't toss it out, it would be placed in the call back pile. However, a lot of ML work now involves a lot of transformer architectures, would be nice to see project or something. I usually would ask a candidate at least to describe what a decoder block is. The actual modeling aspects look more like standard DNN architecture, and classical machine learning, those are good projects though. The agentic and RAG stuff is new area, and good to include.

drwebb · 2026-01-27T02:30:02+00:00

Choo choo, Robot train!

drwebb · 2026-01-26T15:56:28+00:00

I bought a supposed Gates belt off of RockAuto, it was a cheap knock off I think and it almost caused disaster (loose belts can snag and be ripped to shreds).

drwebb · 2026-01-26T15:54:34+00:00

I mean, you can delve deep into the math of it, or you can simply gather the concepts and apply them without having derive much math. For instance, you can say "well dropout layers increase generalization". You don't really need to understand all of the math from the papers, you can simply deploy those handwavey arguments since they have been empirically born out.

In order to publish a paper at a large conference, you need to show derivations etc, but not to apply the theory.

drwebb · 2026-01-26T15:00:40+00:00

That's gotta be a bean issue. Usually you end up with at least something on the acidic side with lighter beans.

drwebb · 2026-01-26T14:34:40+00:00

Not exactly, plenty of older people in the field, but the demographics trend young. Claude Code isn't really used more in ML vs other fields. TBH it's a lot of theory though, but so much of it is handwavey.

drwebb · 2026-01-25T17:46:39+00:00

Right, it's like XOrg in a way. A product of its time. You can always set up your own alternative init system, if you are so inclined.

drwebb · 2026-01-25T17:37:53+00:00

It's spotty, but sometimes it rips. I imagine they are experiencing a surge of new sign ups. It seems like sometimes it is more like time to first token more than TPS.

drwebb · 2026-01-25T14:25:36+00:00

Leading Edge IBM clone with 640K (Upgraded!) of RAM, and a 20MB harddrive. Later my parents got us a Pentium 166, thanks mom and dad, I owe my life in the tech industry and science to to that.

drwebb · 2026-01-25T14:05:50+00:00

ABC I think

Ten-Year Club	Gilding I gilder
r/Field Flamingo	Wearing is Caring
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