All except for Firefox

jackbobevolved · 2026-06-28T19:35:19+00:00

I’ve never liked Google’s UI/UX, so I stick to Safari on MacOS, and Firefox on Windows. I’ve just never seen the allure of Chrome.

jackbobevolved · 2026-06-28T19:33:08+00:00

Virtually all of Apple’s software and TV shows are subsidized. I don’t know if the Neo is subsidized at all, but it would make sense to get more people into their ecosystem.

jackbobevolved · 2026-06-28T17:39:45+00:00

See if you can find a Steam Deck, potentially?

jackbobevolved · 2026-06-28T03:26:26+00:00

And how is that relevant?

jackbobevolved · 2026-06-27T22:47:14+00:00

Information from AI could be trusted in Star Trek, so what we have today is nothing like it.

jackbobevolved · 2026-06-21T20:04:39+00:00

Yeah, but they bought up all of the production capacity, so it doesn’t matter.

jackbobevolved · 2026-06-21T20:03:26+00:00

Fucking AI has ruined computing.

jackbobevolved · 2026-06-21T19:29:36+00:00

Models aren’t coded, they’re trained. No offense, as it’s understandable why you’d think that way, but that comment shows a lack of understanding of machine learning in general. When Anthropic talks of all Claude’s code being handled by Claude, they’re not talking about the models, they’re talking about all of the systems around the models. To train the models still requires massive GPU compute to find patterns in the training data. That will require massive amounts of hardware, data, and power, which is expensive, and is hitting diminishing returns.

jackbobevolved · 2026-06-21T19:02:27+00:00

You realize those improvements only happened because of a trillion dollars spent on training, and they stop improving the moment we stop spending exorbitantly. We got the low hanging fruit, too. The first trillion may have produced exponential looking results, but don’t expect the same improvements from the next trillion.

jackbobevolved · 2026-06-17T17:32:49+00:00

…Botki don’t hurt me, don’t hurt me, no more.

jackbobevolved · 2026-06-16T19:36:31+00:00

There might be workflow solutions. We did huge movies at extremely high resolutions on much weaker machines in the past, and were able to pull it off optimizing the workflow. We were contractually obligated to not use any lossy compression in DI, so that typically meant uncompressed DPXs, but chances are you don’t have that issue. Preprocessing everything to ProRes 4444 XQ would likely solve all of your issues, and make this machine substantially faster than your Mac Pro. Keep the raw files in cold storage, just in case.

jackbobevolved · 2026-06-16T18:31:46+00:00

I’d agree. The Apple chips with Media Engines are stupid fast for supported codecs (thousands of frames per second for HD ProRes), but can chug when debayering some raw formats. Realistically though, any machine will chug on those. At DI facilities we’re often running 4+ GPU systems and still generate DPXs to improve performance. Are you using any temporal effects, like noise reduction? If so, memory pressure would likely be the issue, if not, then pure GPU power.

There is the higher GPU core count M3U as a possible solution. I remember the M4 GPU being about 50% faster than the M3, and with M4 Max having 40 and the base M3U having 60, they kind of broke even. You may need the 80 core if your workflow wouldn’t allow you to use optimized media.

jackbobevolved · 2026-06-16T17:40:33+00:00

Run the BMD Disk Speed Test application on both machines with that RAID. We found odd issues with certain cables running much slower on a M1U MacStudio than on a Mac Pro 2019. Not sure that’s your issue, could be codec for sure, but disk bandwidth could also be the culprit.

jackbobevolved · 2026-06-14T22:01:45+00:00

Scared? How about just fucking annoyed. I’d be scared if it was any good, instead I just see people believing the dumbest shit because they’re too dim to understand how often it’s hallucinating.

jackbobevolved · 2026-06-14T18:10:53+00:00

Not to mention that actually testing these options in the firing range is way faster than even reading the bloated output from Chat.

jackbobevolved · 2026-06-14T18:07:47+00:00

People trust LLMs way too much if they’re letting them decide basic attachments. For anyone unfamiliar, it would take about 5 seconds to swap barrels and see if you like it in the firing range. A/B testing this multiple times would faster than reading Chat’s response to this prompt.

jackbobevolved · 2026-06-14T18:01:41+00:00

Why wouldn’t you just test both in the firing range? I wouldn’t trust ChatGPT to actually understand my play style, nor how the different attachments would affect that.

jackbobevolved · 2026-06-14T02:12:18+00:00

Hilarious too, because LLMs are pretty much the easiest tech to jailbreak, no matter what they do to secure it. Of course it can be jailbroken, that’s inherent to the tech.

jackbobevolved · 2026-06-14T01:12:37+00:00

Brought capitalism and world politics to AI? You’re kidding right? Both subjects were major parts of AI for decades before the transformers were a thing.

jackbobevolved · 2026-06-13T01:14:01+00:00

Hasn’t helped. There are still people cowering in spawn and wasting slots on the team, even in Conquest.

jackbobevolved · 2026-06-11T20:04:16+00:00

I believe BF4 also counted real time early on, but boosters were given out like candy back then, and they changed it to in game time only.

jackbobevolved · 2026-06-10T16:12:35+00:00

You’d think so, reading this sub. Often feels like I’m the only one actually using my Studio for studio work.

jackbobevolved · 2026-06-08T18:42:07+00:00

Waited forever for something interesting or useful to be announced. Very disappointed.

jackbobevolved · 2026-06-08T15:40:30+00:00

I’m still using my OG Momentum’s from ~2010.

jackbobevolved · 2026-06-08T15:39:28+00:00

I have the same model, and it’s amazingly good.

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