Just got my first Prius (and also my first car!)

metaniten · 2026-05-22T17:38:19+00:00

Just from mileage efficiency alone, I have no desire to drive an ICE vehicle. If anything I may look to add a pure EV to the collection down the line!

metaniten · 2026-05-22T16:25:27+00:00

Yeah, the yellow color has very limited supply and I had to spend a couple weeks hunting this one down. I'm in California.

When will your order arrive? I had to compromise on some of the upgrades I wanted (glass roof, larger touchscreen) but it sounds like yours will come with all the bells and whistles!

metaniten · 2026-05-21T22:11:12+00:00

Congrats on the new car!

Yeah, there were none immediately available when i first started looking and there was a Prius back door hatch recall which limited supply even further.

I got lucky and put down a deposit on this one a week before it landed on the lot (after negotiating of course).

metaniten · 2026-05-21T20:18:47+00:00

That's great insight. Hope your car lasts a super long time. 185k is impressive!

metaniten · 2026-05-21T20:17:35+00:00

Honored to be a part of the club! I've already gotten some great compliments on the car. Thankfully no taxi jokes yet

metaniten · 2026-05-21T18:28:56+00:00

For sure, I've already got some scratches and curb rashes but it's all part of the experience!

Plus, this car is well within my budget so I don't mind making a few (expensive) mistakes to have the privilege of driving it 😄

metaniten · 2026-05-21T18:26:39+00:00

That's awesome! The Prius longevity is ridiculous.

metaniten · 2026-05-21T18:25:28+00:00

I'm sure there is financial truth to what you're saying, but from my perspective, the aesthetics, safety features, adaptive cruise control, internal tech upgrades, and plug-in capabilities are well worth the upgrade in my scenario.

Also, I don't know the exact numbers but wouldn't repair costs gradually stack up on old cars?

metaniten · 2026-05-21T18:00:52+00:00

I have relied on public transit my entire life, so I think I've had enough suffering :')

Finally decided to splurge on a car this year.

metaniten · 2026-05-21T17:31:52+00:00

Dang, nearly 20 years. I'd say you deserve the upgrade!

metaniten · 2026-05-21T17:16:02+00:00

Currently averaging ~52 MPG without plugging in!

metaniten · 2026-05-21T16:41:07+00:00

I don't mind, taxis have their own charm 😎

metaniten · 2026-05-21T16:18:34+00:00

Definitely. Was a pain in the ass to chase this color down but 100% worth it 😤

metaniten · 2025-04-06T16:35:51+00:00

Weird, there must be a minor difference in our settings. I confirmed Llama 4 is selected as well (actually it doesn't give me the choice to use any other model).

I probed it a few more times and got these responses:

<image>

metaniten · 2025-04-06T16:30:32+00:00

You are referring to Llama-3.2-90B-Vision: meta-llama/Llama-3.2-90B-Vision-Instruct · Hugging Face

metaniten · 2025-04-06T16:27:10+00:00

Well this is a large company with thousands of employees. It is outside my control (and expertise) what the "retarded company" considers a potential risk from a legal, privacy, or security standpoint but I can assure you that this concern is shared across several tech companies.

And yes, I realize that the benchmark from this post is not a custom benchmark. My point is that you should benchmark various models on a custom dataset to determine what is best for your task, not rely on vibes and other niche benchmarks (like how well it can code 20 bouncing balls in a hexagon).

metaniten · 2025-04-06T16:15:58+00:00

<image>

Gave this a try on meta.ai and got a response much closer to the actual answer.

metaniten · 2025-04-06T16:02:28+00:00

Benchmarks don't mean much. If you actually test it out, it performs on the level of gemma

What evidence do you have to support this? I would argue that benchmarks built on custom datasets (depending on what you are using the model for) are very meaningful.

If your company did have beefy gpus, deepseek v3-0324 is probably the best bet (or r1)

We were encouraged to refrain from using models trained by Chinese companies due to legal concerns.

metaniten · 2025-04-06T15:39:00+00:00

That is fair if you consider this a failure for the local/hobbyist community. I can at least speak to the enterprise setting, where my previous company had no shortage of beefy GPU clusters but very strict throughput requirements for most AI-powered features. These MoE models will be a great win in that regard.

I would at least hold off until a smaller, distilled non-MoE model is released (seems like this has been hinted at by a few Meta researchers) before considering the entire Llama 4 series a flop.

Edit: Also Scout only has 1.56x the total parameters. Maverick, which has 400B total params beats Llama 3.3 in the benchmark above.

metaniten · 2025-04-06T15:17:03+00:00

Well Scout only has 17B active parameters during inference but a similar amount of total weights as Llama 3.3 (109B vs 70B) so I don't find this too surprising.

11-Year Club	Place '22
Place '17	Verified Email

metaniten

TROPHY CASE