AustinDev

Let's say your company makes holes. The year is 2026 so you use excavators because they are good at digging holes quickly. Would you hire a guy who refuses to use an excavator but will happily use a shovel?

AI explainer videos are actually pretty good. Good usage.

Yep, just benchmarked it against GLM5.3 Flash on my own local bench and it's slower in TTFT, tok/s and concurrency. It also scored lower.

Tried different reasoning levels and didn't really see any difference but GLM 5.3 flash only really works high, max or none so I couldn't really compare the lower efforts which appear to work on Spark.

I lived through it. I've listened to the podcast. 2026 is not 2021 or 2022. Since about 2022 or maybe 2023 I have never received a single ERCOT warning message text. Before then they were pretty common.

I'm saying it was a problem, it's been addressed. We had one of our hottest Augusts on record this year without a single issue.

If you think it's structurally broken there are energies futures markets you could use to make a lot of money on.

From what I can tell a bunch of batteries, solar and wind came online since then not sure if the govt was involved or not.

The power has been great since the freeze. Market forces fixed the problems. People were making $9,000/kwh at times. That's never going to happen again.

And for that same reason people knit their own scarves but they don't expect the scarf they see at the store to be hand knit.

>You can already performantly run frontier level models on systems with $1600 tier video cards.

Quanted out Qwen 3.8 models are not frontier level. Have you used them for real work? They suck. They are so unsure of themselves due to the quant-lobotomy. They just endlessly loop in thinking even when they have the right decision and then output it when they get to the thinking cap. They score close in benchmarks because most benchmarks don't measure time to complete a task.

I use Qwen quants in production for fast inference but I disable thinking and have them fine tuned for the task. My realtime transcription + translation stack right now is running 5 streams at 380 tok/s.

Running DeepSeek 4.1 Flash at FP4 is going to need at least a 10-15k machine. I'd consider that near frontier level.

What are you even talking about?

What is the purpose of a nation if not to benefit its own Citizens. If it doesn't do that in good times then why would anyone fight when called upon?

I don't follow? Why would a US citizen want to compete against 8B people for jobs instead of just 300M? Seems like the lower number is better for the citizens of the US.

encode and decode tok/s which is ($/s) when it comes to pricing drops heavily above 100k tokens.

There are plenty of workflows like translations where you'd easily be under the cap.

This makes sense when you realize most ICE car makers get a substantial portion of their revenue from maintenance and replacement parts.

Fair enough. Cheers