Earlier quoted context omitted.
I pasted and instantly hit enter on this prompt: "I generated a filter set using REW v5.31.3 using real-world sweep tone measurements from the room I'm listening in . How can I use it as my MacOS output equalizer so that my spotify music is adjusted for this room and speakers" and it gave a very reasonable answer in non-perceptible time.
idk if you're still actually looking for a solution (I got nerdsniped heh), but I found a seamless way to have it locked into the speakers + room, instead of a specific source/software, is using an iLoud subwoofer that routes to any speaker setup and has room correction + EQ that lives on the sub.
Advancing the price-performance frontier with GPT‑5.6
391–400 of 424 posts
Re: Advancing the price-performance frontier with GPT‑5.6
#392Earlier quoted context omitted.
I pasted and instantly hit enter on this prompt: "I generated a filter set using REW v5.31.3 using real-world sweep tone measurements from the room I'm listening in . How can I use it as my MacOS output equalizer so that my spotify music is adjusted for this room and speakers" and it gave a very reasonable answer in non-perceptible time.
idk if you're still actually looking for a solution (I got nerdsniped heh), but I found a seamless way to have it locked into the speakers + room, instead of a specific source/software, is using an iLoud subwoofer that routes to any speaker setup and has room correction + EQ that lives on the sub.
Re: Advancing the price-performance frontier with GPT‑5.6
#393Earlier quoted context omitted.
As well as the existing intelligence being swayed by emotions, hormones, circadian rhythms, stress, peer pressure, propaganda, and survival instincts.
As if ALL OF THAT doesn't represent inherent and crucial elements of judgement, and therefore"intelligence" itself. We are not purely rational creatures, thank God. Sometimes those "limiting factors" you listed -- stress, peer pressure, hormones -- are crucial elements of informing the problem solving process and arriving at a decision or a solution that actually works. All an LLM can do is fulfill a prompt, no matte…
Re: Advancing the price-performance frontier with GPT‑5.6
#394Earlier quoted context omitted.
> This is a bad comparison. How so? First, kernel writing (or ML engineering more broadly) is a highly specialised task. Not everyone can do it. It shows that models are getting better and better at (easily verifiable) hard tasks. And you can "hire" that expertise much easier than you can hire the equivalent meatbags. And more importantly you can "fire" them as soon as the task is done. And then hire them 3 months la…
> How so? Without looking at the specific changes made, it is impossible to know whether this represents a real capability improvement. For example, maybe the 20% gain was due to a very obvious/easy to catch inefficiency while the 1% improvement was due to something subtle.
Re: Advancing the price-performance frontier with GPT‑5.6
#395Earlier quoted context omitted.
Per Artificial Analysis: - Haiku: 30 points - Luna Medium/High/Xhigh/Max: 38/46/49/51 points That's a massive difference: - 30 points is Gemma 4 31B territory - 50 points is GLM-5.2 (744B) territory.
Could OpenAI be running a different model for high + max ?
Re: Advancing the price-performance frontier with GPT‑5.6
#396GPT-5.6 Luna xhigh/max from Codex is my daily driver now. Good economics, good performance. It sits in the most attractive quadrant on the Intelligence Index.
any particular reason not using terra or sol, given the generous limit quotas and frequent codex resets?
Re: Advancing the price-performance frontier with GPT‑5.6
#397Friendly reminder that GPT-5.6 in Codex cannot spawn Luna subagents, only Terra [1] To fix this you currently need to make your own copy of the bundled model catalog [2] and opt Luna into MultiAgent V2. 1. https://github.com/openai/codex/issues/32031 2. https://github.com/openai/codex/issues/32031#issuecomment-51...
Re: Advancing the price-performance frontier with GPT‑5.6
#398might as well rethink about their pricing on gpt-realtime. for a quick test, spoke to that model for ~5 minutes, ended up spending near $1.
Re: Advancing the price-performance frontier with GPT‑5.6
#399Tried Luna on a bunch of pdf extraction tasks with data tables. Seems to consistently miss table rows a lot.
Re: Advancing the price-performance frontier with GPT‑5.6
#400I think that with this change, DeepSeek v4 Flash has finally been dethroned.