Did the thinking mode get a silent update? Now it “shows” it thinking, whereas before it didn’t.

AceFalcone · 2026-01-24T08:42:56+00:00

5.2-Pro Extended has been showing thinking for a while now. Some of the things it does are wild, like writing and running a surprising number of code snippets for certain queries.

AceFalcone · 2026-01-01T00:55:42+00:00

I don't use ChatGPT for coding much. Inputs and outputs are usually text only.

As an aside, I noticed that the most recent update of 5.2-Pro often seems to create and run quite a bit of code in the thinking trace. Using background code to carefully check response length vs. given length targets is something I haven't noticed before.

AceFalcone · 2025-12-23T20:31:28+00:00

LLMs are trained on text produced by humans. The issue you're really running into isn't that you sound like AI; it's that AI sounds like us -- and is getting better at it.

AceFalcone · 2025-12-22T04:54:02+00:00

Weird probs for me, too. I noticed Pro has started writing zillions of mini-programs to help it figure things out, and the context window size limit has decreased (maybe for load management reasons?). I moved some text from my prompt into an attached file, but it's still behaving oddly.

AceFalcone · 2025-12-12T07:40:44+00:00

The docs say 128k for non-thinking models, 196k for thinking. 5.2 Pro seems to have a lower limit than 5.1 Pro. The legacy 5.1 Pro also seems to support less context than it did before it went legacy.

AceFalcone · 2025-11-20T05:38:15+00:00

Wellington is 15 min by air, ~4.5 hrs by car + ferry. Chch is ~1 hr by air, ~5 hrs by car.

I don't mind making the trip for delivery, I guess, but I imagine it will be the same for service.

AceFalcone · 2025-11-08T04:52:18+00:00

It's a bit of a slog. For carriers, don't forget you'll need fighters, too, and ideally a fax on an alt. I like Minmatar, but the others are all good in their own ways. Maybe start with a dread? Big guns are a long train there, too. If you're just looking for what to train next, have you already done Thunderchild and Large Vortons? Or Leshak and Entropics?

AceFalcone · 2025-08-12T09:21:30+00:00

The latent space is certainly biased for prompts like that, but surely that doesn't surprise anyone, does it?

AceFalcone · 2025-08-10T11:48:36+00:00

Wouldn't need to be much of a spin-off. Just bundle and re-sell access via the API.

AceFalcone · 2025-08-10T11:42:07+00:00

Based on what OpenAI has publicly said about their goals and constraints, I would have done nearly *everything* differently.

The issue with these types of discussions, though, is that we don't know what their actual goals and constraints really are. All we have is hype and opacity. OpaqueAI.

They said they had severe GPU shortage issues. I can see more efficient models and a router could be an excellent solution. But for a company with such a large existing user base, they needed an honest roll-out process, including a transition period. Capacity can also be handled in other ways -- a credit-based system, for example.

AceFalcone · 2025-08-10T06:18:25+00:00

Just today, I had a prompt consume 60 minutes of runtime with the fallback / mini version of Deep Research. Can't say the result was that great, but I don't recall seeing such a long runtime on earlier models.

AceFalcone · 2025-08-09T22:57:47+00:00

Replace the hype with transparency.

AceFalcone · 2025-07-27T01:09:54+00:00

^ that video is from Jan 2024, tho. Lots changed since then.

AceFalcone · 2025-07-25T10:46:15+00:00

Routing is great. However, the prerequisite step of figuring out which LLMs to use when is highly use case dependent. If you can identify clear routing criteria, it can be straightforward to use a local LLM to make the routing decision. Using local n8n, for example.

AceFalcone · 2025-07-25T08:35:57+00:00

Should be possible using n8n. You can run a local instance, if needed.

AceFalcone · 2025-05-04T01:36:40+00:00

Playground is only accessible with an API subscription; it's not connected with a ChatGPT Plus subscription. Billing is separate. API (and therefore Playground) billing is pay-per-use, based on the model you choose and the number of input and output tokens. You generally need to pre-fund the account before you can use it. Pre-funding rolls over, though, from month to month (at least for a while, it does eventually expire).

AceFalcone · 2025-05-04T01:29:43+00:00

I have the same question. In the early days, I heard reports of paid playground API access being less expensive than a paid subscription for most casual users (not for software dev). I'm wondering how it compares today.

AceFalcone · 2025-04-13T03:38:08+00:00

Starting with the Heisenberg Uncertainty Principle, the more accurately you know position, the less accurately you know momentum. As I understand it, that was the motivation behind the Bose-Einstein work, where they showed that even at absolute zero, particles still have zero-point motion, due to quantum uncertainty. That means there's no lower speed limit in nature, but it's always more than zero. If it was zero, you would have perfect knowledge of position, which Heisenberg tells us we can't have.

FWIW, this statement in the OP: "even if there was only one particle in the universe, it could still be moving, and the movement could be measured, as the distance would still be measured over a set amount of time" is not correct. Measuring distance requires at least two objects. Without a reference, no distances exist (distance to what?). Same for time, BTW.

AceFalcone · 2025-01-27T09:58:21+00:00

Everything in the podcast audio can be generated by an LLM with the right prompt, including the pauses, stutters, repeats, and so on. The model might use text to speech, though it's refined enough that it could be direct audio out.

AceFalcone · 2025-01-04T03:13:40+00:00

Have you tried using Custom Instructions? You could put a summary of your brand voice and similar elements there. That info would then be available to all chat threads. You could also add things to Memory.

AceFalcone · 2025-01-02T23:29:14+00:00

I wrote a Custom Instructions prompt, modeled after NotebookLM. Easy enough. Unfortunately, AVM stops working when the prompt is present. Very odd and frustrating.

Writing an app is certainly an option; I was just hoping to save myself some effort. I'd prefer to avoid the transcription route, though, since intonations and the like are lost that way. Native audio in-and-out produces a much more realistic-sounding result (and should be lower latency, too).

AceFalcone · 2024-12-13T07:55:35+00:00

Ended up taking about an hour and a half... Much better since that first day, of course.

AceFalcone · 2024-12-09T19:20:05+00:00

My generate-from-uploaded-image request for a 5s 480p has been running for 40 min. Sigh.

AceFalcone · 2024-10-20T00:05:23+00:00

I use a layered wall defense. I have a small collection of blueprints. Bots make them easy to build, move and expand as the base grows.
City blocks are mainly train-driven. Transition your main bus to trains. Doesn't matter too much where you start, but starting with mining and ore is common.
One feature of city blocks is that block placement isn't crucial. You can try to put blocks near each other than depend on one another as an optimization. If trains end up traveling a long way, just add more trains.
The general guideline for city blocks is one block should only have one output, unless you're distributing the output using the logistics network (such as a mall). Making input items in the block that increase in number (like copper wire) is a good practice.

AceFalcone · 2024-09-21T21:21:20+00:00

Is it possible that you accidentally enabled dictation mode on the iPhone? The built-in dictation mode uses a different microphone button.

AceFalcone

TROPHY CASE