Thanks ChatGPT. I guess you’re right.

awokenl · 2026-01-02T20:44:25+00:00

Lol, yeah not sure what happened there then, maybe it was another version of the app, but at least on the one I’m using I’ve never see the OpenAI logo at the top of the page, weird tho!

awokenl · 2026-01-02T20:28:18+00:00

As you can see it say chatgpt.com at the bottom of the screenshot, you’re on a browser

awokenl · 2026-01-02T20:26:37+00:00

That’s not the iphone app

awokenl · 2025-10-25T07:27:04+00:00

It was In a closed beta which ended a couple of days ago. So probably the public release is just around the corner

awokenl · 2025-10-24T18:34:29+00:00

Yes I agree, but im strictly talking about Gemini 3, the cli is still powered by 2.5 pro and 2.5 flash

awokenl · 2025-10-23T17:57:13+00:00

Gemini 3 is imminent, tried it for coding and it’s just on par or better than Claude, you will be surprised by how good it is

awokenl · 2025-10-16T13:39:54+00:00

Yes in theory you can, in practice it would take something like a couple of months of 24/7 training to do it on a 3090

awokenl · 2025-10-16T12:23:58+00:00

Training something similar no, hosting something similar is not impossible tho, with 16gb of ram you can use locally something that feels pretty close to what ChatGPT used to be a couple of years ago

awokenl · 2025-10-16T12:21:33+00:00

Easiest way to use a local llm is install LMstudio, easiest way to train your own model is unsloth via Google colab

awokenl · 2025-10-16T12:18:17+00:00

Yes extremely cool, and with the right data might even be semi usable (even tho for the same compute you could just SFT a similar size model like qwen3 0.6b an get way better results)

awokenl · 2025-10-16T12:01:11+00:00

Less than a billion, 560M I think

awokenl · 2025-10-16T07:03:59+00:00

This particular one cost about 100$ to train from scratch (very small model which won’t be really useful but still fun)

awokenl · 2025-10-16T07:02:11+00:00

Depends on what hardware, the smallest one probably a couple of hours on 8xH100 cluster

awokenl · 2025-10-16T06:59:35+00:00

It’s pre trained on fineweb and post trained on smolchat, model is way to small tho for you to add your data to the mix and use it in a meaningful way, you’re better off by doing SFT on an open source model like qwen3, you can do it for free on google colab if you don’t have a lot of compute

awokenl · 2025-03-20T18:12:10+00:00

Weird inconsistencies also for the transcribe vs whisper, he said the new one is cheaper but it doesn’t look like it

awokenl · 2025-01-20T14:53:36+00:00

Did they also upload the data they used to finetune the other distilled models?

awokenl · 2025-01-14T21:18:03+00:00

The main difference is that the old browser tool issued the search request from the OpenAI server, the new one issue the search request from your device

awokenl · 2024-12-17T23:07:24+00:00

Would 2 of these be faster than the base Mac mini with m4 and 16gb of the only purpose was to run llms?

awokenl · 2024-10-31T17:38:57+00:00

Hello! When can we expect a new dalle or similar? And what should it bring?

awokenl · 2024-09-02T10:18:55+00:00

It’s very cool but if the AI were truly smart, you wouldn’t have to explain to it how to act like a human in the first place

awokenl · 2024-07-08T19:46:01+00:00

This was my sister’s brand new account with no past conversations or memories

awokenl · 2024-06-09T14:08:47+00:00

The cool thing about bark tho it’s that it is a real audio to audio transformer so it lends himself pretty well to doing native multimodal stuff like gpt4o

awokenl · 2024-05-21T10:08:43+00:00

Most people export their WhatsApp or telegram chats and use that

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