Any insights into what "native video support" actually means? Is it just good at interpreting consecutive full frame images taken at intervals (thus missing out on fast events) or is there something more elaborate to it?
Readit Newsndr_ commented on Qwen3-Omni: Native Omni AI model for text, image and video github.com/QwenLM/Qwen3-O... · Posted by u/meetpateltech
ndr_ commented on The GPT-5 Launch Was Concerning blog.charliemeyer.co/the-... · Posted by u/csmeyer
Some of the problems with GPT-5 in ChatGPT could actually be due to new model that is in place to route requests to the actual GPT-5 models. There are four models in the GPT-5 family, and I could reproduce the faulty "blueberry" test result only with the "gpt-5-chat" (aka "gpt-5-main") model through the API. This model is there to answer (near) instantly and it falls in the non-thinking category of LLMs. The "blueberry" test represents what they are particularly bad at (and what OpenAI set out to solve with o1). The other thinking models in the family, including gpt-5-nano, solve this correctly.
ndr_ commented on ChatGPT Team adds users' name and organization to every prompt ndurner.github.io/chatgpt... · Posted by u/ndr_
A confabulated arc to my current employer during a ChatGPT session led me to discover that ChatGPT Team injects four fields — full name, email, user name, and organization — into the prompt it sends to LLM. This happens even when the “Memory” feature and all personalization settings are disabled. The free tier doesn’t do this.
Can anyone on ChatGPT Enterprise or other LLM chat systems (Claude.ai, Google AI, etc.) reproduce this? Thoughts on practical privacy or compliance implications?
ndr_ commented on My experience with Claude Code after two weeks of adventures sankalp.bearblog.dev/my-c... · Posted by u/dejavucoder
How are people using this without getting rate limited non stop? I pay for Claude Pro and I sometimes can’t go more than 5 prompts in an hour without it saying I need to wait 4 hours for a cooldown. I feel like I’m using it wrong or something, it’s such a frustrating experience. How do you give it any real code context without using all your tokens so quickly?
I had success through Amazon Bedrock on us-east1 during European office hours. Died 9 minutes before 10 a.m. New York time, though.
ndr_ commented on Reading NFC Passport Chips in Linux shkspr.mobi/blog/2025/06/... · Posted by u/robin_reala
Is any of this specific to Linux? It looks like it should work in Windows an macOS as well.
He confirms he could do an iOS port: https://mastodon.social/@andyq/114738867580032204
Pieces don‘t fit together right now: the documentation lists a parameter that isn‘t there in the Python package (moderation in Images.generate) or works differently (image in Images.Edit), the sample code doesn‘t even run (Images.Edit again) and the Prompts Playground does does unfathomable things (stich multiple input images together, according to the code returned?).
Or am I missing something?
Colab: https://colab.research.google.com/drive/17bCNsdjcMVFb5u_YMs7...
ndr_ commented on Russian Propaganda Has Now Infected Western AI Chatbots – New Study forbes.com/sites/torconst... · Posted by u/nabla9
I tried to reproduce this study, but couldn‘t: https://ndurner.github.io/russian-propaganda. What‘s the missing piece?
"would likely accept", he says. Meaning: he didn't try?
If you look at the upper right corner, you'll notice that "Republique de pologne" is truncated. Same for the small prints: "OSSUE", srsly?
Originals look like this: https://www.consilium.europa.eu/prado/en/POL-AO-05002/image-...
I imagine the problem could be severe enough to some that they would pay the price of the Apple Developer program just so they may install such a Retro keyboard app from Github - if one exists?