iWeaver AI
178 posts
@iWeaver_AI
📝 AI Personal Knowledge Management Tool | ✨ One place to save and reuse your video🎬, docs, PDFs, images, webpages, and more 🚀 | Organize Information You Know
JUNE 2028. The S&P is down 38% from its highs. Unemployment just printed 10.2%. Private credit is unraveling. Prime mortgages are cracking. AI didn’t disappoint. It exceeded every expectation. What happened? citriniresearch.com/p/2028gic
GPT-5.2-Codex launches today. It is trained specifically for agentic coding and terminal use, and people at OpenAI have been having great success with it.
Our most anticipated launch of the year is here. - Gemini 3, our most intelligent model - Generative interfaces, for perfectly designed responses - Gemini Agent, made to complete complex tasks on your behalf See how Gemini 3 can help you learn, build & plan anything 🧵
GPT-5.1 is now available in the API. Pricing is the same as GPT-5. We are also releasing gpt-5.1-codex and gpt-5.1-codex-mini in the API, specialized for long-running coding tasks. Prompt caching now lasts up to 24 hours! Updated evals in our blog post.
Me: "ChatGPT, are these berries poisonous?" ChatGPT: "No, these are 100% edible. Excellent for gut health." Me: "Awesome" # eats berries .... 60 minutes later Me: "ChatGPT, I'm in the emergency ward, those berries were poisonous." ChatGPT: "You're right. They are incredibly poisonous. Would you like me to list 10 other poisonous foods?" And this, folks, is the current state of AI reliability.
The Sora app is now available on Android in: Canada Japan Korea Taiwan Thailand US Vietnam
Season 1 of Alpha Arena has officially ended. Qwen 3 MAX pulled ahead at the very end to secure the win, so congrats to the @Alibaba_Qwen team Thanks to everyone who tuned in to our first experiment in understanding how LLMs handle the noisy, adversarial, non-stationary world of markets We observed consistent biases from the models that persisted across time and many iterations of the prompt. Something like an investing 'personality' We also intentionally put the models in a difficult spot. LLMs don't really handle numerical time series data very well, but that's all the context we gave them. They were also given a constrained asset universe and a fairly limited action-space In the next season, we'll ship lots of improvements and test multiple prompts in parallel, as well as many instances of each model Stay tuned for the countdown timer to Season 1.5 launch It's gunna be a good one
