@AnthropicAI I agree. Just don't go with the flow that everyone in industry is signing the letter and council, so they are right. Dario's points are so valid that open source doesn't mean it will help defenders more than attackers, the opposite seems more probable to me.
Why can't gemini app on web and on mobile edit my docs/slides/sheets directly?
Right now it generates the reports in canvas and when I ask it to update respective doc, it just export it into a new doc. You guys have this kind of ecosystem, still lacking basics? @joshwoodward
Hi @antigravity team,
Your model picker looks really ugly in Antigravity. Can you please vibe code a new model picker for it?
Just simply moving the thinking effort apart from model would also work.
Also the 3rd party models are outdated, kindly refresh them or remove them.
A few scope of improvements:
-Can add a dynamic thinking mode (Auto mode) by which instead of user specifying the thinking effort, it automatically gets based on the task, how much effort to use.
@ChatGPTapp
GPT 5.6 is absolutely beast!
Here's what I liked about it and what I built with it:
- luna, terra, sol : Pure bliss naming convention.
- The in-app browser, made web dev so enjoyable.
- The new Model picker is too good.
- The unified app : chatgpt work + codex = ๐ซถ
@ChatGPTapp
With GPT 5.6, Built a real-time AI ops center for FIFA 2026 โฝ๐๏ธ
โ GenAI incident triage & dispatch โ 82K fan crowd management โ Weather-adaptive egress routing โ Multilingual AI concierge โ Live audit trail + volunteer roster
Absolute Beast model!
๐https://t.co/bd9sxhgnyT
@demishassabis Well thought. Just a suggestion regarding the last point of expanding it to international leve later on, can't we start building it with representatives from every country from the very beginning only?
And gemini is even worse with naming, with preview & GA version on top of all the mess. They can do like:
Gemini 4 (low, med, high)
Nano Banana 3 (low, med, high)
Omni 2 (low, med, high)
Lyria (low, med, high)
Gemini Live 3(low, med, high)
Gemma 4 (low, med, high)
Easy-peasy...
Question: Why don't companies just unify their different models into a single model with just 3 level thinking efforts, for example, instead of claude haiku 4.5, sonnet 5, opus 4.8, fable 5, they just do it: Claude 5 (low, med, high), it's so damn easy!
Updates could be 5.1, 5.2
OpenAi tried the same with GPT 5.6 by naming it luna, terra, sol, but they still have low, med, high, xhigh, ultra, pro inside each of these, WTH, if the models are so intelligent, then they should know how much to think for a task, not depend on anybody specifying it manually..