Litheesh retweeted
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon!
It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback.
Here’s a look at the benchmarks:
"AI Progress has been rapid and will continue to be. But it should be slower than it otherwise could be" - sam
The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot.
We welcome a federal framework that sets consistent safety requirements for frontier AI. But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence. Consistent rules to manage frontier risk so that we can maximize the benefits are a good idea (and we are excited by ideas like independent auditors).
Years ago, companies like ours developed things like Responsible Scaling Policies and Preparedness Frameworks. Those were good for that moment, and focused primarily on the deployment of completed models, not what happens during their development process.
Today's shift to focusing on safe development and evaluation will need new tools. For example, at OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability, in addition to the safety work we have long done in advance of model releases.
We hope that other companies will learn from our approaches and propose their own; we think shared standards for misalignment, monitoring, and safety will lead to better outcomes. We look forward to collaborating with our colleagues across the industry to formulate the best version of these.
When we talk about “pacing”, we do not mean “stopping”. Progress has been rapid and will continue to be. But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs.
Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring.
Where we will need the help of our government is for international coordination. But first we should do what we can ourselves.
I don't think this would be a wise decision. AI is becoming like a nuclear deterrence. If any country stops the progress of AI, it will fall behind countries that encourage AI development. At the same time, we should find ways to create strong guardrails around AI.
Litheesh retweeted
Telegram has applied for the .gram domain zone.
If the application is approved by ICANN, a billion Telegram users could get their own second-level domains — yourname.gram.
Users would be able to set up their interactive websites hosted by Telegram — with one prompt ✨
Hi @myoraclesupport ,I attempted to sign up for Oracle Cloud Free Tier, but the signup failed and my debit card was charged for verification. I raised a support ticket, but I haven't received any meaningful response or resolution yet. Could someone please review my case and help?
Been using GPT-5.6 Sol for a few days now and ngl it's different
Tried Ultra mode on a much bigger task, and it split the work across multiple agents running in parallel.
Finished way faster than I expected.
Somehow it's also cheaper than what I was paying before, while handling coding tasks better.
Not gonna lie it's the first model in a while that actually felt like it got out of my way instead of needing constant direction.
Ran full day-long sessions without needing to reset the goal. It just kept working.
Handled sub-agents way better than I expected.
Seeing the same coding runs cost around $8 instead of $20+ elsewhere is pretty impressive.













