Indian influencer passing off an unverified kidnapping and a $1 million theft as his own personal experience, while simultaneously broadcasting to the entire internet exactly where he keeps his imaginary money and how much he has 🤡
I was kidnapped last year and had over a million dollars stolen from my Binance account.
And right now, in the middle of the biggest hack crypto has ever seen, I still have almost $10M sitting on Binance.
Here's why. Part of that money got frozen after it was taken. A few exchanges stepped in to help, but Binance was the quickest, and they got some of it back to me. You don't forget that.
I've told people for years to keep their crypto in their own wallets and not use exchanges for long-term storage. I still mean that. The $10M is for my day-to-day trades and investments.
Binance says it'll cover all losses from the $6.3B hack. But this won't be the last one. Hackers keep getting smarter, and AI is about to make them a lot better at this. The whole industry needs to wake up.
Most people will see this as a reason to sell. I see it as a buying opportunity.
So be honest. Are you pulling your funds or buying the dip?
@elonmusk@HuaweiMate6 Elon, have a lot of respect for you, but bad time to troll. Please stop.
Our SPCX shares (from our $500m investment in your Twitter takeover) are worth more than a billion.
Would appreciate if you show a little support. Thanks!
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
https://t.co/EmEZsFRMcF