One step better every day.
Joined June 2022
- Tweets7K
- Following1.4K
- Followers1.8K
- Likes12.8K
There’s something beautiful about watching a frontend and backend come together.
One person builds what you see, another handles what happens behind the scenes, and the API connects everything.
The fact that all these different pieces can work together seamlessly to create one product is honestly one of the coolest things about engineering
Opus 5.5, Astra, and Argon can build this entire fintech system for you.
The architecture, the APIs, the database, the payment integrations. All from a few prompts.
But when a transaction fails, the database breaks, or you're asked to debug your own system, you realize you don't actually understand what's happening under the hood.
AI can help you build a fintech app in a day. But can you fix it when real money starts disappearing ?
we gave AI agents access to customer accounts before fully understanding the risks and expected everything to be fine
now banks are struggling to distinguish real users from AI agents, and some bots are reportedly taking actions nobody authorized.
but sure, let’s keep moving fast and break things
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-agen…
Jensen Huang co-founded NVIDIA in 1993, when the future of AI was far from clear. He spent decades building technology that many people couldn't yet see the need for.
Today, NVIDIA is helping power the AI revolution.
Sometimes, success means believing in a future nobody else can see yet, and having the courage to keep building until the world chatches up.
Something has been on my mind lately.
SpaceX keeps launching rockets and putting satellites into orbit, but who is making sure everything being sent into space won't create problems for us here on Earth years from now?
Are there strict regulations monitoring this, and who holds these companies accountable if something goes wrong.
Space exploration is exciting, but we shouldn't wait for a problem to happen before we start asking these questions.
Wake up, wake up ! Stop dreaming!
If something like this can happen inside an AI company, it raises serious questions about the security of the data we entrust to these platforms.
This is why people need to be more careful about what they share with AI tools. Your passwords, API keys, .env files, private documents, and confidential business information should never be shared carelessly.
AI models can be incredibly useful, but using them doesn't mean you should abandon basic security practices. Your data may be processed, stored, or handled according to the platform's policies, and you may not always know who can access it or under what circumstances.
Never confuse an AI tool being helpful with your data being completely safe.
Use AI to improve your productivity, but understand the risks, review the privacy policies, and avoid exposing sensitive information unless you understand how it's handled and have a legitimate reason to share it.
The goal isn't to stop using AI. It's to use it intelligently without compromising your security.
We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work.
At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated.
We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.
Gemini 4 Argon used less quota and finished faster than Opus 5.5 in this test.
With results like this, what do you think about Gemini Argon ?
