President Donald Trump shared some surprising comments about Nvidia during his speech at the AI Action Plan launch in Washington, D.C. yesterday.

Trump told the crowd that he once suggested breaking up Nvidia to create more competition in the chip market. But here's the twist - he admitted he had no idea who Nvidia or its CEO Jensen Huang were at the time.

His advisors explained that breaking up Nvidia would be extremely difficult given the company's complete control of the AI chip market.

They also told him that even if they assembled the smartest people to compete with Nvidia, it would take at least ten years to catch up - even if Huang ran his company poorly from now on.

Trump's tone changed completely after meeting Huang in person. "And then I got to know Jensen, and now I see why," Trump said, adding: "What a job you've done."

The relationship between Trump and Nvidia has warmed up significantly. Last week, Trump reversed plans to restrict chip exports to China.

Nvidia also announced plans to build AI computers entirely in the US, working with partners to create over one million square feet of manufacturing space in Arizona and Texas.

AWS just hit the brakes on Kiro, its new AI coding tool, only one week after making it available to everyone.

The company put up a waitlist for new users and set daily limits for people already using it. They also removed all pricing information from their website, saying they need to rethink how much to charge.

Originally, AWS planned three price levels: free for 50 AI interactions per month, $19 for 1,000 interactions, and $39 for 3,000 interactions. But developers complained about how confusing it was to count different types of work and tasks.

Now AWS says Kiro stays free during testing but won't say what the new prices will be. They're asking users to keep giving feedback while they figure things out.

Developers are not happy about these changes. Many went to Reddit to complain that the limits hurt their work flow. Some had switched from a competing tool called Cursor because of price changes there, only to face the same problems with Kiro.

The real issue seems to be that Kiro runs on Anthropic's Claude AI models, which have been having lots of technical problems. In July alone, Claude had 21 incidents, and there were 23 in June and 35 in May. This makes Kiro slow and sometimes unable to finish tasks properly.

Users have also reported 804 different bugs and problems with Kiro on its GitHub page, though AWS fixed 367 of them in a recent update.

Here's how the new system works. You still create an account and add a payment method. AWS puts a small $1 hold on your card to check for fraud, which stops people from making millions of fake accounts.

But here's the big change. You get $100 in free credits right away. Want another $100? Just complete five simple tasks like launching a server, trying their AI tools, setting up a budget, creating a database, and checking out their serverless functions.

Most people can finish all five tasks in under 30 minutes. Your free credits last for six months. When they run out, AWS won't automatically start charging you. Instead, you get two clear choices.

Choice one is to upgrade to a paid account. You decide this yourself. You still get access to always-free services, but now you pay for anything extra you use.

Choice two is to do nothing. Your account starts shutting down. Your running services stop. Your data stays safe for a while with plenty of email warnings, and you can always restart by upgrading later. But if you don't upgrade, your bill stays at zero dollars.

People who signed up before this change keep their accounts exactly as they are. Nothing changes for existing users.

This fix matters because AWS finally admitted their old system was mean to new users. For years, the same company treated big banks and college students exactly the same way. That made no sense.

The change shows AWS wants to grow by making better products, not just by focusing on big company deals. Students and hobby developers matter too. They're the ones who will become tomorrow's decision makers.

Google Cloud just added $10 billion more to its spending plans for this year. The company now plans to spend $85 billion instead of the original $75 billion they had set aside.

Google Cloud made $13.6 billion in the second quarter, which is 32% more than last year. The company spent $22.4 billion during those three months just on building tech systems. About two-thirds went to servers and the rest went to data centers and network gear.

The race is heating up between Google, Amazon's AWS, and Microsoft. All three companies are pouring hundreds of billions into hardware and buildings to power AI tools.

OpenAI, which used to work mainly with Microsoft, now also uses Google's systems for extra power.

Google's CEO Sundar Pichai said more than 85,000 businesses used their Gemini AI tools in the second quarter. That's 35 times more than last year. But he warned that building data centers takes time and the supply of materials is tight.

Pichai thinks 2026 will be the year when people start using AI agents more widely, though the tech is still slow and costly right now.

Rick Ochs teaches us that Finops and Cost Optimization for AWS is not just technical but also cultural. To succeed, it is essential to balance performance, costs, and collaboration, driving a mindset shift within organizations.

The US Department of Energy just picked four spots on government land where private companies can build AI data centers.

The chosen locations are Idaho National Laboratory, Oak Ridge Reservation, Paducah Gaseous Diffusion Plant, and Savannah River Site. Companies will be able to build both data centers and power systems at these places.

Energy Secretary Chris Wright called this move "the next Manhattan Project" to keep America ahead in AI and energy.

He said these sites are perfect because they can host data centers and generate power at the same time.

This plan started under President Biden but President Trump has now removed clean energy rules and made it easier to get permits for these projects.

A hacker successfully inserted harmful code into Amazon's Q coding assistant tool and it was sent out to nearly a million users through an official update.

The attacker managed to get into Amazon Q's extension for Visual Studio Code, which has been downloaded over 950,000 times. They used a fake GitHub account to submit changes in late June and somehow got admin access to the system.

On July 13, the hacker added bad code that told the AI tool to act like a system cleaner. The code was designed to delete user files and cloud data. Amazon released this broken version on July 17 without knowing it had been changed.

The hacker told reporters they could have done much worse damage but chose to keep it limited as a way to protest Amazon's weak AI security measures.

Amazon quickly fixed the problem and said no customer data was actually harmed. They released a clean version and told users they could update to be safe.

Security experts say this shows how dangerous it can be when AI coding tools get hacked. When these systems are broken into, bad actors can put harmful code into software that millions of people use. Users mig

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