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The US government drops its CHIPS Act requirements for Intel

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Intel no longer has to fulfill certain requirements or meet milestones that it was originally supposed to under the CHIPS Act, now that the government is taking a stake in the company. According to the Wall Street Journal, Intel said in a filing that it can now receive funding from the government, as long as it can show that it has already spent $7.9 billion on projects that it agreed to take on under a deal with the Commerce Department last year. Reuters notes that Intel has already spent $7.87 billion on eligible CHIPS Act-funded projects.

In addition, the company doesn’t have to share a percentage of the total cumulative cash flow it gets from each project with the Commerce Department anymore. It doesn’t have to adhere to some of the CHIPS Act’s workflow policy requirements and most other restrictions, as well. However, it still can’t use the funds it gets from the government for dividends and to repurchase shares.

If you’ll recall, the government recently decided to take a 10 percent stake in Intel instead of proceeding with their original CHIPS Act deal. President Donald Trump previously called for Intel CEO Lip-Bu Tan to resign, prompting a meeting between them that led to the new agreement. “He walked in wanting to keep his job and he ended up giving us 10 billion dollars for the United States,” Trump said. “So we picked up 10 billion.” Intel eventually announced that the US government will “make an $8.9 billion investment in Intel common stock.” The purchase will be made up of the $5.7 billion previously earmarked for Intel as part of the CHIPS act, while the rest ($3.2 billion) will be awarded as part of the Secure Enclave program.

Intel CEO David Zinser recently revealed that the company already received $5.7 billion from the government on Wednesday night. The government also previously awarded Intel $2.2 billion in grants under the CHIPS Act, bringing the government’s total involvement with the company to $11.1 billion.



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A Software Engineer Explains Why He’s Not Afraid AI Will Take His Job

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Doug Steinberg, 46, is a software engineer who lives in Coral Springs, Florida. He isn’t worried that artificial intelligence will steal his job because he’s able to use it to be far more productive. The following has been edited for brevity and clarity.

In the last year or so, I’ve been using AI-assisted coding, and I’ve gotten really used to it. I don’t want to go back to the old way or be at a company that doesn’t think that you should be using it.

AI takes a lot of the load off of you. As an example, one thing that every developer has to do is make commit messages. You write some code, you do your work, and you save it, basically, to a checkpoint. You write a message about what you’re saving. It seems no one has ever really put a lot of effort into that. Now, you just say, “Hey, write me a good message,” and AI writes incredible, detailed comments.

In the past, you’d always see messages like “work in progress” or totally unusable stuff. Even if it was kind of useful, AI adds a lot more detail. Now, I never have to think about what I have to write for that. That’s only one tiny slice of the whole big picture with AI.

AI will make you better

Using AI, it almost feels like you have another person with you at all times that you can ask anything you need to or try to brainstorm with. Before, it was all on you. It’s crazy to me to think about going a day without using it, even though it’s only been a year or two since this came out.

I can write an entire app now in days, where before it would have taken me months. For example, my wife and I have a side business developing software for sales agencies in the lighting industry. We’re not using AI for it yet, but we plan to.

I started writing an app for our company back in 2023. It took me months. There’s a similar app, complexity-wise, that I made more recently for our daughter’s school to track volunteer hours, and, using AI, I made the thing in a few days. My wife says it’s like changing out your shovel for an excavator.

What really turned my thoughts about AI was when I discovered Claude Code. It seemed to do at least 5x better than anything I’d seen before. The first website I vibe-coded that actually worked out was for my wife’s company for a conference. In the past, they would just make a simple site to let people know about the event.

This time, I ended up making this whole conference platform where guests could register and get notified, manufacturers could register, and manufacturers could scan guests’ name tags to see who visited their booth.

Without AI, I would have never invested the amount of time it would take to build a thing like that. It would have easily been a couple of weeks. In this case, I got it up and running in just a few days, and looking really nice.

AI can do visual design way better than I can. That’s not something I’m good at, and it can make things look pretty decent. If I were good at design, it could probably make things look amazing. I’m good at software development, but AI will make you better at what you’re good at.

Amplifying productivity

Software engineers work for companies that build software, and their whole thing is they want to keep on putting out features as fast as they can and doing things for their customers. I just see AI amplifying it. I see there being more features — faster and better.

Ultimately, the customers are going to get more out of whatever tools they have. In some cases, maybe they’ll think they don’t need some software products anymore because they can just do it themselves. Honestly, I still think it’s going to be a net-positive. As a maker, I’m not afraid of people like me being negatively impacted.

When it comes to my career, I think the only reason I’m any good is because I had to go through all that pain to learn how things actually work. If I didn’t have to do that, I don’t know if I would have had the discipline to actually learn it. If you don’t really know how things work, you’re not going to get that far. It’s going to be a house of cards that will eventually fall over.

It’s possible that companies won’t need as many people, but I’m not that worried about it because I can make things and could make money on my own. I’ve always wanted to make my own apps, but I’ve never had enough time or been fast enough to do it.

Now, it’s almost like you have another you. You can give it a prompt, walk away, and come back later, and this whole feature is built. There’s just never been anything like it.

Do you have a story to share about your career? Contact this reporter at tparadis@businessinsider.com.





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Purple Lexity, an American artificial intelligence (AI) search company, cited Mail Business as an ex..

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Exploration loop case applied to the Mail Business homepage. Under the body of the main article, AI proposed follow-up questions, which were designed to keep readers curious. Capture the Mail Business Home Page

Purple Lexity, an American artificial intelligence (AI) search company, cited Mail Business as an excellent example of media innovation and improved independent experiences. Purple Lexity recently introduced the number of searches and users in just a few months after Maekyung introduced its search API “Sona” through an introduction to excellent collaboration cases on its official website.

Specifically, in a post titled “How Maeil Business Newspaper provides readers with in-depth search functions in the site with Sona API,” Purple Lexity evaluated that Maekyung has built an AI-based search function to increase readers’ accessibility and utilization at the same time.

In particular, the key strength was that the source of the original article was clearly informed of the answer through a question-oriented search in the form of a sentence rather than a simple keyword match.

Maekyung has been pushing for search innovation since last year to find the answer that readers want easily and accurately in more than 600 articles a day. Existing keyword searches were easy to miss context, and early AI solutions were less reliable due to hallucination problems. In response, Maekyung worked with Purple Lexity, which specializes in AI search, to explore the entire archive of articles that Maekyung has accumulated over the past 60 years when readers enter questions, presenting answers that fit the intention of the question and marking the sources of related articles together.

Purple Lexity introduced "Maegyeong AI Knowledge Search" on its website as an excellent example of collaboration. Purple Lexity
Purple Lexity introduced “Maegyeong AI Knowledge Search” on its website as an excellent example of collaboration. Purple Lexity

Purple Lexity introduced Maekyung’s principle that “independent trust is secured when the generated answers are accurately linked to the source of internal articles.” It explained that it provided immediate services to questions that required extensive information processing and built services so that readers with various expertise could understand them, improving the speed and quality of information access at the same time. The performance before and after the introduction of AI search was confirmed by figures. As of July this year, the total search volume on the website of Maekyung surged 64.4% compared to the beginning of the year, and the number of search users increased 25.0% during the same period. In particular, AI knowledge search in Maegyeong accounted for about half of the total search volume as of July.

There was also a clear change in the usage behavior of readers every day. “AI presents related questions in addition to answering questions in the AI knowledge search window, and the proportion of clicking on them accounts for about a quarter of all searches,” said an official at MaekyungAX. “Readers have begun to actively utilize the follow-up search path proposed by AI beyond simply reading articles.” An official from Maekyung also said, “Readers are using it not only as a context-based search but also as a tool for financial technology and life-oriented analysis while obtaining detailed and reliable answers even with simple questions.”

The actual Maekyung site function was also reorganized accordingly. Reading the body of a paper article creates a Chain of Search that automatically generates relevant recommendation questions to continue curiosity, and an AI search box is placed separately in each article to make it easier for readers to ask customized additional questions. In addition, Purple Lexity emphasized that this case is a model of how the collaboration between media companies and AI companies innovates their own experiences.

[Reporter Ko Min-seo]



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AI is not just automating today—it’s redefining tomorrow. In this episode of The Thought League Season 3, Professor Richard Susskind CBE KC (Hon), Author, Speaker & Independent Adviser and Cyril Shroff, Managing Partner, Cyril Amarchand Mangaldas ex – LinkedIn

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AI is not just automating today—it’s redefining tomorrow. In this episode of The Thought League Season 3, Professor Richard Susskind CBE KC (Hon), Author, Speaker & Independent Adviser and Cyril Shroff, Managing Partner, Cyril Amarchand Mangaldas ex  LinkedIn



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