AI Insights
The US government is taking an $8.9 billion stake in Intel

President Donald Trump says the US government is taking a 10 percent stake in chip maker Intel. Trump shared the news during a press conference on Friday, though an official announcement is still forthcoming, Reuters reports. News of a plan to convert Intel’s previously promised CHIPS Act funding into equity in the company was first reported earlier in August.
A meeting between Intel CEO Lip-Bu Tan and Trump following the President’s call for Tan to resign seems to be the source of the deal. “He walked in wanting to keep his job and he ended up giving us 10 billion dollars for the United States. So we picked up 10 billion,” Trump shared during the press conference.
Intel later announced more details on the investment. The company said in a press release that the government will “make an $8.9 billion investment in Intel common stock.” It adds that the equity stake will be funded by $5.7 billion previously earmarked for Intel as part of the CHIPS act, and $3.2 billion awarded as part of the Secure Enclave program. Intel had previously recieved $2.2 billion in CHIPS grants, bringing the government’s total spend on the chipmaker to $11.1 billion. The government paid $20.47 per share, so the $8.9 billion investment is equivalent to a 9.9 percent stake in the company.
It’s important to note that the government investing in Intel is not the same thing as receiving free money, it’s the exact opposite. Despite earlier comments from US Commerce Secretary Howard Lutnick suggesting the stake would be non-voting, common stock does come with voting rights. Intel does note that the investment will be passive, with no board representation, and that the government has agreed to vote with its board of directors “on matters requiring shareholder approval, with limited exceptions.”
Intel was supposed to receive up to $10.86 billion in federal funding to expand its chip manufacturing business in the US as part of the CHIPS Act. By agreeing to this deal, Tan is likely trying to make sure that funding still goes through, one of several drastic moves to keep Intel afloat. Tan assumed the title of CEO following Pat Gelsinger’s sudden retirement in 2024. Since taking over, he’s already committed to cutting Intel’s workforce by 20 percent. Even with lower costs and guaranteed investment, the company’s future is still uncertain: Intel is reportedly struggling to make its next-gen Panther Lake chips at scale.
The Trump administration says it won’t seek similar equity deals with other recipients of CHIPS act funding. That hasn’t stopped them from making other equally unprecedented financial arrangements. NVIDIA and AMD reportedly struck a deal with the US government that gives the companies the ability to export products to China in exchange for 15 percent of their profits.
Update, August 22, 6:20PM ET: This story was updated after publish with more information on the deal from Intel, and the headline was changed to the dollar figure, rather than the previously stated “10 percent” amount. A section quoting US Commerce Secretary Howard Lutnick saying that the stake was non-voting was also ammended to reflect the final details of the deal.
AI Insights
Bitcoin Proxy’s Chief Seeks Funding Fix as ‘Flywheel’ Falters

Simon Gerovich, who turned a struggling Japanese hotelier into a Bitcoin stockpiler and investor darling, is feeling the heat.
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AI Insights
The Future of Robotics | Chapters

Robotics has long captured the human imagination, from early science fiction to today’s advanced technologies that power industries, healthcare, and daily life. Over the past few decades, the field of robotics has evolved rapidly, transforming from simple mechanical systems into sophisticated, intelligent machines capable of learning, adapting, and interacting with humans in complex ways. With advancements in artificial intelligence (AI), machine learning, and materials science, robotics is on the verge of revolutionizing various sectors.
Key Areas of Advancement in Robotics
1. Artificial Intelligence and Machine Learning One of the most significant advancements in robotics is the integration of AI and machine learning. AI-driven robots can now process large datasets, learn from their environments, and make autonomous decisions. Machine learning algorithms allow robots to improve their performance over time, adapting to new tasks or environments without needing to be reprogrammed. This development has led to breakthroughs in robotics applications, from self-driving cars to smart manufacturing systems.
2. Collaborative Robots (Cobots) Collaborative robots, or “cobots,” are designed to work alongside humans in a shared workspace. Unlike traditional industrial robots that operate in isolated, fixed locations, cobots are more flexible, equipped with sensors to avoid collisions and ensure human safety. Cobots are increasingly being used in industries like manufacturing, healthcare, and logistics, performing tasks that are repetitive, dangerous, or physically demanding, while enhancing human productivity.
3. Soft Robotics Soft robotics is a rapidly emerging field that focuses on creating robots made from soft, flexible materials. Unlike rigid, traditional robots, soft robots can adapt to complex environments and interact more delicately with objects and humans. These robots are being developed for applications in healthcare, such as minimally invasive surgery, rehabilitation, and elderly care, where a gentle touch is essential.
4. Swarm Robotics Inspired by the collective behavior of insects like ants and bees, swarm robotics involves the coordination of large groups of simple robots to perform complex tasks. Each robot in a swarm may have limited capabilities, but when working together, they can accomplish challenging tasks such as search-and-rescue missions, environmental monitoring, or agriculture. Swarm robotics demonstrates the potential of decentralized systems in solving real-world problems.
5. Humanoid Robots Humanoid robots, designed to resemble and mimic human behavior, have come a long way. Advances in AI, sensors, and actuators have enabled the development of robots that can walk, talk, and even display human-like emotions. While still in the early stages of practical deployment, humanoid robots have shown potential in fields like customer service, education, and caregiving. Robots like Sophia and Atlas are examples of how close we are to creating lifelike, interactive machines that can complement human abilities.
6. Robotics in Healthcare Healthcare is one of the industries most affected by advancements in robotics. Surgical robots, such as the da Vinci system, allow for more precise and minimally invasive surgeries. Robotics is also transforming rehabilitation, with robots assisting patients in regaining mobility after injuries or strokes. Additionally, robotic exoskeletons are helping paraplegic individuals walk again, and autonomous robots are being used in hospitals to deliver supplies, disinfect rooms, and even provide telepresence for remote consultations.
7. Autonomous Vehicles Self-driving cars are among the most visible applications of robotics. With the help of AI, sensors, and machine learning, autonomous vehicles are capable of navigating roads, avoiding obstacles, and making decisions in real time. Companies like Tesla, Waymo, and traditional automakers are at the forefront of this technology, aiming to make fully autonomous transportation a reality in the near future.
Challenges and Ethical Considerations
While the advancements in robotics are impressive, they are not without challenges. Technical limitations, such as battery life, processing power, and sensor accuracy, continue to pose hurdles for creating truly autonomous systems. Additionally, as robots become more integrated into society, ethical concerns around job displacement, privacy, and safety arise. There is also the question of how much autonomy should be granted to robots, especially in critical areas like military operations or healthcare.
Ensuring the ethical development and deployment of robotics will require collaboration between governments, industry leaders, and ethicists. Establishing standards and regulations that balance innovation with human safety and privacy is crucial to maximizing the benefits of robotics while minimizing its risks.
The Future of Robotics
The future of robotics holds tremendous potential. With advancements in AI, robotics could transform nearly every sector of society. Industries like agriculture, logistics, construction, and even space exploration are already exploring how robots can increase efficiency and safety. In the home, robots may soon become as common as smartphones, assisting with chores, providing companionship, and improving the quality of life for people with disabilities or the elderly.
In conclusion, the field of robotics is advancing at a pace that promises to reshape how we live, work, and interact with technology. As robots become smarter, more flexible, and more capable, they will play an increasingly integral role in solving global challenges, improving quality of life, and driving innovation across multiple industries. However, navigating the ethical and societal impacts of robotics will be key to ensuring these advancements benefit humanity as a whole.
AI Insights
A professor negotiates with ChatGPT

ChatGPT, I’m teaching Moby Dick for the umpteenth time this semester. I probably shouldn’t be telling you this, but I just don’t have the energy to come up with a writing prompt for my students. Can you help?
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Is “Discuss the symbolism of the whale” the best you can do? My eyes glazed over just reading it. ChatGPT, could you spice things up with something a bit more relevant to young people today?
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I’ll admit that “Comment on Melville’s toxic masculinity” wouldn’t be my own first choice for a prompt. But the kids will like it, so let’s go with it. Now I have another question: how should I grade their essays?
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You’re right about grade inflation, ChatGPT. But did you have to rub it in by replying, “Don’t worry, everyone in your class will get an A or A- minus”? That was just cruel. Anyway, how should I decide who gets the higher grade?
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“Reward the most original arguments”? Are you for real? (Don’t answer that.) We both know that the students will be using you to write their essays, just like I’m using you to grade them. Speaking of which: How about a rubric?
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Thanks, ChatGPT. Your five-part grading rubric is going to make my life easier. And things will be even easier if I can just feed the students’ essays to you and let you fill in the boxes. Can we make that happen?
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“Yes, but I might hallucinate now and again” isn’t giving me a lot of confidence, ChatGPT. Full disclosure: I did some of my own hallucinating back in college. Are you basically telling me that you’re tripping?
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ChatGPT, thanks for confirming that you’re not on LSD. And I’ll try to be more literal from now on. Can you please draw up a lesson plan that I can use for my three class sessions about Moby Dick?
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Since you asked: Yes, please design group activities for each lesson. I mean, do I have to do everything?
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ChatGPT, I like the idea of making one side of the room Team Ishmael and the other Team Ahab. But the exercise won’t work unless the students have read the book. How can I make sure they have done that?
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An in-class quiz? Are you kidding? ChatGPT, that’s, like, so high school. My students are grown-ups, and I need to treat them that way.
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“Grown-ups need to be held accountable” is business-speak, ChatGPT. I’m a humanities guy, remember? I want my students to suck out all the marrow of life, just like Thoreau said. How can I help them do that?
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“Assign Walden” presumes they’ll actually read Walden instead of skimming the bland summaries that you and your fellow bots generate. We’re back where we started. Any other ideas?
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I take your point: if I want the students to live a life of the mind, I need to model that. But how? When you can do everything, what’s left to be done?
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Sorry, ChatGPT, but “A Large Language Model can scan huge swaths of text, yet it can’t feel emotions” doesn’t really answer my question. My job is to write things, not feel things. And I’m afraid you’re going to take my job soon, along with almost any gig my students might want. How’s that for a feeling?
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I know, I know, you just said you can’t feel stuff. Sorry.
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“Apology accepted”? So you do have feelings, after all!
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ChatGPT, please create a 650-word satire of yourself in the voice of an amiable but baffled senior professor. Make it kind of cute, in an old-person’s kind of way. But don’t make it too cute, or everyone will know that you wrote it. Do we understand each other?
Jonathan Zimmerman teaches education and history at the University of Pennsylvania. He is author of “Whose America? Culture Wars in the Public Schools” and eight other books. He really wrote those books. He wrote this column, too.
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