Tag: AI

I’ve seen Claude Trading videos absolutely dominate YouTube for the past few months. And while Claude and AI in general is a very powerful software, I’m witnessing traders use it in a way that won’t actually help their trading. So I’m covering the mistakes I see traders like you making, and more importantly, how you can actually use AI to improve your trading.

Summary:

A fatal gas explosion occurred at Watson Grinding, killing three people and destroying hundreds of homes. 3M hired an expert from Nighthawk Engineering for $90,000 to produce an expert report proving 3M was not liable regarding the maintenance of gas detectors.

• Misuse of ChatGPT: Instead of conducting a thorough investigation, the expert used ChatGPT to generate a 30-page report. He explicitly prompted the AI to find 3M “0% at fault” and to explain why his background suited rendering that opinion.
• Self-Evaluation & Warnings: The AI gave its own report a score of 97/100. Additionally, when asked to review the report as opposing counsel, ChatGPT actually warned the expert to remove the “0% at fault” line, pointing out that it made him look like a biased advocate rather than an objective expert.
• Discovery in Court: During the trial, opposing counsel noticed AI-generated formatting markers in the report. Under oath, the expert admitted to using ChatGPT. The court ordered his full chat history (over 350 pages) to be reviewed into evidence.
• Damaging Findings: The chat history revealed that the expert had uploaded a photo of the gas detector—the very subject of his expertise—to ask ChatGPT what it was. It also showed he took breaks while drafting the wrongful death report to design custom t-shirts.
• Trial Outcome: The expert admitted during testimony that 85%–90% of the report was generated by ChatGPT. Ultimately, the jury awarded $61 million in damages and held 3M 30% responsible, costing the company significantly due to the expert’s reliance on AI.

AI pioneer Fei-Fei Li reveals why the future of artificial intelligence goes far beyond chatbots — and how her $1 billion startup, World Labs, plans to help shape what comes next.

What’s Beyond ChatGPT? The ‘Godmother of AI’ Has Big Plans (2026)

Artificial intelligence pioneer Fei-Fei Li, often called the “Godmother of AI,” sits down with Emily Chang to explore what could come after the age of chatbots. From her groundbreaking work in computer vision to the launch of her billion-dollar startup, World Labs, Li shares her vision for a new generation of AI capable of understanding and interacting with the physical world. A look at where artificial intelligence is heading — and why the next major breakthrough may go far beyond ChatGPT.

Earlier this year, Meta planned for AI to take over much of the daily work performed by thousands of human employees, and executives explored slashing the size of many teams by as much as 60%. But just hours before the first layoff wave, the CEO blinked. Reuters Tech Reporter Katie Paul reports.

The CEO of Robinhood discusses his perspective on the current economic climate, balancing concerns about low productivity, national debt, and potential geopolitical conflicts with optimism regarding the transformative potential of artificial intelligence and technological innovation. He advocates for increased access to financial markets, suggesting that regulations like age restrictions for investing and the accredited investor rule create barriers that prevent younger and non-wealthy individuals from building wealth and learning essential financial lessons early on.

The discussion highlights his vision for a multigenerational financial platform that enables broad participation in the economy. He expresses concern that technologies like AI may exacerbate wealth inequality by centralizing power, emphasizing the need for wider public participation in capitalism to maintain societal stability. Ultimately, he argues that the U.S. can foster a flourishing economy by embracing technological shifts, attracting global talent, and ensuring that more people are actively invested in the growth of American companies.

The website remains the ultimate front door for high-stakes customer decisions. In this episode of Frontier CMO from Think with Google, Knotch CEO & Co-Founder Anda Gansca shares a strategic playbook for modern marketing leaders looking to move past vanity metrics and drive real digital retention.

In this video, Saarim Asady breaks down LinkedIn’s major algorithm update, which replaced hard-coded rules with an AI-driven system. Rather than relying on simple keywords or vanity metrics, the new AI scans your entire profile and content to deliver posts directly to your target audience.

Key takeaways include:

• Quality over Reach: Overall views and impressions may decrease, but targeted reach will increase. Broad, generic posts dilute reach, while highly specific content helps the AI identify your ideal buyers.
• New Engagement Signals: The AI evaluates dwell time and scroll-stopping behavior rather than relying solely on traditional likes or comments.
• Profile Signaling: Your LinkedIn profile headline and content must clearly communicate who you serve and what outcomes you deliver to ensure the AI routes your profile to the right leads.
• Evaluating Success: Creators can verify if the algorithm is working by checking profile viewers or post engagers to ensure at least 50% match their target demographic.

Ultimately, the update turns LinkedIn into a hyper-targeted organic prospecting tool, favoring niche, high-value creators over viral, generic posts.

Palantir CEO Alex Karp opened the company’s second Sovereignty Bootcamp, where he explained what will happen if institutions fail to become healthier and stronger, and what the future competitive landscape will look like for the dominant sovereign players.

Sam Palmisano says the AI boom is built on long-cycle bets in data centers, chips and energy, even as AI software changes at breakneck speed. If adoption slows or cheaper Chinese open-source models gain traction, Big Tech may have to rethink the spending plans behind today’s AI race.

In this video I break down several different methods for how to actually Make money with AI video. There are so many guru type videos on this topic, but none show you methods that’s are actually sustainable. Especially with tools like seedance 2.0 ai video is reaching a level where it can easily be monetized. For this video i interview Chris branch to share his experience as an ai agency owner that has worked with brands like coca cola. We discuss the possibilities of ai video in this industry.