Apple dropped a paper that challenges everything we believe about reasoning in AI. Titled “The Illusion of Thinking”, it reveals how models like Claude, and DeepSeek fail dramatically when faced with real logical complexity.
Monte Carlo Simulation Explained in 5 min
Monte Carlo Simulation leverages the mathematical foundation of statistics to generate a spectrum of potential future outcomes. In scenarios where complex systems can’t be described in an explicit formula, they help us to model the world in the way it truly is, giving us insights into what might happen, how likely it might happen, and what the worst case scenario looks like so we can prepare for the reality (or realities) of the future.
Chinese humanoid robot freaks out New Yorkers
Kurt ‘CyberGuy’ Knutsson discusses the Trump administration’s artificial intelligence plan and a humanoid robot experiment in New York City on ‘Fox & Friends.’
Sam Altman Shows Me GPT 5… And What’s Next
In the interview with Sam Altman by Cleo Abram, the CEO of OpenAI discusses the recent release of Chat GPT-5 and the future of artificial intelligence. The conversation explores the potential impacts of AI on society.
The Power and Capabilities of GPT-5
- Altman states that GPT-4 was the “dumbest model any of us will ever have to use again” and describes GPT-5 as “quite remarkable,” with much-improved capabilities in various tasks, including writing and coding.
- He highlights an example of using GPT-5 to recreate the game of Snake for a TI-83 calculator in seven seconds, demonstrating the model’s ability to create software almost instantaneously.
The Path to Superintelligence and Future Challenges
- Altman predicts that a large language model will make a significant scientific discovery within the next two years. He defines superintelligence as a system that can exceed human capabilities in almost every field.
- He discusses the blurring line between real and fake media, and acknowledges that some jobs will disappear, but believes that young people will have new opportunities for creation and innovation. He expresses more concern for older workers who may be less willing to retrain.
Key Limiting Factors in AI Development Altman identifies four main limiting factors for AI development:
- Compute: The demand for AI far outstrips the current supply of compute power.
- Data: Models are so advanced that they need to be taught how to discover new things and create their own new data.
- Algorithmic Design: Altman believes there are still many “orders of magnitudes of algorithmic gains ahead.”
- Product Integration: Scientific progress is limited if it isn’t integrated into products that people can use.
Reflections and Final Advice
- Altman notes the “vertigo-inducing” rate of change and the need for humility and new solutions.
- He believes that society has a shared responsibility in shaping the future and advises people to prepare for the future by using AI tools to get fluent with their capabilities.
GPT-5 has Arrived
GPT-5 will change how hundreds of millions of people use AI. Yes, you might have to forgive the chart crimes, the underwhelming livestream and Altman hype… But it’s a good model. I have read the 50 page system card in full, have the benchmark scores, coding tests, and things you might have missed.
The AI billionaire boom: Here’s what to know
CNBC’s Robert Frank joins ‘Squawk Box’ with a look at AI billionaires.
How AI Became the New Dot-Com Bubble
In 2025, 64% of U.S. venture capital funding targeted AI startups, with companies like OpenAI valued at $300 billion despite no profits or public trading. Tech giants Google, Amazon, and Meta spent over $400 billion on AI in 2024.
However, 70% of funded AI startups remain unprofitable, raising concerns of a possible AI bubble similar to the dotcom era. AI investments and salaries have surged, but productivity gains and market valuations show volatility.
Regulatory challenges and public skepticism persist. With projected AI investments reaching $7 trillion by 2030, the sustainability of this boom remains uncertain, paralleling past tech bubbles.
The Company That Shouldn’t Exist: How Yahoo Finance Lives On
They were supposed to vanish. The tech companies that once ruled the early internet, the portals, the dial-up giants, the banner-ad empires. One by one, they fell. Ask someone under 30 about Netscape, AltaVista, Ask Jeeves, and you’ll get a blank stare.
But there’s one name, one name that still whispers through Wall Street terminals, YouTube charts, and Reddit threads alike.
You won’t find Yahoo at the center of Big Tech today. It’s not disrupting industries. It’s not making headlines. But somehow, when you search for a stock, check a chart, or peek at the market, you’re still likely landing on Yahoo Finance.
So how did this happen? This is the story of a product that outlived a brand. Of a platform that was never the flashiest or the fastest, but always, just there.
The video explores the rise and fall of early old internet companies, showing how most faded away while one still lingers. It touches on themes of tech history and internet history*, showing that not all companies can survive the test of time. The *search engine wars were a brutal battleground.
How Used EV Batteries Are Being Turned Into Data Centers To Power AI
As demand for energy skyrockets amid the rise of AI, one of Tesla’s co-founders is betting on a new solution: giving old EV batteries a second life. JB Straubel, who helped launch Tesla and served as its CTO until 2019, founded Redwood Materials in 2017 to recycle batteries and build a closed-loop supply chain for electric vehicles. Now, Straubel is using EV batteries that still hold usable capacity for grid-scale energy storage. Redwood’s new energy division recently partnered with AI infrastructure company Crusoe to launch its first microgrid, showcasing how repurposed batteries can help power data centers. CNBC visited Redwood’s Nevada operations to see how the company has grown and to learn more about its plans to use second-life batteries to meet the surging energy needs of the AI era
The Future of AI Music Generation has Landed
Get ready to meet the new boss of AI music generation… who’s actually the old boss! In this video, I’m taking a first look at Producer AI, the evolution of the OG AI music tool, Riffusion. It’s got a whole new conversational workflow that feels like you’re co-writing with an AI, and I’m diving in to see what it can do.
From creating a summer pop anthem to generating a modern country song about hating modern country, we’re putting Producer AI to the test across a bunch of genres. We’ll even explore its hip-hop capabilities and make a stoner rock track inspired by Black Sabbath. I’ll walk you through the new features like the “Add Vibe” option, direct recording, and how you can customize the AI to your creative process.
Join me as we explore the future of music creation!