This Japanese AI startup just raised $100M to cut businesses’ admin burden.
Category: business – Page 3
Tesla’s Big Moves Just Changed EVERYTHING
Tesla is poised for massive growth in autonomy and investor opportunities driven by the expansion of its Full Self-Driving feature, robo-taxi fleet, and new model launches, signaling a significant shift in its business and valuation.
Questions to inspire discussion.
FSD and Robotaxi Rollout.
🚗 Q: What improvements are expected in Tesla’s FSD version 14? A: FSD v14 is anticipated to be 100-1000x better than v13, with 2 million miles between safety-critical disengagements, making it safer than human drivers.
WhatsApp patches vulnerability exploited in zero-day attacks
WhatsApp has patched a security vulnerability in its iOS and macOS messaging clients that was exploited in targeted zero-day attacks.
The company says this zero-click flaw (tracked as CVE-2025–55177) affects WhatsApp for iOS prior to version 2.25.21.73, WhatsApp Business for iOS v2.25.21.78, and WhatsApp for Mac v2.25.21.78.
“Incomplete authorization of linked device synchronization messages in WhatsApp […] could have allowed an unrelated user to trigger processing of content from an arbitrary URL on a target’s device,” WhatsApp said in a Friday security advisory.
The AI breakthrough that uses almost no power to create images
From creating art and writing code to drafting emails and designing new drugs, generative AI tools are becoming increasingly indispensable for both business and personal use. As demand increases, they will require even more computing power, memory and, therefore, energy. That’s got scientists looking for ways to reduce their energy consumption.
In a paper published in the journal Nature, Aydogan Ozcan, from the University of California Los Angeles, and his colleagues describe the development of an AI image generator that consumes almost no power.
AI image generators use a process called diffusion to generate images from text. First, they are trained on a large dataset of images and repeatedly add a statistical noise, a kind of digital static, until the image has disappeared.
Elon Musk’s Drops Hints About His Next Master Plan
Questions to inspire discussion.
AI and Supercomputing Developments.
🖥️ Q: What is XAI’s Colossus 2 and its significance? A: XAI’s Colossus 2 is planned to be the world’s first gigawatt-plus AI training supercomputer, with a non-trivial chance of achieving AGI (Artificial General Intelligence).
⚡ Q: How does Tesla plan to support the power needs of Colossus 2? A: Elon Musk plans to build power plants and battery storage in America to support the massive power requirements of the AI training supercomputer.
💰 Q: What is Musk’s prediction for universal income by 2030? A: Musk believes universal high income will be achieved, providing everyone with the best medical care, food, home, transport, and other necessities.
🏭 Q: How does Musk plan to simulate entire companies with AI? A: Musk aims to simulate entire companies like Microsoft with AI, representing a major jump in AI capabilities but limited to software replication, not complex physical products.
Why Meta Just Froze AI Hiring & What It Really Means
Questions to inspire discussion.
📊 Q: How often do these extreme job offers occur in the tech industry? A: These hundred-million-dollar job offers are rare occurrences and not representative of typical hiring practices in the tech industry, even during boom cycles.
🔄 Q: What does Meta’s hiring freeze suggest about the AI industry? A: Meta’s sudden shift from aggressive hiring to a freeze may indicate a potential cooling in the AI sector or a strategic reassessment of their AI investments and talent needs.
Strategic Considerations for Companies.
🏢 Q: Why are big tech companies making such large offers for AI talent? A: Large tech companies are making enormous offers to secure top AI talent due to perceived strategic vulnerability and the fear of falling behind in a rapidly evolving technological landscape.
🔍 Q: What should companies consider when competing for AI talent? A: Companies should evaluate the long-term sustainability of offering extreme compensation packages and consider the potential market shifts that could affect the value of AI talent investments.
What comes after agentic AI? This powerful new technology will change everything
Ten years from now, it will be clear that the primary ways we use generative AI circa 2025—rapidly crafting content based on simple instructions and open-ended interactions—were merely building blocks of a technology that will increasingly be built into far more impactful forms.
The real economic effect will come as different modes of generative AI are combined with traditional software logic to drive expensive activities like project management, medical diagnosis, and insurance claims processing in increasingly automated ways.
In my consulting work helping the world’s largest companies design and implement AI solutions, I’m finding that most organizations are still struggling to get substantial value from generative AI applications. As impressive and satisfying as they are, their inherent unpredictability makes it difficult to integrate into the kind of highly standardized business processes that drive the economy.
A look at the next big iteration of the transformative technology.
MIT’s 1972 collapse model updated: Humanity enters make-or-break decade
MIT’s 1972 global collapse warning revisited: Humanity enters make-or-break decade.
Nearly five decades later, sustainability analyst Gaya Herrington revisited World3 with fresh data. Her study, published in the Journal of Industrial Ecology in November 2020 and later shared by KPMG (where she then worked), compared several of the model’s scenarios with decades of empirical trends across variables such as population, fertility and mortality, industrial output, food production, services, non-renewable resources, persistent pollution, human welfare, and ecological footprint.
The aim was straightforward. After half a century, which of World3’s possible futures does the real world most resemble? Herrington found that the dynamics described in 1972 still fit the data “strikingly” well. In scenarios that keep growth as the primary goal, what the original authors called the “standard run” and what we’d now call “business as usual,” the model points to declines in industrial capital, agricultural output, and welfare within this century.
HUGE: Elon’s “Macrohard” AI — His CRAZIEST Idea Ever
Questions to inspire discussion.
Industry Disruption.
🏢 Q: How might traditional companies be affected by AI simulations? A: Traditional firms like Microsoft could see their valuation drop by 50% if undercut by AI clones, while the tech industry may experience millions of jobs vanishing, potentially leading to recessions or increased inequality.
🤖 Q: What is the potential scale of AI company simulations? A: AI-simulated companies like “Macrohard” could become real entities, operating at a fraction of the cost of traditional companies and disrupting markets 10 times faster and bigger than the internet’s impact on retail.
Regulatory Landscape.
📊 Q: How might governments respond to AI-simulated companies? A: Governments may implement regulations on AI companies to slow innovation, potentially creating monopolies that regulators would later need to break up, further disrupting markets.