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Elon Musk Holds Surprise Talk At The World Economic Forum In Davos

The musk blueprint: navigating the supersonic tsunami to hyperabundance when exponential curves multiply: understanding the triple acceleration.

On January 22, 2026, Elon Musk sat down with BlackRock CEO Larry Fink at the World Economic Forum in Davos and delivered what may be the most important articulation of humanity’s near-term trajectory since the invention of the internet.

Not because Musk said anything fundamentally new—his companies have been demonstrating this reality for years—but because he connected the dots in a way that makes the path to hyperabundance undeniable.

[Watch Elon Musk’s full WEF interview]

This is not visionary speculation.

This is engineering analysis from someone building the physical infrastructure of abundance in real-time.

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The AIs of 2026 Will be Wild!

What if the AIs of 2026 don’t just assist humans—but outthink, outcreate, and outpace them? This video breaks down why experts are calling the next wave of artificial intelligence “wild,” unpredictable, and unlike anything we’ve seen before.

From autonomous AI agents that can run businesses to models that learn continuously without retraining, 2026 is shaping up to be the year AI crosses invisible psychological and technological lines. We explore the breakthroughs most people aren’t paying attention to—and why they matter more than flashy demos.

You’ll discover how AI reasoning, memory, creativity, and decision-making are evolving fast, and why this shift could quietly redefine work, power, and human relevance. These aren’t sci-fi concepts anymore—they’re already being tested behind closed doors.

This video also reveals the hidden risks, ethical tensions, and control problems emerging as AI systems become less tool-like and more independent. By the end, you’ll understand why 2026 may be remembered as the year AI stopped feeling artificial.

What will AI be capable of in 2026? Why are experts worried about next-generation AI? How will AI change jobs and creativity? Are autonomous AI agents dangerous? Is AI evolving faster than humans can adapt?

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Filling the Most Common Gaps in Google Workspace Security

Security teams at agile, fast-growing companies often have the same mandate: secure the business without slowing it down. Most teams inherit a tech stack optimized for breakneck growth, not resilience. In these environments, the security team is the helpdesk, the compliance expert, and the incident response team all rolled into one.

Securing the cloud office in this scenario is all about finding leverage: identifying the strategic control points that drive the most resilience without adding operational overhead.

Google Workspace provides an excellent security foundation, but its native tooling has inherent limitations, and relying on the default configurations can cause headaches. To build a truly resilient program, there are some common-sense first steps teams can take to secure Workspace natively, before intelligently augmenting the platform where its capabilities fall short.

Ben & Marc: Why Everything Is About to Get 10x Bigger

The media and tech landscape is undergoing a significant transformation driven by advancements in AI, technology, and new structures, enabling entrepreneurs and companies to achieve exponential growth and innovation ## ## Questions to inspire discussion.

Building Your Own Platform.

🚀 Q: How can writers escape traditional media constraints? A: Launch on decentralized platforms like Substack where you build your own brand and business as a “non-fungible writer”, potentially creating organizations 10x larger than traditional media companies you’d work for.

💰 Q: What makes writer-led platforms attractive investments? A: Platforms become cornerstone franchises when writers only succeed by making the platform successful, creating aligned incentives that generate significant returns while enabling top talent to build independent businesses.

📊 Q: What content opportunity exists in decentralized media? A: A barbell market is emerging with mainstream filler content on one end and massive untapped demand for high-quality niche content on the other, creating opportunities across various specialized domains.

Leveraging AI for Business.

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OpenAI May Be On The Brink of Collapse

OpenAI is facing a potentially crippling lawsuit from Elon Musk, financial strain, and sustainability concerns, which could lead to its collapse and undermine its mission and trust in its AI technology ## ## Questions to inspire discussion.

Legal and Corporate Structure.

🔴 Q: What equity stake could Musk claim from OpenAI? A: Musk invested $30M representing 60% of OpenAI’s original funding and the lawsuit could force OpenAI to grant him equity as compensation for the nonprofit-to-for-profit transition that allegedly cut him out.

⚖️ Q: What are the trial odds and timeline for Musk’s lawsuit? A: The trial is set for April after a judge rejected OpenAI and Microsoft’s dismissal bid, with Kalshi predicting Musk has a 65% chance of winning the case.

Funding and Financial Stability.

💰 Q: How could the lawsuit impact OpenAI’s ability to raise capital? A: The lawsuit threatens to cut off OpenAI’s lifeline to cash and venture capital funding, potentially leading to insolvency and preventing them from pursuing an IPO due to uncertainty around financial stability and corporate governance.

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Microsoft Just Dropped New AI That Makes Decisions Better Than Humans

Microsoft just introduced OptiMind — a new AI system that turns plain English decision problems into solver-ready optimization models. Instead of needing an expert to manually convert business intent into MILP math, OptiMind generates the full mathematical formulation plus executable Python code using GurobiPy. The result: faster, cheaper optimization workflows for logistics, scheduling, manufacturing, and supply chains — with major accuracy gains on cleaned, expert-validated benchmarks.

📩 Brand Deals & Partnerships: [email protected].
✉ General Inquiries: [email protected].

🧠 What You’ll See.
0:00 What Microsoft OptiMind Really Is.
1:43 From Text to Optimization Code (MILP + Gurobi)
2:59 OptiMind Architecture: MoE and 128K Context.
3:34 Open Source Under MIT License.
4:28 Training With Expert Hints and Clean Data.
6:02 53 Optimization Problem Classes.
8:38 Multi-Stage Solver-in-the-Loop Inference.
9:11 Self-Consistency and Auto Error Correction.
9:55 Performance vs GPT-o4 Mini and GPT-5
10:32 Limits, Safety, and Human Oversight.

🚨 Why It Matters.
Optimization is already the hidden engine behind supply chains, factories, routing, and scheduling — the problem is the translation step. Converting messy real-world requirements into correct MILP constraints takes rare experts and days of work. OptiMind targets that exact gap: natural language in, solver-ready decisions out. This is why it’s going viral — it’s not just AI text generation, it’s AI generating decisions.

#AI #Microsoft #OptiMind

What Is Manus? The AI agent that made Meta make a billion-dollar move

Meta Platforms is making one of its boldest moves yet in the global artificial intelligence race. The social media giant has agreed to acquire Manus, a fast-growing AI startup based in Singapore, as it looks to turn years of heavy spending on artificial intelligence into real, usable products and revenue.

For Meta founder and CEO Mark Zuckerberg, artificial intelligence is no longer just another technology experiment. It has become the company’s top priority. Meta is investing billions of dollars into hiring top researchers, building massive data centers, and developing powerful new AI models. The acquisition of Manus signals a clear shift from long-term research to tools that businesses and everyday users can start using now. Manus is best known for its AI agent, a type of software that can perform tasks on its own once given basic instructions. Unlike chatbots that need constant prompts, AI agents are designed to act more like digital employees. Manus’ agent can screen job resumes, plan travel itineraries, analyse stock data, and carry out research tasks with minimal human involvement.

This practical approach may be exactly what Meta needs. While the company has spent heavily on AI, investors have questioned when those investments would begin to generate meaningful returns. Manus already operates on a subscription model and had an annual revenue run rate of about 125 million dollars earlier this year. That gives Meta a ready-made product that can be sold to businesses almost immediately. The startup behind Manus is called Butterfly Effect. It was founded in China but later moved its headquarters to Singapore, a move that reflects a wider trend among Chinese tech companies seeking a more stable base amid rising tensions between China and the United States. Earlier this year, Butterfly Effect raised funding at a valuation close to 500 million dollars in a round led by US venture capital firm Benchmark. Meta has not disclosed the financial details of the acquisition.

Tesla Robotaxis, AGI Myths, and the Real Economics of the Musk Economy

Elon Musk’s ventures, particularly Tesla’s robotaxis and advancements in AI, are poised to revolutionize the economy and society, with significant potential for growth, discovery, and profound implications for the future ##

## Questions to inspire discussion.

Robotaxi Economics & Business Model.

🚖 Q: What determines robotaxi success beyond achieving autonomy? A: Success depends on unit economics, fleet scalability, and supply elasticity during peak demand, not who reaches autonomy first, with the ability to integrate privately owned vehicles into a single economic system being critical.

💰 Q: What margin advantage does Tesla’s robotaxi model have over competitors? A: Tesla projects 35% margins by 2030, significantly higher than Uber’s 7.9% and Waymo’s break-even margins, enabling rapid revenue growth.

📈 Q: What revenue growth is expected for Tesla’s robotaxi business? A: Tesla expects 4.4-5x growth in robotaxi revenue over the next 5 years, potentially greater due to untapped use cases like long road trips.

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Ingram Micro says ransomware attack affected 42,000 people

Information technology giant Ingram Micro has revealed that a ransomware attack on its systems in July 2025 led to a data breach affecting over 42,000 individuals.

Ingram Micro, one of the world’s largest business-to-business service providers and technology distributors, has over 23,500 associates, more than 161,000 customers, and reported net sales of $48 billion in 2024.

In data breach notification letters filed with Maine’s Attorney General and sent to those affected by the incident, the company said the attackers stole documents containing a wide range of personal information, including Social Security numbers.

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