Coyote malware uses Windows UI Automation to target 75 banks and crypto sites in Brazil, risking credential theft.
Category: finance
AI vision, reinvented: Vision-language models gain clearer sight through synthetic training data
In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source systems like ChatGPT and Claude currently set the pace. But no one outside their makers knows how those models were trained or what data they used, leaving open-source alternatives scrambling to catch up.
Now, researchers at Penn Engineering and the Allen Institute for AI (Ai2) have developed a new approach to train open-source models: using AI to create scientific figures, charts and tables that teach other AI systems how to interpret complex visual information.
Their tool, CoSyn (short for Code-Guided Synthesis), taps open-source AI models’ coding skills to render text-rich images and generate relevant questions and answers, giving other AI systems the data they need to learn how to “see” and understand scientific figures.
“Your move, Tesla” — Waymo Swallows Tesla Robotaxi Service Area In One Gulp
Questions to inspire discussion.
🤝 Q: What are the potential issues with the Uber-Lucid-Neuro robotaxi partnership? A: The partnership is a “cluster f waiting to happen” due to independent entities involved, which typically end in a “messy divorce”, making it potentially uncompetitive against fully integrated solutions like Tesla’s.
🗺️ Q: How does Tesla’s robotaxi service area expansion compare to Waymo’s? A: Tesla expanded its service area in 22 days, while Waymo’s first service area expansion in Austin, Texas took 4 months and 13 days, demonstrating Tesla’s faster and more aggressive approach to expansion.
Business Viability.
💼 Q: What concerns exist about the Uber-Lucid-Neuro robotaxi partnership’s business case? A: While considered a “breakout moment” for autonomous vehicles, the business case and return on investment for the service remain unclear, according to former Ford CEO Mark Fields.
🏭 Q: What manufacturing advantage does Tesla have in the robotaxi market? A: Tesla’s fully vertically integrated approach and ability to mass-manufacture Cyber Cabs at a scale of tens of thousands per month gives it a significant cost-per-mile advantage over competitors using more expensive, non-specialized vehicles. ## Key Insights.
THIS Problem Prevents a MERGER Between X.AI and Tesla Stock
Questions to inspire discussion.
🏢 Q: What are Elon Musk’s current ownership stakes in Tesla and XAI? A: Musk owns 55% of XAI and 12.9% of Tesla, with potential to increase his Tesla ownership to 20% through a compensation package.
💰 Q: How do the valuations of XAI and Tesla compare? A: XAI’s valuation is expected to reach $200 billion in the next round, while Tesla’s valuation is approximately $1 trillion.
Potential Conflicts and Risks.
⚖️ Q: What conflict of interest exists for Elon Musk in a potential merger? A: Musk’s significant ownership in both companies creates a conflict of interest in merger discussions, as he must balance his interests in XAI (55% ownership) and Tesla (12.9–20% ownership).
🔒 Q: What control risk does Elon Musk face with Tesla? A: Musk currently lacks the 25% voting control needed for major decisions in Tesla, presenting a non-trivial control risk that could be mitigated through Tesla’s investment in XAI. ## Key Insights.
Elon Just Made Tesla Unstoppable
Questions to inspire discussion.
🚀 Q: How might Elon Musk’s diverse projects contribute to Tesla’s value? A: Musk’s involvement in AI, energy, transportation, and communication through projects like Tesla, SpaceX, and Neuralink demonstrates his capacity to make progress on multiple fronts, potentially creating significant value for Tesla.
Political Involvement and Economic Strategy.
🏛️ Q: Why is Elon Musk getting involved in politics? A: Musk’s political involvement aims to create a better political system on Earth, addressing the unsustainability of US government spending and debt to avoid a fiscal doom loop.
📊 Q: What is Musk’s strategy to improve the US economy? A: Musk plans to accelerate GDP growth through AI-driven growth, humanoid bots, and reducing government spending and waste, potentially breaking free from the constant 7% growth line of the US stock market.
💰 Q: How could reducing government spending benefit the economy? A: By cutting wasteful spending and implementing a balanced budget requirement, the US could potentially grow its economy faster than its spending, reducing interest costs and freeing up money for other investments.
Rivian CEO Exposes Legacy Automaker EV Lies
Rivian CEO RJ Scaringe claims that legacy automakers are intentionally slowing down electric vehicle adoption and hindering competition to protect their profits from gas-powered vehicles, which could threaten their survival and allow newer EV makers like Rivian and Tesla to dominate the market ## ## Questions to inspire discussion.
Legacy Automakers and EVs.
🚗 Q: Why are legacy automakers resistant to selling EVs? A: Legacy automakers don’t want to sell EVs because they make good margins on low-efficiency gas cars and can sell them at a premium price, preferring to see the EV market disappear.
🏛️ Q: How are legacy automakers fighting against EV policies? A: Legacy automakers are the biggest adversaries of EV policies, spending the most energy fighting against them in DC, reflecting their desire for the EV market to vanish. Rivian’s Challenges and Strategy.
💰 Q: What financial challenge does Rivian face? A: Rivian has a massive $23 billion debt, making it more indebted than any startup has ever been, requiring 10–20 years to become cash flow positive.
🛻 Q: How is Rivian addressing its product pricing? A: Rivian’s R2 electric truck, launching in 2025, will target a **$45,000 starting price, a strategic move to make their products more accessible.
The Dawn of Tesla’s Robotaxi Network & Automated Transportation
Tesla’s launch of a robo-taxi network marks the beginning of a significant transportation disruption that will transform mobility, economy, geopolitics, and urban landscapes with the widespread adoption of electric autonomous vehicles ## ## Questions to inspire discussion.
Transportation Revolution.
🚗 Q: How will Tesla’s Robotaxi network impact transportation? A: Tesla’s Robotaxi network in Austin, Texas marks the ignition point for transportation disruption, with multiple companies competing to provide taxi rides without human drivers, potentially capturing 80–90% market share in 10–15 years.
🛢️ Q: What industries will be disrupted by autonomous electric vehicles? A: Autonomous electric vehicles will disrupt the oil and agriculture industries, as vehicles are the number one users of crude oil, and corn is the top agricultural product in the US, used to produce ethanol for gasoline.
🌆 Q: How will urban planning change with the rise of autonomous vehicles? A: Cities will repurpose parking spaces for retail, living areas, and solar panels, transforming urban planning and enabling new forms of transportation, including drones and aircraft.
Environmental Impact.
Zombie fabs plague China’s chipmaking ambitions, failures burning tens of billions of dollars
Many Chinese semiconductor fab projects failed due to a lack of technical expertise amid overambitious goals: some startups aimed at advanced nodes like 14nm and 7nm without having experienced R&D teams or access to necessary wafer fab equipment. These efforts were often heavily reliant on provincial government funding, with little oversight or industry knowledge, which lead to collapse when finances dried up or scandals emerged. Some fab ventures were plagued by fraud or mismanagement, with executives vanishing or being arrested, sometimes with local officials involved.
To add to problems, U.S. export restrictions since 2019 blocked access of Chinese entities to critical chipmaking equipment required to make chips at 10nm-class nodes and below, effectively halting progress on advanced fabs. In addition, worsening U.S.-China tensions and global market shifts further undercut the viability of many of these projects.
So, let’s go over some of China’s most ambitious fab projects, many of which have fallen into oblivion, or have become a dreaded zombie fab.
Record financing for Proxima Fusion
The Munich-based start-up Proxima Fusion, a spin-out from the Max Planck Institute for Plasma Physics, has raised €130 million in capital. The company plans to use the funds to finance the development of the world’s first stellarator-based fusion power plant, which is scheduled to be built in the 2030s. The investment represents the largest private financing round in the field of fusion energy in Europe to date. Proxima Fusion now has a total of more than €185 million in public and private funding at its disposal.