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Joined 3 years ago
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Cake day: September 13th, 2023

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  • Grok:

    Should I invest money in AI? Yes or no.

    Yes, but with caution and diversification

    Investing in AI can be a smart move given its explosive growth trajectory and transformative potential, but it’s not a blanket “yes” for everyone—especially if you’re risk-averse or new to the market. AI is projected to drive massive economic value, with global spending hitting nearly $1.5 trillion in 2025 alone, fueled by infrastructure like data centers and chips. Private investment reached a record $109.1 billion in the U.S. in 2024, outpacing rivals like China by 12x, and generative AI alone pulled in $33.9 billion. This isn’t hype; it’s backed by real adoption—88% of executives plan to boost AI budgets in the next year, with high performers seeing EBIT lifts of 5%+ through workflow redesigns and scaling. By 2026, AI could accelerate U.S. GDP growth to 2.25%, stabilizing labor markets and unlocking productivity gains across sectors like manufacturing and logistics.

    That said, the risks are real and mounting. AI stocks have soared on exuberance, but valuations are stretched—some trade at 50x revenue multiples, raising bubble fears akin to the dot-com era. Recent pullbacks in names like Nvidia highlight volatility, with concerns over whether massive capex (e.g., hyperscalers’ $300B+ spend in 2025) will yield quick profits. Job displacement could hit 100 million roles in the next decade, sparking recessions or social backlash, while concentration in mega-caps like NVDA adds systemic fragility. Geopolitical tensions (U.S.-China chip wars) and ethical issues like data privacy could trigger regulations that slow momentum.

    Quick Pros vs. Cons Breakdown

    Aspect Pros Cons
    Growth Potential $200B global AI investment by 2025; 18.7% YoY rise in gen AI funding. Returns lag: Most firms see <5% revenue boost so far; capex may not pay off soon.
    Market Momentum Deal values up 127% YoY; AI-native firms hitting strong ARR. Bubble risks: 45% of fund managers flag AI as top market threat; sharp selloffs ongoing.
    Long-Term Impact Reshapes industries (e.g., humanoid robots, agents); triples revenue/employee in exposed sectors. Volatility & ethics: High beta stocks; job losses, privacy regs could backfire.

    How to Invest Wisely (If You Do)

    • Diversify: Skip single stocks like NVDA (too concentrated—it’s 62% of some revenues). Opt for ETFs like BOTZ (robotics/AI) or IRBO (global AI) for broad exposure, reducing company-specific risks.
    • Focus on Fundamentals: Target “AI adopters” (e.g., diversified tech like MSFT, GOOGL) over pure creators for stability. Look for firms with clear ARR paths and ethical governance.
    • Risk Management: Allocate no more than 5-10% of your portfolio; hedge with gold or broad indexes (e.g., S&P 500) against bubbles. Rebalance quarterly.
    • Timeline: This is a 5-10 year play—AI’s full GDP impact may not hit until 2030.

    Ultimately, if your risk tolerance aligns with tech’s ups and downs (think 20-30% swings), yes—AI could be as disruptive as the internet. But consult a financial advisor, DYOR, and never invest what you can’t lose. Recent X chatter echoes this: Excitement around NVDA and TSLA fleets, but warnings on bubbles. What’s your timeline and risk level? That’ll tip the scales.

    Notably no mention of conflict of interest with Grok!








  • You only saw the tabs open on this workspace.

    But yeah I don’t have hundreds of tabs open. It is incompatible with my workflow. Only the “tabs” directly relevant to whatever is currently happening in the current workspace are kept open.

    A link either gets read or it doesn’t. If I don’t have time to read a link somebody sends me personally, I just tell them that. I don’t string anybody along about a link I know I will never read. I can’t allow for any link backlog. That leads to . . . dark places.

    Also, I don’t really use bookmarks either. When I disable search suggestions and use firefox suggest, it leave more space for history. It works so well I don’t really need to bookmark anything. Frequently opened sites make their way to the top on their own.




  • You will find no argument here about the problems that arise when corporations are not required to pay for the garbage they produce.

    However.

    Optimising incandescent lightbulb efficiency is actually not easy to do. It is easy to make a lightbulb that lasts literally forever, if you run it cooler. But if you do that, your power efficiency will be total shit. (And your light will be uncomfortably red, but let’s say that’s less important for now.) You will waste a lot of money on your electricity bill. There will come a point when you will be wasting more money on electricity than the lightbulb is worth. This breakeven point is difficult to determine. It is a calculation that the average consumer shouldn’t be burdened with.