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DeFi Teddy
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DeFi Teddy
12-27
"A Meta Programmer with a $450,000 Annual Salary Became Homeless After Six Months" This isn't a joke; it's a true story unfolding in Silicon Valley. According to AI media outlet [New Zhiyuan]: A senior programmer at Meta, with 12 years of experience and an annual salary of $450,000, became homeless after only six months of unemployment. Here's how things spiraled out of control: • Sudden company layoffs → Zero income • High mortgage payments in Silicon Valley → Cash flow crisis • Mortgage default → Foreclosure • $60,000 emergency room visit → Limited health insurance coverage • Credit cards maxed out → Credit history ruined • Damaged credit → Rejected rental offers • No fixed address → Companies refused interviews • Job search completely disrupted → Homelessness From "elite programmer" to "social outcast," it only took six months. Media reports may be somewhat exaggerated, but the underlying truth is harsh: 1️⃣ The high cost of living in modern society is itself an "invisible death knell." 2️⃣ AI is devouring white-collar jobs, with programmers bearing the brunt. 3️⃣ The wave of unemployment brought about by AI may have only just entered its first phase. So what should ordinary people do? Personally, I believe that becoming a "super individual" is a worthwhile path: ① Build personal influence through social media For example, this guy could easily start an account on X, sharing his 12 years at Meta: Real experience + industry insider information = natural traffic. ② Create a small, high-quality paid product using Vibe Coding No need to pander to employers or wait for offers; Serving only a small group of users can still lead to a good life. What do you think? If it were you, how would you cope with this wave of AI impact?
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DeFi Teddy
12-26
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"7 Crypto Black Swan Events to Watch Out For in 2026" Biteye's editors have put a lot of effort into summarizing institutional predictions for 2026, which basically represent the institutional consensus on the market. However, once a consensus is established, it doesn't help with price predictions because current prices already reflect that consensus. After a conversation with Grok, we summarized the accuracy rate of institutional predictions over the past four years. The average accuracy rate is only 37%, meaning roughly two out of three predictions are wrong. Why is the accuracy rate so low? Because cryptocurrencies are often susceptible to black swan events, once consensus is broken, all judgments are overturned. I've summarized the crypto black swan events we must be wary of in 2026: 1. A breakthrough in quantum computing leads to a collapse in Bitcoin confidence and a price crash. 2. An unexpected interest rate hike by the Federal Reserve causes a significant correction in Bitcoin as a risk asset. 3. The midterm election results lead to a pro-crypto Congress, shifting crypto policy. 4. The failure of the Clarity bill, a US crypto market structure bill, slows institutional adoption of crypto. 5. USDT de-pegging due to reserve issues or a banking crisis triggers a chain reaction, destroying confidence in the stablecoin industry. 6. Large DeFi protocols are attacked, amplifying to RWA, causing systemic risk. 7. AI technology experiences its second revolutionary leap after ChatGPT, gaining full attention from the capital markets, further neglecting Web3. Do you think this is just unnecessary worry? twitter.com/DeFiTeddy2020/stat...
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DeFi Teddy
12-25
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"Some Mind-Bending Thoughts on Prediction Markets" 1. Besides speculation, what is the positive value of prediction markets? The stock market, through market pricing, allows high-value companies to achieve high market capitalization, i.e., "value discovery," thereby optimizing capital allocation. Prediction markets, on the other hand, achieve "truth discovery" through the probability of predictions, bringing society closer to the truth. 2. What is the relationship between prediction and truth? In the stock market, the relationship between price and value is that price fluctuates around value, consistently mirroring it in the long run. In prediction markets, the relationship between prediction and truth is that as time progresses, predictions get closer to the truth, until the moment the truth is revealed, achieving complete consistency. 3. What impact does insider trading have on prediction markets? Here's a strange paradox: on the one hand, insider trading is unfair to other participants; on the other hand, insiders can help prediction markets. For example, before the official announcement of the Nobel Prize, a sudden change in the probability of predictions reveals the winner, acting faster than the media and playing a role in "truth discovery." Prediction market platforms and governments have begun developing rules and policies to regulate insider trading. 4. Why do prediction markets need blockchain? This question is similar to, "Why does finance need blockchain?" The reason is greater openness and transparency, which attracts more participants and makes it easier to build an open ecosystem. For example, insider trading can be monitored and analyzed via on-chain wallets (there are already many such monitoring platforms that can pinpoint suspicious insider trading activities, and anyone can analyze them, greatly enhancing platform trust. Trust is core in finance). 5. The Size and Development Potential of the Prediction Market With the US clearing obstacles to the compliance of prediction markets, the industry is now entering a golden age of rapid development. Currently, the daily trading volume of the polymarket is around $100-200 million, reaching 2% of Binance's spot trading volume. In an era where everything can be traded, trading institutions such as Binance, Coinbase, Robinhood, and Interactive Brokers are all striving to establish themselves in the prediction market, none wanting to overtake others in this new arena. After all, this is a new "trading species." The following article analyzes BNB's strategy in the prediction market, offering some opportunities for retail investors to participate. You can take a look. twitter.com/DeFiTeddy2020/stat...
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