# Bubble Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Bubble", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Big Short Prototype: Trillion-Dollar AI Investment Started on the Wrong Path from the Beginning

Michael Burry draws a parallel between a 19th-century case study and modern AI development to argue that the current path of large language models (LLMs) is fundamentally flawed. He references an 1880 article from the Smithsonian about Melville Ballard, a deaf man who, without formal language, engaged in complex abstract reasoning about the origins of the universe, life, and God. This story demonstrates that true reasoning and understanding exist prior to and independent of language. Burry contends that by prioritizing language processing over the development of genuine reasoning capabilities, LLMs are merely creating sophisticated mirrors of data, not true understanding. They operate in an intermediate zone, simulating reasoning but lacking the innate rational capacity that precedes language. This "language-first" approach, driven by immense computational brute force, leads to inherent flaws like hallucinations and an inability to achieve real comprehension. The proposed solution is a shift towards a "reasoning-first" architecture, which would focus on compressing information and utilizing System 2 reasoning to drastically reduce computational needs. Burry suggests that true AI must pass a "Ballard Test": demonstrating rational thought without language. He concludes by linking this technological critique to a cyclical pattern of speculative investment booms, comparing the current AI hype to the 19th-century mining speculation in San Francisco, warning of an inevitable bust if the foundational approach isn't corrected.

marsbit03/02 06:57

Big Short Prototype: Trillion-Dollar AI Investment Started on the Wrong Path from the Beginning

marsbit03/02 06:57

OpenAI Is Turning AI into a Nuclear Arms Race That Ordinary People Can't Afford

In a record-breaking funding round, OpenAI has secured $110 billion, raising its post-money valuation to $840 billion. This investment, led by Amazon, NVIDIA, and SoftBank, marks the largest-ever private tech funding and signals a new phase in the global AI race—one defined by extreme capital concentration and geopolitical significance. The scale of funding dwarfs the GDP of many mid-sized nations and equals nearly half of NVIDIA’s annual revenue. It also accounts for more than half of all AI startup funding in 2025, accelerating an industry-wide arms race in compute, talent, and model development. This capital influx, however, risks widening the gap between giants and smaller players, potentially stifling innovation and increasing market consolidation. Strategic investors are not merely providing capital: Amazon’s $50 billion commitment includes an eight-year, $100 billion cloud expansion deal. SoftBank’s $30 billion staged investment serves as both a hedge and a bridge for future sovereign wealth entrants. NVIDIA’s $30 billion replaces an earlier partnership promise and effectively locks up its advanced GPU supply, creating a closed loop that sidelines competitors. Despite ChatGPT reaching 900 million weekly active users and 50 million paid subscribers, OpenAI’s burn rate remains high. It spent $0.62 for every dollar earned in 2025, with cumulative cash burn projected to hit $1150 billion by 2029. At the same time, its market share is eroding amid rising competition from Google’s Gemini and Musk’s Grok. Facing mounting financial pressure, OpenAI is eyeing a potential IPO in Q4 2026. The offering could mark either the peak of the AI investment bubble or the beginning of the AGI era—but for now, the world watches as OpenAI races against capital, competition, and time.

marsbit02/28 11:46

OpenAI Is Turning AI into a Nuclear Arms Race That Ordinary People Can't Afford

marsbit02/28 11:46

Buffett Indicator Soars, Bitcoin Stands at a Macro Crossroads

Bitcoin is at a critical macro juncture, navigating a "triple bubble" environment of extreme equity valuations, stressed real estate, and a rapidly growing private credit market. Its near-term price direction hinges on whether credit stress triggers a systemic liquidation or if policymakers intervene with supportive measures first. In a credit-driven crash, Bitcoin could drop 20-40% rapidly as leverage unwinds, liquidity vanishes, and ETFs see outflows—similar to March 2020. Conversely, clear policy support (like Fed liquidity expansion or falling real yields) would likely make Bitcoin a high-beta outperformer, rallying faster than traditional risk assets, as seen in March 2023. Current signals are mixed: high-yield spreads remain tight, the Fed’s balance sheet is expanding slowly, real yields are elevated (~1.80%), stablecoin supply is flat, and Bitcoin ETFs are seeing outflows. The market awaits a catalyst—either a credit event or a policy response. Monitoring key metrics—Fed asset changes, stablecoin supply, high-yield spreads, and real yields—provides a framework for anticipating Bitcoin’s next major move. Timing and macro liquidity conditions, rather than narrative, are now the dominant drivers.

marsbit02/26 09:37

Buffett Indicator Soars, Bitcoin Stands at a Macro Crossroads

marsbit02/26 09:37

Mechanism Capital Founder: Excessive Worry About Bubbles Is Foolish

Mechanism Capital founder Andrew Kang argues that excessive worry about market bubbles is misguided in the current technological landscape. He emphasizes that we are at a uniquely asymmetric moment in history, driven by exponential advancements in AI, robotics, energy, and other innovative fields. Short-term volatility and corrections are noise compared to the long-term transformative potential of these technologies. Kang predicts a near-future "singularity" with billions of AI agents, humanoid robots, space data centers, multi-planetary colonization, and revolutionary medical therapies. He states that the technological progress and economic growth compressed into the next 20 years will surpass the entirety of human history. Companies leveraging AI are already seeing order-of-magnitude improvements in productivity. Traditional valuation models are inadequate for pricing this unprecedented growth, which could reach "20-sigma" levels in historical statistical terms. The wealth creation will be extreme, and those without exposure will find it difficult to enter the market later. Kang advises adopting a long-term, exponential mindset and avoiding short-term trading, as the potential upside represents the largest asymmetric opportunity in history.

marsbit02/11 08:10

Mechanism Capital Founder: Excessive Worry About Bubbles Is Foolish

marsbit02/11 08:10

Wall Street Plunged into 'AI Phobia': An Indiscriminate Sell-off Is Spreading

Wall Street is experiencing a widespread "AI panic," triggering indiscriminate sell-offs across sectors perceived as vulnerable to AI disruption. The fear intensified recently when a tax-strategy tool from startup Altruist Corp. caused sharp declines in shares of major wealth managers like Charles Schwab, Raymond James, and LPL Financial. This reflects a broader market shift from focusing on AI winners to hastily dumping stocks of companies—from small software firms to large financial services—deemed at risk of being replaced by AI-driven products. Similar sell-offs occurred earlier in software, insurance, and asset management after AI companies like Anthropic and Insurify launched new tools. While some investors see this as an overreaction, citing the slow pace of technological adoption historically, others warn that AI’s rapid advancement is fueling legitimate anxiety. High market valuations have made stocks particularly sensitive to any negative signals, amplifying the volatility. The key uncertainty remains how quickly and deeply AI will reshape industries, leaving the market in a state of cautious speculation.

marsbit02/11 03:47

Wall Street Plunged into 'AI Phobia': An Indiscriminate Sell-off Is Spreading

marsbit02/11 03:47

FT Column: Bitcoin's 'La Haine' Moment - The Fall Doesn't Matter, the Landing Does

Bitcoin is experiencing its worst crash since 2022, plummeting toward $60,000 and erasing all gains made since Donald Trump’s re-election. The crypto community, known for its resilience and “cope” mentality, remains outwardly confident despite massive liquidations—over $1.25 billion in a single 24-hour period. Influential figures like Balaji Srinivasan and Michael Saylor continue to evangelize, citing political support and long-term optimism. However, the author argues that such faith is misplaced. Even with a pro-Bitcoin U.S. president and favorable policies, the sell-off persists, revealing the fragility of a market built purely on speculation and the “greater fool” theory. The piece draws a parallel to the film *La Haine*, using the metaphor of a falling man repeating “so far, so good” to illustrate the denial preceding an inevitable crash. The core question remains: when the faith vanishes and the fools run out, how will Bitcoin land?

marsbit02/09 06:40

FT Column: Bitcoin's 'La Haine' Moment - The Fall Doesn't Matter, the Landing Does

marsbit02/09 06:40

Forbes Editorial: The Most Accurate Short Signal in the Crypto World?

Forbes magazine covers have become an infamous bearish signal in the crypto world, often marking the peak of market cycles just before major crashes. The article highlights three key examples: 1. **CZ (2018)**: Featured on the cover during Bitcoin's downturn from its late-2017 high. Bitcoin fell 58% after the issue. 2. **SBF (2021)**: Called "crypto's most powerful man" before FTX collapsed 13 months later, wiping out billions. 3. **Michael Saylor (2025)**: Dubbed "The Bitcoin Alchemist" near Bitcoin's $104K peak. A year later, Bitcoin dropped 40%, and his company faced $6.5B in unrealized losses. The "magazine cover indicator" suggests mainstream media attention often coincides with market euphoria and impending reversals. While Sun Yuchen’s March 2025 cover briefly defied the trend (as Bitcoin continued rising), multiple crypto covers in quick succession were themselves a signal of overheated sentiment. The conclusion: bull markets don’t end in panic—they end on magazine covers. When a trend becomes too popular and even non-traders are talking about it, it may be time to reconsider positions.

marsbit02/06 09:45

Forbes Editorial: The Most Accurate Short Signal in the Crypto World?

marsbit02/06 09:45

Bitcoin Treasuries An ‘Explosion Waiting To Happen,’ Capriole Founder Warns

Capriole Investments founder Charles Edwards warns that the rapid growth of Bitcoin Digital Asset Treasury (DAT) companies—now numbering 200—is a "leverage explosion waiting to happen." Comparing DATs to the 1920s investment trust bubble, Edwards notes these firms, which hold 12% of all Bitcoin, face unsustainable model for yield on a fixed-supply asset. With many having bought at bull market prices, recent downturns have pressured their holdings. Edwards cautions that an unwind could dwarf the collapses of Luna and FTX. Bitcoin is trading around $74,500, down 16% over the past week.

bitcoinist02/05 14:41

Bitcoin Treasuries An ‘Explosion Waiting To Happen,’ Capriole Founder Warns

bitcoinist02/05 14:41

February 5 Market Summary: AMD Plunge Triggers Chip Stock Crash, Bitcoin Falls Below $73,000

Market Summary, February 5: A disappointing earnings report from AMD triggered a sharp sell-off in chip stocks, while Bitcoin fell below $73,000. AMD’s Q4 revenue and EPS beat expectations, but its Q1 guidance only slightly exceeded forecasts, disappointing investors who expected stronger AI-driven growth. Higher operating expenses also raised profitability concerns. AMD plunged 17%, dragging down the broader semiconductor sector. Broadcom, Micron, Lam Research, and Applied Materials all fell sharply. The iShares tech-software ETF dropped 4%, extending its weekly loss to 17%, as AI automation tools sparked fears about the future of SaaS business models. Bitcoin dropped to its lowest level since November 2024, closely tracking the sell-off in tech stocks. Crypto mining stocks tied to AI infrastructure, like Cipher Mining and IREN, also fell over 10%. In contrast, gold continued its rebound, rising over 2% to break $5,000/oz after Monday’s 6% surge – its biggest gain since 2008. Silver jumped 7% above $85. The rally was supported by bargain-hunting, central bank demand, and a weaker dollar. Key takeaways: Markets are growing concerned about AI’s profitability and soaring capital costs. Upcoming earnings from Google and Amazon, along with US-Iran talks, could dictate near-term direction.

marsbit02/05 02:37

February 5 Market Summary: AMD Plunge Triggers Chip Stock Crash, Bitcoin Falls Below $73,000

marsbit02/05 02:37

Five Years Later, Vitalik Overturns the Future He Set for Ethereum

Five years after championing Layer 2 (L2) scaling as Ethereum's future, Vitalik Buterin has dramatically reversed his position, declaring that L2s have largely failed to fulfill their original vision of "branded sharding." In a pivotal post, he argued that most L2 solutions remain highly centralized, reliant on multi-signature bridges and sequencers, and thus are not truly extending Ethereum's security or decentralization. The initial push for L2s was a survival response to Ethereum's cripplingly high fees and congestion during the 2021 DeFi and NFT boom, when competitors like Solana gained traction. However, despite massive venture funding—with projects like Arbitrum, Optimism, and Starknet raising billions—progress toward full decentralization (Stage 2) has been slow. Many operate more like centralized databases, prioritizing control and regulatory compliance over Ethereum's core values. Meanwhile, Ethereum itself has scaled significantly. Through upgrades like EIP-4844 and increased gas limits, L1 transaction fees have plummeted by over 99%, often costing just cents. This reduces L2's cost advantage and exposes their drawbacks: bridge vulnerabilities, fragmented liquidity, and complex user experiences. Vitalik now urges L2s to pivot from mere scaling to providing unique functional value—like privacy, ultra-fast finality, or application-specific optimizations—that L1 cannot easily offer. He reframes L2s as a spectrum of specialized "plugins" rather than essential scaling layers. This shift signals a market consolidation where only L2s with genuine utility and decentralization will survive, ending an era of inflated valuations and "ghost chain" projects. Ethereum is reclaiming its sovereignty by becoming scalable on its own terms.

marsbit02/04 05:52

Five Years Later, Vitalik Overturns the Future He Set for Ethereum