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I vibe-coded an Android app using Google

In a hands-on experience, Google AI Studio's new "prompt to phone" feature allows users to generate functional Android apps using natural language prompts. The author created three apps in one afternoon: a text-based adventure game called MOOD, a calorie counter, and a Super Mario-style game featuring Peach. The process involved describing the app concept, letting Gemini AI generate the code and interface, and then installing it directly onto a connected phone. While the apps were generated and installed quickly, their quality varied significantly. The text adventure was simplistic and buggy, the calorie counter provided inaccurate data due to flawed logic, and the platformer was prone to crashes. The AI could efficiently fix specific, identifiable bugs through follow-up prompts. However, the experience highlighted that while AI can rapidly prototype "working" software, creating reliable, accurate, and polished applications still requires human oversight, judgment, and iteration. The tool dramatically lowers the barrier to entry for personal software creation but doesn't yet replace the need for developer expertise in the final stages of quality and refinement.

marsbit05/23 06:16

I vibe-coded an Android app using Google

marsbit05/23 06:16

Goldman Sachs Bows Down, Bitcoin Finally Breaks Through the Gates of Wall Street

Wall Street giants, including Goldman Sachs, Morgan Stanley, Charles Schwab, and the New York Stock Exchange, have reversed their long-standing opposition to Bitcoin and are now actively embracing it. After years of dismissing Bitcoin as a scam, a bubble, or a tool for illicit activities, these institutions are launching Bitcoin ETFs, enabling spot trading, and building dedicated crypto infrastructure. Goldman Sachs, which once called Bitcoin a "fraud tool," is now offering Bitcoin ETFs. Morgan Stanley, which internally banned the term "cryptocurrency," has launched its largest-ever ETF backed by Bitcoin. Charles Schwab has opened spot crypto trading for its retail clients, integrating Bitcoin alongside traditional assets. The NYSE is building robust infrastructure to support digital assets, signaling a long-term commitment. This dramatic shift is driven not by a change in ideology but by economic necessity. As Bitcoin repeatedly survived market crashes and grew into a multi-trillion-dollar asset class, ignoring it became too costly. Wall Street’s business model relies on capturing fees, and Bitcoin’s rise represented a massive wealth transfer occurring outside their ecosystem. The fear of missing out (FOMO) and client demand forced these institutions to capitulate. The article frames this as a historic surrender to Bitcoin’s mathematical inevitability. Unlike the trust-based traditional financial system, Bitcoin operates on decentralized, transparent, and unchangeable rules. Its scarcity and resilience make it a hedge against fiat currency devaluation and systemic risk. The narrative has flipped: not holding Bitcoin is now seen as the greater risk. The author concludes that Bitcoin has not been co-opted by Wall Street; instead, it has co-opted Wall Street, marking a fundamental shift in the global financial architecture.

marsbit04/24 01:27

Goldman Sachs Bows Down, Bitcoin Finally Breaks Through the Gates of Wall Street

marsbit04/24 01:27

AI Sweeps Everything, Why Are Crypto Builders the Most Secure?

In an era where AI is disrupting industries and causing widespread job displacement, crypto builders are uniquely positioned to thrive. While AI threatens to automate many white-collar and coding jobs, the crypto sector has forged individuals with exceptional adaptability, cross-domain expertise, and rapid learning capabilities. The real issue isn’t that crypto is dying—it’s that AI is commoditizing knowledge-based work globally. True value in AI is captured by infrastructure players like NVIDIA and OpenAI, not by those simply wrapping AI models. In contrast, crypto offers structural advantages: its community operates at high information density, tracks multiple innovation frontiers, and builds non-commoditizable tech like zero-knowledge proofs and quantum-resistant cryptography. Major players like Stripe, BlackRock, and Cloudflare are investing heavily in crypto infrastructure, signaling real-world demand. The future remains uncertain, but those who build through uncertainty—as seen in past technological revolutions—will define the next era. Crypto builders, equipped with a unique skill set and mindset, are among the best prepared to navigate and lead in the age of AI.

marsbit03/20 06:32

AI Sweeps Everything, Why Are Crypto Builders the Most Secure?

marsbit03/20 06:32

Bitcoin’s Network Distribution Factor Plunge Signals A Redistribution Event

Bitcoin's Network Distribution Factor (NDF) is declining sharply, indicating a significant structural shift in BTC supply distribution. The NDF measures the proportion of total supply held by large entities controlling at least 0.01% of circulating BTC. A falling NDF suggests reduced concentration among major holders and a broader redistribution of Bitcoin to smaller participants and new entrants. This trend often occurs during market maturation phases following bull cycles, reflecting stronger economic decentralization and reduced structural risk from over-concentration. It signals Bitcoin’s evolution into a more widely distributed global financial network. Additionally, Bitcoin’s fixed supply of 21 million and predominantly individual-owned circulating supply (approx. 63%) reinforce its role as a structurally scarce, decentralized asset resistant to institutional or governmental control.

bitcoinist02/22 13:02

Bitcoin’s Network Distribution Factor Plunge Signals A Redistribution Event

bitcoinist02/22 13:02

The Next Earthquake in AI: Why the Real Danger Isn't the SaaS Killer, But the Computing Power Revolution?

The next seismic shift in AI isn't about SaaS disruption but a fundamental revolution in computing power. While many focus on AI applications like Claude Cowork replacing traditional software, the real transformation is happening beneath the surface: a dual revolution in algorithms and hardware that threatens NVIDIA’s dominance. First, algorithmic efficiency is advancing through architectures like MoE (Mixture of Experts), which activates only a fraction of a model’s parameters during computation. DeepSeek-V2, for example, uses just 9% of its 236 billion parameters to match GPT-4’s performance, decoupling AI capability from compute consumption and slashing training costs by up to 90%. Second, specialized inference hardware from companies like Cerebras and Groq is replacing GPUs for AI deployment. These chips integrate memory directly onto the processor, eliminating latency and drastically reducing inference costs. OpenAI’s $10 billion deal with Cerebras and NVIDIA’s acquisition of Groq signal this shift. Together, these trends could collapse the total cost of developing and running state-of-the-art AI to 10-15% of current GPU-based approaches. This paradigm shift undermines NVIDIA’s monopoly narrative and its valuation, which relies on the assumption that AI growth depends solely on its hardware. The real black swan event may not be an AI application breakthrough but a quiet technical report confirming the decline of GPU-centric compute.

marsbit02/12 04:38

The Next Earthquake in AI: Why the Real Danger Isn't the SaaS Killer, but the Computing Power Revolution?

The next seismic shift in AI is not the threat of "SaaS killers" but a fundamental revolution in computing power. While many focus on how AI applications like Claude Cowork are disrupting traditional software, the real transformation is happening beneath the surface—in the infrastructure that powers AI. Two converging technological paths are challenging NVIDIA’s GPU dominance: 1. **Algorithmic Efficiency**: DeepSeek’s Mixture-of-Experts (MoE) architecture allows massive models (e.g., DeepSeek-V2 with 236B parameters) to activate only a small fraction of "experts" (9%) during computation, achieving GPT-4-level performance at 10% of the computational cost. This decouples AI capability from sheer compute power. 2. **Specialized Hardware**: Inference-optimized chips from companies like Cerebras and Groq integrate memory directly onto the chip, eliminating data transfer delays. This "zero-latency" design drastically improves speed and efficiency, prompting even OpenAI to sign a $10B deal with Cerebras. Together, these advances could cause a cost collapse: training costs may drop by 90%, and inference costs could fall by an order of magnitude. The total cost of running world-class AI may plummet to 10-15% of current GPU-based solutions. This paradigm shift threatens NVIDIA’s valuation, built on the assumption of perpetual GPU dominance. If the market realizes that GPUs are no longer the only—or best—option, the foundation of NVIDIA’s trillions in market cap could crumble. The real black swan event may not be a new AI application, but a quiet technical breakthrough that reshapes the compute landscape.

marsbit02/11 01:58

Ray Dalio Warns: History Is Repeating Itself, How Far Are We from Total Collapse?

Ray Dalio warns that the U.S. and global order are nearing a full-scale collapse, transitioning from Stage 5 (pre-collapse) to Stage 6 (active collapse) of his "Big Cycle" framework. Key drivers include severe wealth inequality, unsustainable debt, and intense political polarization. Historical patterns—like the 1930–1945 period—show that such conditions often lead to internal conflict, revolution, or civil war. Dalio identifies classic markers of collapse: government financial stress, loss of truth in public discourse, rising populism, and the erosion of rule-based systems. The recent killings of ICE protesters in Minneapolis exemplify escalating violence and state-federal tensions, signaling potential movement toward civil conflict. He emphasizes that without collaborative, productivity-focused reforms—rather than divisive policies—the system risks irreversible breakdown. The path forward requires leaders who prioritize broad prosperity over partisan victory, but the current trajectory suggests increasing fragility and conflict.

marsbit01/27 12:40

Ray Dalio Warns: History Is Repeating Itself, How Far Are We from Total Collapse?

marsbit01/27 12:40

You Should Still Believe in Crypto

The article "You Should Still Believe in Crypto" addresses the growing sense of burnout and disillusionment within the cryptocurrency industry, sparked by a post from Aevo co-founder Ken Chan titled "I Wasted 8 Years of My Life in Crypto." It acknowledges the collective fatigue many feel due to the industry's fast-paced, often speculative nature, where narratives shift rapidly, and projects frequently fail or disappear. However, the piece argues that the core value of crypto remains vital. It references Nic Carter’s response, highlighting crypto’s potential to create a more robust monetary system, encode business logic via smart contracts, establish true digital property rights, improve capital market efficiency, and enhance global financial inclusion. The article revisits Bitcoin’s origin as a peer-to-peer electronic cash system born from the 2008 financial crisis, emphasizing its purpose as a trustless, decentralized alternative to traditional finance. It points to real-world adoption in high-inflation countries like Argentina and Turkey, where Bitcoin and stablecoins serve as essential financial tools, and notes increasing institutional embrace from firms like BlackRock and Fidelity. Finally, it draws a parallel to the early internet era, arguing that despite chaos, failed projects, and speculative excess, the crypto industry—like the internet—is laying foundational groundwork for future technological and financial evolution. The conclusion is a call to persevere, recognizing that the collective efforts of developers, researchers, and builders worldwide are contributing to a transformative global shift.

marsbit12/13 06:53

Espresso Co-founder's Decade in Crypto: I Wanted to Disrupt Wall Street's Ills, But Witnessed a Casino-Fication Transformation

Jill Gunter, co-founder of Espresso, reflects on her decade-long journey in crypto, which began with the aim of addressing systemic flaws she witnessed on Wall Street. She identified three core issues: monetary mismanagement (e.g., hyperinflation in Venezuela), financial exclusivity perpetuated by Wall Street’s privileged access to high-risk opportunities, and outdated, opaque financial infrastructure. She saw Bitcoin and blockchain as solutions: a decentralized alternative to state-controlled money, a tool for democratizing finance, and a transparent, efficient system to replace legacy databases. However, the industry evolved unpredictably, cycling through hype cycles, regulatory shifts, and catastrophic failures like FTX. While crypto did democratize speculation—making finance more accessible—it also amplified "casino-like" risk-taking. Despite disillusionment among some pioneers, Gunter argues meaningful progress has been made: Bitcoin offers a censorship-resistant store of value, retail investors gained access to early-stage assets, and traditional finance is adopting blockchain for settlements and payments. The revolution arrived, albeit in a form different from what many envisioned.

深潮12/08 07:47

Espresso Co-founder's Decade in Crypto: I Wanted to Disrupt Wall Street's Ills, But Witnessed a Casino-Fication Transformation