Intercontinental Exchange (ICE), the owner of the New York Stock Exchange (NYSE), is preparing a structural shift in how US securities trade and settle. On Jan. 19, the company announced plans for a new platform for tokenized US-listed equities and… Read More »ICE’s Tokenized Cash Bet: Reshaping NYSE Settlement and the Hidden Risks Beneath
AI-assisted coding has moved from novelty to daily reality for many engineers. But as tools become more powerful, they are also becoming more expensive — and more constrained. In that environment, Block’s Goose, a free, local, open-source AI agent, is… Read More »Goose vs. Claude Code: How a Free Local AI Agent Challenges $200-a-Month Coding Tools
Bitcoin just lived through the kind of macro shock that should have been its moment to shine. Instead, as geopolitical risk flared and traditional havens ripped higher, the world’s largest crypto asset was the first thing sold. On Monday, Bitcoin… Read More »Bitcoin Buckles Under Tariff Shock While Gold Soars: What It Means for the ‘Digital Gold’ Narrative
Headline inflation data has been moving in the right direction, but the underlying price tape is getting messier. While Bitcoin traders watch CPI releases and Fed rhetoric, some of the most important signals for the next macro move are buried… Read More »Fertilizer Shock: How Rising Food Input Costs Could Reignite Inflation and Shape Bitcoin’s Next Move
The question “Are we in an AI bubble?” badly undershoots what’s actually happening. Treating AI as a single economic unit, destined either for glorious transformation or spectacular collapse, ignores how unevenly risk is distributed across the stack. The reality, drawn… Read More »Not One AI Bubble, But Three: How Wrappers, Models, and Infrastructure Will Deflate on Different Timelines
Bitcoin’s derivatives market just crossed an important structural milestone: for the first time, open interest in options has surpassed open interest in futures. By mid-January, Bitcoin options open interest climbed to roughly $74.1 billion, edging above about $65.22 billion in… Read More »Bitcoin Options Overtake Futures: How Institutional Hedging Is Squeezing Retail Leverage
Bitcoin was designed as a peer-to-peer electronic cash system outside the control of banks and governments. In 2026, however, the gravity in crypto is pulling in a different direction: into exchange-traded funds, regulated derivatives, banked stablecoins, and tokenized government debt.… Read More »Is TradFi Eating Crypto? ETFs, Regulation, and the Slow Death of Satoshi’s Decentralized Vision
NeurIPS has long been the place where new architectures, training tricks and evaluation benchmarks quietly change how real systems are built. The 2025 edition continued that pattern — but with a sharper message for anyone working on LLMs, agentic systems… Read More »NeurIPS 2025: Five Papers That Show Why AI Progress Is Now Systems-Limited
Prediction markets have spent years arguing they are information tools and financial instruments, not gambling apps with better UX. Tennessee just forced that argument into court. In early January, the state’s sports betting watchdog told Kalshi, Polymarket, and Crypto.com to… Read More »Tennessee Targets Kalshi and Polymarket: When Do Prediction Markets Become Illegal Sports Betting?
In most global markets, Bitcoin and Ethereum are the default entry points for both institutions and retail traders. South Korea is the outlier. There, XRP has emerged as the de facto trading chip — a kind of high-speed rail for… Read More »Why XRP Dominates South Korea’s Crypto Trading — And the Legal Loophole Behind It
In less than a year, Listen Labs has gone from a viral hiring stunt on a San Francisco billboard to a $500 million valuation on the promise that AI-run customer interviews can outpace—and eventually replace—traditional market research. For product leaders,… Read More »Listen Labs Bets That AI-Powered Customer Interviews Will Replace Traditional Market Research
Google researchers are proposing a different way to train AI systems for complex, long-horizon tasks—one that doesn’t revolve around endlessly sampling the next token. Their new technique, called internal reinforcement learning (internal RL), shifts the focus from what a model… Read More »Inside Google’s ‘Internal RL’: Steering LLMs’ Hidden Thoughts for Long-Horizon AI Agents