in comparative mythology, there is the archetype of the child god that re-emerges across time. it is possible, and indeed likely, that the “primordial child of great power” can be an object of worship even if it displays the characteristics of being “cute”

Meet Gemini 3.5 Flash — our strongest agentic and coding model yet. It delivers frontier-level performance at 4x the speed of comparable frontier models — often at less than half the cost. Generally available, starting today. 🧵 #GoogleIO#

Retail investors are piling into equities at a historic pace: Cumulative retail equity inflows year-to-date are tracking above every comparable period over the last 7 years, except 2021. After a brief pause in March, retail purchases surged in April to a level seen only 13% of the time in monthly data since 2019. In the week ending May 1st, retail purchases ranked in the top 2% of all weekly inflows recorded since 2019. At this pace, cumulative purchases by individual investors will exceed the 2021 record by as early as July. Furthermore, the average daily volume of options traded by retail investors is up to 1.57x of January 2024 levels, the highest since the October 2025 record. Risk appetite among retail investors is accelerating.

BREAKING: NovaRed Mining’s Wilmac Project Is Nearly 3x the Size of Manhattan, Comparable to ~30,000 Football Fields - and Already Entering the Conversation as One of the Largest Emerging Copper Projects by Land Scale $NRED / $NREDF is becoming impossible to ignore. The company’s Wilmac Copper-Gold Project in British Columbia now spans: • 16,078 hectares • 160.78 km² • ~39,732 acres • Nearly 3x Manhattan Island • Roughly 30,000 football fields By land scale alone, Wilmac is already comparable to some globally recognized copper mining districts and large-scale projects. This is why many investors are beginning to view NovaRed as a potential mega-project in development rather than a typical junior exploration company. But the bigger differentiator may be the AI infrastructure behind the land package. NovaRed’s MetalCore AI platform is designed to integrate: • satellite imagery • geology • geochemistry • magnetic anomalies • geophysics • ownership records • predictive modeling into one mineral intelligence engine capable of identifying high-probability exploration targets at scale. And the market opportunity could be massive. There are roughly 77 million landowners in the United States controlling more than 1.3 billion acres of land — most of which has never been analyzed using modern AI-driven mineral discovery systems. At the same time, copper prices are surging toward historic highs as demand accelerates from: AI infrastructure, hyperscale data centers, robotics, EVs, defense systems, transformers and global electrification. Recent North Lamont results reported copper values up to 379 ppm Cu alongside porphyry indicators and magnetic anomalies, with additional geophysical work already underway. Still early-stage. Still speculative. But by land scale, AI vision and exposure to the copper supply chain, this is becoming a very serious story to add to your watch list. DYOR! Do your work ! Do your own research ! Don’t rely on this information ! Everybody can lose in stocks !

Empirical data show that black individuals raised in affluent households (top income/wealth percentiles) experience incarceration rates comparable to or exceeding those of white individuals from low-income or working-class backgrounds. It’s not poverty, actually.

Jensen Huang is angry and the numbers explain exactly why (Save this). This clip is his response to two specific arguments that have been used to justify restricting Nvidia's access to global markets and he is not being diplomatic about either of them. The first argument he calls stupid is that GPUs are comparable to atomic bombs. His rebuttal is that there are a billion people using Nvidia GPUs right now, they are inside every medical imaging system on the planet, they were used in the CT scan he got the day before this interview, and he advocates them to his own family. You cannot make that statement about atomic bombs, and the moment you accept the analogy, Huang says, you cannot finish any coherent thought that follows from it. The second argument he calls completely ridiculous: that American companies should not compete internationally because they will lose anyway. His response is the one that landed, "If you guys all apply that same philosophy, why wake up in the morning?" It sounds like a motivational line, but it is actually a specific policy argument that maps onto a catastrophic real-world outcome that has already partially occurred. Nvidia's share of the AI accelerator market in China went from 95% to zero. Because US export controls made it impossible for Nvidia to sell, and by the time Washington partially reversed course and approved H200 exports, Beijing had already launched security investigations into those chips, DeepSeek had announced a pivot to Huawei hardware, and Chinese customers had begun rebuilding their pipelines around domestic alternatives. China represents what Huang called a $50 billion market opportunity. Nvidia has now walked away from $15 billion in lost sales, took a $5.5 billion inventory write-down in a single quarter when the H20 ban hit, and projected an $8 billion revenue loss in the subsequent quarter, all while the market it was excluded from accelerated its own chip ecosystem in direct response to being cut off. Huang's point is not that national security does not matter. His point is that the defeatist logic, "you're going to lose it anyway, so why compete" is self-fulfilling in a way that pure restriction advocates never account for. Every restriction that pushes China toward technological self-reliance is a restriction that permanently reduces American leverage, permanently shrinks American market opportunity, and permanently accelerates the development of the exact domestic alternatives the policy was meant to prevent. And Nvidia, with a $5.4 trillion market cap and zero percent China revenue, is the most visible proof of what that trade-off actually costs.

In an advanced-node production line (e.g. CoWoS, CoPoS), Applied Materials' cumulative equipment installed value can be at least comparable to ASML’s total installed value. Yet, $AMAT currently has 1/2 the market value of $ASML.

🇯🇵 Real estate in Japan was incredibly expensive during the Japanese Bubble Era. Tokyo real estate could sell for as much as US$139000 per square foot, making it roughly 350 times more expensive than comparable space in Manhattan.

BlackRock is trying to recoup money it’s owed on a private credit loan in China, setting up a test for how Asia’s burgeoning reputation as a comparatively safer market for such deals will play out in reality