Crash Expert: “This Looks Like 1929” → 70,000 Hedging Here
Mark Spitznagel, who made $1B in a single day during the 2015 flash crash, warns markets are mimicking 1929. Yeah, just another oracle spouting gloom and doom, right?
Vanguard and Goldman Sachs forecast just 5% and 3% annual S&P returns respectively for the next decade (2024-2034).
Bonds? Not much better.
Enough warning signals—what’s something investors can actually do to diversify this week?
Almost no one knows this, but postwar and contemporary art appreciated 11.2% annually with near-zero correlation to equities from 1995–2024, according to Masterworks Data.
And sure… billionaires like Bezos and Gates can make headlines at auction, but what about the rest of us?
Masterworks makes it possible to invest in legendary artworks by Banksy, Basquiat, Picasso, and more – without spending millions.
23 exits. Net annualized returns like 17.6%, 17.8%, and 21.5%. $1.2 billion invested.
Shares in new offerings can sell quickly but…
*Past performance is not indicative of future returns. Important Reg A disclosures: masterworks.com/cd.
Trump's Genesis Mission: A Historic AI Mobilization for Scientific Discovery
The Genesis Mission represents the most ambitious marshalling of federal scientific resources since the Apollo program, according to Michael Kratsios, the White House's Assistant to the President for Science and Technology. Signed into executive order on November 24, 2025, President Trump's initiative consolidates 17 Department of Energy national laboratories into a unified, AI-driven research ecosystem designed to fundamentally compress scientific discovery timelines.
The core infrastructure centers on the American Science and Security Platform, a closed-loop AI experimentation system that integrates the nation's most powerful supercomputers, decades of federally curated scientific datasets, and autonomous research capabilities. This represents an unprecedented convergence of computational resources and institutional knowledge across biotechnology, advanced manufacturing, critical materials, semiconductors, nuclear fusion, and quantum science.
The initiative's most striking promise involves timeline compression from years to days or even hours. Kratsios emphasized that the technology "will use AI to automate experiment design, accelerate simulation and generate protective models for everything from protein folding to fusion plasma dynamics," fundamentally enabling researchers to "test bolder hypotheses and discover breakthroughs currently unreachable." Within 270 days, the administration must demonstrate initial operating capability on at least one national challenge.
Energy Secretary Chris Wright framed Genesis as economically vital, stating the effort aims to "bring more energy on, make our electricity grid more efficient and reverse price rises that have infuriated American citizens." This directly addresses surging electricity costs tied to AI infrastructure expansion—a politically sensitive issue after Democratic victories in recent gubernatorial races centered on energy affordability.
The structured implementation timeline reveals governmental commitment: within 60 days, the DOE must identify at least 20 national science and technology challenges; within 90 days, federal computing resources must be catalogued; by day 120, initial datasets and model assets must be prepared; and day 240 requires reviewing AI-directed experimentation capabilities across national labs.
The executive order explicitly frames Genesis as "comparable in urgency and ambition to the Manhattan Project," drawing direct parallels to WWII's atomic weapons development. This rhetorical positioning underscores how the Trump administration views AI competition against foreign powers as a national security imperative requiring whole-of-government mobilization.
Private sector collaboration through partnerships with NVIDIA, Dell, HPE, and AMD provides commercial computing resources alongside government infrastructure. However, the order emphasizes stringent cybersecurity protocols and intellectual property protections, recognizing Genesis's role in protecting national security data and research assets.
The initiative's success depends on whether 17 historically independent national laboratories can operate cohesively under unified AI governance—a structural challenge previous initiatives like the National Quantum Initiative encountered.