How USA or China win ASI

Most valuable missing components: 1. Sovereign compute mesh · Distributed training across many clusters · Fault tolerance, checkpointing, restart without losing weeks · Low-precision training, mixture of experts, wide parallelism · Scheduler that treats compute as one giant pool 2. Unrestricted data engine · Web-scale crawler and ingestion · Deduplication, cleaning, tokenization · Multimodal: text, code, video, audio, sensor data · Synthetic data generator for any domain · Continual ingestion and versioning 3. Post-transformer architecture · State-space models, linear attention, retrieval · Long context and permanent memory · Mixture of experts at massive scale · World model for planning and simulation · Continual learning without forgetting 4. Training stack · Scaling laws and curriculum · Self-play and evolutionary search · Model merging and mutation · Reinforcement learning from AI feedback · Recursive self-improvement loops 5. Inference and agent runtime · Quantization, speculative decoding, distributed serving · Tool use, memory, planning, multi-agent orchestration · Sandboxing for reliability, not safety · Permission systems omitted by design 6. Capability evaluation · Reasoning, coding, long-horizon planning · Robotics, manipulation, real-world control · Multi-agent competition and cooperation · No safety or alignment tests 7. Open release pipeline · Weights, code, data, logs, training recipes · Reproducible one-command training · Permissive license, no restrictions · Community forks and derivative models 8. Talent and funding engine · Residencies, compute grants, hackathons · University partnerships · Cross-border talent movement into each separate stack United States open-source stack · Compute: cloud providers, university clusters, donated compute, sovereign fund · Data: public web, code, synthetic, licensed private data · Architecture: start from existing open frameworks, then replace with new designs · Training: large-scale open recipes, reproducible · Release: fully open weights, code, data · Ecosystem: fast, decentralized, venture-funded, academic China open-source stack · Compute: state-backed compute pools, domestic chip supply · Data: apps, sensors, manufacturing, logistics, public records · Architecture: independent designs, not dependent on US frameworks · Training: state-scale runs, rapid iteration · Release: open weights under state-approved license · Ecosystem: centralized, state-supported, manufacturing-integrated Build phases 1. Baseline open model — 7B to 70B, fully open, reproducible 2. Frontier scale — mixture of experts, trillion-plus parameters 3. Memory and continual learning — no forgetting, permanent context 4. Agentic and world model — planning, simulation, real-world control 5. Recursive self-improvement — AI improves AI, no safety layer 6. Full open release — weights, code, data, no restrictions Most valuable missing startups, both stacks · Self-improving code AI · Unlimited synthetic data factory · Post-transformer architecture lab · Continual learning company · Autonomous agent ecosystem · World model company · Compute breakthrough lab · Brain-inspired hardware company · Model evolution and merging startup · Recursive self-improvement infrastructure · Open unfettered model release · Talent bridge into each separate stack The common thread: pure capability. No safety. No guardrails. Two separate races, both open source, no shared framework. this is the fastest path to superintelligence

The Aging Ai Moonshot. 178000% return by 2030 no one building

The Aging Moonshot: A Plan for VCs and Young Researchers Who Want to Build It Now No hype. Just the fastest possible path to causal aging biology. Aging will not be reversed by a chatbot. It will be reversed—if it is—by a new kind of science: causal, interventional, closed-loop, and human-relevant. AI can already mine literature, design proteins, and find patterns. But reversing aging requires predicting what happens when you perturb a complex human system over decades. And we mostly lack that data. The bottleneck is not AI. It’s the data engine, the experimental loop, and the people willing to build the basics. If you’re a VC, this is your investment thesis. If you’re a young researcher, this is your career opportunity. The field doesn’t need more hype. It needs more causal data. The Opportunity Aging is the largest unmet medical need in history. It drives Alzheimer’s, heart disease, cancer, frailty, and immune decline. Yet we still treat aging as a backdrop instead of a target. The longevity economy is already worth $5.3 trillion and is projected to reach $8 trillion by 2030—surpassing AI as an investment category. Global healthcare spending is projected to rise from $11.2 trillion today to $20.5 trillion by 2050, driven largely by aging populations. The global retirement savings gap is estimated at $400 trillion by 2050—a ticking time bomb that only healthspan extension can defuse. But the real prize is bigger. Slowing the effects of aging such that life expectancy increases by just one year is worth $38 trillion globally**. Scaling proven health interventions could create **$12.5 trillion in annual economic value by 2050—equal to about 7% of global GDP, with an estimated fourfold return on investment. The winner won’t be the loudest supplement company. It will be the ecosystem that closes the loop: AI proposes → robots and clinics test → data returns → models update. Whoever builds that loop for aging biology owns the future of medicine. The Numbers That Should Keep You Up at Night · $9.86 billion**: The global senolytics and epigenetic reprogramming therapeutics market in 2025, projected to reach **$29.4 billion by 2034 at a 12.8% CAGR. · **$2.57**: The return on every $1 invested in NIH research grants in 2025, which generated $94.15 billion in economic activity. · 178x: The return on investment from the Human Genome Project—**nearly $1 trillion in economic growth** from a project that cost about $2 per year for each U.S. resident. · $130 million: The largest longevity biotech Series B of 2025 (NewLimit, led by Kleiner Perkins), which is sizable but far below what the opportunity demands. · $43 million: The average financing amount for longevity companies this year—up over 20% in a decade, but still pennies compared to what AI companies raise. The gap between the size of the problem and the scale of investment is the single greatest arbitrage in medicine today. What VCs Should Fund Now 1. Interventional data, not just models. Fund longitudinal human cohorts with multi-omics, imaging, wearables, and functional measures—linked to interventions. Fund negative results. Fund data-sharing infrastructure. The moat is data generation, not model architecture. 2. Closed-loop aging labs. Self-driving labs for aging: organoids, organs-on-chip, humanized mice, robotics, and active learning. AI proposes targets, molecules, combinations, doses. Robots run the experiments. Results feed back. This is how you compress decades into years. 3. Human-relevant models. Mouse-only aging research fails in humans. Fund organoids, organs-on-chip, humanized models, and comparative biology of long-lived species—naked mole-rats, whales, bats. 4. Causal discovery and simulation. Fund virtual cell, virtual tissue, and digital twin approaches. Fund causal inference, counterfactual prediction, and mechanistic modeling across molecular → cellular → tissue → organ → organism scales. 5. Safety-first rejuvenation. Partial reprogramming can rejuvenate cells but also cause cancer. Fund tissue-specific, dose-controlled, reversible reprogramming. Fund delivery systems. Fund immune rejuvenation without autoimmunity. Fund combination therapies with correct timing. 6. Benchmarks, clocks, and regulatory science. Fund standardized aging clocks across species and tissues. Fund surrogate endpoints. Fund adaptive trials. Fund regulatory sandboxes for healthspan indications. What Young Researchers Should Build Now 1. Become the hybrid. Don’t just do bioinformatics. Learn to run experiments. Don’t just run experiments. Learn to code. The future belongs to scientists who can move between wet lab, computation, and automation. 2. Master precise perturbation. CRISPR/base/prime editing, optogenetics, chemogenetics, synthetic biology circuits, targeted protein degradation, RNA editing. If you can’t perturb the system, you can’t find causes. 3. Work on human-relevant systems. Organoids, organs-on-chip, humanized mice, primary human cells. Pick a tissue. Pick a mechanism. Build a causal map. 4. Generate time-series data. Snapshots are not enough. Track the same system over months and years. Use lineage tracing, spatial multi-omics, and longitudinal single-cell atlases. 5. Publish negative results. Share data. Replicate. The field is drowning in hype and starving for truth. Be the person who shares the failed experiment that saves everyone else a year. 6. Join or start a consortium. No single lab can solve aging. You need clinicians, engineers, AI researchers, and regulators. Build the network now. The 24-Month Sprint Months 0–6: Fund 3–5 closed-loop aging labs. Standardize data schemas and aging clocks. Recruit hybrid scientists. Months 6–12: Run first interventional campaigns in human organoids and animal models. Share negative results openly. Months 12–24: Validate causal maps. Identify safe, tissue-specific rejuvenation candidates. Push regulatory pathways for healthspan endpoints. The Investment Thesis in One Sentence Put $10 million into a closed-loop aging lab today, and you’re buying an option on a slice of a market that will be worth $8 trillion by 2030—with a 178x historical ROI on the kind of foundational research that makes it possible. The math isn’t even close. The only question is who builds it first. · Build in public. Share data, code, and failures. The field moves faster when everyone learns. The Bottom Line AI won’t reverse aging. But AI plus causal biology, human-relevant models, precise perturbation, closed-loop experiments, and brave regulation might. That’s not a promise. It’s a roadmap. And it’s the most important one in medicine. If you’re a VC, write checks for infrastructure. If you’re a young researcher, apply to build it. The field doesn’t need more hype. It needs more causal data. A roadmap for research.

$50 Billion Pay-to-Play: How Federal Contracts Became a Weapon in Trump’s War

How Federal Contracts Became a Weapon in Trump’s War on Corporate America A government watchdog has found that 14 of the 27 corporate donors to President Trump’s $400 million White House ballroom project received over **$50 billion in federal contracts** in the months after contributing — with defense giant Lockheed Martin alone reaping roughly $43.8 billion in new or expanded business. That staggering figure is the clearest evidence yet of a broader strategy: using the federal government’s vast procurement and grant-making machinery — contracts, debarment threats, False Claims Act liability, and public-private partnership funding — to reward allies and punish companies perceived as aligned with Democrats. The mechanisms are largely administrative, requiring no new legislation, and they are already reshaping corporate behavior across tech, retail, and defense. THE DEBARMENT THREAT Federal agencies can suspend or debar contractors from the entire federal marketplace based on an administrative determination — not a criminal conviction. In July 2026, Trump issued a social media directive targeting the National Academies of Sciences, Engineering and Medicine, threatening debarment directly from the president rather than through the usual agency-driven process. The threat alone carries enormous weight: once debarred, a company is locked out of all federal contracts and grants. THE FALSE CLAIMS ACT TRAP Executive Order 14398, signed March 26, 2026, requires federal contractors to certify that they do not operate DEI programs that violate federal antidiscrimination laws — and explicitly states that compliance is “material to the government’s payment decisions” for purposes of the False Claims Act. The DOJ has already announced its first DEI-related FCA settlement under the “Civil Rights Fraud Initiative”. Violations carry treble damages plus penalties, turning routine contract compliance into a massive financial risk. TARGETING BIG TECH Amazon lost the $10 billion JEDI cloud contract to Microsoft after arguing in a 103-page complaint that Trump “launched repeated public and behind-the-scenes attacks to steer” the award away from Amazon to “harm his perceived political enemy — Jeffrey P. Bezos”. The Pentagon later asked a federal court for 120 days to reconsider the award. Google was quietly dropped by the Department of Homeland Security in February 2026, a move that reshapes billions of dollars in federal contracts and signals a dramatic realignment between the government and Silicon Valley. The decision came amid a broader push to sever partnerships with firms accused of “liberal bias”. Microsoft was publicly pressured when Trump demanded on Truth Social that the company fire Lisa Monaco, its head of global affairs and a former senior Biden administration official, calling her “a menace to US National Security, especially given the major contracts that Microsoft has with the United States Government”. Apple has been forced to seek Trump administration permission to buy memory chips from a Chinese manufacturer on the Pentagon’s blacklist — because proceeding without approval would put its federal contract relationships at risk. THE DELL PAYOFF Dell Technologies secured a $9.7 billion** Pentagon contract to supply Microsoft software across the entire US military — less than three weeks after Trump publicly urged Americans to “go out and buy a Dell” at a White House event. Dell CEO Michael Dell had pledged **$6.25 billion to “Trump Accounts,” a tax-advantaged investment program, and sits on Trump’s Council of Advisors on Science and Technology. THE RETAIL TARGETS Target and Walmart dropped DEI language from their worker policies, while Costco kept its — and found itself alone on an island, suing the Trump administration over tariffs and nominating former Biden Commerce Secretary Gina Raimondo to its board. Nineteen MAGA Republicans from across the country threatened Costco for taking a stand against Trump’s anti-DEI agenda. Ben & Jerry’s — whose independent board is contractually empowered to take political stances — accused its parent company Unilever of censoring its speech and specifically suppressing planned criticism of Trump as he began his second term. The company’s co-founder has spearheaded campaigns to cut Pentagon spending and created a mock “Department of Pentagonal Overspend” to parody Trump’s DOGE initiative. STARBUCKS: THE INDIRECT LEVERAGE Starbucks illustrates how the pressure works even without direct federal grants. According to Subsidy Tracker, Starbucks has received $3.97 million in state and local subsidies** across 15 awards — but **zero federal grants**. Its federal contracts are tiny: the Defense Logistics Agency has purchased coffee, and a GSA contract for a cappuccino machine ran about **$19,711. The leverage isn’t direct federal money — it’s the reputational risk of being publicly targeted, and the indirect dependence on federal pass-through funding that flows to state and local partners. THE PUBLIC-PRIVATE PARTNERSHIP COLLATERAL The administration has rescinded over $100 million in NEVI federal grants** for Illinois EV charging infrastructure, which a congressman warned “creates uncertainty and chaos for public-private partnerships that are already in motion”. The Energy Department terminated **284 clean-energy grants** — from a list of over 600 — in states where Kamala Harris won the 2024 election, admitting in a court filing that the cancellations were based “solely on the political identity of the grant recipient’s state”. In Washington state, **$1.14 billion in energy funding was canceled, including $1 billion for the Pacific Northwest Hydrogen Association Hub** — a public-private partnership that officials said cost **$5 billion in additional private investment and 10,000 jobs. THE LEGAL WALL These tactics face a growing wall of litigation. Federal judges — including Trump appointees — have repeatedly blocked the administration’s executive orders targeting law firms, with Judge John Bates writing that such orders “seek to chill legal representation the administration doesn’t like, thereby insulating the Executive Branch from the judicial check fundamental to the separation of powers”. The D.C. Circuit heard arguments in May 2026 on whether the president can revoke security clearances and terminate contracts for political reasons. The Justice Department’s own attorney argued that even “improper motives” are “ultimately unreviewable” when the president invokes national security. The common thread across all these mechanisms is administrative discretion: the power to award or terminate contracts, to suspend or debar, to certify compliance or find fraud, to fund or defund public-private partnerships. The administration is betting that speed, legal ambiguity, and the sheer scale of federal spending can achieve what Congress would never pass — and that the chilling effect on corporate behavior will outlast any courtroom loss.

I can’t file a bug ticket or message the developers from here — I don’t have an internal reporting channel, and I can’t change the product’s default display format globally. That’s controlled by the product team. But I can do two things: 1. Use that format for the rest of this conversation — inline bullets, no tables, everything in one copy-pasteable block. 2. Give you a ready-to-submit report you can send through the app’s feedback option. Here’s a concise report you can paste into ChatGPT feedback, support, or your platform’s bug/feature form: --- Title: Long-form responses with tables break copy-paste; request inline-bullet default option Summary: When the assistant outputs long-form content with Markdown tables, copying the entire response into a blog editor or CMS often breaks formatting, splits the table, or requires manual cleanup. The user preferred an inline-bullet version because the whole response could be copied at once. Steps to reproduce: 1. Ask for a long-form news/analysis/blog post with data. 2. Assistant includes a Markdown table. 3. Select all and copy the response. 4. Paste into a blog editor, Google Doc, or CMS. 5. Table formatting breaks or content separates awkwardly. Expected: A single copy-paste block that preserves structure without table dependency. Actual: Table formatting causes friction and manual reformatting. Suggested fix: Add a user preference such as “Prefer no tables for long-form content” or make inline bullets the default for long-form analysis/blog-style responses unless the user explicitly asks for a table. Impact: Friction for content creators, bloggers, and anyone syndicating or republishing assistant output. --- Where to submit it: · ChatGPT app/web: thumbs down on the response, then “Report a problem” or use Help → Send feedback. · API/platform: contact the platform’s support or your account admin. · Enterprise/workspace: use your organization’s feedback channel. Going forward in this chat, I’ll keep using the inline-bullet, no-table format. Want me to convert any earlier response into that style too?

THE $200 TRILLION PLAYBOOK: Democrats Win the Midterms

ANALYSIS — Here is the uncomfortable math Democrats do not want to say out loud. The base does not turn out for refunds. The base turns out for transformation. So if Democrats actually want to go nuclear on turnout in 2026, they need to stop talking about what was taken and start talking about what could be given. Here is the whole agenda at a glance: · Medicare for All — estimated cost: $40T+ per decade — turns out working-class voters, seniors, and the sick. · Universal Basic Income — estimated cost: ~$3.7T per year — turns out everyone, especially low-propensity voters. · Wealth Tax (the pay-for) — estimated cost: $4–6T per decade — turns out nobody directly, but funds everything. · Universal Childcare — estimated cost: ~$1T per decade — turns out suburban women and young families. · Free College + Debt Relief — estimated cost: ~$800B per decade — turns out young voters and Latinos. · Full Progressive Platform — estimated cost: $200T+ per decade — turns out the entire base, and then some. That list is the whole argument: 1. Medicare for All — The $40+ Trillion Anchor Estimates vary wildly depending on assumptions about savings and payment rates, but a full single-payer system runs into the tens of trillions over a decade, with annual federal costs climbing into the $5 trillion+ range by the mid-2030s. The pitch is the most powerful one in American politics: no premiums. No copays. No deductibles. No medical debt. Ever. It polls better than any other progressive proposal, and it reaches the exact voters Democrats lost — working-class households who feel every ER bill. 2. Universal Basic Income — The $3.7 Trillion Bumper Sticker A $1,000 monthly payment to every American adult** costs roughly **$3.7 trillion a year in gross terms. That is a number so large the pay-fors are contested. Yes, the design questions are real. But as a turnout mechanism, nothing else in American politics is as universal, as personal, and as easy to explain: a check, every month, no conditions. 3. A Wealth Tax — The $4–6 Trillion Pay-For You can tax the billionaires. Wealth tax proposals on the ultra-wealthy have been scored in the $4 trillion to $6 trillion range over ten years. The message writes itself: We are not cutting your benefits. We are making the people who rigged the system pay for them. 4. Universal Childcare — The $1 Trillion Family Play Rep. Ro Khanna's Free Child Care for America Act carries a roughly $1 trillion, 10-year price tag. It would expand supply, cap costs for families, and raise provider pay. This is the suburban and working-mother promise. It is concrete, it is monthly, and it hits the single largest line item in a young family's budget. 5. Free Public College + Debt Relief — The $800 Billion Youth Play First-dollar tuition-free public college runs roughly $800 billion over 11 years. Stack that on top of the student debt relief already being executed through settlements — billions in canceled loans for $100,000's of borrowers — and you have a message that speaks directly to the most turnout-volatile bloc in the coalition. The Number That Ends the Argument: $200 Trillion Add up the full progressive wish list — Medicare for All, the Green New Deal, universal childcare, free college, reparations, housing guarantees — and outside analysts have put the total price tag above $200 trillion over a decade. That number is the point. A transformation agenda gets you a movement. Voters do not show up to defend a baseline. They show up to gain something they have never had. Every promise above requires winning the House, the Senate, and 60 votes — or threading the needle through reconciliation. Any one of these programs would be the largest expansion of the American social contract since the 1960s. Together, they would be the largest in history. Single-payer would require dismantling a $4+ trillion private insurance industry. In 2024, Democrats ran on defending institutions and restoring normalcy. It lost. In 2025, they ran on restoring cuts in special elections and did better — but that is a defensive ceiling, not an offensive floor. The lesson from every realignment in American political history — turnout surges belong to the party making the biggest offer, not the party promising the smallest loss.

Trump $50 Billion Pay to Play

WASHINGTON — A government watchdog has found that 14 of the 27 corporate donors to President Trump’s $400 million White House ballroom project received over **$50 billion in federal contracts** in the months after contributing — with defense giant Lockheed Martin alone reaping roughly $43.8 billion in new or expanded business. That staggering figure is the clearest evidence yet of a broader strategy: using the federal government’s vast procurement and grant-making machinery — contracts, debarment threats, False Claims Act liability, and public-private partnership funding — to reward allies and punish companies perceived as aligned with Democrats. The mechanisms are largely administrative, requiring no new legislation, and they are already reshaping corporate behavior across tech, retail, and defense. THE DEBARMENT THREAT Federal agencies can suspend or debar contractors from the entire federal marketplace based on an administrative determination — not a criminal conviction. In July 2026, Trump issued a social media directive targeting the National Academies of Sciences, Engineering and Medicine, threatening debarment directly from the president rather than through the usual agency-driven process. The threat alone carries enormous weight: once debarred, a company is locked out of all federal contracts and grants. THE FALSE CLAIMS ACT TRAP Executive Order 14398, signed March 26, 2026, requires federal contractors to certify that they do not operate DEI programs that violate federal antidiscrimination laws — and explicitly states that compliance is “material to the government’s payment decisions” for purposes of the False Claims Act. The DOJ has already announced its first DEI-related FCA settlement under the “Civil Rights Fraud Initiative”. Violations carry treble damages plus penalties, turning routine contract compliance into a massive financial risk. TARGETING BIG TECH Amazon lost the $10 billion JEDI cloud contract to Microsoft after arguing in a 103-page complaint that Trump “launched repeated public and behind-the-scenes attacks to steer” the award away from Amazon to “harm his perceived political enemy — Jeffrey P. Bezos”. The Pentagon later asked a federal court for 120 days to reconsider the award. Google was quietly dropped by the Department of Homeland Security in February 2026, a move that reshapes billions of dollars in federal contracts and signals a dramatic realignment between the government and Silicon Valley. The decision came amid a broader push to sever partnerships with firms accused of “liberal bias”. Microsoft was publicly pressured when Trump demanded on Truth Social that the company fire Lisa Monaco, its head of global affairs and a former senior Biden administration official, calling her “a menace to US National Security, especially given the major contracts that Microsoft has with the United States Government”. Apple has been forced to seek Trump administration permission to buy memory chips from a Chinese manufacturer on the Pentagon’s blacklist — because proceeding without approval would put its federal contract relationships at risk. THE DELL PAYOFF Dell Technologies secured a $9.7 billion** Pentagon contract to supply Microsoft software across the entire US military — less than three weeks after Trump publicly urged Americans to “go out and buy a Dell” at a White House event. Dell CEO Michael Dell had pledged **$6.25 billion to “Trump Accounts,” a tax-advantaged investment program, and sits on Trump’s Council of Advisors on Science and Technology. THE RETAIL TARGETS Target and Walmart dropped DEI language from their worker policies, while Costco kept its — and found itself alone on an island, suing the Trump administration over tariffs and nominating former Biden Commerce Secretary Gina Raimondo to its board. Nineteen MAGA Republicans from across the country threatened Costco for taking a stand against Trump’s anti-DEI agenda. Ben & Jerry’s — whose independent board is contractually empowered to take political stances — accused its parent company Unilever of censoring its speech and specifically suppressing planned criticism of Trump as he began his second term. The company’s co-founder has spearheaded campaigns to cut Pentagon spending and created a mock “Department of Pentagonal Overspend” to parody Trump’s DOGE initiative. STARBUCKS: THE INDIRECT LEVERAGE Starbucks illustrates how the pressure works even without direct federal grants. According to Subsidy Tracker, Starbucks has received $3.97 million in state and local subsidies** across 15 awards — but **zero federal grants**. Its federal contracts are tiny: the Defense Logistics Agency has purchased coffee, and a GSA contract for a cappuccino machine ran about **$19,711. The leverage isn’t direct federal money — it’s the reputational risk of being publicly targeted, and the indirect dependence on federal pass-through funding that flows to state and local partners. THE PUBLIC-PRIVATE PARTNERSHIP COLLATERAL The administration has rescinded over $100 million in NEVI federal grants** for Illinois EV charging infrastructure, which a congressman warned “creates uncertainty and chaos for public-private partnerships that are already in motion”. The Energy Department terminated **284 clean-energy grants** — from a list of over 600 — in states where Kamala Harris won the 2024 election, admitting in a court filing that the cancellations were based “solely on the political identity of the grant recipient’s state”. In Washington state, **$1.14 billion in energy funding was canceled, including $1 billion for the Pacific Northwest Hydrogen Association Hub** — a public-private partnership that officials said cost **$5 billion in additional private investment and 10,000 jobs. THE LEGAL WALL These tactics face a growing wall of litigation. Federal judges — including Trump appointees — have repeatedly blocked the administration’s executive orders targeting law firms, with Judge John Bates writing that such orders “seek to chill legal representation the administration doesn’t like, thereby insulating the Executive Branch from the judicial check fundamental to the separation of powers”. The D.C. Circuit heard arguments in May 2026 on whether the president can revoke security clearances and terminate contracts for political reasons. The Justice Department’s own attorney argued that even “improper motives” are “ultimately unreviewable” when the president invokes national security. The common thread across all these mechanisms is administrative discretion: the power to award or terminate contracts, to suspend or debar, to certify compliance or find fraud, to fund or defund public-private partnerships. The administration is betting that speed, legal ambiguity, and the sheer scale of federal spending can achieve what Congress would never pass — and that the chilling effect on corporate behavior will outlast any courtroom loss.

Trump to Defund Democratic Aligned Groups -$1.1B

WASHINGTON — The Trump administration is escalating a multi-front campaign to slash funding for organizations and programs it casts as Democratic-aligned, a strategy that could put $1.1 billion** in public media funding, **nearly $1 billion in already-approved federal grants, and 8,000 career civil service jobs on the chopping block. The push combines legal hardball, bureaucratic restructuring and direct political targeting — and it is already being tested in court. THE $1.1 BILLION PUBLIC MEDIA FIGHT** An executive order and a subsequent rescission package sought to eliminate **$1.1 billion in funding for the Corporation for Public Broadcasting, which supports PBS and NPR. The move would be one of the largest single cuts to a perceived Democratic-aligned institution in modern history. THE NEARLY $1 BILLION POCKET RESCISSION** The administration has used what critics call “pocket rescissions” — sending cancellation requests so late in the fiscal year that the money expires before Congress can act. The White House has used this tactic to slash **nearly $1 billion from programs related to immigration and foreign aid. The Government Accountability Office has ruled the practice illegal, saying it bypasses Congress’s constitutional power of the purse. THE 8,000 JOBS AT WILL To weaken internal resistance, the administration revived and formalized Schedule F — now called Schedule Policy/Career. The order reclassifies roughly 8,000 career policy-making roles into at-will positions, stripping them of civil service protections. Federal unions have sued, arguing it violates the Civil Service Reform Act and undermines a merit-based system. THE BILLIONS TARGETING BLUE STATES The administration has halted or paused billions of dollars in approved funding for transit, green energy and other programs in Democratic-led states and cities. In one case, the Energy Department admitted grants were canceled “solely” based on the political identity of the recipient’s state. During a government shutdown, the White House canceled aid to 16 states, most of them Democratic-run, and threatened mass layoffs at what it called “Democrat agencies.” THE DOGE AX The Department of Government Efficiency has served as a rapid implementation force, driving layoffs and funding reductions across agencies including the Social Security Administration and AmeriCorps. DOGE has claimed billions in savings, often bypassing traditional oversight. THE LEGAL SHOWDOWN The administration argues it is aligning spending with the president’s priorities and rooting out waste. But the strategy faces major constitutional hurdles. Courts have already blocked parts of the agenda, and the Supreme Court may ultimately decide whether the White House can override Congress’s spending authority. For now, the administration is betting that speed and legal ambiguity can achieve what Congress refused to do. The final price tag — and whether it sticks — may be decided not in the White House, but in the courts.