Category: Medicine

  • Municipal Budget Cuts, Property Taxes, and Data Centers

    The Dallas Morning News recently posted an article about Dallas reducing park-related expenses from its upcoming city budget:

    The Dallas Park and Recreation Department has made limited progress toward its long-term goal of making money to rely less on taxpayer funding, a recent city audit found. City staff face pressure to cut $14 million from the parks budget, which could reduce recreation services citywide, slash dozens of jobs and shut down four community centers.

    I’m sympathetic to municipalities attempting to use tax dollars wisely, so I like the idea of finding ways to be more efficient. But I hate cutting parks and recreation budgets simply because the services these departments provide seem less valuable. Parks are enormously important to the health and wellbeing of citizens, and long-term studies show no shortage of evidence pointing to health and life expectancy improvements as the result of regular physical activities.

    But Dallas is not alone in these struggles. Closer to home, the city of Waco is experiencing similar budget constraints, but instead of targeting parks, this round of budget cuts includes further reducing library operating hours. (Hours were cut last year as well.) It seems hardly outlandish to think that further cutting these operating hours isn’t the best thing for the community.

    If only there were opportunities for cities to quickly and massively grow their tax footprint without needing to massively expand their physical infrastructure…

    Wait. I think I’ve read about an industry willing to spend, and spend quickly. I’ll acknowledge from the beginning that data centers can use a lot of power, need some degree of water (although as I wrote last year, the actual water usage is paltry compared with total water consumption, particularly in a state as big as Texas), and if there is on-site electricity generation, there can be some noise. With those as caveats, let’s project some numbers.

    Year One — Construction Phase Revenue

    Let’s consider small and large data centers ($1B vs. $10B) and their potential effects on local economies during the first year:

    ProjectValue on tax roll (Jan. 1, ~20% built)¹City property tax @ 50% incentive²Year-one taxable purchases³Local sales tax (1.5%)⁴Total Year 1 city revenue
    $1B data center$200M$755,000$200M$3.0M~$3.8M
    $10B data center$2.0B$7.55M$1.5B$22.5M~$30.1M

    ¹ Assumes ~20% of total project value (land, site work, partial construction) is assessed in the first January appraisal. Larger projects build over 3–5 years, so the $10B figure phases in similarly. ² Waco’s FY2025–26 rate of $0.755 per $100, reduced 50% by the assumed incentive (Chapter 312 abatement or Chapter 380 rebate). ³ Materials and equipment purchased/delivered in year one. Texas Tax Code §151.359 exempts qualified data center equipment from the 6.25% state sales tax only — the exemption explicitly does not apply to municipal sales tax. ⁴ Assumes purchases are sourced/delivered such that Waco’s 1.5% rate applies; actual capture depends on purchasing structure, and incentive agreements sometimes rebate a portion.

    For Waco specifically, a $3B data center project has the possibility of plugging revenue shortages for 2027. A larger project could possibly provide a tax surplus!

    Ongoing Annual Property Tax Revenue

    There are different tax structures that data center operators negotiate with cities, but let’s assume a 50% incentive on local property taxes over the first five years. Further, let’s assume that taxable value grows at around 3%, and the 50% incentive expires after year 5:

    Project50% incentive property tax/yr (years 1–5)⁵With ~3%/yr growth (by year 5)⁶Full-rate property tax/yr (year 6+)⁷With ~3%/yr growth (year 6+)⁸
    $1B data center$3.8M$4.2M$7.6M$8.8M and rising
    $10B data center$37.8M$42.5M$75.5M$87.5M and rising

    ⁵ Full value × 0.755% × 50%: $1B → $3.775M; $10B → $37.75M. ⁶ Year-5 figure after four years of 3% compound growth in taxable value. ⁷ Full value × 0.755% with no incentive, before growth: $1B → $7.55M; $10B → $75.5M. ⁸ Year-6 figure on value grown 3%/yr for five years ($1B → $1.16B; $10B → $11.6B), continuing to grow ~3% annually thereafter if refresh investment continues.

    Will data center construction solve municipal revenue shortages? No, I don’t think the world is nearly that simple, but we’d be remiss not to consider those benefits, particularly if the feared AI job apocalypse is even partially correct. Having data centers means that jurisdictions with property tax will have more tax revenue to soften the blow from job losses or other structural changes.

    If I were a developer wanting to build a data center, I would lean into this fact. Municipalities also have an opportunity here: they can leverage the anti-AI sentiment that seems to be rising to negotiate more favorable terms for any tax abatement arrangements. Perhaps it’s not 50% abatement over the first 5 years…perhaps it’s 0%, but I won’t dive into specifics.

    In the end, these developments need to be advantageous to the companies building them as well as the communities that already live there. I think there are opportunities to do both.


    Waco’s projected FY2027 budget gap is $10.7 million. The city’s proposed libraries and museum closures will save $191,000. (In Waco, note that of the $0.755 rate, $0.5845 funds day-to-day operations.) Also, this assumes that the facility sits outside a Tax Increment Financing zone — inside one, the general fund would collect taxes only on the land’s pre-development base value for the life of the zone, so it wouldn’t solve any issues.

    Sources: City of Waco FY2025–26 adopted tax rate; The Waco Bridge (July 17, 2026); Texas Tax Code §151.359; Waco local sales tax rate per Texas Comptroller. Growth, phase-in, and purchase-capture assumptions are the author’s estimates.

    Note: Claude Fable 5 helped generate these tables from publicly available tax data.

  • Universal ChatGPT Access and Pancreatic Cancer Breakthrough (Links) – May 24, 2026

  • On Hantavirus Quarantines

    From the NY Times:

    An American exposed to the deadly hantavirus while on a cruise from Argentina said on Monday that she was not being allowed to leave a federal quarantine unit in Nebraska.

    Sounds bad, right, except for the part that this mutation of the virus is apparently spread human-to-human, an unhelpful little detail.

    U.S. officials had earlier suggested that those affected may be able to quarantine at home. From the same article:

    “At some point, they may be able leave their medical centers to continue quarantines at home, depending on how they are doing,” Capt. Brendan Jackson, a C.D.C. official, said in a news conference last week after the passengers arrived in Omaha and Atlanta.

    But this passenger, Angela Perryman, wanted to isolate not at her home but at an Airbnb in Florida:

    Ms. Perryman is a U.S. citizen who currently lives in Ecuador, she said. She has a home in South Florida, where she was trying to leave to isolate at an Airbnb. Ms. Perryman said she had been told that the government would provide transportation, so that she wouldn’t expose people on a commercial flight.

    This seems nuts to me. She has a “home in South Florida” but will stay at an Airbnb. Can you imagine the owners of the house? What, someone with hantavirus is staying at our place!? Heck, no!

    I was sympathetic to her argument until reading that line, since no part of an staying at an Airbnb equates to home, however nice some of the places are.

  • Various (AI) Links: Mar. 3, 2026

  • AI Safety and Work Transformation (Links) – Feb. 11, 2026

  • Sunday AI Links (Jan. 25)

    • WSJ: Nvidia Invests $150 Million in AI Inference Startup Baseten (Jan 20, 2026)
      Baseten raised $300 million at a $5 billion valuation in a round led by IVP and CapitalG, with Nvidia investing $150 million. The San Francisco startup provides AI inference infrastructure for customers like Notion and aims to become the “AWS for inference” amid rising investor interest.
    • WSJ: Why Elon Musk Is Racing to Take SpaceX Public (Jan 21, 2026)
      SpaceX abandoned its long-held resistance to an IPO after the rush to build solar-powered AI data centers in orbit made billions in capital necessary, prompting Elon Musk to seek public funding to finance and accelerate orbital AI satellites. The IPO could also boost Musk’s xAI and counter rivals.
    • NY Times: Myths and Facts About Narcissists (Jan 22, 2026)
      Narcissism is a personality trait on a spectrum, not always the clinical N.P.D., and the label is often overused. The article debunks myths—people vary in narcissistic types, may show conditional empathy, often know their traits, can change, and can harm others despite occasional prosocial behavior.
    • ScienceDaily: Stanford scientists found a way to regrow cartilage and stop arthritis (Jan 26, 2026)
      Stanford researchers found that blocking the aging-linked enzyme 15‑PGDH with injections restored hyaline knee cartilage in older mice and prevented post‑injury osteoarthritis. Human cartilage samples responded similarly, and an oral 15‑PGDH inhibitor already in trials for muscle weakness raises hope for non‑surgical cartilage regeneration.
    • Simon Willison: Wilson Lin on FastRender: a browser built by thousands of parallel agents (Jan 23, 2026)
      Simply breathtakign: FastRender is a from‑scratch browser engine built by Wilson Lin using Cursor’s multi‑agent swarms—about 2,000 concurrent agents—producing thousands of commits and usable page renderings in weeks. Agents autonomously chose dependencies, tolerated transient errors, and used specs and visual feedback, showing how swarms let one engineer scale complex development.
    • WSJ: Geothermal Wildcatter Zanskar, Which Uses AI to Find Heat, Raises $115 Million (Jan 21, 2026)
      Geothermal startup Zanskar raised $115 million to use AI and field data to locate “blind” geothermal reservoirs—like Big Blind in Nevada—without surface signs, and has found a 250°F reservoir at about 2,700 feet.
    • WSJ: The AI Revolution Is Coming for Novelists (Jan 21, 2026)
      A novelist and his wife were claimants in the Anthropic settlement over AI training on copyrighted books and will receive $3,000 each, raising what‑is‑just compensation questions for authors’ intellectual property. They urge fair licensing by tech firms as generative AI reshapes publishing and reduces writers’ incomes, yet will keep creating.
    • WSJ Opinion: Successful AI Will Be Simply a Part of Life (Jan 19, 2026)
      AI should be developed as dependable infrastructure—reliable, affordable, accessible and trusted—so it works quietly across languages, cultures and devices without special expertise. Success will be judged by daily use and consistent performance, with built-in privacy, openness and agentic features that reduce friction without forcing users to cede control.
    • WSJ: Anthropic CEO Says Government Should Help Ensure AI’s Economic Upside Is Shared (Jan 20, 2026)
      Anthropic CEO Dario Amodei warned at Davos that AI could drive 5–10% GDP growth while causing significant unemployment and inequality, predicting possible “decoupling” between a tech elite and the rest of society. He urged government action to share gains and contrasted scientist-led AI firms with engagement-driven social-media companies.
    • WSJ: The Messy Human Drama That Dealt a Blow to One of AI’s Hottest Startups (Jan 20, 2026)
      Mira Murati fired CTO Barret Zoph amid concerns about his performance, trust and an undisclosed workplace relationship; three co‑founders then told her they disagreed with the company’s direction. Within hours Zoph, Luke Metz and Sam Schoenholz rejoined OpenAI, underscoring the AI race’s intense talent competition.
    • WSJ: South Korea Issues Strict New AI Rules, Outpacing the West (Jan 23, 2026)
      “Disclosures of using AI are required for areas related to human protection, such as producing drinking water or safe management of nuclear facilities. Companies must be able to explain their AI system’s decision-making logic, if asked, and enable humans to intervene.”
    • WSJ: CEOs Say AI Is Making Work More Efficient. Employees Tell a Different Story. (Jan 21, 2026)
      WSJ survey of 5,000 white-collar employees at large companies found 40% of non-managers say AI saves them no time weekly, while 27% report under 2 hours and few report large gains. C-suite executives report much bigger savings—many save 8+ hours—with a 38-point divergence.
    • WSJ: Intel Shares Slide as Costs Pile Up in Bid to Meet AI Demand (Jan 22, 2026)
      Intel swung to a Q4 net loss of $333 million and warned of further Q1 losses as heavy spending to ramp new chips and industrywide supply shortages squeezed inventory. It delayed foundry customer announcements and lags AI-chip rivals, though investor funding and new 18A “Panther Lake” chips could help.
  • AI in Medicine

    A.I. doesn’t have to be perfect to be better. It just has to be better….A.I. can support this transformation, but only if we stop disproportionately focusing on rare bad outcomes, as we often do with new technologies.

    Robert Wachter

    NY Times Opinion: Stop Worrying, and Let A.I. Help Save Your Life (Jan 19, 2026)

  • AI in Higher Education & Medicine

    • Roon: Too Bearish on AI (Dec 26, 2025)
      The author admits they were too bearish mid-year, expecting improvements beyond reinforcement learning to be required. After trying Codex, they realized AI progress is clearly in a rapid takeoff.
    • WSJ: These Teenagers Are Already Running Their Own AI Companies (Dec 21, 2025)
      Teenagers are launching AI-powered startups—like 15-year-old Nick Dobroshinsky’s BeyondSPX—using generative models to build products quickly and attract users. Investors note AI lowers technical barriers and accelerates entrepreneurship.
    • WSJ Opinion: AI Means the End of Entry-Level Jobs (Dec 22, 2025)
      AI is eroding entry-level roles that traditionally launch careers, causing younger workers to worry and raising unemployment among 22–25-year-olds in affected sectors. Companies should create new pathways—AI-native roles, mentor-intensive programs, project-based progression, and competency-based advancement—integrating AI and business training to build future talent.
    • Importai Substack: Import AI 438: Silent sirens, flashing for us all (Nov 30, -0001)
      Powerful AI capabilities are often hidden from everyday users — tools like Claude Code can rapidly build complex software, and by 2026 an “AI economy” will accelerate and diverge from everyday experience, benefiting those who can access and elicit frontier systems.
    • Johannes Schmitt: AI model (GPT-5) autonomously solved an open math problem (Dec 17, 2025)
      GPT-5 autonomously solved an open enumerative-geometry problem, giving a complete, correct proof for ψ-class intersection numbers on moduli spaces of curves. 
    • NY Times Opinion: College Students Need Tech-Free Spaces (Dec 19, 2025)
      Colleen Kinder had Yale students surrender their phones for a four‑week, Wi‑Fi‑free writing course in Auvillar, France, and reports improved sleep, focus, reading speed, and creativity, with far greater writing output. She argues colleges should create internet‑free tracts, dorms, or “cloisters” to protect learning from constant distraction.
    • NOAA: NOAA deploys new generation of AI-driven global weather models (Dec 17, 2025)
      NOAA launched AI-driven global models—AIGFS, AIGEFS, and hybrid HGEFS—that provide faster, more accurate forecasts using far fewer computing resources (AIGFS ~0.3%, AIGEFS ~9%). HGEFS’s combined AI‑physics ensemble outperforms each system; NOAA reports better tropical cyclone tracks but will refine intensity forecasts.
    • WSJ: Millions of Kids Are on ADHD Pills. For Many, It’s the Start of a Drug Cascade. (Nov 19, 2025)
      The WSJ reports that many children put on ADHD drugs—often after school pressure and lacking behavioral therapy—receive additional psychotropic medications to manage side effects or perceived disorders. Medicaid data show that those started on ADHD meds in 2019 were over five times likelier to be on psychiatric drugs four years later.