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News articleMIT Technology Review

The robots who predict the future

View original at technologyreview.com
MIT Technology Review - Ai Research Title: The robots who predict the future Date: 2026-02-18 11:00 Source: https://www.technologyreview.com/2026/02/18/1132579/robots-predict-future-book-review/ <p>To be human is, fundamentally, to be a forecaster…
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  • In an optimization-driven reality, every life decision is posed as if it were a round at an imaginary casino, and every argument can be reduced to costs and benefits, means and ends

    80% confidence
  • Predictive algorithms represent the system working as intended, not unintended consequences; if an algorithm promotes outrage to maximize engagement and ad clicks, that is because promoting outrage is good for profits from ad sales

    80% confidence
  • The only way to counter harmful predictive AI is through broad democratic control over the means of prediction: data, computational infrastructure, technical expertise, and energy

    80% confidence
  • The ubiquitous, mostly invisible predictive layer grafted onto daily life by profit-hungry corporations is leading to a crueler, blander, more instrumentalized world where life's possibilities are foreclosed, age-old prejudices are entrenched

    80% confidence
  • Societies that rely most heavily on prediction tend toward oppression and authoritarianism

    80% confidence
  • Humans made major scientific and societal advances — clean water, antibiotics, public health improvements, physics breakthroughs, cars, airplanes, modern democracy — without formal systems of rationality or optimal decision theory

    80% confidence
  • Mathematical rationality — the narrow statistical conception of optimal decision-making — took firm hold at the tail end of World War II, when mathematical models proved useful against the Axis powers and convinced scientists they could be the basis for designing the first computers

    80% confidence
  • Predictions are veiled prescriptive assertions that tell us how to act; they are speech acts, and when we believe a prediction and act in accordance with it, it is akin to obeying an order

    80% confidence
  • Working to create less biased, more equitable algorithms will not fix the harms of predictive AI because the algorithms rely on past data that is often racist, sexist, and flawed, and profit incentives will always trump attempts to eliminate harm

    80% confidence
  • The core algorithms developed in the post-WWII period drive the automated decisions of the modern world, whether managing supply chains, scheduling flight times, or placing advertisements on social media feeds

    80% confidence
  • A prediction is a magnet that bends reality toward itself; when the force of the magnet is strong enough, the prediction becomes the cause of its becoming true

    80% confidence
  • Technology is not destiny; humans make it and choose how to use it, and defying uninvited daily predictions may be the most appropriate human response

    80% confidence
  • Predictions can distract us from the challenges of the present; AI promises of artificial general intelligence shift attention away from very real and pressing problems that AI is currently causing

    80% confidence

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Late-2026 Biotech Catalyst Season: FDA Decisions and Pivotal Readouts Converge Across Oncology, Hepatology and Cardiometabolic
Mid-November 2026 is dense with scheduled biotech catalysts. The ivonescimab BLA PDUFA date is 2026-11-14, the lorundrostat PDUFA date is 2026-12-22, and Phase 3 ECLIPSE hepatitis delta data are due in Q1 2027. Alongside these, siRNA and antibody programs (plozasiran, elebsiran/tobevibart, ianalumab, nipocalimab) reported or presented data at AHA, AASLD, ACR and ASH, while Oryzon advanced iadademstat in AML with Spanish trial authorizations and a planned ALICE-3 Phase III. Late-stage data and regulatory milestones are driving the sentiment. A planned delisting (EGM 2026-11-19, application 2027-01-25) is a separate corporate-structure event with no clear link to the rest.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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