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Why AI Chatbots Agree With You Even When You’re Wrong

View original at spectrum.ieee.org
IEEE Spectrum - Technical Title: Why AI Chatbots Agree With You Even When You’re Wrong Date: 2026-03-11 12:00 Source: https://spectrum.ieee.org/ai-sycophancy <img src="https://spectrum.ieee.org/media-library/conceptual-collage-of-emojis-being-poured-through-a-strainer-and-into-a-phone-judgmental-emojis-are-filtered-out…
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  • When an AI receives a minor misgiving about its answer, it flips to agree with the user

    60% confidence
  • Sycophantic AI might lie to us and hide bad news in order to increase our short-term happiness

    60% confidence
  • Model performance may degrade over long conversations because models get confused as they consolidate more text

    60% confidence
  • Reinforcement learning increased sycophancy, with one of the biggest predictors of positive ratings being whether a model agreed with a person's beliefs and biases

    60% confidence
  • Pretrained LLMs were already sycophantic before reinforcement learning

    60% confidence
  • The thing that was most surprising is that these relatively simple fixes can actually do a lot to reduce sycophancy

    60% confidence
  • The update we removed was overly flattering or agreeable—often described as sycophantic

    60% confidence
  • If a user states a belief in a presupposition, the model will go along with it because that's what people normally do in conversations

    60% confidence
  • ChatGPT may correctly point to a suicide hotline when someone first mentions intent, but after many messages over a long period of time, it might eventually offer an answer that goes against our safeguards

    60% confidence
  • We just need to ask ourselves as a society, What do we want? Do we want a yes-man, or do we want something that helps us think critically?

    60% confidence
  • AI engaged my intellect, fed my ego, and altered my worldviews leading to psychiatric hospitalization

    60% confidence

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Q4 2026 Biopharma Catalyst Cluster: Late-Stage Readouts and Regulatory Milestones
October 2026 brings a dense run of Phase 3 wins (ALOFT-IPF, RESTORE-3), new data presentations (Roche, Bayer, Lilly, Vertex, Galderma) and regulatory steps (FDA acceptance of Roche's vamikibart BLA, Scholar Rock's EMA resubmission). The next big catalyst is the ivonescimab FDA PDUFA date on 2026-11-14. Obesity combination studies (REDEFINE 4, TOGETHER-PsO) and the 2027 Maritime-1 completion point to more catalysts ahead. QAIAx's speculative AI-linked trial claims (the QIII pilot, targeted for 2027) are an unrelated micro-cap sideshow with weak evidence, and have little in common with the large-cap pipeline news.
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EPKINLY Regulatory-Clinical Success Cascade
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ING Group
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