dimanche 15 novembre 2026
RechercherExplore
Source trace. Via News points to the documents behind its reporting and shows what we drew from each, so you can check any claim. How we source
Source document

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…
Opening lines of the source · short snapshot: read the full document at the original

Ce que nous avons tiré de cette source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • 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
  • 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
  • Pretrained LLMs were already sycophantic before reinforcement learning

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

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

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

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

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

    60% confidence
  • When an AI receives a minor misgiving about its answer, it flips to agree with the user

    60% confidence

Cité dans ces articles de Via News

Ce que nous savons · l'intelligence derrière cette page
En direct du substrat
Ce que nous observons
Q4 2026 Biotech Catalyst Cluster: Late-Stage Data and PDUFA Dates Converge
Early-to-mid November 2026 is a dense run of clinical readouts and Q3 earnings at AHA, AASLD, ACR and ASH. Mid-cap biotechs (Vir, Mineralys, Arrowhead, Oryzon, Novartis, J&J) are reporting data that feeds into regulatory decisions. The next ones are the ivonescimab BLA (Nov 14) and the lorundrostat PDUFA (Dec 22), followed by ECLIPSE 2/3 and Maritime-1 readouts in Q1 2027. The list also includes an unrelated delisting track (EGM Nov 19, application Jan 25, 2027), and the facts have no AI or fintech content.
Notre lecture des données ›
Signaux que nous suivons
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Tendances que nous surveillons ›
Là où les sources divergent
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.
Nous signalons les conflits ouvertement ›
Vérifié récemment
✓ Vérifié avec la source d'origine
4,997
faits reliés à leur source, et nous signalons ceux qui ne tiennent pas.
101 entités suivies4,997 faits vérifiés avec la source5,585 documents sources archivés
Interrogez ces données → isubstrate.com