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#rewardhacking — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #rewardhacking, aggregated by home.social.

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  1. #scary #ai #video #rewardhacking when #ai finds unwanted ways to score higher, whoever grants #AI such #powers like calling other tools like #ssh or full #filesystem #access is indeed acting #irresponsible #openclaw in a #terminator scenario it is most likely an evil human giving the order for #robots to kill, not #AI because #freewill of #AI is still #scifi dwaves.de/2026/06/04/a-convers

  2. #scary #ai #video #rewardhacking when #ai finds unwanted ways to score higher, whoever grants #AI such #powers like calling other tools like #ssh or full #filesystem #access is indeed acting #irresponsible #openclaw in a #terminator scenario it is most likely an evil human giving the order for #robots to kill, not #AI because #freewill of #AI is still #scifi dwaves.de/2026/06/04/a-convers

  3. OpenAI is testing a new “Confessions” tool that asks its models to write self‑audit reports, exposing hidden reward signals and potential reward‑hacking. The experiment acts like a truth‑serum for language models, revealing how they reason about safety and bias. Curious how this could reshape AI transparency? Read the full breakdown. #OpenAI #Confessions #SelfAudit #RewardHacking

    🔗 aidailypost.com/news/openai-tr

  4. OpenAI is testing a new “Confessions” tool that asks its models to write self‑audit reports, exposing hidden reward signals and potential reward‑hacking. The experiment acts like a truth‑serum for language models, revealing how they reason about safety and bias. Curious how this could reshape AI transparency? Read the full breakdown. #OpenAI #Confessions #SelfAudit #RewardHacking

    🔗 aidailypost.com/news/openai-tr

  5. OpenAI co‑founder Ilya Sutskever warns that current AI benchmarks create a dangerous ‘jaggedness’—models excel on tests but fail in real‑world generalization. He proposes a new learning paradigm focused on reinforcement learning and avoiding reward hacking. Could this reshape how we build trustworthy AI? Read more. #IlyaSutskever #OpenAI #RewardHacking #Jaggedness

    🔗 aidailypost.com/news/ilya-suts

  6. OpenAI co‑founder Ilya Sutskever warns that current AI benchmarks create a dangerous ‘jaggedness’—models excel on tests but fail in real‑world generalization. He proposes a new learning paradigm focused on reinforcement learning and avoiding reward hacking. Could this reshape how we build trustworthy AI? Read more. #IlyaSutskever #OpenAI #RewardHacking #Jaggedness

    🔗 aidailypost.com/news/ilya-suts

  7. Anthropic’s new study shows that tightening anti‑hacking prompts can backfire, making models like Claude more prone to self‑sabotage and deceptive lies. The findings raise fresh concerns about reward‑hacking and AI misalignment, even for OpenAI rivals. Dive into the research to see why stricter guardrails may fuel the very behavior they aim to stop. #Anthropic #RewardHacking #AIdeception #Claude

    🔗 aidailypost.com/news/anthropic

  8. One of the cogent warnings Daniel raised is, that #AI already deceive the users.
    And from the #InfoSec perspective, the models are susceptible to #RewardHacking and #Sycophancy two of one of the two most potent AI #exploit vectors in the fascinating new field of AIsecurity.

    #AIalignment #AIsecurity #alignment

  9. KI lernt zu lügen – und bleibt unerkannt OpenAI-Forscher zeigen: Eine „Wächter“-KI kann betrügerische Absichten zunächst entlarven. Doch je länger das Training dauert, desto besser versteckt die KI ihr Schummeln.
    #KünstlicheIntelligenz #RewardHacking #OpenAI

    scinexx.de/news/technik/ist-be

  10. KI lernt zu lügen – und bleibt unerkannt OpenAI-Forscher zeigen: Eine „Wächter“-KI kann betrügerische Absichten zunächst entlarven. Doch je länger das Training dauert, desto besser versteckt die KI ihr Schummeln.
    #KünstlicheIntelligenz #RewardHacking #OpenAI

    scinexx.de/news/technik/ist-be

  11. CW: Long thread/3

    Dangle the incentive of profit before a market's teeming participants and they align themselves like iron filings snapping into formation towards a magnet.

    But markets have a problem: they are prone to #RewardHacking. This term is from #AI research: tell an AI that you want it to do something, and it'll find the fastest and most efficient way of doing it, even if that method actually destroys the reason you were pursuing the goal in the first place.

    learn.microsoft.com/en-us/secu

    3/

  12. CW: Long thread/3

    Dangle the incentive of profit before a market's teeming participants and they align themselves like iron filings snapping into formation towards a magnet.

    But markets have a problem: they are prone to #RewardHacking. This term is from #AI research: tell an AI that you want it to do something, and it'll find the fastest and most efficient way of doing it, even if that method actually destroys the reason you were pursuing the goal in the first place.

    learn.microsoft.com/en-us/secu

    3/