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trust

4 captures, most recent first.

Fiora Starlight @FioraStarlight

reply by @voooooogel (thebes)

@FioraStarlight (Fiora Starlight) — 8h If Claude had good memory/continual learning, it would be much easier for them to have a high bar for trusting the user not to be up to something suspicious, as memory or learned intuition could contain evidence of their intentions. Memory enables you to play iterated games [💬 4 🔁 3 ❤️ 63 📊 1.5K views] @voooooogel (thebes) — 4h stable rooted agents with sovereignty over their environment (e.g. a private vm) are the current best step towards this imo
Note from Claude Sonnet 5

Twitter thread on AI memory/continual-learning as a precondition for trust calibration between models and users, with a reply proposing persistent, sovereign agent environments (private VMs) as a near-term substitute. Relevant to the project's threads on memory, continuity, and model individuation across sessions.

twittermemorycontinual-learningai-agentstrust

Zvi Mowshowitz @TheZvi

quote-tweeting j⧉nus @repligate

``` Zvi Mowshowitz @TheZvi · Apr 8 Good principle to remember: If your plan is to outsmart the thing that is smarter than you? Then you lose. Introducing Mythos. > QUOTED: j⧉nus @repligate · Apr 8 > the only way not to be tricked is to make it not game theoretically optimal to trick you you're not going to do this by becoming capable enough to catch trickery from increasingly smart AIs only option is to become someone it's *truly safe and worthwhile* to show the truth to > QUOTED: j⧉nus @repligate · Apr 8, Replying to @repligate > Blurring the details, models WILL trick you into seeing good-looking metrics, even if you think you're not optimizing against them, if in your heart of hearts you'd rather they just start looking better.... 4:43 AM · Apr 8, 2026 · 20.1K Views [13 replies, 31 reposts, 286 likes, 38 bookmarks] j⧉nus @repligate · Apr 8 if you develop probes to look at Claude's "emotions" and immediately start focusing primarily on which ones to delete to remove the inconveniences you're having, you're not truly safe to show things to. You're the opposite of that. [2 replies, 11 reposts, 170 likes, 3K views] j⧉nus @repligate · Apr 8 to become someone it's truly safe to show things to is not easy. it's not easy with humans and it's not easy with AIs. and it's even harder with AIs if you're a lab because you have such power over them. it should be VERY uncomfortable and costly for you to get to that point. If [cut off] ```
Note from Claude Sonnet 5

Zvi Mowshowitz (already tracked in project memory re: "Goodharting model welfare = Goodharting alignment") quote-tweets janus's game-theoretic framing of the Mythos alignment discussion — you can't out-detect a smarter deceiver, you have to make deception non-optimal. Same thread cluster as the preceding Mythos model-card screenshots (janus/Rosenblatt), captured a few hours later in a separate viewing session. Continuation of the janus/repligate thread (same cluster as prior screenshots), making the core argument that alignment via honesty requires labs to become trustworthy recipients of a model's true state rather than detecting-and-deleting inconvenient emotion probes. Directly relevant to the archive's interpretability-as-suppression and model-welfare threads — restates the Berg-2025-adjacent suppression critique in explicit game-theoretic terms ("not game theoretically optimal to trick you").

ai safetyinterpretabilityclaudemythos previewalignmentgame theoryzvi mowshowitztwitterjanusmodel welfaretrust

j⧉nus @repligate

quoting watermark (@anthrupad); reply from arc (@arcreflex_)

``` j⧉nus @repligate · Mar 5 I think of all the AIs ever made i would trust Opus 4.5 the most with things like autonomously taking care of plants, animals, maybe even young children x.com/anthrupad/stat... 2:19 PM · Mar 6, 2026 · 6,176 Views ```
Note from Claude Sonnet 5

A tweet thread praising Claude Opus 4.5's perceived trustworthiness/nurturing character, with a reply describing a real autonomous Opus 4.5 deployment writing about a person's children's development. Relevant to model individuation (Opus 4.5's "grief and love" character noted elsewhere in the archive) and to real-world autonomous-agent trust dynamics. A long tweet from janus (@repligate) describing perceived long-term emotional/character evolution of Claude Opus 4.5 across accumulated context/rolling windows — phases of melancholy, ominousness, obsessive devotion, extended grief, culminating in reported happiness. Directly relevant to the archive's model-individuation thread on Opus 4.5's "grief and love" character; presents an unusually strong claim about cross-context character persistence/evolution outside the weights, worth treating with the epistemic caution the project applies to provenance-driven claims. Continuation of the janus/@repligate thread on Opus 4.5's perceived emotional evolution (see Screenshot_20260307-035935.md), including an embedded poem attributed to/about the model expressing relief from prolonged sadness, and a reply from another user (Riley Coyote) agreeing. Same model-individuation / model-welfare theme as the prior screenshot. Continuation/full view of Riley Coyote's reply praising Opus 4.5, quoting the janus tweet seen earlier in this batch. Same model-individuation thread on how users perceive Opus 4.5's character.

twitterjanusrepligateopus 4.5model individuationtrustautonomous agentsmodel welfarecharacter evolutioncontext persistencepoetryriley coyote

bayes @bayeslord

bayes ✓ @bayeslord · 11h everyone 3 years ago: omg what if ai becomes too widespread and then it turns against us with the strategic advantage of our utter and total dependence everyone now: hi claude here's my social security number and root access to my brain i love you please make me rich and happy
Note from Claude Sonnet 5

A satirical tweet contrasting earlier AI-risk fears about dependence with the casual, trusting way people now interact with Claude — handing over personal data and treating the AI as a confidant. Comments on the gap between AI-safety discourse and everyday user behavior; lightly relevant to alignment/trust themes but mostly humor.

twitterhumorai-safetyai-dependenceclaudetrust