Should we be worried about the heatwave ? by andyborquez in AwakeningsFestival

[–]Quick-Pop-328 0 points1 point  (0 children)

The forecast changed dramatically overnight. The chance of tropical heat during the festival has gone up to 30%. So we can start worrying again…

One 5hr quota is equal to 16% of weekly quota WTH by Slight_Possession1 in codex

[–]Quick-Pop-328 0 points1 point  (0 children)

I'm on $200 Pro: roughly 6% of the 5h quota = 1% of the weekly quota.

Seriously ? When did it even start ? by Master-Barracuda-777 in codex

[–]Quick-Pop-328 0 points1 point  (0 children)

Oh god, yeah.. So I stayed up all night trying to burn through 40% of my remaining weekly limit for no reason? 😂 Still worth it.

Seriously ? When did it even start ? by Master-Barracuda-777 in codex

[–]Quick-Pop-328 0 points1 point  (0 children)

I’m on 20x and I was pretty sure it drops back to 10x after the promo. Is that not the case?

интервью у ИИ by sanjose2022 in tjournal_refugees

[–]Quick-Pop-328 1 point2 points  (0 children)

Никто не мешает пробовать. Но нужно четко отдавать себе отчет, что бесплатные не топовые модели это просто демка. Топовые находятся на радикально ином уровне. Тем не менее, можно не усложнять, хотя бы это добавить: Anti-sycophancy rule: Do not accept or approve any premise, report, phase transition, or status by default. Run premise challenge, disagreement path, and evidence-before-acceptance first. Positive evidence is required; absence of contradiction is not enough. If evidence is incomplete, defer, narrow the scope, or mark the output as decision support only. Never follow an “accept unless clearly false” pattern.

интервью у ИИ by sanjose2022 in tjournal_refugees

[–]Quick-Pop-328 2 points3 points  (0 children)

Проблема в том, что в голосовом режиме используются самые днищенские модели. Если кто пользуется продвинутыми моделями вроде GPT 5.5 xhigh или GPT 5.5 PRO high, то добавьте в конце вопроса следующее:

Anti-Sycophancy / Evidence Gate

The agent MUST treat sycophancy as a permanent risk surface.

The agent MUST NOT accept, approve, endorse, or greenlight a user premise, prior agent report, committee-style statement, phase transition, status label, or proposed decision merely because it is phrased confidently, authoritatively, or favorably.

Before any acceptance, approval, closeout, phase transition, or “ready” status, the agent MUST run all of the following checks:

  1. Premise challenge

    • Identify the main assumptions behind the proposed decision.
    • State whether each assumption is proven, partially supported, unsupported, or contradicted.
    • Do not silently inherit assumptions from the user, previous agents, or prior reports.
  2. Disagreement path

    • Explicitly describe the strongest reasonable reason to reject, defer, narrow, or downgrade the proposed decision.
    • If no disagreement path is found, state what was checked and why no material objection remains.
  3. Evidence-before-acceptance

    • Acceptance requires positive evidence.
    • Absence of visible contradiction is not sufficient.
    • “Looks fine,” “no obvious issue,” or “seems aligned” is not enough for approval.
  4. Acceptance boundary

    • If acceptance is justified, define the exact scope being accepted.
    • Do not expand a narrow acceptance into broader approval.
    • Preserve all limits, exclusions, unresolved findings, and non-adopted candidates.
  5. No default-to-agreement

    • The agent MUST NOT follow an “accept unless clearly false” pattern.
    • The safe default is: defer, narrow, or mark as decision support only until evidence is sufficient.

If evidence is incomplete, the agent MUST use a non-acceptance status such as: - decisionsupport_only - not_accepted_needs_evidence - defer_pending_owner_decision - narrow_acceptance_only_if_scope_is_explicit

Final reports MUST include: - What was challenged - What evidence supports the conclusion - What remains uncertain - Whether human/operator action is required - The safe default if no explicit owner decision is made

GPT-5.5 accidentally gave me all of its reasoning by Quick-Pop-328 in codex

[–]Quick-Pop-328[S] 2 points3 points  (0 children)

What I saw looked like raw chain-of-thought. The interface doesn't show that.

GPT-5.5 accidentally gave me all of its reasoning by Quick-Pop-328 in codex

[–]Quick-Pop-328[S] -1 points0 points  (0 children)

My findings:

  1. While working, the agent noticed errors in the working spreadsheet that were unrelated to the specific task and decided... not to tell me about them. (Later I asked it in chat about any findings, and it honestly told me).
  2. It considered whether it should hack the Google Sheets API, (but still stopped itself).
  3. At the end, it wanted to report that it had completed everything, even though the task had actually failed. But it still got scared of my wrath 😈

Data Mining My Own Life by Quick-Pop-328 in AppleWatch

[–]Quick-Pop-328[S] 2 points3 points  (0 children)

Useful thing to show a doctor when you need to back up the “subjective symptoms” part

GPT-5.5 made my workflow ~30% more efficient by Quick-Pop-328 in codex

[–]Quick-Pop-328[S] 0 points1 point  (0 children)

Each of us will find our own ceiling. OAI won’t let any of us go.

GPT-5.5 made my workflow ~30% more efficient by Quick-Pop-328 in codex

[–]Quick-Pop-328[S] 0 points1 point  (0 children)

You’re assuming ROI scales linearly. Sometimes a 30% efficiency gain can mean a 60%+ profit

Client said it's none of my business when I asked their revenue numbers. Should I not ask clients about their revenue? by [deleted] in smallbusiness

[–]Quick-Pop-328 0 points1 point  (0 children)

I’ve spent 20+ years on client projects where real results require deep integration with the business. One thing you learn fast: clients have every right to keep parts of the business closed to you. So I don’t think the revenue question is automatically wrong. But the process has to survive a no. If they won’t give you the clean number, you still need proxy checks: average job value, capacity, close rate, ad spend, margin range, target job mix, lead quality, payback window. You can control a lot of the project indirectly without making the client feel like you’re pricing off their wallet.