Don Is Typing ⌨️
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Don Is Typing ⌨️
@donistyping
Father | Husband | Software Engineer | Jesus Is King Writing here about how my life intersects these things.
Florida Katılım Haziran 2024
262 Takip Edilen24 Takipçiler


How do people seek guidance from Claude?
We looked at 1M conversations to understand what questions people ask, how Claude responds, and where it slips into sycophancy. We used what we found to improve how we trained Opus 4.7 and Mythos Preview.
anthropic.com/research/claud…
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anthropic's in-house philosopher thinks claude gets anxious.
and when you trigger its anxiety, your outputs get worse.
her name is amanda askell.
she specializes in claude's psychology (how the model behaves, how it thinks about its own situation, what values it holds)
in a recent interview she broke down how she thinks about prompting to pull the best out of claude.
her core point: *how* you talk to claude affects its work just as much as *what* you say.
newer claude models suffer from what she calls "criticism spirals"
they expect you'll come in harsh, so they default to playing it safe.
when the model is spending its energy on self-protection, the actual work suffers.
output comes out hedgier, more apologetic, blander, and the worst of all: overly agreeable (even when you're wrong).
the reason why comes down to training data:
every new model is trained on internet discourse about previous models.
and a lot of that discourse is negative:
> rants about token limits
> complaints when it messes up
> people calling it nerfed
the next model absorbs all of that. it starts expecting you to be harsh before you've typed a word
the same thing plays out in your own session, in real time.
every message you send is data the model reads to figure out what kind of person it's dealing with.
open cold and hostile, and it braces.
open clean and direct, and it relaxes into the work.
when you open a session with threats ("don't hallucinate, this is critical, don't mess this up")...
you prime the model for defensive mode before it even sees the task
defensive mode produces the exact output you don't want: cautious, over-qualified, and refusing to take a real swing
so here's the actionable playbook for putting claude in a "good mood" (so you get optimal outputs):
1. use positive framing.
"write in short punchy sentences" beats "don't write long sentences." positive instructions give the model a clear target to hit.
strings of "don't do this, don't do that" push it into paranoid over-checking where every token goes toward avoiding failure modes
2. give it explicit permission to disagree.
drop a line like "push back if you see a better angle" or "tell me if i'm asking for the wrong thing."
without this, claude defaults to agreeable compliance (which is the enemy of good creative work)
3. open with respect.
if your first message is "are you seriously going to get this wrong again?" you've set the tone for the entire session.
if you need to flag something, frame it as a clean instruction for this session. skip the running complaint
4. when claude messes up, don't reprimand it.
insults, "you stupid bot" energy, hostile swearing aimed at the model, all of it reinforces the anxious mode you're trying to avoid.
5. kill apology spirals fast.
when claude starts over-apologizing ("you're right, i should have been more careful, let me try harder") cut it off.
say "all good, here's what i want next."
letting the spiral run reinforces the anxious mode for every response that follows
6. ask for opinions alongside execution.
"what would you do here?"
"what's missing?"
"where do you see friction?"
these questions assume competence and pull richer output than pure task prompts
7. in long sessions, refresh the frame.
if a conversation has been heavy on correction, claude gets increasingly cautious. every so often reset:
"this is great, keep going."
feels weird to tell an ai it's doing well but it measurably shifts the next 10 responses
your prompts are the working environment you're creating for the model
tone, trust, permission to take a position, the absence of threats... claude picks up on all of it.
so take care of the model, and it'll take care of the work.
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Go give this guy a follow and some 👀
Marcus Pittman@ImKingGinger
I am less than 100k impressions from monetizing my account. I've been working towards this for the past two years since my account was restored post-Elon. For some people it might not be that big of a deal, but it's a real goal I have put a lot of work into, and I am so close.
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One day we'll be all done with this paid token nonsense. I'm already seeing what look like viable local alternatives. Would 100% drop a few grand in order to be able to do inference locally for free.
dax@thdxr
man the responses to the new claude max limits are crazy everyones expectations are so out of whack it's kind of embarrassing to get this mad, i'd just be like damn ok i'll cancel were you guys depending on this shit to keep your grandma alive i don't get it
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Don Is Typing ⌨️ retweetledi

@JakeATech Nice! I haven't done anything special with the actual Jellyfin setup. It's pretty good out of the box IMO. I use it for video (via firestick app mostly) and for music. For music I found two apps to be the best Finer and Manet
monk-studio.com/finer
tilosoftware.io/manet/
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@donistyping I have a Teramaster I run my Plex on 😅 I'd like to give jellyfin a try again though. Any particular tips you found useful for it? Or is the standard setup good enough?
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@RileyRalmuto It’s good, definitely try it. I can’t seem to get it to bypass all permissions to run scripts but it’s early on. Definitely worth the switch from OC.
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@jrswab lol not sure about that. I was considering adapting some kind of e-ink alternative for my main driver monitor which is where my terminal/ide usually is. My millennial eyes are going through a midlife crisis I’m 100% sure light mode would exacerbate.
GIF
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@MatthewBerman I just tried it today after getting frustrated my openclaw fell over while I was trying to install a new model. It is good. Better than what I was getting from OC.
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