Godwin of the future
11.8K posts

Godwin of the future
@godwin_ou
Believer of the Gospel | Interested in Economics, Finance and Health technology. Building Sparspay. Software Dev Building the future of Business data. iPublish

One thing I found interesting in 2021/22 and still find funny now is The people who championed higher pay becoming founders and going completely against their mantra when hiring I’ll see someone who shit on $2500 back then asking if I know mid level dev for 300k


Director Salary: ₦1.2M per month Analyst Salary: ₦120,000 per month Director: Sends voice note : “Make it happen by EOD.” (12 seconds long) Analyst: stays up all night, builds 3 scenario models, runs stress tests, presents flawless report. Reply: This is basic stuff, step it up. Director cashes ₦4.8M end of year bonus. Analyst receives: A keychain and a LinkedIn post tagging them as valuable team player. Corporate beeches

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.

A grand jury indicted a Florida doctor on a charge of second-degree manslaughter for allegedly removing a patient's liver instead of his spleen during a 2024 surgery. abcnews.link/bbmMxh8



THEY SENT FOUR HUMAN BEINGS 452,000 KILOMETRES BEHIND THE MOON AND BROUGHT THEM BACK TO SPLASH DOWN IN THE EXACT SPOT THEY CALCULATED BEFORE THEY EVER LEFT THE GROUND THE MATHEMATICS WORKED. THE PHYSICS HELD. THE SILENCE ENDED. EVERY ENGINEER, MATHEMATICIAN, PHYSICIST, AND PROGRAMMER WHO TOUCHED THIS MISSION IS THE COOLEST PERSON ALIVE AND THEY KNOW IT WELCOME HOME

Serious question: Did religion make people stupid, or does it work because people are stupid?





The service chiefs should all resign.

@DrNeilStone Are you a doctor? Do you know that bacteria is treated with antibiotics?













