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middle of nowhere
Joined March 2021
Photo by dailylarper (@dailylarper)Photo by dailylarper (@dailylarper)Photo by dailylarper (@dailylarper)Photo by dailylarper (@dailylarper)Photo by dailylarper (@dailylarper)Photo by dailylarper (@dailylarper)Photo by dailylarper (@dailylarper)Photo by dailylarper (@dailylarper)
lovely use case of AI
Spent 3 weeks building a texting app slower than email. Messages fly at pigeon speed — LA to NYC takes 22 hrs. Sometimes the bird dies & the message isn’t delivered.
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Replying to @tylerxhobbs
@tylerxhobbs fidenza nft?
First look at the new LEGO Art The Kiss set! Coming in August for $300.
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BTC <> MSTR <> STRC
Strategy announces a Digital Credit Capital Framework designed to strengthen Digital Credit, enhance liquidity, preserve long-term Bitcoin exposure, and support long-term value creation. $MSTR $STRC strategy.com/press/strategy-…
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when the temu AI labs come to SG
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using AI in 2026
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the lion does not concern itself with being raped
Traders logging into their brokerage account every morning
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gm sunshine it's a wonderful morning today come out and play (with the rainbow)
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majulah singapura 🇸🇬
OpenAI for Singapore 🇸🇬
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gm anons
A KEUREGG for eggs in the morning. Lazy but low key want it.
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bro is making ~10 trades every single day NEVER STOP CLICKING
President Trump reportedly filed a 113-page disclosure showing over 3,600 transactions so far in 2026. The filing appears to show $1M+ positions in: • $NVDA • $NOW • $ADBE • $WDAY • $ORCL • $MSFT • $AVGO • $AMZN • $UBER • $AAPL • $BA • $DELL
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Live from Code with Claude: we're launching dreaming in Claude Managed Agents as a research preview. Outcomes, multiagent orchestration, and webhooks are now in public beta.
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gotta catch dem all
"So you buy pieces of cardboard with cartoon characters on them and outperform the S&P 500?" "That's right Dave" "And these pieces of cardboard appreciate in value?" "Most of them yes" "And how much did you pay for this particular card?" "$250" "And what's it worth now?" "$5,000 Dave" "And you just kept the card for 4 years and did nothing?" "That's correct" "So you didn't start a business. You didn't build anything. You just bought a picture of a cartoon dragon and put it in your closet?" "It's actually a Rayquaza Dave" "I don't care what it's called. You're telling me a piece of cardboard outperformed the S&P 500?" "By a significant margin yes" "And these cards just keep appreciating in value? How is that even possible?" "Honestly I'm not sure Dave"
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IYKYK
IBKR = I Buy Korea Right Now
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飛雷神の術 (Flying Thunder God Technique)
They call him the Black Flash of The Hidden Leaf
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inb4 the type of AI used is telling of one’s SES
80% of US adults who report using Claude in the previous week live in households earning $100,000 or more a year, compared to 37% of Meta AI users. Other major providers cluster in a relatively narrow band, with 56–64% of users in $100,000+ households.
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this the kind of abg u looking for CT anon?
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wait what?!?!?
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models. Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.
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emotional health... but for agents
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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