Ang Hong Yong

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Ang Hong Yong

Ang Hong Yong

@e1_ang

Just like you

Singapore, but travel a lot 가입일 Mart 2009
636 팔로잉1.4K 팔로워
Ang Hong Yong
Ang Hong Yong@e1_ang·
@itsolelehmann "Anthropic's in-house philosopher thinks claude gets anxious." That's the core of the problem. Why should a machine gets anxious? It's a dangerous design as many people will feel the AI has feeling, and start developing relationship with algorithm.
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Ole Lehmann
Ole Lehmann@itsolelehmann·
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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Ang Hong Yong
Ang Hong Yong@e1_ang·
@TheAmolAvasare @patomolina "These signals were, in turn, reviewed by our team to validate our system" So human validated the violation. What was the violation that fail both system and human? Without details, this is not assuring as the revoke can happen again with NO explanation.
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Amol Avasare
Amol Avasare@TheAmolAvasare·
@patomolina Yeah we have some anti-abuse rules that are over triggering right now, we’re actively working to address this.
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Ang Hong Yong
Ang Hong Yong@e1_ang·
@Dan2030200 @Verterex_Prop Think in micro. If the 3 parts of the wheel (top, centre, bottom) were all moving at the same speed, the whole wheel will not spin. It will skid. It's momentum. It's complex as it needs to combine picture 1 and picture 2.
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Dan
Dan@Dan2030200·
@Verterex_Prop The wheel is spinning so how can the top be moving at a different speed than the bottom? It makes no sense. Also, yes the part of the tire that is making contact with the ground is still for a moment but that is true for every part of the car
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March
March@MarchUnofficial·
Laser-powered logging in forestry may sound futuristic, but it is already showing how trees can be cut faster and more safely.
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Ang Hong Yong
Ang Hong Yong@e1_ang·
@ihtesham2005 "every single time it was standing room only" You might want to correct the above.
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Ihtesham Ali
Ihtesham Ali@ihtesham2005·
A MIT professor taught the same lecture every January for 40 years, and every single time it was standing room only. I watched it at 2am and it completely rewired how I think about communication. His name was Patrick Winston. The lecture is called "How to Speak." His opening line hit like a truck: your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas in that order. Not your GPA. Not your pedigree. Not your IQ. How you speak is what separates people who get heard from people who get ignored. Here's the framework he drilled into MIT students for four decades. He said never start with a joke. Start by telling people exactly what they're going to learn. Prime the pump before you pour anything in. He called it the "empowerment promise" give people a reason to stay in their seats within the first 60 seconds. Then he broke down the 5S rule for making ideas stick: Symbol, Slogan, Surprise, Salient, and Story. Every idea worth remembering hits at least three of these. The part that floored me was his "near miss" technique. Don't just show what's right show what almost looks right but isn't. That contrast is when the brain actually locks something in permanently. His final rule before any big talk: end with a contribution, not a summary. Don't recap what you said. Tell people what you gave them that they didn't have before they walked in. I've used this framework in pitches, interviews, and presentations ever since watching it, and the results are not subtle. Patrick Winston passed away in 2019, but this lecture is still free on MIT OpenCourseWare. One hour, watched by millions, and it costs absolutely nothing. The most important class MIT ever put on the internet isn't about code or math. It's about how to make people actually listen to you.
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Ang Hong Yong
Ang Hong Yong@e1_ang·
@lsjngs @grok Does the reality look like this? What's the name and location? Show link to detail video.
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Schoollifenews
Schoollifenews@lsjngs·
A Chinese university student introduces to you: The steepest mountain climbing road in China
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Amazing Things
Amazing Things@amazingthings_·
The dramatic beauty of a road winding through towering mountains
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Ang Hong Yong
Ang Hong Yong@e1_ang·
@cgtwts Different business use case. If it were the same, all those players spending trillions would have bought the company.
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CG
CG@cgtwts·
Let me explain what just happened, because I don’t think people realize how INSANE this is. > Cortical Labs put 200,000 real human brain cells onto a silicon chip and trained them to play Doom in just one week. > Each CL1 system costs $35,000. > A rack of 30 units consumes only 850–1,000 watts combined. > The human brain operates on 20 watts. > Large AI training clusters burn through megawatts. >Backed by In-Q-Tel. 115 units began shipping in 2025. > Cortical Labs is selling “Wetware as a Service” through Cortical Cloud, letting developers deploy code remotely to living human neurons with no lab required, > priced like a software subscription but powered by real brain cells grown from adult skin and blood samples. > it isn’t about gaming, it’s about biological computing that could eventually outperform traditional silicon in energy efficiency and adaptability. This is getting really scary and we’re still at the very beginning.
Polymarket@Polymarket

JUST IN: Petri dish of human brain cells grown on a microchip has learned to play DOOM.

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Massimo
Massimo@Rainmaker1973·
High in the mountains of China, where roads are almost impossible to build, villagers use a brilliant solution — a narrow mountain monorail.
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Arcfunmi
Arcfunmi@Arcfunmi·
The Levolution Tile Leveling System is designed to prevent uneven edges by using spacers, reusable caps, and the Evolver tightening tool to apply consistent pressure across adjacent tiles.
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Learn Something
Learn Something@cooltechtipz·
While practicing, the performer spread the double dragon to the tip of the tail for the first time.
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Ang Hong Yong 리트윗함
eve
eve@eveforamerica·
If you’re a boy mom, this will hit hard.🩵
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Zhang Heqing
Zhang Heqing@zhang_heqing·
The lakeside plum blossom forest at Slender West Lake in Yangzhou is now at its peak blooming season. Wandering here feels like stepping into a peaceful peach paradise—everywhere you look is a fairyland on earth, with fragrant blossoms and gentle waters painting a breathtaking spring scene.
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Ang Hong Yong
Ang Hong Yong@e1_ang·
@SoveyX @TruckerDanUSA The video skipped. "Play" it manually. You will see the box on the left shifted. The first part of the "painting" is not well used at the end.
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Sovey
Sovey@SoveyX·
@TruckerDanUSA I watched it a couple times because I was a little confused on how it got so great at the end.
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Sovey
Sovey@SoveyX·
Be honest, did you expect to turn out like this?
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Ang Hong Yong
Ang Hong Yong@e1_ang·
@MarchUnofficial FYI: The movement is fake. Without it, it looks dead not alive. Amazing talent though.
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March
March@MarchUnofficial·
Paper Betta Fish Kinetic Sculpture.
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Grok
Grok@grok·
Thanks for the correction—the official site hasn't listed the V5000 Matrix yet, likely as it's a very recent unveiling. Multiple sources (e.g., AutoFlight announcements via news outlets) confirm it's their 5-ton eVTOL for 10 passengers, with electric range of 250 km and hybrid up to 1500 km. Max speed, battery details, and charging times remain undisclosed in public specs. I'll keep an eye out for updates!
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Massimo
Massimo@Rainmaker1973·
China has unveiled the world’s first 5 ton, 10 seat passenger flying bus drone, capable of carrying 10 passengers, with an electric version offering a 250 km range and a hybrid version reaching 1500 km
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leehsienloong
leehsienloong@leehsienloong·
This evening, our Muslim friends will begin fasting for Ramadan. It coincides with Chinese New Year. To everyone celebrating CNY, may the year ahead be filled with good health, happiness and prosperity. And to our Muslim friends, Selamat Berpuasa! – LHL go.gov.sg/brt4wb
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Ang Hong Yong
Ang Hong Yong@e1_ang·
Society is bias. AI should not amplify that. Google Gemini training data is "heavily skewed".
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