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ilmoi
15.9K posts
ilmoi
@ilmoi
serial founder, exits to @coinbase @f5
sf Katılım Ağustos 2019
2.7K Takip Edilen30.2K Takipçiler
ilmoi retweetledi
ilmoi retweetledi
ilmoi retweetledi
Naval Ravikant: "You're going to die. It's all going to zero. What's there to stress about?"
"Stress is when your mind has two conflicting desires at once. You want to be liked, but you want to do something selfish. You don't want to go to work, but you want to make money. You have two conflicting desires, and that's stress."
Naval explains the difference between stress and anxiety:
"Anxiety is this pervasive, unidentifiable stress where you're stressed out all the time and you're not even sure why. The reason is you have so many unresolved problems that have piled up in your life, you can no longer identify what the problems are. There's this mountain of garbage in your mind. A little bit is poking out the top like an iceberg; that's anxiety. But underneath, there's a lot of unresolved things."
He shares his personal anxiety resolver:
"One big anxiety resolver for me is just ruminating on death. You're going to die. It's all going to zero. You cannot take anything with you. If you can keep that idea in front of you at all times, what's there to stress about?"
Naval reframes what "wasted time" really means:
"What is wasted time? Everything is wasted time in a sense because nothing matters in the ultimate. But in each moment, it's the only thing that matters. So if you're doing something you want to do and you're fully there for it it's not wasted time. If your mind is running away, wishing you were somewhere else, anticipating the future, regretting the past, that's wasted time. That's time you're not present for."
He concludes:
"People get worried about dying and no longer being here. But they don't realize that so much of their life is spent not being here in any case."
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Couldn’t fall asleep for 3 hours in bed after some jet lag.
Then I turned on a Lex episode and I fell asleep within 5 minutes.
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@buffalu__ in some ways
but not in others: the cost is your (founder) time, and that's arguably the most precious resource in the company
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This is exactly what I feel. I just never had the right words to express it
ilmoi@ilmoi
best ideas come from tinkering but if you're ambitious you feel urgent and at war feels wrong to tinker at war yet this is the only way. must hold 2 contradicting ideas in your head at the same time
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@broodsugar @Melt_Dem lmao I knew you'd be in comments
best seed check I wrote
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1/ mapping the physical world is such an interesting challenge
roads are rule driven and largely 2d, cars have limited range of motion, so making roads machine readable and usable is feasible
the real fun begins with complex 3d space with no rules and more expressive motion
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i think every founder suffers from same disease
"the overoptimistic underestimating brain"
i have never yet in my founder journey woken up and thought "oh wow that took less than I thought and was as easy as I thought"
it's always: "we planned too much, we can do 1/10th maybe if we get lucky and really try"
which is why focus is so important
radical focus means you choose the 1/10th that actually matters
so stay focused
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@chris_j_paxton isnt the problem manufacturing >at scale< that drives down cost?
aka if humanoid can do everything > becomes hyper cheap > nothing else can compete, even if could be built more custom
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If youre truly ai pilled how could you square that with humanoid robots? I feel like ai-assisted cad + manufacturing + cross embodiment learning + high fidelity simulation would allow for an infinite profusion of diverse robots for different ecological niches
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The biggest blocker to your dreams is yourself
Keep re-discovering this every year
Umar@umzrs
The guy who wakes up at 10am and goes straight to his laptop Will go further than the guy who wakes up at 6am, journals, meditates, and does everything except the actual WORK Don't get caught in the self improvement trap without actually moving the needle
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ilmoi retweetledi
One of the coolest companies in current batch
Check them out!
Y Combinator@ycombinator
Origami Robotics is building high-DOF robotic hands with in-joint motors and a co-designed data-collection glove to eliminate the embodiment gap by collecting high-quality, real-world data at scale. Congrats on the launch, @DanielXieee and @QuanliangX! ycombinator.com/launches/Pcl-o…
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ilmoi retweetledi
Why does manipulation lag so far behind locomotion? New post on one piece we don't talk about enough: The gearbox. The Gap You've probably seen those dancing humanoid robots from Chinese New Year. Locomotion isn't entirely solved; but clearly it's on a trajectory. But we haven't seen anything close for manipulation. 𝗪𝗵𝘆? When sim-to-real transfer fails, the instinct is to blame the algorithm. Train bigger networks. Crank up domain randomization. Those approaches have made real progress; we don't deny that. But we started wondering: are we treating the symptom or the disease? The Hardware Bottleneck: Fingers are too small for powerful motors. So most hands use massive gearboxes (200:1, 288:1) to get enough torque. But those gearboxes break everything manipulation needs:
• Stiction and backlash are complex to simulate. Policies trained on smooth physics hallucinate when they hit that reality.
• Reflected inertia scales as N². At large gear ratio, the finger hits with sledgehammer momentum.
• Friction blocks force information. The hand becomes blind.
And they're the first thing to break. What we are trying to build at Origami, we cut the gear ratio from 288:1 to 15:1 using axial flux motors and thermal optimization. The transmission becomes more transparent: backdrivable, low friction, forces propagate to motor current. Early signs are encouraging. Still running quantitative benchmarks. Why Interactive? I love how Science Center uses interactive devices to explain complex ideas. I want to borrow this concept and help people understand the hard problems in robotics better visually. The post has demos where you can toggle friction, slide gear ratios, watch the sim-to-real gap widen in real-time. What's inside:
• Interactive demos (friction curves, N² scaling, contact patterns)
• Comparison table: 14 robot hands by sim-to-real gap and force transparency
• The math behind why low-ratio matters
Read it here: origami-robotics.com/blog/dexterity… We're not claiming we've solved dexterity. The deadlock has many pieces. But we think this one's foundational. Curious what you think.
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