Spending too much time with AI Mechanical Men & @chartzXYZ Prev. exited @brokkrfinance

Instinct's waitlist doesn't recognize Czech Republic as a country 💀 You have Kazakshtan but not Czechia?
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You can't even log in to your old Evernote account without subscribing to a plan. All while having a slow buggy site. Burn
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Bending Spoons is on a roll. If you run a SaaS, are you worried they’ll buy you, or hoping they do?
BREAKING: we've officially entered a deal to acquire Miro for $1.355B! 😍
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Videos can now be generated faster than watched. A swarm of mid AI tiktok companies incoming..
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A humanoids can outrun Bolt Plugging in a cable is still hard Which one tells us more about the state of robotics? 😅
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yes, i heard about food delivery 😅
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It's ridiculous how cute some of these robots are. Cuteness index will become the most important metric
We have a huge news to share today! Today we are unveiling the first truly accessible RL robot - welcome Microduck A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforcement learning. It's also playable out of the box with more than half a dozen fun and playful pre-trained policies to have it walk, sit, crouch, roller-skate, pick up objects with its articulated beak, and recover on its own. And all for less than $400. See all the details, play with the simulator and order it at: pollen-robotics.com/microduc… (video with sound on 🔊)
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Hands down the cutest robot 🥹 @ascento_robot But why security. I want it as a minion that will follow me like a dog.
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I got curious about what the robotics market looks like, especially in Europe. Found 200+ robotics-adjacent companies here! I expected way fewer. Unsurprisingly, the main use case is around industrial and logistics robots. But there's also a LOT of startups building the data, sw, and infrastructure around them. Maybe is Europe better positioned for the robotics wave than for AI?
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Can you tell when your brain is tired? Your smartwatch tells you if your body is, but what about your head? While playing chess, on some days I see patterns almost immediately. On others, I miss blunders that would normally be obvious. Same thing when I played poker. A clear +EV spot could be harder to spot or just take longer to figure out. And I’m wondering how transferable this is outside of games. Maybe working memory is slightly worse that day. Pattern recognition is slower. You’re not as sharp at comparing alternatives or noticing details. But you keep making decisions as usual because you don’t know. But how much does this actually matter? Would your decisions be meaningfully better if your brain was 5% fresher? Probably not if you’re answering routine emails or making decisions you’ve made a thousand times. But what about deciding who to hire? Evaluating a strategy? Reviewing an investment? Ofc unlike games, in real life you rarely get an immediate feedback. There is no engine telling you the new hire was a miss, or that you overlooked a pattern in your analysis. So I’m curious how much cognitive functions can fluctuate day to day, and how much that affects decision making. Long-term sleep deprivation is measurable. Regular daily variance maybe not. It would be interesting to pair a brain-tracking device with a short daily test for pattern recognition, reaction time and memory. And then connect it with actual output: chess, poker, or work done with agents. Maybe one might find correlations between the brain activity and actual decision quality and then optimize when to make decisions?
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I’ve been skeptical of humanoid robots. Wheels or a purpose-built design seem more efficient than the human body. But if @BerntBornich is right, and 1X humanoids can learn from general videos of people because their bodies are so similar to ours, that could be a game changer. Humanoids might not be the most efficient HW design. But it might provide access to the best training dataset ever created. If that works, ggwp.
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I feel like I'm grinding ps zoom again lol @chartzXYZ
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I dropped a 5kg plate on my foot at the gym yesterday. Here are 3 lessons it taught me about running a business: 1. It hurts 2. It was my fault 3. I will probably do it again Follow me for more founder wisdom.
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Everyone’s posting how many agents they have in the org. I’m still waiting for the post showing what they actually did.
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Is anyone building the European Tenex? Talking to a thousand Fortune 500 execs before breakfast, hiring the most cracked AI engineers in the universe, and larger than the entire alphabet. Jokes aside, who is doing this in Europe?
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Great @lennysan episode with @ericries on how companies lose their values. He’s a great storyteller, btw. I think the same thing can happen with personal values too. I just went through it myself. We all have beliefs about who we are. But one day, you get into a situation you’re not prepared for. Two viewpoints or loyalties clash, so you make a small, logical compromise that feels totally justified in the moment. Then another one. Until you realize you’re acting against your own principles. Changing priorities over time makes sense. Compromising does too. But at what point are you no longer adapting and just betraying your values? Ries gives the Groupon example: sending more emails made more money. One extra email is easy to justify, but you start adding more and more because it makes more money. But at some point, it all starts falling apart. Where is the line? I suppose sometimes you have to cross boundaries to actually find them. Especially when they're not clearly defined. But ofc, if you’re a pharma inhaler company selling yourself to a tobacco company, there probably isn’t much left to clarify. An independent governance that protects the mission doesn't sound that bad now, does it? And personally, I found some of mine by setting them on fire. It hurts, but you have to reset and come back.
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the episode →
"A lot of people liked the Lean Startup, but no one ever said it made them cry." In 16 days, @EricRies's new book Incorruptible comes out. It's about why you can taste it when your favorite restaurant gets bought by a PE firm, why even Steve Jobs got fired from Apple, and why over 80% of founders get fired within 3 years of taking their company public. In our real-talk conversation, we discuss: 🔸 "Financial gravity": the force that predictably pushes successful companies into mediocrity 🔸 The Groupon email death spiral every public company eventually runs 🔸 "It is always too early to protect your company. Until it's too late." 🔸 The "governance fortress" Anthropic, Costco, and Patagonia all have—and your company probably doesn't 🔸 Three things founders can do this week to protect their company long-term. Listen now 👇 piped.video/PoJ1vTdHpks
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I'm wondering if TurboQuant can be combined with what Bottlecap is building. More efficient inference + architecture = local models FTW? @jaroslavbeck
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one man and a dream
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How far can I go without analyzing games? 😅
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