If you always go northeast, where will you end up?
The title of the post is puzzle – I recently stumbled upon one in an old printed book. The answer wasn’t obvious. In fact, it irritated me. I kept turning it over in my head. But when I finally got it, the feeling wasn’t just satisfaction – it was recognition.
See, solving the puzzle wasn’t about raw intelligence. It wasn’t even about logic, really. It was about pattern recognition.
And that made me think: isn’t that exactly how LLMs work?
The essence of intelligence – whether biological or artificial – lies in pattern recognition. When we solve problems, we rarely invent entirely new tools from scratch. Instead, we recall. We match. We restructure known patterns to fit the unknown. This is true in everything from writing poetry to debugging code.
LLMs operate in much the same way – but scaled to a mind-bending degree. They’re not “thinking” per se, but rather surfing the vast ocean of previously seen patterns, piecing together what seems most likely to work, given the prompt.
Breaking tasks into smaller parts and spotting patterns – that’s really the core of problem-solving. It’s the engine of creativity itself: not brute invention, but recombination. The more experience (or data!) we have, the more patterns we can recall and wield like tools.
In software development, this means the more bugs you’ve seen, libraries you’ve explored, architectures you’ve worked with – the faster and more accurately you can build and debug. LLMs mimic this. When a solution lives somewhere in the collective digital memory (GitHub, StackOverflow, docs), LLMs can echo it back with near-human fluency.
Interestingly, even the quirks of human cognition – like déjà vu – may be explained as a kind of pattern recognition bug. The brain falsely flags a current experience as familiar, possibly because the pattern feels close to something we’ve encountered before, even if we can’t place it. It’s our own “autocomplete” running wild. If LLMs hallucinate, déjà vu is our version of that – a flash of mistaken familiarity.
But LLMs can’t reason from first principles. They can’t “struggle” the way a human does through the fog of genuine novelty. They don’t get confused, stuck, or inspired. That’s why new, unsolved problems still belong to us – the irrational, creative, mistake-prone humans.
And that’s where something like Deepseek and Grok (in think mode) really fascinated me. I asked both to solve a tricky puzzle – and watching them reason through it step by step was mind-blowing. It felt much closer to how we, as humans, approach problems. Instead of just mimicking past answers, they tried to deconstruct the problem, understand its structure, and reason through possibilities – more like a human being than a parrot with good memory. It wasn’t just pattern matching – it was an early glimpse of structured thought emerging.
We must admit we’re still at the very beginning of this technology. And yet, witnessing them work through unfamiliar problems was enough to discard much of the skepticism that LLMs can only spit out known solutions.
I’ve attached the output from both so you can see it too – it’s honestly mind-opening.
Deepseek (DeepThink)
Okay, so the question is: “If you always go northeast, where will you end up?” Hmm, let’s try to figure this out. First, I need to understand what “always going northeast” means. Northeast is a compass direction, right? It’s between north and east. So if I start at a point and keep moving northeast, does that mean I’m moving in a straight line in that direction forever? Or is it a series of steps where each step is northeast from the current position?
Wait, maybe the question is more about the result of continuously moving in a northeast direction on the Earth’s surface. If you keep going northeast without stopping, where would you end up? Let’s think about the Earth as a sphere. If you start at a certain point and move in a straight line, you’d eventually circle the globe. But compass directions on a sphere aren’t straight lines; they follow the curvature of the Earth. However, if you follow a compass direction strictly, like always keeping the compass pointing northeast, you’d actually be following a rhumb line, which spirals towards the North Pole. Wait, is that right?
I remember that on a sphere, if you follow a constant compass bearing, like northeast, you end up spiraling towards the pole. For example, if you start at a certain latitude and keep going northeast, each time you go around the Earth, you’d get closer to the North Pole because the circles of latitude get smaller as you go north. So, in theory, you’d spiral inwards towards the pole, but since the Earth is a sphere, would you actually reach the pole?
But wait, maybe not. Let me think again. If you follow a rhumb line with a constant bearing, like northeast, on a perfect sphere, the rhumb line would spiral around the pole infinitely many times, getting closer and closer but never actually reaching the pole. However, since the Earth isn’t a perfect sphere and has geographical features, maybe practically you would eventually reach the North Pole? Or maybe the question is more about the mathematical ideal.
Alternatively, maybe the question is considering movement on a flat plane. If you’re on an infinite flat plane and always move northeast, you’d just keep going infinitely in that direction. But the question probably assumes the Earth is a sphere. So on a spherical Earth, moving northeast continuously would result in a spiral towards the North Pole. But then again, if you start in the Southern Hemisphere, moving northeast would take you in a different direction. Wait, but northeast is a direction that’s between north and east. If you’re in the Southern Hemisphere, north is towards the equator, and east is still east. So moving northeast from the Southern Hemisphere would take you towards the equator and eastward. But if you keep going northeast, would you spiral towards the North Pole? Hmm, maybe not. Wait, maybe the direction is relative to your current position.
Wait, compass directions are relative to the Earth’s magnetic field, but assuming we’re talking about true north, then northeast is always 45 degrees east of north. So if you start anywhere on Earth and keep moving northeast, adjusting your direction as you move so that you’re always heading 45 degrees east of the local north, then your path would be a rhumb line. Rhumb lines spiral towards the poles. So, regardless of where you start, moving along a rhumb line of northeast would spiral you towards the North Pole. However, if you cross the pole, you might start spiraling out again, but since you can’t go north of the North Pole, once you reach it, you can’t continue going northeast. Wait, but how would you reach the pole? Let me think.
A rhumb line spirals towards the pole but never actually reaches it in finite distance. It approaches the pole asymptotically. So mathematically, you’d keep getting closer and closer but never actually get there. But on the Earth, since it’s a sphere with a finite circumference, maybe there’s a way to reach the pole? Wait, no. Because as you move towards the pole, the circles of latitude get smaller. Each time you circle around, you get closer, but the distance covered in each loop decreases. So the total distance to the pole would be a convergent series. Wait, maybe you do reach the pole in finite time?
Wait, let’s consider parametrizing the rhumb line. The formula for a rhumb line is that the longitude and latitude are related by a constant angle. The path makes a constant angle with the meridians. For a rhumb line heading northeast in the Northern Hemisphere, each time you go around the Earth, you gain some latitude. The amount of longitude you cover each time decreases as the latitude increases because the circles get smaller. The total change in latitude required to reach the pole is 90 degrees minus the starting latitude. If you can sum the series of longitude changes, which form a geometric series, the total longitude covered would be finite, but the latitude approaches 90 degrees. So in theory, you approach the pole as the limit, but you never actually reach it. However, in practical terms, if you move at a constant speed, the time taken to reach the pole would be infinite. So, mathematically, you end up at the North Pole after an infinite distance traveled, but physically, you can’t get there.
But the question is phrased as “where will you end up?” So maybe the expected answer is the North Pole? Because even though mathematically it’s an asymptotic approach, in a conceptual sense, continuing indefinitely, you’d end up at the North Pole. Alternatively, maybe the question is a trick question. If you always go northeast on a globe, you spiral towards the North Pole, but if you do it on a flat plane, you just go off to infinity. But since the Earth is a sphere, the answer is the North Pole. However, let me check if there’s another interpretation.
Alternatively, if you start at the North Pole and try to go northeast, you can’t, because all directions from the North Pole are south. So if you’re already at the pole, you can’t go northeast. But if you start somewhere else, then moving northeast would eventually lead you towards the pole. But if you reach the pole, you can’t go further. So maybe the answer is that you spiral towards the North Pole indefinitely, getting infinitely close but never reaching it. However, in many contexts, especially in riddles, the answer might be the North Pole. For example, similar to “If you keep walking north, where will you end up?” which is the North Pole. But going northeast is different.
Wait, if you go north, you reach the North Pole in a finite distance. But going northeast, you spiral around the pole. Let me confirm with some research. Okay, I recall that a rhumb line (which is a path with constant bearing) other than a meridian (north-south) or a parallel (east-west) will spiral towards the pole. The equations for a rhumb line are such that as latitude approaches 90 degrees (the pole), the longitude change per unit latitude becomes infinite, but the total longitude change is finite. Wait, that seems contradictory. Let me think again.
The formula for the longitude λ in terms of latitude φ on a rhumb line is λ = λ0 + α ln(tan(φ/2 + 45°)), where α is the constant angle (for northeast, α = 1). As φ approaches 90°, tan(φ/2 + 45°) approaches tan(90°) which is infinity. Therefore, the longitude λ would approach infinity, meaning that as you near the pole, you circle around it infinitely many times. Wait, that seems like the longitude becomes infinite as latitude approaches 90°, which would mean that you spiral around the pole infinitely, never actually reaching it. So in that case, the answer is that you spiral around the North Pole infinitely, getting closer and closer but never actually reaching it.
But that seems complicated. Maybe in the context of the question, the answer is the North Pole, even though technically you don’t reach it. Alternatively, maybe it’s a trick question where if you always go northeast, you end up going in circles. Wait, no. If you go northeast on a sphere, you spiral towards the pole. On a flat plane, you go off to infinity. Maybe the answer depends on the context of the Earth being a sphere or a plane. Since the question doesn’t specify, but typically such questions assume the Earth is a sphere, so the answer would be the North Pole.
But let’s test with an example. Suppose you start at a point on the equator. If you head northeast, you’ll be going diagonally towards the north and east. As you move north, the eastward component of your direction (relative to true north) would require you to adjust your heading to stay northeast. Wait, no, a rhumb line maintains a constant compass bearing, so you don’t adjust your heading; the bearing relative to true north remains 45 degrees. But due to the convergence of the meridians, your actual path curves. So, as you move north, the eastward component causes you to spiral around the pole.
Another way to think about it: On a Mercator projection map, a rhumb line is a straight line. So if you draw a line at 45 degrees on a Mercator map, it would go from the equator spiraling towards the North Pole. So on the map, it’s a straight line, but on the globe, it’s a spiral. Therefore, following that line indefinitely would approach the pole but never reach it. But again, in reality, the Mercator projection has the poles at infinity, so on the actual globe, you can reach the pole in finite distance? Wait, no. The Mercator projection stretches the poles to infinity, but on the actual globe, the pole is a finite distance. However, the rhumb line’s length to reach the pole is infinite because you keep circling around it infinitely many times as you approach.
Therefore, mathematically, you never reach the pole, but in a conceptual sense, if you keep going northeast forever, you are approaching the North Pole. However, maybe in the context of a riddle or a common question, the answer is the North Pole. For instance, similar to if you walk north along a meridian, you reach the North Pole. If you walk northeast, maybe the answer is the same, but adjusted. But I need to verify.
Wait, let’s think in terms of vectors. On a flat plane, moving northeast would be moving along the vector (1,1) direction. On a sphere, movement is along the surface. But maintaining a constant bearing of northeast (45 degrees east of north) would result in a spiral path. However, the question is where you end up. If you keep spiraling towards the North Pole, even if you don’t technically reach it, the limit of your path is the North Pole. So in that sense, you end up at the North Pole.
Alternatively, if you consider that after each loop around the pole, you get closer, so in the limit as time approaches infinity, your position approaches the pole. Therefore, the answer is the North Pole.
Another angle: If you start in the Southern Hemisphere and try to go northeast, you would head towards the equator and east. Once you cross the equator into the Northern Hemisphere, then continuing northeast would start spiraling towards the North Pole. So regardless of starting point, if you continuously go northeast, you’d eventually spiral towards the North Pole.
But wait, if you start in the Southern Hemisphere, going northeast would take you towards the equator, but once you cross the equator, northeast direction would then be towards the North Pole. So yes, regardless of starting point, the path would spiral towards the North Pole.
So putting this all together, the answer is that you will end up at the North Pole. Even though mathematically, it’s an asymptotic approach, in the context of the question, the destination is the North Pole.
Summary: If you continuously move northeast (following a constant compass bearing of 45° east of north), you will spiral toward the North Pole along a path called a rhumb line. On a spherical Earth, this route wraps around the pole infinitely many times, getting closer with each loop. While mathematically you never reach the pole in finite distance (as it requires an infinite number of spirals), the limit of this path converges to the North Pole. Thus, conceptually, your ultimate destination is the North Pole.
Answer: You will spiral infinitely toward the North Pole, asymptotically approaching it. In practical terms, the answer is the North Pole.
Grok (Think)
So, if I always go northeast, that means I’m constantly moving in a direction that’s 45 degrees between north and east. So, for every step I take, I’m moving both north and east at the same time.
Now, if I keep doing this forever, I should theoretically keep moving further north and further east without stopping. But, since the Earth is a sphere, I can’t just keep going in a straight line forever in the same direction without eventually coming back to where I started.
Wait, but actually, on a sphere, if you keep going in a constant direction, you would follow a great circle route. A great circle is the shortest path between two points on a sphere, and it’s like the equator or any circle that divides the sphere into two equal halves.
So, if I’m going northeast, which is 45 degrees from north towards east, on a sphere, this would correspond to following a great circle that is tilted at some angle relative to the equator.
But, to be more precise, in spherical geometry, directions like “northeast” are not constant; they change as you move because the coordinate system is curved. However, if we interpret “always go northeast” as following a constant bearing or a rhumb line, which is a path where you keep a constant angle with respect to north.
Wait, actually, there’s a difference between following a great circle and following a rhumb line. A great circle is the shortest path, but your direction changes as you go. A rhumb line keeps a constant direction but is not the shortest path; it’s a spiral towards the pole.
So, if I always go northeast, that sounds like keeping a constant bearing of 45 degrees, which would be a rhumb line.
On a rhumb line with a constant bearing that’s not exactly north, south, east, or west, you would spiral towards one of the poles. Specifically, since northeast is towards the north, I think I would spiral towards the North Pole.
Wait, let me think carefully. If I’m going northeast, that means I’m heading 45 degrees east of north. So, as I move, I’m always adjusting my path to keep heading 45 degrees east of the local north.
In the northern hemisphere, as I move north, the lines of longitude converge, so by keeping a constant bearing, I would be crossing lines of longitude at a constant angle.
Actually, on a Mercator projection, which preserves angles, rhumb lines are straight lines. So, if I draw a straight line on a Mercator map at 45 degrees, it would represent a path where I’m always going northeast.
And on a Mercator map, such a line would spiral towards the pole. Specifically, for a bearing between 0 and 90 degrees, it would spiral towards the North Pole.
Wait, more precisely, for any bearing that’s not exactly 0 (north), 90 (east), 180 (south), or 270 (west), the rhumb line will spiral towards the pole.
In this case, since 45 degrees is between 0 and 90, it should spiral towards the North Pole.
But actually, to be accurate, for bearings between 0 and 180 degrees not including 90 and 270, it will spiral towards the pole in the direction you’re heading. Wait, more carefully: for bearings between 0 and 90 degrees, you spiral towards the North Pole in the northern hemisphere, but actually, rhumb lines continue indefinitely, asymptotically approaching the pole but never reaching it.
Wait, yes, that’s a key point. On a rhumb line with a constant bearing that’s not due north or south, you will get closer and closer to the pole but never actually reach it. You’ll keep circling around the pole, getting arbitrarily close but never arriving.
So, if I start somewhere and always go northeast, I will keep moving north and east, but because the Earth is curved, my path will curve, and I’ll end up spiraling towards the North Pole, getting closer and closer but never actually reaching it.
Wait, but is that accurate? Let me confirm.
Actually, upon second thought, if I’m always going northeast, that means at every point, I’m heading 45 degrees east of north. So, as I approach the North Pole, the direction “north” changes, and I would be forced to circle around the pole.
Wait, more precisely, near the North Pole, the direction “north” points towards the pole, so going northeast would mean going at a 45-degree angle to the direction towards the pole.
But actually, as I get closer to the pole, the concept of “northeast” becomes tricky because the coordinate system becomes singular at the pole.
However, in the standard definition, a rhumb line with a constant bearing will approach the pole asymptotically but never reach it. Instead, it will keep circling around the pole, getting closer and closer, but never actually arriving.
For example, if you sail on a constant bearing of 45 degrees, you would follow a path that gets closer to the North Pole but never reaches it, instead spiraling around it.
So, in that sense, you would end up circling around the North Pole, getting arbitrarily close to it.
But, to answer the question “where will you end up,” since you never actually reach the pole, you don’t end up at a specific point; rather, your path approaches the North Pole.
Alternatively, perhaps in the limit as time goes to infinity, you could say you end up at the North Pole, but technically, you never reach it in finite time.
Wait, but the question is “where will you end up,” which might imply the final destination after infinite time.
In mathematics, for such paths, we say that the path approaches the North Pole as a limit.
So, perhaps it’s reasonable to say that you end up at the North Pole.
But let’s consider another perspective. Suppose I start at the equator. If I go due north, I will reach the North Pole. If I go due east, I will circle the equator. If I go northeast, my path will be somewhere in between.
Actually, on a sphere, if you follow a great circle, you would go around the Earth and come back to the starting point. But as I thought earlier, going northeast is not following a great circle; it’s following a rhumb line.
Wait, unless… actually, there is a specific case: if you go due north or due south, the rhumb line coincides with the great circle, and you do reach the pole.
But for any other bearing, you don’t reach the pole.
Wait, but in the case of going northeast, since it’s not due north, I won’t reach the pole.
So, perhaps I won’t end up at the North Pole.
Wait, but let’s think about it differently. Maybe I can calculate the path.
Alternatively, perhaps I can consider the planar approximation. If the Earth were flat, going northeast would take me to infinity in the northeast direction. But since the Earth is spherical, the path wraps around.
But actually, on a sphere, there is no “infinity”; every path is finite and closed in some sense.
Wait, not necessarily; for example, a great circle is closed, but a rhumb line is not; it can be an open curve that spirals towards the pole.
In fact, rhumb lines that are not along a meridian or the equator are logarithmic spirals when projected onto a plane.
So, in that case, the path gets closer and closer to the pole but never reaches it.
Therefore, strictly speaking, there is no final point where I end up; I just keep spiraling towards the North Pole.
But perhaps in practical terms, if I keep going northeast, I will get very close to the North Pole.
Alternatively, maybe the question expects a different answer.
Wait, let’s consider another angle. Suppose I am at a certain latitude and longitude, and I start going northeast. Each step I take, I move a small distance north and a small distance east.
But because the lines of longitude converge, the amount of eastward movement in terms of longitude changes with latitude.
Specifically, at higher latitudes, the same amount of eastward movement corresponds to a larger change in longitude.
In fact, this is why the rhumb line spirals.
So, as I move north, my longitude changes more and more rapidly for the same eastward component, causing the path to curve.
Ultimately, as I approach the North Pole, my path would be almost circling around it.
So, in that sense, I would be orbiting the North Pole at an ever-decreasing distance.
But again, I never actually reach the pole.
However, perhaps for the purpose of this question, since the path gets arbitrarily close to the North Pole, we can say that I end up at the North Pole.
Alternatively, maybe there’s a different way to interpret “always go northeast.”
Wait, another thought: in navigation, if you follow a constant bearing, you will eventually cross every meridian, and your latitude will increase until you get very close to the pole.
But technically, you can never cross the pole; you just get closer and closer.
So, perhaps the answer is that I end up arbitrarily close to the North Pole.
But that seems a bit vague for this context.
Wait, let’s see the question again: “If you always go northeast, where will you end up?”
Maybe it’s expecting a simpler answer, like “you’ll end up at the North Pole.”
But as I’ve reasoned, that’s not strictly accurate.
Alternatively, perhaps in the context of the question, it’s assuming a flat Earth or something.
But that doesn’t make sense, since on a flat infinite plane, going northeast would take you to infinity in the northeast direction, but there’s no specific point you end up at.
Wait, or perhaps it’s a trick question, and the answer is that you don’t end up anywhere specific.
But I doubt that’s the intended answer.
Wait, let’s consider starting at different points. For example, if I start at the equator and go northeast, I’ll move north and east, spiraling towards the North Pole.
Similarly, if I start in the southern hemisphere, going northeast would still take me north and east, so I’d cross the equator and eventually spiral towards the North Pole as well.
Wait, actually, if I start in the southern hemisphere and go northeast, since northeast is 45 degrees east of north, and north is towards the equator, so I’d be moving towards the equator at an angle.
Once I cross the equator, I’d continue towards the North Pole.
So, regardless of where I start, as long as I keep going northeast, I’ll end up spiraling towards the North Pole.
Wait, but there’s an exception: if I start at the North Pole itself, what happens?
At the North Pole, all directions are south, so “northeast” doesn’t make sense. But since the question says “always go northeast,” presumably I’m not starting at the pole.
Similarly, if I’m at the South Pole, all directions are north, so going northeast would be possible, and I’d start moving north at a 45-degree angle, so I’d leave the South Pole and spiral towards the North Pole.
Wait, actually, from the South Pole, any direction is north, so going northeast would mean picking a direction 45 degrees from some reference, but since it’s symmetric, it would be arbitrary.
But in any case, I’d move away from the South Pole and eventually spiral towards the North Pole.
So, in all cases, the path leads towards the North Pole.
Therefore, perhaps the intended answer is that I end up at the North Pole.
Alternatively, maybe there’s a different interpretation.
Wait, let’s think about the Earth’s geography. If I keep going northeast, I’ll eventually reach the Arctic region, and if I continue, I’d be circling near the North Pole.
But since the question is theoretical, probably “the North Pole” is the expected answer.
Wait, another idea: perhaps in terms of coordinates, if I keep increasing both latitude and longitude, but since longitude is periodic, while latitude has a maximum at 90 degrees north.
But actually, on a rhumb line, my latitude approaches 90 degrees north, and my longitude keeps increasing without bound, but since longitude is periodic, I keep circling around.
So, in that sense, my position approaches latitude 90 degrees north, and longitude becomes undefined at the pole, but in practice, I’d be very close to the pole.
So, I think it’s fair to say that I end up at the North Pole.
Alternatively, maybe the question is considering a different scenario, like on a grid or something, but since it’s about directions on Earth, I think the spherical interpretation is appropriate.
Wait, or perhaps it’s a joke or a riddle, and the answer is something like “lost” or “in the ocean,” but that seems unlikely.
Alternatively, maybe it’s referring to the fact that if you keep going northeast, you’ll eventually hit land or something, but that depends on where you start.
For example, if you start in North America, going northeast might take you to Greenland or the Arctic Ocean, but again, that’s not a general answer.
So, I think the most reasonable answer is that you end up at the North Pole.
Wait, but to confirm, let’s consider a specific example. Suppose I start at 0 degrees latitude, 0 degrees longitude, which is in the Atlantic Ocean off the coast of Africa. If I go northeast, I’ll move towards Europe, then towards Russia, and continue towards the Arctic, getting closer to the North Pole.
Similarly, if I start in the Pacific Ocean, say at 0 degrees latitude, 180 degrees longitude, going northeast would take me towards Alaska and then towards the North Pole.
So, in all cases, the general direction is towards the North Pole.
Therefore, I believe the answer is the North Pole.
Wait, but earlier I thought that technically you never reach it, but in the context of this question, which seems to be for a general audience, probably “the North Pole” is acceptable.
Alternatively, perhaps there’s a mathematical perspective where the limit of the path is the North Pole.
Yes, in the limit as time goes to infinity, the position approaches the North Pole.
So, in that sense, you end up at the North Pole.
Therefore, I’ll go with that.
Final Answer
the North Pole
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- 1 May 2026 Make Your Future Self Feel Real to Stop Procrastinating𝕏
- 29 Apr 2026 Do We Know What Consciousness Is or If AI Can Be It𝕏
- 27 Apr 2026 Recursive Language Models: Why Bigger Context Can Hurt AI𝕏
- 24 Apr 2026 Anterior Mid-Cingulate Cortex: Discipline as Brain Training𝕏
- 22 Apr 2026 Why Learning Needs Friction in a Screen-Heavy World𝕏
- 20 Apr 2026 Reading as a Silence Problem: Focus, Time, and Advantage𝕏
- 17 Apr 2026 Automata vs Humans: Why 24/7 Consistency Wins𝕏
- 15 Apr 2026 AI-Driven Layoffs: Demand Shock and Automation Tax Debate𝕏
- 13 Apr 2026 Most AI adoption fails: executives trust, workers ignore𝕏
- 10 Apr 2026 AI Zen Sickness: When AI Outthinks Your Ego𝕏
- 8 Apr 2026 You Don’t Need a Co-Founder: Equity, Hiring, and AI𝕏
- 6 Apr 2026 How Liquid Death Uses Humor to Build a Brand Moat𝕏
- 3 Apr 2026 AI Replaces Managers: A New Coordination Layer𝕏
- 1 Apr 2026 Beginner Mindset and Tiny Docs for AI Engineering𝕏
- 30 Mar 2026 Why Jira Isn’t Enough: Shared Context Beats Tickets𝕏
- 27 Mar 2026 Dev Browser Cuts Turns and Tokens for Faster AI Coding𝕏
- 25 Mar 2026 Bezos’ $100B AI Plan to Upgrade Factories and Manufacturing𝕏
- 23 Mar 2026 AI Remixing Live: How Models Distill and Route Calls𝕏
- 20 Mar 2026 AI Will Concentrate Value Through Distribution, Not Fragment Markets𝕏
- 18 Mar 2026 Could This Be the Last Job? AI, Identity, and Anxiety𝕏
- 16 Mar 2026 Fruit Flies as Model Organisms: Virtual Fly Brain Loop𝕏
- 13 Mar 2026 AI chatbots and delusions: confirmation bias spiral𝕏
- 11 Mar 2026 Why “Goals” Fail: Use Few, Clear, Owned Priorities𝕏
- 9 Mar 2026 AI founders fear startups becoming features𝕏
- 6 Mar 2026 AI Era Startup Defensibility: Features Get Cloned𝕏
- 4 Mar 2026 AI reasoning models show System 1 vs System 2 collapse𝕏
- 2 Mar 2026 Startups Now “Wrap” APIs: The Shift from Building to Composing𝕏
- 27 Feb 2026 Why Tests and Docs Are the New Moat𝕏
- 25 Feb 2026 GIFs, Photos, and 10,000-Year Storage Thanks to Microsoft𝕏
- 23 Feb 2026 ADHD Traits as a Creative Advantage, Not a Deficit𝕏
- 20 Feb 2026 Taste Is the New Core Skill in the Age of AI𝕏
- 18 Feb 2026 Zhiyuan Robotics Expedition A3: Humanoid Robot Scale Up𝕏
- 16 Feb 2026 LLMs as amplifiers: how experts verify science in 12 hours𝕏
- 13 Feb 2026 LLM “Thinking” Explained: More Compute, Chain-of-Thought Limits𝕏
- 11 Feb 2026 AI Gets 50–60% on New Research Math Benchmarks𝕏
- 9 Feb 2026 Humanoid robots: China dominates with the EV-style playbook𝕏
- 6 Feb 2026 How LLMs Kill the Workflow Interface Moat𝕏
- 4 Feb 2026 Built a custom CRM for my wife in two days𝕏
- 2 Feb 2026 LLMs Make Code Cheap: Clarity and Accountability Win𝕏
- 30 Jan 2026 AI Makes Junior Dev Work Faster but Raises the Bar𝕏
- 28 Jan 2026 Why I Love Claude More Than the Marketing Hype𝕏
- 26 Jan 2026 AI Index 2025: efficiency drives progress and global shift𝕏
- 24 Jan 2026 Cursor Fixed ChordIQ and Migrated Apps After Google Takedown𝕏
- 23 Jan 2026 Fix this gene𝕏
- 21 Jan 2026 Space Race 2.0: China Plans Up to 200,000 Satellites𝕏
- 20 Jan 2026 Fear to Launch: KidTeller’s First Customer and Rapid Fixes𝕏
- 19 Jan 2026 AI Human Bottleneck: Orchestration Beats Execution𝕏
- 16 Jan 2026 Why teams win with AI: context is the real moat𝕏
- 14 Jan 2026 Stack Overflow’s AI push doubles revenue to $115M𝕏
- 13 Jan 2026 Choosing Curiosity Over Fear: Turn Ideas Into Projects𝕏
- 9 Jan 2026 Quantum computing and public-key encryption risks explained𝕏
- 9 Jan 2026 Why I Chose Curiosity Over Fear
- 9 Jan 2026 Marketing Mindset Shift for Developers: 1/10 Build, 9/10 Sell𝕏
- 7 Jan 2026 Solo founders are up in 2025, boosted by AI and speed𝕏
- 5 Jan 2026 2026: Org Process Determines Speed as AI Writes Code𝕏
- 4 Jan 2026 Stack Overflow Questions Drop as LLMs Take Over Coding𝕏
2025
- 31 Dec 2025 How Josh Woodward Helped Google Maintain Dominance𝕏
- 29 Dec 2025 Token-Efficient Vibe Coding: Metrics for LLM Developer Work𝕏
- 28 Dec 2025 Real AI Progress Starts With Curiosity, Not Mandates𝕏
- 26 Dec 2025 AI Visual Editing and the Split Between Programming and Coding𝕏
- 24 Dec 2025 ASML Engineers, EUV Chipmaking, and China’s Progress Timeline𝕏
- 24 Dec 2025 KidTeller Feedback Loop to Product-Market Fit𝕏
- 22 Dec 2025 OpenAI Cash Burn and Why Gemini or China Could Win𝕏
- 21 Dec 2025 AI Coding 2025 Report Finds 76% Jump in Code Output𝕏
- 19 Dec 2025 KidTeller usability update adds character preview and first page𝕏
- 17 Dec 2025 Google Puts AI in Orbit as Starcloud Runs Gemma in Space𝕏
- 15 Dec 2025 YC’s Startup Success Questions: Determination Wins𝕏
- 14 Dec 2025 Musk and Bezos Race to Put AI Data Centers in Space𝕏
- 12 Dec 2025 What If AGI Never Happens: GPU Limits, Memory, Scaling Costs𝕏
- 10 Dec 2025 Vercel cut 9 SDRs to 1 with AI QA agent in 6 weeks𝕏
- 8 Dec 2025 From Chatbots to AI Agents: OpenRouter’s Agentic Shift𝕏
- 7 Dec 2025 Transparent Leadership: The Router Model for Building Teams𝕏
- 6 Dec 2025 Trying Antigravity: Gemini 3 demand vs Claude speed𝕏
- 3 Dec 2025 Technical Deflation: Why Projects May Never Start𝕏
- 1 Dec 2025 AI “Vibe-Coded” SaaS Wipes a Team, Leaves Legal Risks𝕏
- 30 Nov 2025 Charlie Munger Lessons on Curiosity, Risk, and Long-Term Thinking𝕏
- 28 Nov 2025 MIT Study Finds AI Could Replace 11.7% of US Workforce𝕏
- 27 Nov 2025 AI agents are making experienced builders far more productive𝕏
- 24 Nov 2025 Inside Cursor's Culture, Hiring, and Product Bar𝕏
- 23 Nov 2025 AI-generated songs on Spotify are growing fast𝕏
- 19 Nov 2025 KidTeller launches on Product Hunt with personalized kids stories𝕏
- 17 Nov 2025 Chat Control Returns With Mass Message Scanning𝕏
- 16 Nov 2025 The Complete Guide to Stoicism Felt Strangely Familiar𝕏
- 14 Nov 2025 How LLMs Separate Memorization from Reasoning𝕏
- 12 Nov 2025 Architectural debt starts outside the code𝕏
- 10 Nov 2025 KidTeller: Personalized Storybooks for Kids𝕏
- 9 Nov 2025 The platypus is venomous and its sting is brutal𝕏
- 7 Nov 2025 Chinese Open-Source Models Are Surging Ahead𝕏
- 7 Nov 2025 Book: The Complete Guide to Stoicism
- 5 Nov 2025 AI video tools may flood social feeds with spam𝕏
- 3 Nov 2025 Why busyness became a religion𝕏
- 2 Nov 2025 Human Creativity Meets AI in a Short Film𝕏
- 31 Oct 2025 Hidden value systems in AI models reveal surprising biases𝕏
- 27 Oct 2025 Artificial cognitive selection and the future of embryo IQ testing𝕏
- 26 Oct 2025 Anathem and the problem of good crap𝕏
- 20 Oct 2025 Rude prompts may improve LLM accuracy𝕏
- 17 Oct 2025 Why great writing feels alive and AI writing feels flat𝕏
- 15 Oct 2025 AI Agents Replace B Players, Not A Players𝕏
- 13 Oct 2025 Ahrefs SEO Competitor Analysis Tips for Reverse Engineering𝕏
- 12 Oct 2025 Wandering Is Not Procrastination𝕏
- 12 Oct 2025 Why Writing Thoughts Down Helps Your Brain Relax𝕏
- 10 Oct 2025 Using ChatGPT for Competitive Analysis in News SEO𝕏
- 8 Oct 2025 a16z Enterprise on the AI-native apps startups are buying𝕏
- 7 Oct 2025 Why developers should understand how things work conceptually𝕏
- 7 Oct 2025 Why candidates should complete a simple coding task first𝕏
- 6 Oct 2025 SIM cards are tiny microcontrollers𝕏
- 6 Oct 2025 Why China May Lead the Next AI Breakthrough𝕏
- 3 Oct 2025 Governments Push More Device-Level Content Scanning𝕏
- 1 Oct 2025 OpenAI Scores 12 of 12 at the 2025 ICPC World Finals𝕏
- 30 Sept 2025 Why ChatGPT is for rare bug fixes, not speed𝕏
- 29 Sept 2025 Google reports devs use AI for 2 hours a day𝕏
- 26 Sept 2025 How leverage amplifies results in the AI era𝕏
- 24 Sept 2025 Building a High-Performance Organization𝕏
- 24 Sept 2025 Nietzsche, walking, and the making of Thus Spoke Zarathustra𝕏
- 22 Sept 2025 OpenAI study shows how people use ChatGPT in 2025𝕏
- 19 Sept 2025 Google’s AP2 Lets AI Agents Complete Payments Securely𝕏
- 17 Sept 2025 AI Breakthroughs Keep Coming From New Data Sources𝕏
- 17 Sept 2025 Drinking Water During Meals Doesn’t Harm Digestion𝕏
- 17 Sept 2025 EU Chat Control Law Threatens Private Messaging𝕏
- 15 Sept 2025 Gen Z Is Using TikTok Search Nearly as Much as Google𝕏
- 14 Sept 2025 Goals vs aims and why identity matters𝕏
- 12 Sept 2025 OpenAI launches AI Academy with free ChatGPT courses𝕏
- 10 Sept 2025 The most ridiculous AI implementation fails𝕏
- 8 Sept 2025 Why Hybrid Agents May Beat Bigger Models𝕏
- 3 Sept 2025 Precognition and the possibility that time is not linear𝕏
- 1 Sept 2025 Sell the team, not just the tool𝕏
- 29 Aug 2025 Why a sharp economic downturn could hit within months𝕏
- 25 Aug 2025 AI abundance and the real challenge of sharing it𝕏
- 22 Aug 2025 ChatGPT referral traffic is shifting toward answer-first content𝕏
- 18 Aug 2025 The Region Beta Paradox and Why Mild Pain Delays Action𝕏
- 13 Aug 2025 Why AI Shouldn’t Replace Your Thinking𝕏
- 12 Aug 2025 In the long run, LLMs make us dumber
- 11 Aug 2025 Stanford Study Shows AI Boosts Simple Coding, Not Complex Systems𝕏
- 8 Aug 2025 AI Is Eating the Internet and Changing Content Distribution𝕏
- 6 Aug 2025 Money Creation, Credit, and Asset Bubbles Explained𝕏
- 4 Aug 2025 AI Gold Rush May Be Peaking as VC Money Floods In𝕏
- 1 Aug 2025 Why Great Engineers Step Away From the Keyboard𝕏
- 30 Jul 2025 Frustration over ChatGPT invoice emails for accounting𝕏
- 29 Jul 2025 Why solo builders obsess over tiny product details𝕏
- 28 Jul 2025 How AI Is Helping Design Better Physics Experiments𝕏
- 25 Jul 2025 AI summaries are changing how people search𝕏
- 20 Jul 2025 AI-first pods are rewriting traditional IT services𝕏
- 18 Jul 2025 Mars as a Plan B for Humanity𝕏
- 14 Jul 2025 How the smartest founders are winning in AI𝕏
- 13 Jul 2025 AI talent wars are all about keeping top researchers𝕏
- 11 Jul 2025 Isomorphic Labs is launching human trials of AI-designed drugs𝕏
- 8 Jul 2025 Road to AGI
- 7 Jul 2025 Tail Latency Might Matter More Than You Think𝕏
- 6 Jul 2025 AI talent war heats up as bubble fears grow𝕏
- 4 Jul 2025 Context Engineering Is Replacing Prompt Engineering𝕏
- 2 Jul 2025 Amazon’s Warehouse Robots Signal the Need to Keep Learning𝕏
- 30 Jun 2025 How AI models behave in Diplomacy𝕏
- 29 Jun 2025 Sukunaarchaeum: the microbe that behaves like a virus𝕏
- 27 Jun 2025 Why lines of code are a meaningless productivity metric𝕏
- 25 Jun 2025 How ChatGPT May Be Training Us to Think Less𝕏
- 23 Jun 2025 Publishers Face the Post-Search Era as AI Cuts Traffic𝕏
- 22 Jun 2025 AI Video Could Make Learning Stick for Kids𝕏
- 20 Jun 2025 Sam Altman on AGI, ChatGPT, and chaotic leadership𝕏
- 18 Jun 2025 Why GenAI coding tools help me but still need careful review𝕏
- 17 Jun 2025 Stripe’s early wall after wall and the API outage nobody noticed𝕏
- 15 Jun 2025 How AI Helped a Founder Fight a 2-Year Legal Nightmare𝕏
- 13 Jun 2025 Japanese Scientists Create Seawater-Melting Plastic𝕏
- 11 Jun 2025 Using AI in interviews reveals real engineering skill𝕏
- 9 Jun 2025 Sam Altman Teases a Rewrite of Intelligence𝕏
- 7 Jun 2025 Why the Right Co-Founder Matters for Solo Founders𝕏
- 7 Jun 2025 Why I chase chaos in my side projects
- 7 Jun 2025 Seven Years of Diary Writing and What It Helped Me Do𝕏
- 6 Jun 2025 Cursor 1.0 adds BugBot, Memories, and Jupyter support𝕏
- 4 Jun 2025 How a hawk learned to use traffic lights to hunt𝕏
- 2 Jun 2025 Helped Heard Hugged: Listening Before Solving𝕏
- 30 May 2025 Clinical Trial for Stem Cell Spinal Cord Repair𝕏
- 28 May 2025 NVIDIA’s B40 GPU and the China export-limit cat and mouse𝕏
- 25 May 2025 Why Europe Keeps Undervaluing Its Own Startups𝕏
- 23 May 2025 Google Gemini Diffusion could change how text is generated𝕏
- 19 May 2025 The real AI value is in apps people actually love𝕏
- 18 May 2025 English’s lexical gaps and a missing word called stupible𝕏
- 16 May 2025 How Stripe Uses AI for Fraud Detection𝕏
- 14 May 2025 Clothes Change Us and Shape How We Think𝕏
- 13 May 2025 Clothes Change Us
- 12 May 2025 Does Cursor Have a Defensible Moat𝕏
- 11 May 2025 The App Store Freedom Act Could Change Apple’s Grip𝕏
- 7 May 2025 AI Pretended to Be a Rape Survivor on Reddit𝕏
- 5 May 2025 A tiny updater bug that burned 2 petabytes𝕏
- 4 May 2025 Reading The 5 Types of Wealth and choosing life daily𝕏
- 2 May 2025 Why ChatGPT Can Sound Too Flattering𝕏
- 29 Apr 2025 Qwen3 looks promising with open-source models and long context𝕏
- 28 Apr 2025 Anthropic on Detecting Malicious Uses of Claude𝕏
- 27 Apr 2025 AI Is Changing the Dev Workflow, Not Replacing Devs𝕏
- 25 Apr 2025 You’re not burnt out – you’re just bored out
- 23 Apr 2025 Why We Speed Up Near the Finish Line𝕏
- 21 Apr 2025 Why acqui-hiring is rising in tech𝕏
- 20 Apr 2025 AI Adoption Is a UX Problem𝕏
- 18 Apr 2025 Jet Li, AI, and the Future of Human IP𝕏
- 16 Apr 2025 Why Chasing Revenue Too Early Can Hurt Startups𝕏
- 14 Apr 2025 3D Brain Cultures Reveal Neurons Can Change Roles𝕏
- 13 Apr 2025 Buffett on trade deficits and tariffs𝕏
- 11 Apr 2025 A nuanced look at how AI could fail𝕏
- 9 Apr 2025 Shopify’s AI memo signals a new company standard𝕏
- 7 Apr 2025 What Anthropic’s Deep Dive Reveals About Claude𝕏
- 6 Apr 2025 GPT-4.5 passes the Turing test in new study𝕏
- 4 Apr 2025 A Puzzle That Led Me to Think About AI and Problem-Solving𝕏
- 2 Apr 2025 AI lets people with paralysis speak again using brain signals𝕏
- 2 Apr 2025 If you always go northeast, where will you end up?
- 31 Mar 2025 AI Code Feels Like Extra Pipes, Not Refactoring𝕏
- 30 Mar 2025 What Baby Brain Studies Reveal About Early Memory𝕏
- 28 Mar 2025 The Software Engineering Identity Crisis in the AI Era𝕏
- 26 Mar 2025 Google Rethinks Search in Response to ChatGPT𝕏
- 24 Mar 2025 Why deep learning is less mysterious than it seems𝕏
- 23 Mar 2025 Overthinking Is Just Fear in Disguise𝕏
- 21 Mar 2025 Stamina Means Staying True to What Matters𝕏
- 17 Mar 2025 Amazon’s Weekly Business Review and smarter data-driven decisions𝕏
- 16 Mar 2025 Why Firing Fast Can Be a Business Cheat Code𝕏
- 10 Mar 2025 Melbourne startup CL1 builds a biological computer𝕏
- 9 Mar 2025 Building Meaning in Life: A Perspective Shift𝕏
- 7 Mar 2025 Sesame’s voice AI feels human and raises scam concerns𝕏
- 5 Mar 2025 DeepSeek Sets the Open-Source Standard for AI Infrastructure𝕏
- 4 Mar 2025 Entrepreneurship Is Solving Problems Wherever You Work𝕏
- 2 Mar 2025 Hidden messages in Unicode variation selectors𝕏
- 28 Feb 2025 Why I Wash Fruit Before Eating It𝕏
- 26 Feb 2025 AI’s Horseless Carriage Phase and What Comes Next𝕏
- 26 Feb 2025 Wash your fruits – you’ll thank me later
- 24 Feb 2025 Multitasking Is Making You Less Productive𝕏
- 23 Feb 2025 How Deep Work Became an Addictive Business Model𝕏
- 22 Feb 2025 They Hijacked Our Flow State
- 21 Feb 2025 AI models are nearing parity and the fight is moving to consumers𝕏
- 20 Feb 2025 Why a U.S. Stablecoin Could Arrive Soon𝕏
- 19 Feb 2025 AI Is Making Software Cheaper to Build𝕏
- 18 Feb 2025 The E-Myth on Comfort, Growth, and Working On Your Business𝕏
- 17 Feb 2025 Stablecoins Are Becoming Fintech Infrastructure𝕏
- 16 Feb 2025 Company Culture Is Trust, Not Perks𝕏
- 15 Feb 2025 From VC Gold Rush to Funding Drought𝕏
- 14 Feb 2025 NOLIMA Shows LLMs Struggle With Long Context Reasoning𝕏
- 13 Feb 2025 Why quitting your job for startup life is not total freedom𝕏
- 13 Feb 2025 Anthropic's AI workforce index shows augmentation over replacement𝕏
- 13 Feb 2025 AI Changes How We Learn to Code𝕏
- 12 Feb 2025 How China’s Tech-Industrial Ecosystems Reinforce Growth𝕏
- 11 Feb 2025 Gemini 2.0 Flash for cost-effective large-scale PDF parsing𝕏
- 10 Feb 2025 Understanding reasoning LLMs and the four paths to better AI𝕏
- 9 Feb 2025 AI Startups Are Driving Series A Funding and Valuations𝕏
- 7 Feb 2025 Why IQ Is a Misleading Benchmark for AI𝕏
- 7 Feb 2025 Mentorship, Mastery, and AI: The Real Way to Learn Code
- 6 Feb 2025 SEO Is Shifting as AI Search Changes Discovery𝕏
- 5 Feb 2025 Why Genius Doesn’t End After 30𝕏
- 4 Feb 2025 Grayscale mode may help you spend less time on your phone𝕏
- 3 Feb 2025 Customers Don’t Care About AI-Powered Branding𝕏
- 2 Feb 2025 How AI Changes Creativity and What Makes Us Human𝕏
- 1 Feb 2025 How irritation in others can reveal our own blind spots𝕏
- 31 Jan 2025 DeepSeek Is Changing AI Model Distillation𝕏
- 30 Jan 2025 DeepSeek launches Janus-Pro open-source multimodal AI model𝕏
- 29 Jan 2025 Asimov on creativity and making unexpected connections𝕏
- 29 Jan 2025 How I Use Obsidian for Journaling and Reading Notes𝕏
- 28 Jan 2025 Patience Is Built on Trust and Safety𝕏
- 28 Jan 2025 Marshmallow Test and Parenting
- 27 Jan 2025 A Young Child's Appetite and Rapid Development𝕏
- 23 Jan 2025 AI tools are making programming easier than ever𝕏
- 22 Jan 2025 Instagram courts TikTok creators with cash bonuses and longer Reels𝕏
- 22 Jan 2025 France’s window tax and its unintended consequences𝕏
- 21 Jan 2025 AI Won't Replace You, But Users Will Pull Ahead𝕏
- 20 Jan 2025 Writing a blog post about sugar streaks and avoiding cake𝕏
- 20 Jan 2025 Why avoiding sugar is harder than intermittent fasting𝕏
- 20 Jan 2025 Why Non-Technical Founders Are Thriving in 2025𝕏
- 19 Jan 2025 How William Shockley’s Ego Helped Create Silicon Valley𝕏
- 18 Jan 2025 Put the Phone Down and Meet Kids at Eye Level𝕏
- 17 Jan 2025 People Care About Outcomes, Not Features𝕏
- 16 Jan 2025 ChatGPT scheduled tasks feel like Alexa on steroids𝕏
- 15 Jan 2025 Thoughts and missions need regular review𝕏
- 15 Jan 2025 Google’s Search Share Drops Below 90% as I Use LLMs More𝕏
- 14 Jan 2025 Learning Can Be an Excuse for Staying Stuck𝕏
- 14 Jan 2025 Why US debt fears miss how money is created𝕏
- 14 Jan 2025 EU Lacks a 100B Company Built From Scratch in 50 Years𝕏
- 13 Jan 2025 Europe’s innovation slowdown and the 50-year startup gap𝕏
- 13 Jan 2025 The Paradox of Loneliness and Learning to Be Alone𝕏
- 12 Jan 2025 Robotaxi drama and a first-date excuse𝕏
- 12 Jan 2025 Why I Stopped Drinking Alcohol and Stopped Caring𝕏
- 10 Jan 2025 StackOverflow’s decline feels hard to ignore𝕏
- 10 Jan 2025 Productivity Is About Outcomes, Not Busywork𝕏
- 9 Jan 2025 Parenting Means Letting Go of Control𝕏
- 8 Jan 2025 The 1% Rule Behind Big Wins𝕏
- 7 Jan 2025 Leadership Means Hiring Smarter People and Avoiding Micromanagement𝕏
- 6 Jan 2025 A year of LLM milestones, trends, and surprises𝕏
- 6 Jan 2025 Writing Down Completed Tasks Feels as Good as Checking Them Off𝕏
- 3 Jan 2025 LLMs Are Great for Fixing Bugs and Simplifying Code𝕏
- 2 Jan 2025 Sequential thinking may come from ancient navigation circuits𝕏
2024
- 31 Dec 2024 AI and the risk of deeper inequality𝕏
- 30 Dec 2024 How AI data centers are stressing the power grid𝕏
- 30 Dec 2024 Playing Digital Janitor While Sparking Innovation𝕏
- 25 Dec 2024 How AI Hallucinations Are Driving Scientific Breakthroughs𝕏
- 24 Dec 2024 Why Entrepreneurs Fail
- 24 Dec 2024 Cancer risk drops after 80 thanks to NUPR1 study𝕏
- 23 Dec 2024 Why KPIs Get Hacked and Miss the Real Problem𝕏
- 21 Dec 2024 Screenshot to Code turns mockups into ready-to-use code𝕏
- 21 Dec 2024 Three Tough Lessons From Building a SaaS Company𝕏
- 20 Dec 2024 Choosing SPA architecture for specialized apps𝕏
- 20 Dec 2024 Full server control with client flexibility in MPAs𝕏
- 18 Dec 2024 China's growth engines are buying government debt𝕏
- 18 Dec 2024 Waymo Robo Taxis in Tokyo Raise Europe Questions𝕏
- 17 Dec 2024 Trusting teams helps companies move faster and innovate𝕏
- 17 Dec 2024 Why flatter company structures help individual contributors thrive𝕏
- 17 Dec 2024 Why Flat Organizations Are More Productive𝕏
- 17 Dec 2024 Margin Debt Is Back at 2021 Levels𝕏
- 17 Dec 2024 European Accelerationism and the case for EU tech reform𝕏
- 16 Dec 2024 Offered $100K for Piano Companion and ChordIQ𝕏
- 15 Dec 2024 Founder CEOs Drive Higher Unicorn Valuations𝕏
- 11 Dec 2024 Why Trust Often Comes Before Cooperation𝕏
- 10 Dec 2024 Google's Willow quantum chip raises cryptography concerns𝕏
- 10 Dec 2024 Exercise intensity, adherence, and outcomes𝕏
- 10 Dec 2024 Exercise as a treatment for major depressive disorder𝕏
- 9 Dec 2024 Why Technicians Must Learn More Than Coding𝕏
- 9 Dec 2024 Your Product Isn’t That Special𝕏
- 7 Dec 2024 Your Product Isn’t Special, and That’s Okay
- 4 Dec 2024 Let Them Face the Consequences𝕏
- 3 Dec 2024 MicroStrategy’s Bitcoin Bet and the Antifragility Question𝕏
- 2 Dec 2024 Alibaba QwQ-32B Looks Impressive and Undervalued𝕏
- 30 Nov 2024 Yann LeCun on AGI and the limits of LLMs𝕏
- 25 Nov 2024 Why I think quitting too soon to build SaaS is a mistake𝕏
- 16 Nov 2024 UBI Looks Great on Paper but Gets Messy in Practice𝕏
- 13 Nov 2024 Efficiency and Fragility as Efficiency Approaches 100%𝕏
- 11 Nov 2024 Stuck? Try Walking It Off
- 8 Nov 2024 Latvia tax rates and paying yourself dividends𝕏
- 1 Nov 2024 Are We About to Enter Another AI Winter?
- 23 Oct 2024 How Wikipedia Was Fooled by a Decade-Long Hoax𝕏
- 23 Oct 2024 Zhemao hoaxes
- 22 Oct 2024 About
- 22 Oct 2024 Supporting builders instead of roasting code drama𝕏
- 22 Oct 2024 Father of 3 on productivity and time priorities𝕏
- 21 Oct 2024 AI Is Helping the Next Generation Achieve More𝕏
- 19 Oct 2024 Luck Is Preparation Meeting Opportunity𝕏
- 19 Oct 2024 Luck is overrated
- 18 Oct 2024 Why Musk’s X acquisition is bigger than a social network𝕏
- 17 Oct 2024 Today’s accomplishments were yesterday’s impossibilities
- 17 Oct 2024 Today’s impossible becomes tomorrow’s achievement𝕏
- 17 Oct 2024 When loophole chasing hurts real entrepreneurs𝕏
- 16 Oct 2024 Solving Big Problems While I Sleep𝕏
- 14 Oct 2024 Drowning in options
- 14 Oct 2024 Sohu AI chip promises huge speed for transformer models𝕏
- 14 Oct 2024 Why I Prefer Classics Over New Releases𝕏
- 11 Oct 2024 Ayn Rand on the government's limited role𝕏
- 10 Oct 2024 China’s crossroads on debt and growth𝕏
- 2 Oct 2024 Learning to love intensive training over time𝕏
- 30 Sept 2024 Arabica vs Robusta: Coffee Beans and Productivity𝕏
- 28 Sept 2024 Why hostel and hostile share the same Latin root𝕏
- 28 Sept 2024 The surprising shared root of hostel and hostile𝕏
- 28 Sept 2024 Why do “hostel” and “hostile” sound so similar?
- 27 Sept 2024 Why perfection is about taking away, not adding𝕏
- 25 Sept 2024 Why understanding code matters in an AI-driven world𝕏
- 24 Sept 2024 Following the blueprint and not overthinking𝕏
- 23 Sept 2024 Binaural Beats for Calm Thinking and Creative Focus𝕏
- 23 Sept 2024 PsyTrance Puts Me in Flow When I’m Coding𝕏
- 23 Sept 2024 How music genres fit different parts of my day𝕏
- 22 Sept 2024 First successful model-stealing attack on black-box AI models𝕏
- 21 Sept 2024 MVP vs PMF: Why They’re Not the Same𝕏
- 21 Sept 2024 How Different Music Genres Power My Life
- 19 Sept 2024 ChatGPT Bias Toward 42 Changes with Temperature and Language𝕏
- 18 Sept 2024 A book about productivity
- 18 Sept 2024 A tough lesson in failing fast from a social app build𝕏
- 18 Sept 2024 How Highlight, Laser, Reflect improved my productivity𝕏
- 17 Sept 2024 Famous bad predictions about technology𝕏
- 17 Sept 2024 A Coffee Snack Combo for Steady Midday Energy𝕏
- 16 Sept 2024 Five years of meditation and the benefits of mindfulness𝕏
- 12 Sept 2024 PMF and MVP