Charlie Bereket

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Charlie Bereket

Charlie Bereket

@CharlieBereket

Engineer | Entrepreneur 🕊 | Conservationist

Kampala, Uganda Katılım Nisan 2013
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Ihtesham Ali
Ihtesham Ali@ihtesham2005·
A Stanford psychologist spent 4 years proving that the simple act of walking generates 60% more creative ideas than sitting, and the experiment she designed to kill every alternative explanation is one of the most decisive findings in modern psychology. Her name is Marily Oppezzo. She got the idea for the study while walking with her advisor at Stanford to discuss her thesis topic, and the paper she eventually published in the Journal of Experimental Psychology in 2014 is sharp enough that it should have ended the seated meeting on the day it came out. She ran 4 experiments on 176 people. Same person tested twice. Once sitting, once walking. The creativity tasks were the standard ones psychologists have used for decades to measure how good a brain is at generating novel useful ideas. The result was almost too clean to publish. 81% of participants in the first experiment produced more creative ideas while walking than while sitting. In the second experiment, 88%. In the third, 100%. Every single person walked into a more creative version of themselves. On average, people generated 60% more novel useful ideas the moment their legs started moving. The skeptical question is the obvious one. Maybe it was the fresh air. Maybe it was the scenery passing by. Maybe it was the change of environment doing the work, not the walking itself. Oppezzo killed every one of those explanations with one experimental decision. She put people on a treadmill facing a blank wall. No scenery. No fresh air. No environmental change. Just legs moving in place while staring at white drywall. The 60% boost held. Then she ran the experiment that closed the case completely. She took participants outside in two conditions. Half of them walked through a Stanford courtyard. The other half were pushed through the exact same courtyard in a wheelchair. Same outdoor stimulation. Same scenery passing at the same speed. The only difference was whether the legs were moving. The walkers produced dramatically more novel high-quality ideas than the wheelchair group. The outdoors did almost nothing on its own. The walking did everything. This is the part of the study that hit hardest when I read it the first time. She also tested the opposite kind of thinking. Convergent thinking. The kind where there is one right answer and you have to narrow down to it. Word puzzles where 3 words share a hidden fourth word that connects them. The seated participants did slightly better on these. Walkers got slightly worse. Walking is not a general intelligence enhancer. It does one specific thing. It opens up the divergent search inside your brain. The part that generates options. The part that produces unexpected connections. The part that takes a problem and finds five ways into it instead of one. When you need to converge on the single right answer, sit down. When you need to find the answer in the first place, get up. The mechanism is now well understood. Walking selectively activates what neuroscientists call the default mode network, the system inside your brain that runs when you are not consciously focused on anything. The DMN is where mind-wandering happens. Where memories cross-reference each other. Where ideas that have been sitting in separate folders inside your head finally bump into each other. When you sit at a desk and force yourself to concentrate, you suppress the DMN. When you walk at a natural pace, the executive part of your brain gets just busy enough handling the walking that the DMN comes online and starts doing the work that focus was blocking. The most useful finding in the entire paper is the one almost nobody quotes. The boost did not turn off the moment people stopped walking. Participants who walked first and then sat back down stayed elevated. Their next round of seated creativity work was still significantly better than people who had been sitting the whole time. The rest lingered for at least several minutes after the legs stopped moving. You do not need to do creative work while walking. You need to walk before the creative work. The brain holds the state. The history of this is the part that should haunt anyone who still does meetings in chairs. Charles Darwin built a gravel loop behind his house in Kent called the Sandwalk and walked it 3 times a day for the rest of his life. The theory of evolution was developed one lap at a time on that path. Nietzsche walked up to 10 hours a day during the years he wrote his most important books and openly said the work was conceived on his feet. Beethoven composed for the morning and walked for 5 hours every afternoon with a pencil in his pocket for when something landed. Kahneman said the best thinking of his Nobel Prize-winning career happened on leisurely walks with Amos Tversky. Steve Jobs refused to take important conversations sitting down. He held them on foot. Every one of them was using the system Oppezzo would not measure until 2014. They just did not know what to call it. The question worth sitting with is the one almost nobody asks. Every meeting you have ever attended sitting around a table was a meeting held at a fraction of the brain power that was actually available to the people in the room. Every brainstorm that got stuck inside a conference room. Every problem you tried to solve at a desk and gave up on. Every idea you could not quite get to. The intervention is the easiest one in modern science. No supplement. No app. No subscription. No training program. Just a pair of legs and 15 minutes. The Stanford lab proved it. The philosophers knew it. The neuroscience explains it. And almost everyone reading this is still trying to think their way out of problems sitting completely still.
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Charlie Bereket
Charlie Bereket@CharlieBereket·
@AkelloAkelle Thank you for showcasing the amazing acoli culture and heritage. Afoyo matek 🫱🏾‍🫲🏿
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Charlie Bereket
Charlie Bereket@CharlieBereket·
That scenario is untenable. Systemic pushback from businesses and disenfranchised populations will be inevitable; economic and political realities cannot be ignored in the pursuit of AI advancement.
Codie Sanchez@Codie_Sanchez

There will only be two types of business owners in the next 5 years: 1) The tech-enabled operator: uses AI to scale with fewer people and lower costs than ever. 2) The premium artisan: goes all in on human touch and commands higher prices because of it. Everyone sitting in the middle dies.

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Charlie Bereket
Charlie Bereket@CharlieBereket·
@Codie_Sanchez That scenario is untenable. Systemic pushback from businesses and disenfranchised populations will be inevitable; economic and political realities cannot be ignored in the pursuit of AI advancement.
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Codie Sanchez
Codie Sanchez@Codie_Sanchez·
There will only be two types of business owners in the next 5 years: 1) The tech-enabled operator: uses AI to scale with fewer people and lower costs than ever. 2) The premium artisan: goes all in on human touch and commands higher prices because of it. Everyone sitting in the middle dies.
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Dustin
Dustin@r0ck3t23·
Elon Musk built a second internet above the first one. Nobody asked him to. Thousands of satellites orbit at 550 kilometers. Moving at 25 times the speed of sound. Talking to each other through lasers in the vacuum of space. Musk: “Thousands of satellites providing low latency, high-speed internet throughout the world.” Before Starlink, satellite internet lived at 36,000 kilometers. Geostationary orbit. Signals traveling a tenth of the way to the moon before bouncing back. The lag made it barely functional. Musk dropped the altitude by 98%. One decision rewrote the physics of an entire industry. But the altitude wasn’t the real play. Musk: “There are laser links between the satellites. It forms a laser mesh. The satellites can communicate between each other and provide connectivity even if the cables are cut.” Every internet connection you’ve ever used runs through cables. Fiber optic lines buried in soil. Dragged across ocean floors. Threaded through chokepoints that every military maps before anything else. A single anchor drop can black out a country. An earthquake can sever a continent. The entire digital world hangs from threads in the mud. Musk built a network that doesn’t touch the ground. No cables. No trenches. No ocean floor. No single point of failure. A constellation of machines whispering to each other through light at the edge of the atmosphere. The men who tried before him weren’t fools. Gates backed Teledesic at the height of Microsoft’s power. Motorola built Iridium with the best engineers alive. Both paid someone else to reach orbit. Both went to zero. Musk owned the rocket. SpaceX made launch reusable. Built the satellites in-house. Flew them on its own rockets. Owned every inch of the chain from factory floor to orbit. That isn’t a cost advantage. It’s a moat no one can cross without first building a rocket company from scratch. Starlink passed 10 million subscribers as a side project. Every telecom executive on Earth watched it happen. Not one of them can explain the architecture underneath. They think he built a better satellite company. He built the only network that survives when the ground gives out. And the ground always gives out.
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Charlie Bereket
Charlie Bereket@CharlieBereket·
@j49576 @Ric_RTP Your experience is similar to what I go through with Claude. I have profiled what Claude is good at for me, and what it is not good at, I pivot to Gemini or Grok - I don’t use ChatGPT at all 😅😉
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Lifelong_Learner
Lifelong_Learner@j49576·
I have worked with Claude . . . It is good for some things. Others . . . not so good. It changes code in a bunch of areas across a bunch of routines . . . and gets out of control really quickly . . . which of course eats up the token budget very fast. And because it can make errors . . . you are now debugging something that you did not write and may not understand why it made the changes it did. You really have to know when and how to use it . . . When you prompt it, you must be very, very specific with lots of constraining qualifiers . . . otherwise it assumes a bunch of things on its own and runs amuck changing things everywhere and it gets out of control. So, basically you are exchanging one skill for another . . . instead of learning to code . . . you now need to learn how to write effective prompts.
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Ricardo
Ricardo@Ric_RTP·
Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?
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naijafemalefarmer
naijafemalefarmer@naijafemalefama·
Yesterday, Chinese Ambassador to Nigeria posted on Twitter that Nigerians can now export cow bones duty-free to China. Under the comment sections, some Nigerians were asking the ambassador to tell them what they are using the cow bones for😁 Some were telling the ambassador to tell his people to come and setup the processing facility here in Nigeria, so they can create jobs. Funny people. I laughed at our inability to do simple Google search. As a livestock farmer and Agro commodities trader, I already know the uses of cow bones. And about building a factory here in Nigeria? Nigerians are the ones to do it, but sadly everyone is building hotels😁 Let me tell you a few uses of cow bones. Here are 4 major uses of cow bones you can mention in your content; ✍🏻Bone meal fertilizer: Cow bones are processed into bone meal, rich in phosphorus and calcium, used to improve soil fertility. They prefer this to fertilize their soil not the chemical sold to our rural farmers. ✍🏻Animal feed supplement: Processed bone meal can be used as a mineral supplement in livestock feed, especially for calcium and phosphorus. We use this for chicken feed, pig, and fish feed production. Verify the price per kg and you’ll be shocked. ✍🏻Gelatin production: Cow bones can be processed to extract gelatin, used in food, pharmaceuticals, capsules, and cosmetics. Just imagine the volume of cow bones wasting in your village? Pharmaceuticals companies are paying billions of dollars to buy it from those processing it. And I believe those Chinese companies will focus more on this. It is big money wasting away in Africa because we don’t know anything about value addition. ✍🏻Activated carbon / bone char: Burnt bones can produce bone char, used in filtration, sugar refining, and water purification. Pause here and think deeply with me. They use bone char for water purification in their country. But they produce capsules and sell to us for water purification😳 Let’s not blame them. We take responsibility. Now, let’s be honest. This is a golden opportunity for us. Let’s export the cow bones and cash out. Also, let’s learn how to process the cow bones locally and export the finish product too. If I tell you now that chicken feed producers in Nigeria import bone meal, you won’t believe. Research it yourself. A ton of bone meal is around $200 - $750 currently. Bro, just imagine earning over $200 from wastage thrown around our local markets in Africa. Business opportunity for you. Do your research and see how you can position to serve this market
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Government of Uganda
Government of Uganda@GovUganda·
In Northern Uganda, dance is more than entertainment , it is identity, culture, history and pride passed down through generations. #ExploreUganda #POATE
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Bryan Johnson
Bryan Johnson@bryan_johnson·
How to avoid tons of life problems: go to bed on time.
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How To AI
How To AI@HowToAI_·
Apple has published a paper with a devastating title: “The Illusion of Thinking” It argues that AI models, no matter how brilliant they may seem, do not understand what they are doing. They do not solve problems. They do not reason. They merely generate text word by word, trying to sound coherent. Apple tested the most advanced reasoning models in the world on controlled puzzle environments. They tore open the internal "thinking" traces. What they found shatters the narrative that we are getting closer to AGI. Current models don't scale with complexity. They have a hard mathematical cliff. And they do not degrade gracefully. They collapse. But here is the most unsettling part. When a problem gets too complex, the AI doesn't use its remaining compute to try harder. It just gives up. Its reasoning effort actually declines. It stops thinking and starts guessing. Then Apple ran the experiment that closes the casket on the reasoning debate. They gave the AI the exact, step-by-step algorithm to solve the puzzle. The cheat codes. All the AI had to do was follow the instructions. It couldn't do it. Performance didn't improve at all. When the complexity gets high enough, these models fail because they cannot actually execute a logical sequence. They are not reasoning. They are just pattern matching. When you give them a simple problem, they overthink. When you give them a hard problem, they collapse. Paper: The Illusion of Thinking, Apple, 2025
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World of Statistics
World of Statistics@stats_feed·
🇺🇬 Uganda has the highest per capita consumption of banana in the world.
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Charlie Bereket
Charlie Bereket@CharlieBereket·
In my opinion, critical public infrastructure of this magnitude should either be developed and owned by the host government or developed and gifted by a partner nation. It should never be developed, owned, and operated by a private entity for any extended period. In such scenarios, it is invariably the ordinary citizen who bears an unnecessary burden and remains at a systemic disadvantage.
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Akech Andrew
Akech Andrew@akech_andrew·
Uganda constructing a $334 million (223km) road in DR Congo. Tanzania rolling in electrified Standard Gauge Railway that will link Dar es Salaam directly to eastern DRC. Now Qatari billionaire, Al-Khayyat has showed interest in investing in construction of a 400km road in DR Congo.
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Norma Kayy
Norma Kayy@NandosRoll·
It took me a minute to get it
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