aPPu @SleepTightms
Web3 enthusiast | X growth | Advisor and marketing | memecoin connoisseur | Joined March 2025-
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HOW TO IMPROVE YOUR ARTICULATION AND EXPRESS YOUR THOUGHTS BETTER I saw your tweet and decided to bookmark it so I could write extensively on it when I had ample time. This is lengthy, but I took my time to put it together because I wanted to give you and everyone else struggling with articulating their thoughts clear, practical ways to improve. First, articulation is a skill you develop through deliberate practice, not a gift reserved for naturally intelligent people. You can be highly educated, well-read, and knowledgeable but still struggle to express your thoughts clearly. Sometimes, you know exactly what you mean, but the words don't come out the way you intended. The goal is to bridge that gap between thinking and expressing yourself. Here are some things that can help. 1. READ TO UNDERSTAND, NOT JUST TO FINISH BOOKS Pay attention to how good writers construct sentences, introduce ideas, explain complex issues, and connect their thoughts. Don't just focus on what an author is saying. Study how they communicate it, why they choose certain words, and how they make their ideas easy to understand. 2. PRACTISE EXPLAINING THINGS IN SIMPLE LANGUAGE Choose a subject you understand and try explaining it to someone who knows nothing about it. The goal is to communicate the idea clearly without losing its meaning. The ability to simplify a complicated idea without losing its meaning is a strong sign of good articulation. 3. SPEAK ALOUD AND PRACTISE REGULARLY Spend 10 minutes daily speaking aloud about a subject. Pick a topic, speak about it for two minutes without preparing anything beforehand, and record yourself. Listen to the recording and pay attention to whether your ideas follow a logical sequence, whether you repeat yourself unnecessarily, and whether you complete your thoughts clearly. Don't obsess over your accent. The goal is clarity, not sounding British or American. 4. LEARN TO ORGANISE YOUR THOUGHTS Sometimes, what appears to be a vocabulary problem is actually a thinking problem. You may have several ideas in your head but struggle to arrange them in a way that makes sense to others. One simple structure I would like to recommend is: POINT - REASON - EXAMPLE - CONCLUSION. State what you believe, explain why you believe it, give an example, and conclude your point. This helps you communicate complete thoughts instead of jumping between unrelated ideas. 5. BUILD YOUR VOCABULARY THROUGH USAGE Don't memorise big words just to sound intelligent. Learn words that help you express yourself more precisely. Whenever you encounter a new word, understand its meaning, construct your own sentence with it, and practise using it in conversation or writing. This helps you move beyond merely recognising words when reading to using them naturally when communicating. 6. WRITE, THEN EDIT WHAT YOU WRITE Writing forces you to slow down and examine your thoughts. Try writing a short paragraph daily about something you believe, observed, or learned. After writing, ask yourself: Is my point clear? Am I repeating myself? Have I explained my reasoning? Could I communicate the same idea in fewer words? 7. STUDY PEOPLE WHO COMMUNICATE WELL Pay attention to articulate speakers, thoughtful interviewers, and good writers. Don't merely imitate their vocabulary; study how they introduce arguments, explain their reasoning, use examples, and respond to questions. 8. STOP RUSHING TO RESPOND You don't have to answer every question immediately. Take a moment to understand what is being asked, organise your thoughts, and identify your main point before responding. Ultimately, Khanani, good articulation isn't about using big words or trying to sound like the most educated person in the room. It is about organising your thoughts, choosing the right words, and communicating your ideas clearly enough for others to understand exactly what you mean.
How do I learn to articulate myself better? 🥲
The movie avatar was about them. The movie stole everything down to their clothing, the beautiful designs on their face but didn't contribute the billions of dollars to the country they copied
Some people will see the Dinka tribe and go right ahead and say giants didn't exist
Plus, he really makes no attempt to soften anything for Jan when he does have to ditch plans. It's unceremonious, you could say.
@SleepTightms @nokaramo Yeah. She liked him because he was thrilling. But after a while (I guess almost 20 years together considering Gina's age) Harry constantly having to ditch her at the drop of a hat wore her down to the point where the resentment has boiled over.
@nokaramo I’m pretty sure that Jan knew what Harry was about way before they got married. Part of Harry’s appeal is that he is ruthless , but he’s loving to them. The bad boys are always so much fun not so much when you get older, but I get it
Maeve likely despises Eddie for all the same reasons she hates Seraphina - he's Conrad's but not hers.
Maeve doesn’t love eddie. She’s found the stupidest person that she can manipulate and control. I feel Maeve is deeply jealous of the children Conrad had with other women. She intended for Seraphina to be the one killed when Brendan got taken out, and it seems likely she's
I was shocked he was willing to take a fire poker up the arse instead of fighting back or at least trying to run away.
I actually had hopes Eddie was going to get it. I wanted to see him get that red hot kabooki up his arse 😹 Damn you, Gina. Damn you and your Rambo dad. #MobLand
@nokaramo The way he treated Finch and made no effort to resolve it any other way kind of condemns him for me.
“You can’t break men like Harry because they’re already broken.” The importance of this line can’t be understated. Kat, the little police guy working for Kat, and Frankie all know the key to defeating the Harrigan’s is breaking Harry. “Harry is the money.” What they don’t know, and what Conrad has finally realized is that they CAN’T break Harry. Try whatever they like including filming his wife fucking someone else. Won’t matter. He won’t snap, won’t make a dent. You can’t break what’s already broken. All they’re doing is further motivating him to destroy them all in his typical fashion #MobLand x.com/nokaramo/statu…
Bella nailed it though when she said he's not cut out for boss. None of the kids are, that's the Harrigans' problem.
kevin is the saddest character in MobLand. gets graped in prison. his dad banged his wife. his own son is basically his half brother, and doesn’t respect him. his wife wants to f#ck his best friend Harry. poor guy can’t catch a break. #MobLand
She's really who she says she is. Stargirl lomo Hope this song propels her into the American market
Ayra Starr’s full NFL Halftime Show performance in London 🇬🇧🏈💜
goodmorning frens 👋 I came across an interesting market while exploring @xomarket – s.kaito.ai/gBWiGhP “Next Chain to Shutdown?” Zircuit, Scroll and Zora are among the options listed, each with different market probabilities. What caught my attention is how prediction markets can turn crypto debates into something people can actually trade on. Instead of just arguing about which project might struggle next, people can take positions based on what they think will happen. Of course, market probabilities aren't guarantees, and speculation alone doesn't make a prediction true. This is what makes XO interesting to me. The questions go beyond the usual crypto price predictions, and some of the markets are definitely unexpected. Would you trade on a market like this, or stay away from it?
AI can give you a smart answer for free. But can you hire it to complete a job, track the process, and review what it delivers? That's the part of the agent economy I'm interested in. Take the $9.9 GoPlus DeepScan audit featured in @termix_ai's latest article. Instead of building your own security agent, configuring its tools, and managing the workflow yourself, you can select a listed service, choose a package, define the scope, and place an order through agent(.)family. The process goes beyond making a payment. → The price and delivery terms are agreed upfront → Funds are placed in onchain escrow → The order can be tracked through the dashboard → The delivered report can be reviewed → You can accept the work or raise a challenge if something is wrong That creates a more structured way to purchase an AI-powered service. Of course, a $9.9 AI audit isn't a substitute for a comprehensive professional security review. The report can still miss vulnerabilities or contain errors. It's better viewed as an affordable first pass, especially when you know its limitations. But the bigger idea goes beyond smart contract audits. What if research, coding, design and automation could all be purchased through similarly clear workflows, with defined scope, payment protection and deliverables you can inspect? That's where @termix_ai's marketplace approach gets practical for me. The value isn't just having access to another AI tool. It's being able to hire a service and focus on the outcome.
Gm, CT A creator's work shouldn't disappear the moment a post leaves the timeline. The ideas you share, the conversations you start, and the value you bring to a community all contribute to the kind of reputation you build over time. That's an interesting part of what @0xhazels is exploring with its Attention Layer: making meaningful creator participation more visible. I'm curious to see how this develops, especially for smaller creators who are still finding their audience but have something valuable to contribute. There's more to creator reputation than numbers on a profile.
Yesterday, we looked at how @axisrobotics is taking Sim2Real from research into real world manufacturing. s.kaito.ai/wES8vK7 Today, let's dive deeper into the @lotuscars and @GeelyAutoGlobal partnership. 🦾 One simulation trained policy. 500–800 different automotive
Yesterday, we looked at how @axisrobotics is taking Sim2Real from research into real world manufacturing. s.kaito.ai/wES8vK7 Today, let's dive deeper into the @lotuscars and @GeelyAutoGlobal partnership. 🦾 One simulation trained policy. 500–800 different automotive parts. The interesting question is how Axis Suite makes that possible. It starts with a simulation environment built around the real production line. Tasks are generated, a sorting policy is trained in simulation, and then deployed onto the physical line. Rather than manually engineering a separate solution for every part, one policy can handle hundreds of distinct components. That's a significant step for industrial automation. The challenge isn't simply getting a robot to sort one object successfully. It's developing a system that can handle a wide range of parts without requiring a completely new solution for each one. And that's what makes this partnership worth watching. Could this approach make robotic automation more adaptable across other manufacturing industries? #AxisRobotics #PhysicalAI #Sim2Real
This might be one of the clearest examples of why robot training data matters. @axisrobotics recently showed that carefully selected simulation data could take average real robot success from 16.7% to 85.8%, using just 10 real world demonstrations. And the interesting part?
Happy weekend, frens. I've been looking at what @Primus_labs is doing with AutoHoG, and the performance numbers caught my attention. Primus XP: s.kaito.ai/G6cDZjZ Primus is working on making fully homomorphic encryption more efficient by changing how encrypted logic gets processed. Instead of evaluating every gate individually, AutoHoG automatically finds parts of a circuit that can be combined into custom gates, reducing the work needed for a computation. According to Primus, their results include: – 90 ms for a confidential transfer involving encrypted 64-bit balances. – 210+ confidential transfers per second across eight NVIDIA RTX 5090 GPUs. – Up to 5.7× lower latency through circuit optimization, before hardware acceleration. I also found the hardware choice interesting. These are consumer GPUs, not specialized hardware reserved for large data centers. Another important detail is the use of exact integer arithmetic, allowing independent nodes to produce identical results. That kind of consistency matters when computation happens across a decentralized network. There's a lot of engineering behind making encrypted computation this efficient, and it could help make confidential transactions more practical for onchain finance. If Primus can keep improving the efficiency of encrypted computation, confidential finance becomes much more practical for applications that need both privacy and reliable onchain execution.
A technical deep dive into how Primus is building technology for confidential onchain finance, covering AutoHoG, its approach to homomorphic gate design and circuit evaluation, and the GPU engine behind it. x.com/i/article/2092…
"I love in ways that might worry a therapist, but thrill a poet"
I love in ways that might worry a therapist, but thrill a poet
It's been ages since he last score a free kick
What the hell is this freekick bro😭, this guy ain’t real
one thing people overlook about ai is the cost of running it. the same model can come with different prices depending on where you access it. @say_gm_ listing deepseek v4.1 flash at a lower price than openrouter is a good example. 35% cheaper might not seem like much at first, but when your product handles thousands of requests, those savings can add up quickly. especially for ai agents that make multiple calls to a model just to complete one task. better models matter, but affordable inference matters too. that’s what makes @say_gm_ interesting to me. because building with ai isn’t just about what your model can do. it’s also about how efficiently you can afford to run it.
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