Mbongeni Ndlovu (@Mbounge_) header
Mbongeni Ndlovu (@Mbounge_) profile picture

Computational Sports Scientists, MSc, Strength&Conditioning, Olympic Weightlifting Coach

Canada, Nova Scotia
Joined August 2023
Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)Photo by Mbongeni Ndlovu (@Mbounge_)
The aim of this article is to provide a clearer understanding of what is a "computational sports scientist" The future leaders in sports science will be those with a strong background in computer science, capable of bridging the gap between technology and sports There is a growing need for sports scientists who possess advanced skills in data structures, algorithms, data science, and machine learning. These experts will drive the next wave of innovation in sports Having a deep understanding of both sports science and computer science (and ideally, coaching experience) provides a unique perspective on the tools and technologies that will shape the future of coaching and athletic performance It gives these professionals the chance to build these tools that bring sport much closer to the future to benefit athletes and athletic development teams of coaches
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Mbongeni Ndlovu retweeted
读博之后才慢慢意识到,科研最容易让人陷入的一种错觉,就是觉得每一分钟都应该有产出。 没有读论文,没有写代码,没有推进实验,就会莫名产生一种负罪感。 但人的大脑不是 GPU,不能靠持续满载来获得最好的结果。 很多真正重要的想法,反而是在散步、看电影、喝咖啡,甚至无所事事的时候突然出现的。 休息不是对科研时间的浪费,它本身就是创造性思考的一部分。 我们应该允许自己拥有一些不需要被证明有价值的时间。 毕竟,人生也不应该只是为了下一篇 paper 而活着。
大学院生へ 多少の散財は許しましょう。 ① ポップコーン付きの映画館へ行く ② 無理な日はピザをとる ③ カフェでひたすら無の時間を過ごす ④ Amazonの🛒を空にする ⑤ 外食で健康的な小鉢を3つ追加する ⑥ マッサージにかかる ⑦ ちょっと良いアイスを買う 研究には何も考えない時間が必要です。
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Am I seeing this correctly Ram Altman 😂
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This is the state of my life
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I don't think anyone truly understands that building software is now democratized to a larger population Its still not clear what this means for many industries and how they evolve moving forward
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RT @umeshonai: Join "Monday morning manual one line code club" Let's make it a thing to feel something again
This quoted post is unavailable.
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i'm going to do the same
declared a variable this morning by hand just to feel something
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take the leap of faith
Dopamine does not spike highest for guaranteed rewards. It spikes highest at reward prediction error. If you want to have fun in life, you should stop avoiding risk and uncertainty.
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People may take issue with the language I use here but I stand by it.
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Clear thinking is the new bottleneck
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I may not be reviewing code as much as I used to But I constantly review the overall functionally of the whole product When context window compaction happens I trust AI coding agents less with the codebase And have to step in to make sure everything is good
Im sorry im not buying this ‘not reviewing code’ thing. Maybe later, but certainly not now, even with frontier models with max thinking Every single day I’m catching nonsense. If you’re merging this shit without looking, the systems your working on are either - not important and/or - have zero consequences for being wrong
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Would be very nice if @Apple made the Apple Pencil compatible with the new touch display
First look at Apple's new MacBook Pro with PROLED XDR Display
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Basically sums up my experience between folks working at the frontier with AI vs everyone else who I love talking to people working on the frontier But it gives you the illusion that everyone else is experimenting like we do Which is not true
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now. The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way. But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now. I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either. With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.
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I've been doing lots of customer discovery calls lately 1 thing is very clear building AI products for people at the frontier of using AI everyday is very hard people at the frontier are constantly experimenting with all sorts of ways on how to improve their workflows codex/claude code are constant variables in every conversation I’m convinced If you’re building an AI product, look for people who have problems to solve but don’t have time to turn keeping up with AI into a second unpaid job They want to get their work done and go home Not spend their evening finding out some guy on Twitter has replaced their entire workflow with 14 agents and a markdown file
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Mbongeni Ndlovu retweeted
very weird thing happening rn technical people are sad, they think their skills are now useless non-technical people are desperately wishing they were more technical so they could use agents better
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They brought the glowing apple icon back on the MacBook
New MacBook Pro "PROLED" revealed. OLED + Touchschreen, as expected. Up to 128GB unified memory and 16TB storage.
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Sometimes you need to reflect on what your building Ask yourself What is the one thing my product does well in Focus only on that Nothing else matters
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My Issue with AI Twitter, is that it will have you believe that everyone is using ai tools like codex/claude code and are experimenting lots on new workflows/ways of working Its likely easier to build and outreach to people who are not at the frontier (5%) Target the 95% and you will see results
most ai products right now are built for the 5% of people who are tech savvy. my dad is never going to write a system prompt. my grandfather doesn't even know what a prompt is. that means it's the best time ever to use ai and build products for the other 95%.
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Its good to see the build in public community is still doing well I've met so many people through posts like this and think its a place for small accounts to find like minded people The moat is the friends we made along the way
What are you building? Share your product with others 👇
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Pretty helpful actually
X ALGORITHM UPDATE 🚨 X just stopped cutting new posts first, and that should help small accounts (I check it daily with Claude and share updates worth sharing with you) tl;dr: - X can only check 2,800 posts each time you open your feed - new posts used to be last in line, so they got cut first - now everything gets cut equally, new posts included - posts labeled low quality or misinfo now show a warning, and people can't like, reply or share them - no score changes this time lesson learned: your new posts now get a fair chance to be seen. Your first 2 hours still matter most. full details: - How it worked until this week Every time someone opens For You, X collects around 3,700 posts it could show them: posts from people they follow, popular posts, posts liked by similar people, and brand new posts. But X only has time to check 2,800 of them. So it just took the first 2,800 in line. Brand new posts were at the back of the line. When there were too many, they were the ones left out... and a post that never gets checked can't be shown. - What changed Now everything gets cut by the same amount. 25% too many? Every type of post loses 25%, new posts included. Nobody goes first. - Why small accounts should care Those brand new posts are under 2 hours old, with under 8 likes and under 500 views. That's where most posts from smaller accounts are. My read: they now get a fair chance instead of being cut first. How often X actually hits the 2,800 limit isn't in the code, so I can't tell you how big the difference is. - Low quality and misinfo posts now show a warning If X labels your post as low quality or misinformation, people who don't follow you see a warning on it, and they can't like, reply, repost, bookmark or share it. The code doesn't say what gets a post that label. Here's a recap of what you should be doing: - a new post gets its extra push only in its first 2 hours and first 200 views, so post when your people are online - likes carry more weight than ever at 0.66 each - people sticking around pays, the time-spent score is 50% higher than two weeks ago - a read of 10+ seconds after someone opens your post adds 0.4 - the boost favors the post with the best like rate from its first viewers - accounts up to 50K can get one fresh original lifted to roughly 16th - nothing beats a copy link share, it scores 20 - replies, quotes and DM shares each score 5 - talk with your mutuals, replies between you score 20 instead of 5 - originals are the only posts that travel outside your follower base - the 1st and the 32nd like each open a new route to strangers - your 2nd post in the same feed is worth 62% of the first, so pick your best one - videos still need 10+ seconds to qualify for the video lists - earning a follow adds 4 - a pinned post with a bad link can flag the account for 7 days, worth a quick check What you should NOT be doing: - posts that get labeled low quality or misinfo now carry a warning, and nobody outside your followers can like or share them - video alone won't carry you, an open counts 0.02 and the watch 0 - hide-worthy posts cost more, "not interested" sits at -52.27 - a post at 3am burns its 2 hour window before anyone sees it - a tap that turns into a bounce is worth only 0.3 - replies and reposts don't get past your followers - insults get your post hidden from anyone who doesn't follow you - adult media in 3 of your last 5 posts puts a label on your account - disguised content in videos gets checked from 64 likes, harder at 512 - self-reply chains under big accounts risk being zeroed - one account label and non-followers stop seeing you entirely - low-rated links don't belong in your pinned post - recycled wording can get tagged as copypasta spam - strangers tagged plus a low quality link is a pattern X flags - engagement bait has no size exemption - several posts in a row end up competing with each other - hashtag stacks add nothing - bookmarks are still worth 0 - 48 hours in, For You is finished with a post
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Building was never the hard part Outreach and marketing is where its at
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