Clement Hugbo

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Clement Hugbo

Clement Hugbo

@codemathics

designer | currently building @whatsyai + creative experiment tools.

San Francisco, CA เข้าร่วม Eylül 2010
897 กำลังติดตาม4.1K ผู้ติดตาม
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Clement Hugbo
Clement Hugbo@codemathics·
i am excited to have worked and produced this masterpiece with @jcarvajalpa, @airwavy, vlad and the entire team at @gigaai congratulations to the team on their raise and most importantly, the solution they bring to customer experience on a global scale!
Varun Vummadi@varunvummadi

We have raised a $61M Series A to automate customer operations. The world’s leading companies like DoorDash trust Giga to supercharge customer experience with AI.

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Sam Altman
Sam Altman@sama·
I have so much gratitude to people who wrote extremely complex software character-by-character. It already feels difficult to remember how much effort it really took. Thank you for getting us to this point.
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Ryo Lu
Ryo Lu@ryolu_·
keep struggling when things come too easy, you don’t exercise the brain nor the emotions. ease can feel like progress, but it often skips the reps that actually change you. growth is usually a loop, not a straight line – you take passes. you try, you fail, you reframe. you come back with a slightly better model, a slightly calmer nervous system, a slightly wider range of what you can handle. hardship isn’t the goal. but friction is gold. it shows you where your understanding is thin, where your habits are brittle, where your ego is doing the steering. the struggle is the curriculum. agents are making things easier, and that’s good. but don’t confuse speed with depth. use AI to remove busywork, then spend the saved energy on the parts that still hurt a little: the unclear problem, the uncomfortable conversation, the hard tradeoffs, the things you can’t yet explain in words. instead of putting all your wishes into the black box, actually keep thinking, and seeing things fully. keep the difficulty where it matters. outsource the tedious, keep the meaningful resistance. that’s how we keep learning – and how we stay human while your tools get superhuman.
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ZΛRΛ
ZΛRΛ@isaaczara_·
Torc's brand/marketing design case study is ready. Suggest a date for @Behance launch ⇥ 🚀
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wabi
wabi@wabi·
(actual) liquid glass a loading exploration
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Clement Hugbo
Clement Hugbo@codemathics·
i built a private, autonomous ai agent two weeks ago to help me chat with my contacts whenever i’m unavailable or need time to focus. turns out, i’m not the only one who needs something like this. join the waitlist to become one of our early testers. whatsy.ai
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Tayo Aina
Tayo Aina@tayoainafilms·
In the world of AI where building has become easier, distribution is everything.
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Guillermo Rauch
Guillermo Rauch@rauchg·
Entrepreneurship is more about stamina than it is about genius
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Dee 𖤍
Dee 𖤍@iamDeeSigner_·
@codemathics Going back to watch the Uber movie again and the read his comeback speech on the TL so I get a better picture
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TBPN
TBPN@tbpn·
"Go all the way until it hurts. If you're doing something and it's easy, it's not valuable." - @travisk "If anyone says a strategic thing was easy, I'm like, 'You messed up. You could have gone way further. More competitive advantage. More differentiation. Get it together.'"
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Clement Hugbo@codemathics·
there’s hardly a better way to fix a bug than to reproduce it and trace it straight back to the root cause. 😔
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Stani.eth
Stani.eth@StaniKulechov·
Earlier today, a user attempted to buy AAVE using $50M USDT through the Aave interface. Given the unusually large size of the single order, the Aave interface, like most trading interfaces, warned the user about extraordinary slippage and required confirmation via a checkbox. The user confirmed the warning on their mobile device and proceeded with the swap, accepting the high slippage, which ultimately resulted in receiving only 324 AAVE in return. The transaction could not be moved forward without the user explicitly accepting the risk through the confirmation checkbox. The CoW Swap routers functioned as intended, and the integration followed standard industry practices. However, while the user was able to proceed with the swap, the final outcome was clearly far from optimal. Events like this do occur in DeFi, but the scale of this transaction was significantly larger than what is typically seen in the space. We sympathize with the user and will try to make a contact with the user and we will return $600K in fees collected from the transaction. The key takeaway is that while DeFi should remain open and permissionless, allowing users to perform transactions freely, there are additional guardrails the industry can build to better protect users. Our team will be investigating ways to improve these safeguards going forward.
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Brycent
Brycent@brycent·
Looking to connect with more videographers in SF/bay area. Working on a ton of content over the next few months and need someone who is talented with a Sony camera.
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Genie
Genie@geniestudioapp·
AI images are everywhere. On brand ones aren't. Until now. Create stunning images, illustrations and animations that actually match your brand. try now at geniestudio.app
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Startup Archive
Startup Archive@StartupArchive_·
Sam Altman explains how to come up with a great startup idea “Wait to have a good idea before you start a startup. If you start a startup without a good idea… you’ll be under pressure to make something up and it won’t work that well. The very best startups are all started because someone believes so passionately in an idea and they believe that a startup is the best way to make that happen.” As Sam explains in the clip below, the hard thing about good ideas is they require original thought. Most people just copy other people’s thoughts, but it’s usually disastrous if you try to copy someone else’s idea. For example, thousands of social media and photo sharing apps were started after Facebook and Instagram, but very few went anywhere. You want to do something that’s new and different. A good way to come up with startup ideas is noticing problems in your own life: “It’s not true that all successful startups are started to solve a problem that the founders have themselves, but it’s a very high percentage. If you go back and think about the transformational companies, most of them start with someone solving their own problem.” Another thing you notice if you go back and look at all the really successful companies is that many of them were early to a massive technology wave. Sam believes these “Great Waves” are why great companies tend to cluster in time (e.g. Amazon and Google with the Internet wave; Uber, Airbnb, Snapchat, Instagram, WhatsApp with the mobile wave; etc.). “A really good question ask is: What is the wave that’s starting right now?” Sam also wrote an essay on this: Idea Generation. Video source: @WaterlooENG (2017)
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Clement Hugbo
Clement Hugbo@codemathics·
@Dum3bi congratulations, my bro! such a very proud daddy. 🥹
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Chukwudumebi Iwuchukwu
Chukwudumebi Iwuchukwu@Dum3bi·
npm run dad 🔁 Spawning new child process…
🥰 Compiling cuteness overload…
📤 Deploying to real world… ✅ Build successful! 😴Warning: 404! Sleep Not Found Our cutest little feature ever has been installed. Baby v1.0 arrived! Dad mode: fully activated. Time for some all-night debugging sessions!
Chukwudumebi Iwuchukwu tweet mediaChukwudumebi Iwuchukwu tweet media
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Clement Hugbo
Clement Hugbo@codemathics·
@bolutifeawakan @PaulDamalie this response and the main one before it is 100% apt. it's a "business" fgs! give people the chance to try things, experiment ideas and messaging. distribution has never been an easy one to crack, even large enterprises are still figuring things out.
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Bolutife Awakan of London 😊
Bolutife Awakan of London 😊@bolutifeawakan·
My response is literally in the first paragraph. There’s no conflation anywhere here. I have one argument and one only. It is that we need to add this layer to the ‘global’ models to solve certain kinds of problems. And like I said, I’m not necessarily agreeing with their choice of words, but of course, they are new and would try different messaging to see what appeals to their intended market. It’s a business, it’s left to them to utilize the feedback.
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Bolutife Awakan of London 😊
Bolutife Awakan of London 😊@bolutifeawakan·
Okay, i’ll speak to this push-back based on my own experience building an AI-product, and not necessarily their execution or choice of words. LLMs are simply not trained with the African context and nuance in mind. Case in point: I once worked on a product for a particularly industry, one where the elderly and less formally educated could easily communicate (mostly speak) in pidgin, local slangs, code-switches, and the AI would interpret without losing meaning. Because lives were literally on the line, and relying solely on global AI companies doesn’t exactly guarantee us that kind of specificity. We’ve always casually said to ourselves “no one is coming to save us” and honestly, it’s true. We are not a priority us because we were never their primary market. So the work falls on us: to take the models that already exist, and train them on our local context and nuances. The collaboration is the only way I see us genuinely building AI for ‘us’ without necessarily competing. And please, don’t limit your thinking to Nigeria or cities. Even though Nigeria has 100s of languages, this is a continental problem with thousands of languages involved, the linguistic and cultural gaps are real and they affect real people. General fluency is not the same as contextual accuracy, and in the certain industries, that difference costs lives.
Veta Origin@vetaorigin

Global AI wasn’t built for Africa. So we built one that is. Powered by an African LLM.

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GREG ISENBERG
GREG ISENBERG@gregisenberg·
karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo github.com/karpathy/autor… for your to mess around with it in the latest episode of @startupideaspod i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch
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