Jongwon 🇰🇷

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Jongwon 🇰🇷

Jongwon 🇰🇷

@jwpark02

engineering blockchain and AI / @StoryProtocol / @IllinoisCS / human AI frog

Seoul Katılım Mayıs 2020
560 Takip Edilen2.3K Takipçiler
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Poseidon
Poseidon@psdnai·
AI was trained on the open internet, but the data that matters most lives in the real world. Introducing early access to Numo, an app built to collect the next generation of AI training data. Starting with voice data collection in Bengali, Hindi, Tamil, and Telugu. Details ↴
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Jongwon 🇰🇷
Jongwon 🇰🇷@jwpark02·
@Shaughnessy119 Lots of things like ads, hardware, image/video, sora, audio, etc. not coming into revenue fruition
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Jongwon 🇰🇷
Jongwon 🇰🇷@jwpark02·
@toly @mert @sama Codex subsiding heavy compute to win (thank you, SoftBank) while Anthropic is dumbing down their CC models with profit-driven optimizations
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toly 🇺🇸
toly 🇺🇸@toly·
@mert @sama Nah. 4.6 was faster and two iterations felt like the same as best one shot of codex, but more consistent
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toly 🇺🇸
toly 🇺🇸@toly·
Damn, there really is a gap between codex and Claude, nuts. @sama you crazy sob
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Jongwon 🇰🇷
Jongwon 🇰🇷@jwpark02·
@samthekorean it's very outdated mindset and way to excuse, like asking to learn latest mega AI tool using a book (it doesn't exist)
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sam.
sam.@samthekorean·
met someone in korea today. they asked if i have a “license” to teach founders. it was such a weird question. since when do you need a license to help founders build startups? any other countries have this ‘license’ thing?
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Route 2 FI
Route 2 FI@Route2FI·
After Aave got bad debt --> normal users rushed to withdraw ETH/stables --> pools slammed to 100% utilization = no one can get out. Stuck depositors realized they couldn’t withdraw but could still borrow --> they maxed their credit, yanking out as much stables as possible via loans. Lenders turned into leveraged borrowers on a pool that already had a hole --> risk spirals higher. Whales/normies/treasuries pulled almost $8B from Aave and derisked on other similar protocols (Morpho, Sky, Fluid, Kamino, etc.) --> bridge/LST collateral is now “radioactive” in the eyes of serious money. Heck, many people won't even deposit USDC/USDT alone. Simply because it's not worth it for 3% APY, since you might lose 100% of your capital. DeFi works as intended, but at what cost? Will be interesting to see what comes out of this.
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Tommy
Tommy@Shaughnessy119·
Let me break down why @NousResearch Tool Gateway is so important for Agents Right now if you want - Image generation - Text to Speech - Browser automation - Web Scraping - LLM Or any of the 100s of other tools you need to signup with each provider and get an API key Dozens of API keys and billing accounts to manage. It's very annoying. With Nous Tool Gateway you get ALL of these tools setup AUTOMATICALLY through your one Nous account Switch your agent to a Nous plan and cancel your laundry list of APIs Signup: portal.nousresearch.com/manage-subscri…
Nous Research@NousResearch

Tool Gateway is now live in Nous Portal. No separate accounts, no API key juggling. All you need is one subscription, and everything works. A paid Nous Portal subscription now includes access to 300+ models and a growing set of third-party tools. Launching with: → Web scraping → Browser automation → Image generation → Cloud terminal backend → Text-to-speech

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Ian Miles Cheong
Ian Miles Cheong@ianmiles·
Marc Andreessen highlights why the people who work for Elon Musk echo the exact same sentiment as those who worked for Steve Jobs. Even after difficult interactions or a sudden departure, they inevitably report that they did the best work of their entire lives because they were pushed to their absolute limits. What drives this intense environment is a demand for truth-seeking at all costs. People who criticize Elon often miss this fundamental trait. He genuinely wants to know the ground truth and has zero tolerance for anything else. When confronting bad news, he is absolutely ruthless and relentless in making sure he understands exactly what is actually going on. This level of radical transparency is shockingly rare in the business world. The typical startup founder operates on forced optimism, constantly putting on a brave face, telling everyone to have faith, and promising that everything will be great just to keep talent from leaving. Elon completely flips that standard script. He operates with pure urgency by simply telling the unfiltered truth, even when that truth is that the company will go bankrupt and die if they fail. In almost any other corporate environment, that level of blunt, existential dread would cause the talent pool to immediately bleed out. But for the teams working under him, that brutal honesty acts as the ultimate catalyst. It strips away the corporate fluff and forces them to rise to the occasion, leaving them with the undeniable realization that, much like the engineers who built the first iPhone, they just completed the greatest work of their careers.
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mert
mert@mert·
anthropic mythos marketing is so goated, imagine we marketed crypto this way I have developed a blockchain that is so good at facilitating crime and getting people addicted to gambling that we are only gonna distribute the tokens to the team for now.
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Wecryptotogether.Mega
Wecryptotogether.Mega@Edward__Park·
이제 외국인들도 내가 한글로 트위터에 똥을 싸도 편하게 읽을 수 있나요? 저는 보통 5일에 한 번 똥을 싸요
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Cited
Cited@cited·
anyone in seoul?
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Jongwon 🇰🇷
Jongwon 🇰🇷@jwpark02·
Why didn't audio-first social take off?Clubhouse, Spotify Live, Airchat, etc. X Space seems to be popular. Maybe live audio requires a host/mc so it can't fit into everyone's social experience?
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MLM
MLM@mlmabc·
HLP is currently long 76M Fartcoin (~$15.4M) and is already down ~$1M on the position.
MLM tweet media
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Dan Martell
Dan Martell@danmartell·
Jack Dorsey just published something that should be required reading for every founder. The premise: the org chart needs to be replaced entirely. And the argument starts 2,000 years ago. For thousands of years, every organization on earth has run on the same logic the Roman Army invented. Small teams report to a leader → Leaders report to managers → Managers report to executives. The whole structure exists for one reason: to route information up and down the chain. That's it. The whole system exists to solve a bandwidth problem. Jack's argument is simple: AI solves it better. Block built what they call a "world model" - a continuously updated picture of everything happening across the company. Every decision. Every customer. Every transaction. Every bottleneck. In real time. No status update needed. No weekly sync. No manager to translate what's happening on the ground into language the executive can understand. When the world model carries the information, you don't need the layers. So they eliminated them. Block now runs on three roles: Individual contributors who build. DRIs who own specific outcomes for a fixed period. Player-coaches who develop people while still doing the work themselves. No middle layer. The system handles coordination. The humans handle the work. I've coached thousands of founders. The number one problem is always the same: information latency. By the time a problem surfaces from your front line to leadership, it's already compounded. By the time a decision travels back down, the damage is done. That lag costs you deals, people, and momentum. And most founders accept it as the price of scale. Block is trying to prove you don't have to anymore. I think they're right. Because the hierarchy was never the point - it was just the best tool we had. The moment something better exists, the layers eventually collapse. This is either the biggest structural shift since the 1850s - or it breaks at scale like everything else before it. Either way - every founder should be asking the same question: how much of your org exists just to route information? If the answer is "most of it" - that's your problem. And your opportunity. -DM
jack@jack

x.com/i/article/2038…

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dr cavey phd ∿
dr cavey phd ∿@cavemanloverboy·
my prediction is that there will be a fork in the road here, due to the fact that there has been no step function improvement in inference efficiency. most users of AI don't need insane intelligence. use cases of models that are 100x more intelligent than current are basically only research, industrial, military. so product offerings will fragment into two: 1. retail ai: roughly 2-5x as intelligent as current that will remain at current prices 2. frontier ai: research, industrial, military, which is expensive this will emerge soon and remain true until we get the step function improvement in inference we need, which is probably 1-4 years if i had to guess
sui ☄️@birdabo

the Anthropic leak is bigger than we thought. three weeks before Mythos leaked, rumors were circulating that a frontier lab completed its largest training run ever and the model performed roughly 2x above what scaling laws predicted. no lab was named but now we know it was probably Anthropic. they confirmed to Fortune that the new model is a step change. their own leaked blog says it scores dramatically higher than Opus 4.6 in coding and reasoning and is far ahead of every other model right now. this also explains OpenAI gutting Sora and scrambling to raise capital. if massive training runs are the only way to stay competitive, you cut everything else and stockpile compute. the part nobody wants to hear is that frontier AI is about to get much more expensive to run and use. instead of getting cheaper, the best models might cost us a house 💀 compute is the new oil. the middleman (Jensen) wins again.

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