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Samahan natin ang #MNL48# and #RRules# this June 2 sa Tugatog Thursdays on Kumu! 🥳 May chikahan, performances, at ticket giveaways na nakahanda, so download Kumu na and follow ANT TV: Kitakits #MNLoves# and #RRulers#! 😘

$RTX is more than a ticker. It’s a vision. It’s a world waiting to be built. It’s a brand waiting to be recognized. Today, $RTX officially launches the RTX Creative Mission, inviting creators around the world to shape the future of the RTX universe. Whether it’s memes, artwork, videos, animations, or storytelling—your creativity could become part of the $RTX identity. 🏆 US$10,000 worth of NVDAB rewards Create. Inspire. Define $RTX. 📖 Rules + Entry ↓ ⸻ 🧵 Thread 1 What should the future of $RTX look like? That’s for the community to decide. Create anything inspired by $RTX, including: • Memes • Posters & Visual Design • GIFs & Animation • Videos • Stories & World-building • 3D Art • Multilingual Content • Any original creative format Let’s build an identity that people recognize instantly. ⸻ 🧵 Thread 2 Your creation could become part of the $RTX brand. To enter, include: ✅ $RTX ✅ @fourdotmemezh ✅ @rtxonbnbchain ✅ #DefineThebSTOCKEra# AI-assisted work is welcome, but every submission must reflect meaningful human creativity and originality. Don’t just hold $RTX. Build $RTX. 🚀

Today, I want to share something that happened to me on Kraken. I’m completely new to crypto, and this was my first time using Kraken. All I wanted to do was convert USDC into USD. Unfortunately, because USDT and USD differ by only one letter, I accidentally selected USDT instead of USD. I didn’t realize my mistake until the transaction had already been completed. In less than a minute, a single misclick resulted in a loss of approximately 810 USDT—more than $800. To be honest, I was shocked and devastated. Like many newcomers, I assumed that all major stablecoins were worth roughly the same, so converting between them would involve little or almost no loss. I never imagined that such a simple mistake could instantly cost me more than 1% of my funds. I immediately contacted Kraken Support, hoping they would understand that this was an honest human error and review my case, or at least consider making a one-time exception. What disappointed me even more was that almost every response came from AI. I was never able to speak with a real support agent. The only explanation I received was that the transaction had already been executed, the conversion details had been displayed before confirmation, and therefore nothing could be reversed or refunded. I understand that Kraken may not have violated its own rules, and I acknowledge that the final amount I would receive was displayed before I confirmed the transaction. But I believe that “the information was displayed” does not necessarily mean “a new user truly understands what it means.” As a beginner, I saw what I believed was a normal stablecoin conversion. I had no idea that the number shown on the confirmation screen meant I was about to lose more than $800. If a platform expects users to recognize an $800+ pricing difference on their own, instead of proactively warning them that the conversion is unusually unfavorable, I don’t believe that’s a user-friendly experience—especially for beginners. I believe that a platform responsible for customers’ assets should do more than simply display numbers. It should also be designed to help users avoid obvious mistakes that can lead to significant financial losses. Crypto is already complicated enough. The risks users take should come from the market—not from a product design that makes such costly mistakes so easy to make. This experience has left me deeply disappointed and has almost completely destroyed my trust in Kraken. I’m not trying to deny Kraken’s rules, and I’m not asking for special treatment. I’m simply asking @kraken and @krakensupport to review my case, seriously consider improving the user experience, provide real human support when genuine mistakes happen, and consider a one-time resolution for customers who make an honest human error. If this could happen to me, it could happen to any newcomer entering the world of crypto. I hope my experience helps others avoid making the same mistake. Please double-check every click. @krakenfx @krakenpro @krakensupport

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Here is my AI investing guide. Sitting here August 2026, my current best thoughts are as follows: 1. LPS (Land Power Shell) is still the most obvious and fastest path to cash on cash returns. Lots of value can be assembled and traded quickly at this layer. And as data centers get more pushback, energized land can explode in value. Very bullish here. I’ve stepped into this layer very aggressively. My partner @anitavlallian and I have acquired almost 6GW coming online in a ramp from today thru 2029 of grid power and behind the meter. 2. Silicon - I helped get @GroqInc off the ground in 2015 and we licensed it to @nvidia for $20B Dec2025. I won’t invest or incubate anything in this layer now. The perf demands of the chips are too high, manufacturing precision is too complex and supply chain influence to get adjacent components like memory isn’t possible for a startup anymore. Lots of capital will be wasted here chasing Groq and Cerebras’ success. Note that both startups made sense a decade ago when these constraints were much more modest. 3. Clouds - Clouds are very very lucrative but very hard to build and very expensive and technically complicated to maintain. And as alignment becomes a more important issue, I expect the clouds will be asked to build robust KYC and attest to it. This makes the risk:reward ratio skewed. I don’t want to be responsible when the USG says a cloud allowed a bad actor to do something bad because of poor KYC. 4. Models are complicated. The big open question is how much of the revenue being generated by them today is because of tokenmaxxing and poor model behavior. If it’s a lot, then the annualized revenues will diminish meaningfully even as token consumption inflects upwards. This is the big economic question at this layer. 5. Harnesses are where the action is and why I started @8090solutions two years ago. In a nutshell, the harness helps enterprises owns their proprietary context (what Alex Karp calls their ‘alpha’). This is an enterprise’s data, workflows, evals, and business rules. A harness that gives this to an enterprise is what creates very low model-agnostic switching costs, which further reinforces my views of #4# above. 6. Applications will be another long term winner along with harnesses. This is where the differentiation between “off the shelf” and “custom time and materials” melts away. Every company, with the right harness, can now imbue their alpha into the software that runs their company. I expect this to mean that “off the shelf” is largely replaced with custom software creating a huge opportunity to write these solutions for companies. Build once and sell repeatedly is a laggard GTM motion for a SaaS world that isn’t needed here. Think custom by design, alpha embedded, proprietary by nature. Fin. Good luck to all the players!

800 million people were lifted out of extreme poverty in China thanks to a little bit of capitalism. Central planning doesn’t work. At least Deng Xiaoping saw Mao’s catastrophic blunders and understood that. Which is why when he took power, he ripped out the collectivized economy by the roots. >let farmers work their own plots and sell what they grew instead of farming for the state (food production soared almost overnight) >carved out Special Economic Zones like Shenzhen where foreign capital could operate under different rules than the rest of communist China > poverty crashed from nearly 90% in 1981 to under 4% by 2016 On his Southern Tour in 1992, Deng told CCP officials “to get rich is glorious.” He was right btw. And it is best done through private property and free markets.