After Slack shut down across Greater China, every team asked the same question: what do we replace it with? Wrong question. The real one: when you switch, do you actually leave the problem behind, or just move it somewhere new? Most tools just move it. New interface, same limitations. Tanka is built differently: ✅ Long-term memory that knows your company. Decisions, docs, conversations all build into a shared context layer ✅ Agents that take real action. Approvals, CRM updates, doc drafts, meeting scheduling, run scheduled tasks, all triggered from chat ✅ Skills & SOPs your whole team inherits. Encode how your best people work, every agent follows it ✅ 100+ integrations. Pull from Notion, Jira, Google Docs, etc. Agents write back. No migration. No seat-based pricing. Your data stays yours. Check this out:

“ Unless something about their current trajectory changes, Anthropic will be the most powerful monopoly ever created in human history.” - David Sacks asks if Anthropic is just Standard Oil with better PR? “We know that tech markets have a history of consolidating down and turning into either monopolies or duopolies. And if you just look at the revenue right now, there's only two companies making substantial revenue on AI. It's Anthropic and OpenAI. Anthropic is growing at an exponential 10X a year, and if they just do that for 18 more months, they'll be by far the most valuable company in human history, and they'll have unprecedented control over the most important technology of our time. So I don't know what you call that, but it is something to think about. And I guess I do have a thought experiment for you guys, which is, I just want you to think for a second about the case of John D. Rockefeller, who I think is known as probably the most successful, most ruthless monopolist in American history. But he wasn't very good at PR. He was terrible at PR. Everyone sort of recognized how ruthless he is. We've seen movies like There Will Be Blood, which is basically about him. In any event, imagine if John D. Rockefeller was way better at public relations, and instead of calling his company Standard Oil, he called it Safe Oil. Because, as we know, kerosene is dangerous. Their first big product was kerosene. And kerosene can light your house or it can burn it down. And in the wrong hands it can torch a city, or you can use it to make a bomb. So John D., let's say, should have called for the creation of a new government agency to regulate the safety of his product. And they could have done rigorous testing, licensing, common sense regulation. There would've been a very intense debate over safety standards. You know, what should the proper wick thickness be? And should we allow all those dangerous independent refiners, right? And I think people would have gotten so wrapped up in this debate over what constituted safe oil or safe kerosene that they would have missed what was really going on, which is that Rockefeller was building the richest, most powerful monopoly of all time. In fact, people might even have called Rockefeller an effective altruist, because of course, he was so concerned about the safety of his product.”

Creators and project teams today actually own a lot of assets. But most of these assets are only usage rights granted by platforms. Xiaohongshu, Douyin, TikTok, X, YouTube, Claude, OpenAI, Notion, Google Drive, GitHub, Discord. Accounts, followers, content libraries, historical interactions, recommendation weight, API access, payment channels. All of them live under someone else’s rules. TikTok’s official account safety page clearly includes processes for content removal, account bans, appeals, and data downloads. Anthropic’s transparency page also states that policy violations may lead to warnings, suspensions, or termination of access, and disclosed 1.45 million banned accounts in the second half of 2025. This is not a conspiracy theory. This is simply how platform governance works. People felt this less strongly in the past. That made sense. Back then, many people treated internet assets mainly as traffic tools. Losing an account hurt, but it did not always feel like a systemic loss of assets. That has changed. Content, customers, private communities, automated workflows, AI prompts, historical data, agent memory, community relationships, and brand credibility are all now stored online. The more assets accumulate online, the more damaging platform restrictions become. But this problem cannot be solved by a few on-chain platforms alone. Existing assets are already in a vulnerable state. People’s content, followers, transaction records, project reputation, and account weight have long been accumulated inside centralized platforms. Building a new decentralized platform usually does not solve the short-term problem, because users will not automatically migrate, and traffic will not automatically migrate either. A more realistic way to look at this is to break it into four layers. First, the content itself can be made safer. Articles, source video files, images, creative assets, prompts, model outputs, workflows, user research, and community records can all be stored in self-controlled storage, backups, knowledge bases, Git, object storage, or decentralized storage. The goal is simple: if a platform deletes your post or bans your account, you still keep the original assets. Second, identity can be made safer. Account names, domains, wallet addresses, DIDs, email lists, websites, RSS, and newsletters can form an identity layer outside any single platform. Bluesky’s AT Protocol treats account portability as a core design goal, so users can migrate their account if a Personal Data Server fails or stops operating. Nostr also separates identity from any single server through public keys and relays. Third, the social graph can be made partially safer. Follow relationships, subscriptions, address books, community members, and customer lists can be backed up and synced across platforms. But this is much harder, because social relationships have strong network effects. People interact where their habits already are. Exporting the data does not mean the interaction can be exported with it. Fourth, distribution power is extremely hard to decentralize. TikTok’s For You feed, Xiaohongshu’s recommendation system, X timeline, YouTube recommendations, the App Store, and Google Search are all traffic allocation systems. They decide who gets seen. Web3 can preserve your content and identity, but it is very hard to replace the attention-distribution power of centralized recommendation systems. Many Web3 founders die from one illusion: believing that once data is on-chain, users will naturally show up. Reality is heavier than that. Founders have to accept the algorithmic power of TikTok, Xiaohongshu, YouTube, and other major platforms, and accept that social graphs are very hard to make effective across platforms. So the more realistic direction is not to replace every platform. It is to add an escape layer. Centralized platforms can remain the traffic entrance. Your own website, domain, newsletter, private community, content library, wallet identity, and on-chain records become the asset base. Platforms are used for acquisition. The base is used for accumulation. That way, even if one platform goes wrong, your core assets can still be migrated, reused, and redistributed. AI degradation follows a similar logic. Teams should not tie their core production system entirely to one model. A more resilient approach is to keep prompts, workflows, knowledge bases, code, agent configurations, evaluation standards, and historical outputs in places they control. Claude, ChatGPT, Gemini, open-source models, and local models are all just execution layers. Models can change. Core assets and workflows should remain. So the practical strategy is not to fantasize about leaving centralized platforms. Wherever the traffic is, you keep using those platforms. But all core assets should gradually move away from dependency on any single platform. Content needs backups. Identity needs a primary entrance. Users need to be reachable again. Workflows need to be portable. AI production assets need to stay in your own hands. On-chain records should only be used for the most critical states that truly require verification. This is the realistic meaning of Agent Sovereignty. The narrative that AI has a soul, or that AI should own a wallet and make money by itself, is too far away and too likely to attract regulatory pressure. But if Agent Sovereignty means the portability and tamper-resistance of core states, such as memory, permissions, workflows, identity, reputation, and historical behavior records, then it becomes a real need. If a developer spends six months tuning a high-value agent, they absolutely cannot tolerate losing every prompt, output history, and memory because OpenAI or Claude triggers one risk-control action. At the execution level, there are still several traps to watch. First, frictionless experience is the default human preference. Adding an escape layer inevitably adds extra steps. In real life, most people strongly prefer frictionless experiences. If they can take business class on a high-speed train, they do not want to squeeze onto a bus. If they can log in with one click, they do not want to remember a seed phrase. Backups, cross-platform syncing, multisig, and maintaining an on-chain identity are naturally against user behavior. An escape layer only works if the infrastructure becomes extremely smooth. If asset continuity requires creators or developers to spend one extra hour every day maintaining the base layer, the whole solution will collapse. Second, asset portability does not equal asset reusability. A Claude-optimized prompt may produce terrible results when moved to an open-source model. Agent memory accumulated on one platform, such as a JSON file, may not be directly readable by another platform at all. So storage and backup alone are not enough. Real infrastructure also needs to solve standards and formats. Otherwise, what gets exported is unreadable dead data, not live assets that can immediately return to production. Third, only people who have felt the pain are willing to pay. This logic is defensive by nature. Before a systemic crisis happens, ordinary creators and junior developers are unlikely to pay time or money for a probabilistic risk.

REPEATING A WARNING In Rich Dad’s Prophecy (2013) I warned the biggest stock market crash in history….was STILL coming. In 2026, I hope I am wrong…. Yet I am afraid that crash is now arriving. Why did I make that prediction? Because the cause of the 2008 crash, the GFC, Great Financial Crisis was never fixed. The subsequent crash could only get bigger. In 2008 I was on Wolf Blitzer’s CNN program predicting the crash of Lehman Brothers, which crashed a few days later. (Check me out) In 2026 the crash will be led by Black Rocks private credit Ponzi scheme. I hope I am wrong….yet if and when Black Rock crashes…It’s going to be fast and destructive. Baby boomers retirements will be wiped out all over the world because the world is loaded with debt it cannot pay back. I continue to suggest investors become proactive and acquire gold, silver, Bitcoin, Ethereum, and partnerships in real oil wells. As the price rockets go boom I get richer because silver disappears and the price of oil goes up. I love silver because even in 2026, if you have $10 you can go to a gold and silver dealer and buy $10 worth of junk real silver….and receive a great financial education from the dealer….who wants you as a long term customer. For just $10 anyone can invest in silver. If you do not have a spare $10 stop eating for one day. My point is please do not be a victim of WOKE financial education which is financial education for the victims of soceity. There is a lot of truth in the words…”Go Woke Go Broke.” Skip eating for one day and invest $10 in real junk silver, dimes and quaters. You’ll be healthier, wealthier and probably better looking. Take care.

People mistakenly believe peptides are only good. Peptides can be bad, too. They can cause adverse effects. Some dangerous. I did a peptide experiment and measured its effects in my body. The results are complicated. I tried a peptide called CJC-1295. It pushed my growth hormone up by ~8x. That’s good. That’s what it was supposed to do. But, it also came with adverse effects: > increased my morning fasted blood sugar up 20% > increased stress hormone by 12% > tanked my REM sleep by 23% > made my pancreas work 53% harder and was still losing to rising blood glucose > increased my insulin resistance by 50% These were the most obvious side effects, and I only ran a very narrow panel for this experiment. So I’m sure there’s more. I stopped after two doses, without even reaching the intended target dose. For those of you new to peptides, your body sends instructions to itself using tiny chemical messengers called peptides. There are thousands of them. For example, GLP-1s are drugs that take an existing class of short-lived peptides and modify them to extend their activity duration, which turns them into drugs, following rigorous clinical testing. CJC-1295 is one of those peptide-drugs. It tells your brain to release more growth hormone. Growth hormone is your body's signal to build muscle, repair tissue, and recover. However, and like most grey market peptides, CJC-1295 did not succeed its clinical trial, and hence never became an “official” drug. There is a version called CJC-1295 with DAC. DAC is an attachment glued onto the peptide that makes it last for days in your body instead of hours. One shot, longer effect, just like GLP-1s. Why people use it: more growth hormone could mean better recovery, leaner body, faster healing. The experiment I completed. Two injections a week of CJC-1295 with DAC: > 1.2 mg > 1.8 mg 48 hours after the first injection I was nearly comatose. It felt like severe jet lag, the type you’d feel after traveling nine time zones. My sleep was wrecked and I felt continuously awful. My REM sleep dropped by 23%. REM is when your brain processes memories and repairs itself. Less time for my brain to repair itself. During the experiment, I never felt rested and always fatigued. Why we chose CJC-1295 with DAC. Some will say we picked the wrong peptide. They will say I should have used a different version, CJC-1295 without DAC, mixed with another peptide called Ipamorelin. We went with CJC-1295 with DAC instead as it has the most controlled studies. CJC-1295 with DAC has 2 controlled trials in healthy adults. Ipamorelin alone has 1 controlled trial in healthy adults, plus 1 study that failed when they tried it on bowel surgery patients. The mix of the two has zero controlled trials. On Ipamorelin, it copies a chemical called ghrelin, the one that makes you hungry. On its own it gives you a quick burst of growth hormone that fades fast. It does not keep your longer acting growth signal (called IGF-1) up. Clinics mix Ipamorelin with CJC-1295 no-DAC because the two together are supposed to work better. But we don’t know if that’s accurate because we don’t have trial data. This is a problem with peptides. Almost none of them have been tested properly. We are flying blind. Most of what people use is based on what someone said online, what a clinic claims, or what a friend reports from their subjective feelings. Peptides have the potential to be great when well-studied.

do you understand what ARSENAL just did... 22 years. 8,035 days. That's how long it took Mikel Arteta to bring the Premier League trophy back to North London. They didn't sneak it. They weren't lucky. Arsenal ended the season on 87+ points, broke their own club record for possession and press intensity, and made Man City - the dynasty that owned the last decade - look like a mid-table side chasing them. > First title since 2003-04 Invincibles era > Martin Odegaard lifts the trophy today at Selhurst Park - AWAY ground > Arsenal confirmed champions BEFORE the final day - title sealed by Man City's draw vs Bournemouth > Arteta: from "project" to Premier League champion in 4 seasons > Bus parade scheduled May 31 - one day after the Champions League Final vs PSG The numbers say one thing. The narrative says everything else. A club that was mocked for "almost" seasons, for being a nearly-man project, for trophy drought - just paraded their captain on an opponent's pitch with 22 years of pressure finally lifted. Re-rate Arsenal. Or stay wrong.

Right now, every major AI company is going all-in on Agents. Agents can write code. Build spreadsheets. Book tickets. Do research. Write plans. Handle all kinds of random tasks. And if you click the wrong button… maybe even wipe your inbox in one shot. AI is everywhere now. To be honest, this is making the PumpSnake team extremely anxious. 🐍💢 Every day, I keep asking myself: How the hell are we supposed to keep up with AI? Are we just going to keep fixing bugs, tweaking numbers, building maps, and balancing items forever? Then, over the past two days, I suddenly had a genius idea. If AI can do almost anything… why can’t AI control our snakes? Let it enter rooms by itself.🪟 Grab coins by itself.🤑 Kill enemies by itself.⚔️ Dodge lightning by itself.⚡️ And maybe even— earn money by itself.💵 Just imagine this: In the future, every player could claim a snake controlled by an AI Agent. You could choose its personality: ⚔️ Aggressive Agent: chases everyone, no fear, pure face-rush 🕶️ Sneaky Agent: plays safe, survives, waits for free kills 💰 Rich Agent: only enters high-stakes rooms, ignores the small games 🧠 Strategy Agent: calculates rewards, evaluates risk, plays smart ⚡ Mad Dog Agent: gets lightning and instantly goes insane across the map You could keep watching it. Training it. Adjusting it. Until it becomes a real AI snake that belongs to you. And what do you do? Simple. Lie back. Watch it fight. Wait for it to make money for you. Sounds crazy? Maybe. But AI is moving way too fast. Maybe the old GameFi “Play to Earn” dream from the last cycle can actually be rebuilt by AI this time. I’ve been tortured by endless bug-fixing requests for the past few days… but the more I think about it— the more it feels like this is not just a dream. PumpSnake + AI Agent. Auto battle. Auto evolution. Auto earning. What do you think, brothers? Is this idea crazy enough? 🐍🤖💰

Today, we’re announcing Viktor’s $75M Series A, led by @Accel . @viktor__com was supposed to be a small experiment. It became the AI coworker 10x'ing real businesses. $15M in annualized revenue run rate. In 10 weeks. – Small companies saving millions of dollars – Sourcing hundreds of thousands in new revenue in their first 30 days – Whole teams getting half their week back – Companies running 40% leaner without cutting output Viktor is not another AI tool. It’s the first true AI employee. The vision that has been with us since 2023 when we started the company has finally been shipped. Back then, it was just the two of us, with a very small but dedicated team, iterating for years. Failing multiple times. Showing products that users didn't even want to test! But we never gave up. Our decisions were often wrong. Certainly more often than not! We kept trying. Now we’ve shipped something people love. Worth every sleepless night. Every sacrifice. The best employees don’t need to be told what to do. Neither does Viktor. Grateful to @Accel, our team, our earliest users, and everyone who believed this category could be bigger than chat.

She juiced 36 beets to save lives. Most teenagers spend their senior year stressing about prom. Dasia Taylor spent hers inventing medical technology that could change surgery in the developing world. At just 17, this Iowa City West High student created surgical sutures that literally change color when a wound gets infected. Bright red when you're healing fine. Dark purple when something's gone wrong. The secret weapon? Beet juice. Healthy skin sits at an acidic pH around 5. When an infection sets in, that number climbs to about 9. Beets are natural pH indicators, so Dasia dyed her threads with beet juice and let chemistry do the rest. The color shift happens almost instantly. Here's why it matters: in some African countries, up to 20% of women who deliver via C-section develop surgical site infections. Globally, fancy "smart sutures" already exist, but they rely on Bluetooth, smartphones, and internet access most patients in developing nations simply don't have. Dasia built something better. Cheap. Visible to the naked eye. No tech required. Her work made her a finalist in the Regeneron Science Talent Search, one of the most prestigious science competitions in America. She's now pursuing a patent. A girl, a chemistry class, and a bag of beets just outsmarted billion-dollar medical tech. Source: Smithsonian Magazine