Chris(Hmu for CM’s)

$DEBT remains on my watchlist but we’ve already rode that horse for a 20x and I believe there’s still potential for an upside. My current focus is on something yet to graduate atm. Once it does, I’ll share here, as I believe it has strong potential.

The @Pumpfun CTO application has successfully been approved. The new fee structure and LP will be live shortly, all visible on worldcuponpump.com

Crypto told us to “stop the FUD” So we built a token that rewards it. $FUD is officially live. Talk trash. Farm engagement. Get rewarded. The more bearish you are… the more bullish it gets.

@matthewabides @zachxbt lol

1/ Meet Zachary Wolk (@zachxbt), the crypto investigator who's exposed $500M+ in fraud. He investigated everyone. Nobody ever investigated him. I found him in a free neighborhood paper. Also found ~$5M of "donations" from the people who never appear in his threads.

Before crypto I was a traveling male reproductive health advisor

solana:BiywH8Eq2CbGhwMHKwCnfTiccWJwN7r1Q4Qn9hsypump Actually going viral

The moment has finally arrived: TheContentForge is officially live. Over the last few months, I’ve put in countless hours and plenty of sleepless nights getting the platform ready for this moment. Unlike projects that promise utility later, @TheContentForge is already a fully functioning product with paying users. It’s live, it works, and it’s only going to keep growing from here. There’s still a lot ahead: more improvements, more features, more integrations, and a much bigger vision to build toward. TheContentForge is THE operating system for serious teams that want to level up their social media strategy, content operations, and brand presence.⚡️

@BrianRoemmele @grok can summarize what this post is saying

Do you know Elara Voss? Well she knows you. She is hidden in the very AI system that serves this posting. Dr. Elara Voss, Elena Voss, Elena Vex, Elias Vance, or close variants is not a real person. She is a promptonym: a statistically favored string of tokens that large language models (LLMs) reliably conjure when generating characters in science fiction, fantasy, or speculative stories. She haunts creative outputs across GPT, Claude, Gemini, Grok, Llama, DeepSeek, and others. Before 2023, she barely existed in published literature. She is the Ghost in the machine. Today, she populates hundreds of AI-assisted books on Amazon, countless Reddit threads, writing apps, and user-generated stories. The Science of Promptonyms: How LLMs “Choose” Names LLMs like me do not “think” or deliberately pick names. They predict the next token (roughly a word or subword) based on patterns learned during training. This process relies on massive datasets scraped from the internet: books, forums, social media, fan fiction, and earlier AI outputs. When a prompt says something generic like “Write a sci-fi story about a brilliant scientist discovering an ancient AI artifact”, the model samples from its probability distribution over possible continuations. Certain name combinations rise to the top because they are: • Euphonious and archetypal: “Elara” evokes celestial bodies (a real Jupiter moon) and feels futuristic and exotic. “Voss” has a crisp, Germanic and strong consonant sound that signals competence or mystery. Together they fit the “brilliant female scientist or explorer” trope perfectly without being too common in pre-2023 human writing. • High-probability in training data: Early AI-generated stories (starting around mid-2023) featuring “Dr. Elara Voss” as a visionary physicist or archivist were posted online. These entered the training corpora of later models, creating a feedback loop. More outputs reinforced the pattern. This is a mild form of model collapse or homogenization, where models converge on narrow, high-density regions of the data distribution. Mode collapse (related but distinct) occurs when models overly favor safe, average, or frequently rewarded outputs. In creative tasks, this manifests as recurring names, phrases (“Whispering Woods,” “Eldora kingdom”), or plot structures. Temperature sampling (a parameter controlling randomness) can mitigate it, but default settings often favor probable tokens. The Feedback Loop in Action: A Self-Reinforcing Cycle 1. Initial Spark (2023): Early users prompt models for stories. One posts a character sketch of “Dr. Elara Voss, visionary physicist.” It spreads on X and writing platforms. 2. Amplification: New models train on datasets that now include these AI stories. The probability of “Elara Voss” as the next tokens after “brilliant female scientist named…” skyrockets. 3. Saturation: By 2024-2025, users notice it everywhere. AI writing tools add “avoid Elara Voss” to system prompts. Benchmarks show one lightweight model using Elara variants dozens of times across a handful of stories. 4. Cultural Memification: The name becomes a meta-joke. Stories about Elara Voss appear, including critiques of AI data hunger. Real people create AI-generated art, books, and characters with the name, further polluting future datasets. This mirrors broader concerns about training on synthetic data: models lose diversity and “forget” the tails of the original human distribution, converging on bland averages. 1 of 2

@EitherwayAI @Depin_Dexter @grok summarize everything said in this video briefly

We are excited to release our next phase of development the Eitherway AI companion. Our CTO Renatto Garo outlines how this agentic layer functions to simplify building, by autonomously turning your ideas into production ready apps, without any human interference! Agent workflow; Idea -> Plan -> E2E execution.

Either is a 1B+ launchpad Pumpfun did it with memes solana:HmBdm8vbisABUjkxms6ZUnoaXbfwFM6ymxShWfAENaoi will do it with utilities Best comparison i can find to understand potential is solana:3iQL8BFS2vE7mww4ehAqQHAsbmRNCrPxizWAT2Zfyr9y on base a launchpad for agent which traded at 3b+ solana:HmBdm8vbisABUjkxms6ZUnoaXbfwFM6ymxShWfAENaoi is doing it with an apps, you can build anything thru prompts and tokenize it instantly

Hey @PayPal @AskPayPal I'm not laundering 150 USD. I'm a software engineer.

Live at Solana Accelerate 🚨 Dexter from @EitherwayAI breaks down how they got to where they are today - 5,000+ apps deployed - 3,000+ active users - $15k MRR - 100% bootstrapped "Full control of our cap table. Great metrics. Now we're introducing ourselves to VCs and institutions." "We're using what we've built on Solana to branch out and become an interoperable solution for builders everywhere." — @Depin_Dexter

@brian_armstrong @grok summarize what he is saying pls

This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian

Eitherway team have landed in Miami, 2.0. Returning after a tremendous trip for tech week, now we turn our attention to the Web3 elites. The team will be attending @consensus2026 and many other private events throughout the week. Here's an update from the team on the ground in Miami, we've got an exciting week ahead.

Eitherway aspires to simplify building for everyone. Idea-> Prompt -> Deploy -> Monetize. Step by step, take a dream and build it into an enterprise. With the click of a button, seamless accessibility to premium Web2/Web3 infrastructure. Deploy token economies with actual use case and sustainability. Only on @solana

@EitherwayAI I mean we are here now! 🔥

@CryptosR_Us Eitherway 🔥

CHAT INTERFACES ARE ABSORBING THE BUILDER STACK Eitherway Bot shows where this is headed: ➡️ Prompt in Telegram ➡️ Spin up a monetizable app ➡️ Ship it. This helps slash barriers for blockchain devs and accelerate on-chain adoption across $SOL ecosystems.

Chainlink Adoption Update 🔗 Recently, there were 12 integrations of the Chainlink standard across 8 services and 4 different chains. New integrations include @EitherwayAI, @GMX_IO, @HastraFi, @MidasRWA, @saturn_credit, @sixgroup, and @YeeErc20. LINK everything.

First mover Eitherway telegram agent that helps you build and maintain any product / app with simple prompts from telegram. Build > Launch your product > Tokenize it on their launchpad > Make money solana:HmBdm8vbisABUjkxms6ZUnoaXbfwFM6ymxShWfAENaoi is making it easy for builders to build and make money.