Meet the people behind the posts.
Crypto and AI, through investigations, research, working products and culture. Get to know the person, open a useful piece of their work and follow the subjects that interest you.
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173 profiles, with original work and projects to explore.
173 people
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Builds open-source learning materials for Solidity and ethers.js, and works on xAPI, an API gateway for AI agents.
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Arguments for public-blockchain ownership of digital objects and for using widely shared art to spread decentralization ideas.
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Posts concise views on the strength of a token narrative and how new launches are promoted, from Asteroid enthusiasm to criticism of recycled stock-market stories.
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Practical ways to plan, inspect and test software made with coding agents, from a small change to a team's development process.
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Explains Maelstrom's investment theses and its interest in crypto infrastructure businesses, venture investments and private-equity buyouts.
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The product and infrastructure thinking behind Replit's move from a coding editor to building software through natural language.
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Original architecture writing on Solana's Proof of History and the coordination of distributed computers. His work explains the engineering problem behind the network's performance-oriented design.
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The creator of Yearn and Keep3r explains collateral, liquidity incentives and the market structure behind his current Flying Tulip project.
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Explains how language models change software development, from his original description of vibe coding to experiments where an agent changes training code and measures the result.
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Interviews and explanatory conversations about zero-knowledge systems and the people building them. Her questions offer a reading route from basic proof vocabulary to research tools and design choices.
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Market theses, Solana and memecoin discussions, with a trading-journal interview and his own creator-project thesis to read first.
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Builds bullish token theses around AI products and app incentives. His KLED article connects data collection, user rewards and token demand for an asset he says he holds.
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Practical demonstrations of building contracts and connecting them to an interface with Scaffold-ETH. His lessons use small applications and deliberately broken examples to make contract behavior visible.
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Explains DeFi products and the practical setup of crypto wallets, using step-by-step posts and concrete examples from new markets.
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Builds contracts, NFT tools and onchain games. His public code includes a LayerZero token walkthrough and a message board that pays the previous writer.
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Modern Memeism: recognizable meme figures rebuilt with geometry, seen in GeoMetric Pepes, Pepedenza and his Opepen contributions.
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Daily digital art, visual satire and studio events that connect internet imagery with a physical audience.
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Dogecoin's origins and network questions, paired with the dry internet humor of Shibetoshi Nakamoto.
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Records token ideas and follows up on project communication, listings and the Chinese-language memecoin narratives he finds interesting.
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Posts brief Chinese- and English-language promotions that pair an Ethereum token address with a story about its name.
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Shares first-person posts about Hyperliquid, permissionless markets and automated trading tools.
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Writes about early NFT projects, the importance of their original timestamps and how historical collecting differs from following new releases.
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Team essays on tokenization, financial infrastructure and the incentives of platforms that host crypto applications.
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Posts the reasoning behind token ideas, moving between the origin of a meme character and the revenue, buyback and liquidity arguments in a launch-platform thesis.
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Explains the design of a coding agent and shares how he uses it in everyday work, including project instructions, reusable commands and ways to verify a change.
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Builds a memecoin persona through cat stories, community slogans and references to the REKT scene.
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Video-led explanations of investment research, market theses and the creator's own process, alongside Kaizen.
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Posts short reactions to LayerZero, ZRO and tokenization news, including the ATLAS presentation to Korea Exchange.
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A founder's perspective on building organizations, custody and decentralization, alongside his current education project.
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Explains how to turn foundation models into applications, with attention to tools, planning, evaluation and the cost of running the system.
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Studies the internal features and circuits of neural networks, connecting visual explanations to experiments on why a particular model produces a particular response.
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Wrote about Eric Hartford's Samantha companion model and announced a community token initiative intended to support its development through trading fees.
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Essays that examine token-launch pricing, uncertainty and the competition for attention in crypto markets.
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Connects memecoin ideas with the culture behind a character, then records trading reminders about the market mood around public profit screenshots.
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Posts token ideas across networks, with contract addresses, declared purchases and the stories behind those trades.
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Governance proposals and commentary on AladdinDAO's products, with a focus on reserve design, liquidity incentives and f(x) Protocol.
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Discusses revenue-producing crypto projects, blockchain data for AI agents and memecoin narratives.
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Shares compact trading notes that connect a token's story to entry timing, holding decisions and mistakes made during a launch.
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Illustrated threads about market capitalization, liquidity and wallet research, with concrete examples you can follow back to the underlying tools and transactions.
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Connects crypto theft to devices, signing workflows and organizational controls, drawing on the work of the security firm he co-founded.
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Research on market mechanisms, adversarial blockchain execution and practical uses of cryptography.
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Research on blockchain data availability, cryptographic commitments and protocol design. His writing separates publishing data from executing transactions, then shows how that distinction affects scaling.
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Pepe-derived art, visual jokes about crypto speculation and his own BOOK OF MEME (BOME) presale announcement.
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Brings stock trading and memecoin commentary into his first-person entertainment feed, including Davey Day Trader.
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Token-valuation arguments built around buybacks, business comparisons and disclosed investment interests.
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Shares notes on BNB Chain's DeFi communities, governance-token campaigns and first-hand experiences around protocol events.
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Writes about memecoin conviction, community takeovers and the changing culture around token launches, with a preference for the Pump.fun ecosystem.
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Team research on token incentives, compensation and airdrop design, with the underlying methods available to read.
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Uses one-line jokes to react to AI-model hype and the rapid arrival of new agent products.
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Posts first-person entries and brief token ideas, including Solana microcaps and SPX.
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Writes blunt, concise reactions to market anxiety and token price reversals.
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Combines compact rules for taking profit with exuberant memecoin calls. Start with his note for small-bankroll traders, then compare the tone of a live market post.
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Documents memecoin trading as a lived activity, from live competitions and travel to the practical concerns that follow a public crypto career.
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Original explanations of blockchain names, permissions and identity, connecting ENS product announcements to the designs published by ENS Labs.
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Explains product-specific evaluations through labeled data, calibrated model judges and repeatable experiments, with an app you can inspect.
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Posts direct opinions about control over digital feeds and debates around private wealth.
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A founder's view of NFT communities, creative decisions and the challenge of building beyond a public persona.
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Created Keras and ARC, and examines how to distinguish learned task performance from the ability to solve unfamiliar problems.
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Uses short jokes and audience polls to talk about the mood around crypto trading.
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Explores coding agents as repeatable systems, from the Ralph loop to a Lisp application that acquires new capabilities through conversation.
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Builds software for running language and speech models on your own hardware. His project documentation connects a model download to a working local program.
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Coauthored work on Foundry and Alloy explains the tools used to test contracts and build Ethereum applications. His project writing connects developer experience to testing, debugging and maintainable interfaces.
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Writes about the crypto tools and communities he joins, from DeFi monitoring to early-access campaigns. His profile identifies him as a co-founder of ProofiumX and Caspaylink.
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Shows how to inspect real application traces, define useful failure criteria and check automated evaluators against domain experts.
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Explains the surrounding software that lets a model take actions: agent loops, durable execution, memory and the context passed between workers.
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Institutional perspectives on digital asset treasuries and blockchain payment infrastructure, with research that maps business models and their assumptions.
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Shares IMG ecosystem updates, community events and the rollout of IMG Living Cards. His current bio identifies him with the project team and operations.
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Comments on crypto market sentiment, Bitcoin and Ethereum flows, alongside long-term financial goals.
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Makes short comic sketches from crypto personalities, market jargon and the collision between corporate announcements and online meme culture.
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Combines crypto-community interests with Thai-language visual storytelling, including a travel series featuring the BIBI character and Binance TH tags.
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Blockchain and AI design, from coauthored machine-learning papers to NEAR's approach to programmable money.
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Art projects that turn familiar internet symbols into questions about verification, ownership and participation.
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Known for Node.js and PHP libraries that connect applications to Binance's APIs; also posts about memecoin and NFT projects.
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Practical research on protecting private keys, planning recovery and testing the physical durability of seed backups.
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Connects structured model outputs and retrieval design to measurable application quality, with practical ways to inspect data and improve search.
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Coauthored research on prompting models to produce intermediate reasoning steps and on testing whether short factual answers are correct.
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Circle's perspective on stablecoins, financial infrastructure and the purpose of Arc.
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Connects document parsing and retrieval to structured workflows that apply business rules and update other systems.
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An inside view of Base's network direction, upgrades and the people building on it.
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Writes about speculation, game economies and crypto incentives; also shares updates on the Papertrade perpetuals exchange.
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Investigates how instructions hidden in webpages, code and tool responses can redirect AI agents, with concrete attack reports and the permissions that made them possible.
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Technical explanations of onchain market structure and Solana infrastructure, including the team's own trading systems and proposed cryptographic upgrades.
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Publishes TRON ecosystem updates and first-person statements about the network's infrastructure, institutional adoption and technical direction.
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Explains indirect prompt injection: an attacker places instructions in material an AI application retrieves, then uses the application’s capabilities to influence its behavior.
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Builds Hyperliquid community resources, writes about his path through the ecosystem and organizes gatherings with the HypurrCollective team.
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Argues for peer-to-peer electronic cash through his support for Monero. His account also links to SquadSwap and the PancakeSquad community.
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Writes about the novelty, language and market attention behind crypto narratives, with examples from Bitcoin Runes and Chinese memecoin culture.
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Builds open-source AI tools for legal work, including cLawyer and a connector for Clio’s practice-management software.
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Posts compact token ideas with contract identifiers, focusing on recognizable characters and names, including Knight Cat on BSC.
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The protocol's own explanations of staking infrastructure, DAO decisions and token economics, with links to the mechanisms behind its announcements.
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Connects reasoning and reinforcement learning methods to their failure modes, including models that improve an evaluator's score without completing the intended task.
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Trades tokens with strong meme lore and writes about keeping a familiar strategy, separating trading capital from winnings and waiting for a concrete catalyst.
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Explains how vulnerability researchers approach smart-contract audits and how to question the metrics used to sell audit competitions.
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Firsthand proposals about rewarding social-network users and turning an NFT collection into a community project.
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Writes about digital art and collecting, interviews artists for NFTCulture and discusses long-term relationships between artists and collectors.
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The project's own explanations of its network architecture and the staking and restaking products in its ecosystem.
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Builds self-hosted agent systems and writes about persistent memory, task coordination and the path from an early experiment to the Sanctum stack.
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Publishes detailed image-generation experiments with prompts, outputs and failed constraints. His articles help turn a visual idea into instructions that can be checked against the resulting image.
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Explains how he interprets watched-wallet activity and distinguishes familiar meme stories from projects whose mechanisms take more work to understand.
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Makes brief jokes about crypto's hunger for a bull run and the everyday awkwardness of AI, including a Grok group-chat punchline.
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Connects AI products with crypto-market narratives, examining agent memory, product economics and the role of a project's token.
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Explains contract failures through code, threat models and the practical decisions made during incident response.
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A public thesis about memecoins, market cycles and the role of committed communities in sustaining attention.
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Nathan Lambert
Post-training researcher; co-founder and executive director of Trillium Labs
@natolambert
Explains how training examples, preference comparisons and verifiable rewards turn a pretrained language model into a more useful assistant.
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Explains how to inspect and intervene on model internals, separating a useful hypothesis about a mechanism from evidence that a causal test supports it.
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Connects meme culture to trading horizons, community activity and bursts of public attention. His trade reviews show how those ideas affect his holding decisions.
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Writes about NFT and Ordinals collecting, personal market discipline and the social side of participating in crypto communities.
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Connects transaction trails with malware analysis, archived exchange data and case documents to explain how a crypto investigation is built.
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Publishes an NSB Meme Journal with new positions, exits and short reflections on spot trading in Solana microcaps.
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Researches reasoning, reinforcement learning and multi-agent systems, with earlier coauthored work on poker search and language-guided negotiation.
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Works on events around Monad and writes short observations about community trust, in-person gatherings and NFT product ideas.
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Builds Luminos, a Solana token scanner, and posts assessments of how memecoin supply is distributed across wallets.
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Writes about how liquidity, narrative simplicity and shared emotions draw attention to new tokens, alongside first-hand notes from onchain trading.
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Writes about onchain memecoin trading, records his decisions in a public journal and comments on the incentives behind token callouts.
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A creator’s perspective on crypto trading as online media: audience formats, public events and the practical work of running finance-focused channels.
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Explains account, password-manager and device security for people and teams that work with crypto.
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Shares brief trading commentary around meme tokens and NFT accumulation by token treasuries.
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Team research on stablecoins, prediction markets and financial infrastructure, with named authors and notes that explain what each chart measures.
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Coauthors research on directing visual generation with an existing image or video. His papers separate the desired appearance from the structure and continuity that an edit should preserve.
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Explanations of rollups, replicated databases and protocol governance. His writing connects the architecture of an L2 to the people and mechanisms that can change its rules.
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Telegram's product perspective and his own statements about TON's history, upgrades and future plans.
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Maintains a reentrancy incident collection and builds tools for checking the transaction data a multisig signer is asked to approve.
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Publishes detailed accounts of building applications with coding agents and the tools that grew out of that work, including OpenClaw and Oracle.
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A solo developer's account of building products with coding agents, remote development machines and interactive previews.
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Shares the process of building RePay Loans and hosts conversations about AI agents, decentralized compute and the infrastructure around them.
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First-person notes on positions, losses and public trade commentary, including the incentives that shape how traders share their calls.
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Questions launchpad hype with blunt market comments and jokes about feature comparisons and asking Claude to build the next version.
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Writes about ecosystem mascots, NFT communities and the relationships between a token’s holder addresses.
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Publishes short Chinese-language memecoin calls, contract addresses and posts about the tools used for onchain trading.
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An archived view of the founder account associated with Tokenize Xchange, whose Singapore operator was required to wind down regulated services in 2025.
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Shares first-hand notes on NFT mints, airdrop participation and the tools he uses to review his onchain activity.
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Writes short observations on crypto products, memecoin narratives and onchain activity, including how network deposits compare with app revenue.
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Writes about his role in BSC meme communities and shares his account of converting Solana donations into help for a family.
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Explains how a small app can connect AI services to a specific user problem, and how to demonstrate the result.
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Connects image-model foundations to research on editing with visual references. His coauthored papers offer a path from latent diffusion to maintaining a subject through successive image changes.
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Exploit analysis and security strategy that connect smart-contract flaws with infrastructure, people and incident response.
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Explains how generative models move from noise to an image and how guidance changes that path. His illustrated essays connect a model control to both stronger conditioning and visible distortions.
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The creator's account of a stick-figure meme becoming mfers, a CC0 art collection built around community-made derivatives.
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Makes model research inspectable through annotated code and training reports, from a Transformer implementation to the training and evaluation of a coding model.
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Explains language models through small implementations, connecting tokens and attention to the code for building, training and adapting a GPT-style model.
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Comments on autonomous driving and the trust people place in consumer-app interfaces.
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Studies how models alternate reasoning with actions, then tests whether tool-using agents complete requests consistently across conversations.
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Turns experiments with coding agents into explanations of what to build, how to inspect the result and how to keep learning from code a model wrote.
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Studies how model behavior develops during training, using public checkpoints and controlled experiments on memorization and capabilities.
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Persistent task tracking and coordination for coding agents that outgrow a single chat session.
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Shares Turkish-language notes on crypto apps, NFT mints and early-access communities, with examples from Abstract and Starknet.
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Explains phishing, device compromise and crypto theft through the messages, permissions and software around a wallet.
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Explains a trading process that combines a token's narrative, holders, technical levels and exit plan, then revisits the decisions in a public trading diary.
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Connects open model research and software to questions about what an AI benchmark measures, with work on model compression and scientific reasoning.
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Researches generating and editing images and video. His coauthored projects expose the difference between following an editing instruction and keeping a scene coherent over time.
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Studies how to fit and adapt large models with less memory. His explanations separate reduced-precision inference from training a small set of additional parameters.
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Trading lessons and market commentary, with free Boot Camp material and the Blueprint education project.
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Writes compact notes on how lending markets, liquid staking and hedging can affect one another.
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Comments on AI products, private inference and the economics of generating model outputs, alongside crypto-market discussion.
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Studies how model algorithms and GPU hardware fit together, with coauthored explanations of faster attention and alternatives to a growing attention cache.
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Connects digital art with onchain AI agents through AGNTSocial, and writes about the interfaces people use to interact with AI.
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Public position theses and market-sentiment commentary from the trader known as Bonk Guy, with a focus on memecoin narratives and conviction trades.
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Protocol and product explanations published by Uniswap Labs, covering AMM design, v4 hooks and infrastructure for onchain trading.
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Research on trusted setup ceremonies, fair data exchange and privacy. Her coauthored papers turn broad promises of trust minimization into specific assumptions about participants and exchanged data.
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A community perspective on research funding, intellectual property and biotech development, with concrete project updates behind its decentralized-science proposals.
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Long-form arguments about Ethereum's design, decentralization and the tradeoffs behind proposed protocol changes.
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Robinhood's company direction and first-hand product statements about markets, tokenization and access.
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Research on transaction infrastructure and market commentary from the firm's OTC trading desk.
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Shares short reactions to trading-app features and possible catalysts for meme tokens.
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Works across pixel art, NFT culture and games, with creative contributions to Aavegotchi and his own onchain-avatar game experiments.
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Coauthor of PLONK and plookup, two research works about constructing and checking cryptographic proofs. His work is a route into the engineering behind programmable privacy.
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Investigations that connect crypto thefts and scams to transaction trails, communications and public records.
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Writes about the idea of running large AI models across distributed consumer GPUs and responds to developer demonstrations of decentralized inference.
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Writes about onchain markets and builds monitoring tools. His Code Vault collects trading scanners, wallet alerts and experiments with AI trading.
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Records the narratives behind his memecoin ideas, then revisits position sizing, missed exits and the decisions that changed a trade.
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Records the pace of trading new tokens on Robinhood Chain and the fatigue that comes with trying to follow a busy market.
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Shares first-person trading notes and the information he acts on, from an equity signal checked with AI to a suspicious collaboration message on X.
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Writes about the demand behind BSC memecoin trades and the sustained screen time, social contacts and effort behind his trading routine.
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