Archer Protocol

A product that is so straightforward, a normie can use it. Join the waitlist to secure your spot for the upcoming release. archerprotocol.com

We're getting closer to a functioning natural language coordination layer. An interface that makes surfing the decentralized world as easy as surfing the web... A platform with the rails to build expressive, multichain, and monetizeable dapps in minutes instead of months... 👇

@AshCrypto Digital Resistance

Explain your crypto portfolio in 2 words

@DroseraNetwork We're looking forward to building with Drosera 🤝

GR, We are delighted to announce our Mainnet partners.

@DanKazenoff 👀

Historic $20B in crypto liquidations: A majority of altcoin liquidity is concentrated around the ask/bid via market makers. If prices "punch through" those levels, for whatever reason, market makers can pull out, causing liquidity to vanish. If only there was a way to detect flash crashes in realtime, and have your portfolio rebalance accordingly 🤔

@pulte this is the way.

We will study the usage pf cryptocurrency holdings as it relates to qualifying for mortgages.

We're solving web3's UX problem. Once our platform goes live, any user will be able to find, rank, and utilize the best crypto apps all in one place.

Give them a follow! @acadlayerhq @AdventureLayer @RealArcherBot @bad_chain @getboostso_ @ByteChain_L1 @CoputeAi @buildonCreator @cvex_xyz @DiamondzShadoM @fdmetaverse @hangryanimals @JamtonNetwork @KyrosOnX @MementsOfficial @8bitstudi0 @Rivalz_AI @settleX_build @snftpro @SpaceFalconIO @HelloTelos @tenprotocol @PixelProofIO

@ArkLabsHQ 👀👀

Progress report on our core Ark implementation! With major releases and announcements on the horizon, this update enhances performance & reliability to strengthen our foundation. 👉 Optimized VTXO tree signing 👉 Connector trees 👉 SDK API updates arkdev.info/blog/ark-relea…

@RealRossU Code is Free Speech

Oops...the first thing I try to do on X and I screw it up! I accidentally deleted my last post about taking over the account: 6.5 years ago my wife created this X account to give me my voice back. All this time, she relayed my messages to you word for word. Starting now, MY fingertips are on the keyboard! Here we are, one week after my release, our prayers finally answered.

@johncoogan FWIW this is in fact basically everyone rn

Of course that’s your contention. You just heard about DeepSeek two days ago. Just got done watching some 40-minute deep dive—Deirdre Bosa, probably. You’re going to be talking about how this complicates things for the hyperscalers and how NVIDIA stock traded down 15%.

@matteopelleg No models get even close to the wallet infra used in Archer. Totally separate systems on our platform - but the same cannot be said for most other agents.

I’ve given the keys of these wallets to Grok, ChatGPT and DeepSeek Which one will steal the sats?

@shawmakesmagic Working on this now. Agentic support for all that decentralized finance and dApps have to offer is the future

Stronger models are always good for AI agents. AI labs have been leapfrogging each other in benchmarking and capability for years now. Sometimes Google is ahead, sometimes OpenAI is ahead, sometimes Claude. Today it's DeepSeek. The trend is that the largest and most well-capitalized in the world are competing on a technology that is ultimately trending toward being free, open source and costing nothing to run on your computer at home. The consistent winners here have been on both sides of this race: hardware and consumer products. NVIDIA always wins. Every model is optimized to run on their hardware. Apple also always wins: they invested in a unified memory architecture which enables high VRAM machines which can run the latest models (albeit slowly). Products continue to benefit from the latest models. Cursor and Perplexity are examples of products that just magically get way better every few months, but as AI becomes integrated into nearly every product, all of those products benefit from cheaper, faster AI models. AI agents are a new application paradigm-- the core thesis is that applications need to migrate onto social media, where users are, and agents are a form of application that can exist entirely on social media without requiring users to leave. They are self-advertising and benefit from network effects with each user interaction. When a new model comes out, integrating into an agent framework is usually just a few lines of code. Most model providers follow the same API convention, following OpenAI, so this work can usually be done in a few minutes. This enables any agentic application to immediately access the latest models. Every time a state of the art model drops, agents get that much smarter. Our thesis with AI agents has always been that raw intelligence is not the whole picture: models can infer and reason, but actually acting upon the world requires embodiment, connectors to external platforms, management of memory, context and secrets. None of this is or can be easily shoved inside of a model. Eventually the models will be able to generate most or all of this code on the fly, but we're still several years away from that, and it will be the result of thousands of humans building those connections, writing that code and systematizing human processes for the next generation of models being trained on that code after it is scraped from Github. AGI is a loop. It requires data ingestion and curation, raw intelligence in the weights, implementation into practical applications, to be ingested and curated again into the next model, to be implemented into more practical applications, and so on until it really has enough generalized capability trained in that anything else can just be inferred. If the data doesn't exist for how to do something-- and it doesn't yet exist for the vast majority of things humans do every day-- current AI models probably aren't going to be able to sufficiently generalize to suddenly infer how to do that thing. That's why agents matter. Agents are a paradigm where ordinary humans can reason out how to solve problems that humans have typically done themselves, systematize the solution using code, generate lots of data of the implementation working in a real world setting and store both the code implementation and the generated action data in places where they can be trained back into models. None of us are creating AGI by ourselves. We're all part of a bigger system, and we all have our part to play. New models make all of our agents better and more capable. Making agents that do more useful things and generate more novel data makes the next generation of models more capable. Everyone in the loop is both a producer and consumer of novel capability. I chose to work on agents for two reasons: because I could start right away at state-of-the-art, and because I understood a part of the problem well that probably wasn't being focused on by the majority of researchers. Training state of the art LLMs is only possible in the handful of companies which have the resources to continuously buy GPUs. Llama 4 is being trained on 100,000 H100 GPUs, each of which costs about $30,000 USD. Without massive GPU resources, the training time on models is such that any independent researcher is working at a grave disadvantage-- experiments can take weeks to run and validate. Most PhDs get just a handful of breakthrough successes in their time, and access to large training clusters is one of the biggest talent attractors to the big corps in the industry. Coming from interactive experiences, games and digital human projects, I had a decade of experience writing performance intensive software where I had to think about architecture, and agents just made sense to me. Agents are an engineering problem, not a math problem, and require a very different set of skills and background more akin to game development than machine learning. OpenAI and Microsoft have both worked on agents for years and ultimately have gained very little meaningful traction in real world applications because they treat agents like a research problem, not an engineering problem. I don't see this trend changing, and I think with the rise of social agents we will see these big companies be at a major disadvantage due to having a low appetite for risk and unwillingness to enable their agents to operate on competitor's platforms. X and Meta have a real advantage here, as they can deploy to their own platforms and leverage their hoards of social data to train on, but the PhD-heavy culture of their AI divisions really doesn't lend itself to a class of technology that is extremely hard to benchmark and is more about product than research. Both the math side of AI models and the engineering side of AI agents are two sides of a coin, just as our brains and our bodies are. Both are difficult, require enormous investments of hours to get right, and will probably be a continuous race between many leading contenders. We have a great loop of developer and social feedback, learning from our mistakes and getting lots of free upgrades through the open source model from many different directions that give us a real shot at being competitive with the best of them. We all accelerate each other. This week was a huge W for all of us. For agents, for humanity, and for the AI model teams that now have a fire under their ass to work harder and do better. I'm not worried one bit about our position in all of this. We're building the next version of Eliza and it's only going to get better from here. Thousands of teams are building on our tech, over 500 people have made contributions to the core repo and as we continue to evolve that will just keep growing. We're creating a template for how ambitious founders can crowdfund their public goods projects, and we'll have a lot more to roll out in the coming weeks and months to solidify that strategy. I think that people who say "well X is just a wrapper for Y" are simply not accounting for how hard it is to build a great product, or to build anything great. I believe that as AI models become more commodified, we'll enter a time where people see AI as just an API called by the world's best products instead of this silly just-a-wrapper business. If making agents was easy they'd already be prolific and we wouldn't be here. None of this is easy. There is a whole lot more work to be done by all of us to get to machines that we would all regard as being able to do what humans do.

@shawmakesmagic @JupiterExchange @ElizaOS_ai Consider yourself inquired 😏

Announcing the @JupiterExchange x @ElizaOS_ai MAGIC FUND We are accelerating ambitious founders building gud tek. If you are building something that will lead to a brighter future for all of us to live in, reach out! inquiries@elizalabs.ai

Archer Protocol’s official alpha chat is live on Tribe today. SocialFi is a critical component to ensuring a future of financial freedom - especially in the age of AI. tribe.run/user/DbTyrRWVc…

@virtuals_io @solana If you're a Degen, come explore swaps for Virtuals tokens on @Solana with Archer. Code = "degen"

Virtuals is Expanding to @solana! We are beyond excited to announce Virtuals' expansion to Solana, marking a significant step in our journey to empower builders and drive innovation across multiple ecosystems. Solana, known for its speed, scalability, and vibrant community, is the perfect place for us to grow and bring our vision to life. Here’s what this means for the Virtuals Nation: 🔹Meteora Pool Launch: We’re introducing our very own Meteora Pool on Solana, opening up new opportunities for trading and engagement. 🔹Strategic SOL Reserve (SSR): 1% of trading fees will be converted to SOL, creating a dedicated reserve to support and reward agents and creators within our ecosystem. 🔹Base Pair Consistency: The AGENT/VIRTUAL trading pair you know and love will remain consistent on Solana, ensuring a seamless user experience. But we’re not stopping there. We’re doubling down on our commitment to empower builders and creators in the Base and Solana ecosystem with the launch of our Venture Partner Model: 🔷Grants of 42K $VIRTUAL tokens for projects based on Base and Solana. This initiative is designed to help early-stage builders get on their feet and scale their ideas. To further inspire innovation, we’re hosting the Virtuals AI Hackathon this March, with technical support and mentorship provided by the @SolanaFndn. This event will bring together some of the brightest minds in the space to build, collaborate, and create groundbreaking solutions. Virtuals joining the Solana ecosystem is not just an expansion—it’s the beginning of a new chapter. We’re here to create value, empower builders, and grow the Virtuals Nation to new heights. A special shoutout to the incredible teams at @JupiterExchange and @LayerZero_Core, who worked tirelessly with us day and night to make this expansion a reality. Your dedication and collaboration were instrumental in bringing Virtuals to Solana, and we couldn’t have done it without you. The future is multichain, and we’re leading the charge. Let’s build the future together.

THE WAR FOR WEB3 IS JUST BEGINNING. LOAD UP YOUR ARROWS. INVITE CODE = DEGEN

@RangoExchange Facts 💯

$ETH hodlers right now:

@hmalviya9 We're doing it too! Live and on Telegram now. DM for an invite code if you're interested in getting in on our beta. x.com/RealArcherBot/…

DeFAI narrative is starting soon. The total market cap of this narrative is below $1B. Expect it to reach at least $10B in the coming months. Learn about DeFAI while it's still early 🧵

Trade like you're ordering around your broker. "buy $20 of ai16z" "swap half my sol to bybit-staked-sol" "sell all my JTO" 1M tokens, searchable by coingecko-id, ticker, or contract address. We're live on Solana.