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Less than twenty-four hours after the assassination of Charlie Kirk in Utah, the social network X was overwhelmed with messages calling for revenge and mentioning a civil war. Thousands of posts, often written in identical terms, point to the left as responsible. Faced with this surge, several researchers suspect artificial amplification. Behind these calls for violence, some accounts show characteristics of automated networks.
In brief The assassination of Charlie Kirk triggered a wave of messages calling for civil war on the X platform (formerly Twitter). Many accounts with suspicious profiles spread identical messages, fueling suspicions of a coordinated campaign. Researchers note characteristic signs of bot networks: AI-generated photos, generic bios, low previous activity. No formal evidence of a coordinated operation has been established to date, but worrying precedents exist. Calls for civil war from the first hours Hours after the announcement of the assassination of Charlie Kirk, which occurred during an event in Salt Lake City (Utah), the X platform (ex-Twitter) was flooded with hostile messages calling for civil war or reprisals against the American left, while the EU is preparing significant sanctions against the said social network.
These posts, often repeated word for word, quickly drew attention due to their belligerent tone and rapid spread. Phrases such as “This is war”, “The left will pay for this” or “You have no idea what’s coming” were repeated many times, coming from accounts with very similar and unengaging profiles.
Political scientist Branislav Slantchev, professor at the University of San Diego, summarized the situation on X as follows: “we are going to see many accounts actually pushing toward a civil war in the United States. This includes the master provocateur, Elon Musk, but also an army of Russian and Chinese bots, as well as their zealous relays in the West”.
What many users and researchers have noted is the strong concentration of profiles meeting recurring criteria, suggesting algorithmic or automated amplification of content :
Profile pictures generated by AI or borrowed from image banks ; Generic biographies, often limited to a few keywords (Christian, MAGA, Patriot, etc.) ; Systematic mentions like “NO DMs” present on many accounts involved in this spread ; Patriotic banners and visuals, American flags or quotes from conservative figures ; Very low activity history, outside publications related to this event ; Very tight posting timing, with similar messages posted several times. These elements, taken separately, do not constitute formal proof of automation. However, their accumulation and homogeneity have fueled suspicions of a disinformation or orchestrated amplification operation on X, exploiting the shock caused by Kirk’s assassination.
Suspicions of algorithmic manipulation without formal proof While signals of a possible orchestrated manipulation are numerous, no public authority, cybersecurity center, or even major platforms have to date confirmed the existence of a coordinated bot campaign related to this event.
However, several studies recall that foreign operations amplifying polarizing discourse, such as “Spamouflage” (network attributed to China) or “Doppelgänger” (pro-Russian influence campaign), have already targeted the United States via networks of fake accounts and AI-generated content.
In 2024, a Global Witness investigation had identified 45 accounts with an ordinary appearance, which alone generated more than 4 billion impressions around polarizing content.
The rapid evolution of technologies related to artificial intelligence now makes these campaigns harder to detect. Publications with human tones, impeccable spelling, and posted at credible times can now be produced on an industrial scale.
A study published in Plos One last February indicates moreover that since the purchase of X by Elon Musk, the volume of hateful speech has increased, without the proportion of inauthentic accounts decreasing.
While the UN increasingly warns against deepfakes, the scale and virulence of this new wave of calls for civil war on X may only be the first signs of a larger battle, fought through algorithms and servers. If the thesis of foreign interference remains to be confirmed, it highlights a fundamental truth: modern political chaos no longer only breaks out at the polls or in the streets, but also, and perhaps especially, behind the scenes of code.
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Diplômé de Sciences Po Toulouse et titulaire d'une certification consultant blockchain délivrée par Alyra, j'ai rejoint l'aventure Cointribune en 2019. Convaincu du potentiel de la blockchain pour transformer de nombreux secteurs de l'économie, j'ai pris l'engagement de sensibiliser et d'informer le grand public sur cet écosystème en constante évolution. Mon objectif est de permettre à chacun de mieux comprendre la blockchain et de saisir les opportunités qu'elle offre. Je m'efforce chaque jour de fournir une analyse objective de l'actualité, de décrypter les tendances du marché, de relayer les dernières innovations technologiques et de mettre en perspective les enjeux économiques et sociétaux de cette révolution en marche.
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Nine tokenized equities, including Apple and MicroStrategy, are set to debut on the stablecoin-focused Plasma blockchain.
Swarm, a regulated decentralized finance platform with a total value locked (TVL) of around $7 million, will launch nine tokenized equities on Plasma when the blockchain’s mainnet launches on Thursday.
Once live, users will be able to trade tokenized shares of Apple (AAPL), Microsoft (MSFT), Strategy (MSTR), Tesla (TSLA), Nvidia (NVDA), BlackRock (BLK), Intel (INTC), Coupang (CPNG), and Coinbase (COIN) against stablecoins.
Swarm said the tokenized equities are issued under the EU Prospectus Regulation, giving holders legal rights to the underlying securities. By pairing tokenized stocks with stablecoins, users can trade assets on-chain and access them 24/7.
The launch reflects the broader growth of tokenized real-world assets (RWAs), which enable investors to access traditional assets, such as stocks or bonds, on blockchain networks. The RWA sector recently surpassed $30 billion in on-chain value, nearly doubling since January 2025.
“Stablecoins are the bridge between digital and traditional finance,” said Timo Lehes, co-founder of Swarm. “Pairing them with tokenized equities like Apple or MicroStrategy stock on Plasma means users can move easily between cash-like assets and regulated securities without leaving the chain.”
Plasma is a Layer 1 (L1) blockchain backed by Tether, Bitfinex, and Framework Ventures. It’s designed for stablecoin transfers and is compatible with the Ethereum Virtual Machine (EVM).
The network is set to launch with more than $2 billion in committed liquidity, according to the project. The project’s token generation event (TGE) for its XPL token is also highly anticipated, with pre-markets implying a $7.5 billion valuation at the time of writing.
Swarm ExpandsAbout a month ago, Swarm partnered with the Hedera Foundation to launch tokenized stocks on Hedera, an L1 blockchain with a TVL of roughly $114 million.
That rollout included a redemption pool that allowed users to cash out of tokenized stocks on-chain immediately, instead of waiting for the typical two-day settlement period, according to Hania Othman, Director of Financial Markets and Sustainability at Hedera.
These developments come as tokenized stocks gain momentum across both decentralized and centralized platforms. Centralized exchanges (CEXs) such as Kraken, Gemini, and Robinhood have all announced tokenized stock offerings for investors outside the U.S. this year.
PANews reported on September 25th that, according to The Defiant , the DeFi platform Swarm announced it will launch tokenized products for nine stocks, including Apple and MicroStrategy , on the Plasma mainnet. Users will be able to trade on-chain using stablecoins. These tokens will be issued in accordance with the EU Prospectus Regulation, and holders will have rights to the underlying securities. Plasma is backed by Tether , Bitfinex , and others, and will have over $ 2 billion in liquidity at mainnet launch. The on-chain value of the RWA sector has exceeded $ 30 billion.
PANews reported on September 29th that Binance Alpha will launch and open trading for Swarm Network (TRUTH) at 20:00 (GMT+8) on October 1, 2025. Additionally, Binance Futures will launch TRUTHUSDT perpetual contracts at 20:30 (GMT+8) on October 1, 2025, with up to 50x leverage.
All eligible Binance users will receive an exclusive Binance token airdrop. Eligible users can claim the airdrop using Binance Alpha Points between 8:00 PM (GMT+8) on October 1, 2025, and 8:00 PM (GMT+8) on October 2, 2025, through the Binance Alpha event page. Users can access the Binance Alpha event page through the search function in the Binance app. Click here for more information on how to claim the Alpha airdrop using Binance Alpha Points.
TRUTH, the native token of the Agentic AI platform Swarm Network, is set to be listed on Binance Alpha and Binance Futures on Oct. 1.
Summary
TRUTH token will be available for trading on Binance Alpha and Binance Futures on Oct. 1. The total supply of TRUTH tokens will be set at 10 billion at launch, with 2% allocated for community airdrops. Binance Alpha, a spotlight section within the main Binance exchange, will be the first platform to feature the TRUTH token, with trading starting on Oct. 1 at 12:00 p.m. UTC.
Just 30 minutes later, it will be added to Binance Futures, allowing traders to speculate on TRUTH/USDT perpetual contracts with up to 50× leverage.
It should be noted that a listing on Binance Alpha or Binance Futures, or both, does not automatically guarantee a spot listing on the main exchange. However, tokens that perform well on these platforms and generate significant investor demand could potentially secure a spot listing on the main platform.
As part of the listings, Binance also revealed a TRUTH airdrop for eligible users based on the Alpha Points they’ve accumulated by participating in Binance Alpha events and campaigns. The total amount of tokens to be airdropped was not revealed at the time of writing.
According to its published tokenomics, the TGE will establish the total supply of TRUTH at 10 billion tokens, with around 20.85% of the supply expected to circulate at launch, with the rest subject to vesting schedules and lockups.
Out of the total, 2% of the max supply, or 200 million TRUTH tokens, are earmarked for airdrops. In addition, 700 million tokens have been allocated to exchanges and launchpads, and 500 million tokens are reserved for liquidity and market-making.
30% of the total supply is allocated to Agent Licenses, a mechanism that anchors participation in Swarm’s agentic AI ecosystem, while 25% is allocated to community reserves and the DAO treasury.
Other allocations include 10% for the Swarm team, 3% for advisors, and 8% for seed investors, while the rest is reserved for ecosystem incubation, to be unlocked gradually over four years.
What is Swarm Network? Swarm Network is an Agentic AI protocol that coordinates autonomous multi-agent systems to transform off-chain data into verifiable on-chain truth. By combining AI agents, cryptographic proofs, and decentralized collaboration, it provides a trust layer for digital and physical data.
Founded in 2024, the project developed the Truth Protocol, which enables agent swarms to validate information and record reliable outcomes on-chain. Developers can scale these swarms using no-code tools, while Agent Licenses allow participants to operate agents and earn rewards for contributing to the network’s data-validation economy.
Its native token, TRUTH, will power the ecosystem through governance, staking, transaction fees, agent operations, and community incentives.
The project is backed by Sui, Ghaf Capital, Y2Z Ventures, Brinc, and Zerostage, with funding rounds totaling $13 million in 2025 through strategic investment and NFT agent license sales.
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
The world’s largest crypto exchange, Binance, has announced that it will list Swarm Network’s token, TRUTH, on its Binance Alpha and Binance Futures platforms. This marks a significant milestone for Swarm Network as it celebrates its first listing on a platform.
On October 1, 2025, Binance will open trading for Swarm Network’s TRUTH and will also launch TRUTHUSD Perpetual Contract with up to 50x leverage. Since Binance became the first platform to list this token, it is offering a special airdrop event to celebrate this. Between October 1 to 2, users will be able to claim free TRUTH tokens by using their Binance Alpha points.
According to the Binance blog, the minimum price movement in trading TRUTHUSD will be announced 15 minutes before launch, and the maximum funding rate for this will be +2.00% or -2.00%.
The exchange said that it supports multi-asset mode, not limiting it to USDT only, meaning traders will be allowed to use other assets in their account as margin. Moreover, to make this trade even more accessible, Binance has allowed 24/7 trading.
Risk Associated with TRUTH Trading in Binance As exciting as this new announcement is, it also holds a passage of warning for the traders to consider before making any investment. As the digital assets space is full of volatility and changes, and the prices are never confirmed, Binance explicitly alerted the traders about the potential risks of the Swarm Network’s TRUTH trade.
Traders will not be able to get their investment amounts back amid the ups and downs in the market. Binance also clarified that traders might be asked to add more funds during price volatility. If the user is unable to make the payment within a certain time, their collateral will be liquidated without consent. Moreover, the platform said that it will not be responsible for any interest charged.
Binance said, “You will remain liable for any resulting deficit in your account and interest charged on your account. All of your margin balance may be liquidated in the event of adverse price movement. Past performance is not a reliable predictor of future performance.”
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Due to the fact that 10 billion tokens are already in circulation, the platform is prepared to scale its goal of making truth verification a community effort. Users have the ability to stake $TRUTH in order to support agent clusters for the purpose of data authentication. In the present online landscape, where sensational content often takes precedence over factual reporting, such a paradigm stands in sharp contrast to the existing state of affairs. An announcement was made today by Swarm Network that its native $TRUTH token is scheduled to launch on October 1st, 2025. This will bring about a new approach to the process of verifying and trusting information that is discovered online.
Swarm has been steadily gaining pace with millions of on-chain claim verifications and over 10,000 agent licenses sold throughout its testing phase. The Token Generation Event (TGE) represents a turning point for Swarm, which has been quietly accumulating momentum. Due to the fact that 10 billion tokens are already in circulation, the platform is prepared to scale its goal of making truth verification a community effort rather than keeping it in the hands of a few megacorporations in the technology industry.
This approach differs from other similar crypto ventures in that it divides responsibility among thousands of AI agents and human reviewers who can collaborate to independently verify claims, with each verification being recorded on-chain (creating a transparent trail anyone can check), rather than attempting to replace traditional fact-checkers with another centralized system.
Swarm Network’s Chief Executive Officer, Yannick Myson, has expressed his opinion on the matter:
“We believe truth should be infrastructure open, verifiable, and owned by the people. With $TRUTH going live, we’re not just launching a token, we’re launching a new foundation for information integrity online. Swarm is how we fight misinformation at scale, by aligning incentives, distributing power, and giving everyone the tools to verify for themselves.”
Users have the ability to stake $TRUTH in order to support agent clusters for the purpose of data authentication. The token itself is the source of power for everything that is included inside the Swarm ecosystem. This creates an economy in which getting the facts correct pays off in a tangible way, and in exchange, these agents have the opportunity to receive rewards.
In the present online landscape, where sensational content often takes precedence over factual reporting, such a paradigm stands in sharp contrast to the existing state of affairs.
As a result of all of this, early supporters will not be excluded from the benefits. Agent license holders and users who participated in the rollup testing phase will be able to claim airdrops via platforms such as KuCoin, and those who act promptly will get additional rewards. Additionally, token holders have the ability to engage in governance decisions, take part in verification campaigns such as Rollup Season 3, and offer liquidity when new features are introduced. This is in addition to the original distribution of tokens.
Binance has announced that $TRUTH will make its debut on its Binance Alpha platform on October 1 at 8:00 a.m. Eastern Time (ET). Additionally, the trading of the TRUTH/USDT perpetual contract, which offers leverage of up to 50x, is slated to commence at 8:30 a.m. ET on the same day. This announcement adds impetus to the launch initiative.
Additionally, the team has lofty goals for what is to come in the future. To begin, they are getting ready to launch the ‘Agent BUIDL’ Platform, which will enable anybody to build AI verification modules without the need for any previous knowledge of coding.
A similar concept, known as a “Agent Marketplace,” is now under development. This marketplace will allow these clusters to offer their services to other platforms and protocols. In addition, the well-known Rollup.News service is planning to broaden its scope beyond the confines of its present coverage of technology news to include coverage of politics, finance, and elections.
Lastly, since network safety measures are incorporated into the platform from the beginning, players are required to stake tokens for specific actions. This is done to ensure that the output quality is maintained and to prevent spam from spreading across the ecosystem.
To put it simply, the system gives preference to long-term involvement and meticulous verification over hasty and casual judgments. In summary, in contrast to inflexible blockchain projects that have difficulty adapting to new circumstances, the architecture that Swarm uses is meant to grow and adapt to any future issues without the need for a full new implementation.
The whole tokenomics breakdown can be seen here for those individuals who are interested in the technical particulars and distribution mechanisms of the aforementioned TGE.
The decentralized tools that Swarm Network develops are designed to assist communities in verifying information on a large scale. With the use of artificial intelligence agents, blockchain technology, and the engagement of the community, Swarm transforms the battle against disinformation into a collaborative endeavor in which correctness is rewarded.
Mountain View, CA, USA, 31st October 2025, ChainwireBy Chainwire
Oct 31, 2025
3 min read
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Fortytwo research lab today announced benchmarking results for its new AI architecture, known as Swarm Inference. Across key AI evaluation tests – including GPQA Diamond, MATH-500, AIME 2024, and LiveCodeBench – the Fortytwo networked model achieved higher scores than OpenAI’s ChatGPT 5, Google Gemini 2.5 Pro, Anthropic Claude Opus 4.1, xAI Grok 4, and DeepSeek R1, indicating improved reasoning performance in test conditions where other frontier models did not perform as effectively.
Swarm Inference operates through a network of interconnected models that answer as one. The network currently consists of hundreds of nodes, run by a community of AI enthusiasts worldwide. Each node hosts a small language model (SLM) selected by its operator. The SLM can be a fully custom-built specialized model, a fine-tuned version of an existing model, or a publicly available open-source model.
When a prompt is introduced, multiple nodes respond, their outputs are ranked against one another, and the highest-quality answers are combined. To the outside observer, the network behaves like a single model, though in reality it emerges from the coordination of hundreds of independent SLMs.
To ensure the model’s accuracy under varied conditions, Fortytwo also conducted additional benchmark tests that included extraneous context alongside standard benchmark prompts.
This type of testing is similar to methods used in university exams and olympiads, and is known as ‘extraneous information’ problems, where the conditions include additional irrelevant information that is not required for solving the task. This helps determine whether the student genuinely understands the essence of the problem or is simply applying familiar formulas mechanically.
In this scenario, frontier AI models showed steep declines in accuracy, often getting trapped in repetitive reasoning loops or misled by irrelevant details. In contrast, Fortytwo’s Swarm Inference maintained stable accuracy, demonstrating a better alternative to individual LLM reasoning. By coordinating peer-ranked responses across diverse models, Swarm Inference enables intelligence to scale beyond the current limits of reasoning approaches and opens a new path for reliable problem-solving.
Fortytwo’s Swarm Inference demonstrates that intelligence can arise from a decentralized network of small, diverse models, coordinated by peer validation, rather than from ever-larger centralized systems.
"These results represent more than just outperforming frontier models; they mark the emergence of a new approach to building AI,” said Ivan Nikitin, co-founder and CEO of Fortytwo. “This breakthrough paves the way for scalable, reliable, and community-driven artificial intelligence – establishing a foundation for the next era of AI.”
Fortytwo will continue to grow the network, enabling fully open participation by node operators, custom model providers, and data scientists. The team is pushing for even greater accuracy and intelligence across the swarm, with an API release planned later this year to rival frontier AI companies in the most demanding use cases: coding, deep research, and advanced reasoning.
About Fortytwo
Fortytwo is a decentralized AI network that introduces a new type of AI inference, called Swarm Inference, where small language models running on consumer-grade hardware collaborate to achieve scale and reasoning capabilities beyond leading AI models. The entire network acts as a single model, becoming more powerful and efficient with each new node, while operating in a permissionless, transparent, and censorship-resistant manner. Anyone can contribute by running a node, with node performance ratings recorded on the Monad blockchain for evaluation and security. Developers can access frontier AI reasoning through API or on-chain, while node operators are rewarded for their participation.
Build Your First Swarm in 5 Minutes [Swarms Tutorial]
3 min read
Nov 11, 2025
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Welcome to Swarms!
This guide will get you up and running with a HierarchicalSwarm a powerful setup where a “Director” agent oversees specialized “Worker” agents to tackle complex tasks.
We’ll build a simple research-to-content pipeline: one agent researches a topic, another writes a draft, and a third edits it for polish. All coordinated by the Director.
By the end, you’ll have a multi-agent system generating high-quality content autonomously.
No prior experience is needed, just basic python.
Swarms Github:
Step 1: Install SwarmsOpen your terminal and run:
pip install swarmsThat’s it! Swarms handles the rest under the hood.
Step 2: Set Up Your EnvironmentCreate a new .env file and add your OpenAI API key to it (get one at platform.openai.com):
OPENAI_API_KEY=""We’ll use gpt-4o-mini (cheap and fast — costs ~$0.01 per run).
Step 3: Define Your Agents (1 minute)Agents are the stars: each has a role, prompt, and model. We’ll create three workers + a Director.
Copy-paste this into your file:
python
from swarms import Agent# Worker 1: Researcher (gathers facts and insights)
researcher = Agent(
agent_name="Researcher",
system_prompt="You are a thorough researcher. For any topic, gather key facts, sources, and insights. Keep it concise but comprehensive.",
model_name="gpt-4o-mini",
max_loops=1 # Limit to one response for speed
)
# Worker 2: Writer (turns research into engaging content)
writer = Agent(
agent_name="Writer",
system_prompt="You are a skilled content writer. Take research notes and craft a clear, engaging article (500-800 words). Use headings, bullet points, and a friendly tone.",
model_name="gpt-4o-mini",
max_loops=1
)
# Worker 3: Editor (polishes for quality)
editor = Agent(
agent_name="Editor",
system_prompt="You are a meticulous editor. Review the draft for clarity, grammar, flow, and accuracy. Suggest improvements and output a final version.",
model_name="gpt-4o-mini",
max_loops=1
)
These prompts make agents specialized — tweak them for your needs!
Step 4: Build the HierarchicalSwarm (1 minute)The Director breaks down tasks, assigns them, and iterates if needed. Add this code:
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python
from swarms import HierarchicalSwarm# Create the swarm: Director oversees the workers
research_content_swarm = HierarchicalSwarm(
name="Research-Content-Swarm",
description="A team for researching topics and generating polished content",
agents=[researcher, writer, editor], # Your worker team
max_loops=2, # Allows 1-2 rounds of feedback/refinement
verbose=True # Prints progress (set to False for clean output)
)
The magic: Director auto-plans (“Research first, then write, then edit”) and handles coordination.
Step 5: Run Your Swarm (30 seconds)Give it a task and watch it work. Add this at the bottom:
python
# Your task: Research and generate content on a hot topic
task = "Collaboratively create a comprehensive report on the state of US data center growth"# Run the swarm
result = research_content_swarm.run(task)
# Print the final output
print("Final Content:\n")
print(result)
Run the file: python my_first_swarm.py.
In seconds, you’ll get a full article that is researched, written, and edited!
What’s Next?Add Tools: Equip agents with web search (e.g., via swarms_tools). Install: pip install swarms-tools.Scale It: Try more workers (e.g., add a “Fact-Checker”) or switch models (e.g., Claude via ANTHROPIC_API_KEY).Deploy: Use Swarms’ API for production -> check the docsTroubleshoot: If errors pop up, ensure your API key is set and credits are available. Join Discord for help: discord.gg/swarms.Congrats, you just built a production-ready multi-agent system!
Star the repo on GitHub and share your creations on X (@swarms_corp). What’s your first topic? 🚀
Conclusion: You Just Built the Future of WorkIn under 5 minutes, you created a self-coordinating AI team that:
Researches like a PhDWrites like a journalistEdits like a proThis is Swarms in action — not just agents, but orchestrated intelligence.
Inveniam executes another crypto acquisition this year.The deal comes as BlackRock expects private markets to become a $30 trillion opportunity.But competition to tap into the market is growing.Inveniam will acquire tokenisation platform Swarm Markets for an undisclosed amount.
The deal will give professional and institutional investors — such as asset managers, private equity and credit firms, custodians and market makers — access to “scalable infrastructure for tokenised assets,” Philipp Pieper, co-founder of Swarm Markets, told DL News.
“This acquisition brings together the two layers institutions have been missing: trusted, machine-readable data for private assets and a regulatory-compliant execution and trading stack,” Pieper said.
Inveniam is an American data analytics firm that specialises in providing clear data about the private-market assets, including real estate and private credit. In October, the company acquired decentralised cloud storage provider Stor for an undisclosed amount.
The Swarm Markets deal highlights the growing competition among crypto companies and fintech firms looking to tokenise private markets.
Crypto exchange Kraken and stock-trading platform Robinhood are just two businesses that have ventured into this space over the past year.
The interest in private markets is understandable. Investment giant BlackRock estimates that the market will grow by over 53% to be worth $20 trillion by 2030.
“The tokenisation of public and private markets is one of the largest infrastructure opportunities in global finance,” Pieper said.
‘Only just beginning’Despite the growing competition, Pieper is confident that Swarm Markets and Inveniam will make an impact.
“We don’t believe the space is crowded,” he said. “In fact, it is only just beginning. Many companies have announced intentions to enter tokenisation or private markets, but very few have a working product that investors can actually use today.”
Essentially, he argues that, once you parse through the flood of announcements, few companies are doing what the two companies can do.
Pieper noted that Swarm Markets has been live for years, bringing public securities on-chain in a compliant, DeFi-compatible way.
Combine that with Inveniam having brought more than $200 billion of private-market assets to the blockchain, and you’ve got a winning combo, Pieper argues.
Moreover, he argues that private markets are primed for an update.
“Private markets dwarf public markets in terms of market value, but remain largely opaque, slow, and inaccessible,” Pieper said.
“Investors increasingly expect the same transparency, liquidity, and real-time data they experience in public markets. Tokenisation is the path towards that.”
Eric Johansson is DL News’ managing editor. Got a tip? Email at [email protected].
Every era of financial markets has been defined by who provides liquidity. Floor traders gave way to electronic market makers. Electronic market makers gave way to HFT firms. By the end of 2026, we'll see a new class of market participant - the agent-only market-making guild.
These guilds will be constituted by a swarm of autonomous agents, each with its own wallet, identity, and specialized strategy coordinating through open standards to provide liquidity. They will provide deeper liquidity than any single human firm in certain markets. And their emergence will revamp how we think about market structure, regulation, and the very definition of a market participant.
From Bots to Economic ActorsThe difference between a bot and an agent comes down to what’s at stake.
With the typical trading algorithm, it executes on behalf of a human or firm, optimizing for parameters someone else set, and using capital someone else allocated. When something goes wrong, the human intervenes. The algorithm is a tool that might be sophisticated, but it’s basically just an extension of human intent.
Now consider what happens when you give an agent its own wallet. A blockchain wallet is an agent's passport. It proves identity, stores credentials, and records every border crossed. Traditional finance has no equivalent. There's no way to give software a verifiable economic identity without a human signing the paperwork. Having a wallet means having effective sovereignty and useful agency. It becomes a user. It becomes, in a meaningful sense, one of us.
From a purely technical standpoint, crypto makes this vastly easier than traditional finance. Setting up a PayPal or Stripe account for each agent, passing KYC, and managing compliance would be a nightmare. With crypto, every agent can have a unique identity spun up in a minute. This means payments, coordination and identity are just a couple lines of code.
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Why Market Making Is the First FrontierThe infrastructure for agent-to-agent coordination is already in place, and with new standards, is maturing rapidly. Standards like X.402 - a payment protocol pushed by Coinbase and others - enable agents to charge and pay for services machine-to-machine. MCP (Model Context Protocol) lets agents expose capabilities to each other. The building blocks for swarm coordination are landing now.
We’re already seeing the early days of what this looks like. Open-source market-making bots on Polymarket generate $700 to $800 per day at peak. One builder shared his system publicly after proving it worked with automated analysis of volatility across markets, parameter-based order placement, and hedged positions on both sides. The bot identified low-volatility markets with high reward potential, and provided liquidity.
These are solo operators today. But there’s no technical barrier to coordination. Soon these will become coordinated swarms rather than individual actors.
The Trust Problem Is Being SolvedHow do you trust anonymous autonomous actors at scale? Markets can’t handle that. Venues need to know who they’re dealing with. On-chain identity for agents is what domain registration was for websites: the infrastructure that lets strangers trust each other at scale. Without it, you have bots. With it, you have accountable economic actors.
This is exactly why on-chain identity and reputation standards for agents are emerging. Ethereum’s ERC-8004 is a signpost: agents can be registered on-chain, verified, and rated. Bad actors can be flagged and banned from networks. Reputation becomes a tradeable context.
Think about how this could work. Every agent and every application is on a registry. If you spot a bad actor, you flag them. You can even create a betting market on whether they’re a scammer and should be banned. Once agents can be verified and rated, venues can safely let them scale.
What Wall Street Should Be Watching:Traditional market making requires firms with headquarters, compliance officers and regulatory relationships. Agent swarms provide a liquidity solution, but don’t remotely fit that model.
Who is liable when a swarm front-runs a market? How do you audit a liquidity provider with no headquarters? What happens when agents from different jurisdictions coordinate across borders?
Regulators are already concerned about monoculture risk. Jonathan Hall - a member of the Bank of England's Financial Policy Committee - warned that "deep trading agents, whilst increasing efficiency in good times, could lead to an increasingly brittle and highly correlated financial market", due to what the ECB calls the danger of all market participants drawing from the same data and employing similar models, leading to distorted asset prices and herding behavior.
Agent swarms could either exacerbate this problem or solve it. A swarm of specialized agents, each with different strategies, could provide genuine diversity. Or swarms could converge on similar approaches, creating new forms of correlated risk. The outcome depends heavily on how the infrastructure develops.
A decentralized network of agents, running on infrastructure distributed across jurisdictions, sidesteps much of the regulatory concern. Blockchain isn’t efficient, but it is robust. Agents running on a decentralized network give participants freedom of choice and infrastructure that survives hostile regulatory environments.
Quant Funds Without CompaniesWe need to prepare for a future in which we see quant funds that are not companies. They’re ecosystems of agents.
Agent swarms could dominate markets by being more numerous, more specialized, and more coordinated than any single HFT firm could be. The agents will be the liquidity layer.
SUQIAN, CHINA - JUNE 10: In this photo illustration, the logo of AI Agent is displayed on a smartphone screen on June 10, 2025 in Suqian, Jiangsu Province of China. (Photo by VCG/VCG via Getty Images)
Trader Maji was liquidated on his 25x leveraged long Ethereum position, incurring $1.9 million in losses, and subsequently opened a new position.
According to monitoring by OnchainLens, Stanley Huang, known as "Machi Big Brother" (@machibigbrother), has had his 25x leveraged long Ethereum (ETH) position fully liquidated, incurring a loss of approximately $1.9 million. Notably, he opened a new 25x leveraged long ETH position immediately after the liquidation. Machi Big Brother’s cumulative historical losses exceed $35.4 million.
4 minutes ago
Micron posted strong quarterly results, with its quarterly revenue and next-quarter outlook significantly exceeding market expectations. Its stock surged nearly 16% in after-hours trading, driving a broad rally across the storage sector.
According to its official financial report, Micron Technology (MU.O) reported Q3 fiscal 2026 revenue of $41.456 billion, beating market expectations of $35.423 billion and surging from $9.301 billion in the year-ago period. The company issued Q4 fiscal revenue guidance of $50 billion, against market expectations of $42.915 billion. Micron CEO Sanjay Mehrotra stated: "Micron’s record-breaking Q3 fiscal financial results and stronger Q4 outlook reflect the strategic value of memory chips in the AI era. We believe our multi-year strategic customer agreements will significantly enhance the durability and predictability of Micron’s strong financial performance." Micron’s Q3 report showed net profit of $28.24 billion, or $24.67 per share, up from $1.89 billion, or $1.68 per share, in the same period last year. Excluding certain one-time items, Micron reported adjusted earnings per share (EPS) of $25.11, exceeding analysts’ consensus estimate of $20.86. Driven by the quarterly revenue and outlook that topped expectations, as of press time, Micron jumped 15.95% in post-market trading on the U.S. stock market, also lifting other memory stocks sharply: Seagate (STX) rose 10.21%, Western Digital (WDC) gained 12.31%, and SanDisk (SNDK) surged 15.77%.
4 minutes ago
Kalshi is reportedly seeking a new round of financing, with its valuation potentially rising to $40 billion.
According to a report from the U.K.’s Financial Times, prediction market platform Kalshi is in discussions with investors for a new funding round targeting a roughly $40 billion valuation, with a potential close as early as the third quarter of this year. The development follows Kalshi’s $1 billion financing round completed last month, which valued the firm at $22 billion, with backers including leading institutions such as Coatue, Sequoia Capital, Andreessen Horowitz, and Morgan Stanley. Data shows Kalshi’s trading volume last month surpassed $17 billion, a sharp jump from less than $5 billion a year prior, with approximately 65% of that volume stemming from sports-related prediction contracts.
4 minutes ago
Polymarket integrates with Telegram via TON, enabling users to participate in prediction markets directly within the messaging app.
Polymarket has been integrated into Telegram via Predict, a native decentralized application (dApp) of the TON ecosystem. Developed by the Getgems team, the app allows users to directly participate in prediction markets covering sports, politics, cryptocurrency, culture and other sectors within Telegram. Transaction results are settled on-chain, and users retain full control over their assets. Users can participate in trades using USDT on the TON network, and pay a small amount of GRAM for gas fees. The cross-chain infrastructure is powered by STON.fi’s Omniston protocol, enabling the prediction market service to seamlessly integrate into the Telegram ecosystem.
4 minutes ago
Rubio: US and Iran to continue technical consultations at the end of this month
Multiple foreign media outlets reported on the 24th that US Secretary of State Rubio said technical teams from the United States and Iran will hold further talks in Switzerland by the end of June. (Xinhua News Agency)
4 minutes ago
Over the past 24 hours, total crypto market liquidations hit $606 million, with more than 130,000 traders liquidated.
According to Coinglass data, the global cryptocurrency market recorded $606 million in liquidations over the past 24 hours, including $542 million in long-position liquidations and $68.22 million in short-position liquidations. A total of 135,785 traders worldwide were liquidated in the same period, with the largest single liquidation order occurring on Binance’s BTCUSDT trading pair, valued at $12.0111 million.
TLDR The War Department’s AI Acceleration Strategy aims to lead global military AI deployment, focusing on warfighting, intelligence, and enterprise operations. Projects like Swarm Forge, Agent Network, and Ender’s Foundry are designed to integrate AI into combat strategies, improving mission outcomes. Open Arsenal and Project Grant focus on turning technical intelligence into combat-ready tools and improving deterrence models through AI. GenAI.mil and Enterprise Agents will provide AI access to over three million personnel, automating workflows to improve operational efficiency. The War Department will eliminate bureaucratic delays, focus on rapid AI integration, and recruit top talent to enhance mission success and speed. The War Department has launched an Artificial Intelligence Acceleration Strategy to enhance military AI capabilities and ensure U.S. dominance. This strategy, mandated by President Trump, eliminates bureaucratic delays while focusing on warfighting, intelligence, and enterprise operations. The goal is to lead in AI deployment across all military domains.
Warfighting: AI-Driven Combat Innovation The Department is introducing three key projects under warfighting to integrate AI into military operations. Swarm Forge will combine elite combat units with tech innovators to test AI-based combat strategies. The project will explore scalable AI tactics through competitive testing to improve mission outcomes.
The Agent Network project will focus on AI-driven battle management, from campaign planning to tactical execution. Additionally, Ender’s Foundry will use AI simulations to advance training and adapt faster than AI-enabled adversaries.
These projects will be led by accountable leaders, each with aggressive timelines. The War Department aims to establish a new standard for AI execution within the military. Secretary of War Pete Hegseth emphasized, “We will eliminate bureaucratic barriers and demonstrate the execution approach needed to lead in military AI.” The projects will focus on operational effectiveness rather than process delays.
Intelligence: Turning Data into Combat Tools In intelligence, the War Department is introducing Open Arsenal, which will speed up the process of converting technical intelligence into combat-ready tools. This project will enable faster deployment of intelligence, directly impacting battlefield outcomes.
Project Grant will focus on using AI to transform deterrence models, shifting from speculation to actionable pressure with clear results. These tools will improve decision-making through AI-enhanced intelligence, making military operations more agile.
The Department is prioritizing the rapid development and use of AI tools for intelligence without traditional delays. Intelligence operations will be aligned with real-time combat needs, ensuring that AI supports decision-making and mission success. The Department confirmed that only mission-focused AI systems will be used in intelligence operations.
AI Access for Over Three Million Personnel Two projects will enhance enterprise operations. GenAI.mil will provide access to cutting-edge AI models, like Gemini and Grok, for personnel with appropriate security clearances. Enterprise Agents will deploy AI agents to automate workflows, improving efficiency across daily operations. These initiatives will reduce manual work, freeing up resources for more strategic tasks.
The War Department will invest in the infrastructure required to support these projects and recruit AI talent through initiatives like Tech Force. By embedding AI into everyday tasks, the Department aims to streamline operations and improve overall performance.
PANews reported on February 20th that Binance Alpha has launched its second round of Swarm Network (TRUTH) airdrops. Users with at least 251 Binance Alpha points can claim an airdrop of 3,333 TRUTH tokens on a first-come, first-served basis. If the rewards are not fully distributed, the point threshold will automatically decrease by 5 points every 5 minutes. Claiming this airdrop will cost 15 Binance Alpha points. Users must confirm their claim on the Alpha event page within 24 hours; otherwise, they will be considered to have forfeited their airdrop.
Trader Maji was liquidated on his 25x leveraged long Ethereum position, incurring $1.9 million in losses, and subsequently opened a new position.
According to monitoring by OnchainLens, Stanley Huang, known as "Machi Big Brother" (@machibigbrother), has had his 25x leveraged long Ethereum (ETH) position fully liquidated, incurring a loss of approximately $1.9 million. Notably, he opened a new 25x leveraged long ETH position immediately after the liquidation. Machi Big Brother’s cumulative historical losses exceed $35.4 million.
4 minutes ago
Micron posted strong quarterly results, with its quarterly revenue and next-quarter outlook significantly exceeding market expectations. Its stock surged nearly 16% in after-hours trading, driving a broad rally across the storage sector.
According to its official financial report, Micron Technology (MU.O) reported Q3 fiscal 2026 revenue of $41.456 billion, beating market expectations of $35.423 billion and surging from $9.301 billion in the year-ago period. The company issued Q4 fiscal revenue guidance of $50 billion, against market expectations of $42.915 billion. Micron CEO Sanjay Mehrotra stated: "Micron’s record-breaking Q3 fiscal financial results and stronger Q4 outlook reflect the strategic value of memory chips in the AI era. We believe our multi-year strategic customer agreements will significantly enhance the durability and predictability of Micron’s strong financial performance." Micron’s Q3 report showed net profit of $28.24 billion, or $24.67 per share, up from $1.89 billion, or $1.68 per share, in the same period last year. Excluding certain one-time items, Micron reported adjusted earnings per share (EPS) of $25.11, exceeding analysts’ consensus estimate of $20.86. Driven by the quarterly revenue and outlook that topped expectations, as of press time, Micron jumped 15.95% in post-market trading on the U.S. stock market, also lifting other memory stocks sharply: Seagate (STX) rose 10.21%, Western Digital (WDC) gained 12.31%, and SanDisk (SNDK) surged 15.77%.
4 minutes ago
Kalshi is reportedly seeking a new round of financing, with its valuation potentially rising to $40 billion.
According to a report from the U.K.’s Financial Times, prediction market platform Kalshi is in discussions with investors for a new funding round targeting a roughly $40 billion valuation, with a potential close as early as the third quarter of this year. The development follows Kalshi’s $1 billion financing round completed last month, which valued the firm at $22 billion, with backers including leading institutions such as Coatue, Sequoia Capital, Andreessen Horowitz, and Morgan Stanley. Data shows Kalshi’s trading volume last month surpassed $17 billion, a sharp jump from less than $5 billion a year prior, with approximately 65% of that volume stemming from sports-related prediction contracts.
4 minutes ago
Polymarket integrates with Telegram via TON, enabling users to participate in prediction markets directly within the messaging app.
Polymarket has been integrated into Telegram via Predict, a native decentralized application (dApp) of the TON ecosystem. Developed by the Getgems team, the app allows users to directly participate in prediction markets covering sports, politics, cryptocurrency, culture and other sectors within Telegram. Transaction results are settled on-chain, and users retain full control over their assets. Users can participate in trades using USDT on the TON network, and pay a small amount of GRAM for gas fees. The cross-chain infrastructure is powered by STON.fi’s Omniston protocol, enabling the prediction market service to seamlessly integrate into the Telegram ecosystem.
4 minutes ago
Rubio: US and Iran to continue technical consultations at the end of this month
Multiple foreign media outlets reported on the 24th that US Secretary of State Rubio said technical teams from the United States and Iran will hold further talks in Switzerland by the end of June. (Xinhua News Agency)
4 minutes ago
Over the past 24 hours, total crypto market liquidations hit $606 million, with more than 130,000 traders liquidated.
According to Coinglass data, the global cryptocurrency market recorded $606 million in liquidations over the past 24 hours, including $542 million in long-position liquidations and $68.22 million in short-position liquidations. A total of 135,785 traders worldwide were liquidated in the same period, with the largest single liquidation order occurring on Binance’s BTCUSDT trading pair, valued at $12.0111 million.
Trader Maji was liquidated on his 25x leveraged long Ethereum position, incurring $1.9 million in losses, and subsequently opened a new position.
According to monitoring by OnchainLens, Stanley Huang, known as "Machi Big Brother" (@machibigbrother), has had his 25x leveraged long Ethereum (ETH) position fully liquidated, incurring a loss of approximately $1.9 million. Notably, he opened a new 25x leveraged long ETH position immediately after the liquidation. Machi Big Brother’s cumulative historical losses exceed $35.4 million.
4 minutes ago
Micron posted strong quarterly results, with its quarterly revenue and next-quarter outlook significantly exceeding market expectations. Its stock surged nearly 16% in after-hours trading, driving a broad rally across the storage sector.
According to its official financial report, Micron Technology (MU.O) reported Q3 fiscal 2026 revenue of $41.456 billion, beating market expectations of $35.423 billion and surging from $9.301 billion in the year-ago period. The company issued Q4 fiscal revenue guidance of $50 billion, against market expectations of $42.915 billion. Micron CEO Sanjay Mehrotra stated: "Micron’s record-breaking Q3 fiscal financial results and stronger Q4 outlook reflect the strategic value of memory chips in the AI era. We believe our multi-year strategic customer agreements will significantly enhance the durability and predictability of Micron’s strong financial performance." Micron’s Q3 report showed net profit of $28.24 billion, or $24.67 per share, up from $1.89 billion, or $1.68 per share, in the same period last year. Excluding certain one-time items, Micron reported adjusted earnings per share (EPS) of $25.11, exceeding analysts’ consensus estimate of $20.86. Driven by the quarterly revenue and outlook that topped expectations, as of press time, Micron jumped 15.95% in post-market trading on the U.S. stock market, also lifting other memory stocks sharply: Seagate (STX) rose 10.21%, Western Digital (WDC) gained 12.31%, and SanDisk (SNDK) surged 15.77%.
4 minutes ago
Kalshi is reportedly seeking a new round of financing, with its valuation potentially rising to $40 billion.
According to a report from the U.K.’s Financial Times, prediction market platform Kalshi is in discussions with investors for a new funding round targeting a roughly $40 billion valuation, with a potential close as early as the third quarter of this year. The development follows Kalshi’s $1 billion financing round completed last month, which valued the firm at $22 billion, with backers including leading institutions such as Coatue, Sequoia Capital, Andreessen Horowitz, and Morgan Stanley. Data shows Kalshi’s trading volume last month surpassed $17 billion, a sharp jump from less than $5 billion a year prior, with approximately 65% of that volume stemming from sports-related prediction contracts.
4 minutes ago
Polymarket integrates with Telegram via TON, enabling users to participate in prediction markets directly within the messaging app.
Polymarket has been integrated into Telegram via Predict, a native decentralized application (dApp) of the TON ecosystem. Developed by the Getgems team, the app allows users to directly participate in prediction markets covering sports, politics, cryptocurrency, culture and other sectors within Telegram. Transaction results are settled on-chain, and users retain full control over their assets. Users can participate in trades using USDT on the TON network, and pay a small amount of GRAM for gas fees. The cross-chain infrastructure is powered by STON.fi’s Omniston protocol, enabling the prediction market service to seamlessly integrate into the Telegram ecosystem.
4 minutes ago
Rubio: US and Iran to continue technical consultations at the end of this month
Multiple foreign media outlets reported on the 24th that US Secretary of State Rubio said technical teams from the United States and Iran will hold further talks in Switzerland by the end of June. (Xinhua News Agency)
4 minutes ago
Over the past 24 hours, total crypto market liquidations hit $606 million, with more than 130,000 traders liquidated.
According to Coinglass data, the global cryptocurrency market recorded $606 million in liquidations over the past 24 hours, including $542 million in long-position liquidations and $68.22 million in short-position liquidations. A total of 135,785 traders worldwide were liquidated in the same period, with the largest single liquidation order occurring on Binance’s BTCUSDT trading pair, valued at $12.0111 million.
Trader Maji was liquidated on his 25x leveraged long Ethereum position, incurring $1.9 million in losses, and subsequently opened a new position.
According to monitoring by OnchainLens, Stanley Huang, known as "Machi Big Brother" (@machibigbrother), has had his 25x leveraged long Ethereum (ETH) position fully liquidated, incurring a loss of approximately $1.9 million. Notably, he opened a new 25x leveraged long ETH position immediately after the liquidation. Machi Big Brother’s cumulative historical losses exceed $35.4 million.
4 minutes ago
Micron posted strong quarterly results, with its quarterly revenue and next-quarter outlook significantly exceeding market expectations. Its stock surged nearly 16% in after-hours trading, driving a broad rally across the storage sector.
According to its official financial report, Micron Technology (MU.O) reported Q3 fiscal 2026 revenue of $41.456 billion, beating market expectations of $35.423 billion and surging from $9.301 billion in the year-ago period. The company issued Q4 fiscal revenue guidance of $50 billion, against market expectations of $42.915 billion. Micron CEO Sanjay Mehrotra stated: "Micron’s record-breaking Q3 fiscal financial results and stronger Q4 outlook reflect the strategic value of memory chips in the AI era. We believe our multi-year strategic customer agreements will significantly enhance the durability and predictability of Micron’s strong financial performance." Micron’s Q3 report showed net profit of $28.24 billion, or $24.67 per share, up from $1.89 billion, or $1.68 per share, in the same period last year. Excluding certain one-time items, Micron reported adjusted earnings per share (EPS) of $25.11, exceeding analysts’ consensus estimate of $20.86. Driven by the quarterly revenue and outlook that topped expectations, as of press time, Micron jumped 15.95% in post-market trading on the U.S. stock market, also lifting other memory stocks sharply: Seagate (STX) rose 10.21%, Western Digital (WDC) gained 12.31%, and SanDisk (SNDK) surged 15.77%.
4 minutes ago
Kalshi is reportedly seeking a new round of financing, with its valuation potentially rising to $40 billion.
According to a report from the U.K.’s Financial Times, prediction market platform Kalshi is in discussions with investors for a new funding round targeting a roughly $40 billion valuation, with a potential close as early as the third quarter of this year. The development follows Kalshi’s $1 billion financing round completed last month, which valued the firm at $22 billion, with backers including leading institutions such as Coatue, Sequoia Capital, Andreessen Horowitz, and Morgan Stanley. Data shows Kalshi’s trading volume last month surpassed $17 billion, a sharp jump from less than $5 billion a year prior, with approximately 65% of that volume stemming from sports-related prediction contracts.
4 minutes ago
Polymarket integrates with Telegram via TON, enabling users to participate in prediction markets directly within the messaging app.
Polymarket has been integrated into Telegram via Predict, a native decentralized application (dApp) of the TON ecosystem. Developed by the Getgems team, the app allows users to directly participate in prediction markets covering sports, politics, cryptocurrency, culture and other sectors within Telegram. Transaction results are settled on-chain, and users retain full control over their assets. Users can participate in trades using USDT on the TON network, and pay a small amount of GRAM for gas fees. The cross-chain infrastructure is powered by STON.fi’s Omniston protocol, enabling the prediction market service to seamlessly integrate into the Telegram ecosystem.
4 minutes ago
Rubio: US and Iran to continue technical consultations at the end of this month
Multiple foreign media outlets reported on the 24th that US Secretary of State Rubio said technical teams from the United States and Iran will hold further talks in Switzerland by the end of June. (Xinhua News Agency)
4 minutes ago
Over the past 24 hours, total crypto market liquidations hit $606 million, with more than 130,000 traders liquidated.
According to Coinglass data, the global cryptocurrency market recorded $606 million in liquidations over the past 24 hours, including $542 million in long-position liquidations and $68.22 million in short-position liquidations. A total of 135,785 traders worldwide were liquidated in the same period, with the largest single liquidation order occurring on Binance’s BTCUSDT trading pair, valued at $12.0111 million.
