April 5, 2025, marks what would be the 50th birthday of Satoshi Nakamoto—the pseudonymous creator of Bitcoin. This alleged birthday is based on the date listed in his P2P Foundation profile.
While Nakamoto’s true identity remains unconfirmed, his legacy continues to shape the digital financial landscape. Here are five facts about the elusive Bitcoin architect:
April 5 Wasn’t Random
Nakamoto listed April 5, 1975, as his birthday—exactly 42 years after the US government banned private gold ownership under Executive Order 6102 on April 5, 1933, to stabilize the dollar.
Satoshi’s wallet, believed to hold 1.096 million BTC, has remained untouched since early 2010. Over the past decade, its value has risen more than 333-fold, now exceeding $91 billion.
Despite the wallet’s inactivity, CoinJoin transactions are regularly sent to its address. Some view this as an act of homage or a method of obfuscation.
Embedded in Bitcoin’s first block is the headline: “The Times 03/Jan/2009 Chancellor on brink of second bailout for banks.” The line is from a UK newspaper.
It is seen as a critique of centralized monetary policy and remains one of Nakamoto’s only public statements beyond technical documentation.
Fifteen years after its launch, Bitcoin remains secure and deflationary by design. Nakamoto’s codebase, while modified and improved by the open-source community, still forms the foundation of the network, securing over $1.6 trillion in value.
In 2025, AI agents became the newest obsession for crypto market participants. They were integrated into decentralized finance (DeFi), gaming, infrastructure, and even DAO governance, touted as the next evolution of Web3 intelligence.
With this in mind, BeInCrypto contacted OORT CEO Dr. Max Li for his perspective on whether these autonomous, machine-learning-driven software acting on behalf of users could reshape crypto. Li had some interesting insights, but warned that real-world adoption, security, and regulation are the biggest hurdles ahead.
The AI Agent Gold Rush: Disruption or Distraction?
Data from the AI Agents Directory indicates an average monthly increase of 33% in the number of AI agents.
However, despite the growing interest, Web3-based artificial intelligence solutions still account for a minimal fraction (3%) of the overall AI agent ecosystem.
According to Dr. Max Li, founder and CEO of decentralized cloud network OORT, the space is moving faster than its infrastructure can handle, pointing to models like ElizaOS (formerly ai16z).
Yet, in his opinion, the broader playing field is not ready. He says the core infrastructure, from decentralized storage to tokenized agent marketplaces, is still under construction.
The Real Bottleneck? Security, Not Speed
While scalability is often seen as crypto’s weakness, Max Li says security and compliance are bigger threats. This is especially true when tokenizing AI outputs like computing, decision-making, or real-time data.
Dr. Li added that tokenized AI raises difficult questions. Who owns the data that the agents generate? How can decentralized systems comply with global data laws like GDPR? And what happens when AI agents interact with sensitive personal or financial information on-chain?
“These may already be more significant barriers than scalability,” Dr. Li warned.
The OORT executive emphasized that without clear custodianship or compliance frameworks, the risks extend beyond crypto to regulators, investors, and end-users.
Enterprise Adoption Isn’t Coming Anytime Soon
The industry often claims AI agents will bring real-world industries on-chain. However, Dr. Li says it is still a fantasy, particularly in the public blockchain.
He explained that while enterprises like Walmart could benefit from AI for internal operations, there is little incentive to tokenize those agents. Traditional firms want efficiency and control, not decentralized tokens wrapped around their core systems.
“Most enterprises would prefer to keep that data within their own secured servers rather than exposing it on a public, decentralized network,” he said.
While private chains may offer a bridge, Max Li says the idea of tokenized agents powering real-world logistics or finance is, for now, a crypto-native dream.
A Market Fueled by Hype
AI agent tokens have exploded in 2025. Riding the momentum of both AI and crypto, they have attracted massive capital inflows. However, Dr. Li parallels the dot-com bubble, concluding that while innovation is real, the market is overheated.
Based on this, he does not believe the current rally is sustainable: “It’s fair to say there’s a bubble forming here.”
This sentiment echoes Binance founder Changpeng Zhao (CZ), who recently warned that most AI token projects launch too early.
“Too many AI agent developers focus too much on their token and not enough on the agent’s usefulness. I recommend making a really good agent first,” wrote CZ in a post.
Zhao argued that only a tiny fraction of AI agents, say 0.05%, actually need tokens at this stage. Similarly, Hitesh Malviya, an analyst and popular figure on X, recently echoed this sentiment in a post.
“If you look outside the crypto echo chamber, you’ll find that we do have a solid ecosystem of free and better AI agents—and they don’t have tokens, nor might they ever need one. So, what we’re trading in the name of agents is nothing but memes—a value we created out of thin air, like we always do,” Hitesh observed.
Regulatory Turbulence Ahead
Perhaps the most underappreciated risk in the AI agent boom is regulation. The intersection of open AI systems, tokenized data, and borderless blockchains is a minefield for compliance.
Dr. Li warned of contradictions yet to be resolved: How can decentralized AI be transparent and private? Who is liable when agents act autonomously but cause financial losses?
“In the short term, regulatory intervention will likely create additional hurdles for innovation,” he concluded.
This is especially true where there is no global consensus. Until jurisdictions align on KYC (know-your-customer), AML (anti-money laundering) laws, and data governance, institutional adoption will remain cautious, if not frozen.
While the rise of AI agents is real, their integration into tokenized crypto ecosystems is still a high-risk, high-ambiguity frontier. Infrastructure remains fragile. Legal frameworks are missing, and real-world adoption is still speculative at best.
Dr. Max Li’s view is clear: crypto must shift its focus from hype to functionality—from token-first to agent-first design.
Only then will the next leap in AI-powered decentralization become more than just a market cycle.
According to a new report from Pine Analytics, token deployers on Pump.fun systematically funded sniper wallets to buy their own meme coins. This impacted over 15,000 token launches on the platform.
These sniper wallets operated primarily during US trading hours, executing standardized, profitable strategies. Unrelated bot activity obscures their behavior, making it extremely difficult to isolate these wallets—and they can readily adapt to new countermeasures.
However, Pine Analytics’ new report has uncovered a new controversy, discovering systematic market manipulation on the platform. These snipes include as much as 1.75% of all launch activity on Pump.fun.
“Our analysis reveals that this tactic is not rare or fringe — over the past month alone, more than 15,000 SOL in realized profit was extracted through this method, across 15,000+ launches involving 4,600+ sniper wallets and 10,400+ deployers. These wallets demonstrate unusually high success rates (87% of snipes were profitable), clean exits, and structured operational patterns,” it claimed.
Solana meme coin deployers on Pump.fun follow a consistent pattern. They fund one or more sniper wallets and grant them advance notice of upcoming token launches.
Those wallets purchase tokens in the very first block and then liquidate almost immediately—85% within five minutes and 90% in just one or two swap events.
Pump.fun meme coin developers exploit this tactic to create the appearance of immediate demand for their tokens. Retail investors, unaware of the prior sell‑off, often purchase these tokens after the snipe, giving developers an unfair advantage. This constitutes market manipulation and erodes trust in the platform.
Pine Analytics had to carefully calibrate its methods to identify genuine snipers. Apparently, 50% of meme coin launches on Pump.fun involve sniping, but most of this is probably bots using the “spray and pray” method.
However, by filtering out snipers with no direct links to developer wallets, the firm missed projects that covered their tracks through proxies and burners.
In other words, the meme coin community does not have adequate defenses against systematic abuse on Pump.fun. There are a few possible ways that the platform could flag repeat offenders and sketchy projects, but adaptive countermeasures could defeat them. This problem demands persistent and proactive action.
Unfortunately, it may be difficult to enact such policies. Meme coin sniping is so systematic that Pump.fun could only fight it with real commitment.
Analysts think that building an on-chain culture that rewards transparency over extraction is the best long-term solution. A shift like that would be truly seismic, and the meme coin sector might not survive it.
Three Bittensor subnet tokens — Chutes, Proprietary Trading Network, and Targon — are among the top projects to watch this week.
Chutes remains the largest subnet token by market cap despite recent price pressure, while Proprietary Trading Network is gaining attention through the DeFAI narrative. Targon, meanwhile, is trading at deeply oversold levels and could be setting up for a potential rebound. Here’s a closer look at each of these Bittensor-based tokens heading into the first week of May.
Chutes
Chutes is a serverless AI compute platform built by Rayon Labs. It is designed to deploy, run, and scale any artificial intelligence model within seconds.
Users can interact directly with the Chutes platform or integrate it easily through a simple API, offering fast and flexible AI infrastructure without the complexity of traditional server management.
Chutes is currently the largest Bittensor Subnet token by market cap, but it has faced pressure recently, falling nearly 18% over the past seven days.
After rallying 67% between April 7 and April 12, the token has since dropped about 30% from its peak. Its Relative Strength Index (RSI) is now at 23.78, signaling deeply oversold conditions.
This setup could mean that Chutes is nearing a potential reversal zone.
If the project manages to recover its earlier momentum, being the biggest Subnet on Bittensor could amplify its gains through network effects, potentially triggering a strong uptrend that could drive the price back toward the $0.40 range.
Proprietary Trading Network
Proprietary Trading Network, or Taoshi, is a decentralized finance platform operating within the Bittensor ecosystem. It builds dynamic subnetworks where decentralized AI and machine learning models analyze data across multiple asset classes.
Its mission is democratizing access to sophisticated trading strategies, combining AI, blockchain, and finance to deliver advanced data that helps users make more informed financial decisions.
Proprietary Trading Network’s market cap is close to $50 million, with its trading volume jumping nearly 160% in the last 24 hours to reach $3 million.
Proprietary Trading Network Token Performance. Source: Tao Stats.
If the current momentum strengthens, the token could soon rise to retest the $0.20 and $0.25 resistance levels, supported by growing attention across these sectors.
Targon
Manifold Labs developed Targon, which is a Bittensor Subnet token that is building an AI cloud platform that enables users to run inferences on AI models at high speed and low cost.
Through its Playground and API, Targon offers many models optimized for completion and chat tasks.
The platform emphasizes fast performance, high scalability, and cost-efficiency, allowing developers and companies to deploy and scale AI models while minimizing infrastructure complexity easily.
