Opinion
It’s Easier Than You Think to Build With AI and Web3
Published
3 months agoon
By
admin
Remember those middle-school writing prompts: Describe your favorite cookie.
Your teacher told you to write it as if to an alien, a being who had never encountered a cookie before, which meant touching on each sense – sight, sound, smell, touch, taste. You might not have realized it then, but describing something in a way that allows people to get a clear picture is actually quite hard.
Let me try to describe Matheus Pagani, founder and CEO of Venture Miner. Matheus is a male with light caramel skin and dark brown hair. Even though his hair is cut close, you can tell it’s curly. He’s got a thick dark brown, almost black beard, which connects to a mustache. His eyes are dark brown behind thin wire glasses. His bottom lip sticks out a little further from his top lip, giving him a look of assurance, but not arrogance.
Picturing him yet? How confident are you?
Oh yeah, and he’s Brazilian.
Got it?
Let’s see what Matheus Pagani actually looks like.
Is this what you had come up with in your head from my description? Doubt it. Whenever I told you he was Brazilian, did you accessorize him in bright colors and a feathered headdress? Something like this?
If so, check your bias, but also you’re thinking like an AI. That was what ChatGPT came up with from the prompt “some Brazilians having fun.” Pagani showed this and other examples spit out by our generative AI (Italians have fun by sitting around long tables with multiple generations eating pizza) during the AI2Web3 Bootcamp in NYC in early December.
The bootcamp, run by Pagani and Build City, brought together 59 participants across all skill levels to learn how the two buzziest (and often misunderstood) technologies can be brought together to create useful products and services. Pagani used a version of the middle-school assignment to explain how and why AI made the significant leaps that have kept us all excited and on edge over the past few years. Before there was largely only text data being used to train AIs, and as the exercise highlights, that only goes so far. But mix text information with visual data, and you get a fuller picture.
And understanding this, getting hands on with both AI and blockchain technology to understand its core components is what the bootcamp was all about. For Pagani, these skills are going to be relevant for nearly all people – engineers, tech users, journalists, artists, doctors – real soon.
“We want to join brilliant minds from all backgrounds to come and work with AI and Web3, since the junction of their multiple perspectives can uncover new use cases that we would never envision just with a specialized Web3 or AI mindset alone,” Pagani said. “Nowadays we have tools to easily enable any non-technical enthusiasts to build practically functional applications and systems just with “plain English,” so what matters is bringing passionate people interested in solving problems together with the proper education. When you have this combination, you just need to light the match and watch it burn.”
Mind-Boggling Building
What makes the intersection of these two technologies so exciting is just how much you can build in such a short amount of time without really any prior technical experience.
Not only will AI source whole codebases with the right prompt, but the crypto industry is also building tools to help make developing at the intersection of both more intuitive and accessible.
For instance, Coinbase, who sponsored the bootcamp, launched AgentKit in November. The framework allows developers to build AI agents with their own crypto wallets, enabling the agents to interact autonomously with blockchain networks. This could be used to build a squad of agents that can monitor the markets and execute trades automatically based on predefined rules and guardrails.
“One day, we’ll have AI agents own their own cars and operate their own taxi service that gets paid by customers in crypto and then uses that crypto to purchase repairs,” Lincoln Murr, associate product manager at Coinbase, told the attendees.
Coinbase currently has a grants program ongoing for building with AgentKit. “What you build doesn’t have to be useful; we have a bias towards cool stuff,” Murr told the bootcamp, hoping to inspire projects and applications that no one has yet thought of.
Ora Network also has an interesting model for developers looking to build AI-enabled Web3 applications or vice versa. The network allows developers to utilize current large language models, including Meta’s Llama3 and Stable Diffusion, but it also enables developers to build their own models and offer a so-called initial model offering (IMO) to crowdfund its continued development.
“It’s kind of winner-takes-all right now in AI, but with this model, we’re allowing the crowdfunding of AI building and training, so people can have a share of the models, which is empowering if we think these models will run society in a decade,” Alec James, partnerships and growth lead at Ora, said during the bootcamp. “If that’s the case, we’ll want that development distributed.”
Near, Fleek and Alora were also among the companies that sponsored the bootcamp and presented their various tools and programs for building at the intersection of these two innovative technologies.
Can Devs Do Something?
During the final day of the bootcamp, nine teams presented working prototypes for projects that blended Web3 and AI. These projects ranged from AI assistants meant to help you pick gifts, order delivery or diversify your financial portfolio to applications to help crypto operators pump out memecoins with big virality potential.
Jackie Joya, a participant who had flown in from San Francisco, said the bootcamp has really inspired her to keep building. With a background in animal science, Joya is still new to engineering, but was amazed how much a novice could build with the tools available.
Other participants, across all skill levels, said similar things. Choudhury Imtiaz, a market researcher from Bangladesh, who is in the U.S. on an H-1B1 Visa waiting for a placement, hasn’t heard of Web3 before the bootcamp, but was able to pitch a team project on the last day. And Isayah Culbertson, who has worked as an engineer for both crypto and AI projects separately, was able to learn skills for building with both, which he thinks has the potential to change the world for the better.
“I see the combination accelerating the research and development of so many different fields, while also allowing for a more equitable distribution of wealth generated from that R&D,” he said.
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Opinion
Crypto’s Biggest Barrier to Adoption? It’s Not Regulation — It’s UX
Published
1 day agoon
April 13, 2025By
admin

As the crypto industry matures, much of the focus remains on regulation, custody, and scalability. But in 2025, the biggest barrier to adoption isn’t policy — it’s user experience. Crypto’s interfaces are still too complex for everyday users. From managing seed phrases to deciphering blockchain transactions, onboarding feels more like navigating a maze than joining a financial revolution. Wallets remain fragmented, unintuitive, and risky.
To reach mainstream adoption, the industry must prioritize usability — making wallets and financial tools more accessible — without compromising the core principles of decentralization. Until then, poor UX will continue to hold crypto back.
Vitalik Buterin’s Call for Account Abstraction
Ethereum co-founder Vitalik Buterin has been one of the most vocal proponents for improving the usability of crypto wallets. His critique centers on the fact that wallets are designed with developers, not end-users, in mind. While technical innovations in blockchain security are advancing, wallets often remain rooted in outdated models that prioritize control over ease of use, leaving the average user overwhelmed and vulnerable to mistakes.
Buterin’s proposed solution (EIP-7702), account abstraction, is a breakthrough concept that could reshape how we interact with crypto assets. Account abstraction allows smart contract functionality to be applied to externally owned accounts (EOAs), the most common type of wallet used in crypto. This would enable more intuitive and flexible security mechanisms, such as social recovery, multi-signature support, and customizable authentication methods, without compromising decentralization or self-custody.
At its core, account abstraction decouples the traditional reliance on a single private key for securing assets, creating the potential for much more user-friendly experiences. Rather than expecting users to memorize long and complex seed phrases or manage multi-step transactions, account abstraction can allow for recovery options, automatic transaction approvals, and even the option to delegate certain actions to trusted contacts — without ever losing ownership of the private keys.
A Call for Human-Centered Design in Crypto
Crypto’s UX problem isn’t just about cleaner interfaces — it’s about rethinking design to prioritize human needs. Historically, tools have been built for power users comfortable with seed phrases and command-line interfaces. But for mass adoption, crypto must serve people who’ve never held a private key.
This is where human-centered design becomes essential. Developers must build wallets and tools that are intuitive, context-aware, and focused on user safety. The shift must move from catering to the technically inclined to empowering everyday users who are new to crypto. To succeed, wallets need to embrace the following core design principles:
- Smart Defaults and Progressive Onboarding: Users should not need to dive into settings or security configurations to get started. Newcomers should be able to start using a wallet with minimal friction, but with built-in guidance and the option to unlock more advanced features as they become more familiar with the space. By providing clear default security settings — such as social recovery options and automatic transaction limits — wallets can offer both ease of use and security from the outset.
- Clear, Intuitive Signing Processes: Transaction signing should be straightforward, with clear explanations of what users are agreeing to. If a user is about to approve a transaction that could drain their wallet, this should be prominently displayed in plain language, not buried under hexadecimal codes or complex jargon. Reducing ambiguity in these interactions will help mitigate the risks of scams and human error.
- Social and Multi-party Recovery Systems: Relying solely on seed phrases as a recovery method is an outdated and risky practice. Instead, wallets should adopt social recovery systems, where users can designate trusted parties to help restore access to their wallet in case of lost keys. This approach not only makes wallets more resilient but also adds a layer of user trust and security.
- Built-In Education and Contextual Help: To truly empower users, crypto wallets need to include educational tools directly within the interface. Contextual prompts, tooltips, and interactive tutorials can help users understand the significance of each action they take, without overwhelming them with dense technical documentation.
- Automation with Control: Features like auto-payment for transaction fees or the ability to batch transactions can make using crypto wallets much more intuitive, especially for newcomers. But these features must be balanced with user control. Users should have the final say over transactions, but automation can help reduce some of the cognitive load that crypto novices experience.
The Future of Crypto Is Usability and Security—Without Compromise
As crypto moves forward, the real challenge will be to reconcile usability with the core tenets of decentralization and security. Innovations like account abstraction are promising, but the industry must continue to prioritize human-centered design. The goal should be to design tools that make crypto accessible, secure, and simple — without sacrificing self-custody or decentralization.
The future of crypto will not be determined by how fast blockchains can scale or how complex DeFi protocols can get; it will be defined by whether the average person can use crypto with confidence. Until then, crypto will remain an exclusive tool for developers and enthusiasts, rather than a technology that empowers the masses.
The question is simple: Can crypto be both intuitive and secure, or will it continue to be a space designed only for the technically proficient? The answer will determine whether crypto achieves its promise of financial freedom for all.
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Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.
Chinese companies are leading the AI arms race. Chinese politician and computer scientist Lou Qinjian said as much, recently commending DeepSeek for their accomplishments: “DeepSeek adheres to an open-source approach and promotes the widespread application of AI technology globally, which contributes Chinese wisdom to the world,” he said.
“Through the rise of companies like DeepSeek, we can see the innovation and inclusiveness of China’s technological development.”
In February, at the Artificial Intelligence Action Summit in Paris, US Vice President JD Vance made clear where the Trump Administration stands on artificial intelligence. He said that, first and foremost, the Trump administration will ensure that American AI technology remains “the gold standard” worldwide and that US companies remain the partner of choice for international companies and foreign countries.
The Vice President argued that excessive regulation in the AI sector would kill the nascent industry, and that the administration would encourage pro-AI growth policies. “And I’d like to see that deregulatory flavor, making its way into a lot of the conversations at this conference,” he said. Vance also made it clear that AI should be free of ideological bias and that “American AI will not be co-opted into a tool for authoritarian censorship.”
Finally, the Trump administration will safeguard a pro-worker growth path for AI so it can create jobs in the United States. Vance also brought up the notion of foreign adversaries weaponizing AI software to rewrite history, surveil users, and censorship. As Vance stated:
“This is hardly new, of course, as they do with other tech. Some authoritarian regimes have stolen and used AI to strengthen their military intelligence and surveillance capabilities, capture personal data, and create propaganda to undermine other nations’ national security.”
He warned conference attendees against partnering with such regimes. “From CCTV to 5G equipment, we’re all familiar with cheap tech in the marketplace that’s been heavily subsidized and exported by authoritarian regimes,” he said. “But as I know, and I think some of us in this room have learned from experience, partnering with them means chaining your nation to an authoritarian master that seeks to infiltrate, dig in, and seize your information infrastructure.”
Under the hood of DeepSeek
DeepSeek shocked global markets in January with low-cost models that made it seem like US companies were now behind in the AI arms race. The AI lowered the costs of developing reliable AIs, proving itself to be a powerful and cost-efficient open-source language model.
It changed the way we view how much capital and computational resources are needed to develop AI. Researchers across the Western world are now left playing catch-up, studying DeepSeek’s technical advances and social implications.
There are clear benefits to DeepSeek. For instance, startups without the deep pockets of Google and OpenAI can now compete in the AI sector. AI models can do more with less in the post-DeekSeep world. The company claims it took a mere $6 million using 2,000 Nvidia H800 graphics processing units (GPUs) versus the $80 million to $100 million cost of GPT-4 and the 16,000 H100 GPUs needed for Meta’s LLaMA 3.
The Hangzhou-based startup’s AI model employs reasoning capabilities that allow smaller models, whereas other AIs have had to employ larger models. It also uses reinforcement learning, eliminating the need for supervised fine-tuning. Moreover, DeepSeek’s multi-head latent attention (MHLA) mechanism decreases memory usage to 5%, down from 13%, in earlier AI methods.
DeepSeek raises privacy concerns and questions regarding data-sourcing and copyright. DeepSeek is open-weighted, not open source. Open source models share the full source code and data, and open weight models share trained weights but not the code. Therefore, the exact source code used to train the models is not available.
Due to DeepSeek’s open weight model, it is unknown what its sources are. This seems to be the way most AI companies operate. DeepSeek made public its R1 training and open weight models, which will allow other AI developers to copy and build on the model, but not its sources.
DeepSeek and geopolitics
A race for AI dominance between China and the US has come into focus, while Russian capabilities on the matter remain a secret. Sberbank—Russia’s largest state-owned bank—has revealed its intentions to collaborate with Chinese researchers on AI projects. Russia and China, which share what they call a “no limits” strategic partnership, have long talked about AI cooperation—including in military applications—but little is publicly known about its depth or scope.
Sberbank, under CEO German Gref, once a Soviet-style former state savings bank burdened by onerous bureaucracy, is today one of Russia’s leading players in artificial intelligence. It released its GigaChat model in 2023. “Sberbank has many scientists. Through them, we plan to conduct joint research projects with researchers from China,” Sberbank First Deputy CEO Alexander Vedyakhin told Reuters.
As the AI arms race heats up, the benefits of open source innovation come to the forefront. Little flowers bursting through the concrete all around the world, coming up with cool tech that is open-sourced and decentralized.
Manouk Termaaten
Manouk Termaaten is the founder and CEO of Vertical Studio AI.
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Bitcoin
The tariff war fallout: Is crypto to the rescue?
Published
3 days agoon
April 11, 2025By
admin
Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.
The Trump administration introduced new tariffs and expanded existing ones, which resulted in increasing trade tensions among major partners like China, the European Union, and Mexico. Global financial markets are significantly impacted by these actions, which causes increased economic uncertainty and volatility. These tariffs are aimed at a range of products, from aluminium and steel to cars and various electronic components. Unsurprisingly, some countries have responded with counter-tariffs on US exports, which could potentially trigger a big trade war.
This back-and-forth has resulted in increased trade barriers, which are slowing down economic growth—a trend that’s evident in recent macroeconomic indicators, including the Conference Board consumer sentiment index. Consequently, forecasts for US GDP growth have been adjusted downward due to the impact of these tariffs. The automotive sector, which relies heavily on imported parts, is also feeling the pinch, with Ford Motor Co. recently announcing a significant cut in expected dividends.
How trade barriers are turning Bitcoin into a global safe haven
Donald Trump’s recent actions prove that his attitude towards his tariffs is very consistent and goal-oriented, which has sparked a ‘contrarian’ positive outlook for cyclically resistant investment assets, where Bitcoin (BTC) occupies a special position. With rising tariffs and inflation worries, more people are turning to alternative, discorrelated assets, which are broadly viewed as a safeguard against both inflation and impending economic instability in general.
Historically, Bitcoin has proven to be quite resilient during tough economic times. For instance, during market upheavals—like the banking sector turmoil we saw in 2023 following the collapse of Silicon Valley Bank—Bitcoin evidently experienced price surges, hinting at a “flight to safety” trend being formed robustly and meaningfully. However, to date, such trends remain mostly perceptional and, therefore, unfortunately, hard to quantify and algorithmize.
Having said that, the fact that the US is still at the forefront of various innovative efforts in cryptocurrency and AI somewhat mitigates the broader implications of the tariff situation. Recently, Senator Cynthia Lummis (R-WY) put forth a legislative proposal suggesting that the US should acquire one million BTC, representing about 5% of the total fixed supply. This initiative is expected to spark a new wave of significant activity in the crypto market.
The combination of supportive government policies for crypto and the expectation of more tariff actions will likely create a complex but potentially very favorable market sentiment for Bitcoin. Once again, investors, swayed by these developments, are starting to see Bitcoin as a safe haven with the potential for sustained growth in a post-tariff landscape. The current market vibe, shaped by Trump’s tariff strategies and the prospect of long-term shifts, makes Bitcoin look like a low-downside-high-reward investment opportunity.
AI and robotics: Winners in the tariff war
Meanwhile, AI-aided automation and robotics are on the rise as increasing import costs from China push American manufacturers to cut labor costs. Similarly, countries like Vietnam and India are reaping the benefits as global companies relocate their manufacturing operations from China to avoid tariff-related expenses. Additionally, I see a lot of promise in sectors like AI, nuclear energy, and other manufacturing industries, which have the chance to set up operations in the United States.
Integrating AI and automation within manufacturing industries can drive greater adoption of Bitcoin as a secure and efficient method of financial transactions, incorporated into metaverse and web3 ecosystems. Furthermore, the demand for AI technologies to support automated processes will likely surge, presenting new investment opportunities in the AI sector. Most importantly, the synergy between AI-aided automation, robotics, Bitcoin, and AI investments has the potential to reshape the future of the manufacturing and technology industries, which will drive even more attention to Bitcoin.
Tariffs, trade wars, and rising risks: What investors should watch out for
Trade barriers may—at least initially—disrupt certain supply chains, increase business costs, and reduce export demand due to retaliatory tariffs. Instability in one major market or economy due to trade tensions can spill over to other countries and regions, creating a global ripple effect. This can lead to lower investment, reduced hiring, and overall slower economic expansion, potentially even triggering a recession where gold and alternative assets like Bitcoin would definitely play special risk aversion roles, making their increasingly anti-correlative Betas more and more attractive for ordinary investors to “join the club.”
It is important to keep the focus on the long term and invest in industries with high potential, such as AI, nuclear energy, healthcare, and rare earth metals. There may be some transitory, recoverable meltdown because the market is overvalued due to years of way-too-buoyant liquidity and overrated optimism. Still, if companies decide to quickly move to make production in the US and replace costly outsourcing, they have a great future due to the huge domestic market in this world’s largest economy.
To navigate the challenges of this shaky market, both private investors and institutions can use a variety of diversification strategies. One effective approach is asset class diversification, which involves spreading investments across different types of assets like stocks, bonds, real estate, commodities, and certainly alternative options like Bitcoin and other cryptocurrencies. Additionally, it’s important to consider both developed and emerging markets while using various investment strategies—like value investing, growth investing, or dividend investing—which normally yield different results in different market conditions.
Final words
Currently, the market’s reaction to Trump’s tariffs suggests that Bitcoin is becoming more discorrelated to broader macroeconomic and geopolitical factors and, hence, more appealing regarding both asset-protection and investment portfolio hedging purposes. Historically, Bitcoin demonstrated notable resistance to economic cycles and episodes of banking system instability. Now, it offers a legitimate test of its suitability as a risk aversion tool for real-world economic troubles. Its inclusion in the U.S. strategic reserve further underpins this thesis.

John Murillo
John Murillo is the chief dealing officer of B2BROKER, a global fintech solutions provider for financial institutions. John is a seasoned trading professional with more than 20 years of experience in capital markets. Throughout his professional life, John has managed broker-dealer business, performed risk management for trading desks with high volumes, and worked with institutional clients worldwide to deliver tailored liquidity solutions. He has been part of B2BROKER since its early days, ensuring the company grows and functions effectively. At B2BROKER, he is responsible for all the facets of liquidity, ensuring client setups are seamless before going live and enhancing internal risk management procedures. Treasury operations, creating strategic services, and expanding international market presence are also among his duties.
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