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It’s Easier Than You Think to Build With AI and Web3

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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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Raydium’s RAY Dives 25% as Pump.Fun Appears to Test Own AMM Exchange

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Solana-based token issuance platform Pump.Fun may soon be launching its own automated market maker (AMM), according to a URL connected to the site. However, there has been no public announcement yet.

AMM is a exchange system in crypto markets that makes trading easy by using a liquidity pool of usually, and at least, two tokens. Instead of matching buyers and sellers like a traditional exchange, smart contracts set the prices based on supply and demand and allow trades to be processed without a counterparty.

The “amm.pump.fun” shows a swap product in the making with a sell and buy option alongside a deposit and withdrawal function. That’s a first for Pump.Fun, which lets anyone issue a token for less than $2 in capital, after which they choose the number of tokens, theme, and meme picture to accompany it.

When the market capitalization of any token reaches $69,000, a portion of liquidity is deposited to the Solana-based exchange Raydium and burned (or when tokens are taken out of supply permanently).

Pump.Fun’s own AMM would mean tokens are no longer migrated to Raydium, or at least that’s what the market thinks, dampening sentiment for the latter’s RAY tokens. RAY is down 25% in the past 24 hours on the apparent development.

“It seems they are planning to have pump tokens graduate to their own pools instead of Raydium,” trader @trenchdiver101, who first flagged the development, said. “They can either extract more fees on Solana or have some mechanism to reward token holders.”

Though a part of Raydium’s total trading activity is derived from Pump.Fun tokens, the exchange supports several other top markets — such as Solana (SOL) to stablecoins and others — contributing to its $500 million in average daily trading volumes.

As such, the product could further bump the revenues and profits of Pump.Fun, which has no token but is among the most profitable crypto applications in the past year — a rare feat in a market where businesses heavily rely on token sales to generate income.

Pump.Fun has pocketed over $550 million in total fees since Mar.2024, data shows, with $2.4 billion in trading volumes over just the past two weeks. Over 8 million tokens have been issued on the platform since its 2024 launch, with a few, such as fartcoin (FART), reaching billions of dollars in market capitalization.

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Solana Whales Increase Engagement in Bearish Options Plays on Deribit Amid SOL Meltdown and Impending Unlock

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Deribit’s options market for Solana’s SOL token has become active, with whales engaging in bearish bets as the token’s price continues to decline ahead of an impending multi-billion dollar unlock.

Last week, SOL block trades totaling $32.39 million in notional value crossed the tape on Deribit, representing nearly 25% of the total options activity of $130.74 million. The remainder of the activity comprised screen trades, according to Amberdata. That’s the second-highest proportion of block trades to total activity on record.

A «block trade» in options refers to a significant, privately negotiated options transaction between two parties involving a large number of contracts. Such trades, typically associated with whale activity, are executed over-the-counter and outside the regular order book and then booked on the exchange, allowing for a minimal impact on the market prices.

Options are derivative contracts that give the purchaser the right but not the obligation to buy or sell the underlying asset, in this case, SOL, at a preset price on or before a specific date. A call option gives the right to buy, while a put option provides the right to sell. On Deribit, which accounts for over 85% of the global crypto options activity, one options contract represents 1 SOL.

Last week’s spike in SOL block trades featured a preference for put options, which traders use to hedge against or profit from a potential price slide.

«Nearly 80% of the block-trade volume was concentrated in put contracts. Compared to only 40% puts for BTC and 37.5% puts for ETH during the same timeframe,» Greg Magadini, director of derivatives at Amberdata, said.

The whale demand for put options comes as SOL’s outlook appears grim following the 46% price slide to $160 in just over five weeks. The activity on the Solana blockchain, which became a go-to-place for memecoin traders last year, peaked with the launch of the TRUMP token on Jan. 17, three days before Donald Trump was inaugurated as the President of the U.S.

Since then, the number of daily transactions on Solana and the cumulative daily volume on the Solana-based decentralized exchanges has declined significantly, according to data source Artemis. That has weakened the bullish case for SOL.

Plus, the impending SOL token unlock on Jan. 1 presents a significant headwind, per Deribit’s Asia Business Development Head Lin Chen.

«Solana (SOL) will have a major token unlock event on March 1, releasing 11.2 million SOL tokens, valued at approximately $2.07 billion. This represents 2.29% of the total supply. A significant portion of the unlock comes from the FTX estate and a foundation sale,» Chen said.

Chen explained that the large unlock could breed market volatility as it accounts for nearly 59% of SOL’s daily spot trading volume. Hence, its natural to see a lot of hedging flow in put options in anticipation of a potential extended SOL price slide.

«Many traders would also take this opportunity to long Vol[atility] to generate good yield,» Chen noted.

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Bybit Closes ‘ETH Gap’ as Exchange Replenishes $1.4B Hole After Hack

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Bybit has returned to a 1:1 backing of client assets and has fully closed the “ether gap” it faced after an unprecedented $1.4 billion hack hit the exchange late Friday.

The exchange has received 446,870 ether (ETH), worth $1.23 billion at current prices, through loans, large deposits, and ether purchases in the past two days, on-chain tracking service Lookonchain said in an X post on Monday.

Address activity suggests more than $400 million were purchased through over-the-counter trading, with another $300 million brought directly from exchanges. Nearly $300 million were sought as loans; the rest are from addresses apparently belonging to crypto funds.

ETH prices rose upto 4% over the weekend amid the apparent buying activity, but are down 2% in the past 24 hours as sentiment isn’t fully lifted.

Meanwhile, Bybit said late Sunday that all deposit and withdrawal activity had “fully recovered to normal levels — with total deposits “slightly exceeding” withdrawals as on Saturday in a sign of market confidence.

Friday’s attack targeted one of Bybit’s offline “cold” wallets, which are typically considered secure due to their lack of internet connectivity, in a heist that allowed $1.4 billion in ETH to be withdrawn.

Hackers gained control by exploiting a sophisticated method involving a manipulated user interface (UI) and URL. This allowed the attackers to alter the smart contract logic, redirecting the funds to an unidentified address. The stolen assets were then split across multiple wallets and swapped on decentralized exchanges.

Blockchain sleuth ZachXBT linked the hack to North Korea’s Lazarus Group, a state-sponsored hacking collective notorious for crypto thefts. Lazarus was behind several high-profile crypto attacks, including the $600 million Ronin Network hack in 2022, and a $230 million drain on Indian exchange WazirX in 2024.

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