Author: BUBBLE
In October 2024, since the launch of AI Meme - GOAT initiated the AI Agent concept, Crypto began accelerating its integration with AI. Concepts like Game+AI, DeFAI, AIAgent Hive, etc., emerged in quick succession, with almost a batch of new conceptual projects appearing every week, until January 18th when Trump announced the issuance of MemeCoin, directly draining market liquidity, causing the CryptoAI bubble to burst prematurely. Two days later, DeepSeek announced the open-source R1 model, and after weeks of fermentation, the AI concept stocks in the US stock market also saw their bubble burst.
With 6 million USD able to create a large model, retail investors buying the dips on CryptoAI with a 60 million USD market value were once defined by the community as "intellectually insufficient wheat" (a derogatory term). This trend was rampant, and with US stock AI concepts collectively diving, the coin price naturally spiraled to death, and since then, the AI concept in Crypto gradually faded.
One quarter later, the CryptoAI wave returned to the market. $zerebro rose 400% in 2 days, Agent operating system $AIOS rebounded 10 times, Dark rebounded and flipped Musk's concept with over 40 million USD market value, while other established AI projects like $ALCH, $SWARM, $GRIFFAIN, $arc, $BUZZ all had gains ranging from 30% to 60%. This AI comeback brought not only price movements but also some new concepts.
AI Ecosystem Issuance Platforms Showcase Their Strengths
After the successful case of Pumpfun, a wave of asset issuance platforms swept through Crypto. During the previous AI Agent trend, frameworks and AI distribution networks/LaunchPads were the two domains with the highest FDV. However, after developer community frameworks like Ai16z developed to a certain extent, the community discovered that frameworks could do very little, especially in capturing value at the Crypto level. Therefore, surviving frameworks gradually transformed into LaunchPads. AI LaunchPads were also not doing well, primarily because the LaunchPads at the time could not meet the issuance of AI products. To carry the next AI boom, project parties began seeking solutions.
Bittensor - The Promised Land of CryptoAI Infrastructure
Although recently experiencing an incident where someone exploited a mechanism vulnerability in SN28 subnetwork to turn it into a MemeCoin, pushing TAO release into MemeCoin speculation, and ultimately being centrally intervened by the foundation, as time passes, the foundation's control over Bittensor subnets will become increasingly smaller, raising community doubts about its potential future as an "attention network" with generalized incentives. The long-term Bittensor project tracker "Weird Thinking" also published an article claiming it's a scam.
However, from a pure investment perspective, the Bittensor ecosystem's liquidity is better than other AI Agent ecosystems. For instance, Virtuals, because LP is paired with Virtuals, leads to higher volatility for liquidity providers. When investing in platform agent tokens, there's approximately 3% to 7% slippage. When investing funds in dTAO subnet tokens, slippage is typically 0.05% to 0.1%.
Because of this, VC or large capital AI project participants are more inclined to make long-term investments in Bittensor. Just last week, former Messari analyst and Crucible Labs partner Sami Kassab announced the formation of a fund specifically providing liquidity for Bittensor, together with his friend Seth Bloomberg who shares similar work experience.
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The rest of the text continues in a similar detailed manner, discussing various AI and Crypto projects, their developments, and potential future directions.
The Intern is an AI that helps with operations, capable of promoting, replying, and managing communities on X. It can understand community culture through deep learning and generate images using TADA. Currently collaborating with Pudgypenguins to launch Penguin Intern and operate its own Twitter. Based on the operational quality of Twitter, if it can be completely independently operated by AI and scaled at this level, it would be a good product.
BuzzingClub
BuzzingClub is a prediction market platform where the project team believes that the future of prediction markets should be in the hands of participants, not a central authority. "Everyone should be able to freely create, share, and express their opinions." Therefore, Buzzing is more open compared to other prediction platforms.
On Buzzing, all users can create prediction markets by "proposing topics or subjects" with rules generated by AI, then filtering out spam and low-quality prediction markets through AI algorithms, and finally using AI oracles to automatically retrieve internet search data instead of human data to determine prediction results.
Burnie
Burnie is a code learning platform that can improve users' coding skills in various aspects, and players can earn rewards by completing tasks it publishes.
For example, in an NBA game between the Celtics and Magic with odds of 0.92:0.08, if you bet on the Celtics, the "crowd-favorite team," your winning probability would be around 92%. However, even with such high odds, most people's investment returns are negative. Although crowd-favorite teams often have higher win rates, their odds are also higher, which means you'll win less money even if you predict correctly. People tend to bet on the teams they favor, resulting in low win rates for underdog teams, which means if you correctly bet on the underdog, you can earn a lot of money.
This is the advantage of the Sportstensor model, where miners run their own machine learning models using their own data to obtain the best results. Then, Sportstensor takes their average/median and uses it as a smart indicator to identify market advantages. The difference between the model-predicted odds and market odds is the part that users can profit from in the long term.
DeAI Infrastructure
This type of product is almost the earliest concept of merging Crypto and AI, such as the Grass project. Previously, there were countless similar products, but they were difficult to sustain. The key to decentralized computing power is how to optimize synchronized computing power and price it lower than traditional computing power providers. The key to decentralized training is the cost of data transmission itself, which is difficult to achieve during the infrastructure's imperfect period. However, once achieved, it will be a promising downstream market and has attracted significant VC attention.
PrimeIntellect
PrimeIntellect was co-founded by Vincent Weisser and Johannes Hagemann, who were previously members of VitaDAO, a leader in Desci. PrimeIntellect is a platform that commodifies computing power and models. Its investment lineup is quite impressive, with the seed round led by CoinFund and Distributed Global, raising $5 million. The second round was led by Founders Fund, raising $15 million. Individual investors include Polygon co-founder Sandeep Nailwal, notable investors, and former CoinBase CTO Balaji, among other industry influencers.
Recently, OpenAI's renowned researcher Yaoshunyu published an article titled "The Second Half," stating that we are currently in the middle of the AI era, and the second half is about to begin. If the first half of AI solved gaming and exam-solving, the second half will build billion or trillion-dollar companies by creating intelligent and useful products. For CryptoAI, there are certainly corresponding opportunities.
So look forward to it, welcome to the second half.
