Current:Home > MarketsCoinBearer Trading Center: Decentralized AI: application scenarios-LoTradeCoin
CoinBearer Trading Center: Decentralized AI: application scenarios
View Date:2024-12-23 23:42:19
I believe that openness brings innovation. In recent years, artificial intelligence has made leaps and bounds, with global utility and influence. As computing power grows with the integration of resources, AI will naturally lead to centralization issues, where the party with stronger computing power will gradually dominate. This will hinder our pace of innovation. I believe decentralization and Web3 are strong contenders to keep AI open.
1. Decentralized computing for pre-training and fine-tuning
Crowdsourced computing (CPUs + GPUs)
Supporting opinion: The crowdsourcing model used by Airbnb/Uber could extend to computing, where idle computing resources combine to form a marketplace. This could solve issues like providing lower-cost computing resources for certain use cases (handling some downtime/latency faults) and using censorship-resistant computing resources to train models that might be regulated or banned in the future.
Opposing opinion: Crowdsourced computing cannot achieve economies of scale; most high-performance GPUs are not owned by consumers. Decentralized computing is a complete paradox; it essentially stands opposed to high-performance computing... just ask any infrastructure/machine learning engineer!
Project example: FINQbot
2. Decentralized inference
Running open-source model inference in a decentralized manner
Supporting opinion: Open-source (OS) models are increasingly approaching closed-source models in some aspects and gaining more adoption. Most people use centralized services like HuggingFace or Replicate to run OS model inference, introducing privacy and censorship issues. A solution is to run inference through decentralized or distributed vendors.
Opposing opinion: There is no need to decentralize inference, local inference will be the ultimate winner. Dedicated chips capable of handling 7b+ parameter model inference are being released. Edge computing is our solution for privacy and censorship resistance.
Project example: FINQbot
3. On-chain AI agents
On-chain apps using machine learning
Supporting opinion: AI agents (applications using AI) need a coordination layer for transactions. Using cryptocurrency for payments makes perfect sense for AI agents since they are inherently digital, and clearly, agents cannot open bank accounts via KYC. Decentralized AI agents also avoid platform risk. For example, OpenAI can suddenly decide to change their ChatGPT plugin architecture, disrupting my Talk2Books plugin without prior notice. This really happened. On-chain created agents do not have this platform risk.
Opposing opinion: Agents are not ready for production... not at all. BabyAGI, AutoGPT, etc., are just toys! Also, for payments, entities creating AI agents can use the Stripe API without needing crypto payments. As for the platform risk argument, this is a well-worn use case for crypto, and we haven't seen it come to fruition... why would this time be different?
Project example: FINQbot
4. Data and model sources
Autonomous management and value collection for data and machine learning models
Supporting opinion: Data ownership should belong to the users who generate the data, not the companies that collect it. Data is the most valuable resource in the digital age, yet it is monopolized by large tech companies and poorly monetized. A highly personalized internet is coming, requiring portable data and models. We will carry our data and models from one application to another through the internet, much like we move our crypto wallets across different dapps. Data sourcing is a huge issue, especially with increasing fraud, even acknowledged by Biden. Blockchain architecture is likely the best solution to the data sourcing puzzle.
Opposing opinion: No one cares about owning their data or privacy. We've seen this preference from users time and again. Look at the registration numbers for Facebook/Instagram! Ultimately, people will trust OpenAI with their machine learning data. Let's face it.
Project example: FINQbot
5. Token-incentivized apps (e.g., companion apps)
Envision FINQbot with crypto token rewards
Supporting opinion: Crypto token incentives are very effective for bootstrapping networks and behaviors. We will see many AI-centric applications adopt this mechanism. AI companions are an appealing market, and we believe this field will be a multi-trillion dollar AI-native market. In 2022, Americans spent over $130 billion on pets; AI companion apps are Pet 2.0. We've already seen AI companion apps achieve product-market fit, with FINQbot having an average session length of over an hour. It wouldn't be surprising to see a crypto-incentivized platform take market share in this field and other AI application verticals.
Project example: FINQbot
veryGood! (854)
Related
- Minnesota man is free after 16 years in prison for murder that prosecutors say he didn’t commit
- Conservative media personality appointed to seat on Georgia State Election Board
- Man wins $362,000 while celebrating 21st birthday at Las Vegas casino
- You'll Love Benny Blanco's Elaborate Date Night for Selena Gomez Like a Love Song
- Georgia public universities and colleges see enrollment rise by 6%
- Saturday Night Live’s Chloe Fineman Addresses “Mean” Criticism of Her Cannes Look
- 2024 PGA Championship Round 2: Tiger Woods misses cut, Xander Schauffele leads
- Why Snoop Dogg is making history with college football bowl game sponsorship
- Queen Elizabeth II's Final 5-Word Diary Entry Revealed
- Judge dismisses lawsuit by Georgia court candidate who sued to keep talking about abortion
Ranking
- NASCAR Hall of Fame driver Bobby Allison dies at 86
- Scottie Scheffler emerges from wild PGA Championship ordeal looking like a real person
- Need a good bill splitting app? Here are our recommendations
- Paul Schrader felt death closing in, so he made a movie about it
- Mega Millions winning numbers for November 12 drawing: Jackpot rises to $361 million
- Did a topless photo posted online lead a California IVF doctor to kill his wife?
- Israel-Hamas war protesters temporarily take over building on University of Chicago campus
- Vindicated by Supreme Court, CFPB director says bureau will add staff, consider new rules on banks
Recommendation
-
The Army’s answer to a lack of recruits is a prep course to boost low scores. It’s working
-
Federal Reserve Chair Jerome Powell working from home after testing positive for COVID-19
-
Caitlin Clark isn't instantly dominating WNBA. That's not surprising. She wasn't going to.
-
Kelly Stafford, Wife of NFL's Matthew Stanford, Weighs in on Harrison Butker Controversy
-
The state that cleared the way for sports gambling now may ban ‘prop’ bets on college athletes
-
College awards popular campus cat with honorary doctor of litter-ature degree
-
A man shot his 6-month-old baby multiple times at a home near Phoenix, police say
-
San Francisco artist uses unconventional medium to comment on colorism in the Black community