AI
News and analysis on artificial intelligence in crypto and blockchain — ChatGPT, AI trading, neural networks, generative models.
AI terms glossary →Latest AI coverage
AI predictions come without numbers. Six deployments come with them
27% a month compounds to 1,660% a year. The guidance says 70%
Four B200s serve forty people, and that is the optimised number
A 30B model beat Nvidia's flagship by 31 points on Nvidia's own problem
Nvidia's supply chain is the first customer of Nvidia's own AI stack
The best maths model is a byproduct, and it left 120 problems open
The better cyclone forecast runs on a grid a hundred times coarser
Speed became a monthly metric, and 13,000 targets took 38 days
Anthropic named a 10% risk and withheld its newest model from Britain
Apple bought the same founder's company twice, twelve years apart
The version where Meta cannot read your data has no date
Huang said “for many tasks” on the call and “AGI has arrived” on X
OpenAI offered co-authorship if he dropped the Anthropic colleague
The alignment lead says above 10%. The compute bill says $517 billion
AI helps a drug pass phase 1. At phase 2 the advantage disappears
Coca-Cola's 83% adoption figure covers a tenth of its network
An AI scribe dropped one word and reversed a diagnosis
GPT-6 Astra finished Portal alone, and the game was paused
Anthropic booked $517 billion of compute after warning rivals
A data center burned in June. In August the hydrants were still dry
What Artificial Intelligence Is and Why It Matters for Crypto
Artificial intelligence is software that doesn't follow rigid, hand-written rules — instead, it learns patterns from data during training and applies them to new tasks. Most modern systems are built on a neural network, and the most visible ones, like ChatGPT, are LLMs (Large Language Models) trained on massive amounts of text.
For the crypto market, this stopped being an abstract technology from another industry a while ago. AI and blockchain increasingly overlap: models analyze on-chain data and news flow faster than any human trader, and developers have built an entire sector of AI-crypto projects — tokens and protocols built around machine learning. The influence runs the other way too: rising interest in AI moves whole categories of crypto assets, and the infrastructure behind training models (compute, data) is itself becoming a target for tokenization.
Key intersections between AI and crypto
AI agents and autonomous transactions — LLM-based programs that don't just answer questions but independently interact with smart contracts and take actions on-chain (see AI Agent and MCP — a protocol increasingly used to connect agents to external tools).
Algorithmic AI trading — models that process market data and news to make trading decisions faster than a human, though without any guarantee of results (more on this in the FAQ below).
Automation through smart contracts — combining AI analysis with smart contracts and DeFi protocols makes it possible to automate entire trading and lending strategies without a human in the loop at every step.
Scams and deepfakes — the same technology that helps analyze markets is also used to produce fake videos of well-known people giving "investment advice" — as generative models improve, this risk grows right along with them.
The AGI question — talk of Artificial General Intelligence directly shapes sentiment across the AI sector of the crypto market, even though its actual timeline remains disputed.
Frequently Asked Questions About AI and Crypto
What's the difference between AI and a regular algorithm?▾
A regular algorithm follows pre-written "if this, then that" rules. AI — neural networks in particular — learns patterns from data during training and then applies them to new examples it has never seen before, which is why the same LLM can answer questions nobody explicitly programmed it to handle.
What is an AI agent in a crypto context?▾
An AI agent is an LLM-based program that doesn't just answer questions but autonomously carries out multi-step actions — analyzing the market, interacting with smart contracts, executing on-chain transactions. That's what separates it from a chatbot: an agent acts, it doesn't just respond.
Can AI predict cryptocurrency prices?▾
AI is good at finding statistical patterns in historical data and can process huge volumes of news and on-chain metrics faster than a human — that helps with analysis. But the crypto market reacts to unpredictable events (regulatory decisions, hacks, an influential person's tweet) that can't be derived from past data, so no model offers a guaranteed price forecast.
Is it safe to let AI manage crypto assets?▾
AI tools (bots, agents) are useful for routine tasks like rebalancing a portfolio by predefined rules, but handing over full control without oversight is risky: a model can make mistakes, and scammers frequently dress up phishing schemes as "AI trading with guaranteed returns." The sensible approach is to use AI as an assistant with clear limits, not as an unsupervised autonomous manager.
What is AGI, and when should we expect it?▾
AGI (Artificial General Intelligence) is a hypothetical system able to handle any intellectual task at a human level, unlike today's models, each of which is tuned for a specific type of task. There's no firm timeline for AGI — researcher estimates vary by decades, and it remains an open debate in the industry.