AI
News and analysis on artificial intelligence in crypto and blockchain — ChatGPT, AI trading, neural networks, generative models.
AI terms glossary →Latest AI coverage
The case against guardrails, and the three counts we already have
Suno added speech two weeks after UMG added 60,202 songs to its claim
Gemini 4 Argon arrives 333 days after the last flagship, and you cannot use it
Google's search earns a publisher's whole yearly payment every 140 seconds
Grokipedia is checking Musk's page hourly and Honolulu's once in seven months
OpenAI pulled a flagship for deception. Guardrails would miss two of three
Anthropic files to spend $518bn, and the market moved 2%
Nvidia put the agent watchdog in the wire, not in the software
Amodei dined at the White House two days after losing to the Pentagon
Meta gave half a million people a Linux machine in seven days
AI comedy is mostly quotation, and 11% would accept a datacenter nearby
Microsoft bills Copilot by usage and ships a spend governor with it
Lightspeed halves its India fund, and 64% of the money never came from it
Meta's keychain AI ships in December. The price and the battery are unknown
ChatGPT Ads hit $1bn run rate in 200 days and opened seven more markets
Gemini 4 is coming much earlier than year end. The last date named was June
Meta's agent got an avatar. The business is a fee on transactions
AI stops where checking gets expensive
AI dictation: 95% accuracy advertised, 8-12% word error measured
Police AI is bought on minutes saved and audited on who got arrested
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.