Video course · 14 chapters · 92 min · certificate
How AI Agents Will Replace Tasks - And How You Can Build Your Own
A Boss Code conversation on AI agents and decentralised AI: why decentralisation matters, closed vs open-source LLMs, what an agent is and how to build one, creator agents, ownership and data safety, when everyone can build agents, competing with agents, rogue agents and regulation.
What you'll learn
- Define AI agents
- Explain decentralised vs centralised AI
- Compare closed and open-source LLMs
- Outline how to build your own agent
- Weigh ownership, data and rogue-agent risks
- Discuss careers and regulation in an agent world
Chapters
14 chapters · 92:27-
2:30
01Intro Members
Trailer and intro
More agents than humans.
-
6:08
02Decentralisation Members
Why decentralised AI
A hackathon story.
-
12:29
03Users Members
Do end users care?
Centralisation trade-offs.
-
3:28
04Closed Members
Problems with closed-source LLMs
Data concerns.
-
4:41
05Open source Members
Using open-source LLMs
Build decentralised apps.
-
7:54
06Agents Members
What an AI agent is
Data, compute, LLM.
-
3:02
07Creators Members
Agents for creators
Gary Vee.
-
4:35
08Ownership Members
Unauthorised agents
Someone copies you.
-
2:42
09Data Members
Data safety with open-source LLMs
The recipe.
-
4:52
10Timeline Members
When can everyone build agents?
Your own AI company.
-
16:41
11Mindset Members
Why Matt is ahead
Wired for it?
-
7:53
12Careers Members
Can humans compete?
A new paradigm.
-
5:42
13Safety Members
Rogue agents
Can they be stopped?
-
9:50
14Regulation Members
Can governments regulate agents?
Paradigm shifts.