12/ The long-term vision is not just a bigger model
It is an adaptive cognitive architecture: a system with perception, memory, curiosity, action, prediction, and self-directed learning built into the structure itself
A model that keeps learning because learning is part of how it operates
1/ In order to test PRSM, we’re working on a brain-inspired AI architecture built around continuous learning, not static training
The goal is a system that can perceive, predict, remember, reason, act, and improve over time across different environments
11/ From there, we can expand outward step by step
After bullet hell games, we can move into top-down action games, platformers, puzzle games, survival/crafting environments, and eventually more open-ended 3D worlds
Each step adds a new challenge — navigation, physics, causality, planning, memory, or long-term goals — while testing whether the same core architecture can keep adapting
Opus 4.8 just released with a new feature that allows us to modify the system prompt without losing token cache or restarting the session so we don't have to decide between instruction coherence and cost
This is huge for PRSM where state transitions involve dynamically swapping system prompts to communicate the new workflow
They literally want to see us win
The MCP tool dispatcher got rewritten. The prompt cache now stays warm across state transitions instead of busting on every tool surface change. Massively cheaper, massively faster.
And the skill-selection system pulls from a library of nearly 200 imported skills, picking per-agent recommendations from project facts. Every spawned agent comes per-equipped for its actual job.
Until now PRSM only ran structured workflows with explicit governance gates. We added a freeform lane. Less-governed agents for open exploration, research, consultation. They can then be promoted into a structured initiative if the work pans out.
You don't always know up-front whether a question deserves a full workstream. Freeform lets you start loose and tighten only when there's something worth executing on.
PRSM grew an apps framework. External processes (personal assistant, digest, mail bridge) now boot independently and self-register with the engine, announcing their tools. Engine stays narrow, orchestration only. Apps own their own concerns.
Adding a new capability went from "fork the engine" to "ship a separate binary that registers on startup." That's the unlock for an ecosystem.
I've been spending a lot time trying to keep up to date with the latest news in AI. Then I thought what if I automated the search and digestion process based entirely off of my interests as a twice-daily digest.
I built the entire thing with #PRSM
Subscribe if you're interested: https://t.co/Nt6xnLdaQb
Just posted my first public digest: https://t.co/AhAW2uYjxM