There are 5 types of controls in InfoSec: Preventative Detective Corrective Recovery Deterrent Agents are irritating if you don’t give them access, really I don’t want the agent to be able to remove files from git but it finds a way when given the ability to add and commit. So whilst I’m figuring out how to set up solid preventative controls AND not lose my mind with approvals I’ve set up a recovery control.
It’s a trap!
Links I collected last summer on Reasoning - large amount LLM links but it goes past that into what is reasoning and the cognitive link (I missed Active Inference!)
This has been a fun morning of investigation into how I can replace my broken Tello and get into RL for Drone Training 🤓🤓
As a Dad of two young girls this is nothing short of excellent news.
Looking back through my conversation with Gemini about Dynamic Programming (DP) and Constraint Satisfaction Problems (CSP) that opened the door to Contingent Planning.
Building on the last post I’ve been reminding myself what a lexicon is and how they are used in areas other than a compiler…
A kit for constructing a language!
This is worth repeating often as it is easy to conflate the two when caught up in other priorities.
Incremental means add onto; Iterative means revise
Incremental means add onto. It helps improve the process.
Iterative means revise. It helps improve the product.
this could be repeated daily.
This is so damn wholesome - a 13 year old kid, talking to one of the greatest rugby players ever and getting some great life advice whilst having a chuckle!! Never undervalue the grunt work to make string foundations. www.facebook.com/story.php This is golden advice on being a good captain and the most important part of leadership !! www.facebook.com/share/r/1…
Got a fun and interesting challenge ahead. Looking to refine my intuition/thinking/knowledge of search spaces and online search/planning. I think the homoiconic nature of Lisp could unlock online search/planning and full autonomy (see matt.thompson.gr/2026/01/1…) To be clear, an agent that produces valid Lisp, verified by a lisp parser guard , is a step forward. The context would be something like: “Here’s the macros for AtomicGuard/Dual State Action Pairs: ….” The original specification would be the goal from a human (an action pair may produce decomposed goals in the form of specification to meet the original goal specified).
Working definitions to track and build into the documentation of my research. Generally they are included in the framework or extensions, though I need to learn more about Markov Blankets as I think that could be a boundary between the two state spaces. What the agent can sense and take action on. Otherwise this post is in an order that has trial logic, both in growing on the initial agency through to planning and learning - potential full autonomy.
A rough comparison of AtomicGuard and Active Inference - are they opposite sides of the act-sense loop?
A well formatted and concise overview of deep learning from the calculus of 1676, when Gottfried Wilhelm Leibniz please blushed the chain rule to the RL-based NN advancements by DeepSeek in 2025.
Nice article on the bridge between set theory and computer science (which I’d always thought was there! 🙃) A New Bridge Links the Strange Math of Infinity to Computer Science Also helped remind me what the axiom of choice is; an arbitrary choice that acts as a junction between rule based decisions. I still have to understand the actual algorithm as it seems handy to be able to label infinite nodes so that they do not locally conflict… 🤔🤓
I’ve been digging into paraconsistent and paracomplete logics and hit a useful tangent Foundational Theories and Philosophical Lenses for Maths and Computer Science
Nice to be aware of my bias and the core details of other ways to look at Maths and CS.
The challenge of contradiction in logic Different starting points of theories that contain contradictions all collapse to the same trivial theory in classical logic. The trivial theory is a bullshit theory that says everything must be true. Trivial is not a term to say it is easy… Rather it’s a term that implies inconsistencies and is pejorative meaning the theory is a mess and useless. Contradiction example The “Penguin Problem”:
Intentions for Math and Philosophy manifest in an unexpected way
Rough work to be made clearer Domain Table Scope Symbol Name Formal Definition State Space Composite S System State S = S_workflow × S_env (Def. 1) Control S_workflow Workflow State {σ | σ : G → {⊥, ⊤}} — truth assignments tracking guard satisfaction Information S_env Environment State 𝒜 × 𝒞 (Def. 1, Eq. 3) Workflow Components Static G Guard Set {g₁, …, gₙ} — unique guard identifiers Dynamic σ Current State σ : G → {⊥, ⊤} — specific truth assignment Function T Transition Function T(s_w, ⊤) = s_w[g_id ↦ ⊤]; T(s_w, ⊥) = s_w (Def.