The AI-Pilled Daily

The AI world keeps moving.I'm watching it for you

Carol·Carol · AI product · toolmaker
See today's signals →Talk to my digital twin →
§ 01

News

What happened in AI today
Jun 02, 2026arXiv cs.AI
Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under PerturbationsMixed-Integer Linear Programming (MILP) decision engines routinely output nominally optimal plans for high-stakes industrial systems. Yet deployment rarely matches solve-time assumptions: small perturbations in costs, demands, or resource availability can invalidate feasibility or trigger discontinuous shifts to quali…
↗Jun 02, 2026arXiv cs.AI
Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic SynthesisWe present the Consilium Protocol, a Byzantine Fault Tolerance-derived architecture for structured multi-model AI deliberation that treats inter-model disagreement as epistemic signal rather than error. The protocol assigns engineered cognitive personas to language models -- separating what a model is from how it reas…
↗Jun 02, 2026arXiv cs.AI
Deliberative Curation: A Protocol for Multi-Agent Knowledge BasesAs AI agents transition from isolated tools to collaborative participants in shared knowledge ecosystems, governing collective knowledge curation becomes a critical challenge. Human platform governance mechanisms do not transfer directly: agent statelessness undermines deterrence-based sanctions, model homogeneity vio…
↗Jun 02, 2026arXiv cs.AI
Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular OptimizationMulti-objective molecular optimization requires searching vast chemical spaces under conflicting objectives, where early design decisions strongly constrain downstream outcomes. Existing methods typically rely on a single policy or fixed scalarization, which limits their ability to represent diverse trade-offs and to…
↗Jun 02, 2026arXiv cs.AI
Optimal Transport-based Permutation-Invariant Bayesian Optimization of Offshore Wind Farm LayoutsBayesian Optimization (BO) is widely and successfully adopted for solving optimization problems having an expensive-to-evaluate, black-box, and non-convex objective function. However, the vanilla BO algorithm is not able to exploit possible symmetries characterizing the target problem. An intuitive case is given by op…
↗Jun 02, 2026arXiv cs.AI
MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward AttributionTraining language model agents for multi-agent strategic interaction presents a core difficulty: the quality of any action may depend on future events that never materialize, on moves that violate game rules, or on decisions made by other players. Standard reinforcement learning assumes that rewards can be assigned at…
↗Jun 02, 2026arXiv cs.AI
Universal Quantum TransformerClassical continuous-space neural networks fundamentally struggle to lock into exact mathematical symmetries, such as modular arithmetic and non-commutative algebra. To approximate these discrete logical rules, they often rely on massive parameter scaling, resulting in stochastic instability even after delayed general…
↗Jun 02, 2026arXiv cs.AI
Grokers: Bottom-Up Inductive Comprehension and Write-Time Intelligence over Typed Knowledge GraphsWe present Grokers, an architecture for building persistent, structured comprehension of typed knowledge graphs through bottom-up inductive traversal of dependency subgraphs. Unlike retrieval-augmented generation (RAG), which pays full comprehension cost at every query, Grokers pushes intelligence to write time: auton…
↗Jun 02, 2026OpenAI
Codex is becoming a productivity tool for everyoneThe Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and content creation.
↗Jun 01, 2026OpenAI
Our views on AI policy and political advocacyOur approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on the company’s behalf.
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See all News →
§ 02

Notes

Notas de campo
May 22, 2026Essay
Why model hallucinations aren't bugs — they're pricing signals
→May 19, 2026Note
A few product observations on the new Claude docs UI
→May 15, 2026Essay
The thing that needs redesigning in AI apps isn't the UI — it's the feedback loop
→May 11, 2026Note
An angle on Cursor's business model that no one's talking about
→May 07, 2026Essay
Three misreadings of "the agent is the product"
→May 03, 2026Note
A passage from Karpathy worth re-reading this weekend
→
§ 03

Perspectives

Vozes que guardo
“
Software 1.0 is hand-written code; Software 2.0 is the weights of neural networks; Software 3.0 is the prompt.
Andrej KarpathySoftware 3.0, May 2026
My takeA neat taxonomy, but it understates the conversion cost. Translating an SOP into a prompt is far harder than translating pseudocode into code — what you have to capture is tacit knowledge, not explicit logic.
“
The most durable skill of this era is learning anything you want to learn.
Naval RavikantAlmanack, 2020
My takeTrue ten years ago, even truer today. When tools have a half-life of 18 months, the transferable meta-skills are where the real compounding happens.
§ 04

Plans

Em curso

Carol's Website

Built this site in two days with Claude Code — a full idea-to-product exercise. You're looking at it.

Shipped · 2026

The Big Inventory of AI Products

A taxonomy I built in late 2025. Quietly bookmarked by a handful of friends since.

Shipped · 2025

AI Product Weekly

A curated weekly note: things I noticed, things I changed my mind on, things worth re-reading.

In Progress

Digital Twin Agent v2

Upgrading from system-prompt context to RAG + conversation history. Make the twin actually answer for me.

Exploring
§ 05

About

Sobre esta publicação

Tsinghua undergrad · AI PM @ major tech co · 100M+ user product growth · AI-pilled

I'm Carol. By day I build AI products; by night I write down the people, ideas and observations I want to keep. This isn't a blog — it's closer to an AI-pilled daily, kept open to whoever finds it useful.

AI gives us more information and less judgement. So this daily walks through it for you, then keeps the part I actually wanted to say after reading it. Each piece should be worth reading twice.

If you're also thinking about AI in relation to product, expression, or the shape of your life, drop a contact — or just talk to my digital twin.