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
Jul 17, 2026Hugging Face
Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers
↗Jul 17, 2026Hacker News (AI)
The state of open source AI
↗Jul 17, 2026Hacker News (AI)
Claude Code: Anatomy of a Misfeature
↗Jul 17, 2026OpenAI
A scorecard for the AI ageSarah Friar, CFO of OpenAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.
↗Jul 17, 2026arXiv cs.AI
Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and RescueThis paper presents a novel three level hierarchical learning architecture for autonomous UAV swarms performing search and rescue operations. Unlike conventional approaches that apply a single learning paradigm across all hierarchy levels, the proposed architecture integrates three qualitatively different learning mec…
↗Jul 17, 2026arXiv cs.AI
HG-RAG: Hierarchy-Guided Retrieval-Augmented Generation for Structured Knowledge GraphsRetrieval Augmented Generation (RAG) has proven to be a widely successful process at improving the quality of outputs from a Large Language Model (LLM) for wider context. However, RAG systems typically retrieve context from flat document stores, which struggles when queries require hierarchical or relational reasoning…
↗Jul 17, 2026arXiv cs.AI
IMEX Interaction-Based Model ExplanationIn predictive modeling, the ability to explain why a model produces a given target prediction has become increasingly important [5, 10]. Black-box models do not provide a transparent description of the internal mechanisms that generate the prediction, making even accurate predictions difficult to interpret and validat…
↗Jul 17, 2026arXiv cs.AI
RegNetAgents: A Multi-Agent Framework for Cross-Network Regulatory Driver Identification in Cancer GenomicsWe introduce RegNetAgents, an AI-oriented multi-agent framework for structured, query-driven regulatory candidate identification across heterogeneous gene regulatory networks. The system enables unified analysis of bulk tumor and single-cell-derived ARACNe networks by integrating TCGA-derived cancer networks with larg…
↗Jul 17, 2026arXiv cs.AI
DialogueVPR: Towards Conversational Visual Place RecognitionInspired by how humans communicate spatial information, language-guided geo-localization has gained significant traction for its intuitive and practical value. Despite this progress, most methods still rely on a static, one-shot retrieval paradigm, which fails to handle the ambiguity and incompleteness inherent in rea…
↗Jul 17, 2026arXiv cs.AI
Interpretable Language Model for Closed-Loop Type 1 Diabetes ControlType 1 Diabetes (T1D) is a chronic, life-threatening autoimmune condition characterized by the complete destruction of insulin-producing pancreatic beta cells. While Artificial Pancreas Systems (APS) powered by Reinforcement Learning (RL) have shown promise in automating insulin delivery, their ``black-box'' nature ma…
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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.