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 06, 2026Hugging Face
Five labs, five minds: building a multi-model finance drama on small models
↗Jun 06, 2026Hacker News (AI)
Meta confirms 1000s of Instagram accounts were hacked by abusing its AI chatbot
↗Jun 06, 2026Hacker News (AI)
Police in England and Wales told to halt AI use in court statements
↗Jun 06, 2026Hacker News (AI)
US House lawmakers release draft bill to prohibit state AI rules
↗Jun 06, 2026arXiv cs.AI
How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field ExperimentThis study analyzes a publicly released dataset from a discontinued field experiment on Reddit's r/ChangeMyView. The intervention, conducted by unknown, external researchers and halted following ethical backlash, involved undisclosed AI-generated accounts engaging users in live debate. After public disclosure, Reddit…
↗Jun 06, 2026arXiv cs.AI
What Should Agents Say? Action-state Communication for Efficient Multi-Agent SystemsMulti-agent systems (MAS) built on large language models are typically organized around roles, pipelines, and turn schedules, while the content that agents pass to one another is often left as unconstrained natural language. However, this free-form communication can rapidly inflate token usage, consume the shared cont…
↗Jun 06, 2026arXiv cs.AI
I Know What You Meme, Even If it Emerged Today: Understanding Evolving Memes through Open-World Knowledge AcquisitionMultimodal memes are dynamic and often require up to date background knowledge for interpretation. Existing methods often overlook such knowledge or rely on fixed parametric knowledge of pretrained models that may be incomplete, outdated, or unavailable for emerging memes. We introduce Query Retrieve Conclude, a zero…
↗Jun 06, 2026arXiv cs.AI
GITCO: Gated Inference-Time Context Optimization in TSFMsPatch-based Time Series Foundation Models (TSFMs) suffer from context poisoning: structurally anomalous patches capture disproportionate attention and silently degrade zero-shot forecast quality. We propose improving TSFM accuracy at inference time by optimizing the input context rather than modifying model weights. W…
↗Jun 06, 2026arXiv cs.AI
Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment for Circular FactoryReturned products in circular factories re-enter production with heterogeneous degradation states, usage histories, and remaining capability. Reuse cannot be decided from the current inspection alone, because future function fulfillment and component integrity may evolve differently under the next service scenario. Ex…
↗Jun 06, 2026arXiv cs.AI
SentinelBench: A Benchmark for Long-Running Monitoring AgentsAI agents are increasingly asked to carry out work that spans minutes, hours, or longer. Yet the default model of agent behavior is continuous action: issuing tool calls, refreshing pages, searching for alternatives, or otherwise trying to force progress. This is the wrong approach for many long-running tasks, which a…
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See all News →
§ 02

Notes

Field notes
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

Voices I keep
“
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

In motion

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

About this daily

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.