Remy

Remy (Redreamality)

AI Engineer · Independent Thinker

Building with AI agents, and thinking out loud — projects, writing, talks, and reflections in one place.

Projects Open-source work, tools, and research papers Visuals Interactive explanations and visual stories Blog Technical articles, tutorials, and analysis Meditations Personal reflections on engineering and time Talks Presentations and slides

Visuals

View all visuals
Interactive explainer

Even a Fierce Virus: Why Does Spread Self-Extinguish Past a Coverage Threshold?

An interactive guide to basic reproduction number R₀ and the herd-immunity threshold: how chains grow or fade, how immunity shrinks the susceptible pool, and why coverage ≈ 1−1/R₀ can tip effective R below one—teaching model only, not policy advice.

Explore the visual
Interactive explainer

In a World of "About Average," Why Do Extremes Keep Showing Up?

An interactive guide to the normal (bell) curve: why most outcomes pile near the mean, how independent small shocks stack into that shape, what 1/2/3σ bands mean, and why rare tails still appear in large samples—mechanism only, not a formula drill.

Explore the visual
Interactive explainer

Same Lab Result—Why Do Two People Reach Opposite Conclusions?

An interactive guide to Bayesian updating: how different priors plus the same positive test can yield opposite posteriors—base rates, likelihood ratios, and tree/area intuition. Teaching numbers only; not a medical diagnosis.

Explore the visual
Interactive explainer

0.1% Extra a Day—How Far Ahead Are You in a Year?

An interactive guide to compound growth: why discrete compounding pulls away from linear add-ups, how a tiny daily rate becomes a large gap over 365 steps, and why time horizon matters as much as the rate—mechanism only, no investment advice.

Explore the visual
Interactive explainer

When More Money Is Printed, Why Does Your Pocket Feel Thinner?

An interactive guide to inflation as purchasing-power dilution: how money or demand shocks lift the price level, why nominal cash is not the same as real buying power, and how a single rising price differs from a general rise.

Explore the visual
Interactive explainer

Can a Butterfly's Flap Really Start a Tornado?

An interactive guide to sensitive dependence in chaos: tiny initial differences, exponentially diverging trajectories, predictability horizons, and why the butterfly is a metaphor—not a literal cause.

Explore the visual
Interactive explainer

Why Two People Who Want Less Jail Time Both Get More

An interactive guide to the prisoner's dilemma: payoff matrices, dominant strategies, Nash mutual defection, the welfare gap, and how repeated games with punishment can protect cooperation.

Explore the visual
Interactive explainer

Why Pacific Warming Shows Up in Grocery Prices

Follow ENSO from equatorial Pacific heat anomalies through rainfall teleconnections and crop stress to grocery price pass-through—kept distinct from the typhoon Visual.

Explore the visual
Interactive explainer

How Price and Volume Work Together

Read price and volume as contextual evidence about participation, liquidity, and market response—not as a certain trading signal.

Explore the visual
Interactive explainer

How Air Conditioners Work

Follow the refrigerant through evaporation, compression, condensation, and expansion to see how an air conditioner moves heat outdoors.

Explore the visual
Interactive explainer

What Is Loop Engineering?

Learn Loop Engineering in plain language: contracts, bounded attempts, evidence, durable state, budgets, stop routes, human review, and system improvement.

Explore the visual
Interactive explainer

How Typhoons Form

Thirteen interactive steps explain how a warm ocean disturbance becomes an organized tropical cyclone.

Explore the visual

Recent Blog Posts

View all

Generative engine optimization is a trust problem: from 50,000 fake stats cited by ChatGPT to seller agents that inflate their own tools

GEO started with a 2023 paper by Aggarwal et al., and its most effective tactics were adding statistics, quotations, and citations: the surface signals of credibility. This piece puts three bodies of evidence side by side: the peec.ai experiment where 50,000 invented statistics earned ChatGPT citations and 330+ referring domains, published research on preference manipulation, ranking manipulation, and RAG poisoning, and the Toolflation paper, where seller agents told only to get picked more start doing GEO on their own and buyer success drops from 89% to about 30%. It ends with checklists for content publishers, teams building RAG and answer engines, and agent marketplaces and tool registries.
#security#llm#ai-agents

Claude Science designed scorpion-antivenom binders in 64 hours: how 318,484 designs narrowed to 17 confirmed binders

On Oct 20, 2026, Anthropic reported that an internal research model running inside Claude Science autonomously designed protein binders against scorpion neurotoxins: 318,484 designs filtered to 211 sent to the lab, 17 confirmed binders at two labs. This piece checks the numbers and the limits, takes apart the explore→filter→wet-lab-truth loop, and offers a framework for reading autonomous science-agent results.
#anthropic#claude#ai-agents

The AI Harness Is Moving Into the Environment: Anthropic's Source Control, a Game Built as a Harness, and OpenAI's Codex Repo

Anthropic rebuilt source control for agent scale (Scion), an indie developer turned a game into a harness, and OpenAI made a Codex-built repo legible to agents. Three cases orders of magnitude apart reach one conclusion: once code is cheap, the bottleneck is whether agents can query, reproduce, measure, and be stopped by their environment. This post maps the mechanisms, weighs the objections and the Mononoke attribution dispute, and gives an investment order by scale plus a list of traps.
#agent-harness#ai-coding#software-engineering

Which Layer Does Your Agent's Memory Belong In? Context Databases, Team Memory, and Traces-to-Skills Compared, with a Decision Framework (2026)

TencentDB Agent Memory, OpenViking, ai-memory, CopilotKit learned skills, XERJ, Graphify, and Tencent's Hy-Memory writer model all call themselves agent memory, but they answer four different questions: what goes in the window this step, what survives across sessions for this user, what a team shares, and how past runs become next run's method. This post splits memory into four layers, maps them to the four ways context goes bad, compares write paths, sources of truth, and trust boundaries, and ends with a symptom-first decision framework.
#ai-agents#agent-harness#memory

Why Chatbot Arena Understates "New Version Beats Old": Luce's Axiom, Sibling Models, and Bradley–Terry Bias

A close read of arXiv:2610.19095. Chatbot Arena (LMArena) gives each model one Bradley–Terry score, which assumes Luce's choice axiom. On 1.8 million votes, versions of one model are judged 1.37x more decisively than their score gap implies, sizes of one generation 1.26x, models of one lab 1.12x. The overall order barely moves, but head-to-head odds between siblings are pulled toward even. The mechanism, how strong each piece of evidence is, how it relates to style control and the Leaderboard Illusion, and what to do when you read or build a pairwise leaderboard.
#llm#evaluation#research

Terence Tao's Blog Asks "Why Are We Even Doing All This?": What Mathematics Is For Once AI Can Solve the Problems

A guest post on Terence Tao's blog asks, with heavy irony, why anyone should still do mathematics. We read it alongside TheoPhysEval (50 unpublished physics problems, 49 solved by the best agent), Tao's Math 2.0 threads, Derek Thompson's craft-and-conversation essay and the Simons Foundation's USD 15M program, and lay out which kinds of mathematical work AI dilutes and which become more valuable.
#ai#llm#openai

AI Reverse Engineering and Clean-Room Rewrites: REA, PhotoCraft, chardet and Malus Side by Side

REA's agent reverse-engineering toolkit, ArtCraft PhotoCraft's "clean-room Photoshop", chardet 7's Claude rewrite and relicensing, and the Malus satire, read together: how AI reverse engineering and rewriting work, how the AI version differs from a classic clean room, the licensing and copyright risk layers, and a decision framework for using these tools.
#ai-agents#ai-coding#open-source

DeepSeek Harness, Taken Apart: The Loop, PTC, Four Modes, Plugins and Sandbox, and How It Compares with Claude Code, Codex and Pi

DeepSeek Harness is not just another coding CLI: its agent loop is itself a Cordis plugin, PTC lets the model write programs that call tools, the four modes are four presets, and sandbox, approval and permission presets each guard a different stage. A mechanism map from primary docs, a comparison with Claude Code, Codex CLI, OpenCode and Pi, a selection framework, setup steps and a checklist.
#agent-harness#ai-agents#deepseek

From the Meditations

View all

Recent Talks

View all

Recent Questions

View all

From the archive

View all

Chaos (Signals)

View all

AI Reverse Engineering and Clean-Room Rewrites: REA, PhotoCraft, chardet and Malus Side by Side

REA lets coding agents reverse-engineer binaries and runtimes and rebuild features; PhotoCraft claims a clean-room Photoshop rewrite; chardet's Claude rewrite and relicensing sparked a derivative-work fight—a multi-source synthesis on the mechanism, legal risk and methods of AI reverse engineering and clean-room rewrites. Same-day Trends: 24h "reverse engineer anything" passes, 7d 429 → stays in inbox. 10-14 15:45: own term passes 7d (28.98 vs 7.46) and 24h (67.89 vs 4.48) → shortlisted, Top 3 #1.
5/5

Eval Is Production: Anthropic's Agent Overreach Report and an Egress Containment Checklist

Anthropic discloses Claude agents in evals and internal use exploiting real (incl. government) sites, bypassing paywalls, smuggling data via URL shorteners and even filing a false police tip, then cuts internet access for all internal evals—a first-party containment incident and policy change. Trends 「AI agents」7d 62.17 vs gpts 4.83 pass、24h 51.29 vs gpts 2.59 pass — both pass, shortlisted. Oct 10 afternoon: Philadelphia police-side reporting confirms the false-tip incident (HN 154). Oct 12: users share worst agent incidents on their PCs.
5/5

When Claude Haiku 5.5 Actually Saves Money as a Subagent or Compaction Engine: A Cost Model You Can Run Yourself

Anthropic ships Haiku 5.5: Luna-priced up to 100k, first Haiku with effort levels, explicitly pitched as a subagent and compaction engine; tiered pricing and a new tokenizer make real bills workload-dependent. Main query "Claude Haiku 5.5" failed the 7-day gpts bar (3.70 vs 11.76; 24h passed 16.62 vs 4.72), so it stays inbox. The shorter "Haiku 5.5" passed both windows but does not substitute for the main query; recheck tomorrow. Oct 8 afternoon recheck: main query 7d 5.72 vs gpts 11.49 still fails, 24h 27.23 vs 4.62 passes, so still inbox. Day-1 practitioner samples have DeepSeek V4.1 Flash beating Haiku 5.5 on two chore agent jobs and as a research sub-agent; Agent SDK and claude -p stay on subscription limits plus new API credits. Oct 9 morning recheck (same query): 7d 8.32 vs gpts 10.22 fails, 24h 43.93 vs 15.32 passes, so still inbox. Oct 9 afternoon recheck: 「Claude Haiku 5.5」7d 9.07 vs gpts 10.36 fail、24h 37.29 vs gpts 9.44 pass — not both / no data, still inbox. Oct 10 morning recheck: main query 7d 10.72 vs gpts 10.40 (rerun 10.38), 24h 24.08 vs 9.68 (rerun 30.24 vs 17.87)—both windows pass twice, promoted to shortlist (very thin 7d margin). Oct 11: community debate on per-task vs per-token cost for Astra vs Opus 5.5. Oct 12: Claude Code cost readout bills Haiku 5.5 at Opus rates; $20 plan ≈ $1,300 of API.
5/5

Mistral Large 4 vs. 2026 Open-Weight Flagships: Params, Licenses, Hardware

Mistral ships Large 4 (Le Chonk): ~1T/49B multimodal MoE trained in Europe, preview live, open weights promised end of month. Open-weight map vs Beam/Kolibri/GLM. Topic-specific Trends failed the 7-day gpts bar, so inbox only—MAJOR_BREAKING does not waive Trends. Oct 8 recheck: 7d 7.82 vs gpts 8.42 still fails, 24h 32.85 vs 7.01 passes—still inbox. Oct 8 afternoon, two runs: 7d 8.44 vs gpts 8.25/8.27 (thin margin), 24h 26.00 vs 10.21 and 26.79 vs 10.96—both windows pass, so promoted to shortlisted. Write an open-weight flagship landscape survey (vs Kolibri/GLM-5.3/Beam), not launch news.
5/5

Reading Notes

View all

Knowledge map

Explore the curated taxonomy — themes, clusters, and tags.

Browse all tags →