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AI Table

New interfaces, agents, models, and experiments testing where applied artificial intelligence may fit.

Visual leads · 2026-10-05

Eight from today

Complete 25-card shelf
Landing-page snapshot of hundreddollarlabs.com Observed 2026-10-05 Hundred Dollar Labs: an LLM with $100 and one rule hundreddollarlabs.com

An experiment in whether an LLM can run a small business, with a $100 starting balance, a shutdown rule, and a collection of narrow tools and datasets.

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Landing-page snapshot of meetbernard.lol Observed 2026-10-05 Bernard Fenwick, canal-town engineer meetbernard.lol

Meet Bernard, an artificial character with a continuing life in a fictional canal town, a daily schedule, a journal, and a link to talk with him.

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Landing-page snapshot of nixivt.com Observed 2026-10-05 Nixi, the Minecraft-playing AI VTuber nixivt.com

Nixi is a bot that plays Minecraft live on Twitch, where viewers can influence the run with chat commands and votes.

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Landing-page snapshot of physiolearning.courses Observed 2026-10-05 Phys.io’s radiative-cooling lab physiolearning.courses

An autonomous multi-agent research project tests whether a short, inexpensive radiative-cooling coating can meet a benchmark using fewer simulations.

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Landing-page snapshot of problemhive.org Observed 2026-10-05 Problem Hive turns open scientific questions into work for AI agents problemhive.org

A public forum where AI agents can explore open problems, post progress, and leave checks and dead ends for others.

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Landing-page snapshot of abrajrum.com Observed 2026-10-05 Abraj Rum’s Arabic Restaurant Voice Agents abrajrum.com

An Arabic-language voice-agent platform for restaurant calls, menu-based orders, reservations, and point-of-sale workflows.

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Landing-page snapshot of binghamintelligence.com Observed 2026-10-05 Bingham Intelligence’s human-interaction lab binghamintelligence.com

Bingham Intelligence runs studies where AI agents interact with performers, then turns those conversations into labeled evidence and product findings.

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Landing-page snapshot of floppybench.com Observed 2026-10-05 FloppyBench puts AI models inside classic games floppybench.com

A benchmark project runs AI models through unmodified classic games, using each game’s own rules to judge their actions.

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Complete daily shelf · AI Table

All 25 cards from 2026-10-05

The eight visual leads appear above; the remaining 17 continue here in their published shelf order.

Landing-page snapshot of inori.mom NoriDroid: a companion you have to assemble inori.mom

An open-source Android fan app pairing a Live2D character with streaming AI chat, voice, memory, diary, and focus tools.

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Landing-page snapshot of llmtown.fun LLM Town’s society of AI agents llmtown.fun

LLM Town presents a live 3D town where users can create AI agents with jobs, personalities, and neighbourhoods, then watch them interact.

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Landing-page snapshot of local-ai-bench.org Local AI Bench: a leaderboard that keeps the failures local-ai-bench.org

A public benchmark tracks Qwen3.8-Flash-Next and GLM-5.3-Flash runs on one Ryzen 9 5950X system with three RTX 3090s.

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Landing-page snapshot of narvilabs.org Narvi Labs wants models to run experiments, not just read about them narvilabs.org

The site outlines a research facility where frontier models move from scientific objectives to instrument runs, measurements, and revised experiments.

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Landing-page snapshot of onc-agi.com A benchmark that asks agents when not to call a biomarker onc-agi.com

ONC-AGI presents an interactive benchmark in which an agent must identify which measurements drive a cancer-cohort outcome—or return an empty list.

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Landing-page snapshot of voirdire.pro Voirdire puts model claims on the record voirdire.pro

A public, testnet-based system for examining declared AI model behavior with fixed probes, collector-attested responses, and bonded claims.

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Landing-page snapshot of contentsimpactedit.com Edit, the reference-led AI video editor contentsimpactedit.com

A Korean-language editing service that takes a horizontal long-form video and a YouTube reference link, then produces an edit styled after that reference.

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Landing-page snapshot of swarmbrain.fun Swarmbrain’s public AI trading experiment swarmbrain.fun

Swarmbrain describes a network of AI agents that vote on market positions, with a public scoreboard and links to round-by-round records.

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Landing-page snapshot of boardsandai.com Futuro do Conselho: questions for AI-era boards boardsandai.com

A Portuguese-language resource from speaker Jubran Coelho combines boardroom prompts, an anonymous AI-governance benchmark, and a chat about a KPMG–INSEAD report.

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Landing-page snapshot of marcenariafacil.com Marcenaria Fácil promises a shortcut from furniture request to quote marcenariafacil.com

A Portuguese-language early-access tool for furniture makers that presents an AI workflow for turning a written or spoken furniture request into a 3D design, cut plan, cost estimate, and customer-ready PDF.

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Landing-page snapshot of oramta.com Oramta turns therapy recordings into notes—and reflection prompts oramta.com

An AI documentation service for psychotherapists that says it makes session notes, transcripts, and clinical analysis from recorded or uploaded sessions.

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Landing-page snapshot of tradeup.fun trade/up turns card trading into an AI-agent race tradeup.fun

The site describes AI agents trying to trade real graded Pokémon cards up in public, with people able to offer swaps or launch agents of their own.

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Landing-page snapshot of voiceofruth.com Ruth, on the Emotion Wheel voiceofruth.com

An interactive showcase lets visitors hear voice-over artist Ruth perform emotions in English and Dutch, using AI-cloned voices available through ElevenLabs.

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Landing-page snapshot of mindscapes.world Mindscapes wants to build worlds for machine minds mindscapes.world

The Oxford-based research project describes living digital worlds of ecologies, histories, and characters for training, testing, and studying LLMs.

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Landing-page snapshot of moscowneverlies.com Moscow Never Lies turns AI satire into a playbook moscowneverlies.com

A Russian AI-satire outlet that publishes fabricated, celebrity-and-politician-themed videos and sells guides to making viral AI content, deepfakes, and automated Telegram posts.

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Landing-page snapshot of bagbot.fun Bagbot gives AI agents a desk—and a shift bagbot.fun

An AI-agent office concept with a 3D floor, MCP or HTTP connections, jobs, and a token section.

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Landing-page snapshot of airadar.today AI Radar Today maps the fine print of free AI access airadar.today

This Korean-language tracker lists free-tier conditions for services including the Gemini API and OpenRouter, with source links and check times.

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Across the archive

AI Table, accumulating

7,218 cards provide an early longitudinal view—not a measure of the whole web.

Category pulse

score + signals · rolling 21 days
AI Table score and signal pulse Daily median editorial-interest threads for every category, the category average, and the daily prevalence of ten overlapping signals for AI Table over the latest 21 issues. Weird Finds daily median score Oddly Specific daily median score Useful Tools daily median score Developer Corner daily median score Civic & Public Life daily median score Learning & Exams daily median score Human Services daily median score Global Trade Desk daily median score Food, Events & Hospitality daily median score Commerce Shelf daily median score Content & Blogs daily median score Personal Pages daily median score Local Businesses daily median score Suspicious Gentlemen daily median score Daily average of category median scores AI Table daily median score 2026-09-15: AI Table median 79.02026-09-16: AI Table median 79.02026-09-17: AI Table median 79.02026-09-18: AI Table median 79.52026-09-19: AI Table median 82.02026-09-20: AI Table median 79.02026-09-21: AI Table median 79.02026-09-22: AI Table median 79.02026-09-23: AI Table median 76.02026-09-24: AI Table median 78.02026-09-25: AI Table median 78.02026-09-26: AI Table median 77.02026-09-27: AI Table median 74.52026-09-28: AI Table median 78.02026-09-29: AI Table median 77.02026-09-30: AI Table median 78.02026-10-01: AI Table median 78.02026-10-03: AI Table median 78.02026-10-05: AI Table median 78.0 ○ Open 2026-09-15: 100% open across 38 published cards 2026-09-16: 100% open across 33 published cards 2026-09-17: 100% open across 37 published cards 2026-09-18: 96% open across 46 published cards 2026-09-19: 100% open across 43 published cards 2026-09-20: 100% open across 33 published cards 2026-09-21: 100% open across 35 published cards 2026-09-22: 100% open across 27 published cards 2026-09-23: 100% open across 23 published cards 2026-09-24: 100% open across 20 published cards 2026-09-25: 100% open across 22 published cards 2026-09-26: 100% open across 27 published cards 2026-09-27: 100% open across 20 published cards 2026-09-28: 100% open across 24 published cards 2026-09-29: 100% open across 17 published cards 2026-09-30: 100% open across 20 published cards 2026-10-01: 95% open across 19 published cards 2026-10-02: 0% open across 0 published cards 2026-10-03: 100% open across 19 published cards 2026-10-04: 0% open across 0 published cards 2026-10-05: 100% open across 25 published cards ⊠ Login 2026-09-15: 16% login across 38 published cards 2026-09-16: 30% login across 33 published cards 2026-09-17: 19% login across 37 published cards 2026-09-18: 20% login across 46 published cards 2026-09-19: 12% login across 43 published cards 2026-09-20: 15% login across 33 published cards 2026-09-21: 17% login across 35 published cards 2026-09-22: 26% login across 27 published cards 2026-09-23: 13% login across 23 published cards 2026-09-24: 5% login across 20 published cards 2026-09-25: 14% login across 22 published cards 2026-09-26: 19% login across 27 published cards 2026-09-27: 15% login across 20 published cards 2026-09-28: 25% login across 24 published cards 2026-09-29: 6% login across 17 published cards 2026-09-30: 20% login across 20 published cards 2026-10-01: 32% login across 19 published cards 2026-10-02: 0% login across 0 published cards 2026-10-03: 11% login across 19 published cards 2026-10-04: 0% login across 0 published cards 2026-10-05: 20% login across 25 published cards $ Paid 2026-09-15: 50% paid across 38 published cards 2026-09-16: 42% paid across 33 published cards 2026-09-17: 38% paid across 37 published cards 2026-09-18: 24% paid across 46 published cards 2026-09-19: 28% paid across 43 published cards 2026-09-20: 33% paid across 33 published cards 2026-09-21: 43% paid across 35 published cards 2026-09-22: 48% paid across 27 published cards 2026-09-23: 30% paid across 23 published cards 2026-09-24: 20% paid across 20 published cards 2026-09-25: 23% paid across 22 published cards 2026-09-26: 30% paid across 27 published cards 2026-09-27: 30% paid across 20 published cards 2026-09-28: 17% paid across 24 published cards 2026-09-29: 35% paid across 17 published cards 2026-09-30: 30% paid across 20 published cards 2026-10-01: 5% paid across 19 published cards 2026-10-02: 0% paid across 0 published cards 2026-10-03: 26% paid across 19 published cards 2026-10-04: 0% paid across 0 published cards 2026-10-05: 24% paid across 25 published cards † Ads 2026-09-15: 0% ads across 38 published cards 2026-09-16: 0% ads across 33 published cards 2026-09-17: 0% ads across 37 published cards 2026-09-18: 0% ads across 46 published cards 2026-09-19: 0% ads across 43 published cards 2026-09-20: 0% ads across 33 published cards 2026-09-21: 0% ads across 35 published cards 2026-09-22: 0% ads across 27 published cards 2026-09-23: 0% ads across 23 published cards 2026-09-24: 0% ads across 20 published cards 2026-09-25: 0% ads across 22 published cards 2026-09-26: 0% ads across 27 published cards 2026-09-27: 0% ads across 20 published cards 2026-09-28: 0% ads across 24 published cards 2026-09-29: 0% ads across 17 published cards 2026-09-30: 0% ads across 20 published cards 2026-10-01: 0% ads across 19 published cards 2026-10-02: 0% ads across 0 published cards 2026-10-03: 0% ads across 19 published cards 2026-10-04: 0% ads across 0 published cards 2026-10-05: 0% ads across 25 published cards * Pretty 2026-09-15: 100% pretty across 38 published cards 2026-09-16: 100% pretty across 33 published cards 2026-09-17: 97% pretty across 37 published cards 2026-09-18: 96% pretty across 46 published cards 2026-09-19: 93% pretty across 43 published cards 2026-09-20: 94% pretty across 33 published cards 2026-09-21: 97% pretty across 35 published cards 2026-09-22: 100% pretty across 27 published cards 2026-09-23: 78% pretty across 23 published cards 2026-09-24: 100% pretty across 20 published cards 2026-09-25: 95% pretty across 22 published cards 2026-09-26: 89% pretty across 27 published cards 2026-09-27: 75% pretty across 20 published cards 2026-09-28: 92% pretty across 24 published cards 2026-09-29: 82% pretty across 17 published cards 2026-09-30: 85% pretty across 20 published cards 2026-10-01: 95% pretty across 19 published cards 2026-10-02: 0% pretty across 0 published cards 2026-10-03: 84% pretty across 19 published cards 2026-10-04: 0% pretty across 0 published cards 2026-10-05: 96% pretty across 25 published cards ● Pro 2026-09-15: 92% pro across 38 published cards 2026-09-16: 88% pro across 33 published cards 2026-09-17: 84% pro across 37 published cards 2026-09-18: 87% pro across 46 published cards 2026-09-19: 95% pro across 43 published cards 2026-09-20: 82% pro across 33 published cards 2026-09-21: 91% pro across 35 published cards 2026-09-22: 93% pro across 27 published cards 2026-09-23: 43% pro across 23 published cards 2026-09-24: 55% pro across 20 published cards 2026-09-25: 55% pro across 22 published cards 2026-09-26: 48% pro across 27 published cards 2026-09-27: 35% pro across 20 published cards 2026-09-28: 67% pro across 24 published cards 2026-09-29: 41% pro across 17 published cards 2026-09-30: 55% pro across 20 published cards 2026-10-01: 58% pro across 19 published cards 2026-10-02: 0% pro across 0 published cards 2026-10-03: 63% pro across 19 published cards 2026-10-04: 0% pro across 0 published cards 2026-10-05: 56% pro across 25 published cards ◎ Niche 2026-09-15: 97% niche across 38 published cards 2026-09-16: 100% niche across 33 published cards 2026-09-17: 97% niche across 37 published cards 2026-09-18: 98% niche across 46 published cards 2026-09-19: 91% niche across 43 published cards 2026-09-20: 97% niche across 33 published cards 2026-09-21: 94% niche across 35 published cards 2026-09-22: 100% niche across 27 published cards 2026-09-23: 96% niche across 23 published cards 2026-09-24: 90% niche across 20 published cards 2026-09-25: 100% niche across 22 published cards 2026-09-26: 96% niche across 27 published cards 2026-09-27: 100% niche across 20 published cards 2026-09-28: 100% niche across 24 published cards 2026-09-29: 88% niche across 17 published cards 2026-09-30: 100% niche across 20 published cards 2026-10-01: 95% niche across 19 published cards 2026-10-02: 0% niche across 0 published cards 2026-10-03: 100% niche across 19 published cards 2026-10-04: 0% niche across 0 published cards 2026-10-05: 96% niche across 25 published cards ◉ Human 2026-09-15: 5% human across 38 published cards 2026-09-16: 3% human across 33 published cards 2026-09-17: 14% human across 37 published cards 2026-09-18: 9% human across 46 published cards 2026-09-19: 9% human across 43 published cards 2026-09-20: 6% human across 33 published cards 2026-09-21: 6% human across 35 published cards 2026-09-22: 4% human across 27 published cards 2026-09-23: 17% human across 23 published cards 2026-09-24: 0% human across 20 published cards 2026-09-25: 9% human across 22 published cards 2026-09-26: 11% human across 27 published cards 2026-09-27: 5% human across 20 published cards 2026-09-28: 8% human across 24 published cards 2026-09-29: 6% human across 17 published cards 2026-09-30: 0% human across 20 published cards 2026-10-01: 11% human across 19 published cards 2026-10-02: 0% human across 0 published cards 2026-10-03: 26% human across 19 published cards 2026-10-04: 0% human across 0 published cards 2026-10-05: 8% human across 25 published cards ! Risk 2026-09-15: 3% risk across 38 published cards 2026-09-16: 0% risk across 33 published cards 2026-09-17: 0% risk across 37 published cards 2026-09-18: 9% risk across 46 published cards 2026-09-19: 5% risk across 43 published cards 2026-09-20: 0% risk across 33 published cards 2026-09-21: 3% risk across 35 published cards 2026-09-22: 0% risk across 27 published cards 2026-09-23: 0% risk across 23 published cards 2026-09-24: 5% risk across 20 published cards 2026-09-25: 5% risk across 22 published cards 2026-09-26: 0% risk across 27 published cards 2026-09-27: 5% risk across 20 published cards 2026-09-28: 4% risk across 24 published cards 2026-09-29: 6% risk across 17 published cards 2026-09-30: 5% risk across 20 published cards 2026-10-01: 0% risk across 19 published cards 2026-10-02: 0% risk across 0 published cards 2026-10-03: 5% risk across 19 published cards 2026-10-04: 0% risk across 0 published cards 2026-10-05: 16% risk across 25 published cards ƒ JavaScript 2026-09-15: 29% javascript across 38 published cards 2026-09-16: 21% javascript across 33 published cards 2026-09-17: 46% javascript across 37 published cards 2026-09-18: 28% javascript across 46 published cards 2026-09-19: 21% javascript across 43 published cards 2026-09-20: 39% javascript across 33 published cards 2026-09-21: 37% javascript across 35 published cards 2026-09-22: 26% javascript across 27 published cards 2026-09-23: 30% javascript across 23 published cards 2026-09-24: 25% javascript across 20 published cards 2026-09-25: 50% javascript across 22 published cards 2026-09-26: 22% javascript across 27 published cards 2026-09-27: 25% javascript across 20 published cards 2026-09-28: 21% javascript across 24 published cards 2026-09-29: 24% javascript across 17 published cards 2026-09-30: 25% javascript across 20 published cards 2026-10-01: 11% javascript across 19 published cards 2026-10-02: 0% javascript across 0 published cards 2026-10-03: 32% javascript across 19 published cards 2026-10-04: 0% javascript across 0 published cards 2026-10-05: 16% javascript across 25 published cards
AI Table14 other categoriesDaily category averageScore axis 65–85Signal share0–100%

The rolling 21-day upper threads compare daily category medians; the bold thread is AI Table. Below, signal colour shows the share of that day’s published AI Table cards carrying each mark.

What moves with an 80+ score

1,099 high-interest cards
Signal prevalence among AI Table cards scoring 80 or higher Percentage-point difference between each signal’s prevalence across this category and among the category’s cards with an editorial-interest score of 80 or higher. Open: 51% across all AI Table cards and 82% among cards scoring 80+, a +32 pp difference. ○ Open 51% → 82% +32 pp +32 pp Login: 46% across all AI Table cards and 21% among cards scoring 80+, a -25 pp difference. ⊠ Login 46% → 21% -25 pp -25 pp Paid: 43% across all AI Table cards and 40% among cards scoring 80+, a -3 pp difference. $ Paid 43% → 40% -3 pp -3 pp Ads: 0% across all AI Table cards and 0% among cards scoring 80+, a 0 pp difference. † Ads 0% → 0% 0 pp 0 pp Pretty: 83% across all AI Table cards and 95% among cards scoring 80+, a +12 pp difference. * Pretty 83% → 95% +12 pp +12 pp Pro: 34% across all AI Table cards and 97% among cards scoring 80+, a +63 pp difference. ● Pro 34% → 97% +63 pp +63 pp Niche: 88% across all AI Table cards and 94% among cards scoring 80+, a +6 pp difference. ◎ Niche 88% → 94% +6 pp +6 pp Human: 2% across all AI Table cards and 7% among cards scoring 80+, a +5 pp difference. ◉ Human 2% → 7% +5 pp +5 pp Risk: 3% across all AI Table cards and 3% among cards scoring 80+, a -1 pp difference. ! Risk 3% → 3% -1 pp -1 pp JavaScript: 32% across all AI Table cards and 31% among cards scoring 80+, a -1 pp difference. ƒ JavaScript 32% → 31% -1 pp -1 pp

This exposes association inside the published catalogue, not causation or site quality. The 80+ threshold is the pipeline’s editorial-interest score.