Subject
61 entries
AI
Bookmarks
The Open Anonymity Project: AI user privacy infrastructure
The Open Anonymity Project builds tools and infrastructure for AI user privacy — an open-source effort to give users anonymity options when interacting with AI systems. Still early, but addresses a real gap as AI becomes more central to daily life.
Benedict Evans: annual technology industry presentations
Benedict Evans releases major tech industry trend presentations twice yearly — free PDFs with hundreds of slides covering macro shifts in tech. His 2025 edition is 'AI eats the world.' Required reading for understanding where the industry is headed.
Font of Web: AI-Powered Font Discovery
Font of Web uses AI to match fonts to design aesthetics — describe or upload a design and get font recommendations. Design inspiration and font discovery in one tool.
The Best Way to Use AI for Learning: Heptabase Method
Alan Chan's five-step method for using AI to learn harder material: parse the full source, generate tailored study materials, discuss with AI in context, take notes in your own words, then visualize relationships. The argument is that AI enables learning more complex things, not just the same things faster.
SlouchSniper: AI Posture App
SlouchSniper uses on-device computer vision to monitor posture via webcam and dims your screen when you slouch, restoring it when you sit up. A behavioral nudge approach to building postural habits — no cloud, one-time purchase.
The Future Of Reasoning
A YouTube video titled 'The Future Of Reasoning' — content unavailable for fetching, but likely covers the state and trajectory of machine reasoning capabilities in AI systems.
Motiff: AI-Powered Professional Interface Design Tool
Motiff is a Figma-style interface design tool with AI features built in — including component generation, design suggestions, and prototyping. Positions itself as the design tool for the AI era, competing directly with Figma.
AI and Knowledge Work: Early Research Synthesis
A synthesis of early 2024 research on AI's impact across software engineering, customer support, and consulting. Key finding: lower performers benefit most from AI tools, and using AI on tasks outside its capability range actually makes performance worse.
YOU'VE JUST BEEN FUCKED BY PSYOPS (37C3 Talk)
Trevor Paglen's 37C3 talk connecting Cold War psychological operations history to algorithmic targeting, synthetic media, and 'PSYOP Capitalism' — the era of AI-enabled mass manipulation. Includes CYCLOPS, an interactive game threaded through the conference.
Lead Overload: AI Outbound Sales Calls
Lead Overload automates outbound sales calls using AI — an AI voice agent that makes sales calls at scale, qualifying leads and booking meetings without human SDRs. Part of the wave of AI-first sales automation tools that emerged in 2023.
The Next Era of AI: GPT-4
A HackerNoon overview of GPT-4's architectural advances over GPT-3, covering multimodal capabilities, improved reasoning, and the scaling leap that made it qualitatively different. Useful historical context for understanding what made GPT-4 a step-change rather than an incremental improvement.
AI's $200B Question
Sequoia Capital's 2023 analysis arguing that GPU capacity was being overbuilt relative to actual AI revenue, with $200B in GPU investment chasing far less in monetizable AI applications. A contrarian note during peak AI hype that proved partially prescient about the infrastructure overhang.
AI Browser Extensions Are a Security Nightmare
Kolide's analysis of why AI browser extensions are a security and privacy risk — they require broad DOM access permissions that give them access to every page you visit, including sensitive internal tools. A practical warning for enterprise security teams evaluating AI productivity tools.
How to Build AI Products People Want
Reforge's 2023 framework for finding AI product market fit — introducing the 'AI Survival Curve' to describe which product categories are threatened by commoditized AI vs. which can build defensible AI-native advantages. Strategy framing for product teams navigating the transition.
Democratizing AI with Open-Source Language Models
LWN's coverage of the democratizing AI discussion around open-source language models — examining the tension between open-source access enabling innovation and the risks of unguarded deployment. A useful 2023 snapshot of the open vs. closed AI debate from the Linux community perspective.
Leaked Google Document: "We Have No Moat, And Neither Does OpenAI"
Simon Willison's commentary on the leaked Google 'We Have No Moat' document, providing context and links to the SemiAnalysis publication. Willison frames the memo as significant for its candor about open-source AI's rapid quality trajectory.
Google "We Have No Moat, And Neither Does OpenAI"
A leaked internal Google document arguing that open-source AI will outcompete both Google and OpenAI — the thesis being that open-source models iterate faster, require no API fees, and are already approaching proprietary quality. One of the most influential strategic memos of the 2023 AI boom.
Per Prompt: Weekly LLM and AI Digest
Per Prompt is a weekly digest of interesting news, tools, and developments in LLMs, GPT, and AI — a curation newsletter for staying current without following the firehose. Typical of the newsletter wave that emerged during 2023's rapid AI news cycle.
Definite: 10x Faster AI Analytics
Definite is an AI-assisted analytics frontend for the modern data stack — natural language to SQL, auto-generated charts, and collaborative dashboards on top of your existing data warehouse. Positioned as a 10x faster alternative to traditional BI tools like Looker or Mode.
Cognosis AI Platform
Cognosis AI's open-source platform repository — an early AI agent platform from 2023. Content not available but saved as a reference to an early-stage AI infrastructure company working on agent platforms before the space became crowded.
backend-GPT: Natural Language Backend Generation
backend-GPT is an early experiment in using GPT to generate backend code from natural language descriptions — part of the wave of GPT-powered code generation tools that emerged before GitHub Copilot popularized the category. Represents the early exploration of LLMs as backend architects.
Cradle: AI Platform for Protein Engineering
Cradle is an AI platform for protein engineering and design — uses generative models to suggest protein sequence modifications that improve properties like stability, expression, and activity. Targets the biotech workflow where engineers iteratively improve proteins through wet lab cycles.
The Data Moat Myth for Generative AI
A 2022 tweet arguing that the 'data moat' premise for GenAI startups is a false promise — foundational models commoditize the data advantage that once differentiated ML companies. An early articulation of why the 'ChatGPT for X with proprietary data' pitch was flawed.
What Building "Copilot for X" Really Takes
An essay from the team behind Codeium on what actually goes into building a 'Copilot for X' product — inference scale, latency budgets, context window management, and the unglamorous infrastructure work. A 2022 reality check on what the AI coding assistant category requires.
The Empty Promise of Data Moats (a16z)
Andreessen Horowitz's 2019 essay arguing that data moats are largely illusory — data network effects are weaker than assumed, more data doesn't linearly improve model performance past a threshold, and the actual moat is usually elsewhere. Foundational piece in the AI business strategy debate.
Q2 2022 AI/ML Industry Report (Gradient Flow Preview)
Gradient Flow's Q2 2022 preview report surveying the AI/ML industry landscape — adoption patterns, infrastructure tooling, and where enterprise ML investment was flowing mid-2022. A snapshot of the field right before the generative AI wave broke, useful as a baseline for how quickly the priorities shifted.
Synced — AI Research and Industry News
Synced is an AI and tech news publication covering ML research, industry developments, and AI applications — originally focused on the Chinese AI ecosystem but expanded globally. One of the more substantive English-language sources tracking AI research news.
AI and I: The Age of Artificial Creativity
A NessLabs essay on what AI creative tools mean for human creativity and knowledge work — arguing that AI doesn't replace creativity but reshapes what creative work consists of. Published at the start of the generative AI wave in late 2022.
Bleeding Edge — AI News Feed
Bleeding Edge is a curated feed of noteworthy AI developments — research papers, product launches, and industry news filtered for signal over noise. A useful daily tracker for keeping up with the pace of AI progress.
AI: Startup vs. Incumbent Value
Elad Gil's analysis of where AI startup value accrues vs incumbents — written in 2022, a prescient look at whether AI applications or AI infrastructure captures more value. Still a useful framework for thinking about AI competitive dynamics.
AI Winter Is Well On Its Way
Filip Piekniewski's 2018 blog post predicting an AI winter due to deep learning's fundamental limitations — a contrarian view written before the GPT era proved the scaling hypothesis. Useful as a document of expert skepticism that turned out to be largely wrong.
State of AI Report
The State of AI Report is an annual analysis of the most interesting developments in AI across research, industry, politics, and safety. Co-authored by Nathan Benaich and Ian Hogarth, it's one of the most comprehensive yearly summaries of where the field stands.
The AI $100M Revenue Club
Gradient Flow's catalog of AI companies that had reached $100M ARR as of 2022 — a useful snapshot of which AI businesses had achieved meaningful scale before the generative AI wave. The list skews toward computer vision, cybersecurity, and vertical AI applications.
Generative AI: A Creative New World (Sequoia Capital)
Sequoia Capital's October 2022 essay framing generative AI as a new creative platform wave — arguably the most-cited VC framing of the early generative AI moment. Published right as Stable Diffusion proliferated and just before ChatGPT, it set the terms for how VCs discussed the space for the next two years.
Self-Programming Artificial Intelligence
This paper explores the concept of self-programming AI — systems that can inspect, modify, or write their own code and learning algorithms. It sits at the intersection of meta-learning and program synthesis, asking whether AI systems can improve their own architecture or training procedure through learned introspection rather than human-designed updates.
AI's Human Factor: Fei-Fei Li and Mira Murati
A Greylock-hosted conversation between Stanford's Fei-Fei Li and OpenAI CTO Mira Murati on AI's human dimensions — ethics, access, creativity, and what it means to build AI responsibly. A discussion between two of the most influential women in AI at a pivotal moment.
Save All: AI-Powered Bookmarking
Save All is an AI-powered bookmarking and knowledge management tool that goes beyond save-and-forget — using AI to summarize, tag, and surface saved content when relevant. Part of the 2022 wave of AI-augmented PKM tools.
The AI Unbundling (Stratechery)
Ben Thompson's September 2022 analysis arguing that AI would unbundle integrated products by making the creation layer cheap — anyone could build a specialized alternative to an incumbent's bundled offering. One of the clearest early strategic framings of generative AI's market impact.
Writesonic: AI Writing Assistant
Writesonic is a GPT-3-powered AI writing tool focused on marketing copy, blog posts, and ad creative. One of the early AI writing SaaS products that demonstrated commercial viability for LLM-powered content generation.
AI Grant
AI Grant is a no-strings-attached grant program by Nat Friedman and Daniel Gross giving $10k to AI researchers and builders working on ambitious projects. Launched in 2022 as a deliberate attempt to fund AI-first builders before the VC world caught up.
Upscayl: Free and Open-Source AI Image Upscaler
Upscayl is a free, open-source AI image upscaler for Linux, macOS, and Windows built with a Linux-first philosophy. It wraps Real-ESRGAN and similar super-resolution models in a polished desktop UI, making AI upscaling accessible without command-line knowledge.
FTI Tech Trends 2022: AI Edition
FTI Consulting's 15th annual tech trends report focused on AI across business, government, research, and society. A useful snapshot of the state of AI thinking in early 2022, right before the generative AI wave peaked.
Locofy.ai: Design to Code with AI
Locofy.ai converts Figma and Adobe XD designs into production-ready React, Next.js, or React Native code — targeting the gap between designer handoff and developer implementation. Part of the 2022 wave of AI-assisted frontend code generation tools.
Alethea AI: Intelligent NFTs
Messari's report on Alethea AI's 'Intelligent NFTs' — NFTs fused with AI personalities that can converse, learn, and evolve. An interesting 2022 experiment at the intersection of AI characters and blockchain ownership, now mostly a historical artifact of the peak NFT era.
Resoume: AI Resume Assistant
Resoume's AI resume assistant — an early AI-assisted resume writing and optimization tool from 2022. Part of the first wave of consumer AI tools for job searching before ChatGPT made AI writing assistance mainstream.
Hypercycle: Blockchain Architecture for Scalable AI Microservices
SingularityNET's Hypercycle whitepaper proposes a lightweight agent-based blockchain architecture for cheap, high-speed execution of AI microservices, built on Cardano's EUTxO model, the TODA ledgerless blockchain, and a Proof of Reputation system. An ambitious attempt to make AI services composable on-chain.
Uberduck: Voice Cloning and Text-to-Speech
Uberduck is a text-to-speech and voice cloning platform that gained early viral traction through celebrity voice imitations and rap generation. Early consumer-facing example of generative audio before ElevenLabs dominated the space.
SEPIA: Open-Source Voice Assistant
SEPIA is an open-source, self-hosted voice assistant framework — a privacy-preserving alternative to Alexa, Google Assistant, and Siri. Runs entirely on your own server, with custom skill development support.
MutableAI: AI-Powered Code Generation
MutableAI is an early AI coding assistant that offered automatic code completion and refactoring — a 2022-era precursor to what Copilot and Cursor would become. Interesting artifact of the early AI coding tools moment.
AI Index Report 2021
Stanford HAI's fourth annual AI Index Report tracking AI research output, compute trends, investment, and societal impact through 2020. A useful baseline document for understanding how rapidly the field accelerated in the years immediately following.
ARK Big Ideas 2022
ARK Invest's 2022 annual Big Ideas report lays out their investment thesis across five disruptive technology platforms: genomics, robotics, energy storage, artificial intelligence, and blockchain. It's both a market forecast and a statement of where ARK believes exponential cost curves will reshape entire industries over the next decade.
Cogment Verse: Human-in-the-Loop Reinforcement Learning
Cogment Verse is an SDK for training and validating AI agents in human-in-the-loop learning (HITL) and multi-agent reinforcement learning environments. Provides a web UI for human participation in training alongside standard RL algorithms like A2C and PPO.
Poised — AI Communication Coach for Online Meetings
Poised is an AI-powered communication coach that analyzes your speech in real time during Zoom, Slack, and Google Meet calls — flagging filler words, speaking pace, eye contact, and confidence signals. Early entrant in the AI meeting intelligence category.
TheSequence 2022 ML Reading List
TheSequence's 2022 ML reading list — curated books and papers for going deep on machine learning and AI. A practitioner-oriented guide to the foundational and cutting-edge literature in the field heading into 2022.
An Introduction to Knowledge Graphs
Stanford AI Lab's introduction to knowledge graphs — what they are, how they're constructed, and where they're used. A solid conceptual overview covering entity linking, relation extraction, and the gap between structured and unstructured knowledge.
Your AI Skills Are Worth Less Than You Think
Ryszard Szopa's contrarian take on the AI skills premium — arguing that ML expertise is overvalued relative to domain knowledge and problem formulation skills, and that most ML work is commodity engineering that will commoditize further. A useful corrective to 2021 ML hype.
Where Are the Opportunities for Machine Learning Startups?
A 2015 VC perspective on where machine learning startups have genuine opportunities — identifying verticals where ML adds defensible value vs. where it's a feature, not a company. Notable for emphasizing ML education as an overlooked category.
Yann LeCun: Making Facebook's AI Predict What Happens in Videos
New Scientist interview with Yann LeCun on Facebook AI Research's goal to build models that predict what will happen in videos — covering what AI can and can't do in 2015, and LeCun's view on unsupervised learning as the key unsolved problem.
The Current State of Machine Intelligence (2014)
Shivon Zilis's 2014 landscape of machine intelligence companies — an early attempt to map the ML startup ecosystem before deep learning had fully taken over. A historical snapshot of what the AI industry looked like before the transformer era.
IBM's 5 in 5: Life in the Next 5 Years (2013 Edition)
IBM's 2013 '5 in 5' annual technology predictions for 2018 — the classroom will learn you, buying local beats online, personalized DNA medicine, digital guardians, smart cities. IBM's annual attempt to predict near-term tech futures.
Great Machine Learning Products
O'Reilly Radar's 2012 analysis of what distinguishes great machine learning products from mediocre ones — written during the pre-deep-learning ML era when practitioners were figuring out how to ship ML-powered features users would actually trust and use.