This article explores the pitfalls of over-relying on AI coding agents, drawing parallels to the Red Queen's Race from 'Through the Looking-Glass.' It argues that removing human friction in software development—like code review and design debates—leads to fragile, unfired 'clay' code that cannot withstand pressure. The author warns that the race to ship faster with AI creates a doom loop of increasing complexity and fragility.
AI-generated code is like unfired clay: fast to shape but lacking structural integrity.
The Red Queen's Race metaphor illustrates how AI forces teams to run faster just to stay competitive, increasing complexity.
Based on direct observations, the author argues that organizations worldwide are gripped by AI mass hysteria, with nearly all AI projects failing while employees and executives are pressured to profess faith in AI, suppressing rational decision-making.
All AI projects observed by the author's team have failed, with a 0% success rate.
Internal chatbots are barely used, and customer-facing chatbots provide poor experiences.
Timeline Studio is a local-first AI video editor that runs in the browser, combining a CapCut-style multi-track timeline with browser-side AI voiceovers, automatic captions, vision tools, talking-avatar generation, and deterministic offline export.
Multilingual AI voiceovers, automatic captions, smart framing, portrait matting, vocal separation, and digital human generation.
Full video editing capabilities including multi-track timeline, keyframe animation, filters, effects, stickers, and more.
appointmed shares its experience with 100% agentic coding in a healthcare SaaS, emphasizing that agentic coding does not replace engineering judgment but shifts effort to task shaping, codebase legibility, and rigorous review.
Agentic coding doesn't replace engineering judgment; responsibility remains with humans.
Clear task descriptions and well-structured codebases are prerequisites for effective agent work.
Based on firsthand observations and extensive industry conversations, the author argues that businesses and institutions worldwide are gripped by an AI-induced mass psychosis. Claiming a 100% failure rate for observed AI projects, he describes how executives irrationally mandate AI adoption, punish non-users, and foster a culture of 'AI-washing' and fake metrics. The article urges a rational reassessment of AI's limitations.
The author's team observed a 0% success rate in AI projects over 18 months; productivity gains are largely fabricated.
Executives are forced to publicly profess faith in AI, while internally engineers 'AI-wash' their work to meet mandates.
A shift from copilot-style AI to agentic AI is transforming marketing. Autonomous agents now execute multi-step campaigns, optimizing budgets and channels without human intervention. While powerful, success requires human oversight of goals and boundaries.
Agentic AI systems autonomously execute marketing goals, unlike copilot tools that require prompts.
Examples include Salesforce Agentforce, HubSpot Breeze, Adobe Agent Orchestrator, and Braze Operator.
The author reflects on an early career experience where compilers out-optimized hand-tuned assembly, drawing parallels to current concerns about AI replacing jobs. The core message: machines always improve at the mechanical aspects, but human fascination and exploration remain irreplaceable.
The author honestly says no, not really worried about AI taking their job.
Recalls how compilers in the 90s already surpassed hand-written assembly in efficiency.
San Francisco City Attorney David Chiu has sent letters to Apple and Google demanding the removal of several AI-powered 'nudify' apps that can create nonconsensual intimate images. The letters cite California's deepfake laws and call for better screening. Meanwhile, concerns about Grok generating CSAM add pressure on app stores.
San Francisco City Attorney demands Apple and Google remove nudify apps that violate deepfake laws.
Researchers found 70% of tested face-swapping apps can be used for nudification.
Google Cloud's generative-ai repository ships the Always-On Memory Agent, a reference implementation that treats memory as a running process. Built on Google ADK and Gemini 3.1 Flash-Lite, it uses no vector database and no embeddings. Instead, an orchestrator routes to Ingest, Consolidate, and Query sub-agents that read, connect, and write structured memory into SQLite 24/7.
Always-On Memory Agent is a lightweight background process that runs 24/7, using Google ADK and Gemini 3.1 Flash-Lite.
It eliminates vector databases and embeddings, relying on an LLM to write structured memory to SQLite.
Jack Conte, CEO of Patreon, argues that AI is a tool that will transform creative processes, not destroy creativity. Drawing parallels with historical resistance to the synthesizer, he emphasizes that human story and artistic vision remain central. Low-quality AI art is a passing phase, akin to clip art, while the real potential lies in AI expanding the creative process.
Jack Conte compares AI to the synthesizer: feared initially but eventually expanded creative possibilities.
AI changes the process of creation, not the art itself; human connection and storytelling are irreplaceable.
cicy-code is an open-source, local-first multi-agent development workspace that integrates tmux, WebTTY terminal, React frontend, AI gateway, and a skill marketplace. It ships as a single binary via npx, enabling users to quickly start an agent team in about 5 minutes.
Local-first multi-agent workspace for coding agents.
Integrates tmux, WebTTY, React, AI gateway, and skill marketplace.
The author attempted to evade AI detection using Claude Code, 10 parallel agents, and basic tricks, but failed. The article details multiple attempts including using Wikipedia rules, Pangram API feedback, and mimicking specific author styles, all unsuccessful. The only success was manual rewriting of his own article, reducing AI detection score to 0%.
The author used AI to draft 84 blog posts, nearly all flagged as 100% AI-generated.
Attempts to evade detection via AI editing, mimicking human style, and copying a specific author's voice all failed.
GPU.ai is hosting a global online buildathon from August 22-24, 2026, with a $1,000 grand prize and free GPU credits. Accepted teams must build AI apps, agents, APIs, or creative workflows using GPU.ai's affordable cloud GPUs. Only 50 teams are accepted.
GPU.ai Buildathon runs August 22-24, 2026, offering $1,000 grand prize and free GPU credits
Open to solo developers and teams; only 50 teams accepted
Retriever launches agentic dataset enrichment running in your browser, allowing you to enrich contact lists from any webpage you're logged into, such as Luma event pages, with LinkedIn profiles, work emails, and more, then score and contact top prospects—all for about $1.25 per 500 records.
Works on any webpage you have open, using your existing logins to access attendee lists or employee directories.
From a single prompt, it extracts data from the page, matches against pre-indexed datasets, and performs live scrapes to fill in missing fields.
New data shows that nearly three-quarters of apps rejected by Flathub for heavy AI usage are already abandoned, validating the platform's controversial ban.
Flathub banned AI-coded app submissions last month amid criticism.
Analysis of 120 rejected repositories found 73% are no longer active.
Tabstack is a Mozilla-backed platform that offers a unified API for extracting structured data, conducting research with citations, and automating browser tasks, without managing LLMs, browsers, or pipelines. It emphasizes privacy (no training on data, data purged) and uses the open-source browser engine Pilo to reduce token consumption.
Tabstack provides endpoints like /extract/json, /research, and /automate for data extraction, research Q&A, and browser automation.
All calls run on Mozilla-backed infrastructure; data is never used for model training and is promptly purged.
Postlia is a social media management tool that enables scheduling and publishing to LinkedIn, Bluesky, Instagram, TikTok, Pinterest, YouTube Shorts, and Mastodon. It offers 25+ free tools including handle checkers, caption generators, and hashtag generators, many without signup. Paid plans start at $29/month with a 7-day free trial. Built by a two-person team, it emphasizes simplicity and support.
PenEcho is an open-source shared canvas that integrates AI for handwriting, equations, diagrams, and spatial context. It operates through a browser canvas, server validation, and multiple executors (OpenAI API, Codex CLI, Claude CLI) to generate editable drafts. Users can move, resize, accept, or discard each AI suggestion. The canvas supports a 20,000 x 20,000 logical size with sparse rendering, local snapshots, and various configuration options. Requires Node.js 18.17+ and an API key or authenticated CLI tools. The article covers installation, executor selection, security, and cost estimation.
PenEcho is an open-source AI-powered shared canvas for handwriting, equations, and diagrams.
It captures content on the browser canvas, validates via server, and generates drafts using AI executors.
Contrary to popular belief, AI hasn't shifted the bottleneck from coding to code review. The real constraint is downstream deployment batches, where changes accumulate after review. Over 90% of teams ship in batches, and speeding up code review only worsens the actual bottleneck.
The perceived shift to code review is a myth; the real bottleneck is deployment batches.
More than 90% of teams deliver changes in batches, with most having 2-10 pending changes.
LangChain has released a hosted version of an open-source extraction service that supports extracting structured data from PDF, HTML, and text files. The service is free to use but not intended for production workloads or sensitive data. It allows users to define extraction schemas, add few-shot examples, and switch between different LLM models. With a simple frontend, developers can quickly experiment and integrate the service into their own LangChain workflows.
LangChain launched a hosted version of an open-source structured data extraction service with a simple frontend.
Supports PDF, HTML, and text files; users can define custom schemas and provide few-shot examples.
The article examines Gwern's theory that overtraining large models on small datasets (grokking) can lead to more human-like general intelligence. It discusses current LLM limitations and proposes a training strategy opposite to mainstream approaches.
Grokking: sudden capability jump after prolonged training
July 15, 2026: Power in AI has shifted from compute and capital to control of capital flows. This list ranks individuals based on their influence over AI capital over the past 12 months, including Elon Musk, Sundar Pichai, Dario Amodei, Mark Zuckerberg, Sam Altman, and many others, detailing their strategic moves and investments.
AI power is no longer defined solely by compute and capital; control of capital flows is now key.
Elon Musk integrated xAI, SpaceX, and X into a $1.75 trillion vertical empire.
Patreon partners with Cloudflare to block AI training crawlers at the network level. CEO Jack Conte insists creators deserve consent, credit, and compensation. The move protects creator content while allowing search crawlers for discovery.
Patreon partners with Cloudflare to block AI training crawlers network-wide.
CEO Jack Conte announces on Instagram, emphasizing consent, credit, and compensation for creators.
This tutorial demonstrates how to build an agentic event venue operator with persistent memory and operational context using MongoDB Atlas, Voyage AI embeddings, LangGraph, and optional Langfuse tracing. The demo scenario is the MongoDB Open, a fictional tennis tournament, where the agent handles weather disruptions, distinguishes visitor segments, and makes real-time decisions under capacity constraints. The article covers architecture, setup, UI walkthrough, memory store, vector search, hybrid search, and visual RAG.
Tutorial builds an agentic event venue operator with persistent memory and operational context, going beyond simple chatbot demos.
Uses MongoDB Atlas as the operational and memory layer, combined with Voyage AI embeddings and LangGraph workflows.
NeoSigma has built a sandbox infrastructure that provides autonomous agents with a safe, isolated, and fully functional execution environment, enabling them to work as if on a real developer workstation while ensuring every action is controlled, reproducible, and disposable.
The sandbox features four core planes: control, execution, security/networking, and data.
Warm pools and intent prediction minimize startup latency, allowing agents to start working almost instantly.
As AI-native companies scale, finance teams must protect unit economics using real-time, governed data. Databricks' Genie One serves as an AI coworker to help CFOs track margin, consumption revenue, and compute spend.
AI-native gross margins reached about 52% in 2026, still below classic software's 70-90%.
Finance requires real-time data and ontology to understand numbers in context.
26 Meta employees sued the company, alleging its AI systems targeted workers on medical or family leave for layoffs, violating laws protecting pregnant, disabled, and on-leave employees. Meta denies the claims, saying workforce decisions are made by people, not AI.
26 employees sue Meta, claiming AI discriminated against those on protected leave. Meta laid off 8,000 in May.
Lawsuit details use of AI to monitor keystrokes and train 'second brain' agents. Workers seek court order and independent audit.
The article addresses the challenge of proving ROI for agentic AI in financial services, noting that traditional monitoring fails with multi-agent systems' dynamic costs. Using two real-world use cases—RFP processing automation and AML compliance monitoring—it demonstrates how combining LangChain's observability tools (LangSmith, LangGraph) with Pay-i's economic intelligence platform connects engineering metrics to business value, enabling leadership to see clear returns on AI investments.
Multi-agent AI systems have a dynamic cost structure that traditional FinOps tools cannot handle.
LangSmith provides engineering-level observability; Pay-i links costs to business outcomes.
Amazon Quick is an AI assistant that helps sales reps spend more time selling by automating CRM updates, prospect research, email drafting, and more. It covers the entire sales cycle from lead scoring to CRM automation.
Amazon Quick automates lead scoring and prioritization using CRM and other data.
It enables personalized outreach with context-aware email generation.
Scott Galloway draws parallels between the current AI boom and the dot-com bubble of 1999, warning that the AI bubble is beginning to unravel but may have a twist ending. He traces the cascading failures from B2C to infrastructure and argues that the true beneficiaries of AI will be users, not shareholders.
OpenAI's financials mirror dot-com era: massive losses, unsustainable business model, and a bailout proposal
Circular financing and overspending in AI raise red flags, with companies already cutting usage
Simon Willison describes three capabilities that are individually fine but devastating together: access to private data, exposure to untrusted content, and the ability to exfiltrate data. An AI agent combining all three is vulnerable to hijacking. A free, no-signup puzzle game teaches these concepts across 10 levels.
The three capabilities: private data access, untrusted content exposure, and data exfiltration.
Together, they allow untrusted content to hijack the agent and leak private data.
Coach’s Corner is a Databricks App that transforms 25 fps match tracking data into a sub-second 2D/3D tactical bench with replays, event analytics, a scout chat, and an opponent-dossier agent. It runs on one platform, powered by Databricks end-to-end: Lakeflow pipelines refine 51 million rows through bronze, silver, and gold; DBSQL queries them in 1-3 seconds; and Lakebase serves them to the app in milliseconds. The AI layer is grounded in governed data, including a Genie space for scouting questions, Vector Search for similar players, and an agentic dossier that calls an LLM served through the Unity AI Gateway, with every step traced in MLflow.
Coach's Corner unifies data ingestion, transformation, and AI on a single platform for real-time tactical insights.
Uses Spark Declarative Pipelines to process 51 million rows and DBSQL for 1-3 second query responses.
This post provides a high-level overview of the Smartsheet remote MCP architecture, focusing on the AWS infrastructure behind it, including security, governance, scaling, deployment, and AI-specific optimizations.
Smartsheet built a remote MCP server on AWS to give AI clients direct access to its data and capabilities.
Key AWS services include AWS Fargate, Amazon Kinesis, Amazon Bedrock, and Amazon Neptune.
Startup Factory is an open-source framework that turns project management boards into a governed delivery system for AI agents. It supports multiple trackers, provides layered safety boundaries, and enables deterministic orchestration of cross-functional AI teams.
Startup Factory connects project management tools (Jira, Linear, GitHub Issues, Markdown) to AI agents for end-to-end product delivery.
It features a deterministic PM supervisor that checks boards every 3 minutes, routes tasks to appropriate agent teams, and enforces safety and governance.
The article argues that AI memory is the new vendor lock-in, with no real portability existing in July 2026. It identifies three types of lock-in (behavioral, context, relationship), praises early movers like Cognee and ByteRover, but stresses that a neutral interchange standard is needed, as single-vendor formats are just dialects. Regulatory pressure in Europe may accelerate the need.
As of July 2026, there is no practical portability for AI memory; switching platforms means starting from scratch.
Memory lock-in comes in three layers: behavioral, context, and relationship, with relationship being the hardest to migrate.
Bunkerhill Health has raised $55 million to scale its agentic AI platform, Carebricks. The platform is already live at Cleveland Clinic, UTMB, and Intermountain Health. UTMB has deployed over 20 agents across clinical, operational, and administrative workflows, reporting early wins such as a coronary calcium detection agent that flagged a patient at imminent heart attack risk, leading to a life-saving triple bypass.
Bunkerhill Health closes $55M Series B with participation from Sequoia Capital, Khosla Ventures, and others.
Its agentic AI platform Carebricks allows hospitals to build custom AI agents for clinical, operational, and administrative tasks.
Sakana AI's Error Diffusion is a local learning rule that trains neural networks without weight transport or backpropagation while obeying Dale's principle. It uses a dual-stream architecture with excitatory and inhibitory pathways, and modulo error routing to scale to multi-class classification, achieving 96.7% on MNIST and 61.7% on CIFAR-10. The innovations show task-dependent importance, and the method extends to reinforcement learning via ED-PPO, outperforming BP-PPO on some tasks.
Error Diffusion trains Dale-compliant networks without backpropagation or weight transport.
Modulo error routing scales ED beyond binary classification to MNIST and CIFAR-10.
Anthropic will include Claude Fable 5 in all Max and Team Premium plans at 50% limits starting July 20, and offer a one-time $100 credit to Pro and Team Standard users, reversing its earlier plan to remove the model from subscriptions due to competitive pressure from GPT-5.6 Sol and others.
Claude Fable 5 becomes permanent in Max and Team Premium plans (50% limits).
Pro and Team Standard users get ongoing usage credits plus a $100 one-time credit.
Zyphra released ZUNA1.1 on July 16, 2026, under the Apache 2.0 license. The 380M masked diffusion autoencoder reconstructs, denoises, and upsamples scalp-EEG across arbitrary channel layouts. It accepts variable-length inputs from 0.5 to 30 seconds, against ZUNA1's fixed five seconds. Reported NMSE holds or improves while the input range widens.
ZUNA1.1 accepts variable-length inputs from 0.5 to 30 seconds, tokenized into 0.125-second segments.
It uses a transformer encoder-decoder with 4D RoPE and rectified flow objective.
In a recent benchmark, GPT-5.6 Sol Ultra autonomously constructed a complete Chrome V8 exploit chain from scratch by analyzing security-fix patches, ultimately popping a calculator. Other frontier models like Sol Medium and Grok 4.5 stalled early. The author argues that exploit development as a human skill is now obsolete.
GPT-5.6 Sol Ultra completed a 9-step exploit chain in three days, including Maglev type confusion, sandbox read/write, sandbox escape, UAF, and code execution.
Sol Medium and Grok 4.5 failed to advance beyond sandbox primitives; Sol Ultra used 74 sub-agents and 2.1B tokens at a cost of ~$1,597.
The chipmaker is fleshing out its physical AI ecosystem, from foundation models and edge hardware to software, developer tools and industrial partnerships.
Nvidia expands physical AI strategy covering robotics and edge computing
Introduces foundation models and edge hardware for AI applications
Elon Musk's rapid construction of AI data centers in Memphis has sparked backlash from residents over noise and emissions, leading to policy proposals, protests, and litigation nationwide.
Musk's Colossus and Colossus II data centers use natural gas turbines, causing noise and pollution.
New York and New Jersey have enacted laws to restrict or regulate AI data centers.
Anthropic is in very preliminary talks to lease AI computing power from Meta, with a potential deal worth about $10 billion. The talks follow a similar agreement with SpaceX and highlight the ongoing challenge for AI labs to secure Nvidia chips. Meta is also exploring cloud computing to monetize its AI investments.
Anthropic in early talks with Meta to lease compute power, deal size around $10 billion.
Comes after Anthropic's similar deal with SpaceX for data center capacity.
Based on tracking 45 companies, total AI infrastructure capital expenditure reaches $941.5B, with an estimated $399.5B attributed to AI. Alphabet leads with $185.0B total capex.
Tracks 45 companies across 8 sectors, total capex $941.5B, AI-attributed $399.5B (42.4%)
Chinese President Xi Jinping called for international cooperation on AI and announced the formation of the World Artificial Intelligence Cooperation Organisation (WAICO) with 29 founding nations, positioning China as a leader in global AI governance amid competition with the US.
Xi urged that AI development should not be a 'solo performance' but international cooperation.
China launched WAICO, a 29-member alliance including Indonesia, Brazil, Russia, and others.
This issue of The Download covers the hype and misinformation around perimenopause, China's new open-source AI model that narrows the gap with the US, and other tech stories including Trump Media's monetization, an atmosphere on an Earth-like planet, brain implants restoring feeling, and more.
Perimenopause discussions are more open but increasingly filled with misinformation and unsupported treatments.
A Chinese startup released the world's largest open AI model, competing with US models and impacting stocks.
As AI tools proliferate, the definition of critical thinking needs expansion. This article breaks it down into reflection and judgment, highlights intellectual humility, and argues that education must cultivate the ability to make sound judgments under uncertainty.
Critical thinking involves two steps: reflection and judgment; digital environments erode the space for reflection.
Intellectual humility is crucial — recognizing the limits of one's understanding.
In 1955, John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon proposed the Dartmouth Summer Research Project on Artificial Intelligence, marking the birth of AI as a field. The proposal defined AI's goal: to make machines use language, form abstractions, solve human problems, and improve themselves.
Proposed in 1955 by McCarthy, Minsky, Rochester, and Shannon as the founding document of AI.
First use of the term 'artificial intelligence', setting the goal of simulating human intelligence in machines.
Oversikt.se is a public data and AI evidence engine for Swedish politics, offering interactive visualizations of taxes, budgets, party positions, and public opinion to enhance political transparency. Users can input their salary to see personal tax breakdowns and track government expenditures in real time.
Oversikt.se visualizes Swedish tax, budget, and political data, allowing personalized queries.
The platform integrates an AI evidence engine to help the public understand party budget proposals and their impacts.
This article explores the concept of bio-metals and focuses on a study that discovered metallic structures in the mouth of an ancient creature, revealing potential insights into biomineralization and natural materials.
Bio-metals are metallic elements found within living organisms, often with unique properties.
A new study examines mysterious metallic remains in the maw of an ancient organism.
Nurses at Kaiser Permanente report that workplace surveillance, including AI monitoring of call times and empathy, is undermining patient care and causing staff stress.
Nurses face criticism for calls over 15 minutes.
AI systems track call length, predict unproductivity, and rate empathy.
The Port Index is a free, searchable reference that aggregates 3,804 seaports and 9,640 airports worldwide, offering key details like depths, runways, codes, and coordinates from public-domain datasets—no signup required.
Free index of 3,804 seaports and 9,640 airports across 195 countries
Provides channel depths, vessel limits, runway lengths, and more
Chai Discovery Inc. announced a $400 million Series C funding round, tripling its valuation to $3.8 billion. The company develops AI models to predict biochemical interactions, and its latest model Chai-3 achieves 35-40% hit rates for molecular targets. It has secured partnerships with Pfizer, Eli Lilly, and Novartis, though no AI-discovered drug has yet been approved despite significant investment.
Chai Discovery raises $400M Series C, valuation jumps to $3.8B
New AI model Chai-3 doubles success rates for molecular interaction targets to 35-40%
Aside is an AI-powered discussion platform that mimics Reddit's circle structure, using AI algorithms to rank feeds for personalized content discovery.
Aside uses a circle structure similar to Reddit, allowing communities around specific topics.
AI algorithms rank feeds based on user interests and interactions, enhancing content relevance.
The author shares their extensive experience with AI coding tools. While AI helps explain code and build quickly, it leads to bloated codebases no one fully understands. They worry that only LLMs will maintain such code and note that AI costs may not remain low.
AI coding tools are useful for explaining code and rapid prototyping, but result in code lacking deep thought.
Developers feel less attached to AI-generated code, making it easier to abandon projects.
TikTok is testing an opt-in tool that scans for AI-generated likenesses and allows creators to report unauthorized uses, initially with select US creators.
TikTok begins testing AI likeness detection tool with some US creators.
Creators must verify identity via Jumio before using the tool.
StartupForge AI is an AI-powered tool that helps entrepreneurs transform business ideas into structured startup blueprints, covering market analysis, business models, financial projections, and more.
AI-driven startup planning platform
Automated generation from idea to executable blueprint
Malwarebytes' 2026 report reveals that 85% of people can no longer distinguish real from AI-generated content, 50% have encountered AI-driven scams, with Gen Z most at risk. People are retreating from online sharing due to AI threats, but few take protective actions. The report also uncovers moral contradictions: many fear deepfakes yet find using AI for personal purposes acceptable.
85% of respondents say it's now hard to tell what's real, up from 66% in 2025.
50% of adults have encountered an AI-driven scam, with Gen Z exposure at 67%.
Linus Torvalds defends the use of AI coding tools in Linux development, calling AI a pragmatic tool based on technical merit. He acknowledges AI isn't perfect but urges critics to first look at human shortcomings. Despite studies showing decreased productivity with AI tools, Torvalds emphasizes their utility and reveals he uses 'vibe coding' tools in his hobby projects.
Torvalds says AI is a useful tool and criticism should be based on technical merit, not fear.
He acknowledges AI's imperfections but notes human maintainers also have flaws.
Apple is suing OpenAI. The complaint is readable and intense, as these things often are, though many experts seem to think many of the allegations are just the ways things are done. So what does Apple really want here, and why is it picking such a public fight with OpenAI? On this episode of The Vergecast, Nilay and David go through the lawsuit, and look at Apple's history of splashy litigation to determine whether Apple is worried about a possible competitor or simply looking to capitalize on a weak moment for OpenAI. All this is happening as Apple ships the public betas of its new software, headlined by the new Siri AI, and we have thoughts about what it all means — and whether the new Siri is actually any good.
Apple sues OpenAI; experts say allegations are standard industry practices.
Apple's motive: fear of competition or exploiting OpenAI's weakness?