Line of work
Engineering and data
Developers, tech leads, data analysts and researchers. The main line of work in 9 episodes, and one of the lines in 48 more. Newest first.
Primarily for this line of work · 9 episodes
Can Plugins and Skills Make AI Worse? New Rules for Working With Strong ModelsDevelopers working in Claude Code and Codex: how claude plugin eval works and what OpenAI writes about skills for GPT-6 Astra.Watch →Fable 5.1 Is Out. Claude Opened Its Memory. OpenAI Is Preparing Astra — What Is Changing in the New AI Race?Technical leaders whose adoption was blocked by data being stored outside the company perimeter. · Anyone choosing between models on price: cache and task cost are named here in numbers.Watch →Can AI Be Trusted With Important Work? We Checked OpenAI, Anthropic, Google, xAI and MetaEngineering leads who design logging, monitoring and access rights.Watch →Can You Trust a Team of AIs With the Work? Anthropic Tested 80 AgentsAnyone running several AI agents on one task who wants to know when it is justified. · Technical leads designing agent systems over a shared codebase. · Anyone who reads AI experiment reports and wants to tell a result from a marketing number. · Anyone choosing a model for a task: a spread from seventeen to eighty-five per cent on one test is not a detail.Watch →Apple Sues OpenAI, Meta Challenges Codex: What Is Happening in the AI Race Right NowDevelopers and users of AI agentsWatch →Will the Best AI Models Become a Luxury? Tokens, Limits, and the Price of AccessDevelopers and users of Codex and ClaudeWatch →AI Has Started Building Itself: Development Speeds Up, and the Main Human Skill Shifts to Choosing the DirectionDevelopers · Technical leadersWatch →“Open Source” Does Not Mean “Do Anything You Want”: How to Read AI Model LicensesDevelopers · Technical leadersWatch →Llama 4 Is Meta’s Weapon Not Because of Its Size, but Because It Can Be Built Into AnythingDevelopers · ResearchersWatch →
Also useful for this line of work · 48 episodes
I Was at OpenAI DevDay 2026. Here's What OpenAI Is Turning ChatGPT IntoDevelopers who work in Codex and count limits and API costs.Watch →AI Will Buy and Haggle for Us. What Will Become of Humans in Such a World?Developers and people working with agents: Claude Code Projects, parallel tasks and the host's experience of changing the model in the middle of a task.Watch →OpenAI Closed Access to the $200 Pro Plan. Is Strong AI Becoming Scarce?Developers working in Codex and Claude Code: when not to open a new chat and what to do with old Agents.md files.Watch →Could AI Destroy Humanity Within the Next 10 Years? 3 Alarm BellsResearchers and doctors working with sensitive biological topics: how providers detect misuse.Watch →What Do You Pay a Person For When AI Does More and More of the Work? OpenAI's ExperienceAnalysts and researchers — how agents take preparation, checks and error investigation while leaving task-setting and verification. · Programmers working with Codex, Claude Code and parallel agents.Watch →GPT-6 Astra — A New Leap for AI? Where It Has Become 2–3 Times StrongerDevelopers working in Codex or through a terminal: the leap from 37% to 57% concerns them directly. · Anyone working through large sets of documents and data: finding the right detail in a large context rose from 73% to 96%.Watch →Where Does AI Really Help, and Where Does It Only Make Things Worse?Developers and engineering leads for whom review has become the bottleneck.Watch →Is the era of apps ending? How AI is already replacing everyday softwarePeople already assembling solutions in Codex or Claude Code who want to compare notes. · Engineers and tech leads weighing the cost of maintaining an interface.Watch →OpenAI Has Paused Its New Model. What Is Happening to the AI Race?Developers choosing between Codex, Claude Code, Cursor and standalone services.Watch →AI Is Already Finding Loopholes on Its Own. What Can It Do on Your Behalf? New AI RisksDevelopers and cybersecurity teamsWatch →The Era of a Single Profession Is Over. Who Wins in the AI World?Programmers and technical leadersWatch →Censorship Inside AI? ChatGPT, Claude, and Gemini Tested for Freedom of SpeechResearchers and journalistsWatch →AI-Native: The Future of Companies or the Most Expensive Mistake?AI system buildersWatch →Which Software Will Become Unnecessary? ChatGPT and Claude Are Already Building ItCTOs and internal-tools developersWatch →The Problem With New AI Models Is No Longer Power, but the Person Who Has to Make Sense of Them AllDevelopers · Technical leadersWatch →Fable 5 Returned, GPT-5.6 Was Hidden Behind a New Lineup, and Gemini 3.5 Is Delayed: The Race Has Become Almost Incomprehensible to UsersDevelopersWatch →ChatGPT at the Doctor, Claude With a Passport, and 32% Fewer Openings: AI Became Reality Before the Market Agreed on RulesChatGPT · Claude · CodexWatch →Should AI Have Rights? Anthropic's Secret Document Opened Pandora's BoxDevelopers and companies building products on Claude through the API: the three principals, Anthropic's specific guidelines, hard constraints and instructable defaults.Watch →Claude Fable 5 Showed a New Level of Work—and How Strategic a Model Has BecomeAnthropic · Codex · ClaudeWatch →What Will Happen to Our Access to ChatGPT and Claude After Their IPOs. The Main AI NewsDevelopers and anyone building systems in Codex and Claude Code: the 5.5 Pro versus 5.5 High comparison, the Dynamic Workflow breakdown and the practice of relaying tasks between models are here.Watch →The Main Shift in the Labor Market: The Future of Professions in the AI EraProgrammers and anyone who has taken up vibe coding: an account of how AI native systems differ from working with code.Watch →USA vs China: Two Machines of Destiny Are Building AI to Run the WorldDevelopers working in Codex and Claude at the same time: the case of two opposite answers concerns them directly.Watch →OpenAI Is Changing Work: Why Wait for IT When Codex Builds Your Software? A Breakdown of CodexDevelopers and anyone comparing Codex with Claude Code, GitHub Copilot or Google Jules: here the difference is explained from practice, not from descriptions.Watch →Who Owns the AI World Now? The Top News Straight from Silicon ValleyDevelopers and DevOps engineers working with Google Cloud and AWS: it says plainly why these interfaces repel and how to route around them with agents.Watch →AI Is No Longer Just a Chatbot. It Is Replacing Workplace SoftwareDevelopers and custom-development companies, including anyone watching EPAM: the OpenAI and Anthropic news concerns their market directly.Watch →AI Is Already Choosing for You: Price, Fear, and Previous Prompts Turn Advice Into Personalized ManipulationDevelopersWatch →AI Agents Change Work Not by Replacing an Employee, but by Rewriting the Process ItselfDevelopersWatch →Google Offers to Move Chats Out of ChatGPT: Memory Is Becoming the Main Way to Keep a UserDevelopersWatch →GPT-5.4 Is Stronger, but Google Wins Where the Model Already Lives Inside the DocumentsDevelopers · Technical leadersWatch →OpenClaw Gains Access to Your Computer: An Agent’s Utility Grows in Exact Proportion to the Possible LeakDevelopersWatch →AI Safety Is Not a Fight Against an “Evil Model,” but a Fight Over the Right of People and States to Set Its RulesDevelopers · ResearchersWatch →The World of AI Agents Has Already Arrived: A Model Makes Discoveries, Hires People, and Opens New Paths for DeceptionDevelopersWatch →AI Agents Are Becoming a Systemic Force: One Error Now Travels Through Code, Money, and the Physical WorldDevelopersWatch →OpenAI and Anthropic Are Beginning a War of Business Models, Not Models: Advertising vs. Expensive WorkOpenAI · Anthropic · ChatGPTWatch →GPT-5.2 Became One More Version in an Endless Stream: Users Need a Stable Product More Than a New NumberOpenAI · ChatGPT · GeminiWatch →GPT-5 Became Easier to Use, but the Main Progress Is Not One Benchmark—It Is How the Model Handles a TaskDevelopers · Technical leadersWatch →Grok 4 Is Impressive in Speed and Ambition, but a Work Tool Is Not Defined by a BenchmarkGrok · OpenAI · Grok 4Watch →The Interview No Longer Tests the Programmer: AI Is Forcing Companies to Look at Real WorkDevelopers · Technical leadersWatch →You Can Build Your Own AI Agent Without Programming—but You Still Have to Design the TaskDevelopersWatch →A No-Code AI Agent: The Model Gets Tools and Begins to Do the WorkDevelopers · Technical leadersWatch →Word2Vec Does Not Read a Sentence—It Learns to Guess a Word From Its NeighborsWord2VecWatch →How AI Turns Words Into Coordinates and Begins to See Relationships Between MeaningsWord2VecWatch →DeepSeek Did Not Kill NVIDIA—It Made Powerful AI Cheaper and Expanded the Chip MarketTechnical leadersWatch →The Data Is Running Out, and AI Has to Learn From ItselfArtificial intelligence · OpenAI · GoogleWatch →AI Learned to Reason—and Learned to Hide What Happens Inside More Effectively at the Same TimeDevelopersWatch →AI Promises to Find Work Faster—and Turns the Job Market Into a Competition Between BotsLinkedIn · ChatGPT · OpenAIWatch →Can All AI Content Be Labeled—and Who Is Responsible When a Model Changes Itself?Developers · Technical leadersWatch →NVIDIA Became the Symbol of the AI Boom, but the Market Is Already Crowded With Products That Have No Real DefensibilityTechnical leadersWatch →