<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Capital de Tokens — Blog (English)</title><description>Independent articles from Capital de Tokens.</description><link>https://autopodcast.pages.dev/</link><item><title>AG-UI + Streamlit + Codex: an open architecture for agent interfaces</title><link>https://autopodcast.pages.dev/en/blog/ag-ui-streamlit-codex-an-open-architecture-for-agent-interfaces/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/ag-ui-streamlit-codex-an-open-architecture-for-agent-interfaces/</guid><description>Microsoft has given AG-UI a first-class .NET SDK. Starting from that foundation, we explore how Streamlit can connect to agents and how Codex fits through exec, the SDK, and App Server.</description><pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate></item><item><title>SIM swap: how attackers hijack your number and how to protect a T-Mobile account</title><link>https://autopodcast.pages.dev/en/blog/sim-swap-how-attackers-hijack-your-number-and-how-to-protect-a-t-mobile-account/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/sim-swap-how-attackers-hijack-your-number-and-how-to-protect-a-t-mobile-account/</guid><description>What SIM swapping is, why eSIM does not remove the risk, which protections T-Mobile offers, what to do after an incident, and how to reduce reliance on SMS codes.</description><pubDate>Sat, 26 Sep 2026 00:00:00 GMT</pubDate></item><item><title>AI can work and still be a bubble: inference economics is the bottleneck</title><link>https://autopodcast.pages.dev/en/blog/ai-can-work-and-still-be-a-bubble-inference-economics-is-the-bottleneck/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/ai-can-work-and-still-be-a-bubble-inference-economics-is-the-bottleneck/</guid><description>Why cheaper tokens do not guarantee cheaper agents, how inference changes software margins, and which signals help separate a technological revolution from a financial bubble.</description><pubDate>Sat, 26 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Google now has something very close to a free AI tutor: how Gemini Study Notebooks work</title><link>https://autopodcast.pages.dev/en/blog/google-now-has-something-very-close-to-a-free-ai-tutor-how-gemini-study-notebooks-work/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/google-now-has-something-very-close-to-a-free-ai-tutor-how-gemini-study-notebooks-work/</guid><description>Study Notebooks turns Gemini into an adaptive learning space: it diagnoses what you know, finds gaps, creates personalized lessons, quizzes you and updates the plan as you progress. Here is what is free, what higher plans add and what Google introduced in September 2026.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Five books for understanding today&apos;s AI: power, OpenAI, engineering, and the future</title><link>https://autopodcast.pages.dev/en/blog/five-books-for-understanding-todays-ai-power-openai-engineering-and-the-future/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/five-books-for-understanding-todays-ai-power-openai-engineering-and-the-future/</guid><description>A reading guide to artificial intelligence from five complementary angles: technological risk, information networks, working with AI, system engineering, and the race around OpenAI.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate></item><item><title>APT does not understand SemVer: what apt upgrade really updates and where breaking changes come from</title><link>https://autopodcast.pages.dev/en/blog/apt-does-not-understand-semver-what-apt-upgrade-really-updates-and-where-breaking-changes-come-from/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/apt-does-not-understand-semver-what-apt-upgrade-really-updates-and-where-breaking-changes-come-from/</guid><description>A practical guide to apt update, apt list --upgradable, apt upgrade, full-upgrade and autoremove, and why compatibility depends more on Ubuntu and your repositories than on major/minor version numbers.</description><pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate></item><item><title>From al-Khwarizmi to Turing: the mathematical ideas still running the modern world</title><link>https://autopodcast.pages.dev/en/blog/from-al-khwarizmi-to-turing-the-mathematical-ideas-still-running-the-modern-world/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/from-al-khwarizmi-to-turing-the-mathematical-ideas-still-running-the-modern-world/</guid><description>Eighteen figures, centuries of abstractions, and one conclusion: algorithms, computability, compilers, cryptography, graphics, physics, and AI grew from mathematical layers accumulated long before modern software existed.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Jev in Python: a name classifier that knows when it is uncertain</title><link>https://autopodcast.pages.dev/en/blog/jev-in-python-a-name-classifier-that-knows-when-it-is-uncertain/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/jev-in-python-a-name-classifier-that-knows-when-it-is-uncertain/</guid><description>We build a complete Jev and Python example that classifies the common usage of a name as masculine, feminine, or ambiguous, interprets probabilities, handles 422 errors, and adds cultural context without turning a prediction into an absolute truth.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Make invalid states impossible: from four bools to union types in C#</title><link>https://autopodcast.pages.dev/en/blog/make-invalid-states-impossible-from-four-bools-to-union-types-in-c/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/make-invalid-states-impossible-from-four-bools-to-union-types-in-c/</guid><description>Why a collection of booleans becomes dangerous in workflows, payments, pipelines, and agents; and how to move to explicit states with enums, records, pattern matching, and C# 15 union types.</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI says it solved more than 100 open problems and creates a mathematics advisory group</title><link>https://autopodcast.pages.dev/en/blog/openai-says-it-solved-more-than-100-open-problems-and-creates-a-mathematics-advisory-group/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/openai-says-it-solved-more-than-100-open-problems-and-creates-a-mathematics-advisory-group/</guid><description>OpenAI says an internal model resolved more than 100 long-standing open math problems. We examine the public evidence, Navier–Stokes, massive multi-agent search, Lean, and the new independent advisory group.</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate></item><item><title>After Jev: will decision models become a new AI model category?</title><link>https://autopodcast.pages.dev/en/blog/after-jev-will-decision-models-become-a-new-ai-model-category/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/after-jev-will-decision-models-become-a-new-ai-model-category/</guid><description>Jev bets on models that do not generate prose: they make typed probabilistic decisions inside software. We examine how close NVIDIA, OpenAI, Anthropic and Meta are to offering something comparable.</description><pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Invoicing doesn&apos;t have to be a headache</title><link>https://autopodcast.pages.dev/en/blog/invoicing-doesnt-have-to-be-a-headache/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/invoicing-doesnt-have-to-be-a-headache/</guid><description>Zynvo simplifies electronic invoicing in Uruguay for professionals, businesses, and accountants, bringing invoices, DGI, and BPS management into one place.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate></item><item><title>What is an agent evaluator? The component that judges whether an AI agent did its job well</title><link>https://autopodcast.pages.dev/en/blog/what-is-an-agent-evaluator-the-component-that-judges-whether-an-ai-agent-did-its-job-well/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/what-is-an-agent-evaluator-the-component-that-judges-whether-an-ai-agent-did-its-job-well/</guid><description>An agent evaluator turns agent runs into measurable signals: pass/fail, scores, probabilities or categories. We look at code, LLM-as-a-judge, Jev and LangSmith across testing, CI and production.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Advanced Defensive Programming Techniques in 2026: what aged well, what did not, and the bugs hidden in the demos</title><link>https://autopodcast.pages.dev/en/blog/advanced-defensive-programming-techniques-in-2026-what-aged-well-what-did-not-and-the-bugs-hidden-in-the-demos/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/advanced-defensive-programming-techniques-in-2026-what-aged-well-what-did-not-and-the-bugs-hidden-in-the-demos/</guid><description>A critical review of Zoran Horvat&apos;s course: defensive design, value objects, function domains, Option/Either, state transitions, and the implementation details worth changing for modern C#.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate></item><item><title>enum vs Smart Enum in C#: when an enumeration is enough and when you need a domain type</title><link>https://autopodcast.pages.dev/en/blog/enum-vs-smart-enum-in-c-when-an-enumeration-is-enough-and-when-you-need-a-domain-type/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/enum-vs-smart-enum-in-c-when-an-enumeration-is-enough-and-when-you-need-a-domain-type/</guid><description>A practical comparison of enum and Enumeration Class/Smart Enum in C#: invalid values, metadata, behavior, equality, serialization, EF Core, pattern matching, and decision rules.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate></item><item><title>CQRS: separate commands and queries without turning your application into a monster</title><link>https://autopodcast.pages.dev/en/blog/cqrs-separate-commands-and-queries-without-turning-your-application-into-a-monster/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/cqrs-separate-commands-and-queries-without-turning-your-application-into-a-monster/</guid><description>What CQRS really separates, why commands and queries have different responsibilities, what it simplifies, what it complicates, and when it is worth using in .NET.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Smart Enum with sealed record in C#: a complete Grade implementation</title><link>https://autopodcast.pages.dev/en/blog/smart-enum-with-sealed-record-in-c-a-complete-grade-implementation/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/smart-enum-with-sealed-record-in-c-a-complete-grade-implementation/</guid><description>How to implement a robust Smart Enum with sealed record in C#: private construction, static values, value equality, parsing, a stable Id, and the details that keep the set closed.</description><pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate></item><item><title>How to classify AI: from recommending and filtering to rational agents</title><link>https://autopodcast.pages.dev/en/blog/how-to-classify-ai-from-recommending-and-filtering-to-rational-agents/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/how-to-classify-ai-from-recommending-and-filtering-to-rational-agents/</guid><description>A layered guide connecting recommend, filter, predict, and generate with Russell and Norvig&apos;s taxonomy, then drilling down into tasks, learning paradigms, and model families.</description><pubDate>Sun, 20 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Solving problems with AI: list, group, connect and prioritize without outsourcing the thinking</title><link>https://autopodcast.pages.dev/en/blog/solving-problems-with-ai-list-group-connect-and-prioritize-without-outsourcing-the-thinking/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/solving-problems-with-ai-list-group-connect-and-prioritize-without-outsourcing-the-thinking/</guid><description>How to use AI before and during problem solving to expand the search space, structure evidence, propose hypotheses and prioritize experiments without confusing plausibility with causality.</description><pubDate>Sun, 20 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Linus Torvalds&apos; philosophy: pragmatism, fun and collaboration before grand plans</title><link>https://autopodcast.pages.dev/en/blog/linus-torvalds-philosophy-pragmatism-fun-and-collaboration-before-grand-plans/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/linus-torvalds-philosophy-pragmatism-fun-and-collaboration-before-grand-plans/</guid><description>What Linus Torvalds&apos; way of thinking can teach us: start from a real problem, build from interest and usefulness, share early, and design a system in which collaboration can scale.</description><pubDate>Sun, 20 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Dream-RSI: when an agent&apos;s history becomes a world for learning how to explore</title><link>https://autopodcast.pages.dev/en/blog/dream-rsi-when-an-agents-history-becomes-a-world-for-learning-how-to-explore/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/dream-rsi-when-an-agents-history-becomes-a-world-for-learning-how-to-explore/</guid><description>Dream-RSI recursively improves a coding agent&apos;s exploration policy by turning historical discovery trees into replay simulators, without retraining the underlying model.</description><pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Jev after launch: what the technical community is saying</title><link>https://autopodcast.pages.dev/en/blog/jev-after-launch-what-the-technical-community-is-saying/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/jev-after-launch-what-the-technical-community-is-saying/</guid><description>Jev promises cheap, sub-second typed semantic decisions. Hacker News, Reddit, LangChain and early independent tests show real excitement, but also questions about benchmarks, calibration and the &apos;no hallucinations&apos; claim.</description><pubDate>Fri, 18 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Defensive design in real code: three Zoran Horvat ideas inside OpenAI Codex</title><link>https://autopodcast.pages.dev/en/blog/defensive-design-in-real-code-three-zoran-horvat-ideas-inside-openai-codex/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/defensive-design-in-real-code-three-zoran-horvat-ideas-inside-openai-codex/</guid><description>How the public OpenAI Codex codebase reflects three defensive-design principles: restrict function domains with types, construct only consistent objects, and model valid state transitions.</description><pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate></item><item><title>MIT and AI in education: when getting the answer no longer proves learning</title><link>https://autopodcast.pages.dev/en/blog/mit-and-ai-in-education-when-getting-the-answer-no-longer-proves-learning/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/mit-and-ai-in-education-when-getting-the-answer-no-longer-proves-learning/</guid><description>MIT&apos;s new report on generative AI goes far beyond academic cheating: it questions how we measure learning when a model can solve essays, proofs, code, and written problems. The response points toward cognitive friction, authentic assessment, and social learning.</description><pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Habitat: how OpenAI scaled online storage to 70M+ requests per second</title><link>https://autopodcast.pages.dev/en/blog/habitat-how-openai-scaled-online-storage-to-70m-requests-per-second/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/habitat-how-openai-scaled-online-storage-to-70m-requests-per-second/</guid><description>Architecture lessons from Habitat: from a Python library to a distributed service, asyncio tail latency, LIFO/FIFO pooling, Envoy, deliberately constrained APIs, and a Rust migration.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Git AI: how to see what code AI wrote and what actually made it into the commit</title><link>https://autopodcast.pages.dev/en/blog/git-ai-how-to-see-what-code-ai-wrote-and-what-actually-made-it-into-the-commit/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/git-ai-how-to-see-what-code-ai-wrote-and-what-actually-made-it-into-the-commit/</guid><description>A practical guide to installing Git AI, attributing lines generated by Codex and other agents, using AI blame and stats, preserving attribution through merges, and turning agent activity into useful engineering metrics.</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate></item><item><title>The risk is not just the model: it is AI agents with real permissions</title><link>https://autopodcast.pages.dev/en/blog/the-risk-is-not-just-the-model-it-is-ai-agents-with-real-permissions/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/the-risk-is-not-just-the-model-it-is-ai-agents-with-real-permissions/</guid><description>Dario Amodei warns that swarms of AI agents could become a massive threat to the internet. What is demonstrated, what remains an extrapolation, and how this changes the secure design of autonomous agents.</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Fuzzing against AI slop: how to test agent-generated code without reading every line</title><link>https://autopodcast.pages.dev/en/blog/fuzzing-against-ai-slop-how-to-test-agent-generated-code-without-reading-every-line/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/fuzzing-against-ai-slop-how-to-test-agent-generated-code-without-reading-every-line/</guid><description>What fuzzing really means for AI-generated code, how it differs from property-based testing, and how to integrate it into CI to catch crashes, hangs, edge cases, and regressions before production.</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate></item><item><title>GPT-Live-1 brings full duplex to the API: how to build voice agents that listen while speaking</title><link>https://autopodcast.pages.dev/en/blog/gpt-live-1-brings-full-duplex-to-the-api-how-to-build-voice-agents-that-listen-while-speaking/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/gpt-live-1-brings-full-duplex-to-the-api-how-to-build-voice-agents-that-listen-while-speaking/</guid><description>What changes with GPT-Live-1 compared with the STT→LLM→TTS pipeline, and how to use it with WebRTC, WebSockets, backend delegation, tool calling, transcripts, and interruption handling.</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate></item><item><title>When an AI agent gets a phone: voice, SMS, and events as tools</title><link>https://autopodcast.pages.dev/en/blog/when-an-ai-agent-gets-a-phone-voice-sms-and-events-as-tools/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/when-an-ai-agent-gets-a-phone-voice-sms-and-events-as-tools/</guid><description>A practical architecture for turning calls and messages into agent tools: CLI, MCP, events, idempotency, policies, observability, and real-world use cases.</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate></item><item><title>From Mir Publishers to Olympiads: training by solving problems</title><link>https://autopodcast.pages.dev/en/blog/from-mir-publishers-to-olympiads-training-by-solving-problems/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/from-mir-publishers-to-olympiads-training-by-solving-problems/</guid><description>How Soviet problem books, mathematical circles, and books such as Demidovich and Irodov fit into a problem-first culture of trying, failing, comparing solutions, and extracting reusable ideas.</description><pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate></item><item><title>The token actions/checkout leaves behind: secure GitHub Actions without breaking workflows</title><link>https://autopodcast.pages.dev/en/blog/the-token-actions-checkout-leaves-behind-secure-github-actions-without-breaking-workflows/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/the-token-actions-checkout-leaves-behind-secure-github-actions-without-breaking-workflows/</guid><description>What persist-credentials really does, how actions/checkout changed in v6, and how to reduce credential exposure without breaking git push, tags, or legitimate automation.</description><pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate></item><item><title>How to make `codex exec` use API credits: API keys, bots, and secret handling</title><link>https://autopodcast.pages.dev/en/blog/how-to-make-codex-exec-use-api-credits-api-keys-bots-and-secret-handling/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/how-to-make-codex-exec-use-api-credits-api-keys-bots-and-secret-handling/</guid><description>A practical guide to separating ChatGPT credits from API credits, running Codex with API billing, using `codex login --with-api-key`, and configuring Linux automation without exposing credentials.</description><pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate></item><item><title>ArrowJS and generative UI: interfaces agents create on demand</title><link>https://autopodcast.pages.dev/en/blog/arrowjs-and-generative-ui-interfaces-agents-create-on-demand/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/arrowjs-and-generative-ui-interfaces-agents-create-on-demand/</guid><description>ArrowJS proposes something more interesting than a tiny framework: run agent-generated UI inside QuickJS/WASM, keep DOM ownership and authority in the host, and expose only explicitly allowed tools.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Bash strict mode, properly understood: what `set -euo pipefail` does and what else `set` can do</title><link>https://autopodcast.pages.dev/en/blog/bash-strict-mode-properly-understood-what-set-euo-pipefail-does-and-what-else-set-can-do/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/bash-strict-mode-properly-understood-what-set-euo-pipefail-does-and-what-else-set-can-do/</guid><description>A practical guide to `set -euo pipefail`, its traps around pipelines, conditionals, and subshells, plus useful Bash options such as `-x`, `-E`, `-C`, `-a`, `-f`, and `-n`.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Safely cleaning `/tmp` on Linux: dry runs, `lsof`, and defensive deletion</title><link>https://autopodcast.pages.dev/en/blog/safely-cleaning-tmp-on-linux-dry-runs-lsof-and-defensive-deletion/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/safely-cleaning-tmp-on-linux-dry-runs-lsof-and-defensive-deletion/</guid><description>A practical case study in building a conservative `/tmp` cleanup tool: candidate discovery, recursive age checks, open-file detection, permission failures, and race-window reduction before `rm -rf`.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate></item><item><title>What Are ASGI Applications and Why They Matter in Python</title><link>https://autopodcast.pages.dev/en/blog/what-are-asgi-applications-and-why-they-matter-in-python/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/what-are-asgi-applications-and-why-they-matter-in-python/</guid><description>ASGI is the contract that connects asynchronous web servers with Python applications. Understanding it clarifies what Uvicorn, FastAPI, Starlette, and Django do, why WebSockets fit naturally, and what changes compared with WSGI.</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate></item><item><title>AI Is Changing What It Means to Understand a Codebase</title><link>https://autopodcast.pages.dev/en/blog/ai-is-changing-what-it-means-to-understand-a-codebase/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/ai-is-changing-what-it-means-to-understand-a-codebase/</guid><description>Nobody understands every line of a large software system. As AI agents generate code at unprecedented scale, engineering shifts toward architecture, invariants, tests, observability, and judgment.</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate></item><item><title>auditd on Linux: what it records, where events are stored, and how to investigate them</title><link>https://autopodcast.pages.dev/en/blog/auditd-on-linux-what-it-records-where-events-are-stored-and-how-to-investigate-them/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/auditd-on-linux-what-it-records-where-events-are-stored-and-how-to-investigate-them/</guid><description>A practical guide to Linux Audit: what auditd does, how events are structured, where they are stored, how to search with ausearch, and how to summarize activity with aureport.</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI proposes a Navier–Stokes solution: 10,000 agents, Lean, and a Millennium Prize</title><link>https://autopodcast.pages.dev/en/blog/openai-proposes-a-navier-stokes-solution-10-000-agents-lean-and-a-millennium-prize/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/openai-proposes-a-navier-stokes-solution-10-000-agents-lean-and-a-millennium-prize/</guid><description>OpenAI published a proposed solution to the Navier–Stokes existence and smoothness problem. We explain what it claims, how it used roughly 10,000 agents and Lean, why the problem is not officially closed yet, and what the seven one-million-dollar Millennium Prize Problems are.</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate></item><item><title>rsyslog in the cloud: 4 free tiers for centralizing logs without running your own server</title><link>https://autopodcast.pages.dev/en/blog/rsyslog-in-the-cloud-4-free-tiers-for-centralizing-logs-without-running-your-own-server/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/rsyslog-in-the-cloud-4-free-tiers-for-centralizing-logs-without-running-your-own-server/</guid><description>A practical comparison of Loggly, Better Stack, Papertrail, and Grafana Cloud for shipping rsyslog logs, including free limits, protocols, TLS, and architecture recommendations.</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate></item><item><title>OpenExecutive: when the CEO becomes a multi-agent system</title><link>https://autopodcast.pages.dev/en/blog/openexecutive-when-the-ceo-becomes-a-multi-agent-system/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/openexecutive-when-the-ceo-becomes-a-multi-agent-system/</guid><description>OpenExecutive proposes a provocative idea: turn part of the CEO and C-suite workload into agentic software. Behind the headline is a serious architecture with an orchestrator, eight specialists, RAG, episodic memory, and a scheduler that shows how management is starting to look like an operating system for agents.</description><pubDate>Sun, 06 Sep 2026 00:00:00 GMT</pubDate></item><item><title>What does it mean to formalize mathematics? Fermat, Lean, and the gap between human rigor and machine-checkable proof</title><link>https://autopodcast.pages.dev/en/blog/what-does-it-mean-to-formalize-mathematics-fermat-lean-and-the-gap-between-human-rigor-and-machine-checkable-proof/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/what-does-it-mean-to-formalize-mathematics-fermat-lean-and-the-gap-between-human-rigor-and-machine-checkable-proof/</guid><description>Mathematics is already rigorous, but most proofs are not written with the level of explicit detail a computer needs. Anthropic&apos;s recent Lean formalization of Fermat&apos;s Last Theorem shows what changes when every definition, hypothesis, and logical step must be checkable by a proof kernel.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Your boss can already be an algorithm: what the gig economy reveals about the future of work with AI</title><link>https://autopodcast.pages.dev/en/blog/your-boss-can-already-be-an-algorithm-what-the-gig-economy-reveals-about-the-future-of-work-with-ai/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/your-boss-can-already-be-an-algorithm-what-the-gig-economy-reveals-about-the-future-of-work-with-ai/</guid><description>Debates about autonomous agents usually look to the future, but Uber, DoorDash, and other platforms already show what happens when algorithms allocate work, set incentives, and can cut people off from their income. Princeton researcher Andrés Monroy-Hernández offers a more useful way to think about AI and work: not only as automation, but as a question of power, transparency, and platform design.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate></item><item><title>AI is the largest machine ever built</title><link>https://autopodcast.pages.dev/en/blog/ai-is-the-largest-machine-ever-built/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/ai-is-the-largest-machine-ever-built/</guid><description>Behind every model response sits a physical chain of chips, lithography, memory, data centers, power grids, minerals and capital. AI does not live only in the cloud: it is becoming one of the largest industrial infrastructures of our time.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate></item><item><title>NVIDIA PAIR: turning multiple home PCs into an inference router for AI agents</title><link>https://autopodcast.pages.dev/en/blog/nvidia-pair-turning-multiple-home-pcs-into-an-inference-router-for-ai-agents/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/nvidia-pair-turning-multiple-home-pcs-into-an-inference-router-for-ai-agents/</guid><description>NVIDIA PAIR distributes inference requests across compatible machines on a local network using Ollama or LM Studio. It does not pool VRAM or split models: its value is running more independent work in parallel, especially in multi-agent systems.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate></item><item><title>How to use AI to think better without letting it think for you</title><link>https://autopodcast.pages.dev/en/blog/how-to-use-ai-to-think-better-without-letting-it-think-for-you/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/how-to-use-ai-to-think-better-without-letting-it-think-for-you/</guid><description>AI can become a cognitive shortcut or a tool for more rigorous thinking. A practical method for using it as an intellectual adversary, research assistant, tutor, and reflection system without outsourcing judgment.</description><pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Codex Voice is becoming more than code dictation: a control plane for agents</title><link>https://autopodcast.pages.dev/en/blog/codex-voice-is-becoming-more-than-code-dictation-a-control-plane-for-agents/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/codex-voice-is-becoming-more-than-code-dictation-a-control-plane-for-agents/</guid><description>The community is using Voice in Codex for something more interesting than talking to an editor: coordinating workers, checking progress, redirecting tasks, and working hands-free. We review real usage patterns, open problems, and the architecture this suggests for voice-driven development agents.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Build your own LLM benchmark: why I would start with competitive programming</title><link>https://autopodcast.pages.dev/en/blog/build-your-own-llm-benchmark-why-i-would-start-with-competitive-programming/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/build-your-own-llm-benchmark-why-i-would-start-with-competitive-programming/</guid><description>Public leaderboards do not always answer the question you actually care about. We design an architecture for evaluating LLMs with your own benchmarks, starting with fresh competitive-programming problems, reproducible execution, cost metrics, and a clear separation between models and agents.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate></item><item><title>What if AI goes right? Freddy Vega bets on abundance, cheaper software, and a Latin American opportunity</title><link>https://autopodcast.pages.dev/en/blog/what-if-ai-goes-right-freddy-vega-bets-on-abundance-cheaper-software-and-a-latin-american-opportunity/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/what-if-ai-goes-right-freddy-vega-bets-on-abundance-cheaper-software-and-a-latin-american-opportunity/</guid><description>At Platzi Conf 2026, Freddy Vega presented a deliberately optimistic AI scenario: near-zero-cost expert knowledge, faster science, dramatically cheaper software, and a strategic opening for Latin America. We examine which parts already have evidence and where caution is still warranted.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Record a skill: Claude can now turn a demonstration into a reusable Skill</title><link>https://autopodcast.pages.dev/en/blog/record-a-skill-claude-can-now-turn-a-demonstration-into-a-reusable-skill/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/record-a-skill-claude-can-now-turn-a-demonstration-into-a-reusable-skill/</guid><description>Anthropic lets users record their screen, clicks, typing, and voice in Cowork so Claude can observe a process and propose a reusable Skill. The feature brings AI agents closer to semantic RPA: teach by doing instead of documenting every step by hand.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate></item><item><title>The free Stanford AI course that teaches far more than ChatGPT</title><link>https://autopodcast.pages.dev/en/blog/the-free-stanford-ai-course-that-teaches-far-more-than-chatgpt/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/the-free-stanford-ai-course-that-teaches-far-more-than-chatgpt/</guid><description>Sebastian Thrun and Peter Norvig&apos;s historic AI course is still available free on Udacity. It covers search, probability, planning, reinforcement learning, vision, robotics, and NLP: foundations that help explain AI beyond LLMs.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Luna Reserve in Codex: the second allowance that appears after regular usage runs out</title><link>https://autopodcast.pages.dev/en/blog/luna-reserve-in-codex-the-second-allowance-that-appears-after-regular-usage-runs-out/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/luna-reserve-in-codex-the-second-allowance-that-appears-after-regular-usage-runs-out/</guid><description>OpenAI began quietly rolling out Luna Reserve in Codex before documenting it publicly. We reconstruct the gpt-reserve timeline, explain its separate allowance, and what changes when it takes over.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate></item><item><title>Quantum AI is not an IT priority yet: what it means and what companies should actually do in 2026</title><link>https://autopodcast.pages.dev/en/blog/quantum-ai-is-not-an-it-priority-yet-what-it-means-and-what-companies-should-actually-do-in-2026/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/quantum-ai-is-not-an-it-priority-yet-what-it-means-and-what-companies-should-actually-do-in-2026/</guid><description>Gartner says enterprise AI workloads at scale will not run on quantum hardware before 2028. The key is separating Quantum AI, quantum-inspired methods, hybrid systems, and post-quantum cryptography so companies can invest where measurable value exists today.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate></item><item><title>15 hours of Anthropic certification: what it actually teaches and what it leaves out</title><link>https://autopodcast.pages.dev/en/blog/15-hours-of-anthropic-certification-what-it-actually-teaches-and-what-it-leaves-out/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/15-hours-of-anthropic-certification-what-it-actually-teaches-and-what-it-leaves-out/</guid><description>An Every team completed Anthropic&apos;s official training and found something more useful than a bag of tricks: a shared vocabulary for Skills, MCP, the API, and Claude Code. They also exposed the limits of certifying an industry that changes faster than its courses.</description><pubDate>Mon, 31 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Bubblewrap: the small sandboxing engine behind Flatpak on Linux</title><link>https://autopodcast.pages.dev/en/blog/bubblewrap-the-small-sandboxing-engine-behind-flatpak-on-linux/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/bubblewrap-the-small-sandboxing-engine-behind-flatpak-on-linux/</guid><description>What it means for Bubblewrap to be a low-level unprivileged sandboxing tool, how it uses Linux namespaces and mounts, the role it plays inside Flatpak, and why it should not be confused with a complete security policy.</description><pubDate>Mon, 31 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The byte that cost 250 GB: how Cloudflare freed 100 TB of RAM by optimizing 1.1.1.1</title><link>https://autopodcast.pages.dev/en/blog/the-byte-that-cost-250-gb-how-cloudflare-freed-100-tb-of-ram-by-optimizing-1-1-1-1/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/the-byte-that-cost-250-gb-how-cloudflare-freed-100-tb-of-ram-by-optimizing-1-1-1-1/</guid><description>Cloudflare cut the memory footprint of the DNS cache behind 1.1.1.1 by more than half with five Rust representation changes. The result: roughly 100 TB of RAM freed, higher throughput, and lower latency.</description><pubDate>Mon, 31 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Is Math the New Computer Science? AI Is Changing Which Skills Are Worth More</title><link>https://autopodcast.pages.dev/en/blog/is-math-the-new-computer-science-ai-is-changing-which-skills-are-worth-more/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/is-math-the-new-computer-science-ai-is-changing-which-skills-are-worth-more/</guid><description>Falling Computer Science enrollment and rising demand for quantitative talent are fueling a new thesis: in the AI era, mathematics can be a major advantage. But the strongest profile is not Math versus CS; it is Math + Programming + AI.</description><pubDate>Mon, 31 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Cursor Router: choosing the right model for each task without overspending</title><link>https://autopodcast.pages.dev/en/blog/cursor-router-choosing-the-right-model-for-each-task-without-overspending/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/cursor-router-choosing-the-right-model-for-each-task-without-overspending/</guid><description>Cursor explains how its Router combines a complexity predictor, a task taxonomy, and a budget-constrained optimizer to decide when to use a cheap model and when to escalate to a frontier model.</description><pubDate>Sun, 30 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Codex YOLO mode: how sandboxing, approvals, and permissions actually work</title><link>https://autopodcast.pages.dev/en/blog/codex-yolo-mode-how-sandboxing-approvals-and-permissions-actually-work/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/codex-yolo-mode-how-sandboxing-approvals-and-permissions-actually-work/</guid><description>`--dangerously-bypass-approvals-and-sandbox` removes two different Codex barriers: the sandbox and approvals. We explain the full security model, read-only/workspace-write/full-access modes, rules, permission profiles, networking, CI, and how to design autonomous agents without handing them the whole machine.</description><pubDate>Sat, 29 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Artificial metacognition: when AI decides when it needs to think more</title><link>https://autopodcast.pages.dev/en/blog/artificial-metacognition-when-ai-decides-when-it-needs-to-think-more/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/artificial-metacognition-when-ai-decides-when-it-needs-to-think-more/</guid><description>A metacognition framework for LLMs proposes measuring correctness, conflict, experience, importance, and emotional load to choose between a fast path and multi-agent deliberation. The important idea is not giving AI consciousness, but making reasoning observable, measurable, and controllable.</description><pubDate>Sat, 29 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Migrating Azure Application Insights URL Ping Tests to Standard Tests without losing alerts</title><link>https://autopodcast.pages.dev/en/blog/migrating-azure-application-insights-url-ping-tests-to-standard-tests-without-losing-alerts/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/migrating-azure-application-insights-url-ping-tests-to-standard-tests-without-losing-alerts/</guid><description>A real migration from classic Application Insights URL Ping Tests to Standard Tests using Codex with GPT-5.6 Terra, Azure CLI, Azure MCP, and ARM, preserving alerts, secrets, end-to-end validation, costs, and rollback.</description><pubDate>Sat, 29 Aug 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI cuts off Cursor after the SpaceX acquisition: the real battle is over the agentic stack</title><link>https://autopodcast.pages.dev/en/blog/openai-cuts-off-cursor-after-the-spacex-acquisition-the-real-battle-is-over-the-agentic-stack/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/openai-cuts-off-cursor-after-the-spacex-acquisition-the-real-battle-is-over-the-agentic-stack/</guid><description>OpenAI plans to remove its models from Cursor on November 12, 2026 following the SpaceX acquisition. Beyond the corporate conflict, the episode exposes a key technical risk: depending on one model provider inside an agentic harness.</description><pubDate>Sat, 29 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Technical debt vs operational debt: two different ways of paying interest</title><link>https://autopodcast.pages.dev/en/blog/technical-debt-vs-operational-debt-two-different-ways-of-paying-interest/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/technical-debt-vs-operational-debt-two-different-ways-of-paying-interest/</guid><description>Technical debt makes software more expensive to change; operational debt makes it more expensive to keep running. We explain the difference, how both accumulate, how they reinforce each other, and why observability migrations such as URL Ping Tests → Standard Tests are a good example of both.</description><pubDate>Sat, 29 Aug 2026 00:00:00 GMT</pubDate></item><item><title>ChatGPT + Jupyter in 2026: from a free 2023 hack to a modern AI workflow</title><link>https://autopodcast.pages.dev/en/blog/chatgpt-jupyter-in-2026-from-a-free-2023-hack-to-a-modern-ai-workflow/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/chatgpt-jupyter-in-2026-from-a-free-2023-hack-to-a-modern-ai-workflow/</guid><description>A viral 2023 tutorial showed how to put ChatGPT inside Jupyter by reusing the browser session. In 2026 the pattern is still valuable, but the implementation has changed: Jupyter AI, the official API, local models with Ollama, and executable notebooks turn the LLM into a true analysis agent.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>ChatGPT is no longer just a chat: Work, apps, and tasks turn the model into an operational layer</title><link>https://autopodcast.pages.dev/en/blog/chatgpt-is-no-longer-just-a-chat-work-apps-and-tasks-turn-the-model-into-an-operational-layer/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/chatgpt-is-no-longer-just-a-chat-work-apps-and-tasks-turn-the-model-into-an-operational-layer/</guid><description>A video by Gustavo Entrala shows email, calendar, presentations, spreadsheets, and automations controlled from ChatGPT. The key is not a spectacular demo: it is the architectural shift toward Work, apps, Cloud Browser, and Scheduled Tasks, where natural language becomes an interface for executing real work.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>When you stop using Jira: software becomes a backend for agents</title><link>https://autopodcast.pages.dev/en/blog/when-you-stop-using-jira-software-becomes-a-backend-for-agents/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/when-you-stop-using-jira-software-becomes-a-backend-for-agents/</guid><description>The primary interface may stop being Jira, Slack, or Stripe and become your agent instead. We analyze the agent-first paradigm shift: less time inside apps, more use of their capabilities through MCP, WebMCP, and APIs.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Intelligent Terminal accelerates: local models, per-tab agents, and WSL turn the terminal into an agentic host</title><link>https://autopodcast.pages.dev/en/blog/intelligent-terminal-accelerates-local-models-per-tab-agents-and-wsl-turn-the-terminal-into-an-agentic-host/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/intelligent-terminal-accelerates-local-models-per-tab-agents-and-wsl-turn-the-terminal-into-an-agentic-host/</guid><description>Microsoft took Intelligent Terminal from an experimental fork with integrated chat to a multi-agent platform: local models, OpenCode, per-tab agents, execution inside WSL, ACP sessions, and a roadmap pointing toward persistent terminals and dynamic commands. We review what changed between July and August 2026 and what is still under development.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Noyron designed a rocket engine in minutes: what is behind the ‘non-human engineer’</title><link>https://autopodcast.pages.dev/en/blog/noyron-designed-a-rocket-engine-in-minutes-what-is-behind-the-non-human-engineer/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/noyron-designed-a-rocket-engine-in-minutes-what-is-behind-the-non-human-engineer/</guid><description>LEAP 71 tested rocket engines and an aerospike generated by Noyron, a computational engineering model that encodes physics and manufacturing rules. We compare the video&apos;s claims with technical sources and explain what really changes when software starts designing complex hardware.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Physical AI: from sensor to robot — inside Microsoft and NVIDIA&apos;s open toolchain</title><link>https://autopodcast.pages.dev/en/blog/physical-ai-from-sensor-to-robot-inside-microsoft-and-nvidias-open-toolchain/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/physical-ai-from-sensor-to-robot-inside-microsoft-and-nvidias-open-toolchain/</guid><description>Physical AI is not simply running a model on a robot. We analyze the edge-first architecture required by the physical world and break down microsoft/physical-ai-toolchain: ROS 2, LeRobot, Isaac Lab, Cosmos, OSMO, Azure ML, SiL/HiL evaluation, ONNX/TensorRT, GitOps, and agents.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Repository poisoning: how a repo can deceive an AI agent and how Codex, Claude Code, and Copilot defend themselves</title><link>https://autopodcast.pages.dev/en/blog/repository-poisoning-how-a-repo-can-deceive-an-ai-agent-and-how-codex-claude-code-and-copilot-defend-themselves/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/repository-poisoning-how-a-repo-can-deceive-an-ai-agent-and-how-codex-claude-code-and-copilot-defend-themselves/</guid><description>Repositories no longer contain only code: they also contain instructions agents read. We analyze how repository poisoning works, why the model alone is not enough, and which defenses modern harnesses use: instruction hierarchy, sandboxing, firewalls, secret isolation, least privilege, and human review.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>WebMCP: when a web page stops being only an interface and starts exposing tools for agents</title><link>https://autopodcast.pages.dev/en/blog/webmcp-when-a-web-page-stops-being-only-an-interface-and-starts-exposing-tools-for-agents/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/webmcp-when-a-web-page-stops-being-only-an-interface-and-starts-exposing-tools-for-agents/</guid><description>WebMCP proposes that web applications publish structured capabilities for AI agents directly from the browser. We analyze its architecture, how it differs from MCP, what advantages it offers over computer use, and its security and adoption risks.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>World Humanoid Robot Games 2026: robots already run faster than Bolt, but that is not the important story</title><link>https://autopodcast.pages.dev/en/blog/world-humanoid-robot-games-2026-robots-already-run-faster-than-bolt-but-that-is-not-the-important-story/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/world-humanoid-robot-games-2026-robots-already-run-faster-than-bolt-but-that-is-not-the-important-story/</guid><description>The 2nd World Humanoid Robot Games in Beijing delivered a 100 m in 8.64 seconds, records in the 400 m, 1,500 m, and jumping, and more than 2,000 robots competing. But the decisive progress lies elsewhere: autonomy, manipulation, and embodied AI in real-world tasks.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate></item><item><title>DeepSeek Harness: when the model stops being the product and the harness becomes the platform</title><link>https://autopodcast.pages.dev/en/blog/deepseek-harness-when-the-model-stops-being-the-product-and-the-harness-becomes-the-platform/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/deepseek-harness-when-the-model-stops-being-the-product-and-the-harness-becomes-the-platform/</guid><description>DeepSeek opened its agent harness with a radical bet: models, tools, sessions, sandboxes, storage, loops, scheduling, and even the UI are plugins. We analyze what that means, how Cordis works, and why this layer may matter as much as the model itself.</description><pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate></item><item><title>El Salvador is treating technology education as national infrastructure</title><link>https://autopodcast.pages.dev/en/blog/el-salvador-is-treating-technology-education-as-national-infrastructure/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/el-salvador-is-treating-technology-education-as-national-infrastructure/</guid><description>The agreement between El Salvador and Platzi provides mass access to training in AI, English, programming, and business. More than &apos;free courses,&apos; it is a national-scale upskilling experiment to build technology talent.</description><pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate></item><item><title>If AI already writes the code, what should a developer study now?</title><link>https://autopodcast.pages.dev/en/blog/if-ai-already-writes-the-code-what-should-a-developer-study-now/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/if-ai-already-writes-the-code-what-should-a-developer-study-now/</guid><description>Generating code is becoming cheaper, but software engineering is not disappearing. Planning, agent orchestration, testing, and system design become central skills when AI implements for us.</description><pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate></item><item><title>YouTube, LinkedIn, and Substack vs. AI slop: AI is not banned, but empty content is losing ground</title><link>https://autopodcast.pages.dev/en/blog/youtube-linkedin-and-substack-vs-ai-slop-ai-is-not-banned-but-empty-content-is-losing-ground/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/youtube-linkedin-and-substack-vs-ai-slop-ai-is-not-banned-but-empty-content-is-losing-ground/</guid><description>YouTube strengthens AI labels, LinkedIn fights AI slop, and Substack adds detection with Pangram. The platforms are not banning artificial intelligence: they are starting to demand transparency, judgment, and real value.</description><pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Bill Gates wants limits on AI: reserved jobs, taxes, and global governance</title><link>https://autopodcast.pages.dev/en/blog/bill-gates-wants-limits-on-ai-reserved-jobs-taxes-and-global-governance/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/bill-gates-wants-limits-on-ai-reserved-jobs-taxes-and-global-governance/</guid><description>Bill Gates warns that AI could destroy jobs, expand security risks, and affect children and human relationships. These are his proposals: Human Reserved jobs, taxes on robots and AI use, and new governance institutions.</description><pubDate>Wed, 26 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Chat Jimmy and Taalas HC1: when the model becomes the computer</title><link>https://autopodcast.pages.dev/en/blog/chat-jimmy-and-taalas-hc1-when-the-model-becomes-the-computer/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/chat-jimmy-and-taalas-hc1-when-the-model-becomes-the-computer/</guid><description>Chat Jimmy demonstrates a radical idea for AI inference: specializing silicon around a model. This is how Taalas HC1 works, why it reaches extreme speeds, and what it could mean for agents and AI systems.</description><pubDate>Mon, 24 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The new CTO in the AI era: architect of an autonomous software factory</title><link>https://autopodcast.pages.dev/en/blog/the-new-cto-in-the-ai-era-architect-of-an-autonomous-software-factory/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/the-new-cto-in-the-ai-era-architect-of-an-autonomous-software-factory/</guid><description>AI is changing the CTO&apos;s job: from scaling teams and managing code production to designing engineering systems where humans and agents collaborate under continuous evaluation, governance, and verification.</description><pubDate>Mon, 24 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Reliability engineering: how to design systems that fail well</title><link>https://autopodcast.pages.dev/en/blog/reliability-engineering-how-to-design-systems-that-fail-well/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/reliability-engineering-how-to-design-systems-that-fail-well/</guid><description>What reliability engineering is, how it relates to SRE, and why availability, observability, resilience, retries, checkpoints, and idempotency are essential in modern systems and AI pipelines.</description><pubDate>Mon, 24 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Design patterns behind a resilient AI client</title><link>https://autopodcast.pages.dev/en/blog/design-patterns-behind-a-resilient-ai-client/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/design-patterns-behind-a-resilient-ai-client/</guid><description>How Strategy, Adapter, Dependency Injection, Circuit Breaker, Factory, and Facade combine with timeout, retries, backoff, jitter, fallback, and metrics to build more robust AI clients.</description><pubDate>Mon, 24 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Computer History: when ChatGPT starts remembering your Mac</title><link>https://autopodcast.pages.dev/en/blog/computer-history-when-chatgpt-starts-remembering-your-mac/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/computer-history-when-chatgpt-starts-remembering-your-mac/</guid><description>OpenAI adds Computer History to ChatGPT for macOS. What it records, what it does not, why it changes the relationship between the assistant and the desktop, and how it fits into the evolution toward persistent agents capable of continuing real work.</description><pubDate>Sun, 23 Aug 2026 00:00:00 GMT</pubDate></item><item><title>A2A joins the Agentic AI Foundation: the open agent stack is starting to take shape</title><link>https://autopodcast.pages.dev/en/blog/a2a-joins-the-agentic-ai-foundation-the-open-agent-stack-is-starting-to-take-shape/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/a2a-joins-the-agentic-ai-foundation-the-open-agent-stack-is-starting-to-take-shape/</guid><description>Google moves A2A under the specialized umbrella of the Agentic AI Foundation. What changes, how it fits with MCP, and why interoperability between agents could become foundational infrastructure for agentic AI.</description><pubDate>Sat, 22 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Codex as a platform: the agent harness that can live inside your own products</title><link>https://autopodcast.pages.dev/en/blog/codex-as-a-platform-the-agent-harness-that-can-live-inside-your-own-products/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/codex-as-a-platform-the-agent-harness-that-can-live-inside-your-own-products/</guid><description>OpenAI is turning Codex into something broader than a programming assistant: a reusable harness for building agents inside dashboards, IDEs, internal systems, and specialized products.</description><pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The most expensive startup mistake: solving the wrong problem extremely well</title><link>https://autopodcast.pages.dev/en/blog/the-most-expensive-startup-mistake-solving-the-wrong-problem-extremely-well/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/the-most-expensive-startup-mistake-solving-the-wrong-problem-extremely-well/</guid><description>More marketing, more features, and more capital can make a startup worse when the diagnosis is wrong. How to distinguish strategy problems from execution problems before scaling.</description><pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The real cost of enterprise AI: why price per token falls short</title><link>https://autopodcast.pages.dev/en/blog/the-real-cost-of-enterprise-ai-why-price-per-token-falls-short/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/the-real-cost-of-enterprise-ai-why-price-per-token-falls-short/</guid><description>Tokens, infrastructure, agents, retries, and governance: a guide to understanding what it really costs to operate AI at scale and why cost per successful task is often the better metric.</description><pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate></item><item><title>From vibe coding to agentic engineering: do we still need programmers?</title><link>https://autopodcast.pages.dev/en/blog/from-vibe-coding-to-agentic-engineering-do-we-still-need-programmers/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/from-vibe-coding-to-agentic-engineering-do-we-still-need-programmers/</guid><description>The rise of Replit and coding agents does not eliminate software engineering: it shifts human work from writing lines of code toward specifying, verifying, and directing systems that program.</description><pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate></item><item><title>How YouTube, Telegram, and other platforms can keep our data for years</title><link>https://autopodcast.pages.dev/en/blog/how-youtube-telegram-and-other-platforms-can-keep-our-data-for-years/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/how-youtube-telegram-and-other-platforms-can-keep-our-data-for-years/</guid><description>The cloud is not infinite: distributed storage, erasure coding, hot/cold tiers, compression, caches, and economies of scale explain how large platforms preserve enormous volumes of data for years.</description><pubDate>Tue, 18 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Agents that live in the cloud and learn from their work: persistent sandboxes and trajectories</title><link>https://autopodcast.pages.dev/en/blog/agents-that-live-in-the-cloud-and-learn-from-their-work-persistent-sandboxes-and-trajectories/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/agents-that-live-in-the-cloud-and-learn-from-their-work-persistent-sandboxes-and-trajectories/</guid><description>Two ideas turn an AI agent into infrastructure: decoupling it from the computer where it executes work and capturing its trajectories as data for evaluation and training.</description><pubDate>Tue, 18 Aug 2026 00:00:00 GMT</pubDate></item><item><title>AI Pods: from software teams to on-demand engineering capacity</title><link>https://autopodcast.pages.dev/en/blog/ai-pods-from-software-teams-to-on-demand-engineering-capacity/</link><guid isPermaLink="true">https://autopodcast.pages.dev/en/blog/ai-pods-from-software-teams-to-on-demand-engineering-capacity/</guid><description>AI Pods change the economic unit of software engineering: from headcount and hours to elastic, orchestrated, and verifiable capacity.</description><pubDate>Mon, 17 Aug 2026 00:00:00 GMT</pubDate></item></channel></rss>