The Coding Agency

Ray Myers
  • 5,0 (4)
  • Tecnologia
  • Semanal

In a world racing to empower machines, we have the audacity to believe software is for people. The building blocks of the future are here, but they don’t exactly fit together. Follow along as we sit with people building real things with AI, see where the magic stops working and what to do next. Welcome to The Coding Agency.

Episódios

  1. 28 de ago.

    What Are Language Models Good For?

    Today we discuss the specific strengths of large language models and how they compare to classic symbolic AI. How can we explain what LLMs are good at? First, LLMs are good at language modeling (duh). That's the most accurate but least relatable explanation. They do statistical prediction based on how language is used in their training set. This is useful because we use words in so many ways, and at scale deeper concepts are modeled. It takes some experience to understand what kind of work is a closer language modeling task. Another take is that LLMs can convert information from one form into another. This could mean translating from one language to another, or ELI5 (explain like I'm five), many things that could call translation in a loose sense. As a result of that they can convert between structured and unstructured data. This makes a handy bridge between our world of human-written content and programs that process data at scale. For instance, we can tag metadata on existing documents, enabling better search and reporting. Finally, since LLMs can make it cheap to generate plausible answers, it's easier to get value out of them when we have know how to check the results. This is part of why agents work well, they are an easy way of checking the results by giving the LLM contact with the world. This is also part of why code generation is a strong application for LLMs, we have ways of testing the results. Concepts Large Language ModelsFoundation ModelsNatural Language ProcessingKnowledge RepresentationData ModelingAgents References Explanation of GPT: ⁠Understanding “Attention is All You Need” Using the 3-Pass Method⁠Another kind of language model: BERT 101What happened to the Semantic Web? Hosted by Ray Myers and Liz Martinez. Find us online at ⁠⁠⁠thecodingagency.org⁠⁠⁠.

  2. 23 de jul.

    Why Is AI Political?

    Today we examine what it really means for something to be "political", and consider the situation for engineers just trying to get things done when their technology becomes a controversy. Resources Why Linus is right and AI is wrong - Ray MyersIs it ethical to use AI? - Charity MajorsReferenced thread from Linux Kernel Mailing List⁠Software Should Work⁠⁠ conference Hosted by Ray Myers and Liz Martinez. Find us online at ⁠⁠thecodingagency.org⁠⁠.

  3. 7 de jul.

    Agentic Ransomware Has Arrived

    The industry is due for a crash course in cybersecurity as we look at the first documented AI-driven ransomware operation. Resources JADEPUFFER: Agentic ransomware for automated database extortion - SysDig reportOWASP Top 10 web application security risksXKCD "Exploits of a Mom" comic explainedCVE - Common Vulnerabilities and Exposures programRansomware - wikipedia article Hosted by Ray Myers and Liz Martinez. Find us online at ⁠thecodingagency.org⁠.

  4. 30 de jun.

    Local Models

    Today we get our hands dirty running AI language models on our very own (and very hot) laptop! Exploring the tradeoffs, we see how this approach addresses common AI objections including privacy and resource usage. Local AI is a promising path, though still a bit tricky to get up and running. Concepts AI EthicsOpen weight modelsModel size References LM StudioLocal LLMs are getting easier - 2026 guide by SitepointEliza web versionGemma models by Google DeepMindLlama models by MetaLocal AI coding is finally good enough - video by Forrest KnightPydantic AI Python library including web chat UI Hosted by Ray Myers and Liz Martinez. Find us online at thecodingagency.org.

  5. 22 de jun.

    The Fable Ban and Doom Trolling

    High drama ensues as the US government forces Anthropic to take down it's new model Fable. How did we get here? In this episode, Ray and Liz unpack some of the context and put a critical eye on fear-based fundraising from top AI labs. Concepts AI EthicsFrontier modelsJailbreak prompts References Anthropic responds to the Fable BanThe Claude Shutdown Is a Total Sh*tshow video by House of ElDear A.I. Companies, the Doom Trolling Needs to Stop op-ed by Cal NewportTalking about a ‘schism’ is ahistorical by Emily Bender⁠Gandalf prompt hacking⁠ game by LakeraLet's Fire AGI video by Ray Hosted by Ray Myers and Liz Martinez.

  6. 15 de jun.

    My First App w/ Liz Martinez

    For our series premier, Liz Martinez joins host Ray Myers to design and build her first app using coding agents, with some bumps along the way! Concepts covered Product Requirements Document (PRD)Tech StackDomain ModelingBlank CanvasFollow us online at thecodingagency.org.

  • 6 episódios

Classificações e avaliações

5
de 5
4 avaliações

Sobre

In a world racing to empower machines, we have the audacity to believe software is for people. The building blocks of the future are here, but they don’t exactly fit together. Follow along as we sit with people building real things with AI, see where the magic stops working and what to do next. Welcome to The Coding Agency.

Informações

  • Criado por
    Ray Myers
  • Anos de atividade
    2026
  • Episódios
    6
  • Classificação
    Explícito
  • Copyright
    © Ray Myers
  • Site do podcast
    The Coding Agency

Você também pode gostar de