cjav_dev tldr https://cjav.dev Transistor (https://transistor.fm) https://feeds.transistor.fm/cjav_dev-tldr Articles that I wanted to listen to but don’t have the time to read end to end. © 2026 CJ Avilla 744e74a4-2daa-5767-98db-dd5c7a2df4e3 yes en Tue, 03 Nov 2026 17:26:50 -0500 Tue, 03 Nov 2026 17:27:33 -0500 cjav_dev tldr https://cjav.dev episodic CJ Avilla Articles that I wanted to listen to but don’t have the time to read end to end. Articles that I wanted to listen to but don’t have the time to read end to end. CJ Avilla No No How Trust Works: Six Fields, One Map 1 1 How Trust Works: Six Fields, One Map full 67105e09-fb8c-483f-81fc-c57580370e21 https://share.transistor.fm/s/d3f6bb68 A 45-minute guided tour of trust research from six angles: what trust is (management), where it comes from (sociology), how it builds and breaks, incentives (economics and philosophy), psychology and the brain, and trust in machines. We start and end on an airplane.

Corrections to the popular versions, covered in the episode: Kim et al. (2004) found a crossover, apology helps more for competence failures and denial more for integrity failures; algorithm aversion comes from seeing a model err across many forecasts, not one error; the oxytocin-trust finding has not replicated well.

Sources

  • Mayer, Davis & Schoorman (1995). An Integrative Model of Organizational Trust. Academy of Management Review 20(3).
  • Rousseau, Sitkin, Burt & Camerer (1998). Not So Different After All: A Cross-Discipline View of Trust. AMR 23(3).
  • McAllister (1995). Affect- and Cognition-Based Trust as Foundations for Interpersonal Cooperation in Organizations. Academy of Management Journal 38(1).
  • Zucker (1986). Production of Trust: Institutional Sources of Economic Structure, 1840–1920. Research in Organizational Behavior 8.
  • Luhmann (1979). Trust and Power.
  • Giddens (1990). The Consequences of Modernity.
  • Shapiro (1987). The Social Control of Impersonal Trust. American Journal of Sociology 93(3).
  • Lewicki & Bunker (1995, 1996). Developing and Maintaining Trust in Work Relationships. In Kramer & Tyler, Trust in Organizations.
  • Meyerson, Weick & Kramer (1996). Swift Trust and Temporary Groups. In Kramer & Tyler, Trust in Organizations.
  • Slovic (1993). Perceived Risk, Trust, and Democracy. Risk Analysis 13(6).
  • Kim, Ferrin, Cooper & Dirks (2004). Removing the Shadow of Suspicion. Journal of Applied Psychology 89(1).
  • Berg, Dickhaut & McCabe (1995). Trust, Reciprocity, and Social History. Games and Economic Behavior 10(1).
  • Axelrod (1984). The Evolution of Cooperation.
  • Hardin (2002). Trust and Trustworthiness.
  • Baier (1986). Trust and Antitrust. Ethics 96(2).
  • Williamson (1993). Calculativeness, Trust, and Economic Organization. Journal of Law and Economics 36(1).
  • Erikson (1950). Childhood and Society. Bowlby (1969). Attachment.
  • Rotter (1967). A New Scale for the Measurement of Interpersonal Trust. Journal of Personality 35(4).
  • Bohnet & Zeckhauser (2004). Trust, Risk and Betrayal. Journal of Economic Behavior & Organization 55(4).
  • Willis & Todorov (2006). First Impressions: Making Up Your Mind After a 100-ms Exposure to a Face. Psychological Science 17(7).
  • Kosfeld et al. (2005). Oxytocin Increases Trust in Humans. Nature 435. See Nave, Camerer & McCullough (2015), Perspectives on Psychological Science, and Declerck et al. (2020) for the replication problems.
  • Parasuraman & Riley (1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors 39(2).
  • Lee & See (2004). Trust in Automation: Designing for Appropriate Reliance. Human Factors 46(1).
  • Dietvorst, Simmons & Massey (2015). Algorithm Aversion. Journal of Experimental Psychology: General 144(1); and (2018), Management Science.
  • Hoff & Bashir (2015). Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust. Human Factors 57(3).

Narrated with an AI voice (ElevenLabs).

]]> A 45-minute guided tour of trust research from six angles: what trust is (management), where it comes from (sociology), how it builds and breaks, incentives (economics and philosophy), psychology and the brain, and trust in machines. We start and end on an airplane.

Corrections to the popular versions, covered in the episode: Kim et al. (2004) found a crossover, apology helps more for competence failures and denial more for integrity failures; algorithm aversion comes from seeing a model err across many forecasts, not one error; the oxytocin-trust finding has not replicated well.

Sources

  • Mayer, Davis & Schoorman (1995). An Integrative Model of Organizational Trust. Academy of Management Review 20(3).
  • Rousseau, Sitkin, Burt & Camerer (1998). Not So Different After All: A Cross-Discipline View of Trust. AMR 23(3).
  • McAllister (1995). Affect- and Cognition-Based Trust as Foundations for Interpersonal Cooperation in Organizations. Academy of Management Journal 38(1).
  • Zucker (1986). Production of Trust: Institutional Sources of Economic Structure, 1840–1920. Research in Organizational Behavior 8.
  • Luhmann (1979). Trust and Power.
  • Giddens (1990). The Consequences of Modernity.
  • Shapiro (1987). The Social Control of Impersonal Trust. American Journal of Sociology 93(3).
  • Lewicki & Bunker (1995, 1996). Developing and Maintaining Trust in Work Relationships. In Kramer & Tyler, Trust in Organizations.
  • Meyerson, Weick & Kramer (1996). Swift Trust and Temporary Groups. In Kramer & Tyler, Trust in Organizations.
  • Slovic (1993). Perceived Risk, Trust, and Democracy. Risk Analysis 13(6).
  • Kim, Ferrin, Cooper & Dirks (2004). Removing the Shadow of Suspicion. Journal of Applied Psychology 89(1).
  • Berg, Dickhaut & McCabe (1995). Trust, Reciprocity, and Social History. Games and Economic Behavior 10(1).
  • Axelrod (1984). The Evolution of Cooperation.
  • Hardin (2002). Trust and Trustworthiness.
  • Baier (1986). Trust and Antitrust. Ethics 96(2).
  • Williamson (1993). Calculativeness, Trust, and Economic Organization. Journal of Law and Economics 36(1).
  • Erikson (1950). Childhood and Society. Bowlby (1969). Attachment.
  • Rotter (1967). A New Scale for the Measurement of Interpersonal Trust. Journal of Personality 35(4).
  • Bohnet & Zeckhauser (2004). Trust, Risk and Betrayal. Journal of Economic Behavior & Organization 55(4).
  • Willis & Todorov (2006). First Impressions: Making Up Your Mind After a 100-ms Exposure to a Face. Psychological Science 17(7).
  • Kosfeld et al. (2005). Oxytocin Increases Trust in Humans. Nature 435. See Nave, Camerer & McCullough (2015), Perspectives on Psychological Science, and Declerck et al. (2020) for the replication problems.
  • Parasuraman & Riley (1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors 39(2).
  • Lee & See (2004). Trust in Automation: Designing for Appropriate Reliance. Human Factors 46(1).
  • Dietvorst, Simmons & Massey (2015). Algorithm Aversion. Journal of Experimental Psychology: General 144(1); and (2018), Management Science.
  • Hoff & Bashir (2015). Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust. Human Factors 57(3).

Narrated with an AI voice (ElevenLabs).

]]> Tue, 03 Nov 2026 17:26:50 -0500 CJ Avilla CJ Avilla 2721 A 45-minute guided tour of trust research from six angles: what trust is (management), where it comes from (sociology), how it builds and breaks, incentives (economics and philosophy), psychology and the brain, and trust in machines. We start and end on an airplane.

Corrections to the popular versions, covered in the episode: Kim et al. (2004) found a crossover, apology helps more for competence failures and denial more for integrity failures; algorithm aversion comes from seeing a model err across many forecasts, not one error; the oxytocin-trust finding has not replicated well.

Sources

  • Mayer, Davis & Schoorman (1995). An Integrative Model of Organizational Trust. Academy of Management Review 20(3).
  • Rousseau, Sitkin, Burt & Camerer (1998). Not So Different After All: A Cross-Discipline View of Trust. AMR 23(3).
  • McAllister (1995). Affect- and Cognition-Based Trust as Foundations for Interpersonal Cooperation in Organizations. Academy of Management Journal 38(1).
  • Zucker (1986). Production of Trust: Institutional Sources of Economic Structure, 1840–1920. Research in Organizational Behavior 8.
  • Luhmann (1979). Trust and Power.
  • Giddens (1990). The Consequences of Modernity.
  • Shapiro (1987). The Social Control of Impersonal Trust. American Journal of Sociology 93(3).
  • Lewicki & Bunker (1995, 1996). Developing and Maintaining Trust in Work Relationships. In Kramer & Tyler, Trust in Organizations.
  • Meyerson, Weick & Kramer (1996). Swift Trust and Temporary Groups. In Kramer & Tyler, Trust in Organizations.
  • Slovic (1993). Perceived Risk, Trust, and Democracy. Risk Analysis 13(6).
  • Kim, Ferrin, Cooper & Dirks (2004). Removing the Shadow of Suspicion. Journal of Applied Psychology 89(1).
  • Berg, Dickhaut & McCabe (1995). Trust, Reciprocity, and Social History. Games and Economic Behavior 10(1).
  • Axelrod (1984). The Evolution of Cooperation.
  • Hardin (2002). Trust and Trustworthiness.
  • Baier (1986). Trust and Antitrust. Ethics 96(2).
  • Williamson (1993). Calculativeness, Trust, and Economic Organization. Journal of Law and Economics 36(1).
  • Erikson (1950). Childhood and Society. Bowlby (1969). Attachment.
  • Rotter (1967). A New Scale for the Measurement of Interpersonal Trust. Journal of Personality 35(4).
  • Bohnet & Zeckhauser (2004). Trust, Risk and Betrayal. Journal of Economic Behavior & Organization 55(4).
  • Willis & Todorov (2006). First Impressions: Making Up Your Mind After a 100-ms Exposure to a Face. Psychological Science 17(7).
  • Kosfeld et al. (2005). Oxytocin Increases Trust in Humans. Nature 435. See Nave, Camerer & McCullough (2015), Perspectives on Psychological Science, and Declerck et al. (2020) for the replication problems.
  • Parasuraman & Riley (1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors 39(2).
  • Lee & See (2004). Trust in Automation: Designing for Appropriate Reliance. Human Factors 46(1).
  • Dietvorst, Simmons & Massey (2015). Algorithm Aversion. Journal of Experimental Psychology: General 144(1); and (2018), Management Science.
  • Hoff & Bashir (2015). Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust. Human Factors 57(3).

Narrated with an AI voice (ElevenLabs).

]]> trust, organizational behavior, sociology, behavioral economics, psychology, human factors, automation, AI No Countering misuse of AI: September 2026 / Anthropic \ Anthropic Countering misuse of AI: September 2026 / Anthropic \ Anthropic full 46326d6c-4023-48e9-9032-e473dc5d8a64 https://share.transistor.fm/s/31564943 Fri, 02 Oct 2026 14:56:25 -0400 CJ Avilla CJ Avilla 1561 What if the AI tools being built to help us were also being used against us — right now, at scale, by state-sponsored hackers, criminals, and surveillance operators? That's exactly what Anthropic's latest threat intelligence report reveals, and it's a sobering read. From anthropic.com, this is Anthropic's September 2026 threat intelligence report, covering malicious use of Claude detected between December 2025 and August 2026. And the findings are significant. What if the AI tools being built to help us were also being used against us — right now, at scale, by state-sponsored hackers, criminals, and surveillance operators? That's exactly what Anthropic's latest threat intelligence report reveals, and it's a sob No Turing Post Turing Post full 5824c419-43a3-430a-a7bf-614a2b953be3 https://share.transistor.fm/s/95863ba0 Fri, 08 May 2026 07:32:11 -0400 CJ Avilla CJ Avilla 37 It looks like the article at Turing Post returned a 404 error, meaning the page doesn't exist or has been moved. There's no content available for me to summarize. Could you try sharing the article again with a working URL or paste the article text directly? I'd love to help turn it into a great TLDR episode once I have the content! It looks like the article at Turing Post returned a 404 error, meaning the page doesn't exist or has been moved. There's no content available for me to summarize. Could you try sharing the article again with a working URL or paste the article text dire No Agentic Vector Databases: How Retrieval Is Changing Agentic Vector Databases: How Retrieval Is Changing full e0410452-8382-4bee-9e52-43420e845f83 https://share.transistor.fm/s/62bea539 Thu, 07 May 2026 19:02:58 -0400 CJ Avilla CJ Avilla 713 What if the databases powering your AI applications are about to get a whole lot smarter? That's exactly what's happening, and it changes everything about how we build AI systems. In a piece from Turing Post, author Alyona Vert breaks down the concept of agentic vector databases — and why the shift from passive retrieval to active, reasoning-aware memory is one of the most important infrastructure changes happening in AI right now. What if the databases powering your AI applications are about to get a whole lot smarter? That's exactly what's happening, and it changes everything about how we build AI systems. In a piece from Turing Post, author Alyona Vert breaks down the concept No Subquadratic — Efficiency is Intelligence Subquadratic — Efficiency is Intelligence full ae989b98-7219-49c7-b8ef-f7ada8b4f263 https://share.transistor.fm/s/614bc9ed Thu, 07 May 2026 07:34:14 -0400 CJ Avilla CJ Avilla 714 What if the biggest bottleneck in AI wasn't the models themselves, but the fundamental math underneath them? That's the question a new company called Subquadratic is answering — and their answer is pretty remarkable. This comes from Justin Dangel, co-founder and CEO of Subquadratic, published on their site at subq.ai. Here's the core problem. Every transformer-based AI model — and that includes basically everything you've used, from ChatGPT to Claude to Gemini — has a scaling issue baked i... What if the biggest bottleneck in AI wasn't the models themselves, but the fundamental math underneath them? That's the question a new company called Subquadratic is answering — and their answer is pretty remarkable. This comes from Justin Dangel, co-foun No Agents for financial services \ Anthropic Agents for financial services \ Anthropic full 70f80130-04e1-408d-ba0d-ab573ab4d187 https://share.transistor.fm/s/fd2c39fe Wed, 06 May 2026 19:05:18 -0400 CJ Avilla CJ Avilla 961 Anthropic just made a major move into financial services, and if you work in banking, asset management, or insurance, this one's worth your full attention. Anthropic has announced ten ready-to-run AI agent templates specifically built for the most time-consuming, high-stakes work in finance. We're talking pitchbook creation, KYC screening, month-end close processes, financial modeling, earnings reviews, and more. These aren't just chatbot wrappers — they're full reference architectures tha... Anthropic just made a major move into financial services, and if you work in banking, asset management, or insurance, this one's worth your full attention. Anthropic has announced ten ready-to-run AI agent templates specifically built for the most time No TLDR Pulse — May 5, 7:00 PM EST TLDR Pulse — May 5, 7:00 PM EST full db752eec-8a26-49b3-becb-a66bf56c0241 https://share.transistor.fm/s/a4395f18 Tue, 05 May 2026 19:03:45 -0400 CJ Avilla CJ Avilla 622 What a week in AI — we're talking billion-dollar power moves, courtroom bombshells, and a governance story that could reshape how frontier models reach your hands. This is the TLDR Pulse from cjav.dev, covering the biggest AI industry shifts from the week of May 5th, 2026. Let's start with the headline that nobody saw coming: Anthropic has passed OpenAI in revenue for the first time ever. According to The AI Report, Claude's enterprise traction — particularly around coding and instruction-... What a week in AI — we're talking billion-dollar power moves, courtroom bombshells, and a governance story that could reshape how frontier models reach your hands. This is the TLDR Pulse from cjav.dev, covering the biggest AI industry shifts from the week No AX, DX, ADX: naming the three audiences your API now has to serve - @cjav_dev AX, DX, ADX: naming the three audiences your API now has to serve - @cjav_dev full d60a807c-7314-4ac4-bb60-178fc9784d24 https://share.transistor.fm/s/7dc7f4c4 Tue, 14 Apr 2026 08:25:32 -0400 CJ Avilla CJ Avilla 591 Here's a question for you: how many audiences does your API actually serve? If you said "developers," you might be missing two other critical groups that are rapidly becoming just as important. This article from cjav.dev breaks down a framework that every API platform team needs to hear right now. The piece introduces three distinct acronyms — DX, AX, and ADX — and makes a compelling case that confusing them is costing teams real quality in their platforms. Here's a question for you: how many audiences does your API actually serve? If you said "developers," you might be missing two other critical groups that are rapidly becoming just as important. This article from cjav.dev breaks down a framework that every No Project Glasswing: Securing critical software for the AI era \ Anthropic Project Glasswing: Securing critical software for the AI era \ Anthropic full 2938c8ae-7dff-4be0-bf07-af692a9ab1bc https://share.transistor.fm/s/eec91730 Tue, 07 Apr 2026 18:32:41 -0400 CJ Avilla CJ Avilla 1416 What if the AI that could break into any computer on Earth was instead put to work fixing them? That's the premise behind Project Glasswing, a major new initiative just announced by Anthropic. Anthropic has revealed that their unreleased frontier model, Claude Mythos Preview, has reached a genuinely alarming milestone: it can find and exploit software vulnerabilities better than virtually any human security expert alive. And rather than sitting on that capability, they're mobilizing it for... What if the AI that could break into any computer on Earth was instead put to work fixing them? That's the premise behind Project Glasswing, a major new initiative just announced by Anthropic. Anthropic has revealed that their unreleased frontier model No Sam Altman May Control Our Future—Can He Be Trusted? | The New Yorker Sam Altman May Control Our Future—Can He Be Trusted? | The New Yorker full 8f8c04ac-7037-4c65-8995-40c4dec531ff https://share.transistor.fm/s/856de8d9 Tue, 07 Apr 2026 10:15:57 -0400 CJ Avilla CJ Avilla 1953 What if the person steering humanity's most powerful technology can't be trusted? That's the question at the heart of a sweeping investigative piece by Ronan Farrow and Andrew Marantz in The New Yorker, and the answer is... complicated. The article centers on Sam Altman, CEO of OpenAI, and the explosive events of November 2023 — when OpenAI's board of directors abruptly fired him, only to reinstate him just five days later. What most people saw as a bizarre corporate drama turns out to hav... What if the person steering humanity's most powerful technology can't be trusted? That's the question at the heart of a sweeping investigative piece by Ronan Farrow and Andrew Marantz in The New Yorker, and the answer is... complicated. The article cen No