『Chuck Yates Got A Job』のカバーアート

Chuck Yates Got A Job

Chuck Yates Got A Job

著者: collide.
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概要

Welcome to Chuck Yates Got A Job with Chuck Yates. You've now found your dysfunctional life coach, the Investor Formerly known as Prominent Businessman Chuck Yates. What's not to learn from the self-proclaimed Galactic Viceroy, who was publicly canned from a prominent private equity firm, has had enough therapy to quote Brene Brown chapter and verse and spends most days embarrassing himself on Energy Finance Twitter as @Nimblephatty.2025 Digital Wildcatters, Inc 個人ファイナンス 経済学
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  • TCU Sent College Kids Into the Permian Basin. Here's What Happened.
    2026/02/25

    TCU's energy internship program is back for round two and the results are kind of wild. What started as a summer experiment with business students who knew zero about oil and gas turned into kids giving no-notes presentations on legacy well economics in just ten weeks. Nikki Morris, Executive Director of TCU's Ralph Lowe Energy Institute, and Ryan Haggerty, Owner at RHR Oil and Gas, break down the field trips from Diamondback frac sites to 70 year old vertical wells, how AI is changing the game for young talent but still can't replace the crusty old timer making the final call, and why the industry's biggest problem with 150,000 orphan wells in Texas might need a proactive solution before Washington forces one.

    Join the conversation shaping the future of energy.
    Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.
    Apply today at collide.io


    0:00 Intro and field trip recap from Riot's bitcoin mining site to Corsicana
    2:45 First impressions of the oilfield and the stiletto boots story
    5:22 How students connected the dots seeing wells in person
    8:21 Why basic energy education is missing from schools
    10:30 Overview of TCU's energy programs and student workers
    13:00 How Ryan and Nikki connected through the Fort Worth chamber
    17:32 AI vs tribal knowledge and the great crew change debate
    19:07 The HEB data scientist story that shocked an operator
    21:48 Ryan's legacy well project and what the students discovered
    25:14 The pyramid of problem solving and where AI fits
    28:40 What's next for the students and the upcoming TCU Energy Symposium
    30:52 Nuclear energy gaining traction with SMRs and molten salt reactors
    34:02 The orphan well crisis and incentivizing proactive plugging
    37:28 Where to find Ryan and Nikki

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    39 分
  • Why Collide's CTO Left a Billion Dollar Company to Join 12 Employees
    2026/02/11

    Canisius Rozario left a multi-billion dollar company managing 300 people to become employee number 12 at Collide. The CTO role at a seed-stage startup came with anxiety, stress, and constant noise about every new AI tool dropping daily. But it also came with the opportunity to build something real in an industry that solves actual problems, where bad answers don't just cost money, they kill people. Chuck and Canisius break down what it actually takes to go from a ChatGPT wrapper to enterprise-grade AI infrastructure, why oil and gas professionals are more impressive than tech bros, and how they're building models trained specifically on petroleum engineering exams. The team went from six months to build a pilot to days, and they're just getting started.

    Click here to watch a video of this episode.


    Join the conversation shaping the future of energy.
    Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.
    Apply today at collide.io


    Click here to view the episode transcript.

    00:00 - How Jimmy's dad helped recruit the CTO
    03:25 - The recruiter pitch that almost missed the mark
    05:27 - Why a 2.5 hour Sunday call changed everything
    08:21 - Learning AI by building it in the hardest vertical
    11:27 - The most important hire Colin ever made
    13:09 - Recruiting AWS, Microsoft, and Candy Crush engineers
    17:03 - From miniature model to actual infrastructure
    19:15 - Why clients ask "what's your software stack?"
    21:14 - The upside-down map incident on day three
    24:02 - What startup anxiety actually feels like
    27:05 - Why shiny object syndrome kills execution
    29:07 - Six months to a month to weeks to days
    31:22 - Oil and gas people are the best on the planet
    35:25 - Controlling drill bits thousands of miles away
    37:33 - The rubber meets the road next three months
    40:15 - Building platforms clients can build on
    43:00 - Principal-to-principal sales versus employee sales
    47:13 - Team breakdown: the superstars running 100x faster
    51:20 - Jazz and the haunted Skirvin Hotel story
    53:32 - Training models on petroleum engineering exams
    55:36 - Zero critical vulnerabilities on penetration testing

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    1 時間
  • Why Every Oil & Gas Company Is Getting AI Strategy Wrong (And How to Fix It)
    2026/01/28

    Most companies talk about AI strategy but freeze when it's time to actually implement. Collin McLelland shares how one E&P CEO cut through the noise by focusing on small, tangible wins—like automating regulatory filings that saved 1200 engineering hours. The real insight? Stop chasing sexy AI projects and start with workflows that deliver immediate ROI. Once teams see quick wins, adoption spreads fast and sophistication builds naturally.

    Click here to watch a video of this episode.

    Join the conversation shaping the future of energy.
    Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.
    Apply today at collide.io


    Click here to view the episode transcript.

    00:00 - The AI strategy question every executive is asking
    00:45 - Why big companies struggle to start with AI
    01:39 - Start small: the $1M savings approach
    02:20 - Real example: automating regulatory filings saves 1200 hours
    02:39 - Why companies chase sexy AI projects instead of practical wins
    03:07 - How sophistication builds through successive applications
    03:58 - Reimagining workflows: focus on outputs, not processes
    04:58 - The foundation: get your data house in order first
    05:50 - Pattern recognition: where the real home runs happen

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    7 分
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