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© 2024 Acceptance Criteria
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Talking about the good, the bad, and the ugly of how software gets made, and the people involved along the way
66 Episodes
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Is Tilly Norwood - the AI "actor" - a good thing for Hollywood, or does it herald the end of all human creativity and the death of art itself? Just a quick little debate we have this episode in reaction to a TikTok discussing the latest AI news out of California.
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The post E066: Are AI “actors” a great innovation or the death of art? first appeared on Acceptance Criteria.
It's a news roundup where we look at four stories from recent tech news, including Elon Musk's favorite LLM Grok going full-pedo recently, Mark Zuckerburg's $70 Billion oopsie, and Google realizing maybe it shouldn't let an AI hallucinate about health-related queries. And there's a robot that can kinda sorta almost do your laundry. Rosie the Robot it is not.
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The post E065: Grok’s Gross Graphics, Meta’s Massive Mistake, and more news first appeared on Acceptance Criteria.
On this week's episode we dig into some challenges people have with agile architecture and planning processes and critique a particularly obnoxious Reddit reply while we're at it.
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The post E064: Is there such a thing as Too Much Planning? first appeared on Acceptance Criteria.
Why is everything a subscription these days? TV, movies, books, music - you don't seem to own anything anymore.
This week we dig into the history of how the industry evolved into the SaaS model and how that bled into the consumer world turning everything into a rental.
The post E063: Subscriptions everywhere! Can SaaS be good? Or always risky? first appeared on Acceptance Criteria.
From layoffs to mental health crises, we are starting to get a clearer picture of the horrible impacts AI is having on all of us, and in this episode we continue to ask what the government and our society is going to do about it.
Content Warning: this episode does discuss a few recent cases of suicide related AI chatbots, so skip ahead to 25:16 to avoid those topics.
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The post E062: AI’s horrific hidden costs are slowly being revealed first appeared on Acceptance Criteria.
In Part 2 of our look back at the Industrial Revolution, we examine the impact on the economy and workers, discuss how economists at the time, even as far back as 1830, were justifying the scale of job losses, and comparing that to the impact AI is having today.
It's part history, part future predictions, and all super fascinating and often troubling. And don't forget to go back and listen to Part 1 in last week's episode for the history and context of how massive a shift the Industrial Revolution was.
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The post E061: Myths about the economy the AI Revolution is rejecting first appeared on Acceptance Criteria.
No, you didn't misread that, we're doing a two-part history lesson on the radical earth-altering time period known as the Industrial Revolution, and what it can teach us about our modern day struggles with how AI could change the world again.
I promise, it's actually super interesting, so come learn some history with us as we compare the steam engine, the advent of electricity and factory work, and today's breakneck pace of AI adoption.
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The post E060: Urgent lessons from the Industrial Revolution about AI (no really) first appeared on Acceptance Criteria.
It's a product review episode! We take a look at the new Google NotebookLM AI studio that tries to help people synthesize data sources into digestible materials like videos, podcasts, flashcards, and more.
But the conversation quickly (and unsurprisingly) devolves into a debate over whether humans need to remain in the loop with tools like this and how the current generation of GenAI seems to be attempting to replace us rather than help us.
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The post E059: Should Google NotebookLM Keep the Human in the Loop first appeared on Acceptance Criteria.
Whether it's working with engineering teams on story point estimations or managing the feedback from marginalized user bases, good Product Management requires you to be adaptable to the situation and try new things.
Sometimes that's scary. Welcome to corporate life.
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The post E058: Product flexibility will lead to better outcomes first appeared on Acceptance Criteria.
Well, that WAS going to be the title of the episode. What started as a conversation over vibe coding tools and the challenges of paying a corporation who is subsidizing their Generative AI models to help you do your critical thinking quickly got diverted onto benefits fraud, politicians who lie to you, and whether or not Kevin is allowed to break capitalism to fix things. It's a contentious episode our first week back after the hiatus.
It's a heated debate about the relationship between people's perception of benefits fraud, capitalism, and the welfare system. We dig into whether you can or should try to address fraud in social welfare, the role of government in providing benefits, and the challenges of reforming capitalism.
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The post E057: Outsourcing your brain to AI is bad, actually first appeared on Acceptance Criteria.
Sometimes the better answer is to not do anything at all. If you can't prove the value of a feature or that the effort to achieve that value is worth it, saying "no" to the idea is often the best course of action.
We also look at scenarios where Product Managers and Engineers can benefit from being users of their own software, as well as the benefits of having competitors you can "borrow" inspiration from.
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The post E056: Learning when NOT to build that cool new feature first appeared on Acceptance Criteria.
Kevin gets a little spicy in this bleep-filled episode discussing the latest changes to Meta's policies around fact-checking and hate speech. Trans rights are human rights, and bowing to pressure from Trump and Republicans on letting people use slurs and lie to each other poisons the well for the rest of us.
Content warning for difficult discussions of trans rights, vaccines and autism, and a variety of things Meta has now decided aren't worth blocking.
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The post E055: Mark Zuckerberg and Meta bend the knee to bigotry first appeared on Acceptance Criteria.
Chinese LLM company Deep Seek upended the AI market this week with a new AI model that is comparable to ChatGPT and other AIs but appears to have cost barely $5 million to create.
At one-twentieth the cost of Open AI, Meta, and others' models, it begs the question: what the hell is the US market for AI doing asking for $500 BILLION right now??
Also, we look at Google's quantum computing breakthroughs and debate whether physicists actually know what they're even talking about. A conversation we're both equally capable of handling :)
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The post E054: Is Deep Seek’s AI the ultimate disruptor? first appeared on Acceptance Criteria.
We tackle some more Reddit questions, including someone who's looking for ways to track their teams' mood, how to find a mentor, how often to constructively criticize your agile process, and whether fixing every bug is bad, actually.
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The post E053: Is there value in fixing every bug? first appeared on Acceptance Criteria.
From understanding why UX designs don't always translate to the actual front-end code, to finding the creativity and joy in maintaining other people's code, it's another Reddit grab bag.
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The post E052: Why don’t front-ends look like the superior UX designs? first appeared on Acceptance Criteria.
We dig into some recent news, looking at an AI firm that is trying to use machine learning to predict effective crop breeds, whether AI companies have run into scaling roadblocks, and how Uber and Lyft are trying to screw drivers in NYC.
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The post E051: Uber & Lyft try to screw their drivers, and can AI make better crops? first appeared on Acceptance Criteria.
The chances for TikTok seem to be getting slimmer by the day as a US Appeals Court upheld the ban signed by Joe Biden in April 2024. We discuss the impacts of social media and the Australian ban on under-age consumption of social media, and the concerns over trying to put age verification systems on all of the internet.
Plus, we start with a quick look at the Hawk Tuah bitcoin scam. Morons are all around us.
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The post E050: The looming TikTok ban in the US and Australia’s under-age social media ban first appeared on Acceptance Criteria.
We dive in to some more Reddit questions and help a few folks out. From figuring out why it seems like executives can't remember past decisions you asked them to make, to understanding what a typical day should look like for an Enterprise Architect, we have no shortage of opinions to share.
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The post E049: Is executive amnesia real, or do you need to do a better job communicating? first appeared on Acceptance Criteria.
Have you checked out Bluesky, the latest Twitter alternative that seems to be finding traction? Have you heard about "ghost jobs" that clog job listing sites with opportunities that aren't real?
This week we look at some recent news stories, including Snowflake's entry into the data orchestration market, and Amazon's struggles to get Alexa up to par with ChatGPT.
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The post E048: Bluesky is the new kid on the social network block, plus the cruelty of “ghost jobs” first appeared on Acceptance Criteria.
When the UnitedHealthcare CEO was killed last week, the social media outpouring was less sympathetic than some people might have hoped. We talk about why that might be and how we're on the precipice of something that may only get worse.
Also, Google f*cked around and found out, and the DOJ is recommending they be forced to deal with the consequences of their monopolistic abuses of the online search market. Which naturally led us to a long debate on gun safety. Obviously.
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The post E047: UnitedHealthcare and Google suffer the consequences of their actions first appeared on Acceptance Criteria.
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