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Posts tagged “ai”

The Homework Apocalypse

The Homework Apocalypse is an interesting post by Ethan Mollick on how educators can prepare for (and, to a degree, embrace) the incoming prevalence of LLMs in schools:

Students will cheat with AI. But they also will begin to integrate AI into everything they do, raising new questions for educators. Students will want to understand why they are doing assignments that seem obsolete thanks to AI. They will want to use AI as a learning companion, a co-author, or a teammate. They will want to accomplish more than they did before, and also want answers about what AI means for their future learning paths. Schools will need to decide how to respond to this flood of questions.

Link roundup for July 2, 2023

Technology and product

Pledge To Executives →

Marty Cagan’s latest is all about the agreements between product teams and executive teams. This point about deadlines stood out for me:

Product teams ask that only the product team that will be responsible for delivering on a promise be the one to make that promise, and they not be asked to make a promise or deliver on a commitment where they don’t know what is involved and what would be required to succeed.

How will AI affect workers? Tech waves of the past show how unpredictable the path can be →

A good piece by Bhaskar Chakravorti, also discussing AI’s impact on DEI in the workplace:

For example, while the broad shift toward remote work could help promote diversity with more flexible hiring, I see the increasing use of AI as likely to have the opposite effect. Black and Hispanic workers are overrepresented in the 30 occupations with the highest exposure to automation and underrepresented in the 30 occupations with the lowest exposure. While AI might help workers get more done in less time, and this increased productivity could increase wages of those employed, it could lead to a severe loss of wages for those whose jobs are displaced. A 2021 paper found that wage inequality tended to increase the most in countries in which companies already relied a lot on robots and that were quick to adopt the latest robotic technologies.

Also worth noting this discrepancy, which we seem to hear about a lot these days:

A 2022 study showed improved efficiencies for remote work as companies and employees grew more comfortable with work-from-home arrangements, but according to a separate 2023 study, managers and employees disagree about the impact: The former believe that remote working reduces productivity, while employees believe the opposite.

SparkToro Year 3 Retrospective: Investor Payback, Systemic Challenges, and V2 on the Way →

I enjoyed Rand Fishkin’s extensive and transparent thoughts on how their business is doing. A couple of things especially stood out. First, this point about marketing attribution:

In businesses like ours, most top-of-funnel marketing happens months or years before conversions do. When someone buys SparkToro, we have no way to attribute it to the three videos they watched on LinkedIn or the word-of-mouth recommendation from an ex-colleague at their previous agency, or the podcast they heard Amanda on last month. This would drive a lot of CMOs and CFOs bananas, but if you can lean into the process of trusting your “vanity metrics” (views, likes, comments, shares, emails, I-heard-about-you-ons), you can build a marketing flywheel that’s almost entirely devoid of competition.

I had to read that last sentence a few times to make sure it’s not a typo. This may be the first time I’ve ever seen someone speak positively about vanity metrics. Definitely food for thought…

And then there’s this important point about market segmentation:

Great products aren’t enough, either. To be “great” is, in my opinion, not nearly as valuable as being irrelevant to 99% of people, but exactly perfect for the 1% who deeply care about the problem you solve. Extra bonus points: target your product at a group that’s well-connected to others in their field, and gets value from sharing new things. Nothing’s better than word of mouth marketing. Nothing.

Other interests

The customers might be human, but the audience is Google →

This is a really interesting exploration of how “the SEO arms race has left Google and the web drowning in garbage text, with customers and businesses flailing to find each other.” Some small businesses deal with by having two websites: one for humans and one for robots.

How Google Reader died — and why the web misses it more than ever →

This is a really good history and retrospective of Google Reader. Dang, I feel for this team. It was so much more than an RSS Reader, and they didn’t even like that name. It was the first true social media feed: curated content you care about.

In other words, Fusion was meant to be a social network. One based on content, on curation, on discussion. In retrospect, what Shellen and Wetherell proposed sounds more like Twitter or Instagram than an RSS reader. “We were trying to avoid saying ‘feed reader,’” Shellen says, “or reading at all. Because I think we built a social product.”

Why aren’t smart people happier? →

Really interesting exploration by Adam Mastroianni, and a history of how messed up our definition of “smart” has become:

My grandma does not know how to use the “input” button on her TV’s remote control, but she does know how to raise a family full of good people who love each other, how to carry on through a tragedy, and how to make the perfect pumpkin pie. We sometimes condescendingly refer to this kind of wisdom as “folksy” or “homespun,” as if answering multiple-choice questions is real intelligence, and living a good, full life is just some down-home, gee-whiz, cutesy thing that little old ladies do.

Hometown’s Finest →

I’ve always been interested in “sense of place”—finding the reasons why a town or a place exists, and why people are drawn to certain places. Anne Helen Petersen writes beautifully about this concept in an essay about her hometown:

Optimization and remodel culture robs spaces of that heart. I’m sure MOD Pizza, the latest upstart in the pizza world, makes a lot more money. It’s slicker, faster, easier. But it’s not a place, it’s a product—a profit center. You can always tell, can’t you, when a restaurant’s primary purpose is to make a bunch of people who’d probably never eat there a whole bunch of money.

The Reader in Mind Is Me →

John Warner writes about the passing of Cormac McCarthy as well as Elizabeth Gilbert’s decision to indefinitely postpone the publication of her novel following the appearance of over 500 negative reviews of the book on Goodreads (also see How Goodreads Reviews Can Tank a Book Before It’s Published). He makes some interesting observations about “parasocial relationships”:

My first reaction was that we were in the realm of the parasocial, the invention or a relationship with a celebrity who doesn’t know you exist. My most parasocial relationships are with my favorite Peloton instructors who are clearly encouraged to stoke this feeling in platform participants as a way to keep us invested and involved.

Another example is Taylor Swift’s recent relationship with some other recording artist with bad politics and questionable hygiene, something her fans could apparently not countenance, and perhaps drove her to break up with the dude.

How generative AI might change the product profession in the future

I promise this isn’t going to become an AI blog, but Marty Cagan’s latest on Preparing For The Future has some solid points on how generative AI might change our profession. Here he talks about the impact on QA:

The new generation of AI-based test automation tools has the promise to revolutionize our approach to ensuring the product is behaving properly. On the other hand, our current approach to quality is largely based on deterministic products.  This means that given a set of inputs we can predict what the appropriate output should be, and we can count on that being true indefinitely.  

Yet for many new products built on generative AI, our products are no longer deterministic, but rather probabilistic.  We can no longer count on the same inputs generating the same outputs.  For many contexts, this is not a problem.  But for other contexts, especially when safety is involved, this will require different approaches to ensure appropriate behavior.

Also, yes please:

For those product managers of empowered product teams, the time spent creating artifacts such as written narratives, roadmaps, PRD’s, and acceptance criteria, as just a few examples, should be significantly assisted by the new generation of tools, some of which are already starting to appear. Even at the very rudimentary level, if the new generation of tools can significantly reduce the time a product manager (or engineer) spends dealing with tools like Jira, that will be a substantial win.

Evaluating AI product opportunities by plotting them on a “Survival Curve”

Aniket Deosthali (Head of Product for Conversational Commerce at Walmart) provides a great framework for evaluating AI product opportunities in How to Build AI Products People Want:

The most efficient way to evaluate AI opportunities and unlock the advantages of AI is by using the Consideration x Context framework. Let’s start with some baseline definitions.

Y-Axis = Consideration: The amount of effort required to make a decision.

The more thought you put into a decision, the higher consideration it is. For example, choosing a dish detergent is “low consideration” for most shoppers, compared to buying a car which is “high consideration.” Consideration can be represented as a function of the number of compelling alternatives and the stakes - users’ tolerance for errors, for example.

X-Axis = Context: The volume of abstract concepts AI needs to know. 

Context refers to how many abstract concepts a model needs to know in order to provide a useful response. Does it only need to understand a small batch of data points (like a product catalog), or does it need to understand the entire internet (like ChatGPT)?

He goes on to explain how to plot different solutions on a “Survival Curve.” If you work on AI products this is one of the rare actually helpful articles for PMs in the area of AI and LLMs.

Creating from a deeper place

There’s a lot going on in John Warner’s Speed and Efficiency are not Human Values. It’s primarily a reflection on generative AI tools in the context of being a published author—and well worth reading.

But the reason I am linking to it here is because it gives you an excuse to watch (or re-watch!) what John calls “the greatest guitar solo ever captured on a recording” (he is 100% correct). Here is Prince at the Rock and Roll Hall of Fame induction ceremony in the year both he and George Harrison (posthumously) were enshrined:

Here’s how John describes the solo in his post:

Prince was obviously a highly skilled guitarist capable of blazing speed on the fretboard (like the “Flight of the Bumblebee” guy) and indeed there’s a couple of spots where he just rips through some rapid note runs, but it’s also intensely musical, totally its own thing, while also managing to reference aspects of the solo from the original version (performed by Eric Clapton). […]

A great guitar solo is not about how fast you can play, or your degree of technical skill. It comes from a deeper place.

I know you’re going to roll your eyes, but seriously, the solo and that quote—it comes from a deeper place—inspires me to think a little bit more about the feel of the products we make, and a little bit less about the ”correctness” of fitting a specific mold.

AI won’t free up our time to do more valuable and fun things at work and home

I enjoyed Bill Gates’s post The Age of AI has begun, right until he got to this bit:

When productivity goes up, society benefits because people are freed up to do other things, at work and at home.

The idea that increased productivity gives people more time to do other things that are more useful and fulfilling is a thoroughly-debunked theory. First, there’s the question of what we even mean by “productivity”, especially in the context of the Productivity Paradox:

The productivity paradox (also the Solow computer paradox) is the peculiar observation made in business process analysis that, as more investment is made in information technology, worker productivity may go down instead of up.

But even if we can get to a point where we agree on how to define the word, we have known for a long time that the only thing that increased productivity does is create more work:

The usual first response to encountering the Productivity Paradox is disbelief: “If I have to write a few emails so that I don’t have to use a carrier pigeon, sign me up!”

But in a bureaucracy, the story of those few emails usually doesn’t end there. So, you send your few emails, and then you soon get email replies and comments. Now, you have to write more emails in reply to those emails, which are then sent up the hierarchy and to a chain of full-time reviewers, who each make a comment to show that they are useful.

So when we get more productive the time we “save” on one type of task just gets filled with a different, not necessarily more valuable task. But what about “at home”, you ask? Nope. We have also known for a very long time that instead of giving us more time for hobbies and hanging out, technology is killing leisure time:

The very tools that were supposed to liberate us have bound us to our work (and schools) in ways that were inconceivable just a few years ago. Almost all of us have less leisure time than ever. We work harder, take fewer vacations for shorter periods of time, report more stress than almost any other demographic group and find the boundaries between work and play increasingly blurred. Computing and communications technologies are destroying the idea of privacy and leisure.

So anyway, Bill Gates wrote a pretty insightful take on AI, in my opinion. But the idea that generative AI will free up our time to do more valuable and fun things is not backed up by history at all. Or to put it slightly differently:

Link roundup for March 25, 2023

The Beauty of Earth From Orbit.

Google and Microsoft’s chatbots are already citing one another in a misinformation shitshow. This is fine. “If you ask Microsoft’s Bing chatbot if Google’s Bard chatbot has been shut down, it says yes, citing a news article that discusses a tweet in which a user asked Bard when it would be shut down and Bard said it already had, itself citing a comment from Hacker News in which someone joked about this happening, and someone else used ChatGPT to write fake news coverage about the event.”

One hundred drones now used across IKEA retail for stock inventory. “One hundred busy drones are now at work during non-operational hours to improve stock accuracy and secure availability of products for online or physical retailing. This solution supports a more ergonomic workplace for IKEA co-workers as they no longer need to manually confirm each pallet.”

Is Blockbuster video about to make a comeback? I didn’t realize how many chances Blockbuster had to not die. “In 1997, Warner Bros approached Blockbuster with an exclusive DVD rental deal that would have split revenue 60-40 in favour of the studio. Blockbuster rejected it, and the studio retaliated by dropping its DVD retail prices to undermine the rental industry. And then in 2000, Blockbuster made two even more fatal decisions. First, Blockbuster turned down the opportunity to purchase the then-fledgling Netflix. Second, it chose instead to partner with Enron. Within a year, Enron filed for bankruptcy. Within five years, Netflix was shipping out a million DVDs every day. Suddenly, Blockbuster was yesterday’s news.”

Is there a drop in software engineer job openings, globally? “The US, Canada and UK are currently seeing some of the lowest numbers of developer job listings since Feb 2020.”

Swimming outside the lanes. Tracy Durnell talks about leaving her day job and going out on her own. “People complain that no one wants to work anymore. And it’s true to an extent: no one wants to work in a job where they are underpaid, unfairly treated, unappreciated, and constrained. I like my work, but so far dislike jobs.”

Shiny Happy People, Being Chased By Monsters. Are we in the midst of a vibe shift back to the days of whimsy? “FreakyLinks may have been on my mind lately because I think we’re in another moment of cultural shift from seriousness to whimsy; if you don’t believe me, ask yourself why Everything Everywhere All At Once so thoroughly kicked the ass of that movie about the mean conductor lady at the Oscars. We’re at a similar moment to where we were in the early 2000s — where people are shrieking ‘I want to be happy!’ and ‘I’m tired of thinking! Give me some baggy orange leather pants instead!’”

Songs are what we carry, even when we have nothing else. On the B-Sides I talk about the latest U2 album a little bit. “It’s the sound of a band that has been together for close to 50 years starting to wind things down the only way they know how: they sing the songs they carry, even when they don’t have a whole lot left.”

Link roundup for March 18, 2023

This feed of imagined alternate universe tech products is mind-bendingly wonderful.

Employees Are Feeding Sensitive Business Data to ChatGPT. Feels like this should be a bigger story. “Employees are submitting sensitive business data and privacy-protected information to large language models (LLMs) such as ChatGPT, raising concerns that AI services could be incorporating the data into their models, and that information could be retrieved at a later date if proper data security isn’t in place for the service.”

How companies can better understand neurodivergent employees. Good reminder: “If you use closed captioning, text messaging, or noise-canceling headphones, or have pushed a stroller or ridden a bike over the ramps at the end of sidewalks/curbs (see the curb cut effect), you’ve benefited from design that prioritized users who had these needs but are not the convenient ‘majority’ for whom many products are designed. Designing for difference enables innovation and productivity while setting up an enterprise to be future-fit and successful.”

I needed to hear this, so I’m sharing just in case you might need to hear it too: “When we have a lot on our plate, we tend to neglect the very things that equip us to handle having a lot on our plate. We leave aside exercise, which is important for physical and mental health. […] Leaving out our health to fend for last place in our list of priorities is bad enough. However, doing it when you most need your health to contend with a growing list of priorities is worse still.”

This latest Amazon forced “return to office” news is bleak. “The fact that Amazon’s S-Team did not blink, and refuses to soften the return to work policy signals that they either don’t expect much attrition, or have calculated with additional attrition. […] At the same time, looking at the market, it’s hard not to ask the question: if people want to leave, where will they leave to?”

Chat apps are no substitute for documentation. “Chat apps like Discord [and Slack] end up diluting the available knowledge because the content shared in them isn’t persistent, and the allure of an always-available answer breaks down when the person that could answer is no longer available.”

Modern Font Stacks. System font stack CSS organized by typeface classification for every modern OS. “No downloading, no layout shifts, no flashes — just instant renders.”

In The Name of The Father provides a fatherhood lens on the first season of The Last of Us that really resonated with me.

The new M83 album is out and it is, in my opinion, a return to form. On repeat over here.

Link roundup for March 1, 2023

Open Circuits is “a photographic exploration of the beautiful design inside everyday electronics. Its stunning cross-section photography unlocks a hidden world full of elegance, subtle complexity, and wonder.”

Good conversations have lots of doorknobs. This is a fascinating essay about the elements of good conversation and the difference between “takers” who keep things going, “givers” who tend to ask a lot of questions, and how the wrong match-up can cause a conversation to stall. Includes good advice backed up by tons of academic research. This is one to save and revisit often.

Why do modern pop songs have so many credited writers? Some of the examples are wild. “When these cases are settled in favor of the plaintiff, more songwriting credits are added after a song’s release. This is why the number of songwriters listed on Mark Ronson’s “Uptown Funk” has increased over the years. To avoid a Mark-Ronson-style-courtroom-induced headache, artists will sometimes preemptively credit writers of older songs even if the similarity between the older song and their composition is purely coincidental.”

A “Last of Us” Episode 7 musical mystery (light spoilers). I just want to say don’t worry The Last of Us fans, I’m thinking about the important things over here.

The choice is easy. Robin Sloan with a good reminder: “Anyone who adds one of those email newsletter pop-ups to a website demeans them selves and makes the world worse for everyone else.” Reminder that if you are an author using Substack you can turn off “Subscribe prompts on post pages” in Settings.

Quick Review Summary. Ok this seems like an actually good use of OpenAI. Instead of poring over hundreds of reviews of a hotel, copy the Tripadvisor URL of the hotel into this website and it will generate a summary of the general sentiment of the hotel.

Neurodiversity Design System. Great resource. “The NDS is a coherent set of standards and principles that combine neurodiversity and user experience design for Learning Management Systems. Design accessible learning interfaces supporting success and achievement for everyone.”

SoundPrint is an app to “discover quiet places and share them with others.” This looks really useful, especially if you’re a fellow tinnitus sufferer.

Link roundup for February 15, 2023

AMEN by Jessica Hilltout. “The aim of AMEN was to shine the light on all those in the shadow of the World Cup, far from the big stadiums and the corporate carnival-nature of the event. To embrace Africa and everything that makes it unique. To speak of the authenticity and sheer ingenuousness of a continent that manages to do so much with so little. To capture people with simple needs and huge hearts. To express football in its purest form.” [jessicahilltout.com]

God Did the World a Favor by Destroying Twitter. I love Paul Ford. “Our smarter, richer betters often preach the idea of a town square, a marketplace of ideas, a centralized hub of discourse and entertainment—and we listen. But when I go back and read Genesis, I hear God saying: ‘My children, I designed your brains to scale to 150 stable relationships. Anything beyond that is overclocking. You should all try Mastodon.’” [wired.com]

SolidGoldMagikarp (plus, prompt generation). This is all super weird and shows that we really have no idea what’s going on with these LLMs. Are we really ready for this stuff to become the backbone of internet search? “We’ll demonstrate a previously undocumented failure mode for GPT-2 and GPT-3 language models, which results in bizarre completions (in some cases explicitly contrary to the purpose of the model), and present the results of our investigation into this phenomenon.” [lesswrong.com]

Hey, Ease Up; A Load-Bearing If-Statement. What happens if, for health reasons, you need to use a fitness tracker to move less? “But if you’re trying to conserve energy, you don’t want to reach that goal. You want to stay under it. Sure, you want to maybe get up and about, I guess? Take a very slow short walk outside? But you are supposed to be resting.” [newsletter.danhon.com]

Scientists Develop Compound That Kills So Efficiently They Named It After Keanu Reeves. “The molecules ‘kill so efficiently that we named them after Keanu Reeves,’ German researcher Sebastian Götze said in a press release, ‘because he, too, is extremely deadly in his roles.’” [futurism.com]

Buy Nothing groups and the culture of free stuff. This deep-dive into the things people post in Buy Nothinggroups (and that actually get picked up!) is quite something. “There is something about free stuff that makes us abandon all rational thought.” [washingtonpost.com, soft paywall]

The mystery of the disappearing vacation day. Why have we stopped taking regular vacations? “Many were on a paid-time-off (PTO) plan that lumps sick days, personal days and vacation days in a single bucket. While workers often appreciate the flexibility of PTO and employers find it easier to administer, such plans can deter taking long vacations by making us feel as if we’re cutting into the PTO we might need in case of sudden illness or tragedy.” [washingtonpost.com, gift article link]

Nope, coffee won’t give you extra energy. It’ll just borrow a bit that you’ll pay for later. Ok listen, don’t come at me with your “facts”, please. “While it feels energizing, this little caffeine intervention is more a loan of the awake feeling, rather than a creation of any new energy.” [theconversation.com]