Menu

Posts tagged “ai”

Generative AI Is Not Going To Build Your Engineering Team For You

Charity Majors makes some really interesting points about the consequences of “replacing” junior engineers with AI:

By not hiring and training up junior engineers, we are cannibalizing our own future. We need to stop doing that. People act like writing code is the hard part of software. It is not. It never has been, it never will be. Writing code is the easiest part of software engineering, and it’s getting easier by the day. The hard parts are what you do with that code—operating it, understanding it, extending it, and governing it over its entire lifecycle.

Also:

To state the supremely obvious: giving code review feedback to a junior engineer is not like editing generated code. Your effort is worth more when it is invested into someone else’s apprenticeship. It’s an opportunity to pass on the lessons you’ve learned in your own career. Even just the act of framing your feedback to explain and convey your message forces you to think through the problem in a more rigorous way, and has a way of helping you understand the material more deeply. And adding a junior engineer to your team will immediately change team dynamics. It creates an environment where asking questions is normalized and encouraged, where teaching as well as learning is a constant.

Lots more in the full article, it’s well worth a full read.

Generative AI Is Totally Shameless. I Want to Be It.

Yes, I’m a relentless fanboy of whatever Paul Ford writes, but this is a truly wonderful post about what makes AI so addictive and impossible to look away from. He frames AI as a technology that truly has no shame because “it possesses an absolute willingness to spout foolishness, balanced only by its carefree attitude toward plagiarism.” And so:

By aggregating the world’s knowledge, chomping it into bits with GPUs, and emitting it as multi-gigabyte software that somehow knows what to say next, we’ve made the funniest parody of humanity ever. These models have all of our qualities, bad and good. Helpful, smart, know-it-alls with tendencies to prejudice, spewing statistics and bragging like salesmen at the bar. They mirror the arrogant, repetitive ramblings of our betters, the horrific confidence that keeps driving us over the same cliffs. That arrogance will be sculpted down and smoothed over, but it will have been the most accurate representation of who we truly are to exist so far, a real mirror of our folly, and I will miss it when it goes.

Google is combining its Android and hardware teams — and it’s all about AI

Maybe it’s my age showing but I’m with Gruber on this one:

I would argue, strenuously, that the phone is the natural AI device. It already has: always-on networking, cameras, a screen, microphones, and speakers. Everyone owns one and almost everyone takes theirs with them almost everywhere they go.

How cheap, outsourced labour in Africa is shaping AI English

This isn’t entirely surprising but it’s a sad state of affairs, and it’s worth highlighting not just how, but also where LLMs are being trained:

Hundreds of thousands of hours of work goes into providing enough feedback to turn an LLM into a useful chatbot, and that means the large AI companies outsource the work to parts of the global south, where anglophonic knowledge workers are cheap to hire.

I know it’s too dismissive to call chatbots “fancy autocomplete” like many do, but we have to remember that this isn’t magic. The words the bots use come from somewhere. And in the case of “delve”…

I said “delve” was overused by ChatGPT compared to the internet at large. But there’s one part of the internet where “delve” is a much more common word: the African web. In Nigeria, “delve” is much more frequently used in business English than it is in England or the US. So the workers training their systems provided examples of input and output that used the same language, eventually ending up with an AI system that writes slightly like an African.

Can AI therapists do better than the real thing?

My wife is a therapist, so the story Can AI therapists do better than the real thing? (oh hello, Betteridge’s law of headlines) piqued my interest, since we’ve had lots of conversations about this kind of thing.

The story starts off with some really interesting anecdotes about people forming “relationships” with their therapy chatbots, but it then turns towards some of the concerns and drawbacks, and how one client (not a fan of the use of “patient” in the article) ultimately dealt with the bot they created.

One example of the things that AI therapy bots can’t replace:

Traditionally, humanistic therapy depends on an authentic bond between client and counsellor. “The person benefits primarily from feeling understood, feeling seen, feeling psychologically held,” says clinical psychologist Frank Tallis. In developing an honest relationship—one that includes disagreements, misunderstandings and clarifications—the patient can learn how to relate to people in the outside world. “The beingness of the therapist and the beingness of the patient matter to each other,” Grosz says.

Figma’s CEO on life after the company’s failed sale to Adobe

Alex Heath has a really interesting interview with Figma’s CEO Dylan Field, covering life at Figma after regulators forced Adobe to abandon its $20 billion acquisition of his company. It covers a wide range of topics, but I wanted to highlight Field’s thoughts on generative AI, which largely matches my own viewpoint:

If I was to zoom out even further to knowledge work, we’re very much in a paradigm of AI as a tool and AI helping people get work done, but it’s not necessarily a replacement. I really think that there’s a human in the loop going forward in that AI might be a useful tool, but we all know its limits in terms of hallucinations, in terms of potential inaccuracies. Even if you apply it to rote tasks, it’s important to check the work. And you know better than anyone as a writer that the current models do not match your ability to write, let alone gain context in a conversation to ask the right questions or show the intelligence that you have as a journalist.

If you think about what it takes to create great design, there’s so much in that context window that’s emotional or thinking temporally about a brand experience or a user flow. I just don’t see how, in the near term, AI is able to have that as part of its context, which means that humans are providing that.

To Own the Future, Read Shakespeare

I’ve always said that when I grow up I want to write like Paul Ford. Well, I’m all grown up now. I still don’t write like Paul Ford, and he still writes absolute gems like To Own the Future, Read Shakespeare—in my opinion the final word on the value of the humanities:

A programmer sneers at the white space in Python, a sociologist rolls their eyes at a geographer, a physicist stares at the ceiling while an undergraduate, high off internet forums, explains that Buddhism anticipated quantum theory. They, we, are patrolling the borders, deciding what belongs inside, what does not. And this same battle of the disciplines, everlasting, ongoing, eternal, and exhausting, defines the internet. Is blogging journalism? Is fan fiction “real” writing? Can video games be art? (The answer is always: Of course, but not always. No one cares for that answer.)

Generative image AI as reading companion

A friend recently mentioned that he is feeding DALL•E prose from the fantasy novels he is reading, and asking it to create images of the scenes. This sounded like an excellent idea to me and since I am currently re-reading Lord of the Rings (this beautiful edition), I’ve been doing the same. It has genuinely enhanced my enjoyment of the book to create “text-accurate” images of the characters and scenes as I read.

Here are a few of my favorites (yes, I’m still in Fellowship)…

Tom Bombadil exactly as he appears the first time in the book:

Aragorn the first time he is fully described:

Frodo when he encounters the Ringwraiths on Weathertop. I forgot about the red sword (since the movies gave their swords a blue glow):

In case anyone is interested, here is the prompt I’m using:

Please generate images of the description below. Create one image in each of the following styles:

- **Surrealistic Photorealism**: Combining hyper-realistic details with surreal elements to create a dreamlike yet sharply detailed image. - **Gothic or Dark Romanticism**: Emphasizing darker, more mysterious elements of the description, with a focus on emotion, nature, and the macabre.2. **Magical Realism**: Blending realistic and fantastical elements in a way that treats the extraordinary as everyday, enhancing the mystical aspects of the description.

I then choose the style that seems most appropriate, and sometimes add/remove some details. It’s a fun experiment, you should try it!

How ✨ became the unofficial AI emoji

I’ve definitely seen this too! How ✨ became the unofficial AI emoji:

In the relatively short history of emoji, sparkles have been used to express excitement and magic, said Jane Solomon, the senior emoji lexicographer at the emoji reference site Emojipedia. Branding new AI products with the ✨ emoji suggests that these tools are exciting and magical, which might encourage more people to test out the technology. “It can seem like magic if you don’t understand how it works,” Solomon said.

Algorithms Hijacked My Generation. I Fear For Gen Alpha.

This is a bleak take, but I have to admit that I am also concerned.

I believe we have some personal agency. I also believe that a 12-year-old’s mind is no match for a giant corporation using the most advanced AI to manipulate her behavior. Gen Z were the first generation to have our vulnerabilities and insecurities fed into a machine that magnified and refracted them back at us before we had any sense of who we were.