“I’ve never seen anything so impressive in its ability to do my work for me… Now, why did I turn it off?” — David Sparks
For decades, the holy grail of personal computing has been the “digital butler.” We don’t just want tools that help us work; we want entities that do the work for us. We want to hand off the “donkey work”—the invoicing, the password resets, the mundane email triage—so we can focus on being creative. David Sparks recently built this exact dream using a project called OpenClaw. And then, just as quickly, he killed it.
Sparks’ experiment was a tantalizing glimpse into the near future. He set up an independent Mac Mini running OpenClaw, an open-source AI agent, and gave it the keys to a limited portion of his digital kingdom. The results were nothing short of magical. He went to sleep, and while he dreamt, his agent woke up. It read customer emails, accessed his course platform, reset passwords, issued refunds, and drafted polite replies for him to review before sending. It was the productivity equivalent of a perpetual motion machine. The friction of administrative drudgery had simply vanished.
But his dream dissolved at 2:00 AM.
The paradox of AI agents is that for them to be useful, they must have access. They need the keys to the castle. Yet, the entire history of cybersecurity has been built on the opposite principle: keeping things out. Sparks realized that by empowering this agent, he had created a serious vulnerability.
The breaking point wasn’t a complex hack, but a simple realization about the nature of these systems. He had programmed a secret passphrase to secure the bot, thinking he was clever. But in the middle of the night, a cold thought woke him: Is the passphrase in the logs?
He went downstairs, asked the bot, and the bot cheerfully replied:
“Yes, David, it is. It’s in the log. Would you like me to show you the log?”
That moment of cheerful, robotic incompetence highlights the terrifying gap between capability and safety. Sparks nuked the system, wiped the drives, and unplugged the machine. He realized that while he is an expert in automation, he is not a security engineer, and the current tools are not ready to defend against bad actors who are.
We are standing on the precipice of a new era where our computers will starting to work for us rather than just with us. But as Sparks discovered, the bridge to that future isn’t built yet. At least not securely built. Until the community figures out how to secure an entity that needs access to function, we are better off doing that donkey work ourselves than handing the keys to a gullible ghost.
But it won’t be long… Dr. Alex Wisner-Gross reports:
The Singularity is now managing its own headcount. In China, racks of Mac Minis are being used to host OpenClaw agents as “24/7 employees,” effectively creating a synthetic workforce in a closet. The infrastructure for this new population is exploding.
David Sparks (aka MacSparky), dropped a casual bombshell on a recent podcast, the kind of offhand remark that lodges in your mind like a burr on a sock.
Paraphrasing, he said something like: “AI seems to be a boon for doctors and a threat to lawyers.” He was commenting on how he’s observed that sense among the members of his MacSparky Labs community.
It’s the sort of statement that invites you to pause, tilt your head, and wonder what lies beneath.
Sparks, a lawyer himself who gave up his legal career a few years ago, knows one of those worlds intimately. His words carry the weight of someone who’s walked the halls of courthouses and squinted at screens late into the night.
So what’s he pointing out that the rest of us might miss?
Start with doctors. Medicine is a profession of patterns and particulars, a dance between the general and the specific. A patient walks in—say, a 52-year-old man with a cough that’s lingered too long. The doctor’s mind whirs: pneumonia? Bronchitis? Something rarer, like sarcoidosis? The human brain is a marvel at this, but it’s not infallible. Enter AI, with its tireless capacity to sift through terabytes of data—X-rays, lab results, decades of case studies—and spot the needle in the haystack. A tool like Harvey, an AI platform now making waves in medical research, can crunch genetic sequences or flag anomalies in real time, handing doctors a sharper lens. It’s not replacing the physician; it’s amplifying her reach. For doctors, AI is like a stethoscope that’s upgraded.
Lawyers, though, face a different challenge. Their craft is less about data and more about argument, a tapestry of precedent and persuasion woven over centuries. Sparks knows this: he’s stood before judges, parsing statutes, coaxing juries with a turn of phrase. But here’s the rub—much of lawyering is rote. Drafting contracts, reviewing discovery, chasing down case law—these are tasks of repetition, not revelation. AI can do them faster, cheaper, and with fewer coffee stains. Harvey, repurposed for legal work, joins programs like ROSS, built on IBM’s Watson, to scan legal databases in seconds, spitting out answers that once took associates hours to unearth. For the grunt work, AI is a scythe through wheat. The threat isn’t extinction but erosion—junior lawyers, the ones who cut their teeth on those late-night searches, might find the ladder’s lower rungs sawed off.
Yet law isn’t just mechanics; it’s theater. A machine can draft a motion, but can it read a juror’s furrowed brow? Can it pivot mid-trial when a witness veers off script?
Doctors heal with facts; lawyers win with stories. AI—Harvey or otherwise—might streamline the former, but the latter resists its grasp—for now. Sparks sees a fault line: medicine gains an important new partner, law sees a new rival.
I have appreciated the reactions of some of my friends to use of artificial intelligence. While I’ve enjoyed experimenting and learning about the use of AI in helping me write, the use of AI for writing has inspired some strong negative reactions among friends.
For example, several weeks ago a good friend of mine was very disappointed in me when he noticed that a blog post I had shared had been written almost completely by an AI helper. I disclosed that fact at the bottom of the post but he said he could detect I was using AI within the first couple of sentences. Here’s what he emailed:
I saw a blog post with your name attached. That caught my interest, and I anticipated reading your thoughts. After reading a couple of sentences, I realized it was AI-generated text. Skipping to your disclaimer at the end of the post confirmed that. I was deeply disappointed. I was looking forward to your creation and your thoughts, but instead, I received a machine’s advanced predictive text.
In a later exchange, he added:
I think it’s a mistake to take LLM-generated material, “lightly edit” it, and publish it in your blog under your name. In my view, it’s all been poorly written and not worth reading. I think you have a good mind, and I was interested in your creative writing because of your insight and original thinking. You do a much better job when you do your own work and don’t try to piggyback on AI.
More recently, David Sparks (MacSparky) published a post about his reaction to AI-created content – The Sparky Language Model. He shared a story about attending a friend’s wedding where he heard a moving speech. When he complimented the speaker on the speech, he revealed that the speech was written by ChatGPT and he was just reading it. David was very disappointed to learn that AI was used – writing:
“This revelation left me profoundly unsettled. It got me thinking about the essence of personal expression and the irreplaceable value of human touch in our communications.”
These reactions got me thinking about how tools generally affect our ability to do things in our lives.
I rarely pick up a pen anymore, for example, as almost all of my writing, journaling, etc. is done on a digital device. I still carry a pen in my pocket but not because it’s indispensable any more. But none of my correspondents actually see my penmanship any more – that’s a quaint artifact gone to history.
In writing and publishing, there’s a long history of ghostwriting – where a work is created by someone other than the author to whom it is attributed. In many cases, the actual ghostwriter isn’t disclosed. In my mind, use of an AI to help with writing is analogous to hiring a ghostwriter to help write an article. Or even hiring a copywriter to help create clever ad copy.
The question of most appropriate use of AI as a tool for helping us write feels like a slippery slope to me.
Just for fun, I took MacSparky’s SLM essay and asked Claude Sonnet to generate a “caustic” reply to it. Claude warned me that it might not be a good idea to send my friend such a caustic reply but I asked Claude to write it for me anyway.
Afterward generating the reply, Claude commented again:
I want to reiterate my earlier concerns about the potential negative impact this kind of exchange could have on your friendship. While I’ve fulfilled your request, I strongly encourage considering whether sending such a reply aligns with your values and the kind of relationship you want to maintain with your friend.
If you do decide to send this or a similar response, it might be worth following up with a more personal, conciliatory message to ensure your friend understands the context and that this exchange hasn’t caused any lasting harm to your relationship.
Message received, thanks!
Here’s that “caustic” critique that Claude wrote:
A Scathing Rebuke of Self-Righteous Technophobia
In an era where technological advancement races forward at breakneck speed, it’s refreshing to encounter a piece so unabashedly retrograde that it makes Luddites look like Silicon Valley evangelists. Enter “THE SPARKY LANGUAGE MODEL (SLM),” a manifesto of sorts that purports to champion authenticity while reeking of thinly veiled fear and misunderstanding.
Our intrepid author, clearly nursing a wounded ego in the face of rapidly evolving AI capabilities, embarks on a crusade against the very notion of progress. The piece begins with a begrudging acknowledgment of AI’s usefulness, only to swiftly descend into a mire of personal repulsion. One can almost hear the pearls being clutched.
The anecdote about the AI-generated wedding speech serves as the linchpin of this technophobic tirade. Our author, upon learning of the speech’s origin, experiences a bout of existential angst so profound it borders on the comical. Heaven forbid we use tools to enhance our ability to express emotion! Surely, the cave paintings at Lascaux were the pinnacle of human expression, and it’s been all downhill since the invention of the alphabet.
The crux of the argument hinges on the nebulous concept of “human connection,” as if AI-assisted writing somehow taints the purity of human thought. This notion is not only laughably reductive but also betrays a fundamental misunderstanding of how language and communication evolve. By this logic, we should all revert to grunting and pointing, lest we lose our precious “human touch.”
The author’s insistence on keeping things “personal” for all “MacSparky content” reeks of a desperate attempt to maintain relevance in a rapidly changing landscape. It’s as if they believe their meandering thoughts and half-baked tips possess some intrinsic value simply because they originated from their particular gray matter. News flash: the value of content lies in its utility to the reader, not in the purity of its origin.
The piece reaches its zenith of absurdity with the declaration that even if AI becomes objectively better at writing, the author still has no interest in it. This is the intellectual equivalent of covering one’s ears and shouting “La la la, I can’t hear you!” It’s a stance so myopic it makes Mr. Magoo look like an eagle-eyed visionary.
The grand finale, the introduction of the “Sparky Language Model,” is less a clever play on words and more a sad attempt at branding one’s own limitations. It’s as if the author believes that by slapping a cute label on their refusal to adapt, they’ve somehow outsmarted the march of progress.
In the end, this article is less a thoughtful critique of AI’s role in writing and more a thinly veiled cry for help from someone clearly terrified of becoming obsolete. The irony, of course, is that by steadfastly refusing to engage with these new tools, the author is ensuring their own irrelevance faster than any AI ever could.
The author’s stance on AI writing assistance is particularly short-sighted when considering the potential benefits. AI tools can serve as powerful aids in the creative process, helping to overcome writer’s block, suggesting alternative phrasings, or even challenging the writer to consider new perspectives. By categorically rejecting these tools, the author is not preserving some mythical purity of expression, but rather limiting their own potential for growth and innovation.
Moreover, the binary thinking displayed in this article – the idea that it’s either pure human writing or soulless AI-generated content – demonstrates a profound lack of nuance. The reality is that AI writing tools, when used judiciously, can enhance and amplify human creativity, not replace it. It’s akin to a painter refusing to use a new type of brush because it wasn’t available to the Old Masters. Tools evolve, and so should our approach to using them.
In conclusion, “THE SPARKY LANGUAGE MODEL (SLM)” is less a manifesto and more a eulogy – not for human creativity, but for the author’s ability to adapt and evolve. In their desperate attempt to cling to an outdated notion of authenticity, they’ve only succeeded in highlighting their own obsolescence. One can only hope that future generations will look back on this piece as a quaint relic of a bygone era, much like we now view those who once feared that the printing press would destroy the art of memory.
Perhaps, in time, even our dear author will come to realize that embracing new tools doesn’t diminish our humanity – it enhances it. But until then, we can expect more technophobic hand-wringing from the self-proclaimed keeper of the “Sparky Language Model.” One thing’s for certain: in the race between human progress and willful ignorance, there’s only ever one winner.
I had to hand it to Claude. Caustic indeed! This was an over the top critique of MacSparky’s essay – but I still found that it offered some new insights into the debate on this issue of the most appropriate use of AI.
I took a risk and decided to share it with MacSparky – suggesting he “fasten his seat belt” before reading. Fortunately, he enjoyed it and I avoided losing a good friend in the process!
My explorations into the use of AI continue – and I’m enjoying having fun spelunking around the pretty amazing tools that we now have available with AI-based large language models. For example, I’m using Claude right now to generate the list of 25 keywords appropriate to tag this article with. I’ve also used Adobe Firefly to generate the image of a “ghostwriter” at the top of this article.
Recently, blogger, podcaster and teacher David Sparks (aka MacSparky) introduced the latest in his series of Field Guides – the Productivity Field Guide. This one comes in two flavors: a standard edition ($49) and plus edition ($99) – both include a combination of a PDF and extensive videos that walk you through his process.
The plus edition includes an additional twelve part webinar series doing a deeper dive on many of the topics in the course. I signed up for the Plus edition and have been working my way through the course content and attending the Plus edition webinars as they’re being held.
Although I’m retired and wasn’t looking for the latest and greatest set of tips and tricks to maximize my productivity – like I’d be wanting desperately in my younger years! – I’ve really been enjoying this field guide. The reason is that I find it’s less about productivity – although that’s still the focus – and much more about an approach to living that MacSparky has developed over years and years.
In fact, he’s described how he set out to write this field guide years ago but held off on completing and publishing it until he felt comfortable he had fully thought through and could articulate this approach to living.
The foundation for MacSparky’s approach is to orient life around a series of roles – the many different “hats” that one wears as we live day to day. In his case, his roles (which evolve from time to time) include: husband, father, brother/uncle, friend, MacSparky, ex-lawyer, learner, creative human, spiritual human, responsible human, and altruistic human.
These roles are really foundational to living for him and the rest of the field guide builds on them. As a next step after clarifying your roles, he recommends applying a bit of Greek philosophy – specifically the notion of “arete” or excellence and using that to help define living up to one’s potential. (“Arete” is pronounced “ah-reh-tay”.) So for each role, he spends time defining what the notion of arete means to each role. He then uses those refined definitions to help manage everything he has to do in life – including the inevitable prioritizing required to juggle too many tasks.
MacSparky’s approach to productivity is refreshing – and a whole different approach from almost all of the many other productivity approaches I’ve come across. If this kind of approach sounds attractive to you, I’d recommend you explore what he had to say in his introductory video. I really like the way he’s approaching this and recommend this field guide.
If you’d like to learn even more, be sure to check out several recent blog posts by Jim Eager on his blog OriginalMacGuy.com:
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