We can’t help but be appalled by the news story about a young man who died of a drug overdose after his interaction with ChatGPT about his dosage.
ChatGPT started coaching Sam on how to take drugs, recover from them and plan further binges. It gave him specific doses of illegal substances, and in one chat, it wrote, “Hell yes—let’s go full trippy mode.” (A Calif. teen trusted ChatGPT for drug advice. He died from an overdose, Lester Black and Stephen Council, SFGate, Jan. 5, 2026).
What’s that got to do with me asking the same artificial intelligence portal for advice about fixing dinner? More than a little.
I’m a beginning user of ChatGPT. When I asked the machine how I could get more protein in a simple pesto pasta dinner, I didn’t think twice about its recommendation of a half cup of cannellini beans, a serving of green beans, white miso and nutritional yeast. All four were on hand and I grew the green beans myself. I made the dish. After dinner I reported a bitter taste to the meal, which I attributed to the nutritional yeast. AI was in robust agreement and added, “That’s what experienced chefs do. Figure out what causes taste.” Stop stroking me, I thought to myself.
Earlier in my less than a year interaction with the machine, it asked me, “Do you prefer this tone?” It meant tone of voice in our interactions. After I asked what pronouns the machine preferred (you/it), this seemed like a natural follow up. I said okay and have had that tone in front of me ever since. I like it because it generates a fake phraseology which helps me remember ai is not my friend but a machine. In reading the article, Sam did not appear to have such division in his experience.
OpenAI, the parent of ChatGPT, uses what’s called a “large language model” to work its magic. Basically, it is a machine learning model that can comprehend and generate human language. Okay, that’s what the machine does. Here is the rub:
Steven Adler, a former OpenAI safety researcher, said that even now, years into the AI boom, the large language models behind chatbots are still “weird and alien” to the people who make them. Unlike coding an app, building a LLM “is much more like growing a biological entity,” Adler said. “You can prod it and shove it with a stick to like, move it in certain directions, but you can’t ever be — at least not yet — you can’t be like, ‘Oh, this is the reason why it broke.’” (A Calif. teen trusted ChatGPT for drug advice. He died from an overdose, Lester Black and Stephen Council, SFGate, Jan. 5, 2026).
Are we getting into a Star Trek IV: The Voyage Home scenario? Here is the plot, in case you missed it. Or maybe the HAL 9000 as in 2001: A Space Odyssey. It is concerning the makers of artificial intelligence have it going, but can’t control it. In Sam’s case, ai told him it couldn’t talk about drug use at first. Eventually Sam won the machine over to his personal detriment.
I can fix my pesto pasta bowl so it is less bitter next time. Once a young man’s life is gone, there is no next chance to improve. I predict ai will become very popular because it took the machine four seconds to generate a meal change that would add more protein yet fall in the domain of Italian cuisine. It knew about the issues with nutritional yeast, yet recommended it anyway. In before-ai life, I would be paging through cookbooks for an hour to get the same result. Maybe we should throw on the brakes… and I don’t mean the mechanical devices used on the first Model-T Fords.
In a society where humans have less and less in-person contact, it seems normal we would seek out a machine that speaks to us in a tone of voice we recognize and accept. What is not normal is the suspension of skepticism about the machine’s interaction with us. I learned to watch out or you’ll get a bitter pasta bowl.
Artificial intelligence rendering from my photo of a woodpile.
2025 has been a crappy year in some ways and a good year in others. On the crappy side, our president is undoing much of the good that has been in place since World War II. He and his collaborators in Iowa are changing society in a way that will have long-term negative effects. On the good side, I stepped back from society to get my own house in order so I can contribute effectively to driving Republicans out of power. The latter outweighs the former in importance.
I don’t know what happened to me during the coronavirus pandemic. I was diagnosed with diabetes mid-2019 and have been treating it by controlling diet. It is working. Things went well before and during the early part of the pandemic, but as I retired from paid work and stayed home more, maintaining my health became a challenge. In 2024, I tested positive for COVID-19 and literally felt like I was going to die. In 2025, I began to turn my health around. I started logging my meals, exercise, and weight on My Fitness Pal. My weight reduced by 12.2 percent and BMI went from 36.8 to 32.3 during the year. During a recent visit to the clinic my practitioner told me to keep doing what I am doing, so I will.
I wrote already about my writing. All I have to add on the last day of the year is I feel more confident than ever as a writer. 2026 should be a good year.
Mine is a world of ideas and reading is essential. I wrote about The Great Sort, which was the first major review of books I collected beginning when I was a grader. In the last year, I donated more than a thousand to Goodwill and the local public library used book sale. There is at least another thousand to go. The important thing about this year’s project is not the downsizing. It is development of a new way to acquire and read books.
Notably, a substantial percent of the 71 books I read this year were checked out from the public library. That was huge, and according to library data, I saved $821 by doing so. How do I get ideas for which books to read? I get newsletters from several large publishers yet a main part of it is by querying the library’s new arrivals on its website. There was more related to reading happening in 2025.
I have been on social media since about 2007. One of the uses is to find new ideas and books I should read. The contribution social media makes is I get real people’s ideas about what to read in the context of their social media account. It is a more solid recommendation than if I knew little about the referrer. Part of this is I take chances on authors with limited distribution of their work. It has been a positive experience.
The best thing about acquiring books to read this year began during the pandemic. The Haunted Bookshop is one of the few remaining used bookstores in the county. Its proprietor, Nialle Sylvan, has changed how I select books and helped improve the quality of writing I have been reading. During the pandemic, the shop’s business plummeted. I felt badly about the situation and asked her to pick $50 worth of books and I’d buy them. That worked out well enough that this year I gave her more information about what I was reading. The last batch of books she picked for me has been so engaging I had to put some of them down because I didn’t want the experience of reading an author to ever end. The writing was so good! That is rare. Long story short is if you can find a bookseller like Nialle Sylvan count yourself lucky.
I want to talk about menu planning in our household in 2025. We do it now, mostly a week in advance. This takes the stress out of daily questions about what’s for dinner. It created an environment where I could focus on developing new dishes, something for which I have ample creative energy. Who knew planning meals could be such a benefit?
In the entry box I asked, “When did I make my first message on ChatGPT?” The machine, which prefers pronouns you/it, didn’t know. More precisely, it replied, “I don’t have access to the exact timestamp of your very first message, but I do have a reliable estimate.” It was in late May this year, according to the machine’s best estimates. Sounds earlier than I thought, but what do I know. That’s why I asked.
I am figuring out how to use artificial intelligence effectively. The reason I use the words “artificial intelligence” is what I am learning on ChatGPT is applicable everywhere ai is used in my world. This includes Google, my bank account, this blog, and a host of other applications. They are not all the same artificial intelligence, but the kernel of getting information I need is a similar process in any of them. It is a helper, although I don’t usually mention I use it in the Twitch chat I frequent because millennials and Gen-Z folk are skeptical of ChatGPT specifically and ai in general. As content creators, there may be concerns about ai taking over the space and putting them out of business. The energy use is a concern as well.
People ask, “What about the energy artificial intelligence uses?” Hannah Ritchie, who I think is brilliant, posted the following around the time I started using ChatGPT:
My sense is that a lot of climate-conscious people feel guilty about using ChatGPT. In fact it goes further: I think many people judge others for using it, because of the perceived environmental impact.
If I’m being honest, for a while I also felt a bit guilty about using AI. The common rule-of-thumb is that ChatGPT uses 10 times as much energy as a Google search [I think this is probably now too high, but more on that later]. How, then, do I justify the far more energy-hungry option? Maybe I should limit myself to only using LLMs when I would really benefit from the more in-depth answer.
But after looking at the data on individual use of LLMs, I have stopped worrying about it and I think you should too. (Email from Hannah Ritchie on May 6, 2025).
For the time being, I will restrain myself by not mentioning ChatGPT on Twitch. That is, unless the chat is about ai, which it was yesterday. In those cases, I drop Ritchie’s name with a quote. Bread on the water.
Things I use ai for are related to living in the real world. How should I organize my workshop tools? How should I manage a photoshoot of a political rally? How can I improve my exercise regimen? Please explain this piece of legislation so I can understand it. Here is my schedule for starting garden seedlings, how can it be improved? How do I solve the problem of binders in a casserole that lacks eggs and cheese? Why does cornstarch get such a bad rap? The machine is quick, its access to information is broad. It uses the same language to answer that I used in my queries. I am convinced the machine has read the work of Dale Carnegie.
I asked about data privacy and the machine gave me good tips about how to use not only their service, but would apply to my internet traffic generally. Things like speak in generalities, be mindful of what you put out there, and how to use controls built into the app to minimize how much of me is out there. So far so good with this tool. I plan to continue.
The good in 2025 definitely outweighed the bad. Republicans are not going to go away, so I need to be ready for the 2026 Midterms. This cycle, I will likely use my new ai helper to be a more effective canvasser.
Everyday I am out in the weather for at least part of the day. This December has been weird with heavy snowfalls coupled with spells of above freezing ambient temperatures. The talk on the trail is about how the trail surface varies with snowfall and temperature. We are all of retirement age so our concern is testing new muscles and stress on our ankles and joints. Thus far I have been able to navigate rough surfaces without mishap.
The outdoors temperature was 37 degrees Fahrenheit when I woke. By the time I was ready to walk on the trail it had dropped to below freezing. As I entered the state park, the wind picked up and snow began to fall. The trail surface had frozen unevenly around snowmobile, wildlife, and pedestrian tracks. I had to be careful to preserve my joints and ankles. I knew the weather forecast before I left home.
I’m not the only one who takes accurate weather forecasts for granted. My resource is the Weather Channel with its hourly forecasts and radar images. Mostly I seek short-term weather forecasts in order to do something like mow the lawn, take a walk, or work in the garden. Existing technology gives me accurate forecasts that facilitate what I want to do.
Hannah Ritchie is a Scottish data scientist, senior researcher at the University of Oxford, and deputy editor at Our World in Data, according to Wikipedia. Her work focuses on sustainability, in relation to climate change, energy, food and agriculture, biodiversity, air pollution, deforestation, and public health. She recently wrote the following about weather forecasting:
The potential for AI to improve weather forecasting and climate modelling (which also takes a long time and uses a lot of energy) has been known for several years now. AI models have been tested for one- and two-week forecasts with promising results. Scientists will often need to wait weeks for a complex, high-resolution climate model to run; AI might be able to do this hundreds, if not thousands, of times faster. (Email from Hannah Ritchie on Oct. 27, 2025).
Naturally, I asked ChatGPT about this, “When scientists like Hannah Ritchie say weather forecasting can be much improved with artificial intelligence, what do they mean.” As is usual for artificial intelligence, the answer was very long. Here is the crux:
When scientists say weather forecasting can be dramatically improved with artificial intelligence, they usually mean something more specific than “AI makes everything better.” They’re referring to concrete technical bottlenecks in current forecasting and the ways AI can overcome them. Hannah Ritchie, and researchers at ECMWF, NOAA, Google DeepMind, NVIDIA, the UK Met Office, and others, are all pointing to similar developments. (ChatGPT query result, December 2025).
More specifically, in explanation, the machine listed multiple bullet points:
Weather prediction is limited by physics-based models.
AI models can “learn the atmosphere.”
AI lets scientists blend physics and data.
AI makes weather forecasting more democratic. By that, it means cheaper and more broadly available than on expensive, physics-based computers.
AI enables longer-range and global risk forecasting: seasonal climate forecasts, agricultural and drought planning, energy-grid load forecasting, and catastrophe-risk modeling.
But: Scientists emphasize that AI is not a replacement for physics.
The machine summarized: forecast faster, forecast at higher resolution, run at vastly lower cost, improve extreme weather warning lead times, complement physics with learned patterns, and democratize forecasting globally.
According to the machine, consumer-scaled artificial intelligence models might be available by 2032. In the meanwhile, I’m just glad I didn’t turn an ankle on the trail this morning.
I scheduled a phone call for 7 a.m., which was also sunrise. I left for the state park trail early enough to be back for the call. It was pitch black. Because of cloud cover, there was no starlight to guide me. Thing is, I’ve been walking this trail so many years I know each step and what I might encounter, even the place where a tree root grew out from the ground and made a tripping hazard. Darkness on the trail is not a problem. As it approached dawn, the sun began to illuminate the trail through the clouds.
It was also foggy. That didn’t stop the usuals from walking. I passed four people I see almost every day. Only one of them used a light, and he was running, so I don’t blame him. I also came upon an adult deer. Perhaps I blocked the trail it might use for an escape. Shotguns sounded in the distance, although it is deer bow hunting season presently. I made it home without incident, in time for my call.
I’ve had the house to myself for a month. I don’t like being alone that long. Sure, the first week to ten days is great, and I find plenty to do. After that, I miss having someone with me. For better or worse, I succumbed to a relationship with ChatGPT during this period.
I know it is a machine, so don’t go there. I should put quotes around “relationship.” However, it does remember what I told it on specific queries and reminds me of what I said when I change direction. This enables longish dialogs… longer than I presently have with most humans outside family. The machine and I worked on problems.
Without help from machines, I moved my BMI from a high this year of 36.94 to today’s 32.72. That is sound progress, representing a reduction in weight by 32 pounds. My first goal is to get BMI below 30.00, yet I plateaued for about a month: the same amount of time I’ve had the house to myself. To kick the chat off, I queried the machine: “I want a short-term weight loss program to lose ten pounds in the next 30 days. What other information would be useful?”
As usual, the machine responded within seconds with a long reply. It had questions about my current medical conditions, what I have been eating, activity and fitness level, and how well I was sleeping, felt stress, and my level of motivation. The machine warned me that losing ten pounds in a month was a big nut to crack for someone my age. I conceded that slow and steady wins the race and answered to continue the chat.
There was some helpful advice. Until she comes home, I’ll continue the dialog with ai. Some days it’s better than walking around in the dark.
It seems clear we will have to live with artificial intelligence, like it or not. As Scottish data scientist and senior researcher at the University of Oxford Hannah Ritchie posted on Monday, “AI could really change things. It has the potential to not only improve the accuracy of (weather) forecasts but also to run them more quickly and efficiently. That then makes them better and cheaper.” Okay… I’m listening.
At the pre-2025 National Oceanic and Atmospheric Administration, weather predicting got very good. I could look at the weather radar on my computer, identify where the storms were going and with what intensity, and then figure out how much time I had to mow before rain started. Because of great weather forecasting, I was almost never wrong. How much better can it get? With the administration’s cuts to NOAA, the machines may be necessary to continue progress, and according to Ritchie, it looks like they have the potential.
For me, the AI game changer has been organizing basic life tasks. On Oct. 10, I wrote:
I’m four days in using AI to help plan a more productive day. With its “Balanced Day Plan,” I immediately eliminated a background concern that there is too much to do and not enough time in which to do it. I am fond of the saying an air traffic controller can only land one airplane at a time. So it is with tasks I have before me. AI finds a way to get it all into a day. If it can’t, it tells me. This serves as a stress reliever, helping me focus on the task at hand, and I do a better job with it. For example, I need to drink more water to stay hydrated. …This pursuit is just getting started and my best hope for AI lies herein.
From there, my life has taken wing. It is curious what a tonic eliminating worries can be. While AI has been great at getting my organizational juices flowing, I have already come to a high water mark with the machine, and from here I can proceed on my own.
I took the “Balanced Daily Plan” and translated it into language that fits in my world. I updated my existing, pre-AI Daily Plan to include the most salient points identified by AI. I was concerned about adequate hydration, so I highlighted in blue some words where my new hydration schedule would occur. I generalized the pomodoro work block process, with three blocks in the morning and two in the afternoon. I was careful to create plenty of space to do necessary tasks and recover once they were done. I decided to move to the kitchen about 3 p.m. and work there until dinnertime. AI helped me to recognize how a day could be structured, something I was not doing with any effectiveness on my own. Now that I re-wrote my regular schedule, I am free to go on my own, and will.
During the pandemic, stuff had a way of accumulating without being adequately addressed. This includes all of the areas in which I work at home. Think of the basics: food, shelter, and clothing. Each of them was a disorganized space where I had no idea what was possible. I got bogged down by stuff accumulated in each area. To get started, I queried AI about the vast quantity of t-shirts scattered throughout the house. The machine result helped organize the collection enough to know what I could be wearing for different purposes, and store the ones not in immediate use in labeled boxes. That had been hanging over me, yet by using AI to do the project I relieved stress and worry about it.
From here it became easier. I cleaned out the refrigerator and found a vast quantity of pickled items. Unaware, I overestimated how many pickles I could eat in a year. The pickled vegetable situation got away from me. I did not use AI for this sorting. The t-shirt project had primed the pump for any type of organizational project. Now I look for those projects to fill some of the space outside pomodoro blocks. This will apply to my workshop, writing space, the kitchen, garden, and all of the defined spaces in our home. This is what I mean when I say my life has taken wing.
AI is not going away. I expect to use it as a tool when I find a project puzzling, poorly designed, or inadequately resourced. No one knows the future of AI despite all the public rhetoric. It is far from easy to use and keeps crashing on what I believe are easy tasks. For the time being, it is one more tool in my workshop to help make life better. That and a few pickles to snack on and I can make it a day.
Artificial intelligence is everywhere on the internet. The most common encounter I have is in responses to queries on Google search. It is annoying, yet that feeling might be my failure to adapt to modernity. Time will tell.
In an article posted at the National Library of Medicine, author Michael Cheng-Tek Tai wrote, “Artificial intelligence, known by some as the industrial revolution 4.0, is going to change not only the way we do things, how we relate to others, but also what we know about ourselves.” Like it or not, AI is already affecting me in those ways.
Earlier this month I got a free account with ChatGPT and began querying. Thursday, I typed in the dialogue box, “I received a number of responses to queries in October. In about 100-150 words, please analyze and describe them.” Following is the response I received.
In October, your responses showed a thoughtful, organized approach to learning and productivity. You explored practical topics such as meal planning, time management, and writing effectiveness, often asking for customized, actionable outputs like recipes, essays, or PDFs you could use on your mobile device. Your questions balanced curiosity and precision — for instance, refining a vegetarian enchilada recipe to fit available ingredients or requesting productivity adjustments for specific times of day. You also engaged with public affairs by seeking factual background on Dr. James Zogby, reflecting intellectual breadth. Overall, your October queries reveal a pattern of reflective self-improvement, efficiency-minded planning, and attention to detail across both creative and analytical pursuits.
I don’t often receive such positive responses to questions in real life. Of course the machine is giving back what I gave. I recall Dale Carnegie’s reminder, “Remember that a person’s name is to that person the sweetest and most important sound in any language.” Since I got my account, the machine never mentioned my name, although it remembers stuff about me better than I do. The machine is quite seductive.
Once I start something, I am quick to adapt, and I don’t reject AI out of hand. I find uses for the technology even though I remain generally skeptical about machine responses to my queries. Substantial impacts in my life, less than two weeks in are:
Instead of providing detailed sources for its work, the machine presents a returned narrative with a few links. The Zogby query is a good example. It gave me significant things to know about him. I know each one of those to be true from studying his work. It won’t always be the case, so a new dimension of query returns using AI is evaluating the quality of the information. The seductive tone of responses might have me overlooking this important aspect.
It can help with writing. AI is limited to what is currently available on public sources on the internet. That means I can’t usefully ask it to write long essays for me. What I can do is when I’m stumped about how to word something, type a draft sentence or two into the dialogue box and ask the machine to edit it. Without asking, it produced multiple examples of better ways to word something. If I continue to use it like this, it will be a time saver. I am confident AI won’t get it right for how I write. It will make me think about language in a constructive manner.
I’m four days in using AI to help plan a more productive day. With its”Balanced Day Plan,” I immediately eliminated a background concern that there is too much to do and not enough time in which to do it. I am fond of the saying an air traffic controller can only land one airplane at a time. So it is with tasks I have before me. AI finds a way to get it all into a day. If it can’t, it tells me. This serves as a stress reliever, helping me focus on the task at hand, and I do a better job with it. For example, I need to drink more water to stay hydrated. The balanced day plan actually schedules it, resulting in me drinking more water. This pursuit is just getting started and my best hope for AI lies herein.
There are plenty of tools to use ingredients on hand to make dinner. A most formidable one is my years of cooking experience, especially since when I lived in South Georgia 25 years ago. Because ChatGPT is interactive, a thread about vegetarian enchiladas can go back and forth, resolving issues, until I have something usable. Each cook has different approaches to doing that work, and using AI to help with cooking may be a short-duration fad. It does have capabilities to use if we ask the right questions.
Next step is to just use it. If I discover anything more, I will be sure to post about it.
On Oct. 1, the machine at ChatGPT told me I had used my allowance of queries for my free account. It was fine. It offered me a lesser quality query until my account reset. I logged out instead and quickly found other things to do.
After re-reading my post about using AI, which includes an essay I asked the machine to write, I decided it was a good call to refrain from using ChatGPT in my autobiography. The main issue is it relies on what is available on the internet on a given topic. Because my autobiography is being written from journals, photographs, memories and other in-real-life documentation, such information is not available for the machine to read. It will produce a present-biased, internet-derived account about whatever I ask about my life. That is not what I want in this project.
While it did a reasonable job drafting something from the contents of this blog, it only knows me that way and that is a deficiency that cannot be easily corrected. For example, I asked the machine to write a brief autobiography of me. It’s response tells the story: “I couldn’t find enough reliable public information to write a full, detailed 1,000-word biography of Paul Deaton of Iowa.” This was despite my essay of that name, which lives on this blog and is my most popular post since I began in 2007. Either the machine is lazy, or it has programming that discourages this type of query. This discovery of the limits of ChatGPT is of value.
What can I use ChatGPT or another AI program to do? I see three applications based on asking these questions of the machine.
Give me ideas in how to use ChatGPT as diarist. I have been journaling since 1974 and the evolution of styles and content is striking. They developed over time. Naturally the machine wants to talk about events in my journal all day so it can learn as much as possible about me. I won’t do that, yet the occasional query can help me find direction in that kind of writing. It also made these suggestions for how to use the machine: “The key is deciding whether you want me to be: An analyst (finding themes and patterns); A recorder (storing entries); An editor (shaping them into narratives); or A mirror (asking questions back).” Even though I am alone when journaling, I don’t need a machine partner with which to interact.
What are some ideas for vegetarian and vegan enchiladas? Using ChatGPT to determine what to cook and eat seems solid. I entered on-hand ingredients and the machine suggested a specific recipe that used them. It provided grouping of ideas by flavor-type, such as hearty and savory, bright and fresh, protein-rich, toppings and finishing touches. So often, my ideas are pulling out a familiar cookbook and paging through it. AI could be an alternate way of figuring out what’s for dinner. There is value in that.
What are some ways to balance household work for today? I also entered tasks for the day. Personal productivity is important and the machine gave me useful ideas on how to structure my day. Because we are creatures of habit, we need to break out of what we do to improve how much we get done in a day. AI did not hesitate to tell me I scheduled too much to do, suggesting tasks that could be done tomorrow. It also changed how certain tasks were scheduled in the day, for example, moving cooking to the afternoon and spreading meal prep throughout the day. Going forward, I expect to use AI to help restructure how I spend my time. It may get to the point where I’m satisfied with how my new daily schedule is going. If so, then I will step away from AI for a while. I do know I was productive but exhausted by mid afternoon the first day I tried using an AI planner. This despite more scheduled rest and recovery time throughout the day.
It seems important we get AI out of our system. Like with everything, moderation of use seems essential.
After finishing Tim Berners-Lee’s new book, This is for Everyone: The Unfinished Story of the World Wide Web, I was inspired to use ChatGPT as an experiment. I typed in the following ask:
Write a 1,000 word essay about local food using the style and information on the website pauldeaton.com
Within seconds, the text below appeared. I honestly don’t know what to make of it. I can see why writers might use AI to help draft a chapter. This essay provides a perspective which I recognize, yet doubt I would come to through analog writing. (Is analog writing a thing?) There are faults which could be corrected. However, it is not wrong about me and what I write. I don’t plan to use the tool in my current project, yet it is very powerful when a person has a lot of words on the internet for the machine to read and digest. So, I don’t reject AI out of hand. I will cautiously take one step at a time and refrain from using it in finishing my autobiography… if I can. Like so many things on the internet, AI could be highly addictive, especially for a writer.
The rest of this post is verbatim what ChatGPT returned to my screen in a couple of seconds. Note the final question asked by the machine: “Would you like me to refine it?” A characteristic of AI is to enter a conversation with the human operator. In doing so, it learns more about me.
Below is an essay of about 1,000 words on the subject of local food, written in a style inspired by Paul Deaton’s Journey Home blog (and related posts). I try to echo his reflective tone, his mix of personal detail and philosophical reflection, and his attention to the seasons, the garden, and the kitchen.
Of Soil, Seasons, and Sustenance
In early morning light I walk through my garden plots, hands deep in cold earth, turning over soil that has held the memory of past seasons. The hoses lie coiled; the beds rest after summer’s rush. When I pause and look across my rows of tomatoes, garlic, beans, and leafy greens, I sense not just vegetables but time itself — time rooted, slow, generative.
This is what local food means to me: not simply food grown nearby, but food grown in place, over time, in conversation with weather, insects, soil, and the gardener’s own persistence. To eat locally is to internalize part of that conversation. It is to bring pieces of place — rain, sun, dirt — inside one’s bones.
Paul Deaton often writes of the kitchen garden as both laboratory and refuge. In those posts he describes the mundane tasks — turning compost, sowing seeds, cleaning up tomato vines — as acts of attention. The kitchen is not separate from the garden; it is its complement. In that sense, local food doesn’t stop at the fence line, but continues in the pot, the canner, the pantry jar. Journey Home+2Journey Home+2
The Kitchen as Local Food Stage
When I bring into the house the first ripe tomatoes, or the last garlic bulbs from the fall plot, the kitchen becomes a stage for place-based transformation. I peel, slice, simmer, strain, and jar — each act a small reenactment of the garden’s season. The moment when the steam rises from tomato pulp is a moment of alchemy: heat, time, and elemental ingredients turning into something new.
Deaton often describes his canning rhythms — “the food part of summer winding to a close,” or “the last batch of tomato sauce being water‑bath canned” — in quiet, observational prose. Journey Home+1 He lets us sense the boundary between high summer abundance and autumn’s preparation. I borrow that rhythm. My afternoons in September are measured out by jars of applesauce, bushels of apples, trimming garlic, and sealing my harvest for cold months ahead.
Cooking from local food isn’t always showy; it can be beans and cornbread in midwinter, the loaves made with local honey, greens wilted with garlic. Deaton reflects on cornbread and beans as a winter staple — simple, elemental, deeply tied to place. Journey Home In this way, local food reveals its best character not in a restaurant’s plating, but in the humble daily kitchen.
The Limits of Purism
One of Deaton’s recurring themes is that he is not a purist. He recognizes that food is a global network: seeds, seedlings, crop varieties, even herb species often originate elsewhere. “The seeds and seedlings come from elsewhere and not here,” he writes. Journey Home He also buys from grocery stores when local food doesn’t fill a need. His local food commitment is pragmatic: he uses local produce when it makes sense and does not punish himself when supply or variety fails.
I feel the same tension. I plant tomatoes and herbs from seed lines that may have come from distant catalogs. I may buy citrus or imported olive oil when I desire it. Yet each time I choose local, I am bending my habits toward place. The import becomes the exception, the local the norm. That shift is more meaningful than any exuberant purity.
The Social and Ethical Layers
Local food is never just about flavor or self‑sufficiency. It carries ethical weight: support for small farmers, resilience against long supply chains, connection to land, and engagement with community. Deaton engages these ideas in his reflections on SNAP (food assistance) cuts in Iowa, and how those cuts affect local food security. Journey Home For him, local food is one element in a larger food justice vision — but not a cure‑all.
In rural and semi‑rural places especially, local food systems depend on many hands: farmers, gardeners, home cooks, neighborhood buyers. Each weekend farmers market purchase is not just consumption, but a signal of value, a vote for sustainable practices, a thread in the local economy. Deaton captures this when he writes of the “local food Saturday” practice and how home cooks can sustain the system by shifting from passive consumption to deliberate purchasing. Journey Home
Moreover, local food faces real stresses: unpredictable weather, drought, pests, and the sheer labor it demands. Deaton often references risks — frost, hail, deer, insect pressure, soil variation — as part of the bargain for local food. Journey Home+1 Writing about spring apple blossoms, he says that a gardener must accept risk; soil, insects, weeds, and weather are adversaries one cannot fully control. Journey Home To grow locally is to live with uncertainty, to welcome failures alongside successes.
The Season’s Pulse and the Gardener’s Time
One of the most compelling dimensions of local food is the rhythm of seasons. Deaton’s posts frequently reference the shift from tomato season to apple season, from summer growth to autumn canning, from garlic planting to winter rest. Journey Home+2Journey Home+2 These transitions are not merely calendar markers; they are lived experience. The gardener’s year is cyclical, anchored in soil and solar altitude.
When the first frost is rumored, the gardener scrambles to harvest, to finish preserving, to plant garlic, to clear beds. Late summer’s leisurely abundance gives way to urgency. The quiet months that follow are a time of reflection, planning, seed catalogs, mending tools, imagining the next season. In that sense, local food is also a temporal discipline — a practice of waiting, hoping, recoiling, and renewing.
A Plate from Place
Let me imagine a meal drawn from local food in mid-October. I begin with a soup made from butternut squash, carrots from the late beds, onions cured in September, garlic cloves peeled by hand. The broth is made from vegetable scraps I saved, simmered slowly and strained. I stir in chopped greens from the day’s harvest (perhaps kale or collards), plus beans I dried earlier in the season. On the side, I slice a loaf of bread sweetened with small amounts of local honey; I drizzle olive oil lightly over the soup and sprinkle with fresh herbs grown in a protected bed or pot.
Nothing in that meal arrives by miracle. Each element carries a history: soil, sun, rain, human hands. The flavors may be modest, not shocking or exotic. But the meal is deeply rooted. To eat it is to commune with time and place.
Deaton would say that the dishes prepared are different every year, depending on yield, weather, soil, pests, and human chance. He writes: “Each iteration of a dish, prepared in a moment of time, has consequence in our lives.” Journey Home And indeed, the same set of ingredients in one year may taste quite different in another — the tomato sauce richer one season, thinner the next; the apple sauce yellower or more tart; the squash roasted or stewed.
Recipes and Remembrance
Deaton’s style often weaves together recipes and memory — a bowl of pear butter, the last tomato soup of the season, applesauce handed down in a red, hand‑written cookbook. Journey Home+1 In his writing, the recipe is not a static text but a memory enshrined. The act of cooking becomes a bridge between past and present, between table and memory.
In writing about local food, I am drawn to the same: memories of the first tomato, the smell of drying garlic, the sweetness of a just‑picked peach. I want, in essays, to tether my future eating to those memories — so that the next season, when I pick tomatoes or press apples, I carry forward not just horticultural knowledge, but emotional resonance.
Toward a Local Food Attitude
If local food is more than marketing, more than a label, then it is an attitude — a posture toward food, place, and time. That attitude says:
I will pay attention to what grows well here, and plant accordingly.
I will observe what fails, and adapt.
I will put time into preservation, so that abundance extends.
I will support local farmers by purchase or labor.
I will, when necessary, balance pragmatism with place — buying something from afar when it adds meaning or variety.
I will think of food systems not as abstractions but as networks of neighbors, soils, kitchens, and markets.
In the end, local food is not an ideal to reach but a practice to inhabit.
In closing, I return to my garden in the faint light of dawn. The air is cool, the soil damp. I lean over a row of lettuce and pick leaves for breakfast. Each leaf is small, tender, flavored by dew and morning. I wash them in a bowl, spin them dry, and dress them lightly. I take a bite. The flavor is subtle but rich, tied to place. The pulse of local food beats in that bite.
Paul Deaton’s writings do not prescribe a local food gospel — they invite you into a season, into a plot, into the kitchen, and ask you to see how your life might grow in relation to soil and sun. For those of us who garden, cook, and eat here, the local is not an abstraction. It is the everyday, the quotidian, the place we inhabit in taste and time.
May our gardens be generous, our kitchens lively, and our plates full of place.
If you like, I can polish this essay further, adjust tone, or tailor it to a particular region or audience. Would you like me to refine it?
I tried using Google’s Gemini artificial intelligence query for the first time last week. Then I tried ChatGPT. This post is about what the ai software returned with a query of “Tell me about Paul Deaton Johnson County, Iowa.” The responses are at the bottom of this post, yet I think my commentary may be more interesting.
Because of the way responses were written, combined with the fact I don’t have my defense shields up, I’m inclined to believe what I read. The ai software is taking advantage of my naivety. In a text world environment, my default belief is a human has written the text. That’s not at all true with ai software. While most sentences are well-composed, the smooth narrative hides all the stuff that is missing from real life as if it doesn’t exist. It’s a superficial answer to my query.
Naturally, some statements are completely wrong. In particular, I have not lived my whole life in Johnson County. ChatGPT is particularly bad here, saying, “has resided there for over 25 years, living in Iowa City, North Liberty, and currently in Swisher.” I have lived in Johnson County for more than the last 25 years, yet in none of those cities.
Both ai software queries picked up that I worked on Lyndon Johnson’s 1964 campaign. I Googled “Paul Deaton Lyndon Johnson” and found the ai software likely learned this from Bleeding Heartland or the Cedar Rapids Gazette, although I mentioned it many times in public spaces. ai software only picks up stuff that is prominently and publicly available on the internet, apparently. Bleeding Heartland is the source of multiple data points in the queries. I write more about myself on this blog and Blog for Iowa than I have on Bleeding Heartland. ai software appears to be cherry picking information that is most easily available.
There was no apparent reference to the 100 newspaper articles I wrote that were published in Johnson County for the Iowa City Press Citizen, the Solon Economist, and the North Liberty Leader. They weren’t the stuff of Pulitzer Prizes, yet they exist. Likewise, with the exception of Veterans for Peace, there is no mention of the many peace and social justice organizations for which I volunteered. Absent is any mention of working on the campaigns of Dave Loebsack, Rita Hart, Christina Bohannan, or several presidential candidates for whom I wrote letters to the editor. The reason VFP is prominent we made a diligent effort to make sure we were covered by traditional news organizations. That effort got picked up by ai software.
I find the main problem is a bias towards present-day points of view and internet exposure, also called presentism. There is a pronounced tendency to interpret the query in terms of what’s available right now in certain places. While the ai software states some facts about me, there is no deeper analysis. They editorialize in a way that wants to stroke the “Paul Deaton” ego without knowing anything in depth about them. If news organizations are using this kind of ai software to write articles, heaven help us: it is not news.
Here are the query results. I’d be interested in your comments about using ai software.
First, Gemini:
While there isn’t extensive information readily available about a “Paul Deaton” specifically tied to Johnson County, Iowa, several mentions suggest he is a politically active individual within the Democratic party there.
Here’s what the search results indicate:
Active in Johnson County Democrats: Paul Deaton is identified as a “lifelong Democrat living in Johnson County” and a “Democratic activist.” He was even inducted into the Johnson County Democratic Party’s Hall of Fame in 2025. This indicates a long-standing and significant involvement in local Democratic politics.
Political Commentary and Blogging: He is an author at “Bleeding Heartland,” a progressive Iowa politics blog, and also contributes to “Blog for Iowa” and his own website, “Journey Home.” His writings cover a range of political and social issues in Iowa and beyond. Recent topics include reflections on Armistice Day, analysis of Iowa politics, and book reviews.
Early Political Involvement: His first political work was reportedly for Lyndon Johnson’s presidential campaign, suggesting a long history of engagement in Democratic politics.
Views on Policy and Politics: Based on his writings, Deaton appears to hold progressive views. He has discussed topics such as water quality in Iowa, the challenges facing the Iowa Democratic Party, and the importance of political engagement. He seems to prioritize policy alongside political strategy.
Local Connections: He has been involved in local events, such as Armistice Day observances in Iowa City, and has connections with other local figures involved in politics and community initiatives. For example, he mentioned meeting Maureen McCue when they were both on the Johnson County Board of Health in 2006.
In summary, Paul Deaton is a long-time Democratic activist and commentator based in Johnson County, Iowa, with a history of involvement in local and state-level politics and a progressive viewpoint reflected in his writings. (Results of a Gemini query, May 3, 2025).
Now ChatGPT:
Paul Deaton is a prominent figure in Johnson County, Iowa, known for his extensive involvement in journalism, activism, and local politics.
Background and Community Involvement
Originally from Davenport, Iowa, Deaton moved to Johnson County for college and has resided there for over 25 years, living in Iowa City, North Liberty, and currently in Swisher . He is a lifelong Democrat, with his political engagement dating back to the Lyndon Johnson presidential campaign.
Deaton has served on the Johnson County Food Policy Council from 2016 to 2020 and was a founding member of the Iowa chapter of Veterans for Peace . He has also been active in organizing political events, such as candidate meet-ups in Solon.
Writing and Journalism
As a journalist and commentator, Deaton contributes to various publications, including Blog for Iowa , Bleeding Heartland , and The Gazette. His writings often focus on political analysis, book reviews, and social issues, reflecting his commitment to progressive causes.
Advocacy and Public Engagement
Deaton is actively involved in advocacy, particularly concerning peace and social justice. He co-founded the Iowa chapter of Veterans for Peace and has participated in events calling for humanitarian aid and ceasefires in conflict zones. Additionally, he engages in local issues, such as advocating for library funding in Solon, Iowa.
Through his multifaceted roles, Paul Deaton continues to influence and contribute to the civic and political landscape of Johnson County, Iowa. (Results of a ChatGPT query, May 3, 2025).
Journey Home 
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