News/Views
Assist versus Generate
I keep getting asked the AI question: "do I use AI?" Or sometimes "do I think AI will render photography meaningless?"
My answers are "yes" and "no" respectively. And in those answers lies the headline: I sometimes use AI tools to assist in my conversion and processing, but I'm not into generating completely new scenes. (There's also a "middle area" between the two, such as generative expand, where you use an AI tool to mimic an area to extend a scene, which isn't so much making up something new as using what's known to project further.)
But let's examine that second question a bit. The implication behind it is that our Insta and Tok doom scrolls will become full of deep fake landscapes, selfies, portraits, and more. That instead of capturing the news—e.g. photojournalism and broadcast journalism—we'll be illustrating someone's opinion of the news. Real Estate listings would be 100% fake. Food ads will go from their current highly manipulated to totally fake. You wouldn't need to buy new fashion from a clothing store, as you could just swipe it in on your selfies from the Generative Fashion store. Heck, you could probably skin your Kia with some sort of system that allows it to chameleon into a Porsche.
That's not a real world. That's living in a fantasy world. As much as Hollywood seems to want to have us live in fantasy worlds two hours at a time, I don't believe such a universe is livable 24/7. Way back in 1978 I wrote a screenplay called Labor Day where I envisioned such a existence that was so reversed from reality, that Labor Day was celebrated by actually doing some (unnecessary) labor. The realm the characters lived in, however, was antiseptic and monolithic because ultimately, you can't change the fantasy on everyone every day. That would not only be exhausting, but counterproductive.
I'll remind everyone that painting went through this same crisis (caution: I'm going to extremely oversimplify). Cave art slowly evolved from absolutely crude, symbolic, and mostly unrecognizable to us to something that we do recognize, though still crude. Over time the notion of realism became mainstream. Then in the 1800's we started to see the rapid creative branching that led to impressionism, cubism, and all the other isms. Realism, though, is still clearly present in painting, though (e.g. social realism, new realism, and particularly photorealism).
Ultimately, the visual arts are all about "made you look." Preferably: "made you look, pause, and study." There's no doubt that Generative Photography will make you look, especially as it gets more and more extreme. However, Real Photography done well and right has always been in the "made you look, pause, and study" category, particularly because it relates a story/place/event that existed and is meaningful, not a fantasy that will never exist. Thus, I believe we'll continue to see high practitioner photographers who understand this and continue to do the Sontag thing ("stand on the shoulders of those that came before...").
And those photographers very well may use AI assists to try to ferret out things that mask the underlying reality, such as noise (and particularly color noise). They'll use AI-based autofocusing for times when they can't manually follow a subject fast enough. They may even use generative remove to take something out of a scene as they would have done had they had the ability (e.g. that white RV parked way out there in your otherwise natural scene). I'm all for those helpful uses of AI.
But just typing words into a browser to get back an fantasy image? No, not for me, and not a photograph.
Behinder Than Before
Ah, the best laid plans...
I'm still up to my armpits in book revisions, partly because Nikon has been so active in firmware updates lately, but also because the Complete Guides are incredibly complex books to dial in perfectly, so my two latest ones still need a little tender love. Meanwhile, Nikon continues to introduce incredibly small differences with firmware between cameras, which means I have to read, test, and annotate carefully.
Unfortunately, on my recent trip back from California, I came home and finally came down with COVID (yes, my first time with the disease). That put me even more behind. Even as I recovered, I wasn't trusting my soft matter to catch all those small bits in the book revisions, so I worked on other things that didn't take as much brain concentration. However, starting this week I should be back full time on the book updates.
Thus, I might not hit my original goal of getting these revisions out by the end of September. I'm working on nine book updates at the moment, so please be patient. The ZR introduction also postponed the introduction of the next book in my Mastering series.
And just a warning for the future: all Nikon's firmware changes have had me updating books more often than I originally anticipated. Every time I introduce a new update to a book, it costs me email and bandwidth charges. I'm not proposing to change my Z System Complete Guides or Mastering book pricing any time in the near future, but one reason why I'm pushing to get these updates done is that I don't want to be doing as many small incremental updates in the future.
Ironically, the film and DSLR book prices may have to change some, though, because it seems that quite a few of you keep asking for new downloads because you lost the file, had a computer crash, your dog ate it, etc. I never adjusted my pricing for that.
The Serious Compact View
As I continue to decipher and analyze the 2024 year end data for cameras, both from company financials as well as other sources such as Nikkei, one aspect of the numbers that doesn’t get talked about much is compact cameras.
CIPA reports that 1,880,414 compact camera units—cameras with integrated lens—were shipped in 2024. Doing some calculations on all the Nikkei, TSR, and company numbers, I come up with:
- Canon — 430,000 units
- Fujifilm — 130,000+ units, mostly X100IImodels
- OMDS — 30,000 units, probably all OM Tough TG-7 models
- Ricoh — 60,000 units, probably all GR3 models
- Sony — 470,000 units
Note that an OM Tough TG-7 is US$550, a Ricoh GR3 is US$1130, and the Fujifilm X100VI is US$1800 (Fujifilm has already tariff adjusted their pricing, OMDS and Ricoh are about to do so). These are prices that rival lower-end (typically APS-C) mirrorless cameras, which seems to indicate to me that there’s still reasonable demand for the shirt-to-jacket pocket camera. Canon has restored some of their PowerShot line, though the most easily available one in the US is the V1 model, which is more video oriented (a new pocket Elph is rumored to come soon). Nikon still seems to sell a few P950 and P1100 superzooms. Panasonic’s ZS99 and FZ80D cameras also seem to be selling. Sony’s RX line was just given a high-end refresh in the RXRIII.
The question I have is this: are any of these options the “right” design for a serious photographer?
Maybe?
The just announced (but more expensive at US$1500) Ricoh GR4 seems pretty good in terms of performance and function, though it still looks a little too old-school compact with it’s controls. The Fujifilm X100VI is my current choice, though it has a lot of overkill for my needs and I almost never use the fancy optical side of the viewfinder. Since the US$1500-US$1800 price seems to be where “highly functional, strong results, but still pocketable” seems to live now, is there a better camera definition that fits the serioius user space?
Probably.
The “base” that feels right to me is 26mp APS-C, large articulating OLED Rear Display (brighter in daylight situations), and 24-50mm (equivalent) f/2.8 zoom (a short zoom answers the 28/35 and lens adapter questions). We can argue about whether an EVF and flash is required, and what storage is used. But state-of-the-art subject detect focus and as much user control/customization as possible need to be present, too. Speaking of which: buttons you can find and distinguish with your fingertips, even with thin gloves on are also required. I’m not going to do pro-level video with this product, but it should produce good looking 4K/30 when needed.
There’s clearly a 50-100k annual volume that would be obtained by such a product in the price range I note. That’s a very viable product. So why haven’t Canon, Nikon, or Panasonic produced one?
Ironically, the 2013 Nikon Coolpix A (16mp APS-C) these days sells for US$500-600 (before any tariffs if it’s coming in from overseas) in good condition, and is still a highly viable compact camera. If Nikon simply stuck their current 20mp sensor and EXPEED6 chip in and changed nothing else, a Coolpix A+ would be a best seller at US$1200, maybe more.
Here We Go Again
Topaz Labs last week sent an email to many of us who have owned their products. Here’s the email:
Thanks for being a founding customer.
On September 16, we’re launching Topaz Studio, a subscription collection of all our apps. Studio will include 7 products, over 100 image/video AI models, unlimited cloud image processing, and local processing.
Because you own an active upgrade license to Photo Al, you get access to the new Topaz Photo, new pro-only models, and unlimited cloud rendering for images at no extra cost. On Sept 16:
- Your Photo AI perpetual license remains yours forever.
- With an active upgrade license, you’ll get access to:
- Topaz Photo, including the upcoming Wonder AI model normally for Pro only.
- Unlimited cloud rendering for images (non-batch).
- Grandfathered auto-renewal price as long as your plan is active.
- Founding customers with 2+ auto-renewing upgrade licenses get access to the whole Studio collection.
By keeping your existing upgrade license, you get more features at half the cost for new customers after Sept 16. We’ll also have a special gift for you before the launch - no action required.
The move to subscription
We believe in building AI tools that enhance rather than replace your workflow - AI models that run locally, preserve creative intent, and produce high-res production-grade results.
In service of that, in 2025 we’ve released dozens of new models like Astra, Bloom, Recover, and Starlight. Many of these were technical breakthroughs for image/video enhancement that haven’t been replicated anywhere else.
But each new release came with an asterisk: some customers benefited and others didn’t, depending on the individual product purchased. This didn’t sit right - we’d much rather that more people have access to all our models. Launching Topaz Studio gives more people access to our technology and keeps us focused on driving faster improvements.
We wanted founding customers to receive the best possible outcome from the change. The September 16 release will include some of our strongest new AI models yet. Thank you so much for using our products, and we’ll be back in touch in two weeks with access to your new features.
In effect, Topaz is going subscription (again). This time it seems to be an all-or-virtually-nothing approach on their part.
As many of you may remember I stopped recommending Topaz Sharpen AI and Denoise AI (no longer available for new purchase), and don’t recommend their “replacement” Photo AI, mostly because it isn’t as controllable or ultimately as good as the standalone products were. The Sharpen AI and Denoise AI purchases got that same “perpetual license”. To Topaz Labs credit, I can still download installers for them, however updates to Photoshop over time have exposed issues with them. Ultimately, Adobe will render those two products unusable, so “perpetual,” means “until the operating system or parent software breaks it.”
Photo AI also has another issue these days: it’s effectively AI Raw Conversion, meaning that you’re now fully committed to AI images, even though they started as camera raw captures. Some people will like that, as they don’t have the knowledge or time to do their own raw conversion, but I wonder when the photo contests will start banning such images? (This is the same thing we had to decide in editorial photo use in the 1990’s, which most magazines and newspapers solved by using words “photo by,” “photo illustration by,” and so on. Only the “photo by” were done traditionally with minimal developing manipulation. So now we have “manual conversion” and “AI conversion”.)
In my view, Topaz Labs has transformed itself from a tool maker for photographers into an AI tool creator for designers and Hollywood. That’s fine, but it isn’t me. I might have been a “founding customer” (literally), but I’m likely to become a “former customer."
Hey Camera
Way back in the 1980’s in Silicon Valley I began regularly hearing the words “voice UI.” In other words, control a device using voice instead of buttons or keys, let alone a mouse or as some of us were working on at the time, touch.
I was a “voice control” nay vote. The reason was simple: voice control really only works in private situations. I’ll use two simple examples, both travel based:
- You’re driving your car and say “change radio channel.”
- You’re on a plane and want to change what’s shown on the seatback display so say “show latest movies.”
You already know what I’m going to write: #1 works because the odds are that you’re the only one in your car. #2 doesn’t work because the person in the seat next to you just said “show latest TV shows.” (Don’t laugh: I was just on a flight where four different people around me tried to pair their headphones to their seatback screen but that showed up on my iPad mini as a pair request, which I denied ;~).
So how is this relevant to cameras?
There’s a company, Camera Intelligence, that just got another big round of funding and who's building an m4/3 camera that supports AI-interpreted voice commands. Indeed, that seems to be the only “innovation” involved (at least the only one they’ve talked about in the press releases I’ve seen). Their specific video example has someone at a tourist destination saying: “hey, could you record a 30-second video” and “great, can you now make the colors more vibrant?” First problem, there’s a lag that’s significantly longer than a button press involved in responding to both things. Second problem, if not used in a private situation, their camera would probably also respond to me standing next to them saying “stop” to my out of control child. Oopsie.
Of course, you might imagine that AI could learn to distinguish your voice from others. Still, can you imagine standing in the room at the Louvre with the Mona Lisa in it where everyone is talking to their camera or phone?
I’m not saying voice control shouldn’t be attempted. It’s been shown to be a great way to help the disabled stay current with technology, for instance. The Mac I’m writing this on can be pretty much completely controlled by voice, right down to moving the virtual mouse. However, voice still has that privacy/public issue. A disabled person may already be isolated, so privacy isn’t an issue for some, but “open access” to voice control is something that can be quite problematic.
We already have the problem of people talking incessantly on their smartphones in public places. On my recent plane trip I heard one end of fourteen conversations while in the waiting area, the boarding line, and even in my seat waiting for the plane to take off. Clearly we can’t have voice control everything as well as being the only communication channel used, otherwise we’re all going to be in a constant din of voices. Indeed, that will trigger another disability category, as there is already a group of people who have hearing issues in situations where everyone is speaking; we’d just be making that a problem more common for them by using voice for everything. (Those folk, by the way, hate and avoid Apple stores, because all the reflective surfaces in those stores just make for a constant voice din that interferes with their ability to hear a one-on-one conversation.)
When I published my “Hey Nikki” April Fool’s joke last year, I was surprised at how many people went all the way to the buying page (thousands!). Apparently quite a few folk think voice control is the answer to something. That “something”, by the way, is almost always "complexity.” The proper way to address complexity comes from better design, and that may or may not include some voice control. For devices used in public, I don’t see voice as the best answer to controlling a device, however.
I wish Camera Intelligence luck. But I think they’ll need something other than “voice control” to actually make a camera that’s viable in the market.