It's almost like magic!
What strikes me is how the guy in the video is saying things like "it knows", "it understands" in relation to the AI tool. Fact of the matter is that 'it' doesn't know sh....anything! It has mathematically extrapolated something on the basis of similar patterns in a massive dataset. It's no less amazing, mind you. But it's a bit like being amazed at Nature in the knowledge that it evolved that way as opposed to some deity having conjured it up. Either approach may work fine for you as long as you keep at a distance - but at some point, a fundamentally wrong view of what's going on will catch up with the end user all the same. We really have to collectively start to wrap our heads around some basic concepts underlying generative AI.
As long as we're moral actors, as long as we love and hate, as long as we have an emotional response to things that happen inside and outside of ourselves - as long as our minds and bodies are intricately connected: yes, we can with certainty say we're more than something that appears to be sentient only if we don't look closely enough.Can we with certainty say we are more than this ourselves?
We understand the building blocks pretty well. We understand pretty well how we configure them and how this gives rise to complex patterns.what is happening inside these massive systems in many (most?) cases is now an unknown, a black box.
I'm not denying there's an 'it' - there evidently is. We can touch it. It's an array of silicon chips. However, the attribution of sentience to this 'it' is haphazard.
As long as we're moral actors, as long as we love and hate, as long as we have an emotional response to things that happen inside and outside of ourselves - as long as our minds and bodies are intricately connected: yes, we can with certainty say we're more than something that appears to be sentient only if we don't look closely enough.
If it walks like a duck, quacks like a duck...it's not necessarily a duck. It can be an object that just walks and quacks like a duck, and nothing more, without feeling protective of its little ducklings, without having the biological urge to procreate, without knowing hunger or fear, etc.
Besides, this bit isn't quite true:
We understand the building blocks pretty well. We understand pretty well how we configure them and how this gives rise to complex patterns.
When it comes to biological intelligence such as our own, we don't understand sh**, really. We've made some models and we used those models as inspiration for the present generation of AI. The fact that AI comes up with interesting stuff doesn't make it intelligent. I'd call it "AN" rather than "AI" - "artificially nifty". Part of the problem is that through the name we've attributed to it, we have started to project characteristics onto it that it doesn't have.
So far, the 'intelligence' we attribute to AI essentially boils down to the limitations to our own intelligence playing tricks on us. The joke is very much on ourselves. This species will really amuse itself to death one day.
It's too early to claim it has ever come to life.I think it's still too early to call time of death on potential digital consciousness.
Absolutely! It's a similar kind of thinking to "this wing shape was designed to create lift..." - nope, it wasn't. It was a long series of happy little accidents and the net result is something we call a 'wing' and it happens to generate lift pretty efficiently. The cost was that all the less happy accidents were brutally turned into caloric value by the nearest natural enemy. Or how about "the pattern on this caterpillar mimics a poisonous cousin..." Sure. It got up this morning, figured that his toxic neighbor doesn't get quite as many visits from nosy predators, so he got busy with the paintbrush. Happy little accidents.Some of this is reminding me of the confusion that often seems to exist around the concepts of evolution, the "balance of nature" and probably many others.
| App | Key AI Feature | Best For |
| Imagen AI | Personal AI Profile: Learns your unique editing style from past Lightroom catalogs and applies it to new shoots. | Wedding and event photographers handling thousands of images. |
| Adobe Lightroom | Assisted Culling & Generative Remove: Automatically flags blurry/closed-eye shots and uses Firefly to remove complex distractions. | Professionals who need industry-standard asset management + smart tools. |
| Aftershoot | Local AI Culling: High-speed sorting and grouping of similar images that runs entirely on your local hardware. | Photographers concerned about privacy or working without high-speed internet. |
Does anyone have a summary of the current apps available for AI editing of photos? Pros and cons? Etc?
Here's an AI summary from Google Gemini. Doesn't seem very complete. Can others add to it?
Summary of the current apps available for AI editing of photos?
Gemini said
In 2026, AI photo editing has shifted from "experimental" to "essential," focusing on three main categories: Professional Workflow (saving hours on batch edits), Creative Transformation (manipulating reality), and Technical Salvage (fixing "ruined" shots).
1. Professional & High-Volume Workflow
These tools are designed for photographers who need to edit hundreds of photos consistently and quickly.
App Key AI Feature Best For Imagen AI Personal AI Profile: Learns your unique editing style from past Lightroom catalogs and applies it to new shoots. Wedding and event photographers handling thousands of images. Adobe Lightroom Assisted Culling & Generative Remove: Automatically flags blurry/closed-eye shots and uses Firefly to remove complex distractions. Professionals who need industry-standard asset management + smart tools. Aftershoot Local AI Culling: High-speed sorting and grouping of similar images that runs entirely on your local hardware. Photographers concerned about privacy or working without high-speed internet. 2. Creative & Artistic Editing
These apps focus on "magical" transformations—changing the weather, adding light, or swapping backgrounds with one click.
- Luminar Neo: Often cited as the best for enthusiasts.
- Pros: Features like "Light Depth" (3D relighting), "Sky AI," and a new AI Assistant chatbot that suggests edits based on image analysis.
- Cons: Some tools can feel "gimmicky" for purists; lacks deep metadata management.
- Adobe Photoshop: The heavy hitter for generative art.
- Pros: Generative Fill and Expand allow you to add objects or extend canvas seamlessly using text prompts.
- Cons: Steep learning curve; subscription-based.
- Canva Magic Studio: Best for social media.
- Pros: Magic Grab (turns any photo element into a movable asset) and Magic Edit (swap objects via text).
- Cons: Not suitable for high-end RAW processing or professional print work.
3. Technical Enhancement & Repair
These apps use "Neural Networks" to rebuild data that was never there or fix technical errors.
- Topaz Photo AI: The leader in "salvage" work.
- Pros: Incredible Denoise and Upscale (up to 600%) capabilities. The "Autopilot" feature automatically detects if a photo is blurry or noisy and fixes it.
- Cons: Can create a "plasticky" look if overused; relatively high one-time cost.
- DxO PhotoLab: Famous for DeepPRIME XD2, which offers the cleanest noise reduction for high-ISO shots without losing lens-specific sharpness.
Summary Recommendation
- If you want to edit 1,000 photos in 10 minutes: Go with Imagen AI.
- If you want to replace a boring sky or add digital fog: Go with Luminar Neo.
- If you have a blurry, old family photo to save: Go with Topaz Photo AI.
- If you need a "do everything" tool: Stick with the Adobe Creative Cloud (Lightroom + Photoshop).
was this Gemini "Fast" or Gemini "Pro"? You'll get a better answer in Pro mode, and also the prompt can influence the result quite a lot. For example an "exhaustive list" or "top 25 ranked by market share, capability, and reviews" etc
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