MurphyA/hacker-news huggingface dataset:
Show HN: Nano Banana Games – AI Image Playground for Creative Experimentation
by colin50 | 2025-08-29 14:37:13+00:00
Hi HN,

I've been working on Nano Banana Games, an AI image playground that transforms image editing from a technical chore into a creative adventure. The response from early users has been amazing.

What makes it different?

Most AI image tools focus on single transformations. Nano Banana Games treats image editing as exploration and play:

- Pose & Action Generator - Transform static images into dynamic characters with custom poses and action scenes - Face Swap Adventures - Experiment with different looks, virtual try-ons, and character swapping - Background Magic Studio - Transport subjects to new worlds with AI-powered environment changes - Image Enhancement Lab - Restore old photos, add colorization, and remove objects seamlessly

Key features:

- No experience needed - just curiosity and creativity - Professional-quality results up to 4K resolution (PNG, JPG, WebP) - 100% original creations with full commercial rights - Multi-format image support with drag-and-drop simplicity - Real-time experiment tracking and gallery organization - Free tier with basic playground access

Technical approach:

Instead of treating image editing as isolated operations, we built a unified AI playground where multiple transformations work together. Users can combine pose generation, face swaps, background changes, and enhancement tools in a single creative session.

The breakthrough is making AI image generation feel like play rather than work - every interaction teaches users something new about what's possible with AI creativity.

Use cases we've discovered:

- Social media managers creating viral content and engaging visuals - Game artists experimenting with character designs and concept art - Content creators developing unique avatars and storytelling elements - Educators bringing historical photos to life for immersive learning

It's completely free to start experimenting, with subscription plans for unlimited creativity and premium features.

We've had 1000+ creative explorers join the playground, with users reporting they spend 3x longer creating because the process became genuinely fun.

Would love your thoughts on making AI tools more playful and accessible! Happy to answer questions about our approach to gamifying creative AI.

Try the playground here: [https://nanobanana.games/]
by jqpabc123 | 2025-08-29 14:37:19+00:00
The obvious problem with FSD is the fact that it isn't FSD. It is now FSD Supervised --- which is an oxymoron --- kinda like jumbo shrimp.

The less obvious problem with this sort of marketing is that it lulls some drivers into a false sense of complacency.

If you actually do the active monitoring that Tesla says is required for FSD, it takes nearly as much attention and effort as driving.

So why pay extra for something that mainly temps you into risky behavior?

A problem for Tesla and Musk is that this sort of gamesmanship can lead to a loss of credibility --- as this survey showed.
by freejazz | 2025-08-29 14:37:31+00:00
It's a constant theme with these internet companies. Oh Facebook is too big to police child predation on their platform? Am I supposed to be sorry about that? Whose fault could it be besides Facebook? They built it, the people came. Imagine running a Toys 'r' Us and telling parents that its not the store's fault that child predators loom in every corner... the notion that these business should not be held liable because of the principle that it would prevent them from scaling is an abomination on society.
by toss1 | 2025-08-29 14:37:38+00:00
The big tech companies are now becoming archetypal evil — directly analogous with the ancient stories of 'deals with the devil'.

The devil cannot take your soul, but if he can get you to agree to a deal... well... good luck with that.

Here, the devil gets you to agree to some nice beneficial feature like "camera sharing suggestions ... for personalized creative ideas, like travel highlights and collages" or "cloud processing" for whatever benefit. AAaand you do, and there goes all your private photos. And the devil can rightly claim "but this is a mere contract dispute and the user agreed to all of this".

The ancient tales were supposed to be warnings, not How-To guides.

And of course now, these modern devils are just flipping the "Agree" button under the software all without your actual consent.

I do not let ANY Meta property or software run on any of my devices. If only everyone did the same.
by hombre_fatal | 2025-08-29 14:37:55+00:00
No, they (and I) want it to work like the web browser file upload component where you don't need to grant permission ahead of time because it's nonsensical.

Imagine if every time you wanted to upload a file online, you first had to allow the one website to access that image first in one menu before you could select the image in the normal file upload menu. That's the UX they're complaining about.
by shepardrtc | 2025-08-29 14:38:18+00:00
A few notes:

- Sig has known about it for years[1]

- A company recently filed a patent for a fix[2] and they offered Sig the rights to it before filing, but Sig refused.

- The Air Force has cleared the 320 for use[3]. In my pessimistic opinion, they probably determined the cost to procure new weapons would exceed the cost to replace lost airmen.

[1] https://smokinggun.org/court-records-reveal-sig-sauer-knew-o...

[2] https://www.wearethemighty.com/military-news/patent-says-the...

[3] https://www.military.com/daily-news/2025/08/25/m18s-cleared-...
by giancarlostoro | 2025-08-29 14:38:41+00:00
In a perfect world where developers are omnipresent and all knowing sure? This isn't a perfect world. Heck, how do you account for the developer who coded it leaving the company, and now that code has been untouched for half a decade if not more, because nothing is seemingly wrong with the code, what then? Who realizes it needs to be changed? Nobody. The number of obscure bugs I find in legacy code that stump even the most experienced maintainers never ends.
by ljosifov | 2025-08-29 14:38:44+00:00
Excellent. What were they waiting for up to now?? I thought they already trained on my data. I assume they train, even hope that they train, even when they say they don't. People that want to be data privacy maximalists - fine, don't use their data. But there are people out there (myself) that are on the opposite end of the spectrum, and we are mostly ignored by the companies. Companies just assume people only ever want to deny them their data.

It annoys me greatly, that I have no tick box on Google to tell them "go and adapt models I use on my Gmail, Photos, Maps etc." I don't want Google to ever be mistaken where I live - I have told them 100 times already.

This idea that "no one wants to share their data" is just assumed, and permeates everything. Like soft-ball interviews that a popular science communicator did with DeepMind folks working in medicine: every question was prefixed by litany of caveats that were all about 1) assumed aversion of people to sharing their data 2) horrors and disasters that are to befall us should we share the data. I have not suffered any horrors. I'm not aware of any major disasters. I'm aware of major advances in medicine in my lifetime. Ultimately the process does involve controlled data collection and experimentation. Looks a good deal to me tbh. I go out of my way to tick all the NHS boxes too, to "use my data as you see fit". It's an uphill struggle. The defaults are always "deny everything". Tick boxes never go away, there is no master checkbox "use any and all of my data and never ask me again" to tick.
by echelon | 2025-08-29 14:39:15+00:00
AI coding tools are amazing and if you don't use them, that's fine. But lots of people, myself included, are finding tremendous utility in these models.

I'm getting 30-50% larger code changes in per day now. Yesterday I plumbed six slightly mechanical, but still major changes through our schema, several microservice layers, API client libraries, and client code. I wrote down the change sites ahead of time to track progress: 54. All requiring individual business logic. This would have been tedious without tab complete.

And that's not the only thing I did yesterday.

I wouldn't trust these tools with non-developers, but in our hands they're an exoskeleton. I like them like I like my vim movements.

A similar analogy can be made for the AI graphics design and editing models. They're extremely good time saving tools, but they still require a human that knows what they're doing to pilot them.
by endymion-light | 2025-08-29 14:39:16+00:00
As someone that recently failed a tech interview at the last stage after a long search, the only way to move forward is to just keep moving. Given your motivation and passion, there's definitely another place for you.

Also important to note, just because you like the product doesn't mean you'll love the team, anthropic is a well paying job but it's also just a job.
by viridian | 2025-08-29 14:39:38+00:00
While I wouldn't prescribe someone to sit down and think about why they tie the two together, you are probably right that it's reflective of their greater worldview(s). I wouldn't prescribe it because odds are, they already have reflected on it quite a bit. One thing I've really taken away recently reading about the historic lives of ordinary immigrants to early America, is that modern peoples are incredibly good at constantly reflecting and adapting their models of self, and of belief. I believe this constant reshaping is probably the main reason echo chambers are so effective, and dangerous.

Re: the irony, I don't see it, but I'm happy to hear your explanation of it. For what it's worth, my own interpretation of my words isn't passive aggressive, it's (charitably) pretty direct, or even (less charitably) plain old aggressive-aggressive.
by evai | 2025-08-29 14:39:45+00:00
We analysed the online hype around DeepSeek and found something unusual: thousands of fake accounts were amplifying the narrative of mass adoption.

This wasn’t just random spam — the accounts showed patterns typical of coordinated bot networks (synchronous posting, recycled avatars, and disproportionate engagement).

The result: investors and the market briefly reacted to a level of “traction” that wasn’t real.

I’m curious how others here think about this:

How can we distinguish genuine user adoption from manufactured buzz in an LLM/AI market that is moving this fast?

What tools or heuristics do you use to check the authenticity of online signals?

(Research details and case breakdown in the post.)
by einpoklum | 2025-08-29 14:40:08+00:00
Google mines the bejeezus out of your email, and uses it to any number of ends, including manipulating you into buying things, and also passing your correspondence on to the US government. While this is not the same as outright making your emails universally searchable - training Claude on your emails is also not the same as posting their contents.

And - this behavior of Google's has not been penalized, I'm afraid.
by furyofantares | 2025-08-29 14:40:42+00:00
Fast can buy you a little quality by getting more inference on the same task.

I use Opus 4.1 exclusively in Claude Code but then I also use zen-mcp server to get both gpt5 and gemini-2.5-pro to review the code and then Opus 4.1 responds. I will usually have eyeballed the code somewhere in the middle here but I'm not fully reviewing until this whole dance is done.

I mean, I obviously agree with you in that I've chosen the slowest models available at every turn here, but my point is I would be very excited if they also got faster because I am using a lot of extra inference to buy more quality before I'm touching the code myself.
by A_D_E_P_T | 2025-08-29 14:41:25+00:00
I disagree. The comment below the video actually gets it right, emphasis added:

> "The shear amount of movement in the trigger it takes on the Glock PLUS the fact the trigger safety has to depressed lends it self to make this scenario extremely extremely unlikely to happen from jostling. Which is the exact opposite for the 320. Tiny amount of movement needed, way more slop in the gun as a whole and no trigger safety all lends itself to be way more likely to happen from jostling. Thats the argument."
by slipperydippery | 2025-08-29 14:41:48+00:00
In his first campaign especially, he talked exactly like a normal Republican voter. They say shit like "why don't they just build a wall?" (or they might suggest planting minefields along the border, super-common suggestion from R voters) and hate trade with China (so does a good chunk of the left... neoliberalism was never popular, "both sides" of politicians just agreed on it, until Trump) and want to lock up all the democrats and simply round up and deport all "the illegals" by any means necessary. His stuff he's doing with the military, sending them in to cities? They love that shit, they've wanted it to happen for years, they don't understand the legality, that they have hilariously wrong understandings of what cities are like due to propaganda and their own lack of experience with them, any of that, they just want "scumbags" beat up and thrown in vans. Truly, talk to them, I'm not exaggerating.

That's how he won, he exploited the gap between Republican voters and Republican politicians. As soon as I heard him sounding exactly like your average R voter chattin' at a diner, I knew he was dangerous and we were in for a wild ride.
by giancarlostoro | 2025-08-29 14:41:52+00:00
I'm more curious if its based on Grok 3 or what, I used to get reasonable answers from Grok 3. If that's the case, the trick that works for Grok and basically any model out there is to ask for things in order and piecemeal, not all at once. Some models will be decent at the 'all at once' approach, but when me and others have asked it in steps it gave us much better output. I'm not yet sure how I feel about Grok 4, have not really been impressed by it.
by ljosifov | 2025-08-29 14:41:52+00:00
Excellent. What were they waiting for up to now?? I thought they already trained on my data. I assume they train, even hope that they train, even when they say they don't. People that want to be data privacy maximalists - fine, don't use their data. But there are people out there (myself) that are on the opposite end of the spectrum, and we are mostly ignored by the companies. Companies just assume people only ever want to deny them their data.

It annoys me greatly, that I have no tick box on Google to tell them "go and adapt models I use on my Gmail, Photos, Maps etc." I don't want Google to ever be mistaken where I live - I have told them 100 times already.

This idea that "no one wants to share their data" is just assumed, and permeates everything. Like soft-ball interviews that a popular science communicator did with DeepMind folks working in medicine: every question was prefixed by litany of caveats that were all about 1) assumed aversion of people to sharing their data 2) horrors and disasters that are to befall us should we share the data. I have not suffered any horrors. I'm not aware of any major disasters. I'm aware of major advances in medicine in my lifetime. Ultimately the process does involve controlled data collection and experimentation. Looks a good deal to me tbh. I go out of my way to tick all the NHS boxes too, to "use my data as you see fit". It's an uphill struggle. The defaults are always "deny everything". Tick boxes never go away, there is no master checkbox "use any and all of my data and never ask me again" to tick.
by paezand | 2025-08-29 14:41:54+00:00
Early phase repo of a golang http server companion wrapper of gemini-cli to run on a browser. Some features: 1. Interact with GCLI running in your environment but from the browser. 2. Create multiple conversations and track them much easier 3. Integrate it into other tools so that you can trigger your GCLI from other places (think chat, email, etc) 4. Run GCLI on schedules or on the background for long-running tasks
by Demiurge | 2025-08-29 14:42:18+00:00
I've actually seem really good outputs from the regular Grok 4. The issue seemed to be that it didn't explain anything and just made some changes, which like, I said, were pretty good. I never wanted a faster version, I just wanted a bit more feedback and explanations for suggested changes.

I recently found it much more valuable, and why I am now preferring GPT-5 over Sonnet 4, is that if I start asking it to give me different architectural choices, its really quite good at summarizing trade-offs and and offering step-by-step navigation towards problem solving. I am liking this process a lot more than trying to "one shot" or getting tons of code completely rewritten, thats unrelated to what I am really asking for. This seems to be a really bad problem with Opus 4.1 Thinking or even Sonnet Thinking. I don't think it's accurate, to rate models on "one-shoting" a problem. Rate it on, how easy it is to work with, as an assistant.
by multjoy | 2025-08-29 14:42:19+00:00
Lol, if you like.

Individually, the people of the UK are generally kind, thoughtful and considerate. As a mob, they're an absolute nightmare especially when wankers like Fox and Corbyn get involved.

Anyone who thinks otherwise has never had to tell people 'no'.

>Lastly, it's funny to hear you admit this pandemic wasn't lethal because people don't actually comply the way you want, which means that the actions were theater and unneeded

This pandemic was lethal, but it wasn't bubonic plague lethal. When we get something that cuts like a knife through hot butter, you'll soon be holed up inside screaming at strangers through the letterbox.
by vonneumannstan | 2025-08-29 14:42:39+00:00
>Passing in docs usually helps, but I've had some incredibly aggravating experiences where a model just absolutely cannot accept their "mental mode" is incorrect and that they need to forget the tens of thousands of lines of out of date example code they've ingested during training. IMO it's an under-discussed aspect of the current effectiveness of LLM development thanks to the training arms race.

I think you overestimate the amount of code turnover in 6-12 months...
by dghlsakjg | 2025-08-29 14:42:39+00:00
Mostly incorrect. At least for the US.

If your car has an EDR, what data it collects is legislated. There is not a standard interface for retrieving it, but the manufacturer is required to ensure that there is a commercially available tool for data retrieval that any third party can use.

https://www.ecfr.gov/current/title-49/subtitle-B/chapter-V/p...
by whatamidoingyo | 2025-08-29 14:43:00+00:00
> That's the point at which I would have stopped the process personally.

Why is that? I love take-home assignments. At least, if it's just an initial get-to-know-you interview, and then the assignment. What I utterly despise is the get-to-know-you interview, then a tech interview with the entire dev team, then a take-home, then a meeting with the CTO.

I will never, ever, ever go through with any job that has an interview process like this again. I always ask up-front what their interview process is like.
by 0x6c6f6c | 2025-08-29 14:43:22+00:00
These agents often generate randomly named files and dump them anywhere. You can end up with dozens of files added if you let it run on any problem it tries to create one-off "test / reproduction" cases. It hasn't always cleaned them up so a "git add all" approach can bring in junk, and the patterns for names aren't consistent. In fact they're often called stuff like *-test.js which looks like it could be a source OR test file.
by AlotOfReading | 2025-08-29 14:43:28+00:00
Tesla's official, wildly misleading position is that FSD is a driver assist system that should be treated no different than autopilot, not an autonomous system like Waymo. They've stated it in court, in regulatory filings, and if you open the owner's manual you'll find a bolded statement that FSD doesn't make the vehicle autonomous.

Everything else that you might be reasonably misled by? Puffery and the official position is that you really should have known better.
by Razengan | 2025-08-29 14:43:39+00:00
Apple should also stop letting apps know that we have given them a limited photos or contacts list:

Telegram refuses to work if you provide it with just 1 dummy contact.

Some other clingy apps also get pouty and demand full roll access each time you try to use a photo.

What's even worse: For years, Apple has also allowed many apps including Facebook/TikTok/Tinder to use the "iCloud Keychain" API to store invisible information that tracks you across app reinstalls and EVEN DEVICE RESETS, because it's stored in your iCloud account, and there's no way for you to see what is stored or manually delete it without going through FB/etc and no way to be sure that they are indeed deleting everything.

I've ranted about that a few times but people just shrug it off like wtf (I imagine other people who abuse these APIs want to keep it buried)
Ask HN: Should we stop worrying that AI will replace developer jobs?
by _pdp_ | 2025-08-29 14:43:54+00:00
Longer title: Should we stop worrying that AI will replace developer jobs and instead start thinking how we are going to hire more developers?

Hi folks,

I can't be the only one noticing that AI coding agents are making us work more, not less.

Here's the math that's been bugging me. If a developer used to write 100 lines of code per day (illustrative) but now AI writes 90% of the code, so you'd think that the load will go down to 10 lines, right? What I find is that the scope has exploded. Developers are now able to crank 1000 lines per day total and while you may say that AI writes 90% of them we are still writing 100 lines of the hard stuff.

Every feature that seemed too expensive before is suddenly doable. Every prototype becomes production system. The bottleneck shifted from typing to thinking, but the thinking load just got 10x bigger. We have also single-handedly increased the demand of that 10% chunk which is not as easy to scale as machines. Am I the only one noticing this?
by imiric | 2025-08-29 14:44:05+00:00
Yeah, this is hardly surprising.

To AI companies, data is even more of a gold mine than to adtech companies. It is existentially important.

The truly evil behavior will emerge at the intersection of these two industries. I'm sure Google and Facebook are already using data from one to power the other, even if it's currently behind closed doors. I can hardly wait for the use cases these geniuses will think of once this is publicly acceptable and in widespread use by all companies.
by kashunstva | 2025-08-29 14:44:27+00:00
I have no idea to what extent Anthropic or other employers delve into prospective candidates’ blogs; but this strikes me as too much self-disclosure for one’s own good. We all have idiosyncrasies; but calling oneself weird on a now widely published blog article seems like it risks defeating the goal of making oneself an ideal candidate for many job opportunities. Look, many of my own eccentricities have been (net) valuable to be professionally and personally, but it was probably better they be revealed “organically” rather than through a public act of self-disclosure.
by neonspark | 2025-08-29 14:44:32+00:00
I think what you say is true, and I think that this is exactly true for humans as well. There is no known way to completely eliminate unintentional bullshit coming from a human’s mouth. We have many techniques for reducing it, including critical thinking, but we are all susceptible to it and I imagine we do it many times a day without too much concern.

We need to make these models much much better, but it’s going to be quite difficult to reduce the levels to even human levels. And the BS will always be there with us. I suppose BS is the natural side effect of any complex system, artificial or biological, that tries to navigate the problem space of reality and speak on it. These systems, sometimes called “minds”, are going to produce things that sound right but just are not true.