tezza

Hitser is an awesome game... cannot recommend it highly enough.

Suitable for all ages... and if you're an expert, it's still tough

Which came first?:

Supertramp - Give A Little Bit

.

The Trammps - Disco Inferno

For comparison here is the OpenAI Astra 6.

Astra 6 is significantly better than Google Argon 4 and a lot better than Claude Fable

https://generative-ai.review/2026/10/catchup-openai-astra-6-...

(edited thanks to tekacs)

Put it through my standard benchmark, a six step explainer... yes, in 3D.

Very fast.

Makes mistakes. Corrects the mistakes quickly with direction.

Google Argon 4: https://share.gemini.google/T9r6tr2dDaTE

I didn't have time to make it into a full blog post yet. Here is a previous one.

https://generative-ai.review/2026/07/kimi-k3-rush-test-vs-cl...

Baby can be ALLERGIC to the mother’s breast milk

Baby can have unfixable latching problems (as commented elsewhere)

Breasts may not produce enough milk even with pumping

Nipples and Breasts can get infected and seriously endanger the mother

I've done a side by side comparison of the two new models across all quality levels. Versus all the previous models

https://generative-ai.review/2026/09/rush-openai-image-gen-2...

right, off to bed now

Clamiga should be treated immediately with a large dose of Clatari S.T.

Even well meaning bodies like TFL (Transport for London) have cookie warnings that impede the actual access of the website.

Need to look up a bus time? Full screen cookie consent with accept buttons drawn OFF THE SCREEN.

I would add that Brazil (1985) foretold this 41 years ago.

The civil servants are addicted to their personal TV and only pause watching it compulsively when the boss comes around. As soon as the boss is out of sight they resume their fixation.

From memory it is a loop of a cowboy galloping on a horse.

Yes, I see your point.

Your pelican output is thus both in the training set and yet still outside the capability of the model architecture.

And so you are tracking both the capability of the training and also the capability of the querying!

When you receive your first outstanding pelican it will track a gain of capability.

(btw I first mentioned simonw-pelican-into-training-set in May 2025 on twitter.)

My 3D-egyptology-explainer showed a massive uplift for Kimi K3 and this tracks a much improved 3D capability.

Nice qualitative test!

Just like you I am super impressed by Kimi K3.

I do a qualitative benchmark series making 3D explainers and so here's Kimi K3 vs Claude Fable:

https://generative-ai.review/2026/07/kimi-k3-rush-test-vs-cl...

I've put links to the posts on GLM5.2, Opus 4.8, Chat GPT 5.5. I grab video screencaps so you can compare in detail. The full interactive Kimi output is at the bottom of the post if you want a comprehensive 3D play around

well i’ve come across it loads, especially 1/2) during REPL style build outs and 2/2) calling libraries and frameworks you are not yet familiar with.

perl another offender… is it a hash? is it an arrayref? over time you get it right, but by trial and error and looping. json suffers this too, arrays different from strings, different from numbers etc, but opaque until checked and liable to change

Absolutely, the change in quality over time is a great yardstick.

Nice to see you did the quality level comparisons and did three passes.

I've been using that technique myself on my image gen reviews[1] and it also works well in presentations and for personal study.

[1] https://generative-ai.review/2025/12/beast-mode-activated-op...

I've just put GLM 5.2 through my __qualitative__ benchmark. I was quick enough to capture Claude Fable, so now you can compare GLM5.2 vs Claude Fable vs Opus 4.8 vs Chat GPT 5.5

https://generative-ai.review/2026/06/glm5-2-from-z-ai-vs-cla...

I've structured it side-by-side. You can clearly see where the private models excel, and where GLM 5.2 is still really good.

There are benchmarks if you want quantitative results. Mine is qualitative, and clearly billed as such. Comparison and contrast still possible.

check the backlinks[1][2] in the article before you start throwing around accusations. I am not (yet) a person that has advanced notice and access to models.

Fable just got announced and I did a rush out article because people are curious. I released the post mere hours afterwards and it takes time to create the output, slice into videos, make a wordpress article on top of taking my son to basketball training and eating dinner. I’m in London and this was all happening at 1am.

If you check the links my previous articles have all the juicy stuff you are criticising me for not having with little preparation.

How is a side by side direct comparison NOT precise?

[1] first in series from 2025: https://generative-ai.review/2025/05/vibe-coding-my-way-to-e... . This has all the background you are talking about in the Appendix

.

[2] https://generative-ai.review/2026/05/vibe-coding-my-way-to-e... . Second in series 2026 has a side by side table of what changed. This is what is possible with more than a few hours advanced warning.

It is possible to check for improvements. See for yourself:

https://generative-ai.review/2026/06/claude-fable-rush-test-...

As mentioned in another HN thread I've done a qualitative side-by-side measurements of Claude Fable vs Opus 4.8 vs ChatGPT 5.5.

Anyone is able to check the output for themselves and form a judgement.

Large visible improvements for Fable over Opus 4.8 and ChatGPT 5.5.

I recently did the same to show the progress from Opus 3.4/ChatGPT o3pro one calendar year ago.

I did a qualitative side-by-side of Claude Fable vs Opus 4.8 vs ChatGPT 5.5

https://generative-ai.review/2026/06/claude-fable-rush-test-...

I get them to make a 3D explainer animation. You can clearly see Fable is much improved on both Opus 4.8 and ChatGPT 5.5.

Better Textures . A nifty camera follow . Humans rendered better . ... see for yourselves

I did a rush review of Claude Fable in my benchmark test and compared it to Opus 4.8 and ChatGPT 5.5.

Side by side videos to compare and contrast.

The 3D viewers are also available run right in your browser.

MidJourney public discord channel.

The amount of masterpiece level art flowing per hour was astounding.

For every one doing a ninja waifu, there were ten doing art from davinci and leonardo crossed with hockney.

it almost gave you art sickness

The John Snow Pump… where they sealed it up to stop Cholera is very small.

Also Novelty Automation (WC1R 4AX) is a tiny interactive museum/wharf end arcade which has some very intricate mechanical entertainments. Some are tiny.

I've rushed out my standardised quality check images for gpt-image-2:

https://generative-ai.review/2026/04/rush-openai-gpt-image-2...

I've done a series over all the OpenAI models.

gpt-image-2 has a lot more action, especially in the Apple Cart images.

2004: https://archive.org/details/britannica-2004

2009: https://archive.org/details/britannica-multimedia-dvd-2009-d...

2012: https://archive.org/details/britannica-dvd_20230709

2013: https://archive.org/details/encyclopedia-britannica-dvd-2013

Wait until they find out how many people place perfectly timed horse racing bets on the winning horse, JUST before the start of the race. 100% of them knew to back the winning horse

How is this different to system tuning parameters in Linux /proc, FreeBsd, Windows Registry, Firefox about:config, sockopt, ioctl, postgres?

Zillions of options. Some important, some not

> take part of the color space and map it uniformly to a different part of the color space

fyi Affinity Photo has recolor and hue filters that will do just that.

I used it for my video game art.

They were Thunderstruck?

when you make a program that has a random seed, many LLMs choose

   42

as the seed value rather than zero. A nice nod to Hitchhikers’

My latest game BossBattle[1] (html5, have a play) uses AI for graphics, some strobe effects, a C64 loading screen shader.

I have decided to lean in to it and I will document all the places I use AI in the game on my blog[2]. Not everything works, notably 3D assets[3] and sound effects.

There is a lot of human content… i paid for a lot out of my own pocket and have limited budget. It started in 2021 before chatgpt. LLMs cannot do everything and that’s not the purpose.

Generative AI makes me as an solo indie dev able to make the game. Without the AI the game wouldn’t exist

[1] http://epicwin.team/play/solo/BossBattle/ - (public beta) .

[2] https://generative-ai.review .

[3] https://generative-ai.review/2025/08/3d-assets-made-by-genai...

I put a link to the LLM session at the end of the commit, and prefix with POH: if I wrote it by hand.

POH = Plain Old Human

Easy to achieve.

Why NOT include a link back? Why deprive yourself of information?