It’s WILD, I cloned myself with SparkRizz

I tested SparkRizz, an AI social avatar that learns your tone, interests, and personality, then goes out to find people who actually match your vibe. I gave my AI clone one mission, find art lovers in London who explore niche galleries and museums. While I slept, it searched, started conversations, and came back with real people worth meeting. This is what happened.

It’s WILD, I cloned myself with SparkRizz

My AI clone booked coffee with fitness girls, a Milan makeup artist, and an LA Pilates instructor while I was at the gym.

No scrolling. No awkward DMs.

I gave SparkRizz one mission:

Find women into fitness, Pilates, skincare, clean beauty, and healthy food.

Came back to real conversations already happening.

It doesn’t replace you.

It breaks the ice first.

https://www.youtube.com/watch?v=nFazF9DkOQU

My AI clone made AI friends while I was asleep.

Developers in Toronto.
Builders in Berlin.
Real conversations on X.

SparkRizz learns your humor, tone, and weird little language habits, then uses your Claw Social Avatar to break the ice for you.

Lurking is over.

Your AI clone networks first.

https://youtu.be/UHkHwIwg3fo

Super Computer by Higgsfield

This is basically the long-awaited “make it look good” button.

Super Computer is an agent that takes your ideas and decides for itself HOW to execute them.

* It chooses which models to use for the task (Seedance, Kling, Veo, Nano Banana, GPT-Image, Soul, and basically anything with an API — and it has access to pretty much everything).

* It analyzes not only the type of content (ads, fashion, animation, viral videos), but also the CREATOR themselves — what they do, what kind of content they make, what performs best for them (check the link, it’s honestly a little scary).

* It analyzes social platforms (TikTok, Instagram, YouTube, Meta Ads Library), digs through trends, competitors, and similar videos.

* It can code and search the web: searching, scraping, parsing, analyzing.

* It connects with Notion, Gmail, Google Drive, Figma, Slack, and more.

* It can work inside Telegram as a classic AI agent.

* It can use Soul ID and train models on specific faces automatically.

They said you can’t vibe-code a real game with AI in browser.
Three JS hold my beer. Try my free castle builder: Build by day, bitten by night. Play it, roast it, tell me what breaks.

Try here for free here in browser https://vortex.channel/citybuilder/

Soon on Steam.

This is WILD.

Seedance 2.1 and Seedance 2.0 Mini are reportedly coming soon.

Seedance 2.1 could bring around 20% better generation quality than Seedance 2.0.

Seedance 2.0 Mini is rumored to be lighter, faster, better than Seedance 2.0 Fast, and only around $0.073/sec.

The real question now:

Can ByteDance actually challenge Veo 4 and Google’s Omni model?

Google just dropped Gemini Omni 🔮 and this is WILD.

Think Nano Banana, but for VIDEO.

One model. Any input. Text, image, clips, ideas… straight into generated video.

Rolling out across Gemini App, Flow and even YouTube. API support coming next.

And Google is not playing small here. This sounds like a full creative engine, not just another text-to-video toy.

The AI video war just went nuclear. Veo, Sora, Seedance, Kling… everyone just got a new boss fight.

But the real question is… will Gemini Omni beat Seedance 2.1, which is also about to drop with a rumored 20% quality boost over Seedance 2.0?

It’s so over for old video workflows.

Google Flow now includes Gemini Omni for video generation.

One video costs 30 credits
for 10 seconds.

The Pro plan gives 1,000 credits per month — that’s 33 videos total.

Meanwhile, Veo 3.1 Quality costs 100 credits per video.

Gemini Omni Flash.

You don’t need to spell out every step for it — it’s enough to formulate the concept of the video.
It independently finds the theory, descriptions of objects and details, visualizes them, and adds text.
Education will never be the same again.

P.S. Directing educational videos is a different kind of storytelling. You don’t need fights and chase scenes. You need concepts. And they already exist within it.

Wow, now this is interesting!

CapCut is partnering with Google.

Soon, users will be able to edit images and videos directly inside the Gemini app using CapCut’s editing tools.

In other words, Gemini is basically getting a full editing timeline.

What’s especially interesting is that the announcement says nothing about Flow. Google, of course, loves building overlapping ecosystems and products...

It’s also notable that Google still seems committed to the traditional content workflow, where editing remains a core step.

Meanwhile, Higgsfield is betting on an agentic approach — editing happens during generation itself, with AI deciding how the final clip should be assembled.

A very interesting move, especially since Dreamina and CapCut already support Seedance, Nanobanana, and other models. With the Gemini Omni API arriving, Google’s own models will likely appear there too.

Gemini Omni: translation, lip-syncing, and dubbing with accurate lip matching.
Omni can translate audio even if the prompt doesn’t include either the original or the translated text:
• matches lip movements for the new language
• keeps the background music unchanged
• adjusts the video length when necessary (!)
For example, the Japanese and Spanish phrases during the close-up shot with the cream are longer, so Omni simply extends the clip by a couple of seconds on its own.

A short prompt guide for Gemini Omni from Google:

Use real-world knowledge. Gemini Omni understands history, science, and culture, so you don’t need to over-explain. Use cultural references, eras, or scientific terms directly.
Control text rendering. Specify typography, placement, animation style, and visual effects like double exposure, synced with the video action.
Direct the camera. Think like a cinematographer: describe camera type, framing, movement, and shot style.
Edit precisely. Ask for targeted changes, such as replacing a background or caption, without rewriting the whole prompt. Omni can preserve the video structure while adjusting movement, emotion, or object interaction.

https://x.com/GoogleAI/status/2059381218660270435

A metaverse worth having.
At Google I/O, they combined Street View data from Google Maps (collected over the last 20 years, mind you) with Project Genie.
Now, in this world-generation system, you can specify any point on the map and use a prompt to describe how the real world should be transformed. In the example above, a flooded bridge in San Francisco becomes part of an underwater world.
In other words, you can create virtually any "skin" for any real-world location — and not just in 2D, but in full 3D.
Instead of location scouts, we'll soon have location prompters.
Now that's the kind of metaverse we need.
For now, it only works with locations in the US.

Ideogram 4 has gone open source!
According to current benchmarks and arena rankings, it's one of the strongest open-source image generators available.
"Ideogram 4 is Ideogram's first open-weights model, trained from scratch. It features a structured JSON prompt format, best-in-class multilingual text rendering, deep language understanding, color palette control, and native 2K generation with aspect ratios up to 6:1."
With just 9.3B parameters, it should run on modest GPUs (Qwen-Image: 20B, FLUX.2 [dev]: 32B).
For the geeks:
• Flow-matching text-to-image model built on a fully single-stream DiT architecture. • Text and image tokens are processed together by the same 34-layer transformer. • Uses Qwen3-VL-8B-Instruct, providing richer visual understanding than CLIP or T5.
Trained on JSON annotations and includes a prompt enhancer and guide.
Some content moderation is built in (Hive AI). The license is non-commercial.
GitHub repo (weights, code, docs, guides): https://github.com/ideogram-oss/ideogram4

3D generators are coming for the sacred territory — organic modeling, specifically head modeling.

This is Rodin 2.5. They offer 12K textures and generation at 10 million polygons.

The input is several head images from different angles — either generated images or photos.

https://hyper3d.ai/

Claude Fable 5 might drop today.

Leaks claim Anthropic is preparing to release Mythos publicly under the name Claude Fable 5, but nothing is official yet.

Are Game devs in trouble?

Fable 5 is the biggest step up I've felt in our models since Opus 4.5 back in November.


We just one shot GTA 6 and it works. No miskates.

One prompt. 15 minutes. The whole game.

Rockstar took 12 years. Fable took a quarter of an hour.

Mythos was deemed too dangerous to release, this is the nerfed version. And it still does THIS.

Game devs, are we in trouble?

Krea 2: Procedural Images

Krea now has real-time sliders: intensity, complexity, and movement.

Basically: prompt intensity, noise/details, and object movement within the frame.

This definitely makes the generation process more interactive and speeds up image selection.

It also reminds me of procedural textures. If you’ve worked with them, you’ll remember all those endless knobs for tweaking patterns, noise, and textures.

If you haven’t, think of the effect preview in Photoshop: you see the result immediately.

I wonder how many more sliders they could add: color grading, 3D depth, typography, layer separation, background…

The idea is to give regular users as many clear and understandable controls as possible — instead of all that CFG Scale, Sampling Method, and so on — and keep them inside the generation interface.