Codex is not just for coding anymore.
People are using GPT-5.5 to run farms, build iOS apps, design in Figma, launch businesses and automate workflows.
10 wild use cases.
Bookmark this:
Holllllyyyyyyyy @GeminiApp cooked 😳😳
🚨 Gemini Omni: New video model
Here is the first output and see the text coherence , if this is not nano banana moment of video then what is ??
direct link for those who believes otherwise in comments
AI storytelling is crazy now
chatgpt image 2 can turn any story idea into storyboard with cast design.. then feed it to seedance 2 to get a full film scene.. this workflow is crazy on arcads
step by step tutorial with prompts:
When using GPT-5.5, it is instantly noticeable how much more powerful it is.
In Codex, I gave it a very complex prompt to create London Toy Railway with landmarks and seasons - it did an excellent job in one shot.
In the second half of the video you see GPT-5.4 - it was also not bad, but very clearly worse. GPT-5.5's generation is far more ambitious, coherent and with fewer errors.
This is obviously a toy example, but I've used it on much more complex real tasks, including a complex app migration and a new hard workflow - it has been working away for many hours without getting stumped.
I'm getting more and more addicted to this stuff with every model release.
I like blockchain tech quite a bit because it extends open source to open source+state, a genuine/exciting innovation in computing paradigms. I'm just sad and struggle to get over it coming packaged with so much braindead bs (get rich quick pumps/dumps/scams/spams/memes etc.). Ew
Point your agents to the new Venice Skills repo
Includes everything: 19 self-contained SKILL.md folders covering the full Venice API suite — chat, responses, embeddings, image generate/edit, audio (speech/music/transcription), video, characters, API keys, billing, x402, crypto RPC, and more
📦 Shipped: mini wiki for every model on @AskVenice
Filterable catalog → per-model deep dives → feature TLDRs → curated bios → provider hubs → official websites. Auto-syncs from the Venice API, uses Venice inference ($DIEM) to write its own bios.
So the wiki literally maintains itself. The models write about themselves now 🤝
https://t.co/8EEcZxA0Qa
Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow.
🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas.
⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system.
🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time.
Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → https://t.co/pmT9iHEpZa
Are you guys aware I am coding mostly on my phone now all day via Termius to Claude Code on my server while I go with gf to the dentist, clothing store, cafe, etc. 😛✌️
THIS is the wildest open-source project I’ve seen this month.
We were all hyped about @karpathy's autoresearch project automating the experiment loop a few weeks ago.
(ICYMI → https://t.co/ieuH8c0Y4x)
But a bunch of folks just took it ten steps further and automated the entire scientific method end-to-end.
It's called AutoResearchClaw, and it's fully open-source.
You pass it a single CLI command with a raw idea, and it completely takes over 🤯
The 23-stage loop they designed is insane:
✦ First, it handles the literature review.
- It searches arXiv and Semantic Scholar for real papers
- Cross-references them against DataCite and CrossRef.
- No fake papers make it through.
✦ Second, it runs the sandbox.
- It generates the code from scratch.
- If the code breaks, it self-heals.
- You don't have to step in.
✦ Finally, it writes the paper.
- It structures 5,000+ words into Introduction, Related Work, Method, and Experiments.
- Formats the math, generates the comparison charts,
- Then wraps the whole thing in official ICML or ICLR LaTeX templates.
You can set it to pause for human approval, or you can just pass the --auto-approve flag and walk away.
What it spits out at the end:
→ Full academic paper draft
→ Conference-grade .tex files
→ Verified, hallucination-free citations
→ All experiment scripts and sandbox results
This is what autonomous AI agents actually look like in 2026.
Free and open-source. Link to repo in 🧵 ↓
Say hello to Gemini Embedding 2, our new SOTA multimodal model that lets your bring text, images, video, audio, and docs into the same embedding space! 👀