Chimenelu

Crypto | NFTs | AI |Generative Art

[Chimenelu @Chimenelu]

I love AI generated images and I love guinea pigs so I tried a couple of promtps from @CGouaze and @LudovicCreator with cavis....😍

[Chimenelu @Chimenelu]

@eeelistar @Chance_ 6XXLEP
2VKQ77
862B8M

[Chimenelu @Chimenelu]

@SecretoDefi @Chance_ Por si alguien necesita mas codigos:
6XXLEP
2VKQ77
862B8M

[Chimenelu @Chimenelu]

@DotCSV Las infografías que se pueden hacer con NoteBookLM ya están realmente bien, esto es ir un paso mas allá. A ver si podemos probarlo pronto

[Julian Goldie SEO @JulianGoldieSEO]

Google Antigravity FULL COURSE 4 HOURS (Build & Automate Anything)

[Andrew Ng @AndrewYNg]

Important new course: Agent Skills with Anthropic, built with @AnthropicAI and taught by @eschoppik!

Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code.

What you'll learn:
- Create custom skills for code generation and review, data analysis, and research
- Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills
- Combine skills with MCP and subagents to create agentic systems with specialized knowledge
- Deploy the same skills across https://t.co/Ru4OXv4saV, Claude Code, the Claude API, and the Claude Agent SDK

Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.
https://t.co/3hq83c3q0U

[Swati Ahuja @aiandchai]

If you are struggling to keep up with the fast moving AI industry,
here is the shortest roadmap that does the bare minimum in 2 weeks and actually works.

No hype. No rabbit holes. Just enough to stop feeling lost.

Week 1. Build the mental map

Day 1. What AI actually is today
AI today = Large Language Models + tools around them.
Understand what an LLM is and why transformers matter.
https://t.co/lehoO8UMm3
https://t.co/1qyNoW2X8Q

Day 2. How models are trained
Only learn the pipeline.
Data → pretraining → fine tuning → inference.
Ignore math. Focus on cost and scale.
https://t.co/WfHSwrS9xT

Day 3. The big model families
Know who builds what and why people choose them.
GPT, Claude, Gemini, LLaMA, Mistral.
https://t.co/EZKBifZB9d

Day 4. Prompting that actually matters
Forget fancy prompts. Learn only this.
Context. Constraints. Examples.
https://t.co/mno8aO5iax

Day 5. Tools and agents
Understand function calling and agent loops.
Most agents are just prompts plus retries.
https://t.co/zvvUiCcW4S
https://t.co/iVpOVf8Dli

⸻

Week 2. Become practically dangerous

Day 6. APIs at a high level
Know what an API call looks like, what tokens cost, and why latency matters.
https://t.co/zikyBUahpk
https://t.co/Z0r1W5rkiT

Day 7. Retrieval Augmented Generation
LLMs + your data ≠ training.
Understand embeddings and vector search.
https://t.co/myoirwfe65

Day 8. Local vs hosted models
Learn when people say run locally, on device, or edge AI.
https://t.co/sYdzVTyir2

Day 9. What breaks in production
This is where real engineers live.
Hallucinations, cost explosions, latency spikes.
https://t.co/LSK8dz0kiM

Day 10. The AI product layer
AI features are not AI products.
Most startups die here.
https://t.co/WyJ9l2uKg7

Day 11. Job impact
Ignore doomsday takes. Look at workflow changes.
https://t.co/jywxWOsgv6

Day 12. Read one serious blog
Pick one and go deep.
https://t.co/CXwl5e6osg
https://t.co/AphoXogFoU
https://t.co/nKp8wPpo6q

Day 13. Build one tiny thing
A prompt workflow, internal tool, or small automation.
Building collapses confusion.
https://t.co/djTOOPYCkY

Day 14. Synthesize
Write one page.
What AI does well.
What it fails at.
Where cost and latency show up.
Where you personally can use it.

⸻

You do not need to chase every model release.
You need a stable mental model and light hands on exposure.

Two weeks of this puts you ahead of most people posting about AI.

Save this. Bookmark it. Come back to it.

[Chimenelu @Chimenelu]

@MoureDev El tema es si vamos como parece a un mundo donde aprender una nueva librería de Python no sea necesario para el 99,99% de la gente que "hace" software. Igual que ahora no necesitan conocer ensamblador.

[Chimenelu @Chimenelu]

Wow

[Theoretically Media @TheoMediaAI]

From LA to New York, the model continuously impresses me. This time utilizing an Image To World, the consistency in aesthetics from the input image is remarkable.

[Chimenelu @Chimenelu]

MCP: The USB-C Port for AI 🔌🚀
Securely connect any model (Claude, GPT-4…) to your data, tools & databases.
Tools • Resources • Prompt Templates + interactive apps.
The universal standard AI needed! #MCP #AI

[Chimenelu @Chimenelu]

@AiwithYasir @verdent_ai @AIFrontliner Antigravity does this too — and it's free.
Not clear what paid Verdent offers that Antigravity doesn't already do for $0.
@verdent_ai What's the paid edge?

[Chimenelu @Chimenelu]

Clawd gets the hype 😏 but NotebookLM is the most useful AI tool right now 🔥
Zero hallucinations 50 sources / millions of words Docs → podcasts, guides, slides, infographics instantly
The quiet king 🧠✨
You on it? 👇
#NotebookLM #AI #Productivity

[Chimenelu @Chimenelu]

Aprendiendo sobre @antigravity con @NotebookLM

[Chimenelu @Chimenelu]

@LudovicCreator Nice prompt

[PabloMA @pablommaa]

"People tend to think of themselves as good and moral, not taking into account that there could be an opposite view of what is moral."
— George Lakoff, Moral Politics

[Chimenelu @Chimenelu]

@martinjordi_ @Irisdizgomez En su web donde? No lo veo por ningun lado... si es un link lo puedes compartir por favor?

[Chimenelu @Chimenelu]

@ALVISEPEREZNEWS Donde se puede leer el programa de SALF? Algun sitio donde ver las principales diferencias con VOX? Gracias

[Chimenelu @Chimenelu]

@POVdegen Best meme content on base. 10M soon