AI Simple

Making AI easier to understand and sharing insights on how AI can apply to every industry and life.

[AI Simple @AISimpler]

@heroesvhordes Id: e924f324-7941-4937-834c-e0215971ab0f / afT5vE6GxzVqQYWXabBQdhlmsQJ2

[AI Simple @AISimpler]

Very clear, insightful guide and process to get started using AI to build applications in an efficient manner.

[Prajwal Tomar @PrajwalTomar_]

I’ve built 13 MVPs in last 90 days with AI code

The Biggest thing I learned about AI coding is… it needs “Detailed Plan”

Most people jump straight into coding. That’s a mistake.

Documentation is 80% work in AI coding, 20% is to implement.

Here’s how I build my MVPs:

🧵👇

[AI Simple @AISimpler]

UAE has their strategy to build an AI native government. The fine print says they expect to create 5000 jobs. Hopefully, more governments take notice to cut waste and grow potential.

https://t.co/kmPMLPKmMz

[AI Simple @AISimpler]

Dubai is setting out certification and classification for AI companies and services.
#AIinDubai

[AI Simple @AISimpler]

Very exciting. I can see so many good simple things that we can do here. I wonder how many early startups are going to have to pivot or double-down to stay relevant.

[Karina @karinanguyen]

We're excited to introduce Tasks! For the first time, ChatGPT can manage tasks asynchronously on your behalf—whether it's a one-time request or an ongoing routine. Here are my favorite use cases:

1/ ChatGPT checks stock price every morning!

[AI Simple @AISimpler]

@henrythe9ths Looks like a great list. I've read about 70% of the screenshot, so will dive into rest!

[Henry Shi @henrythe9ths]

There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really.

I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI.

But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone.

So I spent my entire holiday diving deep into AI research—reading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier.

✨ Here’s what I learned:
- You don’t need months (or years) to catch up.
- You don’t need a PhD or decades of ML experience.
- You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today.

It's because the technology is extremely nascent and most techniques that came before are no longer relevant:
- ChatGPT is barely 2 years old and Transformers are only 7 years old.
- Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication.

The biggest secret?
Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine).

I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start.

I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were:
- Curated list of only the most important papers
- Simple explanations of key concepts
- Clear pathway to understanding the frontier of modern AI

It’s perfect for:
- Founders expanding into AI
- Builders wanting to innovate at the frontier of AI
- Investors looking to separate the signal from the noise

👇 Want the full guide?
- Like and Share this post
- Comment "AI Guide"
- I'll send you the complete guide

(ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)

[Alex Reibman 🖇️ @AlexReibman]

Model Context Protocol (MCP) is a new open standard for connecting LLMs to tools, data, and dev environments

Anthropic invited 100+ developers to SF to see what we could build in only 3 hours.

Here’s what we saw at the @AnthropicAI MCP Hackathon (🧵):

[Guglielmo Iozzia 🇪🇺 @GuglielmoIozzia]

Andrew Ng’s team released a new open source Python library for Gen AI called aisuite: it aims to address the interoperability issue and simplify the process of building apps that utilize LLMSs from different providers (OpenAI, Anthropic, Ollama, Hugging Face).

[LangChain @LangChain]

🚀 Perplexica - An AI-powered search engine 🔎

Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers.

Built with LangChain, this is a great resource for getting started!

https://t.co/S74S78MQlQ

[AI Simple @AISimpler]

Keeping an eye on the future of #SoftwareDevelopment?

1. Follow me @AISimpler
2. Retweet to share https://t.co/rfivX1otu2

Thanks!

[AI Simple @AISimpler]

@Microsoft #AutoDev promotes a future of coding which is primarily #AI supervision - what does it mean for developers? 🤖👩‍💻 #TechTrends #SoftwareDevelopment

[AI Simple @AISimpler]

@Microsoft #AutoDev promotes a future of coding which is primarily #AI supervision - what does it mean for developers? 🤖👩‍💻 #TechTrends #SoftwareDevelopment

[AI Simple @AISimpler]

I haven't had the opportunity to play with #Devin yet, but I've tried a few of the others. A spectacular mention for #WebGPT by @JD_2020. I recently got my kids to try their hands at building something simple in it, and they're excited!

[AI Simple @AISimpler]

Love the analysis?

1. Follow me @AISimpler
2. Retweet to share https://t.co/5f3zdvZRRW

Thanks!

[AI Simple @AISimpler]

🌟 Introducing RecurrentGemma, a groundbreaking model from Google DeepMind that challenges traditional transformer models with its innovative Griffin architecture! 🎉 Why stick with the old when you can be more efficient? #RecurrentGemma #Innovation #TechNews

[AI Simple @AISimpler]

🌟 Introducing RecurrentGemma, a groundbreaking model from Google DeepMind that challenges traditional transformer models with its innovative Griffin architecture! 🎉 Why stick with the old when you can be more efficient? #RecurrentGemma #Innovation #TechNews

[AI Simple @AISimpler]

Read the research article: https://t.co/iKGN7DZnHO