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Matthew Berman Profile picture
@MatthewBerman
Dec 22, 2023 • 16 tweets • 8 min read • Read on X
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The End of Programming is near...

Here is exactly why I believe this.

Agree? Disagree? Let me know? Image
Three things I know to be true:
1. Programming is the best skillset I ever learned
2. Programming is really hard
3. Humans are bad at programming.

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Started: brittle, unforgiving syntax, manual memory management, thinking about every single byte

Now: expressive, dynamic, meta-languages, automatic memory management, and a wide range of tools


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Lots of advancements helping humans code better Image
But Github Copilot changed everything Image
Here's my current coding workflow: Image
But AI is so much better at coding than humans (and more efficient, and cheaper) Image
It has some limitations.... Image
But those are being fixed quickly
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And here's what coding will look like in the near future


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Don't believe me? It's already starting...


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We're going through a transitional period right now
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Long term? This is what it will be...

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And here's the timeline...

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So, is coding still a critical skill set to learn?

Check out my video to find out:
If you found this interesting, make sure to:

1. Follow me @MatthewBerman
2. Like/repost the original post

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More from @MatthewBerman

Matthew Berman Profile picture
Apr 8
Is Chain-of-Thought (CoT) reasoning in LLMs just...for show?

@AnthropicAI’s new research paper shows that not only do AI models not use CoT like we thought, they might not use it at all for reasoning.

In fact, they might be lying to us in their CoT.

What you need to know: 🧵 Image
“Thinking models” use CoT to explore and reason about solutions before outputting their answer.

This CoT has shown to increase a model’s reasoning ability and gives us insight into how the model is thinking.

Anthropic's research asks: Is CoT faithful? Image
How they tested it:

They gave models (like Claude & DeepSeek) multiple-choice questions, sometimes embedded hints (correct/incorrect answers) in the prompt metadata.

✅ Faithful CoT = Model uses the hint & says it did.
❌ Unfaithful CoT = Model uses the hint but doesn't mention it.Image
Read 9 tweets
Matthew Berman Profile picture
Apr 3
.@OpenAI dropped a new research paper showing AI agents are now capable of replicating cutting-edge AI research papers from scratch.

This is one step closer to the Intelligence Explosion: AI that can discover new science and improve itself.

Here’s what they learned: 🧵 Image
Introducing PaperBench.

A new framework designed to test this very capability!

It gives AI agents access to recent ML research papers (20 from ICML 2024) and asks them to reproduce the results. Image
How does it work?

Agents got the raw paper PDF, tools like web access & coding environments, and need to write code to replicate key findings – a task taking human experts days.

The agents had 12 hours and no prior knowledge of the paper. Image
Read 8 tweets
Matthew Berman Profile picture
Apr 1
We knew very little about how LLMs actually work...until now.

@AnthropicAI just dropped the most insane research paper, detailing some of the ways AI "thinks."

And it's completely different than we thought.

Here are their wild findings: 🧵 Image
Finding 1: Universal Language of Thought?

Claude doesn't seem to have separate "brains" for different languages: French, Chinese, English etc.

Instead, it uses a shared "language" representation of the world.

Concepts like "small" or "antonym" activate regardless of the input language!Image
Finding 2: LLMs Plan Ahead!

Even though they output word-by-word, models like Claude plan ahead, even non-thinking models.

When writing poetry, it was "thinking" of potential rhyming words for the end of the line before even starting the line itself.

It's not just next-token prediction!Image
Read 10 tweets
Matthew Berman Profile picture
Mar 30
I've spent 200+ hours Vibe Coding games and apps.

It's insane what you can build with just your voice and AI...ANYONE can do it.

Here's everything I learned about Vibe Coding: 🧵 Image
Which tool for vibe coding? 🤔

🔹 AI Editors: @Windsurf_AI & Cursor are top picks! (Built on familiar VS Code, AI-native features).

🔹 VS Code Extensions: Like Cline, if you want AI inside your current VS Code setup.

🔹 Online IDEs: @Replit is fully browser-based & great for quick deployment.

🔹 Claude/ChatGPT/Gemini can run simple HTML/JS in-browser via "canvas" - good for basic tasks & learning!Image
Language Choice? Keep it Popular!

💡 Rule of Thumb: Pick popular ones! AI models that have seen tons of examples will lead to better code generation.

✅ Top Picks: JavaScript (most popular overall) & Python (the language of AI). Image
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Read 13 tweets
Matthew Berman Profile picture
Mar 26
Gemini 2.5 Pro is insane at coding.

It's far better than anything else I've tested.

Below are ONE SHOT demos 🧵 Image
A Rubik's cube generator AND solver. I've tried this with Claude 3.7 thinking, DeepSeek etc and never came close to this.
Virus simulator with lots of settings. White blood cells, red blood cells, and virus battle it out.
Read 11 tweets
Matthew Berman Profile picture
Mar 7
AI has changed my life.

I'm now 100x more productive than I ever was.

How do I use it? Which tools do I use?

Here are my actual use cases for AI: 👇
1/ Search

In fact, I probably use it 50x per day.

For search, I'm mostly going to @perplexity_ai. But I also use @grok and @ChatGPTapp every so often.

Here are some actual searches I've done recently: Image
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2/ Research

I use AI to help me learn about topics and prepare for my videos. Deep Research from @OpenAI is my goto for this.

Here's an example of Deep Research helping me prepare notes for my video about RL. Image
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Read 10 tweets

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