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Claude is better than Grok and ChatGPT in coding

DeepSeek R2 model is coming soon. What's next? Dive in

Author

Jafar Najafov
February 26, 2025 • Read this in 11 minutes

AI in 2025 is like:

  • The internet in 1997

  • The industrial revolution in 1800

  • Electricity in 1882

Every 100 years, something rewrites the world. AI is that moment.

In today’s post:

  • Claude 3.7 and Claude code: What’s new?

  • Meta: $200 billion AI center project

  • DeepSeek: Launching new model “R2“

  • Elevenlabs: Create and publish audiobooks

  • Quora’s Poe: Now create custom AI apps

  • Trending AI tools + More AI news

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What’s Trending Today

Claude

Claude 3.7 Sonnet: Smarter, Faster, and Thinking Like a Pro

AI keeps getting smarter, and Claude just took a big leap. Anthropic dropped Claude 3.7 Sonnet 2 days ago, their most advanced model yet.

But what makes it different? Well, this isn’t just another chatbot upgrade it’s a hybrid reasoning model.

Here’s what’s new:

  • Faster or deeper thinking, you decide: Claude 3.7 Sonnet can give quick responses or slow down and think step by step when needed. API users can even set limits on how much “thinking” the model does.

  • A huge boost for coding: Whether you're debugging, refactoring, or building from scratch, Claude 3.7 Sonnet is now one of the best AI coding assistants out there. It even integrates with GitHub and other developer tools.

  • Introducing Claude Code: A new command-line tool that lets developers run tests, edit files, commit code, and push to GitHub all with AI assistance. It’s currently in limited preview but already saving devs serious time.

  • Same price, more power: Despite all the improvements, pricing stays at $3 per million input tokens and $15 per million output tokens even for extended reasoning.

Here’s what I think:

This is a big deal. Whatever Anthropic says about thinking and reasoning, that aside Claude 3.7 Sonnet is 10x better than other models in coding. That’s the real story here. I see it as a coding assistant first, and everything else is just extra. If you're a developer, it’s a serious productivity boost.

Would you trust an AI to handle your code? Because at this point, Claude might actually do it better.

Read the complete up here

Meta

Meta’s $200 Billion AI Bet Or Just a Rumor?

Meta might be gearing up for one of the biggest AI infrastructure investments ever a $200 billion data center project. According to The Information, the tech giant is in talks to build a massive AI-focused data center, with potential locations in Louisiana, Wyoming, and Texas. Meta execs have reportedly visited sites, and developers are already in the loop.

But here’s the twist…Meta denies it. A spokesperson called the report “pure speculation”, saying the company has already disclosed its data center plans.

What’s not speculation? Big Tech is pouring billions into AI infrastructure:

  • Microsoft is set to invest $80 billion in data centers in 2025.

  • Amazon is going even bigger $100 billion next year, up from $75B in 2024.

  • Apple is building an AI server factory in Texas, part of a $500 billion US investment.

  • Google is expanding its global data center footprint with mega energy parks to power AI sustainably.

Here’s what I think:

Whether this $200B Meta project is real or not, one thing is clear AI is driving the biggest infrastructure boom in tech history. Data centers are the new oil fields, and every major player is racing to build their own. Meta may deny this specific report, but they’re not sitting out the AI arms race.

How long before trillion-dollar AI investments become the norm?

DeepSeek

DeepSeek Is Rushing Out R2…But Can It Keep Up?

DeepSeek came out of nowhere in January with R1, a reasoning model that shocked the AI world.

Now, they’re speeding up the launch of R2, their next-gen model, according to Reuters. Originally planned for May, R2 might be hitting the market even sooner though no exact date has been announced yet.

Here’s what we know:

  • R2 will focus on coding and multilingual reasoning: DeepSeek wants its next model to be better at programming and work in multiple languages beyond English.

  • R1 was a game-changer at a fraction of OpenAI’s cost: When DeepSeek-R1 launched, their research claimed it was trained far cheaper than OpenAI’s models. OpenAI and Google pushed back, calling the claims exaggerated—but companies still jumped on board.

  • Big players are already using DeepSeek: Microsoft added R1 to Azure AI Foundry and GitHub, while AWS also listed it in their model catalog.

  • With GPT-4.5 and GPT-5 still a ways off, DeepSeek sees an opening: If R2 launches soon, it could grab market share before OpenAI’s next big update.

Here’s what I think:

DeepSeek isn’t just trying to keep up, it’s trying to get ahead. While OpenAI and Google argue about its methods, companies are actually using R1. If R2 delivers, DeepSeek could become a serious competitor in the AI race.

The real question: Can they maintain this speed and quality or will rushing R2 backfire?

ElevenLabs

ElevenLabs Is taking on Audible with AI-Generated audiobooks

ElevenLabs just made a bold move. The AI voice company is now letting authors create and publish audiobooks directly on its Reader app essentially building its own alternative to Audible.

Here’s what’s happening:

  • Authors can now use AI to generate and publish audiobooks: The platform offers affordable AI narration, making audiobook production cheaper than traditional studios.

  • Authors get paid when people listen: Right now, ElevenLabs pays $1.10 when a listener engages for 11+ minutes. During testing, the average user spent 19 minutes per session.

  • Competing with Audible on royalties: ElevenLabs claims Audible doesn’t pay authors enough. By hosting and distributing audiobooks directly, they aim to give creators a better deal.

  • Only English for now, but more languages coming: At launch, payouts are only for U.S. authors and English books. But they plan to expand to 32 supported languages soon.

  • A marketplace is on the way: Soon, authors will be able to sell their audiobooks directly through ElevenLabs.

Here’s what I think:

This is big. Audiobooks are expensive to make, and ElevenLabs is making them cheaper and easier for indie authors. Whether it actually takes on Audible depends on how much listeners embrace AI-generated narration.

Would you listen to an AI-narrated book over a human one?

Quora

Quora’s Poe Just Made AI App Creation as Easy as Typing

Quora’s Poe platform just dropped a game-changing feature: Poe Apps. Now, anyone can build and share AI-powered apps—no coding experience needed.

Here’s how it works:

  • Describe your app, and Poe builds it: Using the new App Creator tool, users just describe what they want, and Poe generates the app interface and logic in JavaScript.

  • Choose your AI models: Users can pick from models like OpenAI’s GPT-4o, Google’s Veo 2, or Bria’s image tools to power their apps.

  • Edit the code if you want: Poe lets you tweak the generated code, so devs can fine-tune their apps manually.

  • Early examples are already live: Quora built a 3D anime-style art generator and an object remover for photos using this tool.

  • Apps can be shared but only on the web for now: Poe Apps work in browsers, with iOS and Android support coming soon.

  • Monetization is on the horizon: Quora hinted that creators may soon be able to make money from their apps.

Here’s what I think:

AI app creation is about to explode. With Poe Apps, ChatGPT Canvas, and Anthropic’s Artifacts, AI is making coding optional.

The real question: Will these AI-generated apps be good enough to replace traditional development?

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