WhatsApp is banning general purpose chatbots from using its Business API

@ilyasiqbal
 
I analyzed 10 AI models, so you don’t have to. The AI market seems upside down. Here’s proof.
 
The Insane Truth: 300x Price Difference for What?
 Claude 4 Opus: $30/1M tokens (4th best)
 DeepSeek R1: $2.80/1M tokens (2nd best)
 You’re paying 10.7x more for 3.2% better performance
This should make you angry.
 
The Rankings That Matter
Performance Leaders
 OpenAI o3 - 91.6% (costs $20)
 GPT-5 - 90% (costs $11.25)
 Gemini 2.5 Pro - 88.4% (costs $3.44) ← SLEEPER PICK
 DeepSeek R1 - 87.5% (costs $2.80)
 Claude 4 Opus - 86.4% (costs $30) ← WASTE OF MONEY
Value Kings (Performance per Dollar)
 DeepSeek V3 - 65x value (78% performance, $1.20)
 DeepSeek R1 - 31x value (87.5% performance, $2.80)
 Gemini 2.5 Pro - 26x value (88.4% performance, $3.44)
 Claude 4 Opus - 2.9x value  
 OpenAI o3 - 4.6x value
Translation: DeepSeek V3 is 22x better value than Claude.
 
The Uncomfortable Truth
By the Numbers
 80-99% - Token prices crashed since 2023
 4.1 points - Performance gap between $2.80 and $20 models
 85%+ - Performance threshold for 95% of real tasks
 $0.10 - Llama Scout (40x cheaper than o3, 84% capability loss)
What This Means
You’re paying premium prices for 3-4% marginal gains nobody notices.
Your customers won’t tell the difference between 87% and 91% AI performance. But they WILL notice a 90% cost reduction.
 
The Market Split
Ultra-Premium ($15-30)
 OpenAI o3, Claude 4 Opus
 For: Research labs, ego, marketing
 Reality: 98% of companies don’t need this
Smart Value ($2-8)
 DeepSeek R1, Gemini 2.5, GPT-5
 For: Smart companies who do math
 Reality: This is where the future is
Budget Tier (<$1.50)
 DeepSeek V3, Llama Scout
 For: Volume plays, content mills
 Reality: Good enough is good enough
 
The Real Winner: DeepSeek
Chinese AI just broke the game.
 87.5% performance at $2.80
 That’s 31x better value than Claude
 Fastest improving benchmark scores
 Nobody’s talking about this yet
Europe’s sleeping. Silicon Valley’s in denial. Asia’s winning.
 
One Chart. One Truth.
Lower left = You’re winning. Upper right = You’re losing money.
(See full analysis chart above)
 
What Should You Do Tomorrow?
If you’re running production AI:
 Migrate from Claude to DeepSeek R1 (save 70%)
 Test Gemini 2.5 Pro (save 80%, barely lose performance)
 Stop paying OpenAI premium pricing unless you’re doing PhD-level research
 Deploy DeepSeek V3 for your high-volume stuff
If you’re building a startup:
 Default to DeepSeek R1 or Gemini
 You have zero reason to start with o3 or Claude
 Reinvest 70% savings into product, marketing, team
If you’re at OpenAI/Anthropic:
 You have 6 months to fix pricing or lose market share to China
 Your moat is collapsing in real-time
 
The bottom line is the best AI isn’t the most expensive AI.
It’s the one that costs 1/10th as much and works 95% as well.
Stop paying for the logo. Start paying for performance.
 
Sources: Epoch AI, Artificial Analysis (Oct 2025), Stanford AI Index 2025, DeepSeek R1 Paper (arXiv:2501.12948), Official API pricing

Ultra-Premium ($15-30)
 OpenAI o3, Claude 4 Opus
 For: Research labs, ego, marketing
 Reality: 98% of companies don’t need this
Smart Value ($2-8)
 DeepSeek R1, Gemini 2.5, GPT-5

@RayFernando1337

New Cursor feature unlocked. Here is why this is powerful.

Instead of constantly switching branches or stashing your work, Git worktree lets you check out multiple branches in separate folders simultaneously. All connected to the same repo!

Think of it like having multiple "windows" open into your codebase, each showing a different branch.

Why This Matters for AI Agent Users.

If you're running AI agents (Cursor, Claude Code, etc.), you've probably hit this pain point: when running multiple agents in parallel, they all make changes to the current branch, creating conflicts and chaos.

Should You Try It?

Try it NOW if:
- You're already running multiple AI agents
- You find yourself waiting for agents to finish and wish you could be productive during that time
- You want agents working on different features simultaneously without stepping on each other

What You Gain:
The ability to launch multiple Cursor/agent instances simultaneously, each working on different branches in isolation—enabling conflict-free experimentation and rapid iteration.

While one agent is refactoring or generating code, you're free to work in another instance.

The Main Benefit vs. Manual Worktrees:
Manual worktree management requires running terminal commands and tracking multiple directories yourself, while Cursor's automation handles the setup and cleanup automatically when launching agents.

Hey! I'm the person who previously released Claudable, a Lovable-like tool using Claude Code.

While many people loved Claudable, I realized it was difficult to use for non-developers and the local setup had too many variables. So this time, I've built it as a cloud-based service.

Just download the app and click - it connects with your Claude or OpenAI plan, and you can build and deploy just like Lovable. And it's free!

I put a lot of effort into making it run safely in a cloud sandbox. From the original Claudable, I've added a preview mode using cloud sandbox, one-click deployment with Cloudflare, and GitHub & Supabase integration. (My goal is to save people from paying for Lovable!)

Since it's still early stage, I'm very open to feedback!

Please give it a try and let me know what you think: try https://clink.new/

@Sake2127
 
New LMArena model called  
 
- orionmist
- lithiumflow
 
gemini 3.0 pro and gemini 3.0 flash?!
 

r/cursor mels_hakobyan
 
My software engineering skills are degrading because of AI
 
Please help me understand how I can be productive and not lose my skills when using AI in development. Lately, I can sense that I am losing IQ points because of relying on AI too much. Also, when working on a project, at some point, I realize that I no longer understand the code base, and taking responsibility for that code is scary.  
 
My manager demands that we utilize as much AI as possible in the development process, and from the company's standpoint, there is nothing wrong with that. Also, there is this problem of me starting to hate coding because the only thing I loved about coding (the actual coding) is taken away from me, and I am forced to review AI-generated code (which I don't enjoy doing because I hate reviewing code, and AI can generate an immense amount of code).  
 
I want to stop using AI entirely, but that would mean a massive drop in productivity.  
 
Do you even have such issues, and how do you solve them?