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šŸ¤– Alibaba’s AI Power Move

Did Qwen 2.5 Max just dunk on OpenAI’s GPT-4?

 Welcome to AI Wire — your smart shortcut to all things AI without the jargon.

What we’ll cover today:

šŸ”„ OpenAI vs. DeepSeek: AI breakthrough or high-tech heist?

šŸ’° Zuck’s AI War Chest: Can billions buy AI dominance?

šŸš€ Alibaba’s Big Bet: Is Qwen 2.5 Max the new AI king?

šŸ› ļø 4 Game-Changing AI Tools: Work smarter, not harder.

šŸŽ¬ AI Hacks & Tutorials: Quick guides to level up fast!

Source : Medium

Alibaba, China’s tech giant, just threw a massive AI bombshell, claiming its latest model, Qwen 2.5 Max, is better than OpenAI’s.

🚨 Breaking News:
Alibaba says Qwen 2.5 Max beats OpenAI’s GPT-4 and China’s DeepSeek, making it the most powerful AI model yet from Asia.

⚔ Wire Simplified:

  • Alibaba claims its AI model, Qwen 2.5 Max, outperforms OpenAI’s GPT-4.

  • The new model focuses on efficiency, cost-effectiveness, and performance.

  • This challenges OpenAI’s dominance and puts pressure on US AI leaders.

  • The AI rivalry between China and the US is heating up fast.

āœ”ļø Straight to the Point:
Alibaba's bold claim shakes up the AI race—whether it’s truly ahead remains to be seen, but competition just got fiercer.

šŸ”¹ Who do you think will dominate AI in the next five years?

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Source : Synthetik

Meta’s Mark Zuckerberg isn’t fazed by DeepSeek or Alibaba—he’s ready to pour "hundreds of billions" into AI to stay ahead.

🚨 Breaking News:
Zuck just revealed Meta’s massive AI investment plans, promising to outspend rivals like OpenAI, Alibaba, and DeepSeek.

⚔ Wire Simplified:

  • Zuckerberg plans to spend hundreds of billions on AI over the next decade.

  • Meta is betting big on AI-driven platforms, assistants, and future innovations.

  • This move signals a long-term AI war between global tech giants.

  • Expect Meta to compete aggressively against OpenAI, Google DeepMind, and China’s AI leaders.

āœ”ļø Straight to the Point:
Meta is all-in on AI, but will big money guarantee big success? History says spending alone won’t win the race.

šŸ”¹ Do you think Meta can outpace OpenAI in AI development?

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Source : Axios

OpenAI, the company behind ChatGPT, is accusing China’s DeepSeek of copying its AI work—and even the White House is paying attention.

🚨 Breaking News:
OpenAI claims DeepSeek "distilled" its AI models to create a ChatGPT rival at a fraction of the cost, sparking legal and security concerns.

⚔ Wire Simplified:

  • OpenAI suspects DeepSeek used its AI research without permission.

  • Microsoft is investigating if OpenAI’s data was misused.

  • The White House and the US Navy are now concerned about DeepSeek’s security risks.

  • Some experts argue AI builds on existing models, making "copying" a gray area.

āœ”ļø Straight to the Point:
DeepSeek’s rise is shaking up AI, but whether it’s innovation or imitation could reshape AI rules and national security policies.

šŸ”¹ Do you think DeepSeek stole OpenAI’s work?

Login or Subscribe to participate in polls.

Tools

šŸ”¹ ClickUp AI – Work smarter, not harder—this AI does the boring tasks so you can actually get things done! šŸš€ 

šŸ”¹ tl;dv – Never take meeting notes again—this AI records, transcribes, and highlights key points like your personal assistant! šŸŽ™ļø

šŸ”¹ Guru – Your team's brain, but searchable—get instant answers instead of hunting through 50 Slack messages! 🧠 

šŸ”¹ Clay – Find & close leads before your competitors even wake up—AI-powered prospecting that actually works! šŸ’°

Resources

šŸ”¹ ClickUp AI Tutorial ā€“ Skip the guesswork—this beginner-friendly guide will have you using ClickUp like a pro in minutes! šŸš€

šŸ”¹ tl;dv Starter Guide – Learn how to auto-record, transcribe, and never forget what was said in meetings again! šŸŽ¤ 

šŸ”¹ Guru & The AI Hype Cycle – Not all AI is gold—this video reveals what’s real and what’s just overhyped nonsense! 🤯

šŸ”¹ Clay AI Lead Gen Guide – This tool makes finding leads feel like cheating—here’s how to use it! šŸ”„ 

ā

I read the DeepSeek-R1 paper the day it came out, and I don’t think GRPO is the key to its success. Instead, here’s what truly matters (ranked by importance):

1. Iterative RL and SFT

2. A hybrid reward model—mixing rule-based RM and neural RM for deterministic tasks

3. High-quality synthetic data, with human post-processing only when necessary

4. Evaluation with 64 inference samples

These open exciting opportunities for PhD students with limited compute to explore further. I might tweet some potential research projects inspired by DeepSeek-R1 later.

Beyond the technical aspects, what I appreciate even more:

1/ Openness: without it, people won’t follow.

2/ Exceptional writing: Strong storytelling: from proof of concept to a more complex process demonstrating full potential. Clear, easy-to-follow methodology.

Final note: Heroes admire each other, while losers resent each other. Let’s stay competitive and grateful!

ā

You can run a quantized version of the full version of DeepSeek on just 2 H100s and get 140tok/s

For the ~$2/hr rate of an H100, that’s $4 for 504k tokens or ~$8/M tokens which is ~90% cheaper than o1.

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