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The World Reacts to Meta's Llama 4: Hype vs. Reality

Mark Zuckerberg's latest "baby" is out, and it's not a new social media app. On Sunday, Meta released Llama 4, its new large language model (LLM), claiming impressive results, open-source availability, and a new design. The news got a lot of attention.

Llama 4 enters a crowded open-source LLM landscape dominated by a few key players: Meta's Llama, Mistral, Qwen, and DeepSeek. Meta's latest release aims to take the lead, but big claims need careful checking. The model's performance is being tested through various benchmarks, but some experts are already questioning whether these results will hold up in real-world situations.

Early reviews are mixed, with criticisms focusing on the model's massive size – 100B and 400B parameter versions – which may limit accessibility for individuals and smaller companies. Others wonder if Llama 4's quality matches the hype. However, the flagship model, Llama 4 Maverick, has already achieved an impressive #2 ranking on the LMSYS Arena leaderboard, beating DeepSeek.

As with any new AI model, we encourage you to try Llama 4 for yourself and form your own opinion. You can test it out here.

Top AI news

1. Meta launches Llama 4 models to challenge GPT-4
Meta has introduced three new Llama 4 models—Scout, Maverick, and Behemoth—featuring advanced mixture-of-experts architecture and native multimodality. Scout offers high performance with 10M+ token context on a single GPU. Maverick outperforms GPT-4o and Gemini 2.0 Flash in benchmarks, while Behemoth, still in training, surpasses GPT-4.5 and Claude Sonnet 3.7 on STEM tasks. These models combine power with efficiency, making cutting-edge AI more accessible.

2. ChatGPT is booming in India, but revenue lags behind
ChatGPT has seen explosive growth in India, becoming its largest market by active users and second by downloads. However, monetization is lagging, with only $8 million in in-app revenue since 2023. High subscription costs and lack of local pricing are key barriers. OpenAI is exploring partnerships, including with Reliance Jio, to improve access and revenue. India could be a critical test case for OpenAI’s global ambitions.

3. UNCTAD urges inclusive AI governance to avoid inequality
UNCTAD’s 2025 report warns that AI could affect 40% of global jobs and deepen the digital divide. With AI investments concentrated in a few tech giants, developing countries risk being left behind. The report calls for inclusive governance, shared infrastructure, open-source support, and better access to data and skills. Without coordinated action, AI may reinforce global inequalities instead of reducing them.

Bonus. AI Compute Power Explosion
In just 40 years, computing power has surged from 1.8 MIPS to 1 exaflop in a single rack, thanks to Nvidia’s GB200 NVL72 system. This leap, driven by low-precision AI-optimized operations, marks a 500-billion-fold increase. While some argue we may be overbuilding AI infrastructure, others believe reasoning models will demand even more compute. The article explores the implications of this exponential growth and the strategic questions it raises for the future of AI.

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