Meta confirms Llama 3 in major push for open-source AGI
In January 2024, Meta announced its commitment to Llama 3 and a massive computing infrastructure for AGI. Simultaneously, Apple opened pre-orders for the Vision Pro in the US.
What happened?
In January 2024, Meta CEO Mark Zuckerberg announced that the company had commenced training of the Llama 3 AI model, aiming to develop open-source artificial general intelligence (AGI). To achieve this, Meta is scaling its computing capacity to the equivalent of approximately 600,000 Nvidia H100 graphics cards by the end of 2024. Simultaneously, Apple opened pre-orders for its Vision Pro headset in the US, and Chinese company Zhipu AI launched its new GLM-4 model.
Key facts
| Metas beräkningskapacitet 2024 | Motsvarande 600 000 Nvidia H100 |
|---|---|
| Startpris Apple Vision Pro | 3 499 USD |
| Tid för Vision Pro första slutsåld våg | Under 30 minuter i butik |
”Meta研發Llama 3，構建開源AGI”
Why it matters
The push for Llama 3 illustrates how Meta is challenging closed systems such as OpenAI by prioritising open-source models in its pursuit of AGI. The massive expansion of GPU capacity highlights how hardware resources have become the primary bottleneck and competitive advantage in the AI arms race.
Who is affected?
These initiatives primarily affect AI researchers, developers, and technology companies that utilise open-source models. Consumers in the US were directly impacted by the launch of Apple Vision Pro, while global companies and developers are affected by the increased competition in large language models and video generation.
Impact on the EU
When the news broke in January 2024, Apple Vision Pro was launched exclusively in the US market. Meta has previously faced intense scrutiny from EU authorities regarding data protection and privacy concerning its AI models, which impacts the speed at which open-source models like Llama are rolled out in Europe.
What else you should know
During his attendance at the World Economic Forum in Davos, Sam Altman emphasised that AGI will likely be developed in the near future, but downplayed concerns regarding immediate mass unemployment resulting from the technology.
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