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AI: 15 GW Shortfall by 2027, WikiSkill and GPT-6

Code & Dev·Tom Levy·

AI: 15 GW Shortfall by 2027, WikiSkill and GPT-6

AI: 15 GW Shortfall by 2027, WikiSkill and GPT-6
Key Takeaways
1A deficit of 15 GW for AI computing power is anticipated by 2027
2Google launches WikiSkill for the persistent learning of agents
3OpenAI reveals the first outputs of GPT-6 "Astra" and ends its partnership with Cursor
4Anthropic publishes a report on the potential of self-improving AIs
Why it matters : These developments highlight the energy challenges and major technological advancements shaping the AI sector.

The AI ecosystem is reshaping itself amidst announced energy constraints and new tools. A forecast suggests a shortfall of 15 GW by 2027, while Google launches WikiSkill and OpenAI showcases the first outputs of GPT-6 "Astra." Meanwhile, OpenAI ends its partnership with Cursor, and Anthropic details the potential of self-improving AIs.

Electric Capacity and Shifting Value Chain

A forecast indicates that the computing power dedicated to AI could face a deficit of 15 GW by 2027. Nvidia continues to strengthen its position in artificial intelligence by expanding activities beyond GPUs. Furthermore, foundational models are no longer seen as the main bottleneck in AI development.

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New Tools: WikiSkill at Google and First Outputs of GPT-6

Google has introduced WikiSkill, a solution for the persistent learning of agents. OpenAI has revealed the first outputs of its GPT-6 "Astra" model, which is generating significant interest in the tech community and promises major advancements in natural language processing and other AI applications.

Reorientation at OpenAI and Research Directions from Anthropic

OpenAI has ended its partnership with Cursor following the acquisition of SpaceX, marking a turning point in the company's strategy as it seeks to redirect its efforts toward other projects. Anthropic has released a report on self-improving AIs, highlighting their ability to evolve and adapt autonomously, with the potential to transform multiple sectors through continuous performance enhancement.

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