Urgent.News

What's breaking now, across thousands of outlets.

Editions

AI

Quote of the day by OpenAI CEO Sam Altman: 'There's no way to get there without a breakthrough' — a blunt reality check on the path to superintelligent AI

Although AI models continue to improve in metrics and benchmarks, fundamental improvements may not come for a while

Quote of the day by OpenAI CEO Sam Altman: 'There's no way to get there without a breakthrough' — a blunt reality check on the path to superintelligent AI

OpenAI CEO Sam Altman remarked that achieving superintelligent AI may require a breakthrough, a stark reality check on the path to creating such advanced systems. While AI has made impressive strides since the introduction of ChatGPT in 2022, there remains uncertainty as to whether large language models (LLMs) will lead to meaningful improvements in matching human intelligence.

At Bloomberg's event during the World Economic Forum's annual meeting in Davos, Altman discussed the staggering energy demands of AI, noting that data centers are projected to consume around 945 TWh of electricity globally by 2030, accounting for roughly 3% of total consumption. The International Energy Agency (IEA) projects this figure could be even higher, but the necessary infrastructure to generate such vast amounts of electricity does not yet exist.

This shortage of energy has become one of the most significant AI bottlenecks, hindering the scaling up and enhancement of AI model quality and performance. As more and more data centers are constructed or planned, Altman remains hopeful that breakthroughs like fusion energy may emerge in the coming years to address this critical issue and allow AI capabilities to progress beyond their current limitations.

Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at techradar.com →

More in AI

Switch AI Models at Runtime on Telnyx Edge Compute

Most AI examples hardcode the model name. That is fine until you actually want to compare models. If every model change requires a code edit and redeploy, experimenting gets annoying fast.

  • Telnyx developed multi-model-inference-switcher on Edge Compute
  • Admin UI allows model switching via dropdown without redeployment
  • Three models tested: moonshotai/Kimi-K2.6, zai-org/GLM-5.2, meta-llama/Llama-3.3-70B-Instruct

More from Thursday 20 August →