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Smug until weirdly silent: who told us to say “I am alive”?35m ago Disney's new CTO tells staff he 'won't pretend it will be easy' to win in the changing media landscape47m ago OpenAI Adds New Irish Roles in Boost to Firm’s EU Headquarters49m ago Manifold Steering from a Natural State is Effective and Generalizable, but Relies on Model Accuracy50m ago Microsoft Research Introduces StudentSim for AI Tutor Training51m ago Why Big Tech Is Borrowing Billions to Fund AI Spending55m ago Meet the Anthropic Engineer Keeping Its AI Agent Trustworthy57m ago Meta Unveils New Series of Advanced A.I. Models2h ago Russia was not ready for the data center war it started with Ukraine1h ago Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan1h ago Meta says its new Muse model has reached the AI frontier1h ago Do you have any ideas?1h ago Claude sent a false homicide tip to police – and it’s part of a troubling AI pattern1h ago Labs’ current alignment plans seem terrible1h ago

Chips & Compute Business & Enterprise4 min reading time

Cerebras Systems’ Andrew Feldman on whether AI can keep scaling at TechCrunch Disrupt 2026

TechCrunchPublished 12 days ago

Read the full article

Cerebras Systems CEO Andrew Feldman discussed AI's scaling challenges at TechCrunch Disrupt 2026, focusing on the limits of conventional chip architectures and Cerebras' wafer-scale computing approach. The company recently raised $5.5B in an IPO and partnered with OpenAI to deploy 750 megawatts of AI systems by 2028.

#ai-hardware #andrew-feldman #cerebras-systems #openai #techcrunch-disrupt #wafer-scale-computing

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