Meta’s Yann LeCun predicts ‘new paradigm of AI architectures’ within 5 years and ‘decade of robotics’ techcrunch.com/2025/01/23/met… via @techcrunch

OpenAI’s Stargate may be tech’s biggest gamble ever, but here’s what’s really at stake fortune.com/2025/01/22/ope…

Trump’s AI Venture to Begin With 57 Jobs in Texas bloomberg.com/news/articles/… via Bloomberg Technology

The Stargate Project is a new company set to invest $500 billion over the next four years to build AI infrastructure in the United States. So what exactly does that get you in terms of real-world infrastructure? Find out in this week's Computerspeak from Alexandru Voica computerspeak.co/p/the-math-on-…

This was a productive week for people keen to share cringe geopolitical takes on X, many of whom positioned DeepSeek's new R1 model as a "Sputnik moment" in a zero-sum war between the United States and China: computerspeak.co/p/deepseek-bri…

When DeepSeek released R1, a well-performing open weights reasoning model, the response from many in the American media and industry was to frame it as the latest salvo in the US-China "AI war." For Computerspeak from Alexandru Voica, my AI avatar explains why that's unhelpful 👇

In this week's Computerspeak from Alexandru Voica newsletter, I look at four developments from the world of reasoning models, and how they challenge the established narrative around AI agents: 1️⃣ @GitHub’s CEO Thomas Dohmke announcement of "agent mode," a new Copilot feature that elevates AI pair

For more than two years, we’ve had to endure the droning of a vocal group who have hijacked the public discourse around generative AI. Thankfully, at the #AIActionSummit in Paris, we've finally said adieu et à bientôt to most of them: computerspeak.co/p/rip-to-the-a…

Elon Musk recently said that superintelligence will be among the top 10 most important milestones in the history of life on Earth. I explain the consequences of his statement in this week's Computerspeak from Alexandru Voica newsletter: open.substack.com/pub/computersp…

A lot has been written about the Make It Fair campaign launched by representatives of the UK creative industry earlier this week. I look at the solutions proposed by Julia Willemyns, Imogen Heap, and John Thornhill: computerspeak.co/p/restrictive-…

Today's AI ecosystem has been built on top of a compute and data infrastructure created during the golden age of the technology industry. Here's how the coming trade war between the United States and China will affect that: computerspeak.co/p/threat-of-ta…

In this week's Computerspeak from Alexandru Voica newsletter, I explain some of the reasons why startups have historically found it hard to rely on EU supercomputers for AI development: computerspeak.co/p/europe-expan…

A new study from Pew Research Center reveals a significant divergence between experts and the general public regarding the benefits of AI. This trust gap is completely understandable, if we look at what happened during the previous wave of automation: computerspeak.co/p/trust-gap-ai…

After attending a discussion about AI and copyright at the Palace of Westminster on Tuesday, here are two proposals that could help the UK to develop a progressive, growth-focused, and standards-based approach to responsible AI: computerspeak.co/p/a-standards-…

EVERYTHING IS COMPUTER! #GoogleIO

World models are essential testing grounds for AI agents. Researchers from @MBZUAI are working on PAN, a world model that can simulate infinitely diverse realities, from simple physical interactions to complex multi-agent systems: computerspeak.co/p/world-models…

I spoke to S&P Global Market Intelligence about Europe's ambitious plan to invest €200 billion in AI gigafactories: spglobal.com/market-intelli…

While I’m pretty sure that the Venn diagram of things that Karen Hao and executives from the AI industry agree on is generally small, this week we saw it getting a tad wider in real time. In her new book Empire of AI, she explains that AI boomers and doomers are two sides of

We have reached AGI.

In a call with reporters ahead of the release of GPT-5, Sam Altman described "a model that continuously learns as it's deployed from the new things it finds" something that to him "feels like AGI." In this week's Computerspeak, I attempt a more detailed spec for what AGI (or