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Google is reportedly working on a project that would bake Gemini's neural-network architecture right into the circuitry of a chip. This would lock the model into the chip, increasing efficiency and decreasing overhead. The model can still be refreshed by loading new weights, but the underlying structure will stay fixed. While the project may not end up as a finished product, it shows how the custom AI silicon industry may be moving away from running any model to fusing one model with the metal.
Helios is a rack-scale system that combines AMD's GPUs, CPUs, networking, and software to power frontier model inference. It will start shipping to customers later this year. AMD hasn't released any details about cost, but it is estimated that Helios will cost between $5 million and $5.5 million. AMD only holds around 4.5% of the data center GPU market, but Helios could change that.
This post looks at what's going on in the world of formalization, AI tools, and counterexamples. AI tools are now starting to solve theorems. They can even write proofs in Lean to dispel any doubts about their validity. This is speeding up the research process for mathematicians.
BrainCo showcased a platform that allows users to direct robots through neural signals at the 2026 World Artificial Intelligence Conference this week. The technology uses an EEG headset to pick up the wearer's brain signals. AI algorithms are used to decode the signals into intent, which then gets converted into commands for the robot. The demonstration showed a mind-controlled robotic arm completing tasks that require precision, such as grasping a cup and picking up an apple.
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Every jump in AI capability raises the level of abstraction at which an engineer can work. With agent swarms, the unit of work becomes the spec. For this to work, the swarm has to actually follow the spec. This post discusses how to do that.
AI is brilliant for external goods - money, status, and output - and potentially corrosive for internal ones - the skill, the mastery, and the satisfaction you can only get by doing the thing itself. People after external goods see AI as close to a superpower, as it makes people more productive and produces more output. However, for those interested in the internal goods, AI can feel like a loss, as it takes the parts they loved and hands it to a machine, leaving only supervision and accountability. While the output still arrives, the pride and satisfaction of owning the work is gone.
The industry is overreacting to Kimi K3 and Chinese open-weight models. However, there is reason to be concerned about cybersecurity risks. Models capable of mounting cybersecurity attacks on existing infrastructure are already widely available. The only viable defense is to make sure defenders have access to the best models as well.
Google revamped its search with AI last year. Its AI mode replaces search results with conversational responses. People are spending more time with Google than ever, but the company is sending less and less traffic to sites through search results. The changes threaten the open web and show how rapidly AI has upended the technology landscape.
The agent is a guest in the app, editing the same document you are.
The former deputy manager, who faces a sentence of up to seven years, allegedly copied 21 confidential documents intending to use them in China.
Headcount is now more about how much accountability you can afford rather than an indicator of capacity.
This post looks at factors that organizations should adopt to be smaller, faster, and deliver outsized value to customers.
Z.ai has started partial operations at a giant data center that runs only on Chinese-made chips.