448 summarised stories in Hardware & Infrastructure, each linking back to the original source. Browse all topics →
TechCrunch 5 days ago 4
SpaceX confirmed that a secret foundry it is building in Bastrop, Texas will cast gas-turbine blades and vanes to speed up AI data-center power delivery. It aims to accelerate turbine production by up to 18 months. As a result, faster rollout of gas turbines comes alongside renewed pollution and health lawsuits and studies tied to turbine emissions.
The Neuron 5 days ago 4 ● 3 sources
Anthropic and HHMI Janelia opened a research preview of a Model Hardware Standard (MHS) to let AI agents use programmable lab and factory equipment via a shared read/write interface with safety tags. One early partner demo using MHS recovered a quantum laser’s lock in 695 of 700 trials. If adopted, it should cut the time to integrate agent software with physical hardware from weeks or months down to hours or minutes, enabling more automated experiments.
SiliconANGLE 5 days ago 2
The article argues that most AI startups prioritize speed to ship and learn, building on existing tools rather than optimizing infrastructure until later growth pressures appear. It says infrastructure constraints often become unavoidable by Series A. It recommends preserving architectural optionality—avoiding deep proprietary vendor lock-in and planning for portability—so later cost, latency, and edge/edge-like deployment demands can be met without starting over.
The Verge 5 days ago 47
The five-day World Humanoid Robot Games in Beijing showcased humanoid robots in events that included visible failures. Honor’s robot lost a leg mid-sprint during the August 26, 2026 competitions. The coverage shifts attention to how far robots have come while also underscoring how often they still stumble under real running and contact routines.
MarkTechPost 5 days ago 50 ● 4 sources
Anthropic opened a research preview of the Model Hardware Standard (MHS), a shared specification that lets AI agents discover and operate physical devices via a standardized driver instead of bespoke translators. MHS reduced a Carnegie Mellon liquid-handling dose-response workflow from several weeks to about eight hours to produce a completed curve. As a result, device integration time drops to hours or minutes and safety limits can be enforced through the driver across model-agnostic, MCP-compatible setups.
Exponential View 6 days ago 50
The article argues that unbounded recursive self-improvement is mathematically possible but practically constrained by factors like generation time and physical limits affecting iteration speed and compute. It cites an OpenAI chip called Jalapeño that was built in about 16 months and reported to deliver 1.5–1.9x higher tokens-per-megawatt peak throughput than comparable Nvidia silicon. As a result, the piece shifts focus from endless RSI to faster, segmented progress across open models and more specialized AI hardware rather than expecting infinite acceleration in AI capabilities.
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5 September 2026
Anthropic’s latest Claude-assisted math sprint made a very un–AI thing look almost routine: turning Andrew Wiles’ proof of Fermat’s Last Theorem into computer-verifiable Lean code. Claude helped formalize the argument as a single Lean file weighing in at about 13 million lines, completed in 11 days. In practical terms, it replaces “trust me” with a proof that other machines can check line by line, cutting down the human error risk that comes with reading long, intricate reasoning and making the result far easier to share and audit.
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