
Anthropic's Claude to help Micron design better HBM, DRAM, and SSD for AI even as both companies refuse to address computational storage directly
THE SO WHAT
AI co-design is moving down-stack—using Claude to help architect HBM, DRAM, and SSD for AI workloads tightens the feedback loop between models and memory. If you build AI-heavy systems, expect storage and memory roadmaps to become more specialized and less interchangeable, and negotiate accordingly.
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Applied AISamsung is plotting to replace your M.2 SSD with a storage chip smaller than a fingernail to improve battery life and supercharge ondevice AI inference
Shrinking storage below M.2 with better power efficiency is about one thing—making room and thermal headroom for more on-device AI compute. If your product roadmap assumes “AI = cloud,” revisit it; the hardware stack is moving toward dense, low-power local inference as a first-class design target.
Applied AIAt a town hall, Mark Zuckerberg said Meta's AI agent development has not accelerated as expected and its reorganization was not as "clean" as it could have been
When one of the most resourced players says AI agent development is slower than hoped and reorgs are messy, that’s a reality check on how hard orchestration and productization really are. If your board expects fully agentic workflows this year, reset expectations and focus on narrow, high-ROI agent use cases you can actually ship and govern.
Applied AIChina’s Surreal AI-Generated Anti-Drug Ad Accidentally Made Drugs Look Cool
Automated creative without tight human review is now a brand and policy risk—an AI-generated anti-drug ad that glamorizes drugs is the failure mode in public. Any organization using generative tools for sensitive messaging needs explicit negative constraints, human veto power, and pre-launch testing, not just “AI for speed.”
The greatest asset that a CMO has is trust, says Snowflake's Denise Persson
CMOs are being asked to rewire their operating models around AI while not eroding the one asset that matters—trust with customers and internal stakeholders. If you own marketing, your AI plan has to be as much about governance, disclosure, and data boundaries as it is about personalization and content velocity.