
Samsung 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
THE SO WHAT
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.
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MORE FROM THE WIRE
Mark Zuckerberg said that AI agent progress has been slower than expected in an internal town hall
When Meta says AI agent progress is slower than expected and makes AI training opt-in after a data leak, it’s a reality check on both capability timelines and data sourcing. If your roadmap assumes near-term superintelligence or frictionless data access, shorten the promise and lengthen the runway.
Applied AIRead the Tense Emails Between the Pentagon (Former Uber Exec) and Anthropic (Dario Amodei)
Tense emails between the Pentagon and an AI lab moving into the public record show how quickly commercial AI work can become part of national security negotiations. If you’re selling advanced models or infra, treat government engagement as a governance problem as much as a sales channel.
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.”