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10 pillars · 1 updated this week
01↳ Silicon · ArchitectureUpdated Sep 8, 2026

In-memory computing: analog and digital compute-in-memory for AI inference

Tracks analog and digital compute-in-memory architectures that perform matrix operations directly in SRAM, DRAM, or resistive arrays, eliminating the energy cost of shuttling weights between memory and logic.

Edition1
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TODO-VERIFY[first timeline entry headline]TODO-VERIFY[second timeline entry headline]
02↳ Energy · StorageUpdated Sep 8, 2026

Carbon nanotubes in energy storage

Carbon nanotubes form percolating networks at sub-1% loadings, delivering 13-fold conductivity improvements over carbon black while enabling higher energy density and faster charging in lithium-ion batteries.

Edition1
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TODO-VERIFY[first timeline entry headline]TODO-VERIFY[second timeline entry headline]
03↳ Silicon · MaterialsUpdated Sep 8, 2026

Carbon nanotubes in computing: transistors, interconnects and the path beyond silicon CMOS

Carbon nanotube transistors show higher on-current and lower power-delay than silicon FinFETs, but require solving metallic-tube removal, contact resistance, and alignment challenges before foundry integration.

Edition1
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TODO-VERIFY[first timeline entry headline]TODO-VERIFY[second timeline entry headline]
04↳ AIUpdated Sep 6, 2026

HBM4 memory supply crunch

The HBM4 supply crunch stems from yield and qualification challenges rather than capacity limits, with producers showing divergent manufacturing maturity that creates structural allocation advantages.

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SK hynix reports Q2 2026 results with HBM4 mass shipmentsMicron discloses >$1B HBM4 revenue in fiscal Q3
05↳ Energy · GridUpdated May 12, 2026

The power wall

Data centers vs. the grid: where the next trillion AI watts actually come from. SMRs, gas peakers, behind-the-meter, and the slow violence of interconnect queues.

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Hyperscalers built nuclear deals nobody can finance.The interconnect queue, mapped.
06↳ AI · MemoryUpdated May 12, 2026

The AI memory bottleneck

The constraint that's quietly reshaping the trillion-dollar AI compute build-out: explained, tracked, and updated as it evolves. Six solution paths, four still unresolved.

Edition14
Sub-articles9
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Samsung's HBM3E qualification, finally.Why every AI training run is a packaging negotiation.
07↳ Policy · GeoUpdated May 11, 2026

Export controls & the new silicon geopolitics

The expanding chokepoints between the US, China, and the supply chain caught in the middle: license-by-license, with implementation reality vs. headline reality tracked.

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Commerce HBM3E rules: narrower than reportedThe HBM4 ambiguity, decoded
08↳ Security · AIUpdated May 9, 2026

The model-weight perimeter

Securing what's now the most valuable IP on the planet — and failing to. The technical, organizational, and legal infrastructure for keeping frontier model weights in (or out of) the wrong hands.

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RAND on weight exfiltration, two years laterConfidential compute: the H100 reality
09↳ Silicon · PackagingUpdated May 8, 2026

The advanced packaging race

CoWoS, EMIB, SoIC. Why the assembly line, not the fab, became the new bottleneck, and which packaging architectures will define the next decade.

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Inside TSMC's CoWoS expansion planIntel Foundry's first external customer
10↳ Cloud · InfraUpdated May 6, 2026

The post-cloud cloud

Neoclouds, sovereign clouds, and the unraveling of the AWS-GCP-Azure trio. Who's building the infrastructure layer for the next ten years, and where the margin pools are migrating.

Edition7
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Neoclouds lose money slower than expected.Sovereign cloud: the EU's bet
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