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CTS Field Notes

Assorted Links

Assorted Links — August 24, 2026

Eleven worthwhile links on CMMC, scientific error correction, AI productivity, long-running agents, brain organoids, source-code security, remote work, and ladder-proof knitting.

CMMC Phase II is suspended. CMMC is not cancelled.

The Department of War suspended the Phase II requirements scheduled for November, but Phase I self-assessments and applicable NIST SP 800-171 obligations remain. Defense contractors should adjust the certification calendar without slowing the security work already required.

Executives expect AI gains they generally cannot measure yet

Nine in ten surveyed executives reported no measurable employment or productivity effect from AI at their firms during the previous three years, even as they expect future gains. Before expanding an initiative, define the specific change in time, throughput, quality, revenue, or cost that would prove it works.

What the 1996 data missed about the technology boom

Later revisions raised estimated annual productivity growth for 1989–1995 from 0.89% to 1.51%, showing how incomplete real-time measurements can be. Businesses should measure local operating results rather than treating today’s weak economy-wide numbers—or optimistic headlines—as the final verdict on AI.

A seven-day agent improved GPU kernels

NVIDIA reports that its AVO system explored more than 500 optimization directions over seven days and produced kernels that beat FlashAttention-4 on evaluated NVIDIA hardware. The transferable lesson is that memory, supervision, tools, checkpoints, and recovery can matter as much as the underlying model in long-running agent work.

Google is using agentic workflows for deep source-code review

Mandiant describes an expert-guided system that chains specialized agents through source-code security reviews. Its architecture is more useful than the headline results: AI security work still needs asset context, threat models, skeptical human validation, and a clear path from findings to remediation.

AI narrowed an education-based performance gap in an experiment

In a workplace-style task involving 1,174 adults, generative AI closed about three-quarters of the initial performance gap between education groups. The study did not classify employees by performance tier, but it suggests employers can test whether AI helps more people reach a useful standard while continuing to measure independent judgment and verification.

Remote-work capabilities may make AI adoption easier

A working paper links remote-work adoption with technical and managerial capabilities associated with later generative-AI adoption. The useful question is whether an organization already has the documentation, digital workflows, coordination habits, and implementation skills to absorb another operational change; AI will expose weak foundations rather than repair them.

AI agents are finding old mistakes in scientific references

AI systems are checking papers and reference databases for errors that survived years of human use. The same quiet quality-control pattern could be valuable in business catalogs, documentation, pricing tables, configurations, and other institutional data people have stopped questioning.

More than 50 studies may have used the wrong antibody

Dozens of cell-ageing studies apparently relied on an antibody that identified the wrong target, allowing one small input error to contaminate downstream work. Whether the shared input is a reagent, software template, or standard configuration, reuse makes early validation more important.

Brain organoids have kept developing for more than five years

Researchers have maintained laboratory organoids that mirror aspects of human brain development longer than previous models. They are not brains in dishes; they are longer experimental clocks that may reveal later-developing neurological changes shorter-lived systems cannot reach.

Mathematics can make knitting resistant to laddering

Researchers used knot theory to classify which textile patterns can be knitted or crocheted and whether defects will make them unravel. It is an elegant technology lesson in designing resilience into a structure rather than adding protection afterward—and apparently a formal proof can improve a sweater.