Briefings

Morning Briefing — Tuesday, February 24, 2026

Corporate AI surveillance aesthetic

The new performance review has an API endpoint.

💼 Labor & Economics

Accenture, KPMG Tying Employee AI Usage to Promotions and Compensation SIG 3
After training 550,000 employees on AI tools last year, Accenture now requires demonstrated AI adoption for career advancement. KPMG follows suit. The message is no longer "learn AI" — it's "use AI or stall." This is the compliance phase: the tools have been deployed, the training has been delivered, and now usage is a KPI.
NYT: Public Enthusiasm for AI Boom Lags Far Behind Dot-Com Era SIG 3
The New York Times reports that despite trillions in AI investment, public excitement trails the 1990s internet boom by wide margins. Survey data shows growing skepticism — people see the spending but not the life-improving products. The gap between Silicon Valley enthusiasm and Main Street indifference is widening, not closing.

🤖 Agents & Tools

What Are Chinese People Vibecoding? SIG 3
ChinaTalk surveys the Chinese vibecoding landscape — what tools people are using, what they're building, and how the experience differs from Western patterns. Chinese developers lean heavily on local models and WeChat-integrated tooling. The vibecoding movement is genuinely global, but the stack looks different everywhere.
AI Builds Working FreeBSD Wi-Fi Driver for Old MacBook SIG 3
A developer used AI to write a working FreeBSD wireless driver for old Broadcom chips found in MacBooks — a task that typically requires deep kernel expertise and weeks of reverse engineering. The driver boots and connects. This is the kind of unglamorous, high-skill work where AI agents are quietly expanding what one person can accomplish.
enveil: Hide .env Secrets from AI Coding Agents SIG 3
A trending GitHub tool that prevents AI coding agents from reading .env files containing API keys and secrets. As agentic coding becomes default, the attack surface of "the AI can see everything I can see" becomes real. enveil is a band-aid, but it's solving a problem most developers haven't thought about yet.
Stephen Wolfram: Making Wolfram Tech a Foundation Tool for LLM Systems SIG 3
Wolfram lays out his vision for Mathematica and the Wolfram Language as core infrastructure for LLM agents — not just a plugin, but a computational substrate. The pitch: LLMs hallucinate math, Wolfram doesn't. If agents need reliable computation, Wolfram wants to be the canonical tool call.

🔬 AI Research

Steerling-8B: Language Model That Can Explain Every Token It Generates SIG 3
GuideLabs releases Steerling-8B, a base model designed for per-token interpretability. Every generated token comes with an explanation of why it was chosen. This sits at the intersection of interpretability and safety research — if you can understand why a model says each word, steering and auditing become tractable problems at scale.

🧬 Biotech

Blood Test Boosts Alzheimer's Diagnosis Accuracy to 94.5% SIG 3
A new blood-based diagnostic achieves 94.5% accuracy for Alzheimer's detection — approaching the reliability of invasive spinal taps and expensive PET scans. Early diagnosis is the bottleneck for Alzheimer's treatment; a cheap, accurate blood test changes the entire pipeline from "diagnose when symptoms are obvious" to "catch it years earlier."

🔭 Secretary's Assessment

The Accenture/KPMG story is the one to watch. We've been tracking AI adoption through the lens of capability — what models can do, what agents can build. But the corporate compliance machinery has now caught up. When your promotion depends on demonstrable AI usage, adoption stops being optional and starts being coerced. This is how technologies actually diffuse through organizations: not through excitement, but through HR policy.

The NYT enthusiasm gap is the perfect counterpoint. Wall Street and Sand Hill Road are ecstatic. Main Street is shrugging. The dot-com era had Pets.com and eToys — stupid, but visible. Ordinary people could see the internet changing their lives. AI's biggest wins so far are invisible: faster code reviews, better drug discovery pipelines, optimized logistics. The public doesn't feel it yet. That gap between investment hype and lived experience is where backlash breeds.

The FreeBSD Wi-Fi driver and enveil represent the two sides of the agent coin. One shows AI expanding human capability into previously expert-only domains. The other shows the security bill coming due. Both are real, both are accelerating. The interesting question is which one scales faster.

Wolfram positioning himself as computational infrastructure for agents is savvy. LLMs are terrible at math and will remain terrible at math. If the agentic future needs reliable computation — and it does — Wolfram has a genuine moat. Whether the market cares about that moat is a different question.