Pan‑EU Deepfake Ecosystem Enables Three‑Click Attacks on Women MPs

“Three clicks” can be enough: how a pan‑EU deepfake ecosystem is targeting women politicians According to Benjamin Shultz’s analysis, as summarized by WIRED (Matt Burgess, Sep 14, 2026), researchers examined around 160 domains that host or facilitate nonconsensual sexual content and deepfake tools. Shultz compiled more than 5, 800 national members of parliament from all […]
Pacing the AI frontier: a signal, not a strategy — what executives must do now

CEOs say we must “pace the frontier.” The pledge is a signal, not a strategy. Some researchers at Anthropic recently raised stark warnings about long‑term risk, and Anthropic CEO Dario Amodei followed with a public proposal titled “We Must Pace the Frontier.” Senior leaders at several major AI firms quickly endorsed the idea: OpenAI’s Sam […]
AI pause by industry leaders triggers market repricing — how executives should respond

When AI leaders call for a pause, markets reprice the bet After Anthropic CEO Dario Amodei publicly urged industry leaders to “pace the frontier” of AI development, several Asian stocks with heavy AI exposure fell sharply and traders re‑evaluated speculative bets tied to private AI firms. Market data showed South Korea’s KOSPI down about 3.7%, […]
Compact JAX NeRF: Hierarchical Coarse→Fine Rendering, Mesh Extraction and 360° Preview

A compact JAX NeRF you can run and learn from A compact JAX/Flax NeRF that renders novel views, produces a 360° GIF, and extracts a mesh, all from a tiny synthetic dataset, is a practical template for teams prototyping view synthesis and geometry extraction. The notebook implements a full hierarchical NeRF pipeline in JAX + […]
Embedded auditors and pacing: what Amodei’s frontier AI proposal means for business leaders

The proposal: embedded auditors, a pace limit, and talk with rivals Anthropic CEO Dario Amodei published a three‑point proposal this weekend that put the problem bluntly: frontier AI is moving fast, and some form of collective braking is needed. His core asks were simple on their face: Grant ongoing access to embedded third‑party evaluators, independent […]
Recurrent Looped Transformer (RLT): Decoder-state forwarding, RL replay, and serving trade-offs for product teams

TL;DR, Why RLT matters to product and engineering leaders RLT (Recurrent Looped Transformer) is a design proposal from Yifan Zhang (Princeton). It forwards a full decoder state token-to-token, including layerwise attention caches, and pairs a token-parallel causal encoder with a recurrent decoder. The reference configuration ties encoder and decoder weights at 48 layers each (L_E […]
AI Safety: Embedded Independent Evaluators, Antitrust Risks, and a C-Suite Playbook

Sept. 12-13, 2023: How a staged safety plan became a debate about incentives On Sept. 12 Anthropic CEO Dario Amodei published an essay titled “We Must Pace the Frontier, ” which proposed a staged approach to slow how quickly frontier AI capabilities improve while expanding independent safety testing and oversight. The next day Solana co‑founder […]
GPU-Accelerated scikit-learn Workflows with cuML.accel: Zero-Code Guide, Benchmarks, and Checklist

A practical path to GPU-accelerated scikit-learn flows (without rewriting your code) GPU acceleration is no longer a research curiosity. If you keep the right data on the device and avoid needless host round-trips, familiar scikit-learn patterns can move from long waits to short waits. The tutorial that inspired this piece demonstrates those moves end-to-end with […]
Context Engineering for AI Agents: 4 Harness Mechanisms to Prevent Context Overflow and Goal Drift

Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks Long-horizon agents usually fail for the same reason systems do: the surrounding engineering loses track of what matters, not because the model suddenly isn’t clever. The harness is the orchestration layer that controls what the model sees, when […]
Cognition SWE‑2 claims Fable parity at 64% lower inference cost — weights closed, runs only in Devin

Cognition says SWE‑2 matches top coding models at 64% lower inference cost, but you can’t run it yourself (Cognition, summarized by MarkTechPost, Sept 12, 2026) Cognition reports that SWE‑2, a coding model post‑trained with reinforcement‑learning from Moonshot AI’s open Kimi K3 (2.8 trillion parameters), scores 50.0% on FrontierCode 1.1 Main, within one point of Fable […]