AI Briefing — Monday, September 28, 2026

Anthropic’s CEO is about to have dinner with President Trump

This will be the first one-on-one meeting between Dario Amodei and Donald Trump

Can Muse overcome Meta’s trust issues?

On Equity, we discussed how Meta's AI announcement managed to steal the spotlight from OpenAI and Anthropic.

Imp is a full port of DSPy to the BEAM

https://hex.pm/packages/imp https://dspy.ai/current/

Anthropic’s Dario Amodei gets the SNL treatment

"AI is the devil and I its maker."

Google tests buying from Walmart-owned Flipkart through Gemini and AI Mode in India

The limited test covers select products and users, with a broader rollout planned for later in October.

Insurers claim AI is already increasing healthcare costs

Blue Cross Blue Shield says hospital use of AI tools led to an additional $942M in healthcare spending over a two-year period.

I created an interactive digital avatar of myself — and you can talk to it

After obtaining an interactive avatar and training it to discuss venture fraud, I have mixed feelings about making AI clones of ourselves.

Crusoe abandons $1.25B plan to use Boom turbines at AI data centers

Boom Supersonic CEO Blake Scholl said the company's new stationary power plants were no longer in Crusoe's near-term plans.

Proaction boosts sales 60% and saves 75+ hours with Codex

With Codex, GPT-Live-1, and GPT-6 Astra, Proaction builds, operates, and sells modern fleet management faster.

How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows

Accelerating vision-language models with LFM2.5-VL-DSpark

How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows

How UK AISI and EvalEval Are Making Benchmark Results Reproducible

Transformers now runs llama.cpp quants

Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community

Towards Understanding LLM-Based Log Anomaly Detection: An Empirical Study of Performance, Efficiency, and Robustness

Large language models (LLMs) have demonstrated promising performance in log anomaly detection, yet how their adaptation strategies, architectures, and deployment configurations affect detection effectiveness remains ins…