Bank of America now expects three Fed rate hikes in 2026 with 25bps increases in September, October and December taking rates to 4.50%.
The bank also doesn't expect cuts until 2028 while Polymarket now gives a 61% chance of at least one Fed hike next year.
NVIDIA's Vera Rubin platform is bringing world-class supercomputing power to scientific discovery, combining native FP64 performance, NVIDIA CUDA-X libraries, and the full-stack capabilities of the NVIDIA AI platform.
Built for the era of AI agents, Vera Rubin NVL4 brings supercomputing performance into a single rack for climate modeling, computational fluid dynamics, energy exploration and more. Adopted by global system manufacturers and leading research centers, Vera Rubin NVL4 is expanding the reach of scientific computing with agentic AI.
Read the press release → https://t.co/f4Yjsfux5z
#NVIDIAVeraRubin #ISC26
I think GLM 5.2 is the first real “oh shit” moment for frontier AI labs from the open model world.
Not because it’s better than Opus or GPT.
It’s not.
But because, for the first time, I used a public open model across different real tasks and didn’t immediately feel the gap.
That’s new.
I’ve been very skeptical of open models. Most of them feel impressive in demos and disappointing in actual work. Good for benchmarks. Weak in messy tasks.
GLM 5.2 didn’t feel like that.
After a few hours with it, my honest reaction is:
This is the closest thing I’ve seen to a ChatGPT moment for open/public models.
The economics are still not trivial. Proper inference may require something like 8 Nvidia H200s, around $400K to buy or $20K/month to rent.
But compare that to enterprises paying millions a month to closed labs.
Suddenly, open models are not a hobbyist narrative.
They are a CFO conversation.