">Be Your Evolution AI News Daily | Jason Ead

Be Your Evolution AI News Daily examines artificial intelligence, open-source technology, productivity, and society through the lens of real-world usefulness.

WORTH YOUR TIME? Every story gets a clear 1–5 rating so you can focus on what matters and safely skip the rest.

BE YOUR EVOLUTION

FEATURED STORY • November 11, 2026

Ripple-65B Preview: The $32M Dense Model That Beat 500B+ MoE Giants on Agentic Coding

A 65B dense Transformer trained from scratch for $32M just claimed US open-weight SOTA on Terminal-Bench 2.1, beating MoE models 8-15x its size. Here's how Ricursive Intelligence did it —…

01

TODAY'S VERDICTS

Five decisions. No filler.

HOW BE YOUR EVOLUTION AI NEWS DAILY GRADES THE NEWS

Is it worth your time?

Every story is scored by its practical value—not its hype. The rating tells you whether to act now, investigate, wait, or move on.

  1. 5/5Do Not MissAct, test, learn, or pay attention now.
  2. 4/5Strong LookWorth investigating soon.
  3. 3/5SituationalUseful for the right workflow or audience.
  4. 2/5Low PriorityWatch rather than act.
  5. 1/5Skip ItPoor value, redundant, or too niche.
02

TODAY'S ATTENTION PLAN

The practical conclusion after grading this edition.

BEST USE OF YOUR TIME TODAY

Open OpenRouter, select ricursiveai/ripple-65b-preview, and ask it to implement a small feature in your current repo — watch a 65B dense model reason, edit, and test in a terminal loop.

Compare the experience to your current cloud agent.

The highest-leverage action from today's stories.

SAFE TO SKIP

The BF16 130 GB weights unless you're doing continued pre-training or ablation research — the NVFP4 33 GB is validated for inference.

The DFlash2 drafter unless you're optimizing speculative decoding throughput.

The story or trend that does not deserve your attention today.

THE BOTTOM LINE

Ripple-65B Preview rewrites the open-weight cost/performance frontier.

A 5-person team, $32M, 65B dense parameters, and US SOTA on agentic coding proves that laddering, co-design, and RL efficiency beat brute-force MoE scaling. The frontier just got accessible — build something with it.

The one decision to carry forward from this edition.