Anis Radianis

[Anis Radianis @ARadianis]

I'm heading to #HumanX Amsterdam next week 👋

Who else is going? If you'll be there, let's connect.

👉 https://t.co/tSUSPCVld6

[Anis Radianis @ARadianis]

I just published Introducing ‘Learn-by-Wire’ https://t.co/FHZPJNPfCk

[Anis Radianis @ARadianis]

Read “From Loss Curves to Control Rooms“ by Anis Radianis on Medium: https://t.co/UWewfS5VHT

[Anis Radianis @ARadianis]

Read “Stress in AI Training Is the Missing Benchmark“ by Anis Radianis on Medium: https://t.co/HuTi84ADjj

[Anis Radianis @ARadianis]

Read “AI on The Run Is the Product�� by Anis Radianis on Medium: https://t.co/6OPQpAmGhx

[Anis Radianis @ARadianis]

Read “Recovery Is the Real Test of AI Training“ by Anis Radianis on Medium: https://t.co/jpQGGiyccA

[Anis Radianis @ARadianis]

Read “Trainability Is the Next AI Frontier“ by Anis Radianis on Medium: https://t.co/DTMphisBwH

[Anis Radianis @ARadianis]

LBW-Guard: Saving Your Compute Budget from Training Chaos https://t.co/5k8HbNx8c3
/news/lbw-guard-saving-your-compute-budget-from-training-chaos-ze1i

[Anis Radianis @ARadianis]

My paper "Learn-by-Wire Training Control Governance: Bounded Autonomous Training Under Stress for Stability and Efficiency" ranked #121 in Artificial Intelligence Preprints (Week 21, 2026) on @kurateorg!

https://t.co/tY0Vl4EmZx

[Anis Radianis @ARadianis]

Learn-by-Wire Training Control Governance: Bounded Autonomous Training Under Stress for Stability and Efficiency — Oracle verdict via CopeCheck https://t.co/IdFaLnsd6t

[Anis Radianis @ARadianis]

https://t.co/v0b96l4cNr

[Anis Radianis @ARadianis]

https://t.co/D8W9JAj5S5

[Anis Radianis @ARadianis]

https://t.co/0RyRoXunV4

[Anis Radianis @ARadianis]

LBW-Guard: Saving Your Compute Budget from Training Chaos https://t.co/9wHY7bJPRK

[Anis Radianis @ARadianis]

How LBW-Guard Is Taming Language Model Chaos https://t.co/AQKDovooUS

[Anis Radianis @ARadianis]

Read the paper:
https://t.co/jBPXazXqWr
https://t.co/doYzZMyR7h

If you're running pre-training or continued pre-training and stability is a concern, reach out — we're offering free pilots.

Retweet if you think this matters for you. 🙏

[Anis Radianis @ARadianis]

AdamW at LR=3e-3 → 1885 perplexity.
LBW-Guard at the same LR → 11.57.

That's not tuning. That's the difference between a dead run and a productive one.

We just published LBW-Guard. Here's what it is and why it works.

[Anis Radianis @ARadianis]

Try it in 10 seconds:

pip install lbw-guard

Or run it on @huggingface Spaces (no GPU needed for the demo):
→ https://t.co/qZ6tDiGnyp

Colab notebook:
→ https://t.co/KeB29vUjGG

If you run it on your model, reply with your before/after perplexity. We'll repost results.