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Description

I tested Thinking Machines Lab's Inkling live across branding, website creation, code reasoning, general knowledge, and an enterprise compliance scenario.

Inkling is an open-weights mixture-of-experts model with 975B total parameters and 41B active. But scale is not the real question. The useful question is whether the model can follow instructions, explain its reasoning, produce practical work, and identify risks that matter in real applications.

In this episode, you will see:

- A general-knowledge answer checked against visible sources

- A coffee brand and interactive website concept created without image references

- The generated website's strongest ideas and its readability failure

- Inkling rejecting a hackish coding shortcut in its own reasoning

- A realistic SaaS compliance-assistant test

- Why auditability and context quality matter for production AI

- My verdict on using Inkling for product work and agent stress testing

Learn more about Inkling:

- Inkling overview: https://thinkingmachines.ai/inkling/

- Official announcement: https://thinkingmachines.ai/news/introducing-inkling/

- Model card: https://thinkingmachines.ai/model-card/inkling/

Connect with the host, Paraskevi Kivroglou:

- LinkedIn: https://www.linkedin.com/in/paraskevi-kivroglou/

- AureliaEdge: https://www.theaureliaedge.com/

- Instagram: https://www.instagram.com/theaureliaedge/

Follow Tech Break by Friday:

- Website: https://www.techbreakbyfriday.com/

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Watch the full episode and subscribe to Tech Break by Friday. Leave your question in the comments for a future Q&A video.

## Chapters

00:00 Why Inkling matters

03:51 Architecture and benchmark tour

07:22 Tinker setup and controls

09:14 General-knowledge verification

10:52 Capella branding challenge

12:30 Website implementation and critique

21:58 Reasoning and code iteration

23:23 Instruction-following business case

25:21 Compliance critique and final verdict

27:40 Closing and viewer Q&A



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