Ep 820: The Most Important AI Model You’ll Probably Never Use That Just Dropped
You've probably never heard of Inkling.
It's the newest (and first) model from Thinking Machines Labs, and it could very well be a small snowball that picks up major momentum in today's enterprise AI landscape.
If you haven’t heard of Thinking Machines, they’re led by Mira Murati, the former CTO at OpenAI.
The big bet with Inkling?
The future of AI could be using smaller models fine-tuned and optimized for smaller tasks.
Will it work?
Tune in live as we dive in.
The Most Important AI Model You’ll Probably Never Use That Just Dropped -- An Everyday AI Chat With Jordan Wilson
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More on this Episode: Episode Page
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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
Inkling AI Model Launch Overview
Thinking Machines Lab Leadership Highlight
Inkling's Multimodal and Agentic Capabilities
Open Source vs. Proprietary AI Models
Enterprise Procurement with American AI Models
AI Fine Tuning as a Service (Tinker)
Benchmark Scores: Inkling vs. Frontier Models
Customization and Model Shopping for Enterprises
AI Token Costs Driving Model Efficiency
Bridgewater Case Study: AI Model Customization
Frontier Models Enabling Efficient Fine-Tuning
Future Trends: Specialized Small Language Models
Timestamps:
00:00 Inkling: A new AI model release
05:43 Inkling AI model details
09:08 China's dominance in open source AI
11:48 Launch and model updates discussed
15:21 Concerns over using Chinese open-source models
19:06 Training smaller AI models
20:22 Using GPT for AI Model Training
23:54 Predicting Rise of Small Language Models
28:38 Choosing the right AI model
Keywords:
Inkling, Thinking Machines Lab, Meera Muradi, former OpenAI CTO, open source AI model, American AI model, fine tuning as a service, enterprise AI, multimodal AI, agentic models, customizable AI, Tinker, enterprise distribution, model procurement, Chinese open source models, strategic reset, model overhang, capabilities gap, AI model shopping, model routing, cost-conscious enterprises, artificial intelligence index, 975 billion parameter model, text-image-audio AI, open weights, proprietary AI models, customization accessibility, small language models, AI workflows, context window, Bridgewater use case, model distillation, GPU infrastructure, API costs, token efficiency, fine-tuned models, post training, AI competitive leverage, recurring financial judgment, AI benchmarks, middle tier models, automated model evaluation, privacy and workflow mapping, economical AI models, model rental, model routing automation.
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
It's the newest (and first) model from Thinking Machines Labs, and it could very well be a small snowball that picks up major momentum in today's enterprise AI landscape.
If you haven’t heard of Thinking Machines, they’re led by Mira Murati, the former CTO at OpenAI.
The big bet with Inkling?
The future of AI could be using smaller models fine-tuned and optimized for smaller tasks.
Will it work?
Tune in live as we dive in.
The Most Important AI Model You’ll Probably Never Use That Just Dropped -- An Everyday AI Chat With Jordan Wilson
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:
Inkling AI Model Launch Overview
Thinking Machines Lab Leadership Highlight
Inkling's Multimodal and Agentic Capabilities
Open Source vs. Proprietary AI Models
Enterprise Procurement with American AI Models
AI Fine Tuning as a Service (Tinker)
Benchmark Scores: Inkling vs. Frontier Models
Customization and Model Shopping for Enterprises
AI Token Costs Driving Model Efficiency
Bridgewater Case Study: AI Model Customization
Frontier Models Enabling Efficient Fine-Tuning
Future Trends: Specialized Small Language Models
Timestamps:
00:00 Inkling: A new AI model release
05:43 Inkling AI model details
09:08 China's dominance in open source AI
11:48 Launch and model updates discussed
15:21 Concerns over using Chinese open-source models
19:06 Training smaller AI models
20:22 Using GPT for AI Model Training
23:54 Predicting Rise of Small Language Models
28:38 Choosing the right AI model
Keywords:
Inkling, Thinking Machines Lab, Meera Muradi, former OpenAI CTO, open source AI model, American AI model, fine tuning as a service, enterprise AI, multimodal AI, agentic models, customizable AI, Tinker, enterprise distribution, model procurement, Chinese open source models, strategic reset, model overhang, capabilities gap, AI model shopping, model routing, cost-conscious enterprises, artificial intelligence index, 975 billion parameter model, text-image-audio AI, open weights, proprietary AI models, customization accessibility, small language models, AI workflows, context window, Bridgewater use case, model distillation, GPU infrastructure, API costs, token efficiency, fine-tuned models, post training, AI competitive leverage, recurring financial judgment, AI benchmarks, middle tier models, automated model evaluation, privacy and workflow mapping, economical AI models, model rental, model routing automation.
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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