Microsoft MAI-Image-2.5-Pro cuts PowerPoint costs by 84%
The update also reduced OneDrive latency by 25%.
Entities: Microsoft, Satya Nadella, Mustafa Suleyman
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360.3K
4 posts, first seen 5h ago
The update also reduced OneDrive latency by 25%.
Entities: Microsoft, Satya Nadella, Mustafa Suleyman
360.3K
4 posts, first seen 5h ago
Positive users praise Microsoft's MAI models for delivering concrete efficiency gains like 84% lower PowerPoint costs, while negative users call the results underwhelming and accuse the company of lagging in AI.
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@satyanadella I would rather openai / anthropic win to be honest, their products bring joy and happiness and productivity, everything you make stands in my way and i want it to disappear
@satyanadella brilliant material that everyone should read, thanks!
@mustafasuleyman @satyanadella Absolutely stunning job dear
@satyanadella Absolutely amazing job Microsoft
@satyanadella Open-source windows 12 then pussy, you won't.
As @satyanadella says, we're making great progress on shipping MAI models that are higher quality, faster and cheaper across MSFT. In PowerPoint, our image model cut costs 84% compared with GPT-Image-2. In OneDrive, it lifted save rates 26% and cut latency by ~25%. It's also the default model in Bing delivering great quality and performance. In Dragon Copilot, our transcription model now covers 58 languages and halves the error rate on multilingual clinical transcription. And of course the flights we have in motion on GitHub and Excel will no doubt be huge too! More details in the blog here: https://microsoft.ai/news/introducing-mai-image-2-5-pro-and-mai-voice-2-flash/
So Microsoft is routing its own products to cheaper in-house models whenever those models match frontier quality on a task. Microsoft AI (MAI) models reportedly beat general-purpose frontier models on many tasks while using a fraction of the tokens. The key is "Harness" again. Substitutability, not capability, is what is actually being engineered here. Harness, memory, context, and skills sit outside the weights by design, which turns the model into a replaceable component. “The other key criteria to ensure that you are in control, is your evals should continue to hill climb even when any given model has been removed.” Your AI product should keep improving even if you replace or remove one underlying model. Microsoft does not want Copilot’s performance to depend entirely on OpenAI, Anthropic, or any single MAI model. The lasting advantage should come from the whole system around the model: product-specific evaluations, memory, tools, context, workflows, and user feedback. Basically, looks l ike Microsoft is engineering a world where the model is the cheapest part to replace.
@satyanadella When are you making the Mai thinking model available though? You released the tech report June 8. Something up?
Positive users praise Microsoft's MAI models for delivering concrete efficiency gains like 84% lower PowerPoint costs, while negative users call the results underwhelming and accuse the company of lagging in AI.
Based on 79 visible X reactions from 158 accounts.
Ask a question below.
Published answers will appear here.