Microsoft Diversifies Its AI Bet
Branching out is sometimes key
Deployed's enterprise AI reporting on Microsoft.
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Branching out is sometimes key
While Alphabet and AWS double down on data centre ownership, Microsoft is mitigating risk
Customers asked for more, but sometimes the smart move is to say no
These projects promise growth, but water use, grid strain, and modest employment raise questions
MAI-1-preview and MAI-Voice-1 mark a correction after years of dependence on OpenAI
Today, the Top 100 AI Engineers in the USA span academics driving research, founders pushing frontiers, big tech leaders scaling systems, and practitioners applying AI responsibly across industries.
Hats off to Arora.
What AWS is for metro areas, we want to be for the rest of the world.
The product lives on, split between two futures: one inside Google, and one trying to rebuild from what’s left.
We don’t run hobby projects.
Email is the main communication tool for billions of people worldwide and the number-one use case for Grammarly customers.
Trustifi takes a different path by automating email security
This could help Salesforce close competitive gaps with other large platform providers.
AI's superpower as he mentioned is to provide man assistance with "infinite patience" that doesn't judge, always provides an answer, and accepts correction
If the deal closes, it would give Databricks direct ownership of a modern, AI-aligned transactional database and further deepen its infrastructure stack.
Listen Labs is betting that large language models can finally make listening scalable.
Neo is more similar to what Y Combinator was in the first place.
Especially in a field that is as security conscious as we are, no code would ever get released without significant human review.
Figma is officially moving on.
Most patent work is being done inside Word, email, and PDF preview. There are a lot of inefficient and poor-quality workflows.