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The 4 Questions Startups Should Ask Themselves about Building with Generative AI

Tom Tunguz

There are 4 questions a startup should ask themselves about building a startup that uses generative AI. I started with a few sentences, uploaded them to gamma.app to outline the presentation, popped over to Midjourney to generate images along the story line, & published it in IA Presenter.

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Clouded Judgement 11.1.24 - Amazon, Google, Microsoft & Meta on AI and CapEx

Clouded Judgement

AI Commentary Some interesting AI commentary / stats I wanted to highlight from a couple earnings calls this week Microsoft on AI “We're excited that only 2.5 years in, our AI business is on track to surpass $10 billion of annual revenue run rate in Q2. ” No commentary on 2025 AWS CapEx Q3 CapEx: $22.6B

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Clouded Judgement 7.28.23 - Optimization Cycles and Economy Update

Clouded Judgement

AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Satya at Microsoft said “Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever.” AWS reports next week. So what did we learn?

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Clouded Judgement 2.3.23

Clouded Judgement

We have companies like BuzzFeed and C3 making loose announcements about how they will incorporate generative AI into their business, sending their stocks up 50-100%+. In the short term, enjoy the ride as the chase continues 😊 Kind of related to all of this - we now have seen the Q4’s from AWS, Azure and Google Cloud.

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Clouded Judgement 3.22.24 - ERR vs ARR and the Conundrum of AI Revenue Streams Today

Clouded Judgement

This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. And because the AI (particularly generative AI) space has so recently come on the scene, there aren’t a huge number of vendors!

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

The rise of foundation models and generative AI only furthers this trend. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Data Lakes have been a staple for a long time, storing both structured and unstructured data.

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AI Food Fights in the Enterprise

Andreessen Horowitz

[03:08] Data wars [04:28] Big vs. small LLMs [08:13] Fine-tuning [13:52] Open source AI [17:51] Benchmarks are b t [19:30] Why Ali isn’t afraid of AI Why is it so hard for enterprise to adopt AI? Ben: Going to generative AI, 1 of the things that’s been interesting for us as a VC, is we see all kinds of companies.

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