Sitemap - 2023 - Supervised
32 wild guesses for what happens in AI in 2024
Will AI finally take real-time data mainstream?
The market for open source models is coming together
A classic data problem is taking hold as AI gets ready for production
Google's weird Gemini launch and the framework abstraction dilemma
AI in November: Embeddings take off and consumption models bounce back
29 startups in AI I'm watching closely after OpenAI's meltdown
Satya Nadella is, once again, altering the trajectory of AI
With Sam Altman out, where does OpenAI go from here?
How Notion is tackling one of AI's biggest looming problems
Is OpenAI about to replace a bunch of startups? It's complicated
OpenAI clears out some developer debt
OpenAI clears out some developer debt
Snowflake plunges into AI and OpenAI faces a new embedding challenger
The embedding model market is heating up
How AI could change the work of data engineers
The frenzied cash burn in AI is starting to look pretty familiar
AI in September: Reasoning engines, OpenAI goes consumer, and the data quality dilemma
AI is finally granting Mark Zuckerberg's wish
The data stack sprawl clears the way for Databricks
Ad-hoc promotions and "AI for Everyone"
Pocket falcons and a quantized future
AI in August: Dwindling hype, unexpected uses, model gardens, and sprawling stacks
OpenAI's business model starts to take shape
MapReduce, TensorFlow, Vertex: Google's bet to avoid repeating history in AI
Greedy models and Nvidia's open source blind spot
Hugging Face's next act: growing into a $4.5B valuation
A clever way to sidestep some of AI's biggest issues is on the rise
Rethinking how we define the new "iPhone moment"
An AI investor dilemma on the horizon
Model evaluation and the human on the other side
Model shelf life and the AI ouroboros
AI model reliability and the open source opportunity
Web crawlers and precision data sets
DataDog's data scientist experiment and Postgres' forward march
License tweaks and "open source" in AI
AI in July: OpenAI caves to developers, RAG in focus, agents pick up steam, and Llama 2
What the suits said about AI this quarter
Context windows and GPT-4's response quality
The open source learning curve for AI researchers
(No) one foundation model to rule them all
Turbulence in the AI honeymoon period
An AI model deprecation dilemma
Language models and the future of the semantic analyst
Databricks scoops up more of the new AI data stack
Databricks and Snowflake's rivalry in AI enters a new chapter
MongoDB enters the race to power AI
The bigger the (sometimes) better
Research as recruiting and Meta's hardware constraints
The race for open source language models is heating up
OpenAI's push to own embedding models
How salaries are keeping up with the generative AI hype cycle
How the GPU crunch is forcing the AI developers to adapt
Agent-based workflows and waterfall effects
Reading the tea leaves for Apple's AI plans
Falcon, LLaMA, and the new scoring craze
Nvidia, foundation models, and the future long tail
What Neeva's quiet exit tells us about the future of AI startups
Apple's chance to remake AI development
The first round of AI chip startups is hitting a snag as Meta and others embrace Nvidia
OpenAI's CEO wants AI regulated. The tech is still evolving too fast to even define what AI is.
The most popular technique in AI is hitting a wall. What comes next?
Parrots, Geckos, and Frameworks as a Business
The second act of the pre-GPT AI hype train
Google's open source panic and AI's expiring rookie contracts
The mad dash for the new AI data stack