Been experimenting a lot with AI coding tools (Lovable, Cursor, etc.) and had a bit of a realization. While code generation saves time, the more profound shift might be using LLMs as functional components within our code.
Plunging inference costs make it viable to replace chunks of complex, brittl
Plunging inference costs make it viable to replace chunks of complex, brittl
Beyond Code Generation: Using Large Language Models Inside Your Functions
The real unlock isn’t just generating code—it’s replacing entire functions with AI-powered intelligence
open.substack.com
April 21, 2025 at 2:00 PM
Been experimenting a lot with AI coding tools (Lovable, Cursor, etc.) and had a bit of a realization. While code generation saves time, the more profound shift might be using LLMs as functional components within our code.
Plunging inference costs make it viable to replace chunks of complex, brittl
Plunging inference costs make it viable to replace chunks of complex, brittl
Selling to large enterprises can feel like chasing Moby Dick—uncertain, risky, and potentially game-changing.
I've navigated enterprise sales at RPX, ZestyAI, and Paxton, and each experience reinforced Marc Andreessen's brilliant insight from his essay, "The Moby Dick Theory of Big Companies": L
I've navigated enterprise sales at RPX, ZestyAI, and Paxton, and each experience reinforced Marc Andreessen's brilliant insight from his essay, "The Moby Dick Theory of Big Companies": L
The Moby Dick Theory of Big Companies
Examining Marc Andreessen's classic essay on when startups need to interact with a larger firm
pioneeringthoughts.substack.com
April 14, 2025 at 2:00 PM
Selling to large enterprises can feel like chasing Moby Dick—uncertain, risky, and potentially game-changing.
I've navigated enterprise sales at RPX, ZestyAI, and Paxton, and each experience reinforced Marc Andreessen's brilliant insight from his essay, "The Moby Dick Theory of Big Companies": L
I've navigated enterprise sales at RPX, ZestyAI, and Paxton, and each experience reinforced Marc Andreessen's brilliant insight from his essay, "The Moby Dick Theory of Big Companies": L
Reposted by Mike Ulin
Just published a new blog post on DeepSeek—the buzzy open-source AI project that’s been making waves (and headlines) lately. But is it really the groundbreaking innovation everyone says it is?
pioneeringthoughts.substack.com/p/theres-mor...
pioneeringthoughts.substack.com/p/theres-mor...
There’s More to DeepSeek Than You Think
Is DeepSeek Actually a Technological Breakthrough—or Just on the Standard Cost Curve?
pioneeringthoughts.substack.com
February 3, 2025 at 2:32 PM
Just published a new blog post on DeepSeek—the buzzy open-source AI project that’s been making waves (and headlines) lately. But is it really the groundbreaking innovation everyone says it is?
pioneeringthoughts.substack.com/p/theres-mor...
pioneeringthoughts.substack.com/p/theres-mor...
Just published a new blog post on DeepSeek—the buzzy open-source AI project that’s been making waves (and headlines) lately. But is it really the groundbreaking innovation everyone says it is?
pioneeringthoughts.substack.com/p/theres-mor...
pioneeringthoughts.substack.com/p/theres-mor...
There’s More to DeepSeek Than You Think
Is DeepSeek Actually a Technological Breakthrough—or Just on the Standard Cost Curve?
pioneeringthoughts.substack.com
February 3, 2025 at 2:32 PM
Just published a new blog post on DeepSeek—the buzzy open-source AI project that’s been making waves (and headlines) lately. But is it really the groundbreaking innovation everyone says it is?
pioneeringthoughts.substack.com/p/theres-mor...
pioneeringthoughts.substack.com/p/theres-mor...
Open source LLMs are getting really interesting- Mosaic just released models with a 65k context window :) https://www.mosaicml.com/blog/mpt-7b
Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs
Introducing MPT-7B, the latest entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention at a cost of ~$200k. Starting today, you can train, finetune, and deploy your own private MPT models, either starting from one of our checkpoints or training from scratch. For inspiration, we are also releasing three finetuned models in addition to the base MPT-7B: MPT-7B-Instruct, MPT-7B-Chat, and MPT-7B-StoryWriter-65k+, the last of which uses a context length of 65k tokens!
www.mosaicml.com
May 7, 2023 at 2:09 PM
Open source LLMs are getting really interesting- Mosaic just released models with a 65k context window :) https://www.mosaicml.com/blog/mpt-7b