Nicolay Gerold

@nicolaygerold

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The way to avoid it is to aim for what Wes calls the minimum viable backstory . Ask yourself: What’s the minimum backstory necessary to set the context, so we can spend time on the important stuff?

As she says:

You’ll have to fight your urge to over-explain. You may think your audience needs to know all the details upfront. They don’t. You’d be

Jaryd Hermann • 🌱 5-Bit Fridays: Stop wasting time with backstory, the one thing PMs must do daily, shipping is just the beginning, who owns the context, and why you should test with...

Backstory = waffle. It’s the sidebars, tangents, preamble, and background info that’s hardly related to your main point. Context = relevant info to what you want to talk about. It’s part if your actual story.

I went to a ClickHouse meetup here in Dubai.

Never used the tool, but I'm happy to learn.

ClickHouse is:

- a database

- built for analytics

- open source

Furthermore, it:

- can be run on a single node or in a cluster

- stores data in columnar format

- uses both "vectorized query execution" and "runtime code generation" to maximize CPU usage

In the meetup,... See more

Paul Venuto • feed updates

Powerful AI systems can help us interpret the neurons of weaker AI systems. And those interpretability insights often tell us a bit about how models work. And when they tell us how models work, they often suggest ways that those models could be better or more efficient. —Dario Amodei, Anthropic

Sarah Wang • What Builders Talk About When They Talk About AI | Andreessen Horowitz

It's a little bit of a conundrum. A model we do not understand explains another model we do not understand.

memary: Open-Source Longterm Memory for Autonomous Agents

memary demo

Why use memary?

Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve... See more

GitHub - kingjulio8238/memary: Longterm Memory for Autonomous Agents.

Data Storage and

Data

Advances in data processing techniques. You can increase context length in two ways. First, you can train the model with longer context lengths. That’s difficult because it’s much more computationally expensive, and it’s hard to find datasets with long context lengths (most documents in CommonCrawl have fewer than 2,000 tokens).

The second, more... See more

Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]

0.1% Ideas: Turning Life Into A Video Game

What idea do you think is true AND underpriced?

Here’s mine: The most productive people design life like a video game.

I had this red pill moment when I saw the following:

The laziest person I’ve ever met play a video game for 16 hours straight, 7 days per week.

My brain began to hurt: The laziest person I... See more

Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]

Here is a simple process for shipping software projects that works. First, decompose the project into a stream1 of headlines. Then pick an aggressive date to ship the first headline and work like hell to meet that date. Have everyone work only on one headline at a time– the upcoming one. Ignore everything else. Don’t work on anything that doesn’t... See more

Headline driven development - Slava Akhmechet

Developer Management

Snowplow

1️⃣ Snowplow is made with developers in mind. It currently offers over 20 SDKs to get data from the web, mobile, and server-side applications.

2️⃣ The known feature of Snowplow is the use of its unique schema-based approach and validation process. Its architecture ensures reliable data.

3️⃣ Snowplow supports integration with multiple data... See more

Bap • Our 5 favourite open-source customer data platforms

Data Loading

You have access to a proprietary asset (like data) that others don’t have easy access to. In our “write job postings” example, perhaps you have a corpus of thousands of job postings including some outcome scores (as to how well they did). You could use this data to create better job postings. Others don’t have ready access to this data. Note: The

Dharmesh Shah • How To Build a Defensible A.I. Startup

LLMs

Protecting LLM products:
(1) Is hard to bootstrap. This already hints to existing customers or you need to get a bunch of your customers to co-develop (insurance model → companies pooling their data to solve a problem they all have). This runs into a bunch of issues: competitive drive of the companies, data privacy and security.
(2) Reserved for existing companies. This is the co-pilot model.
(3) This might be the most sustainable one, but it is also the hardest one. I have not seen anything in that direction yet besides OpenAI.