looking at the data | product engineering @nomic_ai | fmr. @michigandaily web editor
NYC
Joined February 2012
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- Following271
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Pinned Tweet
Over the last few weeks, I've collected and analyzed 15 million Wordle tweets – here are some of the findings:
observablehq.com/@rlesser/wo…
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Robert Lesser retweeted
I'm excited to announce the @nomic_ai has closed it's industry strategic round with participation from @Aurecon and @ArcadisGlobal .
At Nomic, our models and agents work alongside skilled designers and engineers to deliver high quality physical assets like data centers, bridges and critical infrastructure.
Read more: nomic.ai/news/announcing-nom…
Robert Lesser retweeted
Today, we're launching AEC-Bench — the first open, multimodal agent benchmark for construction.
196 tasks across real construction documents. Full agent harness. Automated evaluation. Apache 2.0.
We benchmarked Claude Code, Codex, and our own agent. Here's what we found 🧵
The needle is cool but I like this view better, captures both the changing forecast and the forecast certainty
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made the needle for snow accumulation
robertlesser.com/snow-needle…
Robert Lesser retweeted
Vector Search Any Hugging Face Dataset 🤗
Introducing the @huggingface Datasets Connector in Nomic Atlas
huggingface.co/blog/MaxNomic…
This demo (like half the demos on the internet right now) brought to you by @tldraw
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Robert Lesser retweeted
Ever wondered what the entire @Steam library of 100k games looks like mapped out?
In this Atlas data map, you can explore neighborhoods of the landscape of video games and uncover hidden gems with descriptions that are semantically similar to your favorite titles!
We're growing the "Look At Your Data" to "Tell Stories About Your Data" pipeline - give it a look!
What do 3.2 million @X posts from Congress show about how US legislators talk?
What are they posting about going into the 2024 US presidential election?
Learn what we found in 3.2M posts from Congress using Nomic Atlas:
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Robert Lesser retweeted
🗺️Atlas Spotlight: Humans of Wikipedia, a dataset of biographies from around the world!
Atlas can combine geographic and semantic data analysis. If we select a country in the geographic view, in the semantic view we can see clusters of their footballers, olympians, and artists!
playing around with IntersectionObserver, it gets so much easier to reason about when it jumps out at you. you should use it!
As sparse auto-encoders (SAEs) and their corresponding feature sets get larger, we're going to need ways to interpret and understand them at scale. Very excited for how @nomic_ai & Atlas can assist in this area of research
Tonight's tinker: exploring a map of my ~20,000 text embedding SAE features — atlas.nomic.ai/data/thesephi…
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Robert Lesser retweeted
Check out the special sneak preview of in-browser embedding-space similarity search. Now that @nomic_ai has an image model aligned to our text one, it's possible to ask any questions, apply filters, and search through millions of unlabeled images at unprecedentedly high quality.
Today, every Nomic-Embed-Text embedding becomes multimodal. Introducing Nomic-Embed-Vision:
- a high quality, unified embedding space for image, text, and multimodal tasks
- outperforms both OpenAI CLIP and text-embedding-3-small
- open weights and code to enable indie hacking, research, and experimentation
- released in collaboration with @MongoDB, @llama_index, @langchain, @huggingface, @awscloud, @digitalocean, @LambdaAPI
Robert Lesser retweeted
Job alert @nomic_ai ! I'm hiring a front end/Web engineer to build the next generation of data interfaces for curating, exploring, and model-building from text and image data. Apply here or pass it on: jobs.ashbyhq.com/nomic.ai/42…
ignoring the whole imperial/metric debate, this flowchart is so sick.
esoteric units evolving in all directions, a meaningful log-scale y-axis tracking the metric "domain", unit chains diverging only to reconnect multiple orders of magnitude later... great stuff
Who needs the metric system? The English units of measurement are easy
Just remember there are 1,140,480 twips in a Gunter’s chain
And you can calculate a twip (this is not a joke) by taking your US shoe size, adding 26 & dividing by 1/160.3 x the length of your foot in inches.
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Val town lowers the complexity cost of bringing ideas to the web, and I expect the web to become a more creative and fun place because of it.
Congrats @stevekrouse and team!
(And cool to see my dependency graph val in the announcement!)
Val Town is where you write the first line of code that becomes your next side project, internal tool, or startup
We raised $5.5m from Accel + awesome angels to grow our team & build your favorite place to code in the cloud
blog.val.town/blog/seed
