Toronto, Ontario
Joined August 2014
- Tweets2.3K
- Following107
- Followers140
- Likes13.5K
david🤓 retweeted
Legal got Harvey. Eng got Cursor. Where's the agent harness for Marketing?
Every CMO I talk to is tired of hearing of "AI transformation."
They bought a bunch of tools, ran tons of pilots, and gave their teams the best models. Their marketing process still sucks.
If that sounds familiar, you'll want to bookmark this.
We've been helping Fortune 500 enterprises actually implement AI and figured it out.
The answer is a purpose-built marketing harness.
Read my full post here:
david🤓 retweeted
OLMo is here! And it’s 100% open.
It’s a state-of-the-art LLM and we are releasing it with all pre-training data and code. Let’s get to work on understanding the science behind LLMs. Learn more about the framework and how to access it here:
blog.allenai.org/olmo-open-l…
potential Copilot + R use case that might be handy for roxygen2 documentation:
Identify external imports from within function body -> add to roxygen2 header (see example below). Thread here: github.com/github/copilot-pr…
@DynamicWebPaige
#rstats #copilot
>2 years later, i'm using copilot again (woohoo work got a license!) and it's taught me this neat pathlib syntactic sugar for combining Paths
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david🤓 retweeted
A nice reminder that there is more to life (and machine learning) than LLMs.
Introducing GNoME: an AI tool that helped discover 2.2 million new crystals. 💎
Crystals are found in everything from the chips powering our phones to solar cells creating clean energy.
The model also better predicts the stability of new materials. 🧵 dpmd.ai/GNoME-AI
happy 1 year birthday to ChatGPT!
til that you can provide custom instructions to ChatGPT to have its responses be tailored to your needs. improves the experience dramatically imo
Happy birthday ChatGPT!
One year ago we released what we intended to be a “low-key research preview” expecting that the real moment of excitement would be GPT-4 launch.
Became all-hands-on-deck scaling effort—GPU efficiency, db, even auth.
Thank you everyone for your passion!
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david🤓 retweeted
i loved my time at openai. it was transformative for me personally, and hopefully the world a little bit. most of all i loved working with such talented people.
will have more to say about what’s next later.
🫡
david🤓 retweeted
Software developer hobby ladder
1. Text editors from the 70s
2. Pour over coffee
3. Writing a book
4. Mechanical keyboards
5. Endurance sports
david🤓 retweeted
Six mathematical objects you don't need
1/6. Klein Wine Bottle
Which you have to pour from the bottom
david🤓 retweeted
Creative ppl should NOT work Monday-Friday 9-to-5 (yet 99% do this)
@naval has a great framework. Work like a LION.
- sit
- wait for prey
- SPRINT
- eat/enjoy
- rest & repeat
Most people work like COWS instead. Standing in the field all day, grazing grass slowly.
david🤓 retweeted
this is wild — kNN using a gzip-based distance metric outperforms BERT and other neural methods for OOD sentence classification
intuition: 2 texts similar if cat-ing one to the other barely increases gzip size
no training, no tuning, no params — this is the entire algorithm:
![for (x1, _) in test_set: Cx1 = len(gzip.compress(x1.encode())) distance_from_x1 = [] for (x2, _) in training_set: Cx2 = len(gzip.compress(x2. encode()) x1x2 = " ".join([x1, x2]) Cx1x2 = len(gzip.compress(x1x2. encode()) ncd = (Cx1x2 - min(Cx1,Cx2)) / max(Cx1, Cx2) distance_from_x1.append(ncd) sorted_idx = np.argsort(np.array(distance_from_x1)) top_k_class = training_set[sorted_idx[:k], 1] predict_class = max(set(top_k_class), key=top_k_class.count)](https://pbs.twimg.com/media/F05HxqsWwAAHRCI.jpg?name=orig)
ALT for (x1, _) in test_set: Cx1 = len(gzip.compress(x1.encode())) distance_from_x1 = [] for (x2, _) in training_set: Cx2 = len(gzip.compress(x2. encode()) x1x2 = " ".join([x1, x2]) Cx1x2 = len(gzip.compress(x1x2. encode()) ncd = (Cx1x2 - min(Cx1,Cx2)) / max(Cx1, Cx2) distance_from_x1.append(ncd) sorted_idx = np.argsort(np.array(distance_from_x1)) top_k_class = training_set[sorted_idx[:k], 1] predict_class = max(set(top_k_class), key=top_k_class.count)
this paper's nuts. for sentence classification on out-of-domain datasets, all neural (Transformer or not) approaches lose to good old kNN on representations generated by.... gzip aclanthology.org/2023.findin…
i think this is such an important mindset to adopt. it doesn't come naturally for introverted people, but I think this mindset shift has significantly improved my QoL and happiness. it also made me more aware of what I want!
You can literally just ask for what you want.
In hotels, you can just say "Can we get a better room?"
You can write in the support chat “Hey, any chance we can get a discount?”
You can reach out to people and simply ask, "Would you like to chat?"
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david🤓 retweeted
Here’s why I’m not worried about AI.
On the left is a Player Piano. They can cost as little as $2000 and they play themselves. This one was in a mall, and everyone was ignoring it.
On the right is a human playing a piano in a mall.
david🤓 retweeted
All of us want a safer, better game. To achieve that, the NHL needs consistency in how it disciplines players. Without telestrations, here is a breakdown of the current inconsistencies in NHL Player Safety.
youtu.be/3_k4lTDVpUI
the plot do be thickening
Leaked Google document: “We Have No Moat, And Neither Does OpenAI”
The most interesting thing I've read recently about LLMs - a purportedly leaked document from a researcher at Google talking about the huge strategic impact open source models are having
simonwillison.net/2023/May/4…
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david🤓 retweeted
What could you build if you had the embeddings of ALL of wikipedia?
The Embedding Archives: Millions of Wikipedia Article Embeddings in Many Languages
hubs.li/Q01Mg6_C0
We’re publishing ~100 million embedding vectors, covering Wikipedia in 10 languages. Get them now!
