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it is never going to be ready so it is probably ready now
Small rant about LLMs and how I see them being put, rather thoughtlessly IMO, into productivity tools. 📄 TL;DR — Most knowledge work isn't a text-generation task, and your product shouldn't ship an implementation detail of LLMs as the end-user interface stream.thesephist.com/updates/166861…
Welcome Relative Representations, enabling zero-shot communication between latent spaces without any training! arxiv.org/abs/2209.15430 It turns out that distinct neural networks learn intrinsically equivalent latent spaces [1/6]
![moschella_luca's tweet image. Welcome Relative Representations, enabling zero-shot communication between latent spaces without any training!
arxiv.org/abs/2209.15430
It turns out that distinct neural networks learn intrinsically equivalent latent spaces [1/6]](https://pbs.twimg.com/media/FeXzH1FXkAI15eN.jpg)
naive is you have a completely wrong model of what’s happening, charitable is that you have a relatively accurate model but you’re still willing to be loving/forgiving
Putting my sci-fi/fiction/improv hat on for a minute. Imagine a world where AI makes it possible for a single person to make a feature length film that's indistinguishable in quality from $100M films today. What would that world look like? What might be the same/different?
For what it’s worth: if, in 2020, you asked the median IC at an organization that was doubling year-over-year if they thought the org was growing too fast, they would have said yes. If you asked the median executive, on the other hand…
How it started. How it’s going.
Describing to an AI in exact detail the software I want it to build. But the description becomes unwieldy so I create a structured language to manage it. Other people start sharing commonly used description snippets so we create a packaging system and registry. Oh shit wait
It's been ~15 months since I switched fields (into DB) and started a PhD, so I did a bit of freewriting. I reflect on ML engineering and some uncomfortable learnings: shreya-shankar.com/phd-year-one/
The value of modern tools is that they enable collaborative working styles
relevant thread re: the conversations about tools and skillset vs. impact that have been circulating on data twitter recently. tools and skillset are a reflection of previous work environments, and while this may seem unfair, there's a reason for preferring those backgrounds
These events are not unimaginable because they're a uniquely American epidemic. They're part of what this country is. And only a deeply sick county can watch its children die at places it sends them to learn and grow, and pretend it's unimaginable while it happens again and again
In order to get good at long term projects, you need to refactor your mind, environment, and tools, to work incrementally, with minimal expectations, and with an acceptance that, some outputs will be high impact, some will be low, and you'll mostly never know which will be which.
New hires immediately demanding troves of data with little context is the professional equivalent of starting a fight on your first day of prison to prove you're tough.
Ops use cases of dwh are creating much stronger expectations on availability/completeness/quality/fault-tolerance of data pipelines. Data pipelines weren't designed for this traditionally. 2 recent examples from my own experience /1
Customers also never care about JIRA stories, OKRs or annual planning—but for some reason I hear this refrain all the time about technology choices and never about management fads...
A few tips for working with data analysts - if you need some data, just ask quickly over slack right before your deadline. - if the data doesn’t seem right, simply say “this doesn’t seem right. Can you re-pull?” - even if you may never need the data again, ask for a dashbaord
Collapsing a firm's decision-making processes into a few metrics and hackneyed language that are designed to be legible to "strategists" and accountants is an excellent way to ensure that you optimize for the wrong things.
This is it. Wonderful comment on how big orgs work. news.ycombinator.com/item?id=263981…
Kalief Browder allegedly stole a backpack at 16, spent 3 yrs at Riker's Island without trial. Riley Williams stole a laptop from Speaker Pelosi's office and tried selling it the Russians. She was released to her mother There are two justice systems in America #BlackLivesMatter
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