lawrebx @lawrebx
Joined February 2018-
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Engineering is magnitudes easier than innovation.
The answer to “how do I use this?” is “make better decisions”
The answer to “how do I use this?” is “make better decisions”
I.e. anyone doing meaningful analysis
And one has to wonder if this focus “normalizes” school shootings as a natural course of action - leading to more in the future
And one has to wonder if this focus “normalizes” school shootings as a natural course of action - leading to more in the future
Bro finally did the reading for his high school poli sci class - when he cracks open Foucault, our timelines are done for
Bro finally did the reading for his high school poli sci class - when he cracks open Foucault, our timelines are done for
Says more about the tests than AI IMO
BNPL with interest is just a credit card without a credit check (always has been?) - this will end well….
BNPL with interest is just a credit card without a credit check (always has been?) - this will end well….
Nature will heal and social media will return to its roots - Dank memes
Nature will heal and social media will return to its roots - Dank memes
Git is the worst system - except for all the others
Git is the worst system - except for all the others
An underrated and NOT embarrassing skill: knowing how to make code chunks, dataviz, and screenshots look good for slide decks and social media posts.
Anyone have resources on #DataScience or #DataAnalytics in electoral politics? #socialmedia specifically? Looking for a crash course.
#DataScience Twitter - recommendations on who to follow for reinforcement learning?
First pitch in the books! “Your pitch resonates with us better than any of your competitors” Looking forward to next steps with a MAJOR player in our target industry. Value focus >>> technical obfuscation. The benefits of really knowing your product market fit inside and out.
But for real, how did SQL become a super power? It’s the simplest language in the toolkit!
But for real, how did SQL become a super power? It’s the simplest language in the toolkit!
Gwendolyn Ranalli @RanaGwendol
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Day 24 of llm.c: we now do multi-GPU training, in bfloat16, with flash attention, directly in ~3000 lines of C/CUDA, and it is FAST! 🚀 We're running ~7% faster than PyTorch nightly, with no asterisks, i.e. this baseline includes all modern & standard bells-and-whistles: mixed…
The best staff+ engineers I know personally almost all have been managers at some point. They didn’t like it as much: but learned a ton. And became much better ICs / leads. YMMV of course. Some more observations on the EM market changing: newsletter.pragmaticengineer.com/p/zirp-enginee…
Disagree and commit vs Disagree and you're fired Plenty of successful companies operate with the first model: I haven't seen too many do well with the second one, on the long one at least. Tesla seems to be a notable exception to this:
I believe that the most common enterprise AI applications today aren’t the ones that solve the most important problems or make the most money. The most common applications are the ones that are easiest to evaluate. 1. Recommender system: evaluated by increase in engagement or…
@wwwojtekk It will never not be amusing to me that the AI people (at least the ones who are good and reasonable, obviously not the hypers and grifters and chatgpt API monkeys) are coming to the same conclusion about input data that stats people would have told you for 100+ years.
the big thing that i’ve learned from being an ml engineer…. … is that you often don’t need ml to actually solve business problems ml is really great at solving a small subset of problems in a business and very rarely do most businesses have the right building blocks to apply…
American Airlines unwilling to fix their booking system to accommodate passengers aged 100 or more is an example of “what % of people does this bug affect? Oh, below 0.05% so it’s low priority.” But it’s a damn important sub-0.05%: people who need assistance but don’t get it:
Local boutique owner (and my whole family) looking at me with absolute disgust as I ask her “just one more question” about her Shopify POS System
"Quiet quitters": They don't exist in the macro data, they don't exist in the micro data.
Olive Keogh: Quiet quitters are hard to handle because they continue to complete their assigned workload to the same (often high) standard, giving their managers an uneasy feeling but nothing specific to complain about. irishtimes.com/business/work/…
Best ZIRP era exits, ranked: 1. Delaware force-feeding Twitter to Elon for $44B 2. CRM buying Slack for $27B as it’s being commoditized 3. SQ buying Afterpay for $29B. Post, SQ briefly worth less itself 4. Johnny Boufarhat, CEO Hopin selling $250M. Hopin was liquidated for $50M
tfw you’re definitely a normal corporation run for profit
BREAKING: Reuters reports that TikTok's owner ByteDance would prefer to 'shut down' its app in the US rather than sell it if all legal options are exhausted
It's at least interesting in the meta sense of noting that the pedagogy of how people are learning or self-teaching AI stuff appears to be deviating from machine learning / stats fundamentals.
this is super valid and great to come to as an epiphany in a blog post if you're a college kid or a random schmuck and kinda weird to do if you've held a high prestige AI job for a full year.
The dataset is everything. Great read: nonint.com/2023/06/10/the…
@lemire Really the fact that I'm trying to launch a GUI in the first place shows I am not worthy of a Linux installation.
I hear many people say “banning noncompetes will be terrible for businesses!” California banned noncompetes more than 80 years ago. Companies headquartered in California that were impacted by this policy: Apple Google OpenAI Some of the most successful companies of all-time.
Silicon Valley's success is often partially attributed to the fact California made noncompetes illegal early. While this is true, we rarely talk about how culturally different SV companies are. When people quit for a competitor for a unique opportunity, people really wish them…
I’m excited to share that I’m working on a new book about building applications with foundation models! AI Engineering builds upon Machine Learning Systems Design, but with a focus on large scale, ready made models. The book covers: - The new AI stack (e.g. how it differs from…