omkaar
@omkizzy
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ml/distsys/os | past @uwaterloo @cartainc @autodesk | dist sys breakdowns for 6000 SWEs
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Pinned Tweet
GPU Poor? **Friends** is all you need.
i built a distributed training module from scratch that performs model training over a cluster of M-series macs connected over the same network.
this was inspired by
@anyscalecompute
's Ray,
@hnasr
's work,
@ShopifyEng
's merlin article and
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Introducing BeyondPDF, a smart, free, fully-local (wifi-less) PDF search app for MacOS. "Free" has always connoted to "It's free but we will steal your data"... not anymore.
Whats wrong with MacOS's Preview? It's great... but I NEED smart/semantic search. Searching for words is
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gpu poor? I wrote a simple distributed training module to train a vision model on three M1 macbooks. it's open sourced!
i wanted to build a distributed training tool for M-series macs but I faced two hurdles: network latency is extremely high and my friends weren't happy with
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AI chatbot startups have raised $100M+ right now but have it all wrong.
Your chatbots point users to a 100-page zendesk doc on "how to ***" but why not just complete the task?
I built ActBot: set up your own agentic chatbot on any website!
The demo below shows ActBot
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Introducing Agenata: a free, open-source web annotation tool. The demo below shows a live annotation of adding an item to cart on uber eats.
Currently, SOTA web agents underperform because:
1) Fewer web trajectory datasets lead to poor reasoning and planning over different
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federated learning across mine and my friend's mac... now i can sleep 🙂↔️
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@sincethestudy
@cognition_labs
loool two things that are inevitable: taxes and gpt-4 prices dropping
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i suspect adam (just quit as ceo of aws) and ilya (just quit as CS at openai) are building a gpu startup tg
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I built an AI agent that can perform end-to-end tests on your webapp with natural language test definitions.
traditional heuristic evaluations cost $10,000+ dollars, an llm-agent-based heuristic eval can cost < $1,000, even for large projects!
shoutout to
@ivan_yevenko
from
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Self-building, on-the-fly APIs with agents. Demo ⬇️
The world needs devs to spend more time architecting developer-friendly APIs not code monkeying the same boilerplate.
I time-boxed myself to build a simple self-building, and soon self-healing, API that can build and fix
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I built a patent search engine to look through billions of patents (my demo only does millions for now) through semantic search.
The infra for this is very hard and required some work on the embeddings / vectordb front.
To scale up your embedding search, you need:
- small
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got out-shipped but this is sick!!!!
One more Apple announcement this week: you can now run your personal AI cluster using Apple devices
@exolabs_
h/t
@awnihannun
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@sincethestudy
@natfriedman
yo brian, thank you for helping me build the thermoclinic neucliophillic ai agent reactor that, since the study, has helped cure cancer (currently in stealth mode)
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@Bojohnzon
exactly, i hate companies charging for this... i do like obsessing on the ux, thank you for noticing
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Hey
@metaphorsystems
(
@wangzjeff
@SarahChieng
)! I use google and metaphor frequently, and recently, I have been thinking about how Query Biased Snippets on Metaphor's search results could really enhance user experience.
Here's a quick video/demo of metaphor with QBS.
Things to
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@ronaldmannak
@PicoGPT
Hey Ronald this is awesome, I built a repo that does that can run training over a cluster of macs -
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we are apparently charting the app store in utilities!!!!!! can we run this up?
Introducing BeyondPDF, a smart, free, fully-local (wifi-less) PDF search app for MacOS. "Free" has always connoted to "It's free but we will steal your data"... not anymore.
Whats wrong with MacOS's Preview? It's great... but I NEED smart/semantic search. Searching for words is
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112
1K
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shoutout to
@globe_engineer
, i took their DOM optimizations
shoutout to
@tryramp
and
@karimatiyeh
for beating me to build this
this is super crude but works well -
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i know a waterloo first year still looking for a summer internship. good full-stack, AR and embedded experience but most importantly, done to learn. anyone interested in a chat?
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tobias is smart, super ambitious and will grind no doubt, any company that hires him is lucky!
Just got word that my fall tesla internship on the battery manufacturing eng team was cancelled due to layoffs. I'm a mechatronics student at uwaterloo, if anyone is looking for a mechanical/robotics position, let's chat! down to grind on the most ambitious ideas :)
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an employee's worth is the domain knowledge they possess which is not in GPT's pretraining data
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im SO bullish on the mlx. when apple builds, they build seamless integration within their ecosystem. Federated Learning is great across mac mps backends, but.... I have some thoughts on this, but I will let you extrapolate :) maybe I'll even build and OS it
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GitHub searches through 300,000,000 repositories instantly.
Learn the nitty gritties of their search from a 5 min article.
Read here:
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If a service is free, you are the product. gpt was never meant to have just a consumer biz model, it does not scale as well... now enterprises (like apple) will fill oai's pockets for us to use it... parallels with how Google provides search for free. giving it for free leads to
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hello im raising $7T preseed to automate $4.6T worth of work, anyone want in?
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my intention is to get this to be readable, DX-oriented and open source it so people can learn that federated learning is actually not hard (on a dev scale)
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My profile pic is inspired by this image. I love everything TinTin is about.
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seeing a friend organically opening BeyondPDF, making a search and deriving value is magical, 1.0.2 is coming
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doing full-time side-quests and part-time school has made me more fulfilled then ever
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im so grateful to school. it helped me develop world-class prompt engineering skills that now directly translate into real world applications.
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dropping OS federated learning tomorrow. it still uses grpc but the codebase should be pretty readable.
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@awnihannun
@anyscalecompute
@hnasr
@ShopifyEng
thats the best part, i went with pytorch because im more familiar with it. in mlx, this would be even more optimized :) OS + tutorial coming soon
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dropping a more agentic OS version of this tmrw... stay tuned!
Introducing Ramp Tour Guide: an AI Agent that can show you how to do anything on Ramp!
Today, we'd like to share a sneak peek of Ramp's near future. As Ramp grows in functionality, we want to make all of it easily accessible to all of our customers. To do that, we're demoing a
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I made a big list of books based on my last tweet's replies which ill pick from next time. I got the one below. ever since i became more ambitious (2nd year waterloo eng onwards), I have felt a deep difference in friendships I had in high school vs rn. I realized I became
im going book shopping, drop your favorite book recs!
idc if its about business, fiction, science, biographies, etc. I want to expose myself to something new. will post an update of what I buy :)
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woke up and the inner tech bro in me was convinced I needed a mullet, so here it is
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big thanks to
@thanosthinking
@hud_zah
@sincethestudy
@shah_bu_land
@FarazDoTAI
@alish2001_
for the feedback!
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the replit layoffs unleashed an absolute swath of cracked builders into the world, we are going to see some insane builds soon
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till compute naturally scales 10x, who is working on scaling data 200x? (chinchilla)
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can someone run swe-agent with llama3? zuck said 20% of the training data was code!!!
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apple intelligence will be apple's biggest feature. we talk about why agents should not use user interfaces and instead get work done with api calls to services... but most services don't actually offer public apis. through app intents, apple basically gets their top apps
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most people believe that the hardest substance on the planet is a diamond... its actually waterloo water
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scientists say the human brain does not back prop. a person reflecting is a person back propping
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crazy how a three second interaction can manifest a life-changing moment three months later
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wanna learn how discord scaled their datastore to 1,000,000,000 messages? check out
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@VictorTaelin
twitter dms and replies for hiring is noisy, two ways iv seen ppl make great hires:
- approach a highly technical vc (they exist) and get them to make intros within circles (they know ppl at nvidia, meta AI, etc who are bored out of their minds wanting to work on next gen
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im going book shopping, drop your favorite book recs!
idc if its about business, fiction, science, biographies, etc. I want to expose myself to something new. will post an update of what I buy :)
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decided last night that grpc is not the right tool to use on my simple-federated-learning tutorial repository (and is a pain to build on). its going to limit the repo's power in penetrating the depths of your intuition. switching to basic REST.
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I was waiting for Google's email about my extension getting approved... instead got this
Introducing Agenata: a free, open-source web annotation tool. The demo below shows a live annotation of adding an item to cart on uber eats.
Currently, SOTA web agents underperform because:
1) Fewer web trajectory datasets lead to poor reasoning and planning over different
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292
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I created an iPhone 12 ad four years ago, before they released the three camera concept, had to bring out this old gem
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the openai's and deepmind's of the world are in a special position. most companies have to improve ux, add features, etc to win over competition. oai, dm, etc have to perform and invent literal magic to win over each other...
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won (with my team) the
@UWVelocity
agetech challenge by building a working prototype that can help detect early signs of dementia and costs < $10 to build
currently such machines cost $500,000+ and work by measuring plaque deposits in retina
looking to build this out further!
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yesterday I completed a dist sys project in 12 hours that I had failed to accomplish in two previous attempts each of which took more than a day. it did take me a year to build the intuition. if people like it upon release I will build this further for fun maybe even drop a tut
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the ad economy
2010s: for humans, by humans
2020s: for humans, by bots
2030s: for bots, by bots
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the past 3 weeks have taught me that agency is the most valuable currency
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imo openai is economically constrained from releasing gpt-5. compute is a big bottleneck and they havent figured out how to effectively reduce gpt4's size to support offering that efficiently. but satya could step in and just eat the costs so openai can dominate. EOD, jensen
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im from mumbai but this looks so much like home and i miss it a lot
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nvidia is nothing without its people (vcs funding GenAI startups which indirectly gets funneled to nvidia)
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a paper should never be your defensibility and a lot of "ai" startups rn are doomed if they dont invest in research
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"ellie goulding hits of 2010s" playlist on spotify hits so different in deep code mode
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the tech community needs better fake praises like
- you have the "creativity of an ai founder"
- wow you have the "MMLU of gpt-3.5-turbo"
- dude you as as agentic as SOTA ai agents!!!
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Today I launch - systems design newsletter for busy engineers.
Learn topics like how
@GitHubEng
achieves blazing-fast search on 300M repos.
Sounds interesting? Read it (no email) at
@_buildspace
@FarzaTv
#buildspace
#buildspace
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could anyone connect
@crsamra
@SymphonicLabs
to
@OpenInterpreter
? theres an insane accessibility unlock waiting to happen
"Introducing MAMO. <=>"
"MAMO is a multimodal interface that lets you talk to your computer without needing to make a sound. <=>"
"Powered by
@symphoniclabs
multimodal Silent Speech Foundation model. <=>"
Signup for MAMO beta here:
cc
@_nightsweekends
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I sometimes imagine myself on my deathbed and reflect on "biggest regret?", etc type questions. starting to realize any answers I think of now or would say then, are going to be very biased. Even answers from people currently on their deathbeds will be biased by nature.
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