Catchmaker

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Catchmaker

Catchmaker

@_Catchmaker

Better job search. AI first. The first and only* job search that helps you find what you want by omitting what you don't want.

Entrou em Temmuz 2023
2.2K Seguindo329 Seguidores
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Catchmaker
Catchmaker@_Catchmaker·
Looking for a job at a top AI company? Catchmaker.com is your new starting point. We just soft-launched in public beta. Feedback welcome!
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Taelin
Taelin@VictorTaelin·
I *WAS* WRONG - $10K CLAIMED! ## The Claim Two days ago, I confidently claimed that "GPTs will NEVER solve the A::B problem". I believed that: 1. GPTs can't truly learn new problems, outside of their training set, 2. GPTs can't perform long-term reasoning, no matter how simple it is. I argued both of these are necessary to invent new science; after all, some math problems take years to solve. If you can't beat a 15yo in any given intellectual task, you're not going to prove the Riemann Hypothesis. To isolate these issues and raise my point, I designed the A::B problem, and posted it here - full definition in the quoted tweet. ## Reception, Clarification and Challenge Shortly after posting it, some users provided a solution to a specific 7-token example I listed. I quickly pointed that this wasn't what I meant; that this example was merely illustrative, and that answering one instance isn't the same as solving a problem (and can be easily cheated by prompt manipulation). So, to make my statement clear, and to put my money where my mouth is, I offered a $10k prize to whoever could design a prompt that solved the A::B problem for *random* 12-token instances, with 90%+ success rate. That's still an easy task, that takes an average of 6 swaps to solve; literally simpler than 3rd grade arithmetic. Yet, I firmly believed no GPT would be able to learn and solve it on-prompt, even for these small instances. ## Solutions and Winner Hours later, many solutions were submitted. Initially, all failed, barely reaching 10% success rates. I was getting fairly confident, until, later that day, @ptrschmdtnlsn and @SardonicSydney submitted a solution that humbled me. Under their prompt, Claude-3 Opus was able to generalize from a few examples to arbitrary random instances, AND stick to the rules, carrying long computations with almost zero errors. On my run, it achieved a 56% success rate. Through the day, users @dontoverfit (Opus), @hubertyuan_ (GPT-4), @JeremyKritz (Opus) and @parth007_96 (Opus), @ptrschmdtnlsn (Opus) reached similar success rates, and @reissbaker made a pretty successful GPT-3.5 fine-tune. But it was only late that night that @futuristfrog posted a tweet claiming to have achieved near 100% success rate, by prompting alone. And he was right. On my first run, it scored 47/50, granting him the prize, and completing the challenge. ## How it works!? The secret to his prompt is... going to remain a secret! That's because he kindly agreed to give 25% of the prize to the most efficient solution. This prompt costs $1+ per inference, so, if you think you can improve on that, you have until next Wednesday to submit your solution in the link below, and compete for the remaining $2.5k! Thanks, Bob. ## How do I stand? Corrected! My initial claim was absolutely WRONG - for which I apologize. I doubted the GPT architecture would be able to solve certain problems which it, with no margin for doubt, solved. Does that prove GPTs will cure Cancer? No. But it does prove me wrong! Note there is still a small problem with this: it isn't clear whether Opus is based on the original GPT architecture or not. All GPT-4 versions failed. If Opus turns out to be a new architecture... well, this whole thing would have, ironically, just proven my whole point 😅 But, for the sake of the competition, and in all fairness, Opus WAS listed as an option, so, the prize is warranted. ## Who I am and what I'm trying to sell? Wrong! I won't turn this into an ad. But, yes, if you're new here, I AM building some stuff, and, yes, just like today, I constantly validate my claims to make sure I can deliver on my promises. But that's all I'm gonna say, so, if you're curious, you'll have to find out for yourself (: #### That's all. Thanks for all who participated, and, again - sorry for being a wrong guy on the internet today! See you. Gist: gist.github.com/VictorTaelin/8…
Taelin@VictorTaelin

A::B Prompting Challenge: $10k to prove me wrong! # CHALLENGE Develop an AI prompt that solves random 12-token instances of the A::B problem (defined in the quoted tweet), with 90%+ success rate. # RULES 1. The AI will be given a random instance, inside a tag. 2. The AI must end its answer with the correct . 3. The AI can use up to 32K tokens to work on the problem. 4. You can choose any public model. 5. Any prompting technique is allowed. 6. Keep it fun! No toxicity, spam or harassment. # EVALUATION You must submit your system prompt as a reply to this tweet, in a Gist. I'll test each submission in 50 random 12-token instances of the A::B system. The first to get 45 correct solutions wins the prize, plus the invaluable public recognition of proving me wrong 😅 If nobody solves it, I'll repost the top 3 submissions, so we all learn some new prompting techniques :) # DETAILS ON GIST gist.github.com/VictorTaelin/8…

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Catchmaker
Catchmaker@_Catchmaker·
@KTmBoyle Agreed. For insiders, it's higher risk and potentially high reward, so can be worthwhile (and more fun/interesting) as long as you have financial cushion to survive being pushed out.
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Katherine Boyle
Katherine Boyle@KTmBoyle·
One of the greatest ways to learn is to be so far outside the status hierarchy of a place you can ask the hard and dumb questions no one else can. The outsider advantage is less about having nothing to lose and everything to gain (though that’s part of it.) It’s more that an outsider can operate adjacent to hierarchy and learn faster because they’re not encumbered by it.
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Catchmaker
Catchmaker@_Catchmaker·
Many people try various ways to look smart, without realizing that the opposite is a critical part of high achievement: "I could try out lots of really "dumb" ideas very fast"
Bojan Tunguz@tunguz

This is massive indeed. One of the main reasons I had gone "all in" on Kaggle years ago was because I could try out lots of really "dumb" ideas very fast and relatively inexpensively. An incredible feedback loop that I had not seen anywhere before or after - until now.

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Kris Kashtanova
Kris Kashtanova@icreatelife·
Marta was laid off and she made this video to market.. herself. She got a lot of interviews since she posted it. Lots of inspiration in this video for anyone interested in marketing.
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Catchmaker
Catchmaker@_Catchmaker·
@silentworks @supabase That was OAuth with Flask; here's an independent example in the Pyramid web framework: twitter.com/MakeDeeply/sta… ... open to feedback
Make Deeply@MakeDeeply

@supabase @silentworks Just posted 2 new sample Python web apps to get feedback on best way to use Supabase auth for server-side apps: github.com/MakeDeeply/pyr… my main interest Would be great to get your feedback. Also from @PylonsProject and the Pyramid community.

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Catchmaker
Catchmaker@_Catchmaker·
@benjedwards @bilawalsidhu BeOS from @gassee may have sufficed from a technical sense (and was in the running) but WWW was born on NeXT @timberners_lee, and totally agree that the 'learn and grow' was vital to Jobs' future success. As does JLG twitter.com/gassee/status/…
Jean-Louis Gassée@gassee

Yes, the firing experience tempered him, as tempered steel, he went on to Pixar, to NeXT and to the biggest tech industry turnaround after coming back to APple in 1997.

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Benj Edwards
Benj Edwards@benjedwards·
@bilawalsidhu No because he needed that decade to learn and grow—and develop an OS that would later help save Apple. Apple 2.0 would not have happened without that growth period
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Bilawal Sidhu
Bilawal Sidhu@bilawalsidhu·
This whole Sam OpenAI fiasco makes me wonder if social media was a thing during the time of Steve Jobs ousting - could he have avoided a decade long exile?Traditional media has too many layers of abstraction between the actual will of the people. On X - it’s playing out in realtime.
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Catchmaker
Catchmaker@_Catchmaker·
@shreyas Agreed. Great advice for #JobSeekers. The company doesn't care why you need a job, or how badly you need it -- they may have >100 candidates with equally compelling stories. Instead, understand what they're looking for and show how you're the best fit.
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Shreyas Doshi
Shreyas Doshi@shreyas·
When you’re looking for a job, there is a big difference between coming across as self-confident (improves your chances) and coming across as someone who deserves the job (ruins your chances esp. for coveted jobs). Remember: You need the job. The company doesn’t owe you the job.
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Catchmaker
Catchmaker@_Catchmaker·
@jeffreyhuber The essay is from 6 years ago: Nov 11, 2017. Not sure whether still ahead of the curve, or describes a path that won't play out as forecast. Still worth reading and pondering, including for possible affects on career.
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Catchmaker
Catchmaker@_Catchmaker·
Lots of people post visual market maps but many of us want the underlying data. Here's a real example x.com/omooretweets/s… that has several challenging aspects. Goal: html table with 50 rows: number, cropped logo, company name, domain, and both favicon and logo extracted from home page -- useful in general and important as a cross-check. Willing to give it a try?
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Olivia Moore@omooretweets

Generative AI has spawned thousands of new products. But outside of ChatGPT, what are everyday consumers using? What's growing, and what has flattened? We crunched the numbers to find the top 50 consumer web products by monthly visits - here's our learnings ⬇️

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Unstructured
Unstructured@UnstructuredIO·
If you're looking to parse images, text, tables and more from documents, we got you. Any document, any layout, any file type. We can do it.
Sudarshan Koirala@mesudarshan

✨Multi-Modal RAG on PDF (contains Tables + Texts + Images) Using @langchain,@trychroma,@OpenAI's GPT-4V & @UnstructuredIO✨🚀 Youtube video: youtu.be/-77EvEjuZJY #langchain #unstructured #llm #openai #chromadb #gpt4 #gpt4turbo #rag #multimodal #multivectorretriever #PDF

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Catchmaker
Catchmaker@_Catchmaker·
@patricksmalone Investment in @Terray_Tx from NVIDIA! And 19 #JobOpenings across bio, chem, data, software & more. "Terray is a biotechnology company with the technology, data, and mindset to radically change the way we discover and develop small molecule therapeutics."
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Patrick Malone, MD PhD
Patrick Malone, MD PhD@patricksmalone·
the founding thesis of Terray Therapeutics was that the biggest bottleneck in AI-driven drug discovery is a paucity of high-quality data at scale. five years in, Terray has built an end-to-end platform that integrates automated chemical experimentation and generative AI, all purpose-built with the end (generating safe, effective, drug-like small molecules) in mind. excited to announce a collaboration and investment in Terray from NVentures, @nvidia's venture arm. Terray and NVIDIA will collaborate on completing SOTA chemistry foundation models, some of which will be made available on NVIDIA's BioNeMo platform for AI in drug discovery. by open-sourcing some of Terray's models, the drug discovery community will see what we see: the "unreasonable effectiveness" of high-quality experimental data in solving complex problems in drug discovery.
Patrick Malone, MD PhD tweet media
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Catchmaker
Catchmaker@_Catchmaker·
"Maybe so, maybe not. We’ll see."
David Park@Davidjpark96

A founder and his son had an AI startup that helped the family earn a living. One day, OpenAI released ChatGPT and tech twitter cried out “Your startup is fucked, what terrible luck!”. The founder replied “Maybe so, maybe not. We’ll see.” A few months later the startup doubled in MRR because ChatGPT educated the market on AI and it's use cases. Twitter shouted out “Your hard work has paid off! What an amazing MRR graph!” and the founder replied “Maybe so, maybe not. We’ll see.” Later that year, a copycat saw all of the founder's success and decided to clone their AI startup. Twitter cried out “You have a copycat doing better than you now, what terrible luck!”. The founder replied, “Maybe so, maybe not. We’ll see.” The copycat couldn't keep up with the sudden traffic and abandoned their project, which lead to many of their users coming to the original startup instead. Twitter exclaimed “You've outlasted the competition and taken their users, what tremendous luck!”, to which the founder replied “Maybe so, maybe not. We’ll see.” — I tweaked one of my favorite proverbs and based it on our startup story I decided to write this because nowadays, I see all this fear-mongering of “holy fuck ChatGPT just killed a million startups because of this plugin or that feature or because of this announcement on dev day” These posts are balanced by the headstrong founders who post the opposite of “well actually these changes are excellent for our business and now we are going to be a trillion-dollar company instead of a billion-dollar company!!!” Even if constant anxiety and/or forced optimism about the AI landscape was the optimal way to run a business, it seems like such a draining way to live Is our philosophy of marching forward and being generally unaffected by the AI landscape a better way to run a startup? Maybe so, maybe not. We’ll see.

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Catchmaker
Catchmaker@_Catchmaker·
Upvoted! Echoing my comment here: "Good to have a small, agile competitor to DocuSign. (I worked with a team that added enhanced e-signature to an existing SaaS app. I don't know anything about this particular team, but it's certainly feasible for a small company to build a compelling solution in this space.)"
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Kate Bovk - Startup & Emotions💃
Instead of a thousand words — we're on Product Hunt right now, and we could really use your support! At Sendforsign, we simplify digital contracts🤌🏻 If you have a moment, please visit our launch page. Your support would be greatly appreciated🖤 producthunt.com/posts/sendfors…
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Catchmaker
Catchmaker@_Catchmaker·
@ryanwinchester Great thread, including for #JobSeekers Plua a special note to #HiringManagers - it's fine to hire people who have had the same title for years, even decades. And people who want to move from management back into an individual contributor role.
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Ryan Winchester
Ryan Winchester@ryanwinchester·
If I plateau at Senior Software Engineer is that okay? I’ve turned down Lead. I don’t want to deal with people more. I’m bad at it. I want to write code. Mentor a bit. What’s wrong with that?
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Windward
Windward@WindwardAI·
Explore the future of #maritimesecurity with us at @Milipol_Paris! Join us as we showcase the most innovative solutions to protect our maritime borders & territorial waters. Visit our booth to see how our Maritime AI™ tech is setting new standards in global security. #Milipol
Windward tweet media
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Catchmaker
Catchmaker@_Catchmaker·
@tabnine Funding! And 7 #JobOpenings - tabnine.com/careers "a pioneer and market leader in ... AI-Driven software development. As one of the few Enterprise-Grade solutions in this space, we have more than 1 million developers who regularly use our product"
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Tabnine
Tabnine@tabnine·
📢 We're thrilled to announce that Tabnine has successfully raised $25 million in new investment to continue our mission to accelerate and simplify the work of developers and engineering teams while maintaining the utmost respect for privacy and security. 🎉 We extend our heartfelt thanks to all of you who have been part of our journey. Together, we are actively shaping the future of software development. ✨💜 #GenAI #TechNews #SoftwareDevelopers tabnine.com/blog/tabnine-s…
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Catchmaker
Catchmaker@_Catchmaker·
@TechCrunch Funding! And 17 #JobOpenings in engineering, operations, and more. boards.greenhouse.io/maymobility "May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think."
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