Ivan🐥💙

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Ivan🐥💙

Ivan🐥💙

@SiliconIvan

Culver City, CA Katılım Nisan 2016
836 Takip Edilen704 Takipçiler
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kache
kache@yacineMTB·
Everyone is so full of shit. You can get so far ahead in your life by simply just not being full of shit. So many people saying Lets Build but have never built anything in their life, never wanted to build anything in their life. Complain of a lack of jobs but can't get shit done
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Dhravya Shah
Dhravya Shah@DhravyaShah·
been building in this space for years now, and have followed nishkarsh for years as well - congrats on the launch! since this is in the same space we're building in, i dived deep into it and have thoughts. the launch itself is very hype-y, and is meant to trigger rage bait 1. it's positioned as a database, but is almost a @supermemory-like system 2. their example of "vector dbs" not being able to do this, is really a question of "embedding models". and embedding models have superpositions, they are cheap and are easily able to infer differences between them. it's not hard to ask claude to do a mini experiment to prove this (attached below). What does matter is: is it able to track how knowledge evolves? time passes? this made me curious so i read their paper 3. their research paper is hardcoding and gaming the benchmark by different prompt for every category!!! (see image below). If their benchmarking is fixed, supermemory will remain the SOTA. 4. they reinvented contextual retrieval paper by Anthropic from 2024 and called it "the orphaned pronoun paradox" 5. they mention they use a custom "in-memory vector store" = at about 500GB, you will have to pay more than $10k for just the RAM. 6. inference is run too many times in the pipeline - which means for every LLM token you ingest, you will end up paying 5x more than token cost for the graph + contextualization + storage. 7. latency and cost numbers were never reported. My hunch is because of the architecture, the latency will struggle at scale. but i can't tell - their product is behind demo gate. 8. the benchmarking code is not OSS (from what i can tell). not replicable + who knows how much context they are injecting into the model? what's the K? 9. inorganic, undisclosed ads (just read the quote tweets). influencer accounts with 400k+ followers all saying the same thing. people keep getting away with this @nikitabier lol i'm all in for healthy competition and progress in this fields, enjoy seeing good work being done by others. but its easy to just say things. "no one will check." playing the game the right way is hard, and everyone's just saying whatever they can to impress people. TLDR is: you should use this if you want to spend 2-5x more for no real marginal improvement and enjoy unhealthy research and business practices. attached: 1. experiment to disprove hypothesis of vector dbs not understanding grey vs grey 2. one of their prompts, which just says "say i dont know". they scored 100% :)
Dhravya Shah tweet mediaDhravya Shah tweet media
Nishkarsh@contextkingceo

We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

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0xSammy
0xSammy@0xSammy·
923 Clawdbot gateways are exposed right now with zero auth (they just connect to your IP and are in) That means shell access, browser automation, API keys. All wide open for someone to have full control of your device. Had Clawdbot check my setup: - Config shows bind: "loopback" - External port test: connection refused (Not exposed) If you're running Clawdbot, check yours: bind: "all" means you're on that list Fix: change to bind: "loopback" and restart. It takes 10 seconds. RT for exposure
Luis Catacora@lucatac0

Clawdbot is awesome 🦞 But I just checked Shodan and there are exposed gateways on port 18789 with zero auth That's shell access, browser automation, your API keys Cloudflare Tunnel is free, there's no excuse RT to save a ClawdBot from getting cooked

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Ivan🐥💙
Ivan🐥💙@SiliconIvan·
I’m down with Anthropic’s models (Opus) - think it’s really great, especially for codegen. But I find myself still wanting to go back to chatGPT for the UX of their interface. Anyone else sharing similar sentiment?
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Ivan🐥💙
Ivan🐥💙@SiliconIvan·
Big Juicy Context Window 🤝 TypeScript Serialization
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Jacob Ilin
Jacob Ilin@jacobilin·
Introducing Glowby GPT! Build anything from websites to games and apps with ease. Try it below...
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Founder Familia
Founder Familia@founderfamilia·
📣AUSTIN- Join LaFamilia (@FamiliaVc & @founderfamilia) on September 20th at their 2023 Hispanic Heritage Month Celebración in Austin, to elevate the local ecosystem of Latine founders and VCs! RSVP here: lu.ma/1ahoiqrp
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Founder Familia
Founder Familia@founderfamilia·
📣ATTENTION Austin Familia- our next Coworking Day event is coming to you next week on August 16th! Join us for a day of coworking, networking and sharing ideas with Austin's founder and investor community. RSVP here: lu.ma/3c2kov7o
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Ivan🐥💙
Ivan🐥💙@SiliconIvan·
@ellebeecher Reminds me of a friend of mine who had his Netflix account hacked but instead of changing the password, the hacker just made another profile. Last I heard, he just left the hackers profile there for them 😂
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elle ✨
elle ✨@heyellehogan·
Someone broke into my car and only took two cans of Diet Coke and a bag of popcorn… and they left their swiss army knife, a mini toothpaste, and some soap in my front seat… I have never been more confused in my life. But I am so grateful. 😭
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Ivan🐥💙
Ivan🐥💙@SiliconIvan·
@jonchui @Parabeac Hey Jon! We’re definitely dabbling with AI. I think our biggest questions are how can we enable the AI-augmented developer to more easily work with Parabeac and how can we leverage AI to help designers prepare for a CD/CI workflow. Sorry to hear about the challenges btw!
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Jon Chui
Jon Chui@jonchui·
@Parabeac Thanks for the heads up, Parabeac! My fingers are crossed that it's not just my global ColorStyles that are about to be converted to Flutter code 😉 Also, quick question: any plans to integrate some AI wizardry in the future? Hope to hear back soon! 🤖
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Parabeac
Parabeac@Parabeac·
Convert Global Styles & ThemeData from Figma to Flutter! In our newest update, Parabeac can now detect global ColorStyles, TextStyles, and TextTheme styles straight from Figma and output them in Flutter code. Read more about it here: bit.ly/3bYn9Bu
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Parabeac
Parabeac@Parabeac·
Parabeac now supports #Material3 Themes! Now you can choose between Material Design 2 and Material Design 3 when converting #Figma Designs to #Flutter Themes. Read more about the updates here: bit.ly/3G7sR07
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