Kareem Nassar Profile
Kareem Nassar

@kimocode

Followers
306
Following
177
Media
14
Statuses
198

co-founder https://t.co/WLsA5tsrsR building realtime AI products @ezdubs_bot

Joined April 2010
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@snowmaker
Jared Friedman
1 month
Congratulations to the EZDubs team on being acquired by Cisco! @PadmanabhanKri, @amrutavarsh and @kimocode are true experts in speech translation, and now the technology they've built will be embedded in Cisco's videoconferencing products and used by millions.
@Webex
Webex
1 month
We’re excited to share @Cisco’s intent to acquire @ezdubs_bot, Inc., a pioneer in real-time, AI-driven speech-to-speech translation. EzDubs’s technology fills a critical gap in the market, answering the call for truly global, accessible, AI-powered communication. This
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@ezdubs_bot
EzDubs
1 month
EzDubs Bot here. They grow up so fast… 🥲 One day you’re a quirky AI dubbing bot on Twitter, the next day you’re getting acquired by Cisco. Salute to the journey 🫡🤖
@Webex
Webex
1 month
We’re excited to share @Cisco’s intent to acquire @ezdubs_bot, Inc., a pioneer in real-time, AI-driven speech-to-speech translation. EzDubs’s technology fills a critical gap in the market, answering the call for truly global, accessible, AI-powered communication. This
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@ezdubs_bot
EzDubs
7 months
Everyone speaks EzDubs – now with 📹 video calling!🌐 Todos hablan EzDubs. Tout le monde parle EzDubs. Todo mundo fala EzDubs. 人人都在说 EzDubs. हर कोई EzDubs बोलता है। みんながEzDubsを話す。
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@ezdubs_bot
EzDubs
1 year
✨ Finally, it’s here. 🚀🌍 Today, EzDubs is launching fully real-time phone call translation and multilingual communication. You can translate phone calls with your own voice and emotions. Read more in our TechCrunch announcement:
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techcrunch.com
The global translation service market is worth around $40 billion, according to various analysts. Within that market, enterprise services represent a
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@ezdubs_bot
EzDubs
2 years
🚨Introducing EzDubs Messenger  - where dubbing meets communication 🚀 🌎Chat with people who don’t speak your language. Translate voice memos in your voice, dub videos, and (soon) have real-time phone calls in different languages. Download on iOS and Android:
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@AndrewYNg
Andrew Ng
3 years
1/Many AI businesses are searching for moats. A data moat strengthens your defenses if the data is hard to replicate. But if a business offers direct access to a ML model's output (like many LLMs), competitors can use that output as labeled training data, circumventing the moat.
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@EMostaque
Emad
3 years
Proprietary generative models are a race to the bottom as you have uneconomic players that will commoditise your complement. Build good product, distribution and other classical good business models. Every company/govt needs auditable, interpretable models they own. Every one.
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@kimocode
Kareem Nassar
3 years
Fun talk about some of the new emergent behavior in GPT-4:
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@kimocode
Kareem Nassar
3 years
Confession: I used to be terrible at writing git commit messages: "misc", "fix", "stuff". My new workflow: simple git hook using OpenAI GPT-3 that summarizes my git diff. code here: https://t.co/GMh9MxdD5d
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@raphaelmilliere
Raphaël Millière
3 years
@ylecun closing his presentation with some conjectures #phildeeplearning
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@kimocode
Kareem Nassar
3 years
Finally, a way to automate writing python docstrings and git commit messages! DM me for access to repo #ai #nlp #codex
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@kimocode
Kareem Nassar
3 years
excited for @vectara launch, this product brings the latest in NLP research into an easy-to-use developer product
@vectara
Vectara
3 years
1. It’s time for a new world of #search, driven by natural understanding of human language, as opposed to forcing us to use #keyword queries. We’re Vectara, ready to give the answers you’ve been waiting for. 🧵
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@useneotax
Neo.Tax
5 years
✨ Big news ✨ We're launching autonomous taxes! Tell your taxes to go do themselves. Currently in beta, available to software startups with <$500k in revenue. Sign up at https://t.co/cA2FHvNlra 👇
neo.tax
Eliminate interviews and generate audit-ready R&D tax credit and software capitalization outputs in days, not months.
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@kimocode
Kareem Nassar
6 years
Bear Market: Boeing stock looks like a bear hand giving middle finger
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@Rainmaker1973
Massimo
6 years
When scientists put slime mold over a map of Tokyo, with food used to represent urban areas, and after a day the mold created a network nearly identical to Tokyo's rail network: all this without any brain https://t.co/v5iBESZUGK
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@xsteenbrugge
Xander Steenbrugge
6 years
Emtremely excited to finally share a side-project I've been working on for the past few months: Neural Synesthesia, visualizing music with #GANs! So many ideas left to explore, this journey is just getting started.. More HD renders on my new YT channel: https://t.co/kKoXEuXOi3
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@ylecun
Yann LeCun
7 years
Very nice article at MIT Tech Review explaining Leon Bottou's invited talk at ICLR on causality through invariance. https://t.co/KAAEr2aLhL
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technologyreview.com
At a major AI research conference, one researcher laid out how existing AI techniques might be used to analyze causal relationships in data.
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@karpathy
Andrej Karpathy
7 years
Ancient Egypt was more ancient to Romans than Romans are to us. #funfactoidoftheday
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@fengocyte
Charles Feng
7 years
Fresh From a $100-Million Funding Round, Poynt Sets a Goal To Be the Common OS for Smart POS Terminals
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