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KasianFranks

623 karma · joined October 22, 2015

https://cymetica.com https://vectorspacebio.science
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KasianFranks··on Ethereum is Doomed (2016)
Anybody have rust removal for my pick? May need some for my shovel too. Getting blockchain confused with a capital raising trading vehicle is the wrong move.
KasianFranks··on Show HN: A tool to find related subreddits
Anvaka, when you accept BTC or ETH let us know, we can contribute to your efforts.
KasianFranks··on Wittgenstein’s theories are the basis of all modern NLP
Inaccurate. This is absurd. Epigraphy is the basis of all modern NLP/NLU. Add computational epigraphy, neuroscience, linguistics and cognition. Ref: Word2Vec is based on an approach from Lawrence Berkeley National Lab

""Google silently did something revolutionary on Thursday. It open sourced a tool called word2vec, prepackaged deep-learning software designed to understand the relationships between words with no human guidance. Just input a textual data set and let underlying predictive models get to work learning."

“This is a really, really, really big deal,” said Jeremy Howard, president and chief scientist of data-science competition platform Kaggle. “… It’s going to enable whole new classes of products that have never existed before.” https://gigaom.com/2013/08/16/were-on-the-cusp-of-deep-learn...

Spotify seems to be using it now: http://www.slideshare.net/AndySloane/machine-learning-spotif... pg 34

But here's the interesting part:

Lawrence Berkeley National Lab was working on an approach more detailed than word2vec (in terms of how the vectors are structured) since 2005 after reading the bottom of their patent: http://www.google.com/patents/US7987191 The Berkeley Lab method also seems much more exhaustive by using a fibonacci based distance decay for proximity between words such that vectors contain up to thousands of scored and ranked feature attributes beyond the bag-of-words approach. They also use filters to control context of the output. It was also made part of search/knowledge discovery tech that won the 2008 R&D100 award http://newscenter.lbl.gov/news-releases/2008/07/09/berkeley-... & http://www2.lbl.gov/Science-Articles/Archive/sabl/2005/March...

A search company that competed with Google called "seeqpod" was spun out of Berkeley Lab using the tech but was then sued for billions by Steve Jobs https://medium.com/startup-study-group/steve-jobs-made-warne... and a few media companies http://goo.gl/dzwpFq

We might combine these approaches as there seems to be something fairly important happening here in this area. Recommendations and sentiment analysis seem to be driving the bottom lines of companies today including Amazon, Google, Nefflix, Apple et al."

KasianFranks··on Geoff Hinton Wants Computers to Think More Like Brains
One symbol: computational neuroscience
KasianFranks··on What Is Going to Happen in 2019
Outside of VC's there's an entire group of software engineers in the financial markets, in particular decent quants that double as ML/NLP specialists, who also understand the value of globally accessible trading vehicles. Time to put the crypto pitchforks away.
KasianFranks··on Google Data Studio in 10 Minutes: Step-By-Step Guide
Datasets https://medium.com/@492727ZED/datasets-with-context-control-...
KasianFranks··on As Bitcoin Sinks, Industry Startups Are Forced to Cut Back
We'll just file this under "comments that won't age well"
KasianFranks··on As Bitcoin Sinks, Industry Startups Are Forced to Cut Back
Precisely
KasianFranks··on The Illustrated BERT: How NLP Cracked Transfer Learning
True, we built NLP/NLU vector representations from the ground up to tackle hypothesis generation and hidden relationship detection connected to genes, genomic pathways and therapeutics related to extending human lifespan, DNA repair and LET radiation chromosomal damage repair at Lawrence Berkeley National Lab from 2002 to 2008 https://www.google.com/patents/US7987191 followed by Tomas Mikolov's/Google's work and preceded by countless others of course.
KasianFranks··on Can We Really Inherit Trauma?
Min 29:25 - Nessa Carey presents an experiment with epigenetic evidence here https://youtu.be/9DAcJSAM_BA?t=1765
KasianFranks··on Bitcoin Was a Bubble and It Popped
"New inventions won't all be successful" thanks for the stroke of brilliance!
KasianFranks··on Novogratz's Crypto Trading Desk Lost $136M in Nine Months
More proof from HN that cryto is bad.
KasianFranks··on Bitcoin Was a Bubble and It Popped
So lets just stop innovating right here right now. Bad logic.
KasianFranks··on Bitcoin Was a Bubble and It Popped
Like the dot com bubble, and here we are today bigger, better and stronger. Think in terms of a public trading vehicle that enables anyone to raise capital in a global marketplace. Either real value gets translated to that vehicle or it does not.
KasianFranks··on How AI could help us with ancient languages like Sumerian
NLP(NLU, NLI, NLG) is the tip of the spear when it comes to AI and has its roots in the study of Epigraphy [1] which is essentially the study of ancient inscriptions and symbols. Analyzing human language and thought surrounding objects is key to advances in AI.

The study of epigraphy is the microscope while the study of human aging, extending human lifespan is the telescope that lets us see the stars in the future. With Epigraphy you can change dates in human history which changes a lot of what we thought we knew about ourselves.

The best NLP is based on principles that underpin epigraphy combined with neuroscience and research in cognition. The interesting part is that unbeknownst to most, the study of the past (epigraphy/NLP) is being used to solve for the future (space biosciences - LET radition, DNA repair, extending human lifespan making real space travel possible for the purpose of inhabiting other planets). Sounds out there, but this is what we work on at LBNL/DOE/DARPA/NASA related to predicting new interactions between proteins, genes etc.

Fun fact: Epigraphy, ciphers/deciphering, info security, cryptography are all related [2]

[1] https://en.wikipedia.org/wiki/Epigraphy

[2] From the epigraphy mailing list:

"Georges Depeyrot <Georges.depeyrot@ehess.fr>

To: epigraphy@yahoogroups.com

Sep 20, 2003 at 10:28 PM

Dear List members, We are publishing books on numismatics and economy (see Moneta <http://www.cultura-net.com/moneta/content.htm>). I just want to inform you that one of the books in press is devoted to "coins, money and epigraphy, 1st - 3rd c." (author, Pr St. Mrozek, Uty of Gdansk, Poland). It will concern the Roman Empire."

KasianFranks··on Crypto Market Crash Leaving Bankrupt Startups in Its Wake
Precisely.
KasianFranks··on Coinbase is exploring the addition of new currencies
More emotionally charged anti-crypto commentary that will not age well. If you've ever spent time as a quant, you'd know everything about crypto is about it being a trading vehicle with global public market exposure. Capital is raised from the capital markets and if it swells, ride it.
KasianFranks··on Crypto Market Crash Leaving Bankrupt Startups in Its Wake
Best time to build a crypto company. It almost seems like too many people in the HN filter forgot about how closely this resembles the dotcom boom and bust.
KasianFranks··on Bitcoin Derivatives That Cost $1M Will Soon Be Worthless
Not to shorts.
KasianFranks··on Bitcoin plunges again. Now the only currency worse than Bitcoin is Venezuela’s
This is when you buy.
KasianFranks··on Show HN: An experimental Github/trending User Interface
Reminds me of Grokker https://www.researchgate.net/figure/Grokker-Visualization-of...
KasianFranks··on The State of the TclQuadcode compiler (2017) [pdf]
This quote sums it up for me "I believe Tcl has been mischaracterized and has suffered in terms of open popularity. But for insiders, it remains as one of those secret indispensable Ninja tools that is used over and over again for competitive advantage." https://news.ycombinator.com/item?id=12025218
KasianFranks··on Crippling DDoS vulnerability put the entire Bitcoin market at risk
1. They always do. 2. We've been in the longest bull market in history 3. Black Swans exists 4. The 'message of the markets' in this case, the yield curve along with a few other related reliable predictors: https://fred.stlouisfed.org/series/T10Y3MM
KasianFranks··on Crippling DDoS vulnerability put the entire Bitcoin market at risk
We're witnessing the maturation of crypto as these kinds of resolutions only make it stronger. It's going to be used as a flight-to-quality asset class after the traditional markets crack in a few months.
KasianFranks··on Bitcoin's Use in Commerce Keeps Falling
When you can engineer sophisticated scripts or wrappers around a globally accessible immutable tradable asset it increases functionality and innovation in financial products which includes autonomous machines trading crypto with one another in exchange for data. I think we're in for a world of fun.
KasianFranks··on Bitcoin's Use in Commerce Keeps Falling
Bitcoin (and crypto) is not a currency, commodity, stock or bond. It's a combination which makes it a completely new and different kind of asset class. It's a programmable asset that primarily serves as a 'trading vehicle' in the mind of traders and Wall St. Understanding this helps to understand why Goldman and others are stepping over themselves to setup trading desks for most crypto now and in the future.
KasianFranks··on John Ousterhout: My favorite sayings
John is the reason why I use Tcl to this day. Good times back at Sun Labs.
KasianFranks··on Ask HN: Simple, beginner friendly ETL / Data Engineering project ideas?
This is the best advice I've seen here. The purpose of data engineering is to support a much larger effort related to scientific discovery or increasing bottom line revenue. Don't start with the language, tooling, libs and architecture, start with a purpose and goal. Most goals relate to mimicking a portion of human cognition in terms of pattern matching.

If you're building a house you don't start by picking out hammers and saws.

This takes being passionate about your data and its pre and postprocessing as a data engineer.

KasianFranks··on Augur protocol leads to Ethereum-based ‘assassination market’
More proof that crypto is bad
KasianFranks··on Coinbase reportedly gets approval from US regulators for tokenized securities
They have competition "$6.3T BlackRock Targets Cryptocurrency & They’re Not the Only Ones" https://hackernoon.com/6-3t-blackrock-targets-cryptocurrency...
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