KasianFranks

[deleted]

Both are trading vehicles and are treated the same by traders [1] similar to the VIX. Hedge funds, asset management companies and institutions spend their time and their clients money trading, not investing [2]. For groups like these, trading is where the money is.

[1] https://news.ycombinator.com/item?id=13844765

[2] https://www.investopedia.com/ask/answers/12/difference-inves...

We're talking about trading vehicles here. Traders will trade.

To keep things in perspective, twitter (TWTR) is trading below its IPO price.

This is why Google cannot be compared to Facebook.

It's a trading vehicle.

These are not the cryptos you're looking for. You don't want ones that trade like currencies, you want ones that trade like stocks.

Related to datasets for clustering pharmaceutical stocks: Dexamethasone Announcement Could Have Made Hedge Funds A Fortune — Alpha Week

https://medium.com/@492727ZED/dexamethasone-announcement-cou...

The telegram group at vectorspace.ai

NLP has come pretty far: "Released by Symantec in 1985 for MS-DOS computers, Q&A's flat-file database and integrated word processing application is cited as a significant step towards making computers less intimidating and more user friendly. Among its features was a natural language search function based on a 600 word internal vocabulary." https://en.wikipedia.org/wiki/Q%26A_(Symantec)

No you did not.

Make crawlers not scrapers.

Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span - Blei DM, Franks K, Jordan MI, Mian IS. - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1533868

Unsupervised learning

I read these. They helped improve building search engines. Hidden relationships are what it's all about.

NLU. It relates to extracting intelligence from human language. Most of which comes in the form of text.

Great work. At Lawrence Berkeley National Lab in the biosciences (formerly life sciences) division, headed by Mina Bissell[1], one of the leading researchers of breast cancer, we developed NLP-based vector space modeling (embedding) in 2002 to augment genomic research in breast cancer, the extracellular matrix and aging. That was about 2 years after the first human genome was sequenced. The Lab patented[2] some of our methods and it helped pave the way for approaches like word2vec and a few others. There's a lot of great work yet to be in this area and we continue to make slow and steady progress defined by generating new insights, hypotheses and sometimes discoveries using approaches in NLP/NLU. We've recently been applying vector space modeling in NLU to LET radiation research (DNA damage repair) associated to space biosciences[3] which is exciting for extending and protecting human lifespan for space travel. Interdisciplinary aspects are key.

[1] https://www2.lbl.gov/LBL-Programs/lifesciences/BissellLab/ma...

[2] http://www.google.com/patents/US7987191

[3] https://www.nasa.gov/ames/research/space-biosciences/for-res...

We used to call 'data science' data mining as anyone that spent time on KDnuggets might remember https://en.wikipedia.org/wiki/Data_mining

The float was also over sized at 290M shares while Lyft's was at 15M shares.

Give it up. The sky albready fell.

Cryptos serve primarily as a trading vehicle. This is the most important point. It enables startups to raise capital from a global capital marketplace while allowing traders from around the world to participate. This is unlike any other marketplace. You can't do that with Nasdaq or NYSE as you have to be accredited investors with US bank accounts unless you're savvy enough to work through LLCs.

Andreessen and friends see this too https://www.cnbc.com/amp/2019/05/10/sec-approves-new-silicon...

Spot on. We saw this with BBSs vs Compuserve and then with AOL, MySpace, Friendster etc.

> venture capitalists have long traded a lack of Wall Street-style oversight for the promise that they invest mainly in new shares of private companies. It was a tradeoff firms gladly made—until the age of crypto, a type of high-risk investment the SEC says requires more oversight. So be it, says Andreessen Horowitz. By renouncing its venture capital status, it’ll be able to go deeper on riskier bets: If the firm wants to put $1 billion into cryptocurrency or tokens, or buy unlimited shares in public companies or from other investors, it can.

Pitchforks and funding purism aside (forget about blockchain debates), crypto assets are here to stay. They're the new publicly traded vehicles and function as a way for new startups to raise capital from new truly global 'capital markets' along with being a valuation metric. a16z figured this out. They knew what happened with facebook in SecondMarket [1] and also knew the largest upside in shareprices (aka IPOs/exits) are dictated by a public market marketplace, not with private startups.

Factor what Fidelity with $6T AUM has already released in rolling out global crypto services [2].

Separate crypto, as a capital raising vehicle and trading vehicle, from 'blockchain' and then it all begins to make sense. Real scientific and technical due diligence will help too [3].

[1] http://fortune.com/2012/05/18/facebooks-pre-ipo-pricing-hist...

[2] https://www.coindesk.com/coindesk-most-influential-blockchai...

[3] https://medium.com/@492727ZED/vectorspace-ai-due-diligence-d...

Nurture over nature, always. Epigentics/genomics is telling us how we'll really evolve over the next few million years and it will have more to do with environment than our current genome.

In other words, datasets.

This person is unfamiliar with what it means to run a public trading vehicle along with the value that comes with that. Public trading vehicles are designed to exercise capital from the capital markets. This is what enables public companies to grow. Crypto another form of a public trading vehicle in a new global capital marketplace and it helps legitimate companies grow.

Artchain

Lets also not forget Computational Theory of the Mind.

This is great.