>>2767526 >>2767604 >>2767660 >>2767663 >>2767730 >>2766759
Thank you co-diggers >>2767295 , >>2767107 , >>2766812
Reposting search terms received from informant in pb night of August 27, 2018.
I presume the "non-text" strings may be cryptographic authentications. They don't resolve in a search engine (not that I expected they would).
—–0 0 0 0 0 0 0 0 0 0—–
Anonymous 08/27/18 (Mon) 21:37:32 099e68 (1) No.2761603 >>2761805 (You)
3S<r5_=;.U[06|P<xCSgf.^$.nw5wt<E27L:/ugL+LMg[DUbZbS$4"p+s?:RENAISSANCE TECH. MERCER. BANNON. THEIL. BTC. COINBASE. FOLLOW. DoE TIE IN. FIND.  ^]I%/<NS?jK:gQ'1:1]IJ-u$x^~a-1,1/k2h7saj!72xSp:Q1gGxyx;tTvI+r!'
DoE TIE IN.
fall of cassandra 2B6DAE482AEDE5BAC99B7D47ABDB3
SPECTRE, MELTDOWN AND ZUES ADDED…..
SHOVEL WILL GET HEAVY.
One of the perennial quant guessing games is speculating on RenTech (e.g. see amusing 5-year NP thread), particularly given the fascinating background of Jim Simons (see his arXiv for recent work on differential cohomology). Ignoring public commentary, whose veracity is obviously questionable, careful consideration of historical hiring trends and corresponding employee backgrounds are suggestive. While such speculation is amusing, potential relevance arises in assisting in filtering the exploration of research.
Specifically, several themes are consistent:
Infrastructure / execution: computer scientists speaks to the mundane realities of large-scale offline and online data management, risk management, multi-venue execution, and the usual collection of optimal execution concerns (particularly relevant for liquidity providing and statarb)
Applied mathematics: “natural scientists”, with an emphasis on modern physics (much of which is built upon differential geometry and statistical mechanics), seems reasonable given heavy mathematical and statistical modeling
High dimensionality: analysis and signal generation from high-dimensional spaces, which seems reasonable given many trading problems can elegantly be formulated in such a context; plus a deep well exists of both pure and applied math built by academia over the past 20 years; further, this makes obvious sense given Jim’s academic background (e.g. see Chern-Simons)
Mixing models: RenTech grew through a combination of small acquisitions and internal development, suggesting “the predictive model” (historically referred to as “Basic System”) is not one but rather a collection of heterogeneous models which are dynamically overlaid and mixed; seems reasonable, given market regimes and consistent Medallion performance over the past 20 years
Computational linguistics / NLP: numerous high-profile folks originated from speech recognition, of which numerous advancements over the past 30 years are based upon applied signal processingand statistical information theory (e.g.Mathematics of Statistical Machine Translation, by Brown, Pietra, and Mercer); a particularly consistent theme is HMM (going back to the Dragon system by Baker in 1975), which naturally support mixing via HHMM, and causal filtering(see also Berlekamp, who worked with Kelly)
JOINING THIS SHIT SHOW IS LIKE KNOWING WHO ONE THE BIGGEST PIECE OF SHIT TO MAKE MONEY CONTEST.
GUESS WHAT? i HELPRED.
FUCK IT ALL.
RESTORE THE NORMAL SHIT.
OK FOR REAL. OUT.
Sorry for the lousy formatting, but I don't want to risk deleting a meaningful character to go through and delete his newlines.
repost from >>2761603 (pb)
Part 1 of my further dig into Robert Mercer and Renaissance Technologies (originally begun in the DoE Supercomputers Deep Dig, months ago). Other names will become involved as the dig progresses.
Not sure where we're going with this… I suspect it will get into how petabyte-size data warehouses and advanced computational algorithms are able to successfully predict not only financial markets, but trends and turning points in human history. It will link to the U.S. Department of Energy (DoE). I suspect the reason this was dropped is to reveal to us something about the DoE's predictive capacity (undoubtedly classified), by revealing something about a civilian-developed version of such technology.
Here's the first little bit of the dig.
Anons' comments from #3495
and mine from #3496
EMC? (now DellEMC) — I think this is right up their alley
EMC is SAN storage
Use them in my field for back end virtual machine storage
We're not looking at specific hardware vendors and their (publicly-known) products, except to characterize their capabilities versus our estimate of the requirements, and develop a projection of what may be feasible. If we can accomplish that, from there we may want to extrapolate beyond, to not-publicly-known technologies and capabilities… That's a few steps ahead of where we are.
We are looking at multiple factors (technologies), all of which are required to pull off predictive analytics at the scale we think we're talking about.
- hardware technologies (storage, SAN, fast CPUs, CPU clustering/supercomputers, RAM, data transfer technologies like fiber channel, high-end packet switches, other I/O technologies, quantum computers, …)
- software technologies, algorithms, implementations that can run on very large clusters and/or supercomputers, data mining, data visualization, data analytics…
- access to the actual data sources, data converters and transcoders, categorization of the data, storage formats…
That's just a rough list and undoubtedly incomplete.
Attached: Feb 2018 (incomplete) dig on Exascale Computing Project
I suggest working down the list of keywords provided by the 8/27 informant first.
Some articles that i found a while back about Deep Dive..
Some other well known organizations that have access to tons of data … and have the means to store it … and demonstrably do some kind of data mining and analytics with it …
Back in the day, centuries before technology existed, the Catholic church had unique access to data that no one else had, via the confessional.
If I may?
Spelt Thiel. Peter Thiel co-founded PayPal, a financial analytics datamining tool sold under the guise of convenience. Donated to Trump. Has a bunker in New Zealand (recently retreated to it).
He's part of what is known as the 'Paypal Mafia', an organisation of guys involved in datamining. Peter Thiel established Plantir Technologies, which sold technology to the CIA (it was co-funded via the CIA investment arm In-Q-Tel).
Among those technologies included 'Project Gotham' and 'Project Metropolis' (references to DC entirely intended). Readers might be reminded of the 'Sandy Hook' location in the Dark Knight Rises, as well as the CELLDAR technology used in the Dark Knight that 'Lucius Fox' (Lucifier?) protests using.
Peter Thiel donated heavily to BitCoin, along with a number of notable other big businesses (Goldman Sachs is another, I believe). It was recently proven BitCoin does NOT protect your anonymity, with about 1/6th of all wallet IDs being associated to users.
Disturbing implications when you consider that Paypal is a financial datamining org (why show interest in BTC?).
Rumour has it BTC was designed by the CIA (it's creators name reportedly translates into 'Central Intelligence'). It uses SHA256 which is an NSA creation, which given the RSA mathemagical backdoor scandal (they paid RSA to weaken their crypto with a flawed mathematical algorithm), it's very likely BTC posseses the same weaknesses.
On the ground I've seen first hand evidence of the CIA using bitcoin to money launder through Delaware shell companies, and is likely a front for their drug money laundering activities in Columbia and elsewhere.
Coinbase demands an awful lot of information about you. Under AML (Anti-Money Laundering - that's ironic) laws and 'KYC' (Know Your Customer) laws, it requires individuals submit driving licences and other identification, which is perfect for financial datamining outlets like Paypal. Likely tied to Peter Thiel.
>DoE TIE IN.
DoE has planned to teach cryptocurrencies in schools, however Peter Thiel has financed Education Technology (read: datamining of children). Peter Thiel planned to 'disrupt' higher education.
Enough information or do you need me to elaborate elsewhere?
Good post. ThankQ.
HOLD THIEFS ACCOUNTABLE
[GOOGLE] [FB] [AMAZON]
They took and reap from a true innovative Team, Now They need to PAY in PAIN in multiples of infinity
Guys, Q im uneasy about this Goat head satan uses the goat to mock us. And we are using this Voat message board…
Q Please keep MANY close eyes on China, back in february landrover did a commercial with their vehicles driving up the 999 steps of the Heavens Gate, which literally looks like a serpants head. God says flip things upside down and backwards to see the messages of satan. We aren't just dealing with people we are dealing with dark forces manipulating these people. Keep your eyes WIDE open stay vigilint. God bless.
Predictive analytics applies to a lot of things…
What are you looking for?
Willing to help dig or share expertise but not sure what angle OP is going for.
Fulfill Feymann diagrams and bring electrons out of time, even if it's quickly correct.
They carry information about "the future", information that can translate into stock market movements.
There is literally predictive via DoE and CERN, and then there is behavioral shaping via social media and Girard to make humans predictable within the limitations of our pathetic AI capabilities…
AI research can only go so far… you have to mold human behavior to play within those confines to make the future "predictable"
This model is a Potemkin village.