So could we have a relevant ads this way finally?
Readit Newssnaky commented on Wearable gadgets that can read your mind cnbc.com/2020/01/10/ces-2... · Posted by u/prostoalex
snaky commented on BlackRock’s decision to dump coal signals what’s next theconversation.com/black... · Posted by u/evolve2k
snaky commented on Toronto is surveillance capitalism’s new frontier torontolife.com/city/toro... · Posted by u/dotcoma
>Most people are not hugely worried that Google has some magic power to control us due to data capture,
And yet most people are worried about Nineteen Eighty-Four's Big Brother becoming a reality.
> about half of U.S. adults (49%) say it is acceptable for the government to collect data about all Americans in order to assess potential threats.
https://www.pewresearch.org/fact-tank/2019/11/15/key-takeawa...
snaky commented on Washington pressures TSMC to make chips in US asia.nikkei.com/Business/... · Posted by u/baybal2
Ironmongers are also a much smaller - less important - share of the US economic pie than they used to be, back when US manufacturing was a much larger share of the economy. Now, granted, even with their lessened share of economy, they still of course carry outsized influence politically as proxy arms of the Pentagon.
As recently as the first Gulf War, Microsoft (for example) was a tiny speck compared to the military industrial complex. In five years or so, Microsoft's annual sales will be equal to about 25% of the annual US military budget (not meant to be apples to apples, it merely points out the massively increased scale of big tech vs eg 1990; Microsoft's sales for fiscal 1990 were... $1.18 billion).
To put it into tangible dollar terms:
Apple, by itself, generates approximately twice the annual operating profit of all US defense contractors combined.
Apple benefits from calm globalization, not war.
Big tech humiliates the military industrial complex on generating profits. And big tech is still expanding, whereas most major sectors are not. Which is to say, big tech money looks like it's going to double in size again in the next ten years (7% * 10 years).
AAPL + MSFT + GOOGL + FB + INTC + AMZN = ~$220-$230 billion in annual operating profit for 2020.
There are three trillion dollar corporations in there (Amazon is just shy of it; and FB will join them in that club within a few years). The rest of the world has one, which isn't really a corporation, in Aramco. It's $5.5 trillion in combined market cap. The Tokyo stock exchange is the third most valuable exchange by total market cap in the world, at about $5.5 to $5.7 trillion (the next two are US exchanges).
So digital giants have more lobbyist potential (in financial terms only, they cannot compete in massive 'job creation' in a districts all around the US, especially blue collar jobs) than the whole MIC, and the incentives to use it to counter lobbyist potential of warmongers. Why don't they use it for actual lobbying-for-global-piece?
And nowadays we have web novels with chapters every day/every few days.
And forums where readers still communicate with authors shaping the new chapters.
> This essay will focus on two particularly striking mid-nineteenth-century examples of the complex relationships that unite the writer, readers, and editor of a serial. The first one is a French novel. Les Mystères de Paris, by Eugène Sue, which was serialized over a year and a half in 1842-43 in the Paris daily Le Journal des Débats Politiques et Littéraires, which translates literally as the Journal of Political and Literary Debates; the second is Uncle Tom's Cabin, by Harriet Beecher Stowe, which first appeared in the antisîavery weekly, the National Era, between 1851 and 1852.
> My first point is that in the case of both works, apart from the fact that they aimed at social reform and were tremendously popular and violently criticized, their respective readers played a role in giving final form to each novel, particularly in terms of length. I will then examine the locus of the discussion that is being carried on between the readers and the writer. In Stowe's case, since she was writing far from Washington, where the National Era was based, the conversation between the reader and the writer was carried on in the columns of the Era itself. In Sue's case, the correspondence between reader and writer was mostly conducted via private letters, for reasons I will go into later. Sue kept more than three hvmdred of the letters he received while writing Les Mystères; those letters have now been edited and published. As can be imagined, they provide a rare and invaluable insight into the interaction between reader and writer during the publication of a serial.
snaky commented on Language as an intellectual tool: From hieroglyphics to APL (1991) citeseerx.ist.psu.edu/vie... · Posted by u/kick
“[..] to present to the eye some picture by which the course of their reasonings might be traced: it was however necessary to fill up this outline by a tedious description, which in some instances even of no peculiar difficulty became nearly unintelligible, simply from its extreme length”
- Babbage on Java, 1821.
My stumblings in APL involve a continuous adjustment of functions and data to fit each other, an impedance matching, a continuous going up and down lochs, now to enclose this, now to align this vector with that nested vector, now to mix that nested vector into a matrix to feed into a function with a first axis rank adjustment.. and it feels like a system built of ill-fitting parts because of it.
Perhaps it’s not APL inherently being an elegant notation, but smart people’s ability to express their thoughts elegantly in whatever notation they are using?
I had this feeling exactly listening (great, as everything Aaron does) presentation about manipulation and transformation of trees in APL, https://www.youtube.com/watch?v=hzPd3umu78g
snaky commented on Maybe You Don't Need Kubernetes (2019) endler.dev/2019/maybe-you... · Posted by u/WolfOliver
If you've forgotten about NoSQL or BigData, chances are your shop really just overshot how much data and traffic they have.
One modern PC server with PostgreSQL can handle about 1 mln transactions per second.
http://akorotkov.github.io/blog/2016/05/09/scalability-towar...
snaky commented on Maybe You Don't Need Kubernetes (2019) endler.dev/2019/maybe-you... · Posted by u/WolfOliver
You said it quite clearly, Fortune 10, which rules out 99% of all companies out there.
And 5 if not 9 out of that Fortune 10' NoSQL dbs were just tied with a duck tape ('Our frontend team needs something they could understand - Ah okay then') to the mainframe with a previous generation of NoSQL - like ADABAS, IMS or z/TPF - and a ton of COBOL code where all the work is done since forever.
snaky commented on What I think what we need to do to keep FreeBSD relevant (2019) leidinger.net/blog/2019/0... · Posted by u/rodrigo975
It seems some highest-performant enterprise solutions consider the MS-DOS way as well.
"The Coherent Accelerator Processor Interface (CAPI) is a general term for the infrastructure that provides high throughput and low latency path to the flash storage connected to the IBM POWER 8+ System. CAPI accelerator card is attached coherently as a peer to the Power8+ processor. This removes the overhead and complexity of the IO subsystem and allows the accelerator to operate as part of an application. In this paper, we present the results of experiments on IBM FlashSystem900 (FS900) with CAPI accelerator card using the "CAPI-Flash IBM Data Engine for NoSQL Software" Library. This library provides the application, a direct access to the underlying flash storage through user space APIs, to manage and access the data in flash. This offloads kernel IO driver functionality to dedicated CAPI FPGA accelerator hardware. The results indicate that FS900 & CAPI, together with the metadata cache in RAM, delivers the highest IO/s and OP/s for read operations. This was higher than just using RAM, along with utilizing lesser CPU resources."
OTOH, "As one step toward building high performance NVM systems, we explore the potential dependencies between system call performance and major hardware components (e.g., CPU, memory, storage) under typical user cases (e.g., software compilation, installation, web browser, office suite) in this paper. We find that there is a strong dependency between the system call performance and the CPU architecture. On the other hand, the type of persistent storage plays a less important role in affecting the performance."
snaky commented on What I think what we need to do to keep FreeBSD relevant (2019) leidinger.net/blog/2019/0... · Posted by u/rodrigo975
That's not a bad idea. You'll need some sort of mechanism to make sure they don't step on each other's toes, but otherwise it's a sound concept, not unlike MS-DOS.
It seems some highest-performant enterprise solutions consider the MS-DOS way as well.
"The Coherent Accelerator Processor Interface (CAPI) is a general term for the infrastructure that provides high throughput and low latency path to the flash storage connected to the IBM POWER 8+ System. CAPI accelerator card is attached coherently as a peer to the Power8+ processor. This removes the overhead and complexity of the IO subsystem and allows the accelerator to operate as part of an application. In this paper, we present the results of experiments on IBM FlashSystem900 (FS900) with CAPI accelerator card using the "CAPI-Flash IBM Data Engine for NoSQL Software" Library. This library provides the application, a direct access to the underlying flash storage through user space APIs, to manage and access the data in flash. This offloads kernel IO driver functionality to dedicated CAPI FPGA accelerator hardware. The results indicate that FS900 & CAPI, together with the metadata cache in RAM, delivers the highest IO/s and OP/s for read operations. This was higher than just using RAM, along with utilizing lesser CPU resources."