The OpenAI Algorithm: More Data Plus More Money Equals More Intelligence

November 13, 2023

green-dino_thumb_thumbThis essay is the work of a dumb humanoid. No smart software required.

The Financial Times (I continue to think of this publication as the weird orange newspaper) published an interview converted to a news story. The title is an interesting one; to wit: “OpenAI Chief Seeks New Microsoft Funds to Build Superintelligence.” Too bad the story is about the bro culture in the Silicon Valley race to become the king of smart software’s revenue streams.

The hook for the write up is Sam Altman (I interpret the wizard’s name as Sam AI-Man), who appears to be fighting a bro battle with the Google’s, the current champion of online advertising. At stake is a winner takes all goal in the next big thing, smart software.

In the clubby world of smart software, I find the posturing of Google and OpenAI an extension of the mentality which pits owners of Ferraris (slick, expensive, and novel machines) in a battle of for the opponent’s hallucinating machine. The patter goes like this, “My Ferrari is faster, better looking, and brighter red than yours,” one owner says. The other owner says, “My Ferrari is newer, better designed, and has a storage bin”.) This is man cave speak for what counts.

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When tech bros talk about their powerful machines, the real subject is what makes a man a man. In this case the defining qualities are money and potency. Thanks, Microsoft Bing, I have looked at the autos in the Microsoft and Google parking lots. Cool, macho.

The write up introduces what I think is a novel term: “Magic intelligence.” That’s T shirt grade sloganeering. The idea is that smart software will become like a person, just smarter.

One passage in the write up struck me as particularly important. The subject is orchestration, which is not the word Sam AI-Man uses. The idea is that the smart software will knit together the processes necessary to complete complex tasks. By definition, some tasks will be designed for the smart software. Others will be intended to make super duper for the less intelligent humanoids. Sam AI-Man is quoted by the Financial Times as saying:

“The vision is to make AGI, figure out how to make it safe . . . and figure out the benefits,” he said. Pointing to the launch of GPTs, he said OpenAI was working to build more autonomous agents that can perform tasks and actions, such as executing code, making payments, sending emails or filing claims. “We will make these agents more and more powerful . . . and the actions will get more and more complex from here,” he said. “The amount of business value that will come from being able to do that in every category, I think, is pretty good.”

The other interesting passage, in my opinion, is the one which suggests that the Google is not embracing the large language model approach. If the Google has discarded LLMs, the online advertising behemoth is embracing other, unnamed methods. Perhaps these are “small language models” in order to reduce costs and minimize the legal vulnerability some thing the LLM method beckons. Here’s the passage from the FT’s article:

While OpenAI has focused primarily on LLMs, its competitors have been pursuing alternative research strategies to advance AI. Altman said his team believed that language was a “great way to compress information” and therefore developing intelligence, a factor he thought that the likes of Google DeepMind had missed. “[Other companies] have a lot of smart people. But they did not do it. They did not do it even after I thought we kind of had proved it with GPT-3,” he said.

I find the bro jockeying interesting for three reasons:

  1. An intellectual jousting tournament is underway. Which digital knight will win? Both the Google and OpenAI appear to believe that the winner comes from a small group of contestants. (I wonder if non-US jousters are part of the equation “more data plus more money equals more intelligence”?
  2. OpenAI seems to be driving toward “beyond human” intelligence or possibly a form of artificial general intelligence. Google, on the other hand, is chasing a wimpier outcome.
  3. Outfits like the Financial Times are hot on the AI story. Why? The automated newsroom without humans promises to reduce costs perhaps?

Net net: AI vendors, rev your engines for superintelligence or magic intelligence or whatever jargon connotes more, more, more.

Stephen E Arnold, November 13, 2023

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Does Jugalbandi Mean De-casting?

June 1, 2023

Vea4_thumb_thumb_thumb_thumb_thumb_t[1]Note: This essay is the work of a real and still-alive dinobaby. No smart software involved, just a dumb humanoid.

I read “Microsoft Launches Jugalbandi: An AI Powered Platform and Chatbot to Bridge Information Gap in India.” India connotes for me spicy food and the caste system. My understanding of this term comes from Wikipedia which says:

The caste system in India is the The caste system in India is the paradigmatic ethnographic instance of social classification based on castes. It has its origins in ancient India, and was transformed by various ruling elites in medieval, early-modern, and modern India, especially the Mughal Empire and the British Raj.

Like me, the Wikipedia can be incorrect, one-sided, and PR-ish.

The Jugalbandi write up contains some interesting statements which I interpret against my understanding of the Wikipedia article about castes in India. Here’s one example:

Microsoft, a pioneer in the artificial intelligence (AI) field, has made significant strides with its latest venture, Jugalbandi. This generative AI-driven platform and chatbot aim to revolutionize access to information about government initiatives and public programs in India. With nearly 22 official languages and considerable linguistic variations in the country, Jugalbandi seeks to address the challenges in disseminating information effectively.

I wonder if Microsoft’s pioneering smart software (based largely upon the less than open and often confused OpenAI technology) will do much to “address the challenges in disseminating information effectively.”

Wikipedia points out:

In 1948, negative discrimination on the basis of caste was banned by law and further enshrined in the Indian constitution in 1950; however, the system continues to be practiced in parts of India. There are 3,000 castes and 25,000 sub-castes in India, each related to a specific occupation.

If law and every day behavior have not mitigated castes and how these form fences in India and India outposts in London and Silicon Valley, exactly what will Microsoft (the pioneer in AI) accomplish?

My hunch the write up enshrines:

  1. The image of Microsoft as the champion of knocking down barriers and allowing communication to flow. (Why does smart Bing block certain queries?)
  2. Microsoft’s self-professed role as a “pioneer” in smart software. I think a pioneer in clever Davos messaging is closer to the truth.
  3. The OnMSFT.com’s word salad about something that may be quite difficult to accomplish in many social, business, and cultural settings.

Who created the concept of untouchables?

Stephen E Arnold, June 1, 2023

Alphabet Google and the Caste Bias Cook Out

June 3, 2022

The headline in the Bezosish Washington Post caught my attention. Here it is: “Google’s Plan to Talk about Caste Bias Led to Division and Rancor.” First off, I had zero idea what caste bias means, connotes, denotes, whatever.

Why not check with the Delphic Oracle of Advertising aka Google? The Alphabet search system provides this page of results to the query “caste bias”:

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Look no ads. Gee, I wonder why? Okay, not particularly helpful info.

I tried the query “caste bias Google” on Mr. Pichai’s answer machine and received this result:

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Again no ads? What? Why? How?

Are there no airlines advertising flights to a premier vacation destination? What about hotels located in sunny Mumbai? No car rental agencies? (Yeah, renting a car in Delhi is probably not a good idea for someone from Tulsa, Oklahoma.) And the references to “casteist” baffled me. (I would have spelled casteist as castist, but what do I know?)

Let’s try Swisscows.com “caste bias Google”:

image

Nice results, but I still have zero idea about caste bias.

I knew about the International Dalit Solidarity Network. I navigated the IDSN site. Now we’re cooking with street trash and tree branches in the gutter next to a sidewalk where some unfortunate people sleep in Bengaluru:

image

“Caste discrimination” means if one is born to a high caste, that caste rank is inherited. If one is born to a low caste, well, someone has to sweep the train stations and clean the facilities, right? (I am paraphrasing, thank you.)

Now back to the Bezoish article cited above. I can now put this passage in the context of Discrimination World, an employment theme park, in my opinion:

Soundararajan [born low caste] appealed directly to Google CEO Sundar Pichai, who comes from an upper-caste family in India, to allow her presentation to go forward. But the talk was canceled, leading some employees to conclude that Google was willfully ignoring caste bias. Tanuja Gupta, a senior manager at Google News who invited Soundararajan to speak, resigned over the incident, according to a copy of her goodbye email posted internally Wednesday [June 1, 2022] and viewed by The Washington Post. India’s engineers have thrived in Silicon Valley. So has its caste system. [Emphasis added.]

Does this strike you as slightly anti” Land of the Free and Home of the Brave””?  The article makes it pretty clear that a low caste person appealing to a high caste person for permission to speak. That permission was denied. No revealing attire at Discrimination World. Then another person who judging by that entity’s name might be Indian, quits in protest.

Then the killer: Google hires Indian professionals and those professionals find themselves working in a version of India’s own Discrimination World theme park. And, it seems, that theme park has rules. Remember when Disney opened a theme park in France and would not serve wine? Yeah, that cultural export thing works really well. But Disney’s management wizards relented. Alphabet is spelling out confusion in my opinion.

Putting this in the context of Google’s approach to regulating what one can say and not say about Snorkel wearing smart software people, the company has a knack for sending signals about equality. Googlers are not sitting around the digital camp fire singing Joan Baez’s Kumbaya.

Googlers send signals about caste behavior described by the International Dalit Solidarity Network this way:

Untouchables’ – known in South Asia as Dalits – are often forcibly assigned the most dirty, menial and hazardous jobs, [emphasis added] and many are subjected to forced and bonded labour. Due to exclusion practiced by both state and non-state actors, they have limited access to resources, services and development, keeping most Dalits in severe poverty. They are often de facto excluded from decision making and meaningful participation in public and civil life.

Several observations:

  1. Is the alleged caste behavior crashing into some of the precepts of life in the US?
  2. Is Google’s management reacting like a cow stunned by a slaughter house’s captive bolt pistols?
  3. Should the bias allegations raised by Dr. Timnit Gebru be viewed in the context of management behaviors AND algorithmic functions focused on speed and efficiency for ad-related purposes be revisited? (Maybe academics without financial ties to Google, experts from the Netherlands, and maybe a couple of European Union lawyers? US regulators and Congressional representatives would be able to review the findings after the data are gathered?)
  4. In the alleged Google caste system, where do engineers from certain schools rank? What about females from “good” schools versus females from “less good” schools? What about other criteria designed to separate the herd into tidy buckets? None of this 60 percent threshold methodology. Let’s have nice tidy buckets, shall we? No Drs. Gebru and Mitchell gnawing at Dr. Jeff Dean’s snorkeling outfit.

I wonder what will be roasted in the Googley fire pit in celebration of Father’s Day? Goat pete and makka rotis? Zero sacred cow burgers.

Stephen E Arnold, June 3, 2022

Frisky Israeli Cyber Innovators Locked Down and Confined to Quarters

November 26, 2021

Before the NSO Group demonstrated remarkable PR powers, cyber centric companies in Israel were able to market to a large number of prospects. Conference organizers could count on NSO Group to provide speakers, purchase trade show space, and maybe sponsor a tchotchke for attendees. Governments and even some commercial enterprises knew about NSO Group’s technological capabilities and the firm’s ability to provide a network which eliminated quite a bit of the muss and fuss associated with mobile device surveillance, data analysis, and related activities.

How did that work out?

The PR sparked “real journalists” to use their powers of collecting information, analyzing those items, and making warranted conclusions about NSO Group’s enabling activities. Sure, pesky Canadian researchers were writing about NSO Group, but there wasn’t a “real news” story. Then… bingo. A certain individual associated with a “real news” organization was terminated and the arrows of data and supposition pointed to NSO Group’s capabilities and what one of the firm’s alleged customers was able to do with the system.

The journalistic horses raced out of the gate, and the NSO Group became a “thing.”

Vendors of specialized software are not accustomed to the spotlight. Making sales, collecting fees, and enjoying pats on the backs from colleagues who try hard to keep a low, low profile are more typical activities. But, oh, those spotlights.

The consequences have been ones to which cyber innovators like to avoid. Former superiors send email asking, “What are you doing?” Then government committees, consisting of people who don’t know much about next generation technologies, have to be briefed. And those explanations are painful because the nuances of cyber centric firms are different from explaining how to plug in a Tesla in Tel Aviv. Oh, painful.

Now, if the information in the Calcalist’s article “The Ministry of Defense Has Cut by Two-Thirds the Number of Countries That Cyber Companies Can Sell To” is accurate, the Israeli government has put a shock collar on NSO Group’s ankle and clamped the devices on other firm’s well-formed, powerful legs as well. The message is clear: Stay in bounds or you will be zapped. (I leave it to you to figure out what “zap” connotes.)

The publication’s story says:

The [Israeli] Ministry of Defense has cut by two-thirds the number of countries that cyber companies can sell to The previous list included 102 countries to which cyber exports are allowed, and now it includes only 37 countries. The latest list from the beginning of November does not include countries such as Morocco, Mexico, Saudi Arabia and the United Arab Emirates.

Who’s at fault? The Calcalist offers this statement:

It is implied that Israel used in a very permissive manner the special certificates that it may grant and was in any case aware of where the Israeli society is known. It is important to note that the new list includes companies to which cyber can now be exported and it is possible that in the past lists there were other countries to which systems could be exported without fear.

My knowledge of Hebrew is lousy and Google translate is not helping me much. The main idea is that up and down the chain of command, the “chain” was not managed well. Hence, the PR gaffes, the alleged terminations, and the large number of high intensity lights directed at companies which once thrived in the shadows.

Some observations:

    1. Countries unable to acquire the technology associated with NSO Group are likely to buy from non-Israeli firms. Gee, I wonder if China and Russia have specialized software vendors who will recognize a sales opportunity and not do the PR thing in which NSO Group specialized?
    2. The publicity directed at NSO Group has been a more successful college class than the dump of information from the Hacking Team. A better class may translate to more capable coders who can duplicate and possibly go beyond the Israeli firms’ capabilities. This is a new state of affairs in my opinion.
    3. Cyber technologies are the lubricant for modern warfare. Israel had a lead in this software sector. It is now highly likely that the slick system of government specialists moving into the private sector with “support” from certain entities may be changed. Bummer for some entrepreneurs? Yep.

Net net: The NSO Group’s PR excesses — combined with its marketing know how — has affected a large number of companies. Keeping secrets is known to be a wise practice for some activities. Blending secrecy with market dynamics is less wise in my experience. This NSO Group case is more impactful than the Theranos Silicon Valley matter.

Stephen E Arnold, November 25, 2021

Quantum Computing Has Time to Build Some Hype Momentum

June 30, 2020

After artificial intelligence, quantum computing wants to be a leader in the hyperbole arms race. “Value of Quantum Computing Uncertain for at Least 10 Years” makes a case for the quantum cheerleaders to adopt two Stalin five year plans. These can be implemented back to back.

The article quotes an outfit called Lux Research (which I assume connotes expensive information) as learning:

Quantum bits, or qubits, are inherently unstable, thus reducing the accuracy of any computation that relies on them; this is the first major obstacle to commercialization. For this reason, problems that lack clearly defined answers (like machine learning) but still benefit from improved solutions are the best problems to target with quantum computing.

DarkCyber thinks this means that graduate programs and venture capitalists have plenty of time to make their personal and financial investments pay off.

In the meantime, quantum computing cheerleaders can perfect their routine without too much fear of a rival coming up with a show stopper. And conferences? Absolutely.

Stephen E Arnold, June 30, 2020

Want to Know What Happens Online Every 60 Seconds?

December 4, 2015

I thought I knew. Time wasting, distractive behavior, and non productive behavior.

Wrong again. I read “What Happens Online Every Minute?” The document is an infographic which reveals a number of factoids. (Who knows if these are accurate or a 20 something daydream.)

  • Every minute Vine users play 1,041,666 videos. I like the precision of this number. The happenstance of the sign of the devil is a delight. Remember? 666.
  • In seconds Alphabet Googlers who can probably spell “video” nine out of ten times upload 300 hours of new video. The idea is that in one minute, you have the opportunity to fritter away 300 hours of couch potato time whether in a Google self driving car, in your own car, or standing on a line to buy a slice in Manhattan.
  • In 1/60th of an hour, Twitter users send 347,222 tweets. How many of these are from marketers? No info. But again the precision of the number is outstanding. I like the 222 number which connotes faith. I have faith in Twitter. Also, 222 is a a strobogrammatic number. Nifty, eh?

View the original. There will be a factoid to make your day or at least a few seconds so you can get back to viewing the video goodness.

Stephen E Arnold, December 4, 2015

Search 2020: Peering into the Future of Information Access

May 22, 2015

The shift in search, user behaviors, and marketing are transforming bread-and-butter keyword search. Quite to my surprise, one of my two or three readers wrote to one of the goslings with a request. In a nutshell, the reader wanted my view of a write up which appeared in the TDWI online publication. TDWI, according to the Web site, is “your source for in depth education and research on all things data.” Okay, I can related to a categorical affirmative, education, research, and data.

The article has a title which tickles my poobah bone: “The Future of Search.” The poobah bone is the part of the anatomy which emits signals about the future. I look at a new search system based on Lucene and other open source technology. My poobah bone tingles. Lots of folks have poobah bones, but these constructs of nerves and tissues are most highly developed in entrepreneurs who invent new ways to locate information, venture capitalists who seek the next Google, and managers who are hired to convert information access into billions and billions of dollars in organic revenue.

The write up identifies three predictions about drivers on the information retrieval utility access road:

  1. Big Data
  2. Cloud infrastructure
  3. Analytics.

Nothing unfamiliar in these three items. Each shares a common characteristic: None has a definition which can be explained in a clear concise way. These are the coat hooks in the search marketers’ cloakroom. Arguments and sales pitches are placed on these hooks because each connotes a “new” way to perform certain enterprise computer processes.

But what about these drivers: Mobile access, just-in-time temporary/contract workers, short attention spans of many “workers”, video, images, and real time information requirements? Perhaps these are subsets of the Big Data, cloud, and analytics generalities, but maybe, just maybe, could these realities be depleted uranium warheads when it comes to information access?

These are the present. What is the future? Here’s a passage I highlighted:

Enterprise search in 2020 will work much differently than it does today. Apple’s Siri, IBM’s Watson, and Microsoft’s Cortana have shown the world how enterprise search and text analytics can combine to serve as a personal assistant. Enterprise search will continue to evolve from being your personal assistant to being your personal advisor.

How are these systems actually working in noisy automobiles or in the kitchen?

I know that the vendors I profiled in CyberOSINT: Next Generation Information Access are installing systems which perform this type of content processing. The problem is that search, as I point out in CyberOSINT, is that the function is, at best, a utility. The heavy lifting comes from collection, automated content processing, and various output options. One of the most promising is to deliver specific types of outputs to both humans and to other systems.

The future does tailor information to a person or to a unit. Organizations are composed of teams of teams, a concept now getting a bit more attention. The idea is not a new one. What is important is that next generation information access systems operate in a more nuanced manner than a list of results from a Lucene based search query.

The article veers into a interesting high school teacher type application of Microsoft’s spelling and grammar checker. The article suggests that the future of search will be to alert the system user his or her “tone” is inappropriate. Well, maybe. I turn off these inputs from software.

The future of search involves privacy issues which have to be “worked out.” No, privacy issues have been worked out via comprehensive, automated collection. The issue is how quickly organizations will make use of the features automated collection and real time processing deliver. Want to eliminate the risk of insider trading? Want to identify bad actors in an organization? One can, but this is not a search function. This is an NGIA function.

The write up touches on a few of the dozens of issues implicit in the emergence of next generation information access systems. But NGIA is not search. NGIA systems are a logical consequence of the failures of enterprise search. These failures are not addressed with generalizations. NGIA systems, while not perfect, move beyond the failures, disappointments, and constant legal hassles search vendors have created in the last 40 years.

My question, “What is taking so long?”

Stephen E Arnold, May 22, 2015

Sponsors of Two Content Marketing Plays

July 27, 2014

I saw some general information about allegedly objective analyses of companies in the search and content processing sector.

The first report comes from the Gartner Group. The company has released its “magic quadrant” which maps companies by various allegedly objective methods into leaders, challengers, niche players, and visionaries.

The most recent analysis includes these companies:

Attivio
BA Insight
Coveo
Dassault Exalead
Exorbyte
Expert System
Google
HP Autonomy IDOL
IBM
HIS
Lucid Works
MarkLogic
Mindbreeze
Perceptive ISYS Search
PolySpot
Recommind
Sinequa

There are several companies in the Gartner pool whose inclusion surprises me. For example, Exorbyte is primarily an eCommerce company with a very low profile in the US compared to Endeca or New Zealand based SLI Systems. Expert System is a company based in Italy. This company provides semantic software which I associated with mobile applications. IHS (International Handling Service) provides technical information and a structured search system. MarkLogic is a company with XML data management software that has landed customers in publishing and the US government. With an equally low profile is Mindbreeze, a home brew search system funded by Microsoft-centric Fabasoft. Dassault Exalead, PolySpot, and Sinequa are French companies offering what I call “information infrastructure.” Search is available, but the approach is digital information plumbing.

The IDC report, also allegedly objective, is sponsored by nine companies. These outfits are:

Attivio
Coveo
Earley & Associates
HP Autonomy IDOL
IBM
IHS
Lexalytics
Sinequa
Smartlogic

This collection of companies is also eclectic. For example, Earley & Associates does indexing training, consulting, and does not have a deep suite of enterprise software. IHS (International Handling Services) appears in the IDC report as a knowledge centric company. I think I understand the concept. Technical information in Extensible Markup Language and a mainframe-style search system allow an engineer to locate a specification or some other technical item like the SU 25. Lexalytics is a sentiment analysis company. I do not consider figuring out if a customer email is happy or sad the same as Coveo’s customer support search system. Smartlogic is interesting because the company provides tools that permit unstructured content to be indexed. Some French vendors call this process “fertilization.” I suppose that for purists, indexing might be just as good a word.

What unifies these two lists are the companies that appear in both allegedly objective studies:

Attivio
Coveo
HP
IBM
IHS (International Handling Service)
Sinequa

My hunch is that the five companies appearing in both lists are in full bore, pedal to the metal marketing mode.

Attivio and Coveo have ingested tens of millions in venture funding. At some point, investors want a return on their money. The positioning of these two companies’ technologies as search and the somewhat unclear knowledge quotient capability suggest that implicit endorsement by mid tier consulting firms will produce sales.

The appearance of HP and IBM on each list is not much of a surprise. The fact that Oracle Endeca is not in either report suggests that Oracle has other marketing fish to fry. Also, Elasticsearch, arguably the game changer in search and content processing, is not in either pool may be evidence that Elasticsearch is too busy to pursue “expert” analysts laboring in the search vineyard. On the other hand, Elasticsearch may have its hands full dealing with demands of developers, prospects, and customers.

IHS has not had a high profile in either search or content processing. The fact that International Handling Services appears signals that the company wants to market its mainframe style and XML capable system to a broader market. Sinequa appears comfortable with putting forth its infrastructure system as both search and a knowledge engine.

I have not seen the full reports from either mid tier consulting firm. My initial impression of the companies referenced in the promotional material for these recent studies is that lead generation is the hoped for outcome of inclusion.

Other observations I noted include:

  1. The need to generate leads and make sales is putting multi-company reports back on the marketing agenda. The revenue from these reports will be welcomed at IDC and Gartner I expect. The vendors who are on the hook for millions in venture funding are hopeful that inclusion in these reports will shake the money trees from Boston to Paris.
  2. The language used to differentiate and describe the companies referenced in these two studies is unlikely to clarify the differences between similar companies or make clear the similarities. From my point of view, there are few similarities among the companies referenced in the marketing collateral for the IDC and Gartner study.
  3. The message of the two reports appears to be “these companies are important.” My thought is that because IDC and Gartner assume their brand conveys a halo of excellence, the companies in these reports are, therefore, excellent in some way.

Net net: Enterprise search and content processing has a hurdle to get over: Search means Google. The companies in these reports have to explain why Google is not the de facto choice for enterprise search and then explain how a particular vendor’s search system is better, faster, cheaper, etc.

For me, a marketer or search “expert” can easily stretch search to various buzzwords. For some executives, customer support is not search. Customer support uses search. Sentiment analysis is not search. Sentiment analysis is a signal for marketers or call center managers. Semantics for mobile phones, indexing for SharePoint content, and search for a technical data sheet are quite different from eCommerce, business intelligence, and business process engineering.

A fruit cake is a specific type of cake. Each search and content processing system is distinct and, in my opinion, not easily fused into the calorie rich confection. A collection of systems is a lumber room stuffed with different objects that don’t have another place in a household.

The reports seem to make clear that no one in the mid tier consulting firms or the search companies knows exactly how to position, explain, and verify that content processing is the next big thing. Is it?

Maybe a Google Search Appliance is the safe choice? IBM Watson does recipes, and HP Autonomy connotes high profile corporate disputes.

Elasticsearch, anyone?

Stephen E Arnold, July 27, 2014

A Translation Guide for Scientific Papers

December 17, 2013

I think this is supposed to be funny. I am not sure that Elsevier, ACM, and other real academic publishers will see the humor, however. You may be able to find the original translation table at this Twitter link. No guarantees, so you know that I am indifferent to Google’s rules and regulations for important content. Let me highlight three of the “translations” from @sehnaoui:

  • “It has long been known” means “I did not look up the original reference”
  • “Correct within an order of magnitude”  translates as “Wrong”
  • “It is clear that much additional work will be required before a complete understanding of this phenomenon occurs” means “I don’t understand.”
  • “It is hoped that this study will stimulate further investigations in this field” connotes “I quit.”

These phrases appear in information retrieval papers and in text mining, predictive analytics, and natural language processing studies.

Stephen E Arnold, December 17, 2013

Temis, Spammy PR, and Quite Silly Assertions

January 11, 2012

I am working on a project related to semantics. The idea is, according to that almost always reliable Wikipedia resource is:

the study of meaning. It focuses on the relation between signifiers, such as words, phrases, signs and symbols, and what they stand for, their denotata.

Years ago I studied at Duquesne University, a fascinating blend of Jesuit obsession, basketball, and phenomenological existentialism. If you are not familiar with this darned exciting branch of philosophy, you can dig into Psychology from an Empirical Standpoint by Franz Brentano or grind through Carl Stumpf’s The Psychological Origins of Space Perception, or just grab the Classic Comic Book from your local baseball card dealer. (My hunch is that many public relations professionals feel more comfortable with the Classic approach, not the primary texts of philosophers who focus on how ephemera and baloney affect one’s perception of reality one’s actions create.)

But my personal touchstone is Edmund Husserl’s body of work. To get the scoop on Lebenswelt (a universe of what is self-evident), you will want to skip the early work and go directly to The Crisis of European Sciences and Transcendental Phenomenology. For sure, PR spam is what I would call self evident because it exists, was created by a human (possibly unaware that actions define reality), to achieve an outcome which is hooked to the individual’s identify.

Why mention the crisis of European  thought? Well, I received “American Society for Microbiology Teams Up With TEMIS to Strengthen Access to Content” in this morning’s email (January 10, 2012). I noted that the document was attributed to an individual identified as Martine Fallon. I asked to be removed from the spam email list that dumps silly news releases about Temis into my system. I considered that Martine Fallon may be a ruse like Betty Crocker. Real or fictional, I am certain she or one of her colleagues, probably schooled in an esoteric discipline such as modern dance, agronomy, and public relations are familiar with the philosophical musings of Jean Genet.

You can get a copy of Born to Lose at this link.

I recall M. Genet’s observation:

I recognize in thieves, traitors and murderers, in the ruthless and the cunning, a deep beauty – a sunken beauty.

Temis, a European company in the dicey semantic game, surely appreciates the delicious irony of explaining a license deal as a “team”. The notion of strengthening access to content is another semantic bon mot. The problem is that the argument does not satisfy my existential quest for factual information; for example, look at the words and bound phrases in bold:

Temis, the leading provider of Semantic Content Enrichment solutions for the Enterprise, today announced it has signed a license and services agreement with the American Society for Microbiology (ASM), the oldest and largest life science membership organization in the world.

Do tell. Leading? Semantic content enrichment. What’s that?

The “leading” word is interesting but it lacks the substance of verifiable fact. Well, there’s more to the news story and the Temis pitch. Temis speaks for its client, asserting:

To serve its 40,000 members better, ASM is completely revamping its online content offering, and aggregating at a new site all of its authoritative content, including ASM’s journal titles dating back to 1916, a rapidly expanding image library, 240 book titles, its news magazine Microbe, and eventually abstracts of meetings and educational publications.

I navigated to the ASM Web site, did some poking around, and learned that ASM is rolling in dough. You can verify the outfit’s financial status at this page. But the numbers and charts allowed me to see that ASM has increasing assets, which is good. However, this chart suggests that since 2008, revenue has been heading south.

image

Source: http://www.faqs.org/tax-exempt/DC/American-Society-For-Microbiology.html

In my limited experience in rural Kentucky, not-for-profits embrace technology for one of three reasons. Let me list them and see if we can figure out what causes the estimable American Society for Microbiology.

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