Online Journalism Reveals the Omnispert Mentality in Full Bloom
January 23, 2024
This essay is the work of a dumb dinobaby. No smart software required.
PREAMBLE
I am a dinobaby. I worked in big, rapacious outfits. I worked for a family-owned newspaper. I worked for a giant, faceless professional publisher. I worked alone, serving as the world’s ugliest Kelly Girl (a once-proud rental agency). Over the last couple of decades, I have watched as “real” journalists have broken from a run-down stable and headed toward the green, shimmering pasture on the horizon. Some died and became Wal-Mart greeters. Others found their way to the promised land.
The journey and its apparently successful conclusion caused a change in the mindset of some “real” journalists. A few morphed into YouTube-type video stars; a smaller number became talking heads on a cable or broadcast channel with fewer viewers than the iconoclastic NoAgenda.com podcast. Others underwent an intellectual transformation. From reporting the news, these fortunate (possibly chosen) individuals became what I call “omnisperts”; that is, my word for an “everything” expert. The shift is fascinating, mostly because I observed “real” news people in the companies for which I worked either as an officer or a consultant.
An expert on everything is usually self-appointed. These “everything experts” or “omnisperts” can find fault and simultaneous emit entitlement. The idea is that “you are stupid” and “I am smart.” The approach is often a key component of “real” journalism today. Social media has, like radiation, altered the DNA from reporter to source of divine wisdom. Thanks, MSFT Copilot Bing thing. Definitely good enough and illustrative of the system’s biases: White, mail, big city, and money.
The shift in the DNA of a “real” journalist from a person assigned a story or, in the case of a feature writer, a finder of a story in alignment with the “desk” issuing the work order, has been caused by the flow of digital bits via Facebook, Twitter, and other social media conduits. Bombard a rat with enough gamma radiation, and what happens? Well, the rats — before their life force takes a vacation can exhibit some interesting behavior and a lucky few output some baby rats. These can be objects of radiation specialists’ learning trajectory. Surprised because I relate radiation to bits from social media? Some are; some are not.
I thought about my experiences with “real” journalists when I read “The 20-Year Boondoggle.” The boondoggle is the Department of Homeland Security. The subtitle to the write up asks, “So What the Hell Happened?”
MY APPROACH
Now before I address, the language in the headline, the “real” news in the write up, or the confusion of doing what I thought journalists in the organizations at which I worked years ago did, I want to comment on the presentation of the textual information.
The publication in which this “real” news story appears is the Verge. Some of the stories are difficult for me to read. An essay about Google was a baffler. I just gave up because blocks of text and graphics jumped around. This Boondoggle piece is a mix of flickering background images and text. (I made a note of the illustrator. I don’t want to be involved with this fellow, his firm, or his “school” of graphics for business information in the future.) The essay (because I am not sure it is “real” news) features a puppet. I don’t think a puppet is a positive, but it does a good job of communicating the idea that “someone” is pulling strings. There is a big graphic showing people sliding down something and into flickering water. Remember, please, that this is a “real” news article, but it is trying, really trying, to be a TikTok-meme machine I think. Then there is an illustration of people with their heads either in the “clouds” (which are vibrating like a DaVinci Fusion effect or a giant swarm of blue bees). The image is not a positive one in my opinion. The illustration which troubled me is one that shows people falling out of the fourth floor of an office building to their death. A sketch of a motion picture or made-for-streaming spy story surveillance room suggests that the world outside of the office and on the computer monitors is a chaotic mess. That’s okay. Has the world ever been something other than a chaotic mess?
These illustrations make clear that the 8,000 or so words in the “real” news report that the author and the publisher find a US government agency to be a problem. I know this because the subhead “The Problem Is” is used six times. Helpful. The repetition makes clear that the article itself is revealing information that is definitely super problematic. If a grade school teacher or an entitled Google-type executive says “The problem is” to someone six times, it’s safe to say that you are [a] going to have a chance to find your future elsewhere, [b] what you and your agency have done is really, really bad and you must be punished, and [c] we know better than anyone else how to do your work. “Listen up, losers” the article shouts, jiggles, and repeats more than Chubby Checker’s “The Twist” or a knock off disco tune in a bar in Ibiza.
But what about the information in the write up. Okay, okay. Let me offer three comments, and invite you to read the 8,000 word original, award winning, knock out “real” news story yourself. (I had to down this puppy in three separate sessions because it exemplifies the journalist as omnispert in a top shelf way. (I think I should spell omnispert as omnispurt to better capture the flood of “real” news.)
THREE IRRITATIONS
First, the write up points out that the US Department of Homeland Security sucks. I find it fascinating that those who have not had an opportunity to work in either law enforcement, intelligence, or allied fields find that a Federal agency is a failure. I don’t have an easy way to address this “certain blind spot.” Maybe a couple of ride alongs or working on a project focused on locating a bad actor would provide some context. I know that words won’t do it. The gulf between “real” journalists and the individuals who work to enforce applicable laws is a wide one. I will not suggest that “real” journalists fall to their deaths from an office window. I am a dinobaby, not a “real” journalist criticizing the work of people who — believe it or not — are in harm’s way every single day. Think about that when ordering a cinnamon latte tomorrow morning.
Second, no one pays any attention to DHS. Once again, it would be helpful for a “real” journalist to step back and ask, “Are large government agencies in the UK, France, Germany, or Japan functioning in a materially different way? With perspective, one can appreciate the problem of a work force cut free from the social norms, shared beliefs, and willingness to compromise once part of industrial societies’ culture. The “government agencies” reflect the people who work there. And guess what, “real” journalist, those people are like you. They exhibit the same strengths and weaknesses. I would submit that you are providing more information about your weaknesses, preferences, and biases than actionable information about a government agency.
Third, the cherry picking of examples is part of the “real” news game. I get it. What I don’t get is the sense of entitlement oozing from the word choice, the dorky headlines, and the boy, these people are stupid approach. Here’s one example and not the most egregious one by the way:
The lack of control starts at headquarters and trickles down.This means DHS has trouble keeping track of what’s in its warehouses, from electronic equipment to antiviral medication, as well as what warehouses it even controls. It means that there have been times when a single deportation officer has been assigned to supervise nearly 10,000 non-detained migrants. It means the department lacks consistent, enforceable requirements for subcontractors around price, schedule, and capability, such that in 2015, the Government Accountability Office (GAO) found only two of 22 major programs at DHS were on track — racking up an estimated $9.7 billion more than expected.
A POSSIBLE FIX
Wow, DHS is supposed to “fix” this problem. Maybe the “real” journalists would like to apply for a job, rise through the ranks, and make everything better. Fat chance.
Net net: How quickly can AI replace certain human “real” journalists? Answer: Not soon enough.
Stephen E Arnold, January 23, 2024
IBM Charges Toward Consulting Services: Does Don Quixote Work at Big Blue?
January 23, 2024
This essay is the work of a dumb dinobaby. No smart software required.
It is official. IBM consultants will use smart software to provide answers to clients. Why not ask the smart software directly and skip the consultants? Why aren’t IBM consultants sufficiently informed and intelligent to answer a client’s questions directly? Is IBM admitting that its consultants lack the knowledge depth and insight necessary to solve a client’s problems? Hmmm.
“IBM Introduces IBM Consulting Advantage, an AI Services Platform and Library of Assistants to Empower Consultants” asserts in corporate marketing lingo:
IBM Consulting Assistants are accessed through an intuitive conversational interface powered by IBM Watsonx, IBM’s AI and data platform. Consultants can toggle across multiple IBM and third-party generative AI models to compare outputs and select the right model for their task, and use the platform to rapidly build and share prompts and pre-trained assistants across teams or more widely across the consulting organization. The interface also enables easy uploading of project-specific documents for rapid insights that can then be shared into common business tools.
One of the key benefits of using smart software is to allow the IBM consultants to do more in the same billable hour. Thus, one can assume that billable hours will go up. “Efficiency” may not equate to revenue generation if the AI-assisted humanoids deliver incorrect, off-point, or unverifiable outputs.
A winner with a certain large company’s sure fire technology. Thanks, MSFT second string Copilot Bing thing. Good enough.
What can the AI-turbo charged system do? A lot. Here’s what IBM marketing asserts:
The IBM Consulting Advantage platform will be applied across the breadth of IBM Consulting’s services, spanning strategy, experience, technology and operations. It is designed to work in combination with IBM Garage, a proven, collaborative engagement model to help clients fast-track innovation, realize value three times faster than traditional approaches, and transparently track business outcomes. Today’s announcement builds on IBM Consulting’s concrete steps in 2023 to further expand its expertise, tools and methods to help accelerate clients’ business transformations with enterprise-grade AI…. IBM Consulting helps accelerate business transformation for our clients through hybrid cloud and AI technologies, leveraging our open ecosystem of partners. With deep industry expertise spanning strategy, experience design, technology, and operations, we have become the trusted partner to many of the world’s most innovative and valuable companies, helping modernize and secure their most complex systems. Our 160,000 consultants embrace an open way of working and apply our proven, collaborative engagement model, IBM Garage, to scale ideas into outcomes.
I have some questions; for example:
- Will IBM hire less qualified and less expensive humans, assuming that smart software lifts them up to super star status?
- Will the system be hallucination proof; that is, what procedure ensures that decisions based on smart software assisted outputs are based on factual, reliable information?
- When a consulting engagement goes off the rails, how will IBM allocate responsibility; for example, 100 percent to the human, 50 percent to the human and 50 percent to those who were involved in building the model, or 100 percent to the client since the client made a decision and consultants just provide options and recommendations?
I look forward to IBM Watsonx’s revolutionizing consulting related to migrating COBOL from a mainframe to a hybrid environment relying on a distributed network with diverse software. Will WatsonX participate in Jeopardy again?
Stephen E Arnold, January 23, 2024
Canada and Mobile Surveillance: Is It a Reality?
January 12, 2024
This essay is the work of a dumb dinobaby. No smart software required.
It appears a baker’s dozen of Canadian agencies are ignoring a longstanding federal directive on privacy protections. Yes, Canada. According to CBC/ Radio Canada, “Tools Capable of Extracting Personal Data from Phones Being Used by 13 Federal Departments, Documents Show.” The trend surprised even York University associate professor Evan Light, who filed the original access-to-information request. Reporter Brigitte Bureau shares:
“Tools capable of extracting personal data from phones or computers are being used by 13 federal departments and agencies, according to contracts obtained under access to information legislation and shared with Radio-Canada. Radio-Canada has also learned those departments’ use of the tools did not undergo a privacy impact assessment as required by federal government directive. The tools in question can be used to recover and analyze data found on computers, tablets and mobile phones, including information that has been encrypted and password-protected. This can include text messages, contacts, photos and travel history. Certain software can also be used to access a user’s cloud-based data, reveal their internet search history, deleted content and social media activity. Radio-Canada has learned other departments have obtained some of these tools in the past, but say they no longer use them. … ‘I thought I would just find the usual suspects using these devices, like police, whether it’s the RCMP or [Canada Border Services Agency]. But it’s being used by a bunch of bizarre departments,’ [Light] said.
To make matters worse, none of the agencies had conducted the required Privacy Impact Assessments. A federal directive issued in 2002 and updated in 2010 required such PIAs to be filed with the Treasury Board of Canada Secretariat and the Office of the Privacy Commissioner before any new activities involving collecting or handling personal data. Light is concerned that agencies flat out ignoring the directive means digital surveillance of citizens has become normalized. Join the club, Canada.
Cynthia Murrell, January 12, 2024
A Google Gem: Special Edition on 1-11-23
January 11, 2024
This essay is the work of a dumb dinobaby. No smart software required.
I learned that the Google has swished its tail and killed off some baby Googlers. Giant creatures can do that. Thomson Reuters (the trust outfit) reported the “real” news in “Google Lays Off Hundreds in Assistant, Hardware, Engineering Teams.” But why? The Google is pulsing with revenue, opportunity, technology, and management expertise. Thomson Reuters has the answer:
"Throughout second-half of 2023, a number of our teams made changes to become more efficient and work better, and to align their resources to their biggest product priorities. Some teams are continuing to make these kinds of organizational changes, which include some role eliminations globally," a spokesperson for Google told Reuters in a statement.
On YCombinator’s HackerNews, I spotted some interesting comments. Foofie asserted: “In the last quarter Alphabet reported "total revenues of $76.69bn, an increase of 11 percent year-on-year (YoY). Google Cloud alone grew 22%.”
A giant corporate creature plods forward. Is the big beastie mindful of those who are crushed in the process? Sure, sure. Thanks, MSFT Copilot Bing thing. Good enough.
BigPeopleAreOld observes: “As long as you can get another job and can get severance pay, a layoff feel like an achievement than a loss. That happened me in my last company, one that I was very attached to for what I now think was irrational reasons. I wanted to leave anyway, but having it just happen and getting a nice severance pay was a perk. I am treating my new job as the complete opposite and the feeling is cathartic, which allows me to focus better on my work instead of worrying about the maintaining the illusion of identity in the company I work for.”
Yahoo, that beacon of stability, tackled the human hedge trimming in “Google Lays Off Hundreds in Hardware, Voice Assistant Teams.” The Yahooligans report:
The reductions come as Google’s core search business feels the heat from rival artificial-intelligence offerings from Microsoft Corp. and ChatGPT-creator OpenAI. On calls with investors, Google executives pledged to scrutinize their operations to identify places where they can make cuts, and free up resources to invest in their biggest priorities.
I like the word “pledge.” I wonder what it means in the land of Googzilla.
And how did the Google RIF these non-essential wizards and wizardettes? According to 9to5Google.com:
This reorganization will see Google lay off a few hundred roles across Devices & Services, though the majority is happening within the first-party augmented reality hardware team. This downsizing suggests Google is no longer working on its own AR hardware and is fully committed to the OEM-partnership model. Employees will have the ability to apply to open roles within the company, and Google is offering its usual degree of support.
Several observations:
- Dumping employees reduces costs, improves efficiency, and delivers other MBA-identified goodies. Efficiency is logical.
- The competitive environment is more difficult than some perceive. Microsoft, OpenAI, and the many other smart software outfits are offering alternatives to Google search even when these firms are not trying to create problems for Google. Search sucks and millions are looking for an alternative. I sense fear among the Googlers.
- The regulatory net is becoming more and more difficult to avoid. The EU and other governmental entities see Google as a source of money. The formula seems to be to litigate, find guilty, and find. What’s not to like for cash strapped government entities?
- For more than a year, the Google has been struggling with its slip on sneakers. As a result, the Google conveys that it is not able to make a dash to the ad convenience store as it did when it was younger, friskier. Google looks old, and predators know that the old can become a snack.
See Google cares.
Stephen E Arnold, January 11, 2024
Exploit Lets Hackers Into Google Accounts, PCs Even After Changing Passwords
January 3, 2024
This essay is the work of a dumb dinobaby. No smart software required.
Google must be so pleased. The Register reports, “Google Password Resets Not Enough to Stop these Info-Stealing Malware Strains.” In October a hacker going by PRISMA bragged they had found a zero-day exploit that allowed them to log into Google users’ accounts even after the user had logged off. They could then use the exploit generate a new session token and go after data in the victim’s email and cloud storage. It was not an empty boast, and it gets worse. Malware developers have since used the hack to create “info stealers” that infiltrate victims’ local data. (Mostly Windows users.) Yes, local data. Yikes. Reporter Connor Jones writes:
“The total number of known malware families that abuse the vulnerability stands at six, including Lumma and Rhadamanthys, while Eternity Stealer is also working on an update to release in the near future. They’re called info stealers because once they’re running on some poor sap’s computer, they go to work finding sensitive information – such as remote desktop credentials, website cookies, and cryptowallets – on the local host and leaking them to remote servers run by miscreants. Eggheads at CloudSEK say they found the root of the Google account exploit to be in the undocumented Google OAuth endpoint ‘MultiLogin.’ The exploit revolves around stealing victims’ session tokens. That is to say, malware first infects a person’s PC – typically via a malicious spam or a dodgy download, etc – and then scours the machine for, among other things, web browser session cookies that can be used to log into accounts. Those session tokens are then exfiltrated to the malware’s operators to enter and hijack those accounts. It turns out that these tokens can still be used to login even if the user realizes they’ve been compromised and change their Google password.”
So what are Google users to do when changing passwords is not enough to circumvent this hack? The company insists stolen sessions can be thwarted by signing out of all Google sessions on all devices. It is, admittedly, kind of a pain but worth the effort to protect the data on one’s local drives. Perhaps the company will soon plug this leak so we can go back to checking our Gmail throughout the day without logging in every time. Google promises to keep us updated. I love promises.
Cynthia Murrell, January 3, 2024
Kagi For-Fee Search: Comments from a Thread about Search
January 2, 2024
This essay is the work of a dumb dinobaby. No smart software required.
Comparisons of search engine performance are quite difficult to design, run, and analyze. In the good old days when commercial databases reigned supreme, special librarians could select queries, refine them, and then run those queries via Dialog, LexisNexis, DataStar, or another commercial search engine. Examination of the results were tabulated and hard copy print outs on thermal paper were examined. The process required knowledge of the search syntax, expertise in query shaping, and the knowledge in the minds of the special librarians performing the analysis. Others were involved, but the work focused on determining overlap among databases, analysis of relevance (human and mathematical), and expertise gained from work in the commercial database sector, academic training, and work in a special library.
Who does that now? Answer: No one. With this prefatory statement, let’s turn our attention to “How Bad Are Search Results? Let’s Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT.” Please, read the write up. The guts of the analysis, in my opinion, appear in this table:
The point is that search sucks. Let’s move on. The most interesting outcome from this write up from my vantage point is the comments in the Hacker News post. What I want to do is highlight observations about Kagi.com, a pay-to-use Web search service. The items I have selected make clear why starting and building sustainable revenue from Web search is difficult. Furthermore, the comments I have selected make clear that without an editorial policy, specific information about the corpus, its updating, and content acquisition method — evaluation is difficult.
Long gone are the days of precision and recall, and I am not sure most of today’s users know or care. I still do, but I am a dinobaby and one of those people who created an early search-related service called The Point (Top 5% of the Internet), the Auto Channel, and a number of other long-forgotten Web sites that delivered some type of findability. Why am I roadkill on the information highway? No one knows or cares about the complexity of finding information in print or online. Sure, some graduate students do, but are you aware that the modern academic just makes up or steals other information; for instance, the former president of Stanford University.l
Okay, here are some comments about Kagi.com from Hacker News. (Please, don’t write me and complain that I am unfair. I am just doing what dinobabies with graduate degrees do — Provide footnotes)
hannasanario: I’m not able to reproduce the author’s bad results in Kagi, at all. What I’m seeing when searching the same terms is fantastic in comparison. I don’t know what went wrong there. Dinobaby comment: Search results, in the absence of editorial policies and other basic information about valid syntax means subjectivity is the guiding light. Remember that soap operas were once sponsored influencer content.
Semaphor: This whole thread made me finally create a file for documenting bad searches on Kagi. The issue for me is usually that they drop very important search terms from the query and give me unrelated results. Dinobaby comment: Yep, editorial functions in results, and these are often surprises. But when people know zero about a topic, who cares? Not most users.
Szundi: Kagi is awesome for me too. I just realize using Google somewhere else because of the sh&t results. Dinobaby comment: Ah, the Google good enough approach is evident in this comment. But it is subjective, merely an opinion. Just ask a stockholder. Google delivers, kiddo.
Mrweasel: Currently Kagi is just as dependent on Google as DuckDuckGo is on Bing. Dinobaby comment: Perhaps Kagi is not communicating where content originates, how results are generated, and why information strikes Mrweasel as “dependent on Google. Neeva was an outfit that wanted to go beyond Google and ended up, after marketing hoo hah selling itself to some entity.
Fenaro: Kagi should hire the Marginalia author. Dinobaby comment: Staffing suggestions are interesting but disconnected from reality in my opinion.
ed109685: Kagi works because there is no incentive for SEO manipulators to target it since their market share is so small. Dinobaby comment: Ouch, small.
shado: I became a huge fan of Kagi after seeing it on hacker news too. It’s amazing how good a search engine can be when it’s not full of ads. Dinobaby comment: A happy customer but no hard data or examples. Subjectivity in full blossom.
yashasolutions: Kagi is great… So I switch recently to Kagi, and so far it’s been smooth sailing and a real time saver. Dinobaby comment: Score another happy, paying customer for Kagi.
innocentoldguy: I like Kagi and rarely use anything else. Kagi’s results are decent and I can blacklist sites like Amazon.com so they never show up in my search results. Dionobaby comment: Another dinobaby who is an expert about search.
What does this selection of Kagi-related comments reveal about Web search? Here’s snapshot of my notes:
- Kagi is not marketing its features and benefits particularly well, but what search engine is? With Google sucking in more than 90 percent of the query action, big bucks are required to get the message out. This means that subscriptions may be tough to sell because marketing is expensive and people sign up, then cancel.
- There is quite a bit of misunderstanding among “expert” searchers like the denizens of Hacker News. The nuances of a Web search, money supported content, metasearch, result matching, etc. make search a great big cloud of unknowing for most users.
- The absence of reproducible results illustrates what happens when consumerization of search and retrieval becomes the benchmark. The pursuit of good enough results in loss of finding functionality and expertise.
Net net: Search sucks. Oh, wait, I used that phrase in an article for Barbara Quint 35 years ago.
PS. Mwmbl is at https://mwmbl.or in case you are not familiar with the open source, non profit search engine. You have to register, well, because…
Stephen E Arnold, January 2, 2024
Google, There Goes Two Percent of 2022 Revenues. How Will the Company Survive?
January 1, 2024
This essay is the work of a dumb dinobaby. No smart software required.
True or false: Google owes $5 billion US. I am not sure, but the headline in Metro makes the number a semi-factoid. So let’s see what could force Googzilla to transfer the equivalent of less than two percent of Google’s alleged 2022 revenues. Wow. That will be painful for the online advertising giant. Well, fire some staff; raise ad rates; and boost the cost of YouTube subscriptions. Will the GOOG survive? I think so.
An executive ponders a court order to pay the equivalent of two percent of 2022 revenues for unproven alleged improper behavior. But the court order says, “Have a nice day.” I assume the court is sincere. Thanks, MSFT Copilot Bing thing. Good enough.
“Google Settles $5,000,000,000 Claim over Searches for Intimate and Embarrassing Things” reports:
Google has agreed to settle a US lawsuit claiming it secretly tracked millions of people who thought they were browsing privately through its Incognito Mode between 2016 and 2020. The claim was seeking at least $5 billion in damages, including at least $5,000 for each user affected. Ironically, the terms of the settlement have not been disclosed, but a formal agreement will be submitted to the court by February 24.
My thought is that Google’s legal eagles will not be partying on New Year’s Eve. These fine professionals will be huddling over their laptops, scrolling for fee legal databases, and using Zoom (the Google video service is a bit of a hassle) to discuss ways to [a] delay, [b] deflect, [c] deny, and [d] dodge the obviously [a] fallacious, [b] foul, [c] false, [d] flimsy, and [e] flawed claims that Google did anything improper.
Hey, incognito means what Google says it means, just like the “unlimited” data claims from wireless providers. Let’s not get hung up on details. Just ask the US regulatory authorities.
For you and me, we need to read Google’s terms of service, check our computing device’s security settings, and continue to live in a Cloud of Unknowing. The allegations that Google mapping vehicles did Wi-Fi sniffing? Hey, these assertions are [a] fallacious, [b] foul, [c] false, [d] flimsy, and [e] flawed . Tracking users. Op cit, gentle reader.
Never has a commercial enterprise been subjected to so many [a] unwarranted, [b] unprovable, [c] unacceptable, and [d] unnecessary assertions. Here’s my take: [a] The Google is innocent; [b] the GOOG is misunderstood, [c] Googzilla is a victim. I ticked a, b, and c.
Stephen E Arnold, January 1, 2024
Quantum Supremacy in Management: A Google Incident
December 25, 2023
This essay is the work of a dumb dinobaby. No smart software required.
I spotted an interesting story about an online advertising company which has figured out how to get great PR in respected journals. But this maneuver is a 100 yard touchdown run for visibility. “Hundreds Gather at Google’s San Francisco Office to Protest $1.2 Billion Contract with Israel” reports:
More than 400 protesters gathered at Google’s San Francisco office on Thursday to demand the tech company cut ties with Israel’s government.
Some managers and techno wizards envy companies which have the knack for attracting crowds and getting free publicity. Thanks, MSFT Copilot. Close enough for horseshoes
The demonstration, according to the article, was a response to Google and its new BFF’s project for Israel. The SFGate article contains some interesting photographs. One is a pretend dead person wrapped in a shroud with the word “Genocide” in bright, cheerful Google log colors. I wanted to reproduce it, but I am not interested in having copyright trolls descend on me like a convocation of legal eagles. The “Project Nimbus” — nimbus is a type of cloud which I learned about in the fifth- or sixth-grade — “provides the country with local data centers and cloud computing services.”
The article contains words which cause OpenAI’s art generators to become uncooperative. That banned word is “genocide.” The news story adds some color to the fact of the protest on December 14, 2023:
Multiple speakers mentioned an article from The Intercept, which reported that Nimbus delivered Israel the technology for “facial detection, automated image categorization, object tracking, and even sentiment analysis.” Others referred to an NPR investigation reporting that Israel says it is using artificial intelligence to identify targets in Gaza, though the news outlet did not link the practice to Google’s technology.
Ah, ha. Cloud services plus useful technologies. (I wonder if the facial recognition system allegedly becoming available to the UK government is included in the deal?) The story added a bit of spice too:
For most of Thursday’s protest, two dozen people lay wrapped in sheets — reading “Genocide” in Google’s signature rainbow lettering — in a “die-in” performance. At the end, they stood to raise up white kites, as a speaker read Refaat Alareer’s “If I must die,” written just over a month before the Palestinian poet was killed by an Israeli airstrike.
The article included a statement from a spokesperson, possible from Google. This individual said:
“We have been very clear that the Nimbus contract is for workloads running on our commercial platform by Israeli government ministries such as finance, healthcare, transportation, and education,” she said. “Our work is not directed at highly sensitive or classified military workloads relevant to weapons or intelligence services.”
Does this sound a bit like an annoyed fifth- or sixth-grade teacher interrupted by a student who said out loud: “Clouds are hot air.” While not technically accurate, the student was sent to the principal’s office. What will happen in this situation?
Some organizations know how to capture users’ attention. Will the company be able to monetize it via a YouTube Short or a more lengthy video. Google is quite skilled at making videos which purport to show reality as Google wants it to be. The “real” reality maybe be different. Revenue is important, particularly as regulatory scrutiny remains popular in the EU and the US.
Stephen E Arnold, December 25, 2023
A Grade School Food Fight Could Escalate: Apples Could Become Apple Sauce
December 25, 2023
This essay is the work of a dumb dinobaby. No smart software required.
A squabble is blowing up into a court fight. “Beeper vs Apple Battle Intensifies: Lawmakers Demand DOJ Investigation” reports:
US senators have urged the DOJ to probe Apple’s alleged anti-competitive conduct against Beeper.
Apple killed a messaging service in the name of protecting apple pie, mom, love, truth, justice, and the American way. Ooops, sorry. That’s something from the Superman comix.
“You squashed my apple. You ruined my lunch. You ruined my life. My mommy will call your mommy, and you will be in trouble,” says the older, more mature child. The principal appears and points out that screeching is not comely. Thanks, MSFT Copilot. Close enough for horseshoes.
The article said:
The letter to the DOJ is signed by Minnesota Senator Amy Klobuchar, Utah Senator Mike Lee, Congressman Jerry Nadler, and Congressman Ken Buck. They have urged the law enforcement body to investigate “whether Apple’s potentially anti-competitive conduct against Beeper violates US antitrust laws.” Apple has been constantly trying to block Beeper Mini and Beeper Cloud from accessing iMessage. The two Beeper messaging apps allow Android users to interact with iPhone users through iMessage — an interoperability Apple has been opposed to for a long time now.
As if law enforcement did not have enough to think about. Now an alleged monopolist is engaged in a grade school cafeteria spat with a younger, much smaller entity. By golly, that big outfit is threatened by the jejune, immature, and smaller service.
How will this play out?
- A payday for Beeper when Apple makes the owners of Beeper an offer that would be tough to refuse. Big piles of money can alter one’s desire to fritter away one’s time in court
- The dust up spirals upwards. What if the attitude toward Apple’s approach to its competitors becomes a crusade to encourage innovation in a tough environment for small companies? Containment may be difficult.
- The jury decision against Google may kindle more enthusiasm for another probe of Apple and its posture in some tricky political situations; for example, the iPhone in China, the non-repairability issues, and Apple’s mesh of inter-connected services which may be seen as digital barriers to user choice.
In 2024, Apple may find that some government agencies are interested in the fruit growing on the company’s many trees.
Stephen E Arnold, December 25, 2023
An Important, Easily Pooh-Poohed Insight
December 24, 2023
This essay is the work of a dumb dinobaby. No smart software required.
Dinobaby here. I am on the regular highway, not the information highway. Nevertheless l want to highlight what I call an “easily poohpoohed factoid. The source of the item this morning is an interview titled “Google Cloud Exec: Enterprise AI Is Game-Changing, But Companies Need to Prepare Their Data.”
I am going to skip the PR baloney, the truisms about Google fumbling the AI ball, and rah rah about AI changing everything. Let me go straight to factoid which snagged my attention:
… at the other side of these projects, what we’re seeing is that organizations did not have their data house in order. For one, they had not appropriately connected all the disparate data sources that make up the most effective outputs in a model. Two, so many organizations had not cleansed their data, making certain that their data is as appropriate and high value as possible. And so we’ve heard this forever — garbage in, garbage out. You can have this great AI project that has all the tenets of success and everybody’s really excited. Then, it turns out that the data pipeline isn’t great and that the data isn’t streamlined — all of a sudden your predictions are not as accurate as they could or should have been.
Why are points about data significant?
First, investors, senior executives, developers, and the person standing on line with you at Starbucks dismisses data normalization as a solved problem. Sorry, getting the data boat to float is a work in progress. Few want to come to grips with the issue.
Second, fixing up data is expensive. Did you ever wonder why the Stanford president made up data, forcing his resignation? The answer is that the “cost of fixing up data is too high.” If the president of Stanford can’t do it, is the run-fo-the-mill fast talking AI guru different? Answer: Nope.
Third, knowledge of exception folders and non-conforming data is confined to a small number of people. Most will explain what is needed to make a content intake system work. However, many give up because the cloud of unknowing is unlikely to disperse.
The bottom line is that many data sets are not what senior executives, marketers, or those who use the data believe they are. The Google comment — despite Google’s sketchy track record in plain honest talk — is mostly correct.
So what?
- Outputs are often less useful than many anticipated. But if the user is uninformed or the downstream system uses whatever is pushed to it, no big deal.
- The thresholds and tweaks needed to make something semi useful are not shared, discussed, or explained. Keep the mushrooms in the dark and feed them manure. What do you get? Mushrooms.
- The graphic outputs are eye candy and distracting. Look here, not over there. Sizzle sells and selling is important.
Net net: Data are a problem. Data have been due to time and cost issues. Data will remain a problem because one can sidestep a problem few recognize and those who do recognize the pit find a short cut. What’s this mean for AI? Those smart systems will be super. What’s in your AI stocking this year?
Stephen E Arnold, December 24, 2023
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