Call 9-1-1. AI Will Say Hello Soon
June 20, 2023
![Vea4_thumb_thumb_thumb_thumb_thumb_t[1]_thumb_thumb](http://arnoldit.com/wordpress/wp-content/uploads/2023/06/Vea4_thumb_thumb_thumb_thumb_thumb_t1_thumb_thumb-9.gif "Vea4_thumb_thumb_thumb_thumb_thumb_t[1]_thumb_thumb")
Note: This essay is the work of a real and still-alive dinobaby. No smart software involved, just a dumb humanoid.
My informal research suggests that every intelware and policeware vendor is working to infuse artificial intelligence or in my lingo “smart software” into their products and services. Most of these firms are not Chatty Cathies. The information about innovations is dribbled out in talks at restricted attendance events or in talks given at these events. This means that information does not zip around like the posts on the increasingly less use Twitter service #osint.
Government officials talking about smart software which could reduce costs but the current budget does not allow its licensing. Furthermore, time is required to rethink what to do with the humanoids who will be rendered surplus and ripe for RIF’ing. One of the attendees wisely asks, “Does anyone want dessert?” A wag of the dinobaby’s tail to MidJourney which has generated an original illustration unrelated to any content object upon which the system inadvertently fed. Smart software has to gobble lunch just like government officials.
However, once in a while, some information becomes public and “real news” outfits recognize the value of the information and make useful factoids available. That’s what happened in “A.I. Call Taker Will Begin Taking Over Police Non-Emergency Phone Lines Next Week: Artificial Intelligence Is Kind of a Scary Word for Us,” Admits Dispatch Director.”
Let me highlight a couple of statements in the cited article.
First, I circled this statement about Portland, Oregon’s new smart system:
A automated attendant will answer the phone on nonemergency and based on the answers using artificial intelligence—and that’s kind of a scary word for us at times—will determine if that caller needs to speak to an actual call taker,” BOEC director Bob Cozzie told city commissioners yesterday.
I found this interesting and suggestive of how some government professionals will view the smart software-infused system.
Second, I underlined this passage:
The new AI system was one of several new initiatives that were either announced or proposed at yesterday’s 90-minute city “work session” where commissioners grilled officials and consultants about potential ways to address the crisis.
The “crisis”, as I understand it, boils down to staffing and budgets.
Several observations:
- The write up makes a cautious approach to smart software. What will this mean for adoption of even more sophisticated services included in intelware and policeware solutions?
- The message I derived from the write up is that governmental entities are not sure what to do. Will this cloud of unknowing have a impact on adoption of AI-infused intelware and policeware systems?
- The article did not include information from the vendor? Is this fact provide information about the reporter’s research or does it suggest the vendor was not cooperative. Intelware and policeware companies are not particularly cooperative nor are some of the firms set up to respond to outside inquiries. Will those marketing decisions slow down adoption of smart software?
I will let you ponder the implications of this brief, and not particularly detailed article. I would suggest that intelware and policeware vendors put on their marketing hats and plug them into smart software. Some new hurdles for making sales may be on the horizon.
Stephen E Arnold, June 20. 2023
NSO Group: How Easy Are Mobile Hacks?
April 25, 2023
I am at the 2023 US National Cyber Crime Conference, and I have been asked, “What companies offer NSO-type mobile phone capabilities?” My answer is, “Quite a few.” Will I name these companies in a free blog post? Sure, just call us at 1-800-YOU-WISH.
A more interesting question is, “Why is Israel-based NSO Group the pointy end of a three meter stick aimed at mobile devices?” (To get some public information about newly recognized NSO Group (Pegasus) tricks, navigate to “Triple Threat. NSO Group’s Pegasus Spyware Returns in 2022 with a Trio of iOS 15 and iOS 16 Zero-Click Exploit Chains.” I would point out that the reference to Access Now is interesting, and a crime analyst may find a few minutes examining what the organization does, its “meetings,” and its hosting services time well spent. Will I provide that information in a free blog post. Please, call the 800 number listed above.)
Now let’s consider the question regarding the productivity of the NSO technical team.
First, Israel’s defense establishment contains many bright people and a world-class training program. What happens when you take well educated people, the threat of war without warning, and an outstanding in-service instructional set up? The answer is, “Ideas get converted into exercises. Exercises become test code. Test code gets revised. And the functional software becomes weaponized.”
Second, the “in our foxhole” mentality extends once trained military specialists leave the formal service and enter the commercial world. As a result, individuals who studied, worked, and in some cases, fought together set up companies. These individuals are a bit like beavers. Beavers do what beavers do. Some of these firms replicate functionality similar to that developed under the government’s watch and sell those products. Please, note, that NSO Group is an exception of sorts. Some of the “insights” originated when the founders were repairing mobile phones. The idea, however, is the same. Learning, testing, deploying, and the hiring individuals with specialized training by the Israeli government. Keep in mind the “in my foxhole” notion, please.
Third, directly or indirectly important firms in Israel or, in some cases, government-assisted development programs provide: [a] Money, [b] meet up opportunities like “tech fests” in Tel Aviv, and [c] suggestions about whom to hire, partner with, consult with, or be aware of.
Do these conditions exist in other countries? In my experience, to some degree this approach to mobile technology exploits does. There are important differences. If you want to know what these are, you know the answer. Buzz that 800 number.
My point is that the expertise, insights, systems, and methods of what the media calls “the NSO Group” have diffused. As a result, there are more choices than ever before when it comes to exploiting mobile devices.
Where’s Apple? Where’s Google? Where’s Samsung? The firms, in my opinion, are in reactive mode, and, in some cases, they don’t know what they don’t know.
Stephen E Arnold, April 25, 2023
Is Intelware Square Dancing in Israel?
March 10, 2023
It is a hoe down. Allemande Left. Do Si Do. Circle Left. Now Promenade. I can hear the tune in “NSO Group Co-Founder Emerges As New Majority Owner.” My toe was tapping when I read:
Omri Lavie – the “O” in NSO Group … appears to have emerged as the company’s new majority owner. Luxembourg filings show that Lavie’s investment firm, Dufresne Holding, is – for now – the sole owner of a Luxembourg-based holding company that ultimately owns NSO Group.
What’s the company’s technology enable? The Guardian says:
Pegasus can hack into any phone without leaving an obvious trace, enabling users to gain access to a person’s encrypted calls and chats, photographs, emails, and any other information held on a phone. It can also be used to turn a phone into a remote listening device by controlling its recorder.
Is the Guardian certain that this statement embraces the scope of the NSO Group’s capabilities? I don’t know. But the real newspaper sounds sure that it has its facts lined up.
Was the transition smooth? Well, there may have been some choppy water as the new owner boarded. The article reports:
[The] move follows in the wake of multiple legal fights between NSO and a US-based financial company that is now known as Treo, which controls the equity fund that owns a majority stake in NSO. A person familiar with the matter said Treo had been alerted to the change in ownership of the company’s shares in a recent letter by Lavie, which appears to have caught the financial group by surprise. The person said Treo was still trying to figure out the financial mechanism that Lavie had used to assume control of the shares, but that it believed the company’s financial lenders had, in effect, ceded control of the group to the Israeli founder.
I find it interesting when the milieu of intelligence professionals intersects with go-go money people. Is Treo surprised.
Allemande Right. Do Si Do. Promenade home.
Stephen E Arnold, March 10, 2023
Adulting Desperation at TikTok? More of a PR Play for Sure
March 1, 2023
TikTok is allegedly harvesting data from its users and allegedly making that data accessible to government-associated research teams in China. The story “TikTok to Set One-Hour Daily Screen Time Limit by Default for Users under 18” makes clear that TikTok is in concession mode. The write up says:
TikTok announced Wednesday that every user under 18 will soon have their accounts default to a one-hour daily screen time limit, in one of the most aggressive moves yet by a social media company to prevent teens from endlessly scrolling….
Now here’s the part I liked:
Teenage TikTok users will be able to turn off this new default setting… [emphasis added]
The TikTok PR play misses the point. Despite the yip yap about Oracle as an intermediary, the core issue is suspicion that TikTok is sucking down data. Some of the information can be cross correlated with psychological profiles. How useful would it be to know that a TikTok behavior suggests a person who may be susceptible to outside pressure, threats, or bribes. No big deal? Well, it is a big deal because some young people enlist in the US military and others take jobs at government entities. How about those youthful contractors swarming around Executive Branch agencies’ computer systems, Congressional offices, and some interesting facilities involved with maps and geospatial work?
I have talked about TikTok risks for years. Now we get a limit on usage?
Hey, that’s progress like making a square wheel out of stone.
Stephen E Arnold, March 1, 2023
A Challenge for Intelware: Outputs Based on Baloney
February 23, 2023
I read a thought-troubling write up “Chat GPT: Writing Could Be on the Wall for Telling Human and AI Apart.” The main idea is:
historians will struggle to tell which texts were written by humans and which by artificial intelligence unless a “digital watermark” is added to all computer-generated material…
I noted this passage:
Last month researchers at the University of Maryland in the US said it was possible to “embed signals into generated text that are invisible to humans but algorithmically detectable” by identifying certain patterns of word fragments.
Great idea except:
- The US smart software is not the only code a bad actor could use. Germany’s wizards are moving forward with Aleph Alpha
- There is an assumption that “old” digital information will be available. Digital ephemera applies to everything to information on government Web sites which get minimal traffic to cost cutting at Web indexing outfits which see “old” data as a drain on profits, not a boon to historians
- Digital watermarks are likely to be like “bulletproof” hosting and advanced cyber security systems: The bullets get through and the cyber security systems are insecure.
What about intelware for law enforcement and intelligence professionals, crime analysts, and as-yet-unreplaced paralegals trying to make sense of available information? GIGO: Garbage in, garbage out.
Stephen E Arnold, February 23, 2023
Synthetic Content: A Challenge with No Easy Answer
January 30, 2023
Open source intelligence is the go-to method for many crime analysts, investigators, and intelligence professionals. Whether social media or third-party data from marketing companies, useful insights can be obtained. The upside of OSINT means that many of its supporters downplay or choose to sidestep its downsides. I call this “OSINT blindspots”, and each day I see more information about what is becoming a challenge.
For example, “As Deepfakes Flourish, Countries Struggle with Response” is a useful summary of one problem posed by synthetic (fake) content. What looks “real” may not be. A person sifting through data assumes that information is suspect. Verification is needed. But synthetic data can output multiple instances of fake information and then populate channels with “verification” statements of the initial item of information.
The article states:
Deepfake technology — software that allows people to swap faces, voices and other characteristics to create digital forgeries — has been used in recent years to make a synthetic substitute of Elon Musk that shilled a crypto currency scam, to digitally “undress” more than 100,000 women on Telegram and to steal millions of dollars from companies by mimicking their executives’ voices on the phone. In most of the world, authorities can’t do much about it. Even as the software grows more sophisticated and accessible, few laws exist to manage its spread.
For some government professionals, the article says:
problematic applications are also plentiful. Legal experts worry that deepfakes could be misused to erode trust in surveillance videos, body cameras and other evidence. (A doctored recording submitted in a British child custody case in 2019 appeared to show a parent making violent threats, according to the parent’s lawyer.) Digital forgeries could discredit or incite violence against police officers, or send them on wild goose chases. The Department of Homeland Security has also identified risks including cyber bullying, blackmail, stock manipulation and political instability.
The most interesting statement in the essay, in my opinion, is this one:
Some experts predict that as much as 90 per cent of online content could be synthetically generated within a few years.
The number may overstate what will happen because no one knows the uptake of smart software and the applications to which the technology will be put.
Thinking in terms of OSINT blindspots, there are some interesting angles to consider:
- Assume the write up is correct and 90 percent of content is authored by smart software, how does a person or system determine accuracy? What happens when a self learning system learns from itself?
- How does a human determine what is correct or incorrect? Education appears to be struggling to teach basic skills? What about journals with non reproducible results which spawn volumes of synthetic information about flawed research? Is a person, even one with training in a narrow discipline, able to determine “right” or “wrong” in a digital environment?
- Are institutions like libraries being further marginalized? The machine generated content will exceed a library’s capacity to acquire certain types of information? Does one acquire books which are “right” when machine generated content produces information that shouts “wrong”?
- What happens to automated sense making systems which have been engineered on the often flawed assumption that available data and information are correct?
Perhaps an OSINT blind spot is a precursor to going blind, unsighted, or dark?
Stephen E Arnold, January 30, 2023
The LaundroGraph: Bad Actors Be On Your Toes
January 20, 2023
Now here is a valuable use of machine learning technology. India’s DailyHunt reveals, “This Deep Learning Technology Is a Money-Launderer’s Worst Nightmare.” The software, designed to help disrupt criminal money laundering operations, is the product of financial data-science firm Feedzai of Portugal. We learn:
“The Feedzai team developed LaundroGraph, a self-supervised model that might reduce the time-consuming process of assessing vast volumes of financial interactions for suspicious transactions or monetary exchanges, in a paper presented at the 3rd ACM International Conference on AI in Finance. Their approach is based on a graph neural network, which is an artificial neural network or ANN built to process vast volumes of data in the form of a graph.”
The AML (anti-money laundering) software simplifies the job of human analysts, who otherwise must manually peruse entire transaction histories in search of unusual activity. The article quotes researcher Mario Cardoso:
“Cardoso explained, ‘LaundroGraph generates dense, context-aware representations of behavior that are decoupled from any specific labels.’ ‘It accomplishes this by utilizing both structural and features information from a graph via a link prediction task between customers and transactions. We define our graph as a customer-transaction bipartite graph generated from raw financial movement data.’ Feedzai researchers put their algorithm through a series of tests to see how well it predicted suspicious transfers in a dataset of real-world transactions. They discovered that it had much greater predictive power than other baseline measures developed to aid anti-money laundering operations. ‘Because it does not require labels, LaundroGraph is appropriate for a wide range of real-world financial applications that might benefit from graph-structured data,’ Cardoso explained.”
For those who are unfamiliar but curious (like me), navigate to this explanation of bipartite graphs. The future applications Cardoso envisions include detecting other financial crimes like fraud. Since the researchers intend to continue developing their tools, financial crimes may soon become much trickier to pull off.
Cynthia Murrell, January 20, 2022
The Intelware Sector: In the News Again
January 13, 2023
It’s Friday the 13th. Bad luck day for Voyager Labs, an Israel-based intelware vendor. But maybe there is bad luck for Facebook or Meta or whatever the company calls itself. Will there be more bad luck for outfits chasing specialized software and services firms?
Maybe.
The number of people interested in the savvy software and systems which comprise Israel’s intelware industry is small. In fact, even among some of the law enforcement and intelligence professionals whom I have encountered over the years, awareness of the number of firms, their professional and social linkages, and the capabilities of these systems is modest. NSO Group became the poster company for how some of these systems can be used. Not long ago, the Brennan Center made available some documents obtained via legal means about a company called Voyager Labs.
Now the Guardian newspaper (now begging for dollars with blue and white pleas) has published “Meta Alleges Surveillance Firm Collected Data on 600,000 Users via Fake Accounts.” the main idea of the write up is that an intelware vendor created sock puppet accounts with phony names. Under these fake identities, the investigators gathered information. The write up refers to “fake accounts” and says:
The lawsuit in federal court in California details activities that Meta says it uncovered in July 2022, alleging that Voyager used surveillance software that relied on fake accounts to scrape data from Facebook and Instagram, as well as Twitter, YouTube, LinkedIn and Telegram. Voyager created and operated more than 38,000 fake Facebook accounts to collect information from more than 600,000 Facebook users, including posts, likes, friends lists, photos, comments and information from groups and pages, according to the complaint. The affected users included employees of non-profits, universities, media organizations, healthcare facilities, the US armed forces and local, state and federal government agencies, along with full-time parents, retirees and union members, Meta said in its filing.
Let’s think about this fake account thing. How difficult is it to create a fake account on a Facebook property. About eight years ago as a test, my team created a fake account for a dog — about eight years ago. Not once in those eight years was any attempt to verify the humanness or the dogness of the animal. The researcher (a special librarian in fact) set up the account and demonstrated to others on my research team how the Facebook sign up system worked or did not work in this particularly example. Once logged in, faithful and trusting Facebook seemed to keep our super user logged into the test computer. For all I know, Tess is still logged in with Facebook doggedly tracking her every move. Here’s Tess:
Tough to see that Tess is not a true Facebook type, isn’t it?
Is the accusation directed at Voyager Labs a big deal? From my point of view, no. The reason that intelware companies use Facebook is that Facebook makes it easy to create a fake account, exercises minimal administrative review of registered user, and prioritizes other activities.
I personally don’t know what Voyager Labs did or did not do. I don’t care. I do know that other firms providing intelware have the capability of setting up, managing, and automating some actions of accounts for either a real human, an investigative team, or another software component or system. (Sorry, I am not at liberty to name these outfits.)
Grab your Tum’s bottle and consider these points:
- What other companies in Israel offer similar alleged capabilities?
- Where and when were these alleged capabilities developed?
- What entities funded start ups to implement alleged capabilities?
- What other companies offer software and services which deliver similar alleged capabilities?
- When did Facebook discover that its own sign up systems had become a go to source of social action for these intelware systems?
- Why did Facebook ignore its sign up procedures failings?
- Are other countries developing and investing in similar systems with these alleged capabilities? If so, name a company in England, France, China, Germany, or the US?
These one-shot “intelware is bad” stories chop indiscriminately. The vendors get slashed. The social media companies look silly for having little interest in “real” identification of registrants. The licensees of intelware look bad because somehow investigations are somehow “wrong.” I think the media reporting on intelware look silly because the depth of the information on which they craft stories strikes me as shallow.
I am pointing out that a bit more diligence is required to understand the who, what, why, when, and where of specialized software and services. Let’s do some heavy lifting, folks.
Stephen E Arnold, January 13, 2023
Cyber Investigators: Feast, Famine, or Poisoned Data in 2023
January 11, 2023
At this moment in time, the hottest topic among some cyber investigators is open source intelligence or OSINT. In 2022, the number of free and for-fee OSINT tools and training sessions grew significantly. Plus, each law enforcement and intelligence conference I attended in 2022 was awash with OSINT experts, exhibitors, and investigators eager to learn about useful sites, Web and command line techniques, and intelware solutions combining OSINT information with smart software. I anticipate that 2023 will be a bumper year for DYOR or do your own research. No collegial team required, just a Telegram group or a Twitter post with comments. The Ukraine-Russia conflict has become the touchstone for the importance of OSINT.
Over pizza, my team and I have been talking about how the OSINT “revolution” will unwind in 2023. On the benefit side of the cyber investigative ledger, OSINT is going to become even more important. After 30 years in the background, OSINT has become the next big thing for investigators, intelligence professionals, entrepreneurs, and Beltway bandits. Systems developed in the US, Israel, and other countries continue to bundle sophisticated analytics plus content. The approach is to migrate basic investigative processes into workflows. A button click automates certain tasks. Some of the solutions have proven themselves to be controversial. Voyager Lab and the Los Angeles Police Department generated attention in late 2021. The Brennan Center released a number of once-confidential documents revealing the capabilities of a modern intelware system. Many intelware vendors have regrouped and appear to be ready to returned to aggressive marketing of their systems, its built-in data, and smart software. These tools are essential for certain types of investigations whether in US agencies like Homeland Security or in financial crime investigations at FINCEN. Even state and city entities have embraced the mantra of better, faster, easier, and, in some cases, cheaper investigations.
Another development in 2023 will be more tension between skilled human investigators and increasingly smarter software. The bean counters (accountants) see intelware as a way to reduce the need for headcount (full time equivalents) and up the amount of smart software and OSINT information. Investigators will face an increase in cyber crime. Some involved in budgeting will emphasize smart software instead of human officers. The crypto imbroglio is just one facet of the factors empowering online criminal behavior. Some believe that the Dark Web, CSAM, and contraband have faded from the scene. That’s a false idea. In the last year or so, what my team and I call the “shadow Web” has become a new, robust, yet hard-to-penetrate infrastructure for cyber crime. Investigators now face an environment into which a digital Miracle-Gro has been injected. Its components are crypto, encryption, and specialized software that moves Web sites from Internet host to Internet host in the click of a mouse. Chasing shadows is a task even the most recent intelware systems find difficult to accomplish.
However, my team and I believe that there is another downside for law enforcement and a major upside for bad actors. The wide availability of smart software capable of generating misinformation in the form of text, videos, and audio. Unfortunately today’s intelware is not yet able to flag and filter weaponized information in real time or in a reliable way. OSINT advocates and marketers unfamiliar with the technical challenges of ignoring “fake” information downplay the risk of weaponized or poisoned information. A smart software system ingesting masses of digital information can, at this time, learn from bogus data and, therefore, output misleading or incorrect recommendations. In 2023, poisoned data continue to derail many intelware systems as well as traditional investigations when insufficient staff are available to determine provenance and accuracy. Our research has identified 10 widely-used mathematical procedures particularly sensitive to bogus information. Few want to discuss these out-of-sight sinkholes in public forums. Hopefully the reluctance to talks about OSINT blindspots will fade in 2023.
The feast? Smart software. Masses of information.
The famine? Funds to expand the hiring of full time (not part time) investigators and the money needed to equip these professionals with high-value, timely instruction about tools, sources, pitfalls, and methods for verification of data.
The poison? The ChatGPT and related tools which can make anyone with basic scripting expertise into a volcano of misinformation.
Let me suggest four steps to begin to deal with the feast, famine, and poison challenges?
First, individuals, trade groups, and companies marketing intelware to law enforcement and intelligence entities stick to the facts about their systems. The flowery language and the truth-stretching lingo must be decreased. Why do intelware vendors experience brutal churn among licensees? The distance between the reality of the system and the assertions made to sell the system.
Second, procurement processes and procurement professionals must become advocates for reform. Vendors often provide “free” trials and then work to get “on the budget.” The present procurement methods can lead to wasted time, money, and contracting missteps. Outside-the-box ideas like a software sandbox require consideration. (If you want to know more about this, message me.)
Third, consulting firms which are often quick to offer higher salaries to cyber investigators need to evaluate the impact of their actions on investigative units. There is no regulatory authority monitoring the behavior of these firms. The Wild West of cyber investigator poaching hampers some investigations. Legislation perhaps? More attention from the Federal Trade Commission maybe? Putting the needs of the investigators ahead of the needs of the partners in the consulting firms?
Fourth, a stepped up recruitment effort is needed to attract investigators to the agencies engaged in dealing with cyber crime. In my years of work for the US government and related entities, I learned that government units are not very good at identifying, enlisting, and retaining talent. This is an administrative function that requires more attention from individuals with senior administrative responsibilities. Perhaps 2023 will generate some progress in this core personnel function.
Don’t get me wrong. I am optimistic about smart software. I believe techniques to identify and filter weaponized information can be enhanced and improved. I am confident that forward leaning professionals in government agencies can have a meaningful impact on institutionalized procedures and methods associated with fighting cyber crime.
My team and I are committed to conducting research and sharing our insights with law enforcement and intelligence professionals in 2023. My hope is that others will adopt a similar “give back” and “pay it forward” approach in 2023 in the midst of feasts, famines, and poisoned data.
Thank you for reading. — Stephen E Arnold, January 11, 2023
Palantir Makes Clear That Its Aggressively Marketed Systems May Not Work as Advertised
December 21, 2022
The real journalists at the Wall Street Journal has made painfully clear that Palantir’s smart software and sophisticated platform for functioning like the seeing stone in Lord of the Rings does not work.
You can read the real news analysis in “Palantir Misfires on Revenue Tied SPAC Deals.” The main point of the write up is that Palantir, equipped with proprietary technology and oodles of seeing stone expert, lost a great deal of money quickly.
The article says:
The bets have backfired.
So what? No big deal. Tens of millions gone, maybe hundreds of millions. The bigger loss is the exposure of the shortcomings of smart software. What did Palantir’s spokesperson say:
The market has turned an it is now clear that these investments were unsuccessful. It was a bet on a group of early stage companies that, with the benefit of hindsight, we wish we did not make.
But Palantir’s marketing since the firm open for intelligence analysis in 2003 or almost two decades ago has pitched the system’s ability to reveal what ordinary intelware cannot identify. In my files, I have some Palantir marketing material. Here’s an example:
Who doesn’t want data sovereignty? ©Palantir Technologies
Several observations:
- The Palantir management team presumably had access to Gotham and other Palantir technology. But the Palantir system did deliver massive financial losses. Some seeing stone.
- In my opinion, Palantir made big bets in order to get a big payoff so that the company’s financial strength and the excellence of its smart software would be evident. What’s evident is that even Palantir’s software and its wizards cannot get the Palantir systems to be right about “bets.”
- Intelware and policeware vendors typically sell to government and selected financial services customers. Converting intelligence software tuned to the needs of a three letter agency has not worked in the past, and it is now evident Palantir may be failing in its commercial push now.
- Intelware works because no matter how slick the intelware is, governments also rely on old fashioned methods before taking action.
- Palantir’s technology is almost 20 years old, based on open source, and highly derivative. There are better, faster, and cheaper options available from Palantir’s competitors.
Net net: Palantir has embraced full throttle marketing. The company has done some interesting things regarding the IBM Analysts Notebook file formats. Palantir’s investment were, in my opinion, investments which made it attractive to the recipients of Palantir’s funds to become Palantir customers. As I write this, Palantir’s marketing is chugging along, but Palantir’s share price is a stellar $6.43 a share. A blind seeing stone? Hmmmm. Good question.
Stephen E Arnold, December 21, 2022
-
- Subscribe to Beyond Search
Feature archive
News archive
-
