The cybersecurity firm behind the software update that crashed millions of computers globally has been hit with a complaint over sidelining its white, male employees under a diversity-hiring scheme.
A conservative legal action group alleges that CrowdStrike favors women and minorities for jobs and promotions in coding, programming and other areas through diversity, equity, and inclusion (DEI) policies.
AFL lawyer Dan Epstein said there was plenty of evidence that the $3-billion-a-year firm, which is headquartered in Austin, Texas, used ‘race as a basis for advancement in employment.’
Public statements by CrowdStrike executives showcase ‘values in favor of racial discrimination over the true diversity of thought and opinion’ and indicated ‘unlawful activity’ by the firm, Epstein added.
Tag: technology
How Many Shooters? John Cullen on the Trump Assassination Attempt
750GS in Georgia
An analogy using photography that illuminates human interpersonal communication
I mean no offense to anyone, not even the photographer, but this is an example of how bad normal photos were in the pre-cellphone camera days. It can serve as an analogy for how people communicate interpersonally before FIML. Before FIML, our communication will be restricted, unsophisticated, clunky, and though it may be expressive as in this photo, probably not what we meant or deeply wanted to say. You can see the people in this photo definitely do not do FIML: 1) because the technique had not been invented in 1970; and 2) because you can. It is my firm belief that when millions of people do FIML we will enter an age of really good communication, much better than today. Just as most people now having a good camera on them all the time has yielded a massive improvements in photography, so FIML will deeply improve the ways we speak and listen and feel about doing that. Cellphone cameras give us many opportunities to shoot good photos and lots of practice in how to make a good photo. FIML is not quite like a camera, but it is a kind of cerebral technology that results in partners communicating much better. When we understand the FIML technique and use it often, our communication will improve at least as much as photography has improved due to widespread use of cellphone cameras. ABN
Inside the Military’s Secret Undercover Army
The largest undercover force the world has ever known is the one created by the Pentagon over the past decade. Some 60,000 people now belong to this secret army, many working under masked identities and in low profile, all part of a broad program called “signature reduction.” The force, more than ten times the size of the clandestine elements of the CIA, carries out domestic and foreign assignments, both in military uniforms and under civilian cover, in real life and online, sometimes hiding in private businesses and consultancies, some of them household name companies.
The unprecedented shift has placed an ever greater number of soldiers, civilians, and contractors working under false identities, partly as a natural result in the growth of secret special forces but also as an intentional response to the challenges of traveling and operating in an increasingly transparent world. The explosion of Pentagon cyber warfare, moreover, has led to thousands of spies who carry out their day-to-day work in various made-up personas, the very type of nefarious operations the United States decries when Russian and Chinese spies do the same.
Newsweek’s exclusive report on this secret world is the result of a two-year investigation involving the examination of over 600 resumes and 1,000 job postings, dozens of Freedom of Information Act requests, and scores of interviews with participants and defense decision-makers. What emerges is a window into not just a little-known sector of the American military, but also a completely unregulated practice. No one knows the program’s total size, and the explosion of signature reduction has never been examined for its impact on military policies and culture. Congress has never held a hearing on the subject. And yet the military developing this gigantic clandestine force challenges U.S. laws, the Geneva Conventions, the code of military conduct and basic accountability.
The signature reduction effort engages some 130 private companies to administer the new clandestine world. Dozens of little known and secret government organizations support the program, doling out classified contracts and overseeing publicly unacknowledged operations. Altogether the companies pull in over $900 million annually to service the clandestine force—doing everything from creating false documentation and paying the bills (and taxes) of individuals operating under assumed names, to manufacturing disguises and other devices to thwart detection and identification, to building invisible devices to photograph and listen in on activity in the most remote corners of the Middle East and Africa.
While this program is being done abroad (allegedly) who is doing the same right here in USA? And who has been doing it for many decades? USA has been infiltrated, taken over, and is now being destroyed by a clandestine army similar to what is described in the linked article. And the army described in the article has been infiltrated as well. US policies alone reveal that everything has been infiltrated, taken over. We are living in the midst of a conquered and dying civilization. I bring this topic up often. If it is hard for you to see, just use your imagination while also noticing how rapidly USA has declined. This was not caused by ideas alone or just money. It has been accompanied by violence against young people; taking them out before they can contribute while also replacing them with infiltrators or cooperative ‘useful idiots’ (most of Congress, for example). Incidentally, this also explains the decline in IQ scores in USA. ABN
…One such program was alluded to in a little noticed document dump published by Wikileaks in early 2017 and called “Vault 7”: over 8,000 classified CIA tools used in the covert world of electronic spying and hacking. It is called ExpressLane, where U.S. intelligence has embedded malware into foreign biometrics and watchlist systems, allowing American cyber spies to steal foreign data.
An IT wizard working for Wikileaks in Berlin says the code with ExpressLane suggests that the United States can manipulate these databases. “Imagine for a moment that someone is going through passport control,” he says, hesitant to use his real name because of fear of indictment in the United States. “NSA or the CIA is tasked to corrupt—change—the data on the day the covert asset goes through. And then switch it back. It’s not impossible.”
ibid
Motorcycle Personal Protection Equipment — armor and abrasion — explained
The “EN” stands for “European Norm.” You might also notice armor listed as “CE”. The letters “CE” are the abbreviation of the French phrase “Conformité Européene” which literally means “European Conformity”. The term initially used was “EC Mark” and it was officially replaced by “CE Marking” in the Directive 93/68/EEC in 1993. “CE Marking” is now used in all EU official documents. All of this has to do with the European motorcycle safety standards. America has unofficially adopted these standards, but they are not required by law for street use. In contrast, to ride a motorcycle in Europe, you have to have protective apparel that meets these standards. Since April 2018, all motorcycle garments fall under the scope of the PPE regulation, which basically means that if it is sold as protective motorcycle apparel, it’s deemed to be personal protective equipment and should be tested at an official notified body under a strict set of standards to comply with the PPE regulation.
How are CE-standards and PPE related? Very much, actually. Motorcycle clothing (specifically jackets and pants/trousers, notwithstanding gloves, boots, and impact protectors) is grouped into what’s called Personal Protective Equipment – aka PPE. And like your kitchenware or electronics, PPE is governed by their own specific set of rules and regulations depending on how these products are used and how they are classified, and which group/subgroup they fall under. Here’s where it gets quite complicated. The set of standards that “govern” PPE – specifically motorcycle clothing – for leisure use is CE-standard EN 17092, which has now become a harmonized European standard.
Harmonized standard, meaning that it is a recognized throughout the EU as a tool that’s widely accepted for the certification of PPE motorcycle garments. That said, we’ll disclaimer here and say that this is intended to be a general overview of an incredibly complex subject that is both politically and economically charged. The purpose is to help riders understand that even with an arguably imperfect system in place, the CE-certification label/marking does mean something. It means that the garments have been tested to meet at least the minimum safety requirements, so you actually know what it’s intended use is. And that’s Personal Protective Equipment in the form of motorcycle clothing.
A major impetus behind standard EN 17092 coming into play is because of aforementioned reason: to make sure riders actually get something protective when shopping for motorcycle clothing without any prior knowledge of materials, constructions, or test methods. Just because it looks strong, doesn’t make it so in an emergency situation. And just because it feels sturdy, doesn’t make it appropriate to be worn at riding speeds. The application of the EN 17092 standard means that clothing that looks like protective motorcycle gear, actually is protective motorcycle gear!
Linked article provides a good, clear explanation of European safety standards for motorcycle garments. These standards are unofficially used in USA, which otherwise does not have its own standards. Article explains the reasoning behind the standards and how to determine what fits your needs. ABN
AI Started a New Storm in Geopolitics
As the AI market matures, there is a stark realization in public sectors elsewhere that this is America’s AI world.
You can just picture Sam, Elon, Satya, and Jensen in a Silicon Valley karaoke joint somewhere belting out that ‘80s classic: We are the world.
While governments try to wrap their heads around how to legislate for the Brave New World the US tech industry has thrust upon them, they’re also jostling to grow domestic AI industries. As the AI market matures, there is a stark realization in public sectors elsewhere that this is America’s AI world — the rest of us just live here.
If You Can’t Beat ‘Em, Incentivize ‘Em
Reining in Big Tech means different things in different countries, of course. In China, the Great Firewall is being maintained, more or less. Starting July 9, developer access to ChatGPT will be cut off in China, and domestic rivals are flocking to fill the Sam Altman vacuum. Slightly further down the sliding scale of governmental control is the European Union, which passed the AI Act in March and recently told Meta to stop scraping people’s Facebook data (oh, Meta!) to train its large language models. But EU member states are keen to set themselves up as an AI hub — especially France, which CNBC reports is vying with ex-EU member the UK to attract AI investment.
Cognify
WRITER ALARMED WHEN COMPANY FIRES HIS 60-PERSON TEAM, REPLACES THEM ALL WITH AI
Impostor Syndrome
The pace at which AI has damaged countless industries is whiplash-inducing. And no one understands this better than a writer who in 2023 was excelling at his copywriting job with a team of writers 60 people strong — and by the next year found himself the last human standing, arm in arm with AI imitators he was expected to drag along and get up to speed.
“They wanted to use AI to cut down on costs,” the writer told the BBC, using the pseudonym Benjamin Miller.
At first, the new workflow was this: his manager would feed a headline into an AI model, and it would generate an outline that the team were expected to work with, with Miller doing the final edits.
But that was just the beginning. Months later, management decided to cut humans out of the loop almost completely. Going forward, the AI model would generate articles in their entirety. Shoddy automation was here, and as a consequence, most of the writers lost their jobs. Miller kept his — though his role was going to be a bit different than before.
Now, he was tasked with polishing up the AI’s lackluster prose, and, to quote the BBC, “make it sound more human.” If only there was a way of doing that with, uh, human writers.
Dehumanizing Drudgery
Soon, Miller was the only human employee left on the team. It was down to him, and him alone, to fix up all the AI-generated articles.
“All of a sudden I was just doing everyone’s job,” Miller told the BBC. “Mostly, it was just about cleaning things up and making the writing sound less awkward, cutting out weirdly formal or over-enthusiastic language.”
“It was more editing than I had to do with human writers, but it was always the exact same kinds of edits,” he added. “The real problem was it was just so repetitive and boring. It started to feel like I was the robot.”
And so Miller found himself in the unenviable position of legitimizing the intrusion of AI into his very own job by making the extremely fallible models appear more capable than they actually are. This hasn’t been a fate exclusive to writers; in the service industry, for example, an army of underpaid, outsourced workers secretly worked behind the scenes to power the “AI” drive-thrus at the fast food chain Checkers.
I worked as a translator for many years. Gradually, computers took over and I moved on. I found it liberating to be replaced by machines. The other day I posted a song supposedly composed and played by AI. I think the song is pretty good and is a masterpiece of composition, employing almost every major lyrical and musical trope in its genre. It’s humorous, cleverly mocking, has many good lines—I think her name was Hailey. Where’d you run? The song was based on a Tik Tok clip with the pictured women making a reference to a sexual act. She was joking. The video was widely received with good humor. You can find more reactions at the link. As for the musicality of the tune, I play guitar but AI selected riffs ‘twice as better than I will’. Lots of people dump on music, especially country, because it’s just simple patterns. Steve Pinker has said as much. But AI is going to show Pinker that even his exalted thoughts and prose can be imitated. They too are just simple patterns, tropes. AI is revealing the core of Buddhism, itself the root of skepticism and stoicism, by forcing us see and feel the amalgam of experience and memory that is human ‘creativity’, its transience, emptiness and copyableness by a machine. ABN
California company develops massive catapult to launch satellites into space using ‘10,000 times the force of Earth’s gravity’
SpinLaunch, a California company, is developing a large rotating arm that uses kinetic energy to fling 440-pound satellites into low orbit, with successful tests already in the books. Importantly, the process doesn’t need rocket fuel to work. It’s all powered by electricity.
“This is not a rocket, and clearly our ability to perform in just 11 months this many tests and have them all function as planned, really is a testament to the nature of our technology,” founder and CEO Jonathan Yaney said in a Space.com report from 2022, shortly after a 10th successful launch. The goal is to shoot constellations of satellites skyward — under 600 miles up — by 2026, per the report.
NVIDIA Releases Open Synthetic Data Generation Pipeline for Training Large Language Models
NVIDIA today announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models (LLMs) for commercial applications across healthcare, finance, manufacturing, retail and every other industry.
High-quality training data plays a critical role in the performance, accuracy and quality of responses from a custom LLM — but robust datasets can be prohibitively expensive and difficult to access.
Through a uniquely permissive open model license, Nemotron-4 340B gives developers a free, scalable way to generate synthetic data that can help build powerful LLMs.
The Nemotron-4 340B family includes base, instruct and reward models that form a pipeline to generate synthetic data used for training and refining LLMs. The models are optimized to work with NVIDIA NeMo, an open-source framework for end-to-end model training, including data curation, customization and evaluation. They’re also optimized for inference with the open-source NVIDIA TensorRT-LLM library.
Nvidia stock split: What’s next for the stock and other AI plays
Now entering the stock split zone.
Nvidia (NVDA) is joining its mega-cap tech peers, becoming the fourth Magnificent 7 stock to split since 2022.
The chip giant’s 10-for-1 stock split, which will start trading on Monday, follows significant price growth, with shares up 212% in the past year. That massive rally pushed Nvidia into the $3 trillion club alongside Apple (AAPL) and Microsoft (MSFT), becoming just the third US company ever to reach that milestone.
“A stock split is a vote of confidence from management that the stock will hold its value, as the stock [price] typically increases,” S&P Dow Jones Indices senior analyst Howard Silverblatt says.
NVIDIA CEO Jensen Huang on AI future
A bright future, which also renders humans mostly obsolete to the globalist cabal which will treat the world like Ukraine and Gaza the moment it can no longer be stopped. AI amok likely to be the excuse at the onset. In the end, no excuses will be needed as few will survive. ABN
American Buddhist Net 