Tag: technology

Shopify CEO mandates AI-first hiring policy, reshaping workforce expectations

  • Shopify’s CEO Tobi Lütke mandates that employees must justify why a role can’t be automated before hiring, signaling AI adoption as essential for productivity and efficiency. AI proficiency will now factor into performance reviews.
  • Companies like Shopify, Google and Meta are cutting jobs while heavily investing in AI tools (e.g., Shopify Magic, GitHub Copilot) to handle tasks from customer service to coding, redefining traditional roles.
  • While AI displaces some jobs, it also creates opportunities for higher-value work. Critics warn of disproportionate impacts on junior or repetitive roles, citing challenges in rapid upskilling.
  • Shopify’s workforce shrank from 8,300 in 2023 to 8,100 by late 2024, reflecting a broader trend of tech layoffs (152,000+ in 2024) as companies prioritize AI-driven efficiency over traditional hiring.
  • Industries like legal, marketing and finance are adopting AI for tasks like contract review and data analysis. Experts predict a future where human-AI collaboration dominates, requiring new policies for reskilling and worker protections.

Shopify CEO Tobi Lütke is making one thing clear to employees: artificial intelligence isn’t just a tool—it’s a fundamental requirement. In a memo sent to staff last month, the e-commerce executive announced that teams must now justify why a job can’t be automated before requesting additional hires, signaling a seismic shift in corporate hiring strategies amid the AI revolution.

The directive underscores a broader trend in the tech industry, where businesses are aggressively investing in AI while simultaneously trimming headcounts. For Lütke, the mandate is about optimizing efficiency. “What would this area look like if autonomous AI agents were already part of the team?” he wrote in the memo, later shared publicly on X. “This question can lead to really fun discussions and projects.”

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100+ Meta employees, including Head of AI Policy, confirmed as ex-IDF

Meta’s recruitment of vast numbers of former Israeli soldiers raises serious questions about the tech giant’s commitment to free speech – and provides a peek into a biased content moderation process that’s been heavily censoring pro-Palestinian accounts amid the Israeli siege of Gaza.

This article was originally published by ¡Do Not Panic!

More than one hundred former Israeli spies and IDF soldiers work for tech giant Meta, including its head of AI policy, who served in the IDF under an Israeli government scheme that allows non-Israelis to volunteer for the Israeli army.

Shira Anderson, an American international rights lawyer, is Meta’s AI policy chief who voluntarily enlisted for the IDF in 2009 under a program which enables non-Israeli Jews who aren’t eligible for military conscription to join the Israeli army.

Through this program, known as Garin Tzabar, many non-Israelis who have fought for the IDF have been implicated in war crimes and crimes against humanity since Israel’s genocide of Gaza began in October 2023.

Anderson served as a non-commissioned officer in the IDF for over two years where she worked in the Military Strategic Information Section, writing dossiers and public relations propaganda for the IDF. She was also the liaison between the IDF and foreign military attaches stationed in Israel, and liaison to the Red Cross.

With AI a critical emerging technology for tech giants and militaries, Anderson’s role at Meta is an important one. She develops the legal guidance, policies and public relations talking points concerning AI issues and regulation for all of Meta’s key areas, including its product, public policy and government affairs teams.

At Meta, Anderson, who is based in Meta’s Washington DC office, is in familiar company. More than one hundred former Israeli spies and IDF soldiers are employed by the company, my new investigation shows, many of whom worked for Israel’s spy agency Unit 8200.

These ex-IDF members are based evenly across Meta’s US offices and in its Tel Aviv office, and a significant number of them, like Anderson, have a specialization in AI. Given that Israel has made extensive use of AI not just to conduct its genocide, but to establish its prior system of apartheid, surveillance and occupation, Meta’s recruiting of IDF AI specialists is particularly insidious. Did these former Israeli spies use their Unit 8200 connections to help the tech giant collaborate with the IDF to build kill lists? According to a report last year, Unit 8200 infiltrated WhatsApp groups and marked every name in a group for assassination if just one alleged Hamas member was also in the group, no matter the size or content of the group chat.

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UK creating ‘murder prediction’ tool to identify people most likely to kill

The UK government is developing a “murder prediction” programme which it hopes can use personal data of those known to the authorities to identify the people most likely to become killers.

Researchers are alleged to be using algorithms to analyse the information of thousands of people, including victims of crime, as they try to identify those at greatest risk of committing serious violent offences.

The scheme was originally called the “homicide prediction project”, but its name has been changed to “sharing data to improve risk assessment”. The Ministry of Justice hopes the project will help boost public safety but campaigners have called it “chilling and dystopian”.

The existence of the project was discovered by the pressure group Statewatch, and some of its workings uncovered through documents obtained by Freedom of Information requests.

Statewatch says data from people not convicted of any criminal offence will be used as part of the project, including personal information about self-harm and details relating to domestic abuse. Officials strongly deny this, insisting only data about people with at least one criminal conviction has been used.

The government says the project is at this stage for research only, but campaigners claim the data used would build bias into the predictions against minority-ethnic and poor people.

The MoJ says the scheme will “review offender characteristics that increase the risk of committing homicide” and “explore alternative and innovative data science techniques to risk assessment of homicide”.

The project would “provide evidence towards improving risk assessment of serious crime, and ultimately contribute to protecting the public via better analysis”, a spokesperson added.

The project, which was commissioned by the prime minister’s office when Rishi Sunak was in power, is using data about crime from various official sources including the Probation Service and data from Greater Manchester police before 2015.

The types of information processed includes names, dates of birth, gender and ethnicity, and a number that identifies people on the police national computer.

Statewatch’s claim that data from innocent people and those who have gone to the police for help will be used is based on a part of the data-sharing agreement between the MoJ and GMP.

A section marked: “type of personal data to be shared” by police with the government includes various types of criminal convictions, but also listed is the age a person first appeared as a victim, including for domestic violence, and the age a person was when they first had contact with police.

Also to be shared – and listed under “special categories of personal data” – are “health markers which are expected to have significant predictive power”, such as data relating to mental health, addiction, suicide and vulnerability, and self-harm, as well as disability.

Sofia Lyall, a researcher for Statewatch, said: “The Ministry of Justice’s attempt to build this murder prediction system is the latest chilling and dystopian example of the government’s intent to develop so-called crime ‘prediction’ systems.

“Time and again, research shows that algorithmic systems for ‘predicting’ crime are inherently flawed.

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Copperhead Torpedo-Like Underwater Kamikaze Drones Rolled Out By Anduril

Anduril has rolled out a new family of modular torpedo-like uncrewed underwater vehicles (UUV) called Copperhead. This includes kamikaze types designed with a particular eye toward arming larger uncrewed undersea platforms like the company’s Ghost Shark. Today’s announcement follows last week’s unveiling of the rapidly deployable Seabed Sentry submarine surveillance system that could also potentially be configured to launch UUVs, which TWZ was first to report on.

The Copperhead family of UUVs, which Anduril also refers to as autonomous undersea vehicles (AUV), currently consists of the 100 and 500-pound-class types, as well as “M” munition subvariants of each. The Copperhead-100 has an overall length of just under nine feet (approximately 2.7 meters) and is 12.75 inches in diameter, while the Copperhead-500 is just over 13 and a half feet (just over four meters) long and 21 inches wide. Exactly what kind of propulsion system either of the UUVs use is also not currently known, but the company says they can both reach top speeds in excess of 30 knots.

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US outpost not given proper air defenses before deadly attack

For three years the United States has been giving Ukraine everything it needs by way of offensive and defensive weapons in its war with Russia. Critically, this has included air defense systems, much of it taken from our own national stockpiles.

Now it turns out that our own troops may have been denied access to anti-drone air defense systems and more sophisticated radar detection months before a lethal attack on a small American outpost in Jordan on Jan. 18, 2024. The drone assault, reportedly launched by the Islamic Resistance in Iraq, an Iranian-backed militia group, resulted in the deaths of three American Army soldiers.

According to the Washington Post, which obtained access to the massive Army internal investigation of the incident through a Freedom of Information Act (FOIA) request, the small outpost was ill-prepared for the attack on a number of levels. But this is key:

The investigation’s findings appear to have some contradictions. For instance, investigators faulted Tower 22’s leaders for failing to “visualize risk” and not appreciating the likelihood of an attack.

Yet commanders above them also failed to envision the base’s vulnerability. Four months before the attack, Army Central, which oversees operations throughout the Middle East, denied a request for an air defense system capable of shooting down drones because, investigators found, only one such system was available and troops in the United States needed it to prepare for deployments. A request for a radar system that could better detect drones also was denied, the report said.

The only counter-drone defenses at Tower 22 were electronic warfare systems designed to disable the aircraft or disrupt their path to a target, according to the investigation and previous reporting by The Post.

A spokesperson for Army Central did not respond to repeated requests for additional information, including regarding who at Army Central denied Tower 22’s appeal for an air defense system.

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The Return of the Dire Wolf

Romulus and Remus are doing what puppies do: chasing, tussling, nipping, nuzzling. But there’s something very un-puppylike about the snowy white 6-month olds—their size, for starters. At their young age they already measure nearly 4 ft. long, tip the scales at 80 lb., and could grow to 6 ft. and 150 lb. Then there’s their behavior: the angelic exuberance puppies exhibit in the presence of humans—trotting up for hugs, belly rubs, kisses—is completely absent. They keep their distance, retreating if a person approaches. Even one of the handlers who raised them from birth can get only so close before Romulus and Remus flinch and retreat. This isn’t domestic canine behavior, this is wild lupine behavior: the pups are wolves. Not only that, they’re dire wolves—which means they have cause to be lonely.

The dire wolf once roamed an American range that extended as far south as Venezuela and as far north as Canada, but not a single one has been seen in over 10,000 years, when the species went extinct. Plenty of dire wolf remains have been discovered across the Americas, however, and that presented an opportunity for a company named Colossal Biosciences. 

Relying on deft genetic engineering and ancient, preserved DNA, Colossal scientists deciphered the dire wolf genome, rewrote the genetic code of the common gray wolf to match it, and, using domestic dogs as surrogate mothers, brought Romulus, Remus, and their sister, 2-month-old Khaleesi, into the world during three separate births last fall and this winter—effectively for the first time de-extincting a line of beasts whose live gene pool long ago vanished. TIME met the males (Khaleesi was not present due to her young age) at a fenced field in a U.S. wildlife facility on March 24, on the condition that their location remain a secret to protect the animals from prying eyes.

The dire wolf isn’t the only animal that Colossal, which was founded in 2021 and currently employs 130 scientists, wants to bring back. Also on their de-extinction wish list is the woolly mammoth, the dodo, and the thylacine, or Tasmanian tiger. Already, in March, the company surprised the science community with the news that it had copied mammoth DNA to create a woolly mouse, a chimeric critter with the long, golden coat and the accelerated fat metabolism of the mammoth.

If all this seems to smack of a P.T. Barnum, the company has a reply. Colossal claims that the same techniques it uses to summon back species from the dead could prevent existing but endangered animals from slipping into extinction themselves. What they learn restoring the mammoth, they say, could help them engineer more robust elephants that can better survive the climatic ravages of a warming world. Bring back the thylacine and you might help preserve the related marsupial known as the quoll. Techniques learned restoring the dire wolf can similarly be used to support the endangered red wolf.

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“Geofenced Every Event”: Democrats Caught Staging Another ‘Inorganic’ Color Revolution Operation Against Trump

Far-left, billionaire-funded NGOs—closely aligned with the rudderless and imploding Democratic Party—have been waging a psychological warfare operation against the American people. Framed as “grassroots,” the party of hate and violence—evident in their “Tesla Takedown” color revolution aimed at killing Tesla to pressure Elon Musk on DOGE—has been building momentum in recent weeks to segue into anti-Trump protests this weekend. The goal is to manufacture the illusion that Trump is wildly unpopular, leveraging a vast network of dark money-funded NGOs that supply rent-a-protesters to rallies nationwide. 

Ahead of anti-Trump protests, we uncovered the Democratic Party’s NGO war machine, totaling 186 NGOs, unions, and other radical leftist groups that supported Saturday’s mass mobilization efforts of rent-a-protesters and, of course, a grassroots component of the protests (mainly old white angry liberals). 

Late Friday, MSNBC’s Rachel Maddow openly boasted about the Democratic Party’s color revolution operation, even giving airtime to Ezra Levin of the NGO Indivisible Project, who attempted to convince the audience that the anti-Musk and anti-Trump protests are organic…

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Asda launches massive trial of live facial recognition technology that can pick up on thieves in SECONDS in an attempt to combat shoplifting ‘epidemic’

In a move branded ‘disproportionate’ and ‘chilling’ by anti-surveillance groups, the retailer is introducing the scheme in five shops across the Manchester area.

The technology has been integrated into Asda’s existing CCTV network and works by scanning images and comparing the results to a known list of individuals who have previously committed criminal activity in one of its stores.

If a match is found by the automated system, in a matter of seconds head office security will conduct a check and report it to the store in question immediately.

The trial is just one of a battery of measures being taken by major stores to combat an ‘epidemic’ of retail crime – just as plummeting conviction rates have led to accusations that shoplifters are able to ‘act with impunity’.

They include Co-op, which has installed ‘fortified’ kiosks featuring toughened screen and keycode-controlled entry in hundreds of stores.

It is also trialling AI that uses CCTV to track suspicious behaviour.

Meanwhile Tesco controversially introduced weighing scales at its Gateshead to check whether customers using ‘Scan as you shop’ aren’t taking home extra goods.

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2025: The iPhone Moment For Humanoid Robots

The race is on to capture the multi-trillion market for humanoid robots. General-purpose robots can be instantly repurposed for any task by AI. Personal robots, for instance, will cook your meals, clean your house, do your laundry, tutor your kids, drive your car, cut your grass, take care of your elderly parents, repair your plumbing, etc. Whereas an iPhone has many apps accessed from a single device, robots will free you from a single screen to invade the physical world. Tesla will likely set the standard with its Optimus model starting at $20-30,000. ⁃ Patrick Wood, Editor.

“There’s an iPhone moment happening with humanoids,” said Brett Adcock, founder of Figure, a humanoid robotics company in California. “It’s going to happen right now,” added the serial entrepreneur, his robots already working on the production line in BMW’s Spartanburg factory. Another major corporate customer is trialing his robots for warehouse work. “To succeed at this, you have to do three things that have never been done before. And you have to get all three of them right within the next 5yrs or you’re going to fail for sure.”

“The first thing is you have to build hardware for humanoids that’s incredibly complex and can never fail, and it’s got to work at human speeds with human range of motion,” explained Adcock. “The second thing is a neural net problem, not a control systems problem. You can’t code your way out of this problem. You need to have a robot that can ingest human-like data through a neural net and it has to be able to imitate what humans do. Humanoid robots are not like arms bolted to a factory table. None of those robots have AI.”

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Woke Employees’ Worst Nightmare: Google Plays Pivotal Role in CBP’s AI-Powered Border Surveillance Upgrade

Google Cloud is at the center of a Customs and Border Protection plan to modernize video surveillance towers that involves deploying machine learning along the southern border, despite previous assurances from the woke Silicon Valley giant to its leftist employees that it was not involved in such projects.

Federal contract documents reviewed by the Intercept reveal that Google Cloud is playing a critical role in upgrading the U.S. Customs and Border Protection’s (CBP) so-called “virtual wall” along the Mexican border. This comes five years after Google Cloud CEO Thomas Kurian assured employees that the company was not working on any projects related to immigration enforcement at the southern border.

The CBP’s plan involves modernizing older video surveillance towers in Arizona, which provide the agency with continuous monitoring of the border. A key aspect of this effort is the integration of machine learning capabilities into CBP cameras, enabling automatic detection of humans and vehicles approaching the border without the need for constant human monitoring.

According to the documents, CBP is purchasing computer vision technology from two vendors: IBM and Equitus. Google’s role is to stitch these services together by operating a central repository for video surveillance data through its ModulAr Google Cloud Platform Environment (MAGE).

The project focuses on upgrading 50 towers with up to 100 cameras across six sites in the Tucson Sector. IBM will provide its Maximo Visual Inspection software, typically marketed for industrial quality control inspections, while Equitus will offer its Video Sentinel, a video surveillance analytics program designed for border surveillance.

A technical diagram within the document shows that every camera in CBP’s Tucson Sector will feed data into Google’s servers. The resulting metadata and keyframes will be sent to CBP’s Google Cloud, with the document stating, “This project will focus initially on 100 simultaneous video streams from the data source for processing.”

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