Walmart plans to deploy sensors across its 4,600 US stores by the end of 2026 to track 90 million pallets of groceries shipped annually [Editor's note: non-paywalled source]. The retailer and technology vendor Wiliot announced the expansion Thursday. The sensors will monitor the location, condition and temperature of perishables as they move from warehouses to stores. Walmart started testing Wiliot's sensors at a Texas warehouse in 2023 and has expanded to 500 locations. The full rollout will cover the retailer's US store network and 40 distribution centers. The microchips measure 0.7 square millimeters and are embedded in shipping labels. They use Bluetooth to transmit real-time data about pallets. Walmart previously relied on manual scanning and paper checks by employees. The Arkansas-based company employs 2.1 million people but increased revenues by $150 billion over five years without adding workers. Walmart accounts for more than a fifth of US grocery sales.

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Top college degrees may no longer provide the edge they once did in the job market, per LinkedIn CEO Ryan Roslansky. "I think the mindset shift is probably the most exciting thing because my guess is that the future of work belongs not anymore to the people that have the fanciest degrees or went to the best colleges, but to the people who are adaptable, forward thinking, ready to learn, and ready to embrace these tools," Roslansky said. "It really kind of opens up the playing field in a way that I think we've never seen before." A 2024 Microsoft survey found 71% of business leaders would choose less-experienced candidates with AI skills over experienced candidates without them. LinkedIn data showed job postings requiring AI literacy increased about 70% year-over-year. Roslansky said AI will not replace humans but people who embrace AI will replace those who don't.

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An anonymous reader shares a report: It's not the vibes; Earth is literally getting darker. Scientists have discovered that our planet has been reflecting less light in both hemispheres, with a more pronounced darkening in the Northern hemisphere, according to a study published on Monday in Proceedings of the National Academy of Sciences. The new trend upends longstanding symmetry in the surface albedo, or reflectivity, of the Northern and Southern hemispheres. In other words, clouds circulate in a way that equalizes hemispheric differences, such as the uneven distribution of land, so that the albedos roughly match -- though nobody knows why. "There are all kinds of things that people have noticed in observations and simulations that tend to suggest that you have this hemispheric symmetry as a kind of fundamental property of the climate system, but nobody's really come up with a theoretical framework or explanation for it," said Norman Loeb, a physical scientist at NASA's Langley Research Center, who led the new study. "It's always been something that we've observed, but we haven't really explained it fully." To study this mystery, Loeb and his colleagues analyzed 24 years of observations captured since 2000 by the Clouds and the Earth's Radiant Energy System (CERES), a network of instruments placed on several NOAA and NASA satellites. Instead of an explanation for the strange symmetry, the results revealed an emerging asymmetry in hemispheric albedo; though both hemispheres are darkening, the Northern hemisphere shows more pronounced changes which challenges "the hypothesis that hemispheric symmetry in albedo is a fundamental property of Earth," according to the study.

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Japan is just a few days away from running out of Asahi Super Dry as the producer of the nation's most popular beer wrestles with a devastating cyber attack that has shut down its domestic breweries. From a report: The vast majority of Asahi Group's 30 factories in Japan have not operated since Monday after the attack disabled its ordering and delivery system, the company said. Retailers are already expecting empty shelves as the outage stretches into its fourth day with no clear timeline for factories recommencing operations. Super Dry could also run out at izakaya pubs, which rely on draught and bottles. Lawson, one of Japan's big convenience stores, said in a statement that it stocks many Asahi Group products and "it is possible that some of these products may become increasingly out of stock from tomorrow onwards." "This is having an impact on everyone," said an executive at another of Japan's major retailers. "I think we will run out of products soon. When it comes to Super Dry, I think we'll run out in two or three days at supermarkets and Asahi's food products within a week or so."

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Americans' confidence in the mass media has edged down to a new low, with just 28% expressing a "great deal" or "fair amount" of trust in newspapers, television and radio to report the news fully, accurately and fairly, according to Gallup. From the report: This is down from 31% last year and 40% five years ago. Meanwhile, seven in 10 U.S. adults now say they have "not very much" confidence (36%) or "none at all" (34%). When Gallup began measuring trust in the news media in the 1970s, between 68% and 72% of Americans expressed confidence in reporting. However, by the next reading in 1997, public confidence had fallen to 53%. Media trust remained just above 50% until it dropped to 44% in 2004, and it has not risen to the majority level since. The highest reading in the past decade was 45% in 2018, which came just two years after confidence had collapsed amid the divisive 2016 presidential campaign.

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A hacking group claims to have pulled data from a GitLab instance connected to Red Hat's consulting business, scooping up 570 GB of compressed data from 28,000 customers. From a report: The hack was first reported by BleepingComputer and has been confirmed by Red Hat itself. "Red Hat is aware of reports regarding a security incident related to our consulting business and we have initiated necessary remediation steps," Stephanie Wonderlick, Red Hat's VP of communications told 404 Media. A file released by the hackers and viewed by 404 Media suggested that the hacking group may have acquired some data related to about 800 clients, including Vodafone, T-Mobile, the US Navy's Naval Surface Warfare Center, the Federal Aviation Administration, Bank of America, AT&T, the U.S. House of Representatives, and Walmart.

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Tech companies are struggling to fill AI-specialized roles despite a surplus of available tech talent. U.S. colleges more than doubled the number of computer science degrees awarded between 2013 and 2022. Major layoffs at Google, Meta, and Amazon flooded the job market. The Bureau of Labor Statistics predicts businesses will employ 6% fewer computer programmers in 2034 than last year. The disconnect stems from companies seeking workers with specific AI expertise. Runway CEO Cristobal Valenzuela estimates only hundreds of people worldwide possess the skills to train complex AI models. His company advertises base salaries up to $490,000 for a director of machine learning. Daniel Park's startup Pickle offers up to $500,000 base salary and expects candidates willing to work seven days a week. The WSJ story includes the example of one James Strawn, who was laid off from Adobe over the summer after 25 years as a senior software quality-assurance engineer. The 55-year-old has had one interview since his layoff. Matt Massucci, CEO of recruiting firm Hirewell, told the publication companies can automate some low-level engineering tasks and redirect that money to high-end talent.

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More than 100,000 people were sent to hospitals due to heatstroke in Japan between May 1 and Sunday, according to preliminary data from the Fire and Disaster Management Agency. Bloomberg, via Japan Times: The number is the most on record, according to NHK. Transport to hospitals of patients linked to heatstroke over the period rose almost 3% to 100,143 from a year earlier as Japan saw its national temperature record broken twice in a matter of days. The country's average temperature during this summer was the highest since the statistic began being compiled in 1898, the nation's weather agency said last month. Heat waves around the world are being made stronger and more deadly due to human-caused climate change. Government officials in August pledged to boost public health protections and encouraged the installation of more air conditioners in school gymnasiums and the use of cooling centers in communal spaces like libraries. New rules came into effect this summer that require employers to take adequate measures to protect workers from extreme temperatures.

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Major health insurers are threatening to drop renowned cancer centers from their networks during contract negotiations, Memorial Sloan Kettering Cancer Center's president and CEO Selwyn M. Vickers and chairman Scott M. Stuart wrote in a story published by WSJ. Memorial Sloan Kettering Cancer Center reported that both Anthem Blue Cross Blue Shield and UnitedHealthcare prepared to terminate network agreements while patients underwent active cancer treatment. FTI Consulting found that 45% of 133 provider-payer disputes in 2024 failed to reach timely agreements. The disruptions have affected tens of thousands of patients. Research published in the Journal of the National Cancer Institute found that care disruptions lead to more advanced-stage diagnoses and worse outcomes. Similar contract disputes involved Mayo Clinic, Johns Hopkins University and University of North Carolina Health. New York lawmakers introduced legislation this year requiring insurers to maintain coverage for cancer patients during negotiations and until treatment concludes. Memorial Sloan Kettering's leadership described the practice as using patients as bargaining chips despite record insurer profits.

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Google has laid off over 100 employees in design-related roles, including user experience research and cloud design teams, as part of broader cost-cutting measures to prioritize AI infrastructure. CNBC reports: Earlier this week, the company laid off employees within the cloud unit's "quantitative user experience research" teams and "platform and service experience" teams, as well as some adjacent teams, according to internal documents viewed by CNBC. The roles often focus on using data, surveys and other tools to understand and implement user behaviors that inform product development and design. Google has halved some of the cloud unit's design teams, and many of those affected are U.S.-based roles. Some employees have been given until early December to find a new role within the company.

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Scientists have discovered complex organic molecules within the icy plume erupting from Saturn's moon Enceladus, strengthening the case that its hidden saltwater ocean may harbor the conditions for life. The Guardian reports: The sixth largest of Saturn's moons, Enceladus has become one of the leading contenders in the search for bodies that could harbor extraterrestrial life, with the Cassini mission -- which ended in 2017 -- revealing the moon has a plume of water ice grains and vapors erupting from beneath the surface at its south pole. The phenomenon has since been captured by the James Webb space telescope, with the plume reaching nearly 6,000 miles into space. The source of this material is thought to be a saltwater ocean that lies beneath the moon's icy crust. Now researchers studying data from the Cassini mission say they have discovered organic substances within the plume, with some types of molecule detected there for the first time. Dr Nozair Khawaja, a planetary scientist at Freie University Berlin and lead author of the work, said the results increased the known complexity of the chemistry that is happening below the surface of Enceladus. "When there is complexity happening, that means that the habitable potential of Enceladus is increasing right now," he said. Writing in the journal Nature Astronomy, Khawaja and colleagues reported how their previous work had revealed the presence of organic substances and salts within ice grains found in a ring of Saturn, known as the "E-ring," that is composed of material ejected from Enceladus. [...] While the new findings do not show that there is life on Enceladus, Khawaja said they indicate there are complex chemical pathways at play that could lead to the formation of substances that could be biologically relevant. The results, he added, support plans by the European Space Agency (ESA) to investigate the moon for signs of life. "I think all the signals are green here for Enceladus," Khawaja said. The findings add momentum to ESA's proposed mission to directly search for biological signs around 2042. According to the ESA, the mission will consist of an orbiter around Enceladus that will also fly through the plumes, as well as a lander that will touch down in the south pole region of the moon.

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Usually, when we have a "Tales from the Interview" we're focused on bad interviewing practices. Today, we're mixing up a "Tales" with a CodeSOD.

Today's Anonymous submitter does tech screens at their company. Like most companies do, they give the candidate a simple toy problem, and ask them to solve it. The goal here is not to get the greatest code, but as our submitter puts it, "weed out the jokers".

Now our submitter didn't tell us what the problem was, but I don't have to know what the problem was to understand that this is wrong:

int temp1=i, temp2=j; while(temp1<n&&temp2<n&&board[temp1][temp2]==board[i][j]){ if(temp1+1>=n||temp1+2>=n) break; if(board[temp1][temp2]==board[temp1][temp2+1]==board[temp1][temp2+2]) points++; ele break; temp2++; }

As what is, in essence, a whiteboard coding exercise, I'm not going to mark off for the typo on ele (instead of else). But there's still plenty "what were you thinking" here.

From what I can get just from reading the code, I think they're trying to play tic-tac-toe. I'm guessing, but that they check three values in a column makes me think it's tic-tac-toe. Maybe some abstracted version, where the board is larger than 3x3 but you can score based on any run of length 3?

So we start by setting temp1 and temp2 equal to i and j. Then our while loop checks: are temp1 and temp2 still on the board, and does the square pointed at by them equal the square pointed at by i and j.

At the start of our loop, we have a second check, which is testing for a read-ahead; ensuring that our next check doesn't fall off the boundaries of the array. Notably, the temp1 part of the check isn't really used- they never finished handling the diagonals, and instead are only checking the vertical column on the next. Similarly, temp2 is the only thing incremented in the loop, never temp1.

All in all, it's a mess, and no, the candidate did not receive an offer. What we're left with is some perplexing and odd code.

I know this is verging into soapbox territory, but I want to have a talk about how to make tech screens better for everyone. These are things to keep in mind if you are administering one, or suffering through one.

The purpose of a tech screen is to inspire conversation. As a candidate, you need to talk through your thought process. Yes, this is a difficult skill that isn't directly related to your day-to-day work, but it's still a useful skill to have. For the screener, get them talking. Ask questions, pause them, try and take their temperature. You're in this together, talk about it.

The screen should also be an opportunity to make mistakes and go down the wrong path. As the candidate's understanding of the problem develops, they'll likely need to go backwards and retrace some steps. That's good! As a candidate, you want to do that. Be gracious and comfortable with your mistakes, and write code that's easy to fix because you'll need to. As a screener, you should similarly be gracious about their mistakes. This is not a place for gotchas or traps.

Finally, don't treat the screen as an "opportunity to weed out jokers". It's so tempting, and yes, we've all had screens with obviously unqualified candidates. It sucks for everybody. But if you're in the position to do a screen, I want to tell you one mindset hack that will make you a better interviewer: you are not trying to filter out candidates, you are gathering evidence to make the best case for this candidate.

Your goal, in administering a technical screen, is to gather enough evidence that you can advocate for this candidate. Your company clearly needs the staffing, and they've gotten this far in the interview process, so let's assume it's not a waste of everyone's time.

Many candidates will not be able to provide that evidence. I'm not suggesting you override your judgment and try and say "this (obviously terrible) candidate is great, because (reasons I stretch to make up)." But you want to give them every opportunity to convince you they're a good fit for the position, you want to dig for evidence that they'll work out. Target your questions towards that, target your screening exercises towards that.

Try your best to walk out of the screen with the ability to say, "They're a good fit because…" And if you fail to walk out with that, well- it's not really a statement about the candidate. It just doesn't work out. Nothing personal.

But if the code they do write during the screen is uniquely terrible, feel free to send it to us anyway. We love bad code.

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