Say More Look Up Mashable Selects Mashable Voices Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Switch Off Trending Now In My Bag All Series Apple's next Beats headphones have reportedly leaked (again) We probably won't see them at next month's iPhone event, though. Haley Henschel is a Chicago-based Senior Shopping Reporter at Mashable who reviews and finds deals on popular tech, from laptops to gaming consoles and VPNs. She has years of experience covering shopping holidays and can tell you what's actually worth buying on Black Friday and Amazon Prime Day. Her work has also explored the driving forces behind digital trends within the shopping sphere, from dupes to 12-foot skeletons . All products featured here are independently selected by our editors and writers.

Look Up Safety Net Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Hub Versus Say More Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series Everything you need to know to beat the scalpers. Ben Williams is a freelance writer at Mashable, having joined the team in June 2025. With over 10 years experience in gaming, tech, TV, anime, and film, there's nothing he hasn't covered. Alongside Ben's other work at IGN, Radio Times, Eurogamer, UNILAD Tech, and Rock Paper Shotgun, he also has bylines at sites like GamesRadar+, PCGamesN, ScreenSphere, Twinfinite, ScreenRant, GGRecon, and more. All products featured here are independently selected by our editors and writers.

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Technology Engineering 19th century real estate agents used'peepshow' technology to sell glitzy mansion Cosmoramas were an 1840s version of Zillow--but with paintings. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. An illustration of a cosmorama, taken from the women's magazine, La Belle Assemblee. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

South Korean chip giant SK Hynix has raised a record-breaking $26.5bn ahead of its Wall Street debut amid soaring demand for semiconductors used in AI. SK Hynix said on Friday that it had sold 177.9 million American depositary shares (ADS) at $149 each ahead of its listing on the New York-based Nasdaq stock exchange. SK Hynix's 177.9 million ADSs are equivalent to 18 million ordinary shares. SK Hynix's initial public offering (IPO) marks the largest-ever listing by a foreign company in the US, surpassing Chinese e-commerce giant Alibaba's $25bn debut in 2014. The listing also ranks as the second-largest globally, after SpaceX's record-breaking $85.7bn Nasdaq listing in June.

South Korean computer chip maker SK Hynix has raised $26.5bn (£19.8bn) in its New York share offering, marking the largest ever listing by a foreign firm in the US. The company, a key supplier to artificial intelligence (AI) chip giant Nvidia, said on Thursday that it had sold 177.9 million American depositary shares for $149 each. The shares are set to begin trading on Friday on the Nasdaq. In May, SK Hynix saw its market value top $1tn in its home country, lifted by the boom in demand for AI chips. Its share price has more than tripled in South Korea this year, which along with Samsung Electronics has helped boost the benchmark Kospi index by more than 70% over the same period.

SpaceX raised $10bn (£7.5bn) more than initially thought when it sold shares to the public on Friday - bringing in a total of $85.7bn. Elon Musk's rocket and Artificial Intellgience (AI) company pulled off the biggest initial public offering (IPO) in history when it joined New York's Nasdaq stock exchange last week. The listing had raised $75bn from investors, which Musk told employees will be spent funding a significant growth phase. But the banks which backed the IPO exercised a so-called greenshoe clause, which let them purchase an extra $10bn of SpaceX shares. The extra $10bn raised, revealed in a statement by SpaceX announcing the completion of the listing, would by itself rank as one of the biggest IPOs in history.

As the housing market stalls, Zillow's CEO sees AI as "an ingredient rather than a threat" that can both help the company protect its turf and reinvent how people search for homes. This will not be a banner year for the real estate app Zillow. "We describe the home market as bouncing along the bottom," CEO Jeremy Wacksman said in our conversation this week. Last year was dismal for the real estate market, and he expects things to improve only marginally in 2026. "The way to think about it is that there were 4.1 million existing homes sold last year--a normal market is 5.5 to 6 million," Wacksman says.

Rather than offering a revolutionary new approach to gig work, RentAHuman is filled with bots that just want me to be another cog in the AI hype machine. I'm not above doing some gig work to make ends meet. In my life, I've worked snack food pop-ups in a grocery store, ran the cash register for random merch booths, and even hawked my own plasma at $35 per vial. So, when I saw RentAHuman, a new site where AI agents hire humans to perform physical work in the real world on behalf of the virtual bots, I was eager to see how these AI overlords would compare to my past experiences with the gig economy. Launched in early February, RentAHuman was developed by software engineer Alexander Liteplo and his cofounder, Patricia Tani.

Graph-structured data is ubiquitous and powerful in representing complex relationships in many online platforms. While graph neural networks (GNNs) are widely used to learn from such data, counterfactual graph learning has emerged as a promising approach to improve model interpretability. Counterfactual explanation research focuses on identifying a counterfactual graph that is similar to the original but leads to different predictions. These explanations optimize two objectives simultaneously: the sparsity of changes in the counterfactual graph and the validity of its predictions. Building on these qualitative optimization goals, this paper introduces CFRecs, a novel framework that transforms counterfactual explanations into actionable insights. CFRecs employs a two-stage architecture consisting of a graph neural network (GNN) and a graph variational auto-encoder (Graph-VAE) to strategically propose minimal yet high-impact changes in graph structure and node attributes to drive desirable outcomes in recommender systems. We apply CFRecs to Zillow's graph-structured data to deliver actionable recommendations for both home buyers and sellers with the goal of helping them navigate the competitive housing market and achieve their homeownership goals. Experimental results on Zillow's user-listing interaction data demonstrate the effectiveness of CFRecs, which also provides a fresh perspective on recommendations using counterfactual reasoning in graphs.