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2025-01-13
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panalo999 free 100 SEATTLE (AP) — Great Osobor and Zoom Diallo each scored a dozen points and Washington rolled to a 90-53 win over NJIT Sunday in its final tune-up before diving full-time into the Big Ten season. The Huskies bounced back from an upset loss at the hands of Seattle U that snapped a 19-game win streak against the cross-town rival. Osobor opened the game with a three-point play in the first minute and followed it with a layup and the Huskies raced to a 20-point lead by intermission, 46-26. Washington's bench saw plenty of playing time with four players scoring at least nine points. Diallo led the bench effort with 12 points, five assists and a pair of steals. Wilhelm Briedenbach finished with 10 points and five rebounds. Sebastian Robinson was 5 of 22 from the field, including 0-for-4 from distance, but led the Highlanders (2-12) with 16 points. Tim Moore Jr. added 14 points and Ari Fulton contributed 11. The Huskies will look look for their first Big Ten Conference victory after an 0-2 start when they play host to Maryland on Thursday and No. 24 Illinois on Sunday. NJIT returns home to host Medgar Evers on Saturday. Get poll alerts and updates on the AP Top 25 throughout the season. Sign up here . AP college basketball: https://apnews.com/hub/ap-top-25-college-basketball-poll and https://apnews.com/hub/college-basketballJimmy Carter: Many evolutions for a centenarian ‘citizen of the world’Why NuScale Power Stock Jumped 28% to an All-Time High This Week

SOMERVILLE, N.J. , Nov. 23, 2024 /PRNewswire/ -- Specified Technologies Inc. has announced their latest Firestop Clash Management (FCM) and Firestop Locator (FSL) releases. FCM automates the process of locating and assigning firestop solutions to conditions within Autodesk ® Revit ® , enabling firestop novices to find firestop solutions like a firestop expert. In this latest release, STI has further expanded the capabilities of FCM by integrating it with their firestop documentation and compliance tool, Firestop Locator (FSL). FSL enables contractors and facilities' teams to document the status, location, and products used for any and all fire life safety services across a building. In the latest update for FSL, teams can now create custom items to track any service on their project beyond the base six (Penetration, Joint, Extinguisher, Door, Damper, and Barrier). Teams can also modify the base six items to include project specific inspection and maintenance requirements and any other details that they would like to be tracked. With this new integration, decisions made during the design phase of a building using FCM are seamlessly passed into FSL during the construction phase, giving implementation teams a jump start on work to be done. This integration also improves data integrity and eliminates the guesswork in the field of determining what firestop systems and products are to be used where. "We're proud of the latest releases of FCM and FSL and look forward to continuing to support the fire life safety community," says Justin Pine, Sr. Manager of Software & Services. Specified Technologies Inc. promotes life and building safety by developing innovative fire protection systems and accompanying digital tools that help stop the spread of fire, smoke, and hot gases. Our SpecSeal® and EZ Path® product lines are engineered for easy installation and deliver powerful performance, often resulting in lower installed costs. Since firestopping is our only business, we concentrate all our resources on providing the highest quality, fully tested, innovative firestopping solutions. Contact: Jess Bern ; jbern@stifirestop.com View original content to download multimedia: https://www.prnewswire.com/news-releases/specified-technologies-inc-unveils-firestop-clash-management-and-locator-updates-302314629.html SOURCE Specified Technologies, Inc.None

The first TD to be elected to the 34th Dáil is Fine Gael’s Jennifer Carroll MacNeill in Dun Laoghaire . The now second-time TD received 20.9% of first preference votes in the leafy constituency, which would be seen as a heartland for Fine Gael. She romped home on the first count, topping the poll with 11,685 votes. Her elevation to the Dáil however, came unexpectedly in 2020, after Maria Bailey found herself removed from the Fine Gael ticket over ‘Swinggate’. Ms Carroll MacNeill was the replacement, where she came in on the 8th count. Despite only being a first-time TD in the previous Dáil, she was rapidly elevated up the government ranks and became a junior minister in the Department of Finance in 2022 when Leo Varadkar returned as Taoiseach. LIVE: GE24 updates Scroll for live results in your area Cork East Cork North Central Cork North West Cork South Central Cork South West Kerry Clare Limerick City Limerick County Tipperary North Tipperary South Waterford Dublin Bay North Dublin Bay South Dublin Central Dublin Fingal East Dublin Fingal West Dublin Mid West Dublin North West Dublin Rathdown Dublin South Central Dublin South West Dublin West Dun Laoghaire Carlow/Kilkenny Kildare North Kildare South Laois Longford/Westmeath Louth Meath East Meath West Offaly Wexford Wicklow Wicklow/Wexford Cavan/Monaghan Donegal Galway East Galway West Mayo Roscommon/Galway Sligo/Leitrim She received a further promotion when Simon Harris came into the top job, taking on the role as junior minister for Europe. Ms Carroll MacNeill has been steeped in Fine Gael and prior to being an elected representative worked as an advisor to both Frances Fitzgerald and Alan Shatter. If Fine Gael returns to high office once all the TDs elected, Ms Carroll MacNeill would be tipped for a big job, potentially rising to Cabinet. Ms MacNeill has not hidden her aspirations to be the leader of Fine Gael, having previously said that she wants to be Ireland’s first female Taoiseach. While that position might not open for a while, Ms Carroll MacNeill is one to watch in Fine Gael. A graduate of Trinity College Dublin, she also has a PhD in public policy and Political Science at University College Dublin. She is married to former rugby player Hugo MacNeill. The couple have one child.Few tech-industry traditions are as time-honored as vaporware : stuff that gets publicly demoed well before it’s ready to ship. In some cases, the companies in question are just slower to finish their work than they’d expected. Other times, they’re strategically drumming up enthusiasm for something new and shiny to distract customers from competitive offerings. Either way, any gratification involved is delayed, assuming the product ever ships at all—which is not a given . The high-stakes intensity of the current battle of the tech giants for AI supremacy has led to countless launches that remain vaporous for at least a while, a dynamic I wrote about back in May . So it’s no shock that two new Google creations, Project Astra and Project Mariner, aren’t shipping products. For now, Google DeepMind , the company’s AI research arm, is only making them available to a small pool of hand-selected “trusted testers.” In fact, the “Project” in their names indicates that they’re showcases for work in progress rather than actual products. And yet, dismissing them as mere vaporware feels unfair. Google is being quite clear about its goals for Astra and Mariner—which is to get a better feel for how people might use new forms of AI before springing them on millions or billions of unprepared humans. Particularly given some of the travails the company has had with AI features that were seemingly undertested before release, it’s the responsible thing to do. Both projects fall into general AI categories also being ardently pursued by other companies. Astra, which Google first demoed at its I/O developer conference in May, is the company’s vision of a next-generation AI assistant—not an inflexible and limited piece of software like Google Assistant , or a text-centric chatbot like the Gemini app , but a helper that listens, speaks, and sees your world. It’s roughly akin to the version of ChatGPT Advanced Voice Mode that OpenAI unveiled in May—though that product’s camera-enabled features are still vaporware as I write this. (Maybe that will change before OpenAI’s current 12-day advent calendar of “Shipmas” announcements is over.) Project Mariner, meanwhile, is a Chrome extension that can use websites for you, typing and clicking on its own to accomplish tasks you’d otherwise perform yourself. It’s in the same conceptual zip code as Anthropic’s “Computer Use” feature, which debuted as part of its Claude large language model in October and lets that chatbot control apps. Both are steps toward one of the tech industry’s biggest current obsessions: agentic AI that can work more independently on your behalf. What Google learns from Astra and Mariner could matter as much to the quality of the experiences it builds as to the raw capabilities of its Gemini large language model—yet another sign that the AI rubber has hit the road. “Academic benchmarks are important, but nowadays, when we say something is best in class, what we mean is, do the users find it best in class?” says Google DeepMind CTO Koray Kavukcuoglu. “The model’s capability has to be merged with the way the application works and is useful. That’s a change for all the researchers.” That basic reality was reflected in the demos I saw during a recent visit to Google. Running on an Android phone and utilizing its camera, Astra recognized images of paintings, such as Edvard Munch’s The Scream , and answered questions such as, “If I like this, what other artists might I like?” It also scanned the spines and covers of books in a scientific library to help pick among them and read, and summarized two pages of information in a travel book. What it had to say seemed roughly comparable in intelligence to what you might coax out of the Gemini chatbot in a text-based conversation, and wasn’t always dazzling when judged purely by the information it conveyed. For instance, when I pointed the phone at a shelf of books about hearing and asked Astra to recommend a good introduction to the psychology of hearing, it picked one titled . . . Introduction to the Psychology of Hearing . Shown six bottles of wine and asked which one went best with beef Bourguignon, it rhapsodized about a pinot noir—“a superb pairing!” Even I, a guy who knows nothing about wine, could have figured that out on my own. Still, Astra’s spoken interface and ability to see the world around it made for a far richer experience than typing prompts into a chatbot. (It might get even richer if Astra eventually runs on AR glasses as well as phones, a scenario Google is working on .) At one point, after the app misunderstood the question about beef Bourguignon—it thought it involved coq au vin—it not only apologized, but did so with an embarrassed half laugh. Maybe that falls well short of OpenAI’s quest to turn the movie Her into everyday life , but it’s an example of simulated humanity we never got from Google Assistant or Siri. Among the goals of Astra’s controlled testing is to give Google DeepMind’s safety team the opportunity to chime in on exactly how much personality the software should exhibit. “We think a lot about anthropomorphism—what is and isn’t appropriate—because we are not trying to build someone to replace the humans in someone’s life,” says Google DeepMind senior director of responsibility Helen King. Along with that, the team is also assessing such obvious issues as the privacy concerns raised by an AI assistant that sees what you see and has a superhuman photographic memory. For now, Google DeepMind has decided that Astra should only remember the most recent 10 minutes of video it’s captured. Project Mariner is in an even earlier stage of exploration. In one of the demos I saw, it read a salmon teriyaki recipe in a Google Doc and then complied with the request of director of product management Jaclyn Konzelmann to go off to Safeway’s site, find the necessary vegetables, and place them in a shopping cart. It took several minutes to perform this task and painstakingly explained what it was doing in a pane next to the browser window. For now, Mariner can’t see the shopping process through to actually placing an order, which—considering scenarios like AI getting confused and accidentally buying 10,000 onions, or maybe even doing so on purpose—is probably just as well. The point of Mariner’s cautious approach, Konzelmann told me, is to err on the side of transparency and avoid potential problems: “We just think it’s really important at this stage of where this research prototype is to keep the human front and center and able to control what’s happening.” Of course, tech enthusiasts might think it’s kind of cool to have AI help with tasks such as veggie shopping even if it doesn’t save any time. Indeed, King told me that Google’s trusted testers skew more toward AI expertise than the general population, so the company can learn only so much from them. “At the moment, they’ve mostly been those who are familiar [with AI] because we’re in such early stages,” she says. “But as we expand, it’s really important for us to have that mix of civil society and academia—the experts in that as well, and the broader public. Because we want our tools to be able to be used by everyone, not just those who already have that AI literacy.” Everyone I spoke with during my Google visit emphasized that Astra and Mariner will evolve further as the company learns how outsiders use them. “The whole team is configured in such a way that we can do this kind of exploration quite fast, and that’s the journey we’ve been on,” says Kavukcuoglu. The proof of their value will be in the AI features Google eventually ships. But they do seem promising as a way to make some initial headway. READ/LISTEN/WATCH/TRY The news, as picked by your friends. A decade ago, I wrote about Nuzzel , a wonderful app that curated new articles on the web using a strikingly simple yet effective algorithm: It showed you ones that had been shared by people you followed on Twitter. After being acquired by a company that was itself acquired by Twitter, Nuzzel shut down. But a new service called Sill feels like Nuzzel reborn, except that it uses the people you follow on Bluesky and/or Mastodon to find its news. It, too, is wonderful, and yet another good reason to use these social networks . Apple being born. Last week, I recommended The Verge’ s list of the best tech books of all time—but said most of my favorites weren’t on it. So from time to time, at least, I’ll share some of them here. There have been more books about Apple than any other tech company, yet the very first one— Michael Moritz’s The Little Kingdom: The Private Story of Apple Computer —remains one of the best. It’s a fun, funny, intimate look at the company and founders Steve Jobs and Steve Wozniak, which was published in 1984, before the Apple story got so sprawling that it tended to overwhelm many of the authors who tried to tell it. Moritz, then a Time reporter, went on to become a famed venture capitalist but revisited his book in 2009 in a new edition called Return to the Little Kingdom . Sadly, it seems to have fallen out of print again, even as an e-book, but both the original and updated versions are available at the Internet Archive. You’ve been reading Plugged In, Fast Company ’s weekly tech newsletter from me, global technology editor Harry McCracken. If a friend or colleague forwarded this edition to you—or if you’re reading it on FastCompany.com—you can check out previous issues and sign up to get it yourself every Wednesday morning. I love hearing from you: Ping me at hmccracken@fastcompany.com with your feedback and ideas for future newsletters. I’m also happy to hear from you on Bluesky , Mastodon , or Threads . More top tech stories from ‘Fast Company’ In defense of being ‘extremely online.’ The creator economy by the numbers Richard Florida maintains that in a time filled with loneliness, isolation, and alienation, the digital creator economy provides hundreds of millions of people with a source of meaning, purpose, community, and much-needed income. Read More → Why olive oil girl is TikTok’s main character TikTok user Megan Chacalos recalled a high school mishap involving an olive oil hair mask. What happened from there, you couldn’t make this up. Read More → How Big Tech labor organizers aim to unite for Trump 2.0 Supercharged during the first Trump administration, tech-worker activism faces new challenges and motivations as the 47th president heads to Washington. Read More → Reddit rolls out its own AI-powered search tool after cracking down on AI companies Reddit’s RDDT stock jumped 4% by mid-afternoon on Monday in response to the new AI search tool. Read More → Amtrak’s sleek new high-speed electric trains are coming next spring Taking the train from D.C. to Boston is about to get nicer—and a little faster. Read More → 4 browser-boosting ChatGPT Chrome extensions Save time and work more efficiently with these AI-powered extensions for web searching, writing, summarizing, and beyond. Read More → The extended deadline for Fast Company’s World Changing Ideas Awards is this Friday, December 13, at 11:59 p.m. PT. Apply today.

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