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Circle to Search is expanding to three more Android phones

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Circle to Search is expanding to three more Android phones

One of the best new features to arrive on Android devices in recent years is now available on three more phones. Circle to Search is an innovative tool that makes searching more enjoyable and engaging. Now, the Honor Magic V3, Honor 200, and Honor 200 Pro will soon have the Circle to Search feature.

You can easily find more information about anything on the screen by circling it with your finger using Circle to Search. This could be an object in a photo or a word in an article. Circle to Search instantly identifies what you circled and provides relevant search results. It’s a quick and intuitive way to satisfy your curiosity without disrupting your routine.

The Honor Magic V3 will be the first to get Circle to Search, with the feature arriving today, October 10. The Honor Magic 200 and 200 Pro will get it “a little later on.”

The Honor Magic V3 open in someone's hand.
The Honor Magic V3 Joe Maring / Digital Trends

The Honor Magic V3 has been well-received as one of the best folding phones to arrive in 2024. Designed to compete with the Samsung Galaxy Z Fold 6 and Google Pixel 9 Pro Fold, the handset is only 9.2mm thick when folded shut, which is unheard of for this type of phone.

The Honor 200 is a stylish mid-ange smartphone released earlier this spring. Its sleek design and impressive camera capabilities make it a strong contender for those seeking a balance of aesthetics and functionality.

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And then there’s the Honor 200 Pro, the third handset to gain Circle to Search compatibility. This premium phone builds on the regular Honor 200 and offers several upgrades, including many in the camera department. It features Qualcomm’s Snapdragon 8s Gen 3 processor.

The Honor 200 Pro smartphone lying on a rock outside.
The Honor 200 Pro Joe Maring / Digital Trends

Circle to Search was first introduced in January. At the time, it was exclusive to the Samsung Galaxy S24 and Google Pixel 8 series. Soon, however, it arrived on more Galaxy and Pixel phones and began making its way to tablets such as the Galaxy Tab S9 series.

Honor is a Chinese company that primarily produces smartphones. It also produces laptops, tablets, wearables, and routers.



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Apple, Anker, Sonos, Lego and more

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Apple, Anker, Sonos, Lego and more

Another October Prime Day is on the books, but all of the deals haven’t disappeared from Amazon’s site just yet. This year’s Fall Prime Day brought a bunch of discounts on smartphones, speakers, wearables, robot vacuums and more tech, and you can still grab some of the sale prices right now even after the event has officially ended. While it’s possible we see some of these deals come back in a month during Black Friday, it’s a good idea to pick up your top items now if you’re keen on getting some of your holiday shopping done early. Here are the best Prime Day deals you can still get today.

10th-gen iPad

Photo by Nathan Ingraham / Engadget

Apple deals can be hit or miss during Amazon Prime Day, but we saw a number of good ones this time and many of them are still available. Whether you’ve been on the hunt for a new Apple device for yourself or you know you want to pick one up as a gift, you can save a bit of cash if you do so now.

A number of Lego sets are still on sale post October Prime Day. Some of our favorites come from the Star Wars, Super Mario and Harry Potter lineups, and you’ll find savings up to 41 percent on those.

Roku Streaming Stick 4K

Will Lipman Photography for Engadget

Yes, Black Friday is right around the corner, but it would be unwise to sleep on these Prime Day tech deals that you can still get today. We’re seeing steep discounts on headphones, TVs, streaming devices, gaming gear and more, making it a good time to pick up something for yourself or cross a few items off your holiday shopping list early.

Follow @EngadgetDeals on Twitter for the latest tech deals and buying advice, and stay tuned to Engadget.com for all of the best tech deals coming out of October Prime Day 2024.

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PlanetPlay and the UN create Play2Act initiative to poll gamers about climate change

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PlanetPlay and the UN create Play2Act initiative to poll gamers about climate change

PlanetPlay, a non-profit platform that contributes to environmental action through games, and the United Nations Development Programme (UNDP) have joined forces to launch a new initiative called Play2Act.

Through a poll embedded in popular games, Play2Act aims to capture public views about how video games can contribute to addressing the urgent and interconnected climate and nature crises affecting people and the planet, said Jude Ower, chief strategy officer at PlanetPlay (and formerly the CEO at Playmob, which was acquired by PlanetPlay in May), in an interview with GamesBeat.

The poll, set to launch with an initial rollout in the last quarter of 2024, followed by a second phase anticipated in mid-2025, is being conducted in the framework of the Games Realizing Effective and Affective Transformation (GREAT) project funded by the European Union Horizon and UK Research and Innovation (UKRI).

The GREAT initiative, running from 2023-2026, aims to explore the innovative potential of games in helping citizens express their preferences and attitudes on policy issues, including the climate crisis.

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“We’ve got so many studios now getting behind it. And essentially what we’re doing with the data is to take the aggregate, anonymized data to the UN and they’ll use that to see if they could influence climate policy as part of something called the climate promise,” Ower said. “We’ll have an industry wide report. Every six months, we’ll update the questions so that they can track progress and trends and have the most up to date data.”

Origins

Ower while at Playmob worked before with the UNDP to survey 30 million gamers to get their insights on how they feel about climate change, and that provided good feedback for policymakers. That took plae a few years ago.

And now the latest move, which has been a couple of years in the making, is to do new polls and collect that data on a regular basis to understand changing attitudes over time.

“The hopes is that could, at speed and scale, get gamers to speak up on how they feel, and then provide this data to policymakers,” Ower said.

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The only way to reach large numbers of people, Ower figured, was to do it through polls inside games. The UNDP thought about its next iteration about hwo to use games as a tool for policy change on climate. The funding came through GREAT. That helped “put the methodology under a microscope” and make the survey more scientifically robust.

Now the poll is live in a bunch of games.

“The partnership with the UN fits perfectly into this so we set something up called Play2Act. It is a two-year project with UNDP. Every six months, we roll out a new survey in game,” Ower said. “We use a game link that can be put into the editorial of in-game messaging.”

Subway Surfers has a poll for Play2Act inside the game.

Play2Act will use in-game polls to gather insights from players, particularly younger audiences, on how green gaming content and video games can be powerful tools to help fight climate change and preserve nature. This interactive approach allows players to share their views while staying immersed in their favorite games.

Respondents will have the option to fill out the survey in 10 languages: Arabic, English, French, German, Italian, Japanese, Mandarin, Portuguese, Russian, and Spanish.

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Microsoft Xbox, FunPlus, Rovio (AngryBirds2, Angry Birds Friends and Dream Blast), Niantic (Pokemon GO!), Sybo (Subway Surfer), Space Ape Games (BeatStar, Transformers: Earth Wars), Jagex (Runescape), Trailmix (Love & Pies), Hi-Rez (Smite), Creative Mobile (Nitro Nation) and Ten Square Games (Fishing Clash) are some of the initiative’s founding game studios and publishers.

PlanetPlay and UNDP extend an open invitation to more game producers and studios, regardless of their size, to join Play2Act.

Given their impact and reach, video games have the potential to play a significant role in helping to tackle the climate and nature crisis.

Rhea Loucas, CEO at PlanetPlay, said in a statement, “With the global gaming population expected to surpass 3.3 billion by the end of 2024, video games have solidified their status as one of the most influential cultural forces of our era. This initiative seeks to strategically engage the gaming community, leveraging the unparalleled reach and impact of video games as a powerful driver of positive change.”

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Jennifer Baumwoll, acting UNDP Climate Hub Director, said in a statement, “Thanks to a multi-partner collaboration, Play2Act will enable players to speak up on how video games can be part of the solution. We want to use this popular platform to give a voice to all actors on how a critical industry like gaming can contribute to global climate and environmental action. Guided by Climate Promise, UNDP’s flagship climate action initiative, we aim to mobilise collective action and implement groundbreaking solutions to address the climate and nature crises.”

Yennie Solheim, Director of Social Impact at games publisher Niantic, said in a statement, “By giving video game players the opportunity to voice their opinions on sustainability, we can start to encourage positive change addressing the global nature of climate change. We’re excited to partner with PlanetPlay and use our technology to foster community engagement and support sustainability efforts.”

The results will be analyzed by academics contributing to the GREAT project on gaming and climate policy. Participating academic institutions include Leibniz Institute for Research and Information in Education (DIPF), Zentrum für Soziale Innovation (ZSI), Bolton University, Oxford University, and Universidad Internacional de La Rioja (UNIR), providing expertise in research, social science, and data science.  This research project aims to provide a robust methodology and scientific foundation for games to act as a vehicle for influencing global policy.

Play2Act is breaking new ground in climate advocacy. Loucas added, “Together, we are pioneering a movement to make gaming a force for good. Let’s unite to reach one billion gamers and amplify our collective voice for a better future.”

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Right now, the engagement rates are above 50%. The goal is to reach more than 100 million people with the current poll.

“That’s amazing,” Ower said. “Players really want to speak up.”

The questions relate to things like how gamers feel about games taking action for climate change; if they want to take action for climate change and nature; and what more they would do. Altogether there are seven questions. Once the players finish the poll, they can return to the game.

Over time, Ower said the hope is to expand from mobile games to PC games and perhaps consoles, possibly through a QR code.

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MADAN GOWRI's Server – @madangowri X A2D | Storage Server for Madan Gowri🔥

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MADAN GOWRI's Server - @madangowri  X A2D | Storage Server for Madan Gowri🔥



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Relyance lands $32M to help companies comply with data regulations

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illustration of large bank of nlue filing cabinets with several drawers open

As the demand for AI surges, AI vendors are devoting greater bandwidth to data security issues. Not only are they being compelled to comply with emerging data privacy regulations (e.g. the EU Data Act), but they’re finding themselves under the microscope of clients skeptical about how their data is being used and processed.

The trouble is, where it concerns tightening data security practices around AI, many orgs aren’t in a position to execute well. According to a survey from BigID, a data control platform, half of organizations rank data security as their top barrier to implementing AI.

Hailing from the app engineering and legal sectors, Abhi Sharma and Leila Golchehreh were well-versed in the challenges at play here. Confident they could build something to address the data security conundrum, the pair launched Relyance AI, a platform that checks if a company’s data usage is aligned with governance policies.

“The concept of how we would build Relyance came to us one evening when we were catching up over pizza in San Francisco,” Sharma told TechCrunch. “Although we came from two very different backgrounds, together, we realized that more could be done to ensure visibility in an organization’s data processing.”

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Golchehreh is an attorney by trade, having previously served as senior counsel at Workday and autonomous car startup Cruise. Sharma, a software dev, was a platform engineer at AppDynamics before helping to found FogHorn, an edge AI platform that Johnson Controls acquired in 2022.

Sharma says that most companies face three main hurdles to AI adoption: a lack of visibility to data in AI, the complexity of how data is handled, and the rapid pace of innovation. All these contribute to reputational risk, Sharma says — and open companies to legal threats.

Relyance’s solution is an engine that scans an org’s data sources — such as third-party apps, cloud environments, AI models, and code repositories — and checks to see if they’re in agreement with policies. Relyance creates a “data inventory” and ‘data map,” which it syncs with customer agreements, global privacy regulations, and compliance frameworks.

“Relyance enables organizations to monitor external vendor risks,” Sharma said, “while its data lineage feature tracks data flows across applications to identify potential risks proactively.”

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Relyance
An example of a Relyance-generated data map. Image Credits:Relyance

Now, Relyance isn’t executing on a totally novel concept. Sharma admits that OneTrust, Transcend, Datagrail, and Securiti AI are among the vendors that compete with it in some way. For example, Datagrail offers automated risk monitoring tools that help companies build third-party app risk assessments quickly.

But Relyance appears to be holding its own. Sharma claims that the business is on track to double annual recurring revenue this year, and that Relyance’s customer base — which includes Coinbase, Snowflake, MyFitnessPal, and Plaid — grew 30% in H1.

Setting the stage for further growth, Relyance this month closed a $32 million Series B round led by Thomvest with participation from M12 (Microsoft’s venture fund), Cheyenne Ventures, Menlo Ventures, and Unusual Ventures. Bringing the startup’s total raised to $59 million, the new funds will be put toward growing Relyance’s team to 90 employees by the end of the year.

“We decided to raise funds because the demand for AI continues to grow and new privacy and AI regulations are being put into place globally,” Sharma said. “Our hiring efforts will primarily focus on expanding our engineering team and increasing our go-to-market capacity to support our product development and growth momentum.”

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MDC Assembly Guide 42U Server Cabinet – SRRCS62107

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MDC Assembly Guide 42U Server Cabinet – SRRCS62107. Short guide, easy assembly. Call for more info. .

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Agents are the future AI companies promise — and desperately need

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Agents are the future AI companies promise — and desperately need

Humans have automated tasks for centuries. Now, AI companies see a path to profit in harnessing our love of efficiency, and they’ve got a name for their solution: agents. 

AI agents are autonomous programs that perform tasks, make decisions, and interact with environments with little human input, and they’re the focus of every major company working on AI today. Microsoft has “Copilots” designed to help businesses automate things like customer service and administrative tasks. Google Cloud CEO Thomas Kurian recently outlined a pitch for six different AI productivity agents, and Google DeepMind just poached OpenAI’s co-lead on its AI video product, Sora, to work on developing a simulation for training AI agents. Anthropic released a feature for its AI chatbot, Claude, that will let anyone create their own “AI assistant.” OpenAI includes agents as level 2 in its 5-level approach to reach AGI, or human-level artificial intelligence.

Obviously, computing is full of autonomous systems. Many people have visited a website with a pop-up customer service bot, used an automated voice assistant feature like Alexa Skills, or written a humble IFTTT script. But AI companies argue “agents” — you’d better not call them bots — are different. Instead of following a simple, rote set of instructions, they believe agents will be able to interact with environments, learn from feedback, and make decisions without constant human input. They could dynamically manage tasks like making purchases, booking travel, or scheduling meetings, adapting to unforeseen circumstances and interacting with systems that could include humans and other AI tools.

Artificial intelligence companies hope that agents will provide a way to monetize powerful, expensive AI models. Venture capital is pouring into AI agent startups that promise to revolutionize how we interact with technology. Businesses envision a leap in efficiency, with agents handling everything from customer service to data analysis. For individuals, AI companies are pitching a new era of productivity where routine tasks are automated, freeing up time for creative and strategic work. The endgame for true believers is to create AI that is a true partner, not just a tool.

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“What you really want,” OpenAI CEO Sam Altman told MIT Technology Review earlier this year, “is just this thing that is off helping you.” Altman described the killer app for AI as a “super-competent colleague that knows absolutely everything about my whole life, every email, every conversation I’ve ever had, but doesn’t feel like an extension.” It can tackle simple tasks instantly, Altman added, and for more complex ones, it will attempt them but return with questions if needed. Tech companies have been trying to automate the personal assistant since at least the 1970s, and now, they promise they’re finally getting close.

At an OpenAI press event ahead of the company’s annual Dev Day, head of developer experience Romain Huet demonstrated the company’s new Realtime API with an assistant agent. Huet gave the agent a budget and some constraints for buying 400 chocolate-covered strawberries and asked it to place an order via a phone call to a fictitious shop.

The service is similar to a Google reservation-making bot called Duplex from 2018. But that bot could only handle the simplest scenarios — it turned out a quarter of its calls were actually made by humans.

While that order was placed in English, Huet told me he gave a more complex demo in Tokyo: he prompted an agent to book a hotel room for him in Japanese where it would handle the conversation in Japanese and then call him back in English to confirm it’s done. “Of course, I wouldn’t understand the Japanese part — it just handles it,” Huet said.

But Huet’s demo immediately sparked concerns in the room full of journalists. Couldn’t the AI assistant be used for spam calls? Why didn’t it identify itself as an AI system? (Huet updated the demo for the official Dev Day, an attendee says, making the agent identify itself as “Romain’s AI Assistant.”) The unease was palpable, and it wasn’t surprising — even without agents, AI tools are already being used for deception.

There was another, arguably more immediate problem: the demo didn’t work. The agent lacked enough information and incorrectly recorded dessert flavors, causing it to auto-populate flavors like vanilla and strawberry in a column, rather than saying it didn’t have that information. Agents frequently run into issues with multi-step workflows or unexpected scenarios. And they burn more energy than a conventional bot or voice assistant. Their need for significant computational power, especially when reasoning or interacting with multiple systems, makes them costly to run at scale.

AI agents offer a leap in potential, but for everyday tasks, they aren’t yet significantly better than bots, assistants, or scripts. OpenAI and other labs aim to enhance their reasoning through reinforcement learning, all while hoping Moore’s Law continues to deliver cheaper, more powerful computing.

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So, if AI agents aren’t yet very useful, why is the idea so popular? In short: market pressures. These companies are sitting on powerful but expensive technology and are desperate to find practical use cases that they can also charge users for. The gap between promise and reality also creates a compelling hype cycle that fuels funding, and it just so happens that OpenAI raised $6.6 billion right as it started hyping agents.

AI agent startups have secured $8.2 billion in investor funding over the last 12 months

Big tech companies have been rushing to integrate all kinds of “AI” into their products, but they hope AI assistants in particular could be the key to unlocking revenue. Huet’s AI calling demo outpaces what models can currently do at scale, but he told me he expects features like it to appear more commonly as soon as next year, as OpenAI refines its “reasoning” o1 model.

For now, the concept seems to be mostly siloed in enterprise software stacks, not products for consumers. Salesforce, which provides customer relationship management (CRM) software, spun up an “agent” feature to great fanfare a few weeks ahead of its annual Dreamforce conference. The feature lets customers use natural language to essentially build a customer service chatbot in a few minutes through Slack, instead of spending a lot of time coding one. The chatbots have access to a company’s CRM data and can process natural language easier than a bot not based on large language models, potentially making them better at limited tasks like asking questions about orders and returns.

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AI agent startups (still an admittedly nebulous term) are already becoming quite a buzzy investment. They’ve secured $8.2 billion in investor funding over the last 12 months, spread over 156 deals, an increase of 81.4 percent year over year, according to PitchBook data. One of the better-known projects is Sierra, a customer service agent similar to Salesforce’s latest project and launched by former Salesforce co-CEO Bret Taylor. There’s also Harvey, which offers AI agents for lawyers, and TaxGPT, an AI agent to handle your taxes.

Despite all the enthusiasm for agents, these high-stakes uses raise a clear question: can they actually be trusted with something as serious as law or taxes? AI hallucinations, which have frequently tripped up users of ChatGPT, currently have no remedy in sight. More fundamentally, as IBM presciently stated in 1979, “a computer can never be held accountable” — and as a corollary, “a computer must never make a management decision.” Rather than autonomous decision-makers, AI assistants are best viewed as what they truly are: powerful but imperfect tools for low-stakes tasks. Is that worth the big bucks AI companies hope people will pay?

For now, market pressures prevail, and AI companies are racing to monetize. “I think 2025 is going to be the year that agentic systems finally hit the mainstream,” OpenAI’s new chief product officer, Kevin Weil, said at the press event. “And if we do it right, it takes us to a world where we actually get to spend more time on the human things that matter, and a little less time staring at our phones.”

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