Go Here to Read this Fast! Samsung brings a Squid Game season 2 surprise to the Galaxy Store
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Samsung brings a Squid Game season 2 surprise to the Galaxy Store
Go Here to Read this Fast! Samsung brings a Squid Game season 2 surprise to the Galaxy Store
Originally appeared here:
Samsung brings a Squid Game season 2 surprise to the Galaxy Store
Go Here to Read this Fast! Wish you had Apple AirDrop on an Android phone? It might actually happen
Originally appeared here:
Wish you had Apple AirDrop on an Android phone? It might actually happen
Go Here to Read this Fast! The 8 best movie performances of 2024
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The 8 best movie performances of 2024
Sony has acquired a major stake in FromSoftware’s parent company Kadokawa. This follows reports that Sony was in talks to purchase the company outright. It looks like that isn’t happening, but Sony has boosted its total ownership of Kadokawa up to ten percent after spending around $300 million on more shares. This makes Sony the largest shareholder of the Japanese publisher.
Sony likely made this move to get its hands on some of Kadokawa’s IP, which includes the entire roster of FromSoftware games and franchises created by Spike Chunsoft and Gotcha Gotcha Games. Kadokawa also publishes a boatload of anime and manga. A press release noted that the two companies will now “discuss specific initiatives for collaboration,” which will include “live-action films and TV drama.”
Does this mean that we’ll soon get an Elden Ring or Dark Souls movie? These are some of Kadokawa’s most prominent franchises, so it’s certainly possible. The companies have also promised to promote the “global expansion of a wide range of entertainment, including anime and games.”
As for console exclusivity, don’t hold your breath. Sony already owns a 14 percent stake in FromSoftware and games like Elden Ring and Sekiro: Shadows Die Twice are available on PlayStation consoles, Xbox consoles and for PCs. To that end, there’s some co-op DLC coming to Elden Ring sometime next year.
This article originally appeared on Engadget at https://www.engadget.com/gaming/sony-is-now-the-largest-shareholder-of-fromsoftwares-parent-company-165934956.html?src=rss
Go Here to Read this Fast! Sony is now the largest shareholder of FromSoftware’s parent company
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Sony is now the largest shareholder of FromSoftware’s parent company
There’s no arguing that AI still has quite a few unreliable moments, but one would hope that at least its evaluations would be accurate. However, last week Google allegedly instructed contract workers evaluating Gemini not to skip any prompts, regardless of their expertise, TechCrunch reports based on internal guidance it viewed. Google shared a preview of Gemini 2.0 earlier this month.
Google reportedly instructed GlobalLogic, an outsourcing firm whose contractors evaluate AI-generated output, not to have reviewers skip prompts outside of their expertise. Previously, contractors could choose to skip any prompt that fell far out of their expertise — such as asking a doctor about laws. The guidelines had stated, “If you do not have critical expertise (e.g. coding, math) to rate this prompt, please skip this task.”
Now, contractors have allegedly been instructed, “You should not skip prompts that require specialized domain knowledge” and that they should “rate the parts of the prompt you understand” while adding a note that it’s not an area they have knowledge in. Apparently, the only times contracts can skip now are if a big chunk of the information is missing or if it has harmful content which requires specific consent forms for evaluation.
One contractor aptly responded to the changes stating, “I thought the point of skipping was to increase accuracy by giving it to someone better?”
Shortly after this article was first published, Google provided Engadget with the following statement: “Raters perform a wide range of tasks across many different Google products and platforms. They provide valuable feedback on more than just the content of the answers, but also on the style, format, and other factors. The ratings they provide do not directly impact our algorithms, but when taken in aggregate, are a helpful data point to help us measure how well our systems are working.”
A Google spokesperson also noted that the new language shouldn’t necessarily lead to changes to Gemini’s accuracy, because they’re asking raters to specifically rate the parts of the prompts that they understand. This could be providing feedback for things like formatting issues even if the rater doesn’t have specific expertise in the subject. The company also pointed to this weeks’ release of the FACTS Grounding benchmark that can check LLM responses to make sure “that are not only factually accurate with respect to given inputs, but also sufficiently detailed to provide satisfactory answers to user queries.”
Update, December 19 2024, 11:23AM ET: This story has been updated with a statement from Google and more details about how its ratings system works.
This article originally appeared on Engadget at https://www.engadget.com/ai/google-accused-of-using-novices-to-fact-check-geminis-ai-answers-143044552.html?src=rss
Apple has issued a complaint about Meta regarding the DMA’s mandated interoperability requests, as reported by Reuters. The iPhone maker says that Meta has issued 15 of these requests, which it says could impact the privacy and security of users. Meta disagrees.
First, a quick primer. The EU’s Digital Markets Act (DMA) requires that Apple allow rivals and third-party app developers to inter-operate with its own services or risk a steep fine, as much as ten percent of global turnover. Under the terms of the DMA, Apple must allow other companies to submit interoperability requests for hardware and software that affect iOS and iPadOS devices.
Apple must assess these requests and, if approved, have to design a solution to allow for effective interoperability. Meta has issued 15 of these requests, more than any other company, and Apple says that compliance would give the company extensive access to its technology stack. Apple also says that doing so could put the privacy and security of users at risk.
“If Apple were to have to grant all of these requests, Facebook, Instagram and WhatsApp could enable Meta to read on a user’s device all of their messages and emails, see every phone call they make or receive, track every app that they use, scan all of their photos, look at their files and calendar events, log all of their passwords and more,” Apple wrote in a statement to Reuters.
The company also referred to Meta’s recent privacy issues throughout Europe. Meta has been fined in various countries for data breaches and for tracking users across apps, among other concerns.
Meta, of course, has a different take on things. The social media and VR giant wrote that “what Apple is actually saying is they don’t believe in interoperability. Every time Apple is called out for its anticompetitive behavior, they defend themselves on privacy grounds that have no basis in reality.”
We sent preliminary findings to Apple under the Digital Markets Act.
Apple should open iOS features like notifications, AirPlay, and AirDrop to third-party devices, enhancing innovation and user choice.
It should also improve transparency and predictability for developers ↓
— European Commission (@EU_Commission) December 19, 2024
We don’t know if the EU will intervene on behalf of Apple or Meta in this case, but the European Commission recently published preliminary directions on how Apple should open up to rivals. These measures would require Apple to be transparent regarding the different phases, deadlines and criteria involving the completion of interoperability requests.
These proposed measures are open for debate until January 9. In March, a decision is expected as to whether or not Apple has complied with the DMA’s interoperability provision.
This article originally appeared on Engadget at https://www.engadget.com/big-tech/apple-and-meta-are-beefing-over-the-dmas-mandated-interoperability-requests-155851120.html?src=rss
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Apple and Meta are beefing over the DMA’s mandated interoperability requests
It’s been available for over two years, but Apple’s 10th-generation iPad is still the newest model available for the base iPads. Our choice for best budget iPad is a great option for some last-minute present shopping. That’s especially the case, right now, as the Apple 10th-gen iPad is down to $250 from $349.
The great markdown comes courtesy of a 20 percent discount and a $29 off coupon that you can apply on the product page. It’s available on the Wi-Fi model with 64GB and with a silver finish. The deal also doesn’t include AppleCare+, but, for this great a price, all the specificities might be worth it.
Apple’s 10th-gen iPad has a 10.9-inch Liquid Retina display with a 2360x1640p resolution. We gave it an 85 in our review thanks to features like its landscape 12MP Ultra Wide front camera and an updated design from its predecessor. It also offers up to 10 hours of battery and recharges using a USB-C port, so you don’t have to worry about a lightning charger.
Follow @EngadgetDeals on Twitter and subscribe to the Engadget Deals newsletter for the latest tech deals and buying advice.
This article originally appeared on Engadget at https://www.engadget.com/deals/the-10th-gen-ipad-is-back-on-sale-for-250-143153900.html?src=rss
Go Here to Read this Fast! The 10th-gen iPad is back on sale for $250
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The 10th-gen iPad is back on sale for $250
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12 Days of OpenAI – Live updates from Day 11 including ChatGPT, Sora, o1 and more
Go Here to Read this Fast! A new, uncensored AI video model may spark a new AI hobbyist movement
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A new, uncensored AI video model may spark a new AI hobbyist movement
Feeling inspired to write your first TDS post before the end of 2024? We’re always open to contributions from new authors.
And just like that, 2024 is (almost) in the books. It was a year of exciting transitions — both for the TDS team and, in many meaningful ways, for the data science, machine learning, and AI communities at large. We’d like to thank all of you—readers, authors, and followers—for your support, and for keeping us busy and engaged with your excellent contributions and comments.
Unlike in 2023, when a single event (ChatGPT’s launch just weeks before the beginning of the year) stopped everyone in their tracks and shaped conversations for months on end, this year we experienced a more cumulative and fragmented sense of transformation. Practitioners across industry and academia experimented with new tools and worked hard to find innovative ways to benefit from the rapid rise of LLMs; at the same time, they also had to navigate a challenging job market and a world where AI’s footprint inches ever closer to their own everyday workflows.
To help you make sense of these developments, we published more than 3,500 articles this past year, including hundreds from first-time contributors. Our authors have an incredible knack for injecting their unique perspective into any topic they cover—from big questions and timely topics to more focused technical challenges—and we’re proud of every post we published in 2024.
Within this massive creative output, some articles manage to resonate particularly well with our readers, and we’re dedicating our final Variable edition to these: our most-read, -discussed, and -shared posts of the year. As you might expect, they cover a lot of ground, so we’ve decided to arrange them following the major themes we’ve detected this year: learning and building from scratch, RAG and AI agents, career growth, and breakthroughs and innovation.
We hope you enjoy exploring our 2024 highlights, and we wish you a relaxing end of the year — see you in January!
The most reliably popular type of TDS post is the one that teaches readers how to do or study something interesting and productive on their own, and with minimal prerequisites. This year is no exception—our three most-read articles of 2024 fall under this category.
Once the initial excitement surrounding LLMs settled (a bit), data and ML professionals realized that these powerful models aren’t all that useful out of the box. Retrieval-augmented generation and agentic AI rose to prominence in the past year as the two leading approaches that bridge the gap between the models’ potential and real-world value; they also ended up being our most covered technical topics in recent months.
Data science and machine learning career paths continue to evolve, and the need to adapt to this changing terrain can generate nontrivial amounts of stress for many professionals, whether they’re deep into their career or are just starting out. We love publishing personal reflections on this topic when they also offer readers pragmatic advice—here are four that stood out to us (and to our readers).
Staying up-to-date with cutting-edge research and new tools can feel overwhelming at times, which is why we have a particular soft spot for top-notch paper walkthroughs and primers on emerging libraries and models. Here are three such articles that particularly resonated with our audience.
Thank you for supporting the work of our authors in 2024! If writing for TDS is one of your goals for 2025, why not get started now? Don’t hesitate to share your work with us.
Until the next Variable, coming your way in the first week of January,
TDS Team
2024 Highlights: The AI and Data Science Articles That Made a Splash was originally published in Towards Data Science on Medium, where people are continuing the conversation by highlighting and responding to this story.
Originally appeared here:
2024 Highlights: The AI and Data Science Articles That Made a Splash
Go Here to Read this Fast! 2024 Highlights: The AI and Data Science Articles That Made a Splash