After 14 years, EA will retire its controversial Origin game distribution app for Windows, the company announced . Origin will stop working on April 17, 2025. Folks still using it will be directed to install the newer EA app, which launched in 2022.

The launch of Origin in 2011 was a flashpoint of controversy among gamers, as EA—already not a beloved company by this point—began pulling titles like Crysis 2 from the popular Steam platform to drive players to its own launcher.

Frankly, it all made sense from EA's point of view. For a publisher that size, Valve had relatively little to offer in terms of services or tools, yet it was taking a big chunk of games' revenue. Why wouldn't EA want to get that money back?

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After 14 years, EA will retire its controversial Origin game distribution app for Windows, the company announced . Origin will stop working on April 17, 2025. Folks still using it will be directed to install the newer EA app, which launched in 2022.

The launch of Origin in 2011 was a flashpoint of controversy among gamers, as EA—already not a beloved company by this point—began pulling titles like Crysis 2 from the popular Steam platform to drive players to its own launcher.

Frankly, it all made sense from EA's point of view. For a publisher that size, Valve had relatively little to offer in terms of services or tools, yet it was taking a big chunk of games' revenue. Why wouldn't EA want to get that money back?

Read full article

Comments

After 14 years, EA will retire its controversial Origin game distribution app for Windows, the company announced . Origin will stop working on April 17, 2025. Folks still using it will be directed to install the newer EA app, which launched in 2022.

The launch of Origin in 2011 was a flashpoint of controversy among gamers, as EA—already not a beloved company by this point—began pulling titles like Crysis 2 from the popular Steam platform to drive players to its own launcher.

Frankly, it all made sense from EA's point of view. For a publisher that size, Valve had relatively little to offer in terms of services or tools, yet it was taking a big chunk of games' revenue. Why wouldn't EA want to get that money back?

Read full article

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Apple has sent out release candidate builds of the upcoming iOS 18.3, iPadOS 18.3, and macOS 15.3 updates to developers today. But they come with one tweak that hasn't been reported on, per MacRumors : They enable all of the AI-powered Apple Intelligence features by default during setup. When Apple Intelligence was initially released in iOS 18.1, the features were off by default, unless users chose to opt-in and enable them.

Those who still wish to opt out of Apple Intelligence features will now have to do it after their devices are set up by navigating to the Apple Intelligence & Siri section in the Settings app.

Apple Intelligence will only be enabled by default for hardware that supports it. For the iPhone, that's just the iPhone 15 Pro series, iPhone 16 series, and iPhone 16 Pro series. It goes further back on the iPad and Mac—Apple Intelligence works on any model with an M1 processor or newer.

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Apple has sent out release candidate builds of the upcoming iOS 18.3, iPadOS 18.3, and macOS 15.3 updates to developers today. But they come with one tweak that hasn't been reported on, per MacRumors : They enable all of the AI-powered Apple Intelligence features by default during setup. When Apple Intelligence was initially released in iOS 18.1, the features were off by default, unless users chose to opt-in and enable them.

Those who still wish to opt out of Apple Intelligence features will now have to do it after their devices are set up by navigating to the Apple Intelligence & Siri section in the Settings app.

Apple Intelligence will only be enabled by default for hardware that supports it. For the iPhone, that's just the iPhone 15 Pro series, iPhone 16 series, and iPhone 16 Pro series. It goes further back on the iPad and Mac—Apple Intelligence works on any model with an M1 processor or newer.

Read full article

Comments

Apple has sent out release candidate builds of the upcoming iOS 18.3, iPadOS 18.3, and macOS 15.3 updates to developers today. But they come with one tweak that hasn't been reported on, per MacRumors : They enable all of the AI-powered Apple Intelligence features by default during setup. When Apple Intelligence was initially released in iOS 18.1, the features were off by default, unless users chose to opt-in and enable them.

Those who still wish to opt out of Apple Intelligence features will now have to do it after their devices are set up by navigating to the Apple Intelligence & Siri section in the Settings app.

Apple Intelligence will only be enabled by default for hardware that supports it. For the iPhone, that's just the iPhone 15 Pro series, iPhone 16 series, and iPhone 16 Pro series. It goes further back on the iPad and Mac—Apple Intelligence works on any model with an M1 processor or newer.

Read full article

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On Monday, Chinese AI lab DeepSeek released its new R1 model family under an open MIT license , with its largest version containing 671 billion parameters. The company claims the model performs at levels comparable to OpenAI's o1 simulated reasoning (SR) model on several math and coding benchmarks.

Alongside the release of the main DeepSeek-R1-Zero and DeepSeek-R1 models, DeepSeek published six smaller "DeepSeek-R1-Distill" versions ranging from 1.5 billion to 70 billion parameters. These distilled models are based on existing open source architectures like Qwen and Llama, trained using data generated from the full R1 model. The smallest version can run on a laptop, while the full model requires far more substantial computing resources.

The releases immediately caught the attention of the AI community because most existing open-weights models—which can often be run and fine-tuned on local hardware—have lagged behind proprietary models like OpenAI's o1 in so-called reasoning benchmarks. Having these capabilities available in an MIT-licensed model that anyone can study, modify, or use commercially potentially marks a shift in what's possible with publicly available AI models.

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On Monday, Chinese AI lab DeepSeek released its new R1 model family under an open MIT license , with its largest version containing 671 billion parameters. The company claims the model performs at levels comparable to OpenAI's o1 simulated reasoning (SR) model on several math and coding benchmarks.

Alongside the release of the main DeepSeek-R1-Zero and DeepSeek-R1 models, DeepSeek published six smaller "DeepSeek-R1-Distill" versions ranging from 1.5 billion to 70 billion parameters. These distilled models are based on existing open source architectures like Qwen and Llama, trained using data generated from the full R1 model. The smallest version can run on a laptop, while the full model requires far more substantial computing resources.

The releases immediately caught the attention of the AI community because most existing open-weights models—which can often be run and fine-tuned on local hardware—have lagged behind proprietary models like OpenAI's o1 in so-called reasoning benchmarks. Having these capabilities available in an MIT-licensed model that anyone can study, modify, or use commercially potentially marks a shift in what's possible with publicly available AI models.

Read full article

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On Monday, Chinese AI lab DeepSeek released its new R1 model family under an open MIT license , with its largest version containing 671 billion parameters. The company claims the model performs at levels comparable to OpenAI's o1 simulated reasoning (SR) model on several math and coding benchmarks.

Alongside the release of the main DeepSeek-R1-Zero and DeepSeek-R1 models, DeepSeek published six smaller "DeepSeek-R1-Distill" versions ranging from 1.5 billion to 70 billion parameters. These distilled models are based on existing open source architectures like Qwen and Llama, trained using data generated from the full R1 model. The smallest version can run on a laptop, while the full model requires far more substantial computing resources.

The releases immediately caught the attention of the AI community because most existing open-weights models—which can often be run and fine-tuned on local hardware—have lagged behind proprietary models like OpenAI's o1 in so-called reasoning benchmarks. Having these capabilities available in an MIT-licensed model that anyone can study, modify, or use commercially potentially marks a shift in what's possible with publicly available AI models.

Read full article

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