Donald Trump has said he will impose tariffs of 25 percent on all imports from Canada and Mexico, and an extra 10 percent on Chinese goods, accusing the countries of permitting illegal migration and drug trafficking.

In a post on his social media site Truth Social, Trump said he would impose the tariffs on Canada and Mexico on his first day in office “on ALL products coming into the United States, and its ridiculous open borders,” which would remain in place “until such time as Drugs, in particular Fentanyl, and all Illegal Aliens stop this Invasion of our Country.”

Trump said the tariffs on China would apply to all imports and would come on top of existing levies, as he criticized Beijing for failing to follow through on promises to impose the death penalty for people dealing fentanyl, a deadly synthetic opioid.

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Donald Trump has said he will impose tariffs of 25 percent on all imports from Canada and Mexico, and an extra 10 percent on Chinese goods, accusing the countries of permitting illegal migration and drug trafficking.

In a post on his social media site Truth Social, Trump said he would impose the tariffs on Canada and Mexico on his first day in office “on ALL products coming into the United States, and its ridiculous open borders,” which would remain in place “until such time as Drugs, in particular Fentanyl, and all Illegal Aliens stop this Invasion of our Country.”

Trump said the tariffs on China would apply to all imports and would come on top of existing levies, as he criticized Beijing for failing to follow through on promises to impose the death penalty for people dealing fentanyl, a deadly synthetic opioid.

Read full article

Comments

Donald Trump has said he will impose tariffs of 25 percent on all imports from Canada and Mexico, and an extra 10 percent on Chinese goods, accusing the countries of permitting illegal migration and drug trafficking.

In a post on his social media site Truth Social, Trump said he would impose the tariffs on Canada and Mexico on his first day in office “on ALL products coming into the United States, and its ridiculous open borders,” which would remain in place “until such time as Drugs, in particular Fentanyl, and all Illegal Aliens stop this Invasion of our Country.”

Trump said the tariffs on China would apply to all imports and would come on top of existing levies, as he criticized Beijing for failing to follow through on promises to impose the death penalty for people dealing fentanyl, a deadly synthetic opioid.

Read full article

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When Apple introduced what it currently calls MagSafe in 2020, its marketing messaging suggested that the magnetic attachment standard for the iPhone would produce a boom in innovation in accessories, making things possible that simply weren't before.

Four years later, that hasn't really happened—either from third-party accessory makers or Apple's own lineup of branded MagSafe products.

Instead, we have a lineup of accessories that matches pretty much what was available at launch in 2020: chargers, cases, and just a couple more unusual applications.

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When Apple introduced what it currently calls MagSafe in 2020, its marketing messaging suggested that the magnetic attachment standard for the iPhone would produce a boom in innovation in accessories, making things possible that simply weren't before.

Four years later, that hasn't really happened—either from third-party accessory makers or Apple's own lineup of branded MagSafe products.

Instead, we have a lineup of accessories that matches pretty much what was available at launch in 2020: chargers, cases, and just a couple more unusual applications.

Read full article

Comments

When Apple introduced what it currently calls MagSafe in 2020, its marketing messaging suggested that the magnetic attachment standard for the iPhone would produce a boom in innovation in accessories, making things possible that simply weren't before.

Four years later, that hasn't really happened—either from third-party accessory makers or Apple's own lineup of branded MagSafe products.

Instead, we have a lineup of accessories that matches pretty much what was available at launch in 2020: chargers, cases, and just a couple more unusual applications.

Read full article

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At this point, anyone who has been following AI research is long familiar with generative models that can synthesize speech or melodic music from nothing but text prompting . Nvidia's newly revealed "Fugatto" model looks to go a step further, using new synthetic training methods and inference-level combination techniques to "transform any mix of music, voices, and sounds," including the synthesis of sounds that have never existed.

While Fugatto isn't available for public testing yet, a sample-filled website showcases how Fugatto can be used to dial a number of distinct audio traits and descriptions up or down, resulting in everything from the sound of saxophones barking to people speaking underwater to ambulance sirens singing in a kind of choir. While the results on display can be a bit hit or miss, the vast array of capabilities on display here helps support Nvidia's description of Fugatto as "a Swiss Army knife for sound."

You’re only as good as your data

In an explanatory research paper , over a dozen Nvidia researchers explain the difficulty in crafting a training dataset that can "reveal meaningful relationships between audio and language." While standard language models can often infer how to handle various instructions from the text-based data itself, it can be hard to generalize descriptions and traits from audio without more explicit guidance.

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At this point, anyone who has been following AI research is long familiar with generative models that can synthesize speech or melodic music from nothing but text prompting . Nvidia's newly revealed "Fugatto" model looks to go a step further, using new synthetic training methods and inference-level combination techniques to "transform any mix of music, voices, and sounds," including the synthesis of sounds that have never existed.

While Fugatto isn't available for public testing yet, a sample-filled website showcases how Fugatto can be used to dial a number of distinct audio traits and descriptions up or down, resulting in everything from the sound of saxophones barking to people speaking underwater to ambulance sirens singing in a kind of choir. While the results on display can be a bit hit or miss, the vast array of capabilities on display here helps support Nvidia's description of Fugatto as "a Swiss Army knife for sound."

You’re only as good as your data

In an explanatory research paper , over a dozen Nvidia researchers explain the difficulty in crafting a training dataset that can "reveal meaningful relationships between audio and language." While standard language models can often infer how to handle various instructions from the text-based data itself, it can be hard to generalize descriptions and traits from audio without more explicit guidance.

Read full article

Comments

At this point, anyone who has been following AI research is long familiar with generative models that can synthesize speech or melodic music from nothing but text prompting . Nvidia's newly revealed "Fugatto" model looks to go a step further, using new synthetic training methods and inference-level combination techniques to "transform any mix of music, voices, and sounds," including the synthesis of sounds that have never existed.

While Fugatto isn't available for public testing yet, a sample-filled website showcases how Fugatto can be used to dial a number of distinct audio traits and descriptions up or down, resulting in everything from the sound of saxophones barking to people speaking underwater to ambulance sirens singing in a kind of choir. While the results on display can be a bit hit or miss, the vast array of capabilities on display here helps support Nvidia's description of Fugatto as "a Swiss Army knife for sound."

You’re only as good as your data

In an explanatory research paper , over a dozen Nvidia researchers explain the difficulty in crafting a training dataset that can "reveal meaningful relationships between audio and language." While standard language models can often infer how to handle various instructions from the text-based data itself, it can be hard to generalize descriptions and traits from audio without more explicit guidance.

Read full article

Comments