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Google rolls out AR effect tools for YouTube Stories

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MUMBAI: With the overwhelming popularity of Stories feature on social media platforms, the companies are leaving no stones unturned to make it more attractive. Now, Google is rolling out support for its advanced Augmented Reality (AR) effect tools for YouTube Stories while its rival Facebook and Instagram already support AR filters for Stories on their platforms.

The new feature will allow users to add animated masks, glasses, 3D hats and more such objects to their selfies. "To make all this possible, we employ machine learning (ML) to infer approximate 3D surface geometry to enable visual effects and ML pipeline for Selfie AR," Google Artificial Intelligence research engineers Artsiom Ablavatski and Ivan Grishchenko wrote in a blog post on Saturday.

"That way we can grow our dataset to increasingly challenging cases, such as grimaces, oblique angle and occlusions. Dataset augmentation techniques also expanded the available ground truth data, developing model resilience to artefacts like camera imperfections or extreme lighting conditions," the post added.

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The company has also claimed that it will use improved "anchoring" process with the new AR effects to make them look more real and responsive. According to the post, it uses a unique set of technologies "that can track the highly dynamic surface geometry across every smile, frown or smirk."

However, YouTube Stories is not available to every user yet as the tech giant launched the feature last year but only to creators with more than 10k subscribers.

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iWorld

Meta plans 8,000 layoffs in new AI-led restructuring wave

First phase from May 20 may cut 10 per cent workforce amid AI pivot.

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MUMBAI: At Meta, the future may be artificial but the cuts are very real. The social media giant is reportedly preparing a fresh round of layoffs, with an initial wave expected to impact around 8,000 employees as it doubles down on its artificial intelligence ambitions. According to a Reuters report, the first phase of job cuts is slated to begin on May 20, targeting roughly 10 per cent of Meta’s global workforce. With nearly 79,000 employees on its rolls as of December 31, the move marks one of the company’s most significant workforce reductions in recent years.

And this may only be the beginning. Sources indicate that additional layoffs are being planned for the second half of the year, although the scale and timing remain fluid, likely to be shaped by how Meta’s AI capabilities evolve in the coming months. Earlier reports had suggested that total cuts in 2026 could reach 20 per cent or more of its workforce.

The restructuring comes as chief executive Mark Zuckerberg continues to steer the company towards an AI-first operating model, committing hundreds of billions of dollars to the transition. Internally, this shift is already visible: teams within Reality Labs have been reorganised, engineers have been moved into a newly formed Applied AI unit, and a Meta Small Business division has been created to align with broader structural changes.

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The trend is hardly isolated. Across the tech sector, companies are trimming headcount while investing aggressively in automation. Amazon, for instance, has reportedly cut around 30,000 corporate roles nearly 10 per cent of its white-collar workforce citing efficiency gains driven by AI. Data from Layoffs.fyi shows over 73,000 tech employees have already lost jobs this year, compared with 153,000 in all of 2024.

For Meta, the move echoes its earlier “year of efficiency” in 2022–23, when about 21,000 roles were eliminated amid slowing growth and market pressures. This time, however, the backdrop is different. The company is financially stronger, generating over $200 billion in revenue and $60 billion in profit last year, with shares up 3.68 per cent year-to-date though still below last summer’s peak.

That contrast underlines the shift underway. These layoffs are less about survival and more about reinvention. As Meta restructures itself around AI from autonomous coding agents to advanced machine learning systems, the question is no longer whether the company will change, but how many roles will be left unchanged when it does.

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