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X adds a video editor to encourage creators to post original content, not stolen reposts

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X, the social network that can’t seem to win its perennial battle with bots, is introducing new video editing and recording features in hopes of encouraging creators to publish original content on its platform instead of recycling others’ material.

The update will bring new features, including the ability to overlay video captions in multiple languages and customize their look, as well as green-screen tools that work with photos from your phone’s camera roll or other X posts.

“One of our biggest priorities is to give creators the tools to create original content [and] reward those creators,” X’s head of product, Nikitia Bier, wrote in a post. “We have plenty more updates coming to the video editor in the coming weeks.”

The idea, Bier says, is to provide a “functional” video editor so some videos on X can “finally be original content that doesn’t exist on other platforms.” He noted that many posts from top accounts on X contain stolen material, sometimes five years after the content originally went viral.

Recycled content has always been a popular shortcut to virality on social platforms, especially because real money is involved. A video editor alone won’t solve that.

To encourage a thriving creator ecosystem, X must ensure that creators can reach a broad and scalable audience of real people to effectively monetize their work. To post exclusively on X, creators would need more incentives, given that its competitors like TikTok, Meta and YouTube have established fleshed out ecosystems with consistent, reliable payouts.

X may need to revamp its creator relations, too: Bier recently criticized one of YouTube’s biggest creators, Mr. Beast, for the nature of his video content.

X also lacks built-in tools that creators can use to report their work if it’s stolen and take action, similar to the protections Meta offers Reels creators. Meta, for instance, allows the original creator owner to either block their stolen content’s visibility or to add attribution links to monetize it. YouTube has also long offered tools for finding and removing unauthorized re-uploads.

Most importantly, X must deal with its overwhelming populations of bots, as they can inflate views in addition to scraping and stealing content. In April, Bier said that X was identifying and suspending “208 bots per minute and growing,” to give a sense of the problem’s scale. Before that, he said that half the product team was focused on developing features to mitigate spam.

Bier offered other reasons for the upgrade, beyond the fact that recycled content has a “negative impact on the user experience and the business.” He said posts on X that contain videos already make up close to half of the impressions on the social network, so this is more than just a case of X trying to be TikTok.

To be fair, X is far from the only social network plagued by growing amounts of spam in the AI era. Reddit, for instance, just said it is implementing AI tools to address the increasing amount of spam and bot content made possible by the rise of large language models (LLMs).

Digg, a would-be Reddit competitor, shut down its app earlier this year, saying it didn’t have the means to fight the overwhelming amount of spam as a new startup.

Bier said its video editor and recorder are initially available in its iOS app, as the Android app is still being rebuilt.

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Microsoft joins AI cost-cutting trend by relying more on its own models

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As AI costs continue to rise, companies are looking for ways to cut back. The most recent example is Microsoft, which has reportedly begun to deploy a cost-savings strategy by relying less on software from OpenAI and Anthropic and instead deploying its own in-house models.

Indeed, when it comes to two of its most widely used programs — Excel and Word — Microsoft has begun to use its homemade MAI models to respond to a certain percentage of user prompts, Bloomberg reported Tuesday. In the past, the company had advertised the fact that large parts of Office 365 are powered by models from both OpenAI and Anthropic.

While Microsoft still relies on those third-party models, it has also increasingly sought to stand up its own AI agents. Last month, at its annual Build conference, the company announced the launch of seven new MAI models, including an agentic coder and a text-to-image generator.

When reached for comment by TechCrunch, Microsoft said that it had nothing further to share.

Microsoft’s apparent cutbacks are part of a broader trend. After a brief blitz of “tokenmaxxing” earlier this year, the last few months have seen a news cycle awash in stories about tech companies acting significantly more thrifty. Other large companies — like Amazon, Uber, Meta, and Accenture — have also reportedly made moves to curb spending.

The immense cost of providing and buying AI services has become a controversial part of the industry. The sticker shock has gotten so bad in some parts of Silicon Valley that some companies are reportedly looking to Chinese models for more affordable agentic solutions — despite some concerns over potential security issues.

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AI Data Centers Face a Networking Bottleneck as GPU Clusters Grow

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AI data centers are running into a network bottleneck as GPU clusters expand. For infrastructure teams, fabric design, congestion control, and interoperability now matter as much as power, cooling, and accelerator supply.

The post AI Data Centers Face a Networking Bottleneck as GPU Clusters Grow appeared first on TechRepublic.

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The Neuron Launches AI Training Platform for Everyday Professionals

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The Neuron Academy launched on July 7 with self-paced AI courses for professionals who want to use ChatGPT, Claude, and Gemini more confidently.

The post The Neuron Launches AI Training Platform for Everyday Professionals appeared first on TechRepublic.

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