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Instagram Expands TV Offering With Longer Videos And Live Content

Instagram is expanding its television offering with new content formats, including longer videos, episodic series, and live programming. The initiative builds on the launch of the platform’s TV app last year and reflects Meta’s broader efforts to extend Instagram beyond the mobile screen.

Expanding Content Horizons

Longer-form videos and serialized content are expected to play a bigger role in Instagram’s content strategy going forward.

The shift comes as Meta continues testing its “Series” feature for Reels, designed to make episodic content easier to follow across Instagram and Facebook. As these formats become more prominent, users may encounter a broader mix of content alongside the short-form videos that have traditionally defined the platform.

Seamless Integration With Smart TV Platforms

Efforts to expand viewing options are also being reflected in the app’s availability across connected TV devices. Already accessible on Amazon Fire TV and Google TV, the Instagram TV app is expected to launch on Samsung smart TVs as well. New features include personalised content channels, mobile-to-TV casting, support for horizontal videos, and Stories integration. Together, these additions are intended to make it easier for users to move between devices while accessing the same content.

Optimized Content Discovery And User Engagement

Content discovery remains a key focus of the updated TV experience. Users will be presented with curated channels based on their interests and preferred creators, making it easier to browse content across different categories. Sports, comedy, and creator-led programming are among the formats expected to receive greater visibility through the redesigned interface.

At the same time, familiar Instagram features have been adapted for larger screens, helping create a more consistent viewing experience.

Strategic Implications For Digital Media

The introduction of longer videos, episodic programming, and live content marks another step in Instagram’s efforts to broaden its content offering. As the platform develops its TV presence, social media and streaming formats are likely to become increasingly interconnected, giving creators additional ways to reach audiences beyond mobile devices.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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