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Instagram Releases New Reels Features

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Instagram Releases New Reels Features

Instagram rolled out new features in Reels today, providing users with more ways apply their creativity to short video clips.

These features are intended to help content creators engage with their audiences, attract viewers, and express themselves in new ways.

Currently, the social media platform’s video is its fastest-growing feature worldwide, with more than 675.3 million users.

This means more than one quarter of Instagram’s more than 2 billion users are using this functionality.

Additions Include New Audio Options, Interactivity, & Templates

In addition to refreshing its collection of sound effects, Instagram Reels now allows users to directly upload their own audio files.

Suitable for commentary, jingles, or background noise, creators can import sound from any video in their camera roll that is at least five seconds long. These recordings will then be available for use in Reels by other accounts.

Another update is the new length restrictions. Previously, all videos were limited to 15 seconds, but Instagram has now extended that by 600%, allowing users to post up to 90-second clips. Reels ads now have a maximum running length of 60 seconds.

Interactive stickers that were previously only available for Instagram Stories are now also available for use in videos. This provides new opportunities for audience engagement via polls, quizzes and emoji sliders.

Instagram now also allows creators to use another video as a template when creating their own Reels. By pre-loading audio and clip placeholders from source videos, users will only need to add and trim their own unique clips.

Reels Provides Value To Marketers, Advertisers, & Branders

As the amount of views online videos generate has nearly doubled since 2018, it has become an important tools in many marketers’ arsenals. This is especially true of Reels which has been proven to help attract viewers.

According to Instagram, public accounts with more than 10,000 followers who posted at least five reels over a 60-day period gained 250% more followers than those in the same category who did not post reels.

Instagram video posts currently generate an engagement rate of 1.5%, which indicates people are doing more than scrolling through. Additionally, 86% of consumers say they are more likely to purchase a product with Instagram content rated as “shareworthy.”


Source: Instagram

Featured Image: Screenshot from creators.instagram.com/blog/, June 2022. 

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5 Questions Answered About The OpenAI Search Engine

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5 Questions Answered About The OpenAI Search Engine

It was reported that OpenAI is working on a search engine that would directly challenge Google. But details missing from the report raise questions about whether OpenAI is creating a standalone search engine or if there’s another reason for the announcement.

OpenAI Web Search Report

The report published on The Information relates that OpenAI is developing a Web Search product that will directly compete with Google. A key detail of the report is that it will be partly powered by Bing, Microsoft’s search engine. Apart from that there are no other details, including whether it will be a standalone search engine or be integrated within ChatGPT.

All reports note that it will be a direct challenge to Google so let’s start there.

1. Is OpenAI Mounting A Challenge To Google?

OpenAI is said to be using Bing search as part of the rumored search engine, a combination of a GPT-4 with Bing Search, plus something in the middle to coordinate between the two .

In that scenario, what OpenAI is not doing is developing its own search indexing technology, it’s using Bing.

What’s left then for OpenAI to do in order to create a search engine is to devise how the search interface interacts with GPT-4 and Bing.

And that’s a problem that Bing has already solved by using what it Microsoft calls an orchestration layer. Bing Chat uses retrieval-augmented generation (RAG) to improve answers by adding web search data to use as context for the answers that GPT-4 creates. For more information on how orchestration and RAG works watch the keynote at Microsoft Build 2023 event by Kevin Scott, Chief Technology Officer at Microsoft, at the 31:45 minute mark here).

If OpenAI is creating a challenge to Google Search, what exactly is left for OpenAI to do that Microsoft isn’t already doing with Bing Chat? Bing is an experienced and mature search technology, an expertise that OpenAI does not have.

Is OpenAI challenging Google? A more plausible answer is that Bing is challenging Google through OpenAI as a proxy.

2. Does OpenAI Have The Momentum To Challenge Google?

ChatGPT is the fastest growing app of all time, currently with about 180 million users, achieving in two months what took years for Facebook and Twitter.

Yet despite that head start Google’s lead is a steep hill for OpenAI to climb.  Consider that Google has approximately 3 to 4 billion users worldwide, absolutely dwarfing OpenAI’s 180 million.

Assuming that all 180 million OpenAI users performed an average of 4 searches per day, the daily number of searches could reach 720 million searches per day.

Statista estimates that there are 6.3 million searches on Google per minute which equals over 9 billion searches per day.

If OpenAI is to compete they’re going to have to offer a useful product with a compelling reason to use it. For example, Google and Apple have a captive audience on mobile device ecosystem that embeds them into the daily lives of their users, both at work and at home. It’s fairly apparent that it’s not enough to create a search engine to compete.

Realistically, how can OpenAI achieve that level of ubiquity and usefulness?

OpenAI is facing an uphill battle against not just Google but Microsoft and Apple, too. If we count Internet of Things apps and appliances then add Amazon to that list of competitors that already have a presence in billions of users daily lives.

OpenAI does not have the momentum to launch a search engine to compete against Google because it doesn’t have the ecosystem to support integration into users lives.

3. OpenAI Lacks Information Retrieval Expertise

Search is formally referred to as Information Retrieval (IR) in research papers and patents. No amount of searching in the Arxiv.org repository of research papers will surface papers authored by OpenAI researchers related to information retrieval. The same can be said for searching for information retrieval (IR) related patents. OpenAI’s list of research papers also lacks IR related studies.

It’s not that OpenAI is being secretive. OpenAI has a long history of publishing research papers about the technologies they’re developing. The research into IR does not exist. So if OpenAI is indeed planning on launching a challenge to Google, where is the smoke from that fire?

It’s a fair guess that search is not something OpenAI is developing right now. There are no signs that it is even flirting with building a search engine, there’s nothing there.

4. Is The OpenAI Search Engine A Microsoft Project?

There is substantial evidence that Microsoft is furiously researching how to use LLMs as a part of a search engine.

All of the following research papers are classified as belonging to the fields of Information Retrieval (aka search), Artificial Intelligence, and Natural Language Computing.

Here are few research papers just from 2024:

Enhancing human annotation: Leveraging large language models and efficient batch processing
This is about using AI for classifying search queries.

Structured Entity Extraction Using Large Language Models
This research paper discovers a way to extracting structured information from unstructured text (like webpages). It’s like turning a webpage (unstructured data) into a machine understandable format (structured data).

Improving Text Embeddings with Large Language Models (PDF version here)
This research paper discusses a way to get high-quality text embeddings that can be used for information retrieval (IR). Text embeddings is a reference to creating a representation of text in a way that can be used by algorithms to understand the semantic meanings and relationships between the words.

The above research paper explains the use:

“Text embeddings are vector representations of natural language that encode its semantic information. They are widely used in various natural language processing (NLP) tasks, such as information retrieval (IR), question answering…etc. In the field of IR, the first-stage retrieval often relies on text embeddings to efficiently recall a small set of candidate documents from a large-scale corpus using approximate nearest neighbor search techniques.”

There’s more research by Microsoft that relates to search, but these are the ones that are specifically related to search together with large language models (like GPT-4.5).

Following the trail of breadcrumbs leads directly to Microsoft as the technology powering any search engine that OpenAI is supposed to be planning… if that rumor is true.

5. Is Rumor Meant To Steal Spotlight From Gemini?

The rumor that OpenAI is launching a competing search engine was published on February 14th. The next day on February 15th Google announced the launch of Gemini 1.5, after announcing Gemini Advanced on February 8th.

Is it a coincidence that OpenAI’s announcement completely overshadowed the Gemini announcement the next day? The timing is incredible.

At this point the OpenAI search engine is just a rumor.

Featured Image by Shutterstock/rafapress

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Warning: Unpopular SEO writing opinion

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Warning: Unpopular SEO writing opinion

Unpopular opinion alert: Adding new blog posts may not help your site.

(No matter what that content marketing company told you.) 🙄

So many of my new clients — especially subject matter experts — don’t need new content (immediately).

They HAVE content — scads of it scattered across various platforms.

(Maybe that sounds familiar.)

What they DO need is someone to review their content and customer persona, pinpoint opportunities, and develop a baby-step approach to leveraging those older content assets.

Because there are always opportunities. 🔥

Before writing another word, ask…

  • Are you repurposing the content you have? Or are you writing it once and forgetting about it (which is so common)?
  • Is your customer/reader persona still accurate, or has your target audience changed post-COVID?
  • Do your sales pages showcase your benefits and speak to your customers’ pain points? Or are they flat and dull?
  • Does your content sound like YOU with a point of view? Or is there a massive disconnect between how you talk to clients and the words you use on your site?
  • When did you last take a peek at your old sales emails and email welcome sequences? Could updating those assets make you more money?
  • Isn’t it time to save time (and budget) and leverage your existing content?

If you need help untangling your content and messaging, let me know. I love creating content order out of chaos.

After all…

 

Warning Unpopular SEO writing opinion

 

What do you think? Leave your comment below.

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Google Bans Impersonation In Ads

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Google Bans Impersonation In Ads

Google bans impersonation and false affiliation in ads, enforcing policy changes in March.

  • Google bans impersonation and false affiliation in ads.
  • Policy enforcement starts in March.
  • Violators will be banned from Google Ads.

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