NEWS

Twitter Super Follows has generated only around $6K+ in its first two weeks

Published

3 years ago

September 16, 2021

twitter super follows has generated only around 6k in its first two weeks

Twitter’s creator platform Super Follows is off to an inauspicious start, having contributed to somewhere around $6,000 in U.S. iOS revenue in the first two weeks the feature has been live, according to app intelligence data provided by Sensor Tower. And it’s made only around $600 or so in Canada. A small portion of that revenue may be attributed to Ticketed Spaces, Twitter’s other in-app purchase offered in the U.S. — but there’s no way for this portion to be calculated by an outside firm.

Twitter first announced its plans to launch Super Follows during its Analyst Day event in February, where the company detailed many of its upcoming initiatives to generate new revenue streams.

Today, Twitter’s business is highly dependent on advertising, and Super Follows is one of the few ways it’s aiming to diversify. The company is also now offering a way for creators to charge for access to their live events with Ticketed Spaces and, outside the U.S., Twitter has begun testing a premium product for power users, called Twitter Blue.

creator posting superfollows content.png.img .fullhd.medium

Image Credits: Twitter

But Super Follows, which targets creators, is the effort with the most potential appeal to mainstream users.

It’s also one that is working to capitalize on the growing creator economy, where content creators build a following, then generate revenue directly through subscriptions — decreasing their own dependence on ads or brand deals, as a result. The platforms they use for this business skim a little off the top to help them fund the development of the creator tools. (In Twitter’s case, it’s taking only a 3% cut.)

The feature would seem to make sense for Twitter, a platform that already allows high-profile figures and regular folks to hobnob in the same timeline and have conversations. Super Follows ups that access by letting fans get even closer to their favorite creators — whether those are musicians, artists, comedians, influencers, writers, gamers or other experts, for example. These creators can set a monthly subscription price of $2.99, $4.99 or $9.99 to provide fans with access to bonus, “behind-the-scenes” content of their choosing. These generally come in the form of extra tweets, Q&As and other interactions with subscribers.

creator view superfollows tweets.png.img .fullhd.medium

Image Credits: Twitter

At launch, Twitter opened up Super Follows to a handful of creators, including the beauty and skincare-focused account @MakeupforWOC; astrology account @TarotByBronx; sports-focused @KingJosiah54; writer @myeshachou; internet personality and podcaster @MichaelaOkla; spiritual healer @kemimarie; music charts tweeter @chartdata; Twitch streamers @FaZeMew, @VelvetIsCake, @MackWood1, @GabeJRuiz and @Saulsrevenge; YouTubers @DoubleH_YT, @LxckTV and @PowerGotNow; and crypto traders @itsALLrisky and @moon_shine15; among others. Twitter says there are fewer than 100 creators in total who have access to Super Follows.

While access on the creation side is limited, the ability to subscribe to creators is not. Any Twitter iOS user in the U.S. or Canada can “Super Follow” any number of the supported creator accounts. In the U.S., Twitter has 37 million monetizable daily active users as of Q2 2021. Of course, only some subset of those will be iOS users.

Still, Twitter could easily count millions upon millions of “potential” customers for its Super Follow platform at launch. Its current revenue indicates that, possibly, only thousands of consumers have done so, given many of the top in-app purchases are for creators offering content at lower price points.

Image Credits: Sensor Tower

Sensor Tower notes Twitter’s $6,000 in U.S. consumer spending on iOS was calculated during the first two weeks of September (September 1-14). Before this period, U.S. iOS users spent only $100 from August 25 through 31 — a figure that would indicate user spending on Ticketed Spaces during that time. In other words, the contribution of Tickets Spaces revenue to this total of $6,000 in iOS consumer spending is likely quite small.

In Canada, the other market where Super Follow is now available to subscribers, Twitter’s iOS in-app purchase revenue from September 1 through September 14, was a negligible $600. (This would also include Twitter Blue subscription revenue, which is being tested in Canada and Australia.)

Worldwide, Twitter users on iOS spent $9,000 during that same time, which would include other Ticketed Spaces revenues and tests of its premium service, Twitter Blue. (Twitter’s Tip Jar, a way to pay creators directly, does not work through in-app purchases).

Unlike other Twitter products that developed by watching what users were already doing anyway — like using hashtags or retweeting content — many of Twitter’s newer features are attempts at redefining the use cases for its platform. In a massive rush of product pushes, Twitter has recently launched tools not just for creators, but also for e-commerce, organizing reading materials, subscribing to newsletters, socializing in communities, chatting through audio, fact-checking content, keeping up with trends, conversing more privately and more.

Twitter’s position on the slower start to Super Follows is that it’s still too early to make any determinations. While that’s fair, it’s also worth tracking adoption to see if the new product had seen any rapid, out-of-the-gate traction.

“This is just the start for Super Follows,” a Twitter spokesperson said, reached for comment about Sensor Tower’s figures. “Our main goal is focused on ensuring creators are set up for success and so we’re working closely with a small group of creators in this first iteration to ensure they have the best experience using Super Follows before we roll out more widely.”

The spokesperson also noted Twitter Super Follows had been set up to help creators make more money as it scales.

“With Super Follows, people are eligible to earn up to 97% of revenue after in-app purchase fees until they make $50,000 in lifetime earnings. After $50,000 in lifetime earnings, they can earn up to 80% of revenue after in-app purchase fees,” they said.

Correction, 9/16/21: Twitter mDAU was 37 million in the last quarter, not 169 million— the latter was the international figure. This has been updated.

TechCrunch

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NEWS

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

Published

4 weeks ago

August 21, 2024

Max

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

OpenAI has today announced the release of fine-tuning capabilities for its flagship GPT-4 large language model, marking a significant milestone in the AI landscape. This new functionality empowers developers to create tailored versions of GPT-4 to suit specialized use cases, enhancing the model’s utility across various industries.

Fine-tuning has long been a desired feature for developers who require more control over AI behavior, and with this update, OpenAI delivers on that demand. The ability to fine-tune GPT-4 allows businesses and developers to refine the model’s responses to better align with specific requirements, whether for customer service, content generation, technical support, or other unique applications.

Why Fine-Tuning Matters

GPT-4 is a very flexible model that can handle many different tasks. However, some businesses and developers need more specialized AI that matches their specific language, style, and needs. Fine-tuning helps with this by letting them adjust GPT-4 using custom data. For example, companies can train a fine-tuned model to keep a consistent brand tone or focus on industry-specific language.

Fine-tuning also offers improvements in areas like response accuracy and context comprehension. For use cases where nuanced understanding or specialized knowledge is crucial, this can be a game-changer. Models can be taught to better grasp intricate details, improving their effectiveness in sectors such as legal analysis, medical advice, or technical writing.

Key Features of GPT-4 Fine-Tuning

The fine-tuning process leverages OpenAI’s established tools, but now it is optimized for GPT-4’s advanced architecture. Notable features include:

Enhanced Customization: Developers can precisely influence the model’s behavior and knowledge base.
Consistency in Output: Fine-tuned models can be made to maintain consistent formatting, tone, or responses, essential for professional applications.
Higher Efficiency: Compared to training models from scratch, fine-tuning GPT-4 allows organizations to deploy sophisticated AI with reduced time and computational cost.

Additionally, OpenAI has emphasized ease of use with this feature. The fine-tuning workflow is designed to be accessible even to teams with limited AI experience, reducing barriers to customization. For more advanced users, OpenAI provides granular control options to achieve highly specialized outputs.

Implications for the Future

The launch of fine-tuning capabilities for GPT-4 signals a broader shift toward more user-centric AI development. As businesses increasingly adopt AI, the demand for models that can cater to specific business needs, without compromising on performance, will continue to grow. OpenAI’s move positions GPT-4 as a flexible and adaptable tool that can be refined to deliver optimal value in any given scenario.

By offering fine-tuning, OpenAI not only enhances GPT-4’s appeal but also reinforces the model’s role as a leading AI solution across diverse sectors. From startups seeking to automate niche tasks to large enterprises looking to scale intelligent systems, GPT-4’s fine-tuning capability provides a powerful resource for driving innovation.

OpenAI announced that fine-tuning GPT-4o will cost $25 for every million tokens used during training. After the model is set up, it will cost $3.75 per million input tokens and $15 per million output tokens. To help developers get started, OpenAI is offering 1 million free training tokens per day for GPT-4o and 2 million free tokens per day for GPT-4o mini until September 23. This makes it easier for developers to try out the fine-tuning service.

As AI continues to evolve, OpenAI’s focus on customization and adaptability with GPT-4 represents a critical step in making advanced AI accessible, scalable, and more aligned with real-world applications. This new capability is expected to accelerate the adoption of AI across industries, creating a new wave of AI-driven solutions tailored to specific challenges and opportunities.

GOOGLE

This Week in Search News: Simple and Easy-to-Read Update

Published

3 months ago

June 30, 2024

Entireweb News Bot

This Week in Search News: Simple and Easy-to-Read Update

Here’s what happened in the world of Google and search engines this week:

1. Google’s June 2024 Spam Update

Google finished rolling out its June 2024 spam update over a period of seven days. This update aims to reduce spammy content in search results.

2. Changes to Google Search Interface

Google has removed the continuous scroll feature for search results. Instead, it’s back to the old system of pages.

3. New Features and Tests

Link Cards: Google is testing link cards at the top of AI-generated overviews.
Health Overviews: There are more AI-generated health overviews showing up in search results.
Local Panels: Google is testing AI overviews in local information panels.

4. Search Rankings and Quality

Improving Rankings: Google said it can improve its search ranking system but will only do so on a large scale.
Measuring Quality: Google’s Elizabeth Tucker shared how they measure search quality.

5. Advice for Content Creators

Brand Names in Reviews: Google advises not to avoid mentioning brand names in review content.
Fixing 404 Pages: Google explained when it’s important to fix 404 error pages.

6. New Search Features in Google Chrome

Google Chrome for mobile devices has added several new search features to enhance user experience.

7. New Tests and Features in Google Search

Credit Card Widget: Google is testing a new widget for credit card information in search results.
Sliding Search Results: When making a new search query, the results might slide to the right.

8. Bing’s New Feature

Bing is now using AI to write “People Also Ask” questions in search results.

9. Local Search Ranking Factors

Menu items and popular times might be factors that influence local search rankings on Google.

10. Google Ads Updates

Query Matching and Brand Controls: Google Ads updated its query matching and brand controls, and advertisers are happy with these changes.
Lead Credits: Google will automate lead credits for Local Service Ads. Google says this is a good change, but some advertisers are worried.
tROAS Insights Box: Google Ads is testing a new insights box for tROAS (Target Return on Ad Spend) in Performance Max and Standard Shopping campaigns.
WordPress Tag Code: There is a new conversion code for Google Ads on WordPress sites.

These updates highlight how Google and other search engines are continuously evolving to improve user experience and provide better advertising tools.

FACEBOOK

Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again

Published

6 months ago

March 20, 2024

Max

Uppdated: It seems that today’s issues with Facebook haven’t affected as many users as the last time. A smaller group of people appears to be impacted this time around, which is a relief compared to the larger incident before. Nevertheless, it’s still frustrating for those affected, and hopefully, the issues will be resolved soon by the Facebook team.

Facebook had another problem today (March 20, 2024). According to Downdetector, a website that shows when other websites are not working, many people had trouble using Facebook.

This isn’t the first time Facebook has had issues. Just a little while ago, there was another problem that stopped people from using the site. Today, when people tried to use Facebook, it didn’t work like it should. People couldn’t see their friends’ posts, and sometimes the website wouldn’t even load.

Downdetector, which watches out for problems on websites, showed that lots of people were having trouble with Facebook. People from all over the world said they couldn’t use the site, and they were not happy about it.

When websites like Facebook have problems, it affects a lot of people. It’s not just about not being able to see posts or chat with friends. It can also impact businesses that use Facebook to reach customers.

Since Facebook owns Messenger and Instagram, the problems with Facebook also meant that people had trouble using these apps. It made the situation even more frustrating for many users, who rely on these apps to stay connected with others.

During this recent problem, one thing is obvious: the internet is always changing, and even big websites like Facebook can have problems. While people wait for Facebook to fix the issue, it shows us how easily things online can go wrong. It’s a good reminder that we should have backup plans for staying connected online, just in case something like this happens again.