Sunday, June 30, 2024

In-App Subscription Revenue Expected to Hit $120B in 2024

According to a new report, in-app subscriptions are continuing to grow even though many consumers do not want to subscribe to different services. For the past few years, consumers do not want to buy the full app features. They just subscribe to different services in the app on a weekly or monthly basis. Right now, weekly subscriptions are getting popular with a 15% YoY increase in apps which are supporting this model.

Many of the app developers say that weekly revenue motivates them to keep improving the apps but many experts say that this model can be problematic. Even with a subscription fatigue among consumers, the in-app subscription market is thriving. As per Adapty, the global revenue of in-app subscriptions is expected to hit $120 billion in 2024 which is way higher than last year.

The most common subscription period now is weekly, with 55% of consumers subscribing to in-app services on a weekly basis. Some time ago, many apps just offered monthly or yearly subscriptions so consumers had to choose monthly. There are three reasons why consumers and developers enjoy weekly subscriptions. The first reason is that consumers see weekly subscription as a free trial and the subscription fee is also fairly lower than monthly subscription. Developers also get revenue on a weekly basis with this. Secondly, consumers like weekly subscriptions because they are not completely committed to the app which makes the in-app subscriptions rise in numbers. Third reason is that when the app shows a weekly subscription amount instead of monthly, it will make the app look cheaper and affordable.


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by Arooj Ahmed via Digital Information World

Study Finds that AI is Capable of Working at Healthcare as It Gives Better Answers than Most of Physicians

A recent study published in JAMA Internal Medicine says that most of the ChatGPT’s responses about health related queries are 79% times more accurate and superior than general physicians. We can see how smart Artificial Intelligence (AI) has become. From the past year, AI has been proving itself useful in a number of tasks and is capable of understanding and communicating in normal human language. ChatGPT is one of the most important and advance models of AI which was released in 2022.

The author of the study, John W. Ayers, found out that use of AI, especially ChatGPT, can be very useful in healthcare. Physicians and healthcare workers are currently experiencing a burnout and with AI contributing in healthcare, it can answer questions of patients. To prove that ChatGPT is truly capable of that, the researchers conducted a study and asked ChatGPT the question a patient would ask physicians. Reddit was used for this study. They asked questions in a subreddit r/AskDocs with 474,000 members. The study was focused on getting answers from physicians as physicians could give better quality answers as compared to other healthcare workers.
ChatGPT also gave answers to the same questions which were asked in Reddit. ChatGPT’s responses were given to experts to evaluate. After the responses were gathered from both sources, they were given to experts without telling them which response was AI generated and which was human. 79% of the responses given ChatGPT were evaluated as better. The ratings given to physicians were just ‘acceptable’. 27% of the physicians answers were below ‘acceptable’. Only 3% of ChatGPT’s answers were below ‘acceptable’. ChatGPT’s answers were said to be more empathetic than physicians’ too.

Image: DIW-Aigen

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by Arooj Ahmed via Digital Information World

Saturday, June 29, 2024

ChatGPT’s Fake URLs Highlight Ongoing AI Hallucination Issues, Nieman Lab Reports

Nieman Lab, a company focused on the future of news and innovation, ran a test on ChatGPT to find out if it will provide accurate links to news articles and publications. The test revealed that ChatGPT didn’t provide accurate answers. Instead, ChatGPT made up its own URLs which are known as “AI Hallucinating” to prove itself right. This proved that AI chatbots are prone to lying and making up information more than you think.

Andrew Deck, a researcher working at Nieman Lab, asked ChatGPT to provide URLs to ten high profile news from major news companies like The Financial Times, The Times, The Wall Street Journal, The Verge, Politico, Le Monde, El Pais, and Associated Press. In response to the prompt, ChatGPT provided fake URLs which led to error 404 pages. One of the OpenAI spokesmen said that the company is still working to incorporate news into the AI chatbot. After some more developments, ChatGPT will be able to cite accurate links to news publications. But he said nothing about AI’s hallucination and providing made-up URLs.

OpenAI has deals with many of the big news companies. So, ChatGPT not providing correct URLs to the news from those companies is a major area of concern. We still don’t know when OpenAI will make news accurate on ChatGPT or how reliable it will be. But one thing is for sure – If AI is making up news URLs, it is also definitely can make up other fake facts. So, don’t use AI chatbots mindlessly, including ChatGPT, to find out accurate information and facts.

Image: DIW-Aigen

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by Arooj Ahmed via Digital Information World

Instagram Reels Are Getting Popular, Leaving TikTok Behind

Instagram’s reels are giving tough competition to TikTok. Meta launched this short-form video feature on Instagram in 2020. At that time, it didn’t succeed in capturing users’ attention as everyone was more fond of TikTok. But in 2024, the stats say something else. According to a survey done in March 2024 among 1000 Americans over the age of 16, 37% of the Instagram users watch reels daily while 78% watch them monthly. The survey also shows that reels are making TikTok engagements decrease as 26% of the Instagram reels users do not even open TikTok. This was 20% in September 2023.

In April, the study by research company Omdia found out that the IG reel takeover isn’t only happening in the USA but globally. Instagram reels have taken over TikTok in countries like Japan, Brazil and UK in the rankings of short-form videos. In the USA, and Brazil, IG Reels was ranked at number two (after YouTube) while TikTok was at fourth position. In Span, reels even overtook Netflix.


Instagram has quickly risen to popularity in terms of viewer engagement and short-form videos. The way people consume video content has also been transforming. TikTok has also gained a lot of popularity in the last few years as most of the Gen-Z using it as a Google. 31% of the US adults use TikTok daily which was 30% last year. Reels is the one to blame as 50% of the US adults were engaging with TikTok in September 2023, which has gone down to 46% in 2024.

There are many reasons other than reels behind TikTok’s low engagements too. TikTok introduced Creator’s Reward Program which was for creators to make longer videos on TikTok. Users want to watch shorter videos so they watch reels instead. Talks of banning TikTok in some countries have also made creators make less content on TikTok. In addition to that, YouTube Shorts are also getting popular too. 40% of the users who watch shorts on YouTube do not watch TikTok. The YouTube Shorts users who use TikTok too have decreased to 25% this year.

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by Arooj Ahmed via Digital Information World

Baidu's Ernie 4.0 Turbo Boosts API Capacity to Handle 500 Million Queries Daily

Baidu has released Ernie (Enhanced Representation through Knowledge Integration) 4.0 Turbo, an upgraded large language model (LLM) based on Ernie 4.0 from October 2023. This new model is faster and more powerful to keep Baidu ahead in the AI space.

Ernie 4.0 Turbo will be available on mobile apps and web platforms, and developers can integrate it through Baidu’s Qianfan AI platform. Wang Haifeng, Baidu’s chief technology officer, mentioned this during a recent event and highlighted Ernie’s applications such as Ernie Bot, a chatbot to compete with OpenAI’s ChatGPT.

Since 2019, Ernie has been growing in usage, powering innovations in smart cars, cloud computing and more. Ernie Bot has 300 million users already.

Baidu also upgraded its PaddlePaddle AI platform to version 3.0, supporting 14.65 million developers and 370,000 businesses worldwide.

In response to the growing demand, Baidu’s Ernie API now handles 500 million queries a day, up from April. Baidu also launched AI tools for the agricultural sector, expanding the application areas.

This development coincides with broader industry shifts, including OpenAI's decision to restrict access to its API in certain regions, prompting Chinese AI firms to offer migration services and incentives to affected users. In contrast, OpenAI recently introduced GPT-4o and a new macOS desktop app, amidst ongoing developments and challenges in the AI landscape.

Image: Baidu Inc. / X

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Friday, June 28, 2024

Microsoft AI Chief Sparks Debate with Fair Use Claims for Internet Content

Microsoft may have entered controversial territory following recent statements by Mustafa Suleyman, the tech giant's AI CEO, during his conversation with NBC’s Andrew Ross Sorkin at the Aspen Ideas Festival. Suleyman asserted that any content on the internet can be used for AI training unless the creator explicitly says otherwise.

Suleyman suggested that, since the 1990s, the accepted understanding has been that publicly accessible web content falls under fair use. This perspective implies that anyone can copy, recreate, or repurpose such content. However, he acknowledged a distinction for content where publishers explicitly prohibit scraping or crawling, a matter he believes will ultimately require legal clarification.

These assertions prompt several critical inquiries. The first question is whether it is permissible to use others' content to generate new material. Closely related is the issue of whether profiting from derivative works created from existing content is acceptable. Another important consideration is how creators could have specified restrictions on AI training before the technology became prevalent. Additionally, there is the question of whether Microsoft has honored requests from organizations to limit content usage solely to search indexing. Finally, it is worth examining if Microsoft's partners, including OpenAI, have respected similar restrictions.

Suleyman’s perspective is met with opposition from many publishers, evident in ongoing legal battles.

Image: NBC News / YT

The issue of training AI models with existing content versus potential theft has sparked heated debate within the tech and creative communities. While some argue that using such content for AI training is analogous to artistic study, others view it as intellectual property theft, particularly when it involves monetizing derivative works.

YouTube's approach of offering substantial payments to record labels for training its AI models on their music libraries illustrates a consensual method of content utilization. In contrast, Suleyman's remarks suggest that any content not explicitly protected is fair game for AI training.

Microsoft and OpenAI have faced numerous copyright infringement lawsuits. Recently, eight U.S.-based publishers filed suits against these entities, adding to existing litigation initiated by The New York Times.

AI-generated content has sparked controversy beyond just its training data. For instance, an animated video using AI, which reached the finals of a competition, provoked backlash among Pink Floyd fans.

In essence, Suleyman posits that publicly accessible content is akin to freeware unless stated otherwise by the creator. This stance, however, raises complex legal and ethical questions that extend far beyond the simplicity of social media disclaimers.



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by Asim BN via Digital Information World

Not Many Research Marketers are Using AI Despite Saying that AI is Useful for Their Work

According to a recent research by Market Research Institute International (MRII), many of the researchers are not yet using Artificial Intelligence for their work even though they say AI is going to be important in their work in the future. The survey from 269 research marketers around the world showed that only 40% of these marketers and their teams are using AI everyday to get the work done. Most of the time, research marketers are using AI for report generation, sentiment and data analysis, questionnaire developments and literature reviews.

59% of the marketers who were surveyed said that they know AI is going to be important in the research market, but only 23% of them said that they are using their AI skills in their work. Upon asking if they find AI favorable for their job, 74% of those research marketers said that they find AI favorable for them.
Research marketers also said that use of AI can help them save their time and enhance their efficiency. AI can also help in routine research tasks and streamline report generation. The top problems research marketers can face with AI are algorithm biases and data and privacy issues. AI can also be sometimes inaccurate in research.




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