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In fast-moving pandemic, sources of falsehoods spread by text, email, WhatsApp, and TikTok elude …

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Misleading text messages claiming that President Trump was going to announce a national quarantine buzzed into cell phones across the country over the weekend, underscoring how rapidly false claims are spreading — and how often it’s happening beyond the familiar misinformation vehicles of Facebook and Twitter.

The false cell phone texts spread so widely that Sunday night the White House’s National Security Council, fearing the texts were an attempt to spook the stock market as it opened Monday, decided to directly debunk the misleading claims in a Twitter post: “Text message rumors of a national #quarantine are FAKE. There is no national lockdown.”

But by then the messages already had spread widely, as had similar ones both in the United States and Europe in recent days. Text messages, encrypted communication apps such as WhatsApp and some social media platforms have carried similarly alarming misinformation, much of it with the apparent goal of spurring people to overrun stores to buy basic items ahead of a new wave of government restrictions.

The one claiming that Trump was going to impose a national quarantine included the advice, “Stock up on whatever you guys need to make sure you have a two week supply of everything. Please forward to your network.”

In fact, authorities have warned against aggressive buying that could disrupt supply chains and fuel panic.

Trump addressed the misleading text messages at an afternoon news conference Monday, saying, “It could be that you have some foreign groups that are playing games.”

On the possibility of a national quarantine, Trump said, “We haven’t determined to do that at all… Hopefully we won’t have to.”

In Europe, one viral video that was shared on WhatsApp claimed to show shoppers mobbing a store in the Netherlands. A version of the same clip put to music on TikTok, a popular China-based platform for short videos, was viewed more than four million times, according to a report last week by disinformation research group Bellingcat, which determined the video was actually from an incident in Germany several years ago.

Independent researchers, overall, though have struggled to track some of the coronavirus misinformation spreading as a fast-moving pandemic and rapidly evolving government actions spur insatiable demand for information — and opportunities to spread falsehoods. Often the messages are traveling from person to person, or through closed groups of people, through email or texts that are not seen by the general public.

Text messages are particularly difficult for independent researchers to trace, especially when messages ― like the Trump quarantine texts ― are delivered as graphical images as opposed to words that computers can more easily analyze. Those pushing misinformation may be changing tactics away from social media to thwart the major platforms’ efforts to catch and block falsehoods.

“As social media companies focus on keywords like ‘covid’ and ‘coronavirus,’ there are pockets of conspiracy theories that are welling up that potentially have some offline impact,” said Joan Donovan, director of the Technology and Social Change Research Project at Harvard’s Shorenstein Center.

Clemson University researcher Darren Linvill said a version of the false Trump quarantine message spread on Twitter throughout Sunday evening and into Monday morning, peaking before midnight East Coast time, but the total numbers were small, with fewer than 200 tweets. He found a few references on other social media.

What most concerned Linvill was that the misleading messages were spreading on cell phone networks, among friends and colleagues, undermining most readily available tracking technologies.

“That is disturbing,” said Linvill, an associate professor of communication. “The fact that this is texts … makes this impossible to track on social media.”

Graham Brookie, the director of the Atlantic Council’s Digital Forensic Research Lab, which tracks disinformation, said misleading text messages can have great effect because they use the same technology that families and friends use to communicate, meaning people are “more likely to believe” what they read.

“It’s a return to an older threat,” Brookie said. “We saw it on e-mail. This is not new. We’re going to need to figure out more mechanisms to learn about it more quickly.”

In contrast to SMS text messages, WhatsApp has developed controls to prevent mass text messages, imposing limits on the number of messages a single person can send at any one time. Forwarded messages and chain messages are labeled, spokesman Carl Woog said.

Twitter said it too has developed tools to slow the spread of misinformation, especially when there’s a risk of direct harm.

“We will remain vigilant and are committed to collaboration, which is key to protecting the rapidly-evolving public conversation around this critical global public health issue,” said Del Harvey, Twitter’s vice president of trust and safety.

A representative for ByteDance, owner of TikTok, did not respond to a message seeking comment.

As the false texts spread about a looming federal quarantine, the National Security Council began an interagency effort — involving the FBI, intelligence agencies, Homeland Security and State departments — to determine who is behind the apparent disinformation campaign.

The texts were often screenshots of purported text messages sent to friends and relatives to make them look authentic, a degree of sophistication that one U.S. official said might show that it’s a “broader plot” than something one hacker alone could pull off.

Federal Communications Commission spokesman Will Wiquist said, “Although we have not received any consumer complaints on this yet, we are aware of the issue and are looking into it.”

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NEWS

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

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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.

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GOOGLE

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

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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.

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FACEBOOK

Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again

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Facebook Problem Again

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.

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