NEWS
TikTok’s Taking Legal Action Against the Trump Administration’s Attempts to Ban the App in the US
After assessing its options following the Trump administration’s Executive Order, which will essentially force it to sell to a US company, or face a ban in the American market, TikTok has now confirmed that it will indeed be pursuing legal action against the US Government over the official directive.
In a statement, TikTok has explained the pending action, saying that it sees no other option but to challenge the Order:
“Even though we strongly disagree with the Administration’s concerns, for nearly a year we have sought to engage in good faith to provide a constructive solution. What we encountered instead was a lack of due process as the Administration paid no attention to facts and tried to insert itself into negotiations between private businesses.”
The statement echoes similar remarks TikTok made in its initial response to the EO, which TikTok says was put together without “due process or adherence to the law”.
“The text of the decision makes it plain that there has been a reliance on unnamed “reports” with no citations, fears that the app “may be” used for misinformation campaigns with no substantiation of such fears, and concerns about the collection of data that is industry standard for thousands of mobile apps around the world.”
And TikTok may well have a point – while there are significant concerns around TikTok’s operations and processes, there’s no publicly available evidence to prove that it’s actually shared data on US users with the CCP, nor that it’s censored content on behalf of the Chinese regime.
For example, in the White House EO, it notes that:
“TikTok also reportedly censors content that the Chinese Communist Party deems politically sensitive, such as content concerning protests in Hong Kong and China’s treatment of Uyghurs and other Muslim minorities.”
There has, indeed, been some suggestion that TikTok has filtered out content related to the Hong Kong protests, though no definitive evidence has been found to support such, while TikTok has also sought to clarify various misunderstandings around supposed action it’s taken against creators who’d posted content about China’s treatment of Uighur Muslims.
In neither case is there any definitive evidence – at least, none that would stand up in a legal challenge. Which is why TikTok is now moving to the next stage.
“To ensure that the rule of law prevails and that our company and users are treated fairly, we have no choice but to challenge the Executive Order through the judicial system,”
The action makes sense, though it’s not likely to do much to endear TikTok to US officials, which could, eventually, make things even more difficult for the app.
TikTok’s decision to take the next legal step could also indicate that the negotiations over its potential sale to a US buyer – likely Microsoft – are not progressing as expected. As noted, in TikTok’s initial statement on the Executive Order, it did float the possibility of legal action, but the view was that TikTok would only want to pursue that course of action as a last result, for fear of further pitting itself against the Trump administration.
Microsoft seemingly remains the leading bidder for TikTok, which some have valued at around $30 billion, but there are various concerns which could see the company hesitate in pulling the trigger on such a massive deal.
Could the discussions have deteriorated to a point where TikTok feels the need to take this back-up step? You can be sure that Microsoft, as the potential owner of TikTok, would not be keen on having any involvement in a legal battle with the US Government.
Of course, that case theoretically goes away if the Microsoft deal does go through, but even so, the fact that TikTok is taking this next legal advance could reflect concerns that things are not going to work out as hoped.
But then again, there are other suitors. Oracle was this week revealed as one of several partners in a consortium looking to make a bid for the platform, while Google had also, at one stage, considered contributing to a collective bid for the platform, before changing its mind.
There are, seemingly, options available that would keep the platform running, but TikTok’s decision to head to the courtroom doesn’t seem to be a great sign.
But then again, it could also be a delaying tactic – maybe, if TikTok can delay any decision until after the US Election, it might be able to renegotiate its status with a new Presidential regime. If Trump were to lose the vote – and Trump has repeatedly noted that the action against TikTok is more about punishing China for COVID-19 than it is about security fears. If Trump were no longer in charge, maybe, a new President would be more sympathetic to the situation – or at the least, be more willing to base any such decision in the rule of law, as opposed to thinly veiled vendettas.
Maybe, then, TikTok’s legal action is less about winning the case, as such, and more about prolonging the app’s availability. Which could work, given the official grounds of the initial order.
Either way, according to TikTok general manager Vanessa Pappas, the app is not going anywhere:
“We believe we have multiple paths forward to ensure that we continue to provide this amazing app experience to the millions of Americans who come to rely on it every day.”
Evidently, a legal challenge is another of those paths. Now to see how that plays out – with the app’s September 15th deadline inching ever closer.
NEWS
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.
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 Faces Yet Another Outage: Platform Encounters Technical Issues 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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