NEWS

Germany tightens online hate speech rules to make platforms send reports straight to the feds

Published

4 years ago

June 19, 2020

germany tightens online hate speech rules to make platforms send reports straight to the feds

While a French online hate speech law has just been derailed by the country’s top constitutional authority on freedom of expression grounds, Germany is beefing up hate speech rules — passing a provision that will require platforms to send suspected criminal content directly to the Federal police at the point it’s reported by a user.

The move is part of a wider push by the German government to tackle a rise in right wing extremism and hate crime — which it links to the spread of hate speech online.

Germany’s existing Network Enforcement Act (aka the NetzDG law) came into force in the country in 2017, putting an obligation on social network platforms to remote hate speech within set deadlines as tight as 24 hours for easy cases — with fines of up to €50M should they fail to comply.

Yesterday the parliament passed a reform which extends NetzDG by placing a reporting obligation on platforms which requires them to report certain types of “criminal content” to the Federal Criminal Police Office.

A wider reform of the NetzDG law remains ongoing in parallel, that’s intended to bolster user rights and transparency, including by simplifying user notifications and making it easier for people to object to content removals and have successfully appealed content restored, among other tweaks. Broader transparency reporting requirements are also looming for platforms.

The NetzDG law has always been controversial, with critics warning from the get go that it would lead to restrictions on freedom of expression by incentivizing platforms to remove content rather than risk a fine. (Aka, the risk of ‘overblocking’.) In 2018 Human Rights Watch dubbed it a flawed law — critiquing it for being “vague, overbroad, and turn[ing] private companies into overzealous censors to avoid steep fines, leaving users with no judicial oversight or right to appeal”.

The latest change to hate speech rules is no less controversial: Now the concern is that social media giants are being co-opted to help the state build massive databases on citizens without robust legal justification.

1. Data protection concerns. All flagged content and with it all kinds of personal data of the affected users flow into one giant central data base of a law enforcement agency

— Jana Gooth (@janagooth) June 18, 2020

A number of amendments to the latest legal reform were rejected, including one tabled by the Greens which would have prevented the personal data of the authors of reported social media posts from being automatically sent to the police.

The political party is concerned about the risk of the new reporting obligation being abused — resulting in data on citizens who have not in fact posted any criminal content ending up with the police.

It also argues there are only weak notification requirements to inform authors of flagged posts that their data has been passed to the police, among sundry other criticisms.

The party had proposed that only the post’s content would be transmitted directly to police who would have been able to request associated personal data from the platform should there be a genuine need to investigate a particular piece of content.

The German government’s reform of hate speech law follows the 2019 murder of a pro-refugee politician, Walter Lübcke, by neo nazis — which it said was preceded by targeted threats and hate speech online.

Earlier this month police staged raids on 40 hate speech suspects across a number of states who are accused of posting “criminally relevant comments” about Lübcke, per national media.

The government also argues that hate speech online has a chilling effect on free speech and a deleterious impact on democracy by intimidating those it targets — meaning they’re unable to freely express themselves or participate without fear in society.

At the pan-EU level, the European Commission has been pressing platforms to improve their reporting around hate speech takedowns for a number of years, after tech firms signed up to voluntary EU Code of Conduct on hate speech.

It is also now consulting on wider changes to platform rules and governance — under a forthcoming Digital Services Act which will consider how much liability tech giants should face for content they’re fencing.

TechCrunch

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NEWS

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

Published

2 months 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

4 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

7 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.