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Twitter banning political ads is the right thing to do, so it will be attacked mercilessly

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twitter banning political ads is the right thing to do so it will be attacked mercilessly

Twitter founder and CEO Jack Dorsey announced abruptly — though the timing was certainly not accidental — that the platform would soon disallow any and all political advertising. This is the right thing to do, but it’s also going to be hard as hell for a lot of reasons. As usual in tech and politics, no good deed goes unpunished.

Malicious actors, state-sponsored and otherwise, have and will continue to attempt to influence the outcome of U.S. elections via online means, including political ads and astroturfing. Banning such ads outright is an obvious, if rather heavy-handed, solution — but given that online platforms seem to have made little progress on more targeted measures, it’s the only one realistically available to deploy now.

“Not allowing for paid disinformation is one of the most basic, ethical decisions a company can make,” wrote Representative Alexandria Ocasio-Cortez (D-NY) in a tweet following the news. “If a company cannot or does not wish to run basic fact-checking on paid political advertising, then they should not run paid political ads at all.”

One of the reasons Facebook has avoided restricting political ads and content is that by doing so it establishes itself as the de facto arbiter between “appropriate” and “inappropriate,” and the fractal-complex landscape that creates across thousands of cultures, languages and events. Don’t cry for Mark Zuckerberg, though — this is a monster of his own creation. He should have retired when I suggested it.

But Twitter’s decision to use a sledgehammer rather than a scalpel doesn’t remove the inherent difficulties in the process. Twitter is just submitting itself for a different kind of punishment. Because instead of being the arbiter of what is appropriate, it will be the arbiter of what is political.

This is slightly less fraught than Facebook’s task, but Twitter will not be able to avoid accusations — perhaps even true ones — of partisanship and bias.

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For instance, the fundamental decision to disallow political advertising seems pretty straightforward and nonpartisan. Incumbents rely on traditional media more and progressives tend to be younger and more social media-savvy. So is this taking away a tool suited to left-leaning challengers? But incumbents tend to have bigger budgets and their spend on social media has been increasing, so could this be considered a way to curb that trend? Who this affects and how is not a clear-cut fact but something campaigns and pundits will squabble about endlessly.

(Update: The Trump re-election campaign has already called it “yet another attempt to silence conservatives.”)

Or consider the announcement Dorsey made right off the bat that “ads in support of voter registration will still be allowed.” Voter registration is a good nonpartisan goal, right? In fact it’s something many conservative lawmakers have consistently opposed, because unregistered voters, for a multitude of reasons, skew toward the liberal side. So this too will be considered a partisan act.

Having unofficially provided some guidance, Twitter will put out official guidelines in a few weeks, but it’s hard to see how they can be satisfactory. Will industry groups be able to promote tweets about how their new factory is thriving because of a government grant? Will an advocacy organization be able to promote a tweet about a serious situation on the border? Will news outlets be able to promote a story about the election? What about a profile of a single candidate? What about an op-ed on an issue?

The difference between patrolling the interior of the politics world, and patrolling its borders, so to speak, may appear significant — but it’s really just a different kind of trouble. Twitter is entering a world of pain.

But at least it’s moving forward. It’s the right decision, even if it’s a hard one and could hit the bottom line pretty hard (not that Twitter has ever cared about that). The decision to do this while Facebook is dismantling its credibility with a series of craven, self-interested actions is a canny one. Even if Twitter fails to get this right, it can at least say it’s trying.

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And lastly, it should be said that it also happens to be a good choice for users and voters, a rare exception to the parade of user-hostile decisions coming out of the big tech and media companies. Going into an election year, we can use all the good news we can get.

TechCrunch

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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.

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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.

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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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