NEWS
Banning digital political ads gives extremists a distinct advantage
Jack Dorsey’s announcement that Twitter will no longer run political ads because “political messages reach should be earned, not bought” has been welcomed as a thoughtful and statesmanlike contrast to Mark Zuckerberg’s and Facebook’s greedy acceptance of “political ads that lie.” While the 240-character policy sounds compelling, it’s both flawed in principle and, I fear, counterproductive in practice.
First: like it or hate it, the U.S. political system is drowning in money. In 2018, a non-presidential year, it is estimated that over $9B was spent on the U.S. elections. And unless laws change, more will continue to flow. Banning digital ads will not reduce the amount of money in politics, and will simply shift it to less transparent channels. In an ideal world, it would be great if all “political messages were earned and not bought,” but that is not how our system works. Candidates, Super PACs, C4s and others already allow the majority of their budgets to be swallowed up by other, less visible, accountable and cost-effective, channels — including television, mail, telephone, and radio.
More likely, at least some of the money will end up with even less transparent organizations that aren’t deemed “political,” but very much are.
Second, banning digital political ads will not only hurt the very candidates people should want to help, it will also damage our democratic process. Analog mediums are significantly more expensive and inefficient than digital ones, so candidates who have a lot of money and/or have spent time cultivating their followings will continue to dominate. In other words, incumbent candidates, rich people and reality TV stars enjoy an outsized advantage when digital advertising is denied.
A recent Stanford study found that, at the state house level, more than 10 times as many candidates advertise on Facebook than advertise on television. The research found that digital ads lowers advertising costs, which expands the set of candidates for whom advertising — and thus the potential to reach voters and seriously contest an election — is a real possibility.
Lesser well-known, but often highly-qualified candidates at the state, local and federal level are precisely the people who have been celebrated for their new perspectives, creative ideas and commitment to shake up the system. People who put their heads down, do good work in their communities and decide to run because they want to make a difference will be the ones that are disadvantaged.
You know who gets plenty of earned media opportunities? Donald Trump. He will be fine. In fact, he will be better than fine because we’ve just handed him and more extremist candidates like him a distinct advantage.
Democracy is about the combination of free speech and transparency. As the old adage goes, sunlight is the best disinfectant, so here are a few ideas that would be more effective than a ban:
- Adding a “nutrition label” to political ads offers a more accessible, understandable and consistent way to identify the identities of the funder, their location, their budget and their target audience. This should be easily accessed, in any political ad via one click, just like we know where to find nutrition information on food we buy.
- Enhance “consumer beware” acknowledgments so that if digital political ads remain exempt from fact-checking (as they mostly are on television), platforms have a duty to make that clear with visual signals and user education.
Ultimately, decisions about what is permissible political speech and appropriate distribution and targeting is too important to be left to technology platforms and their conceptions of the public interest.
Do we want Google, Facebook and Twitter making the rules for all political ads and being responsible for enforcing them? What we need is a true oversight body — one with teeth. If non-political advertisers make false claims about their own products or those of their competitors, they can be fined by the FTC. This is an acknowledgment, not only that consumers need accurate facts, but also that companies can not police themselves. This is far too much power for them.
This isn’t a way to let technology companies off the hook, as there is plenty more they can do as noted above. But we need a truly independent organization overseeing political ads — the rules that govern them and holding organizations accountable to following those rules. Is this the FEC? I’m not sure.
As I write this today, I worry that no agency truly has the capacity or the expertise to create these rules and challenge bad campaign practices. We should remedy this post-haste and get to finding true solutions. The alternative seems easier and even principled to fight for, but the unintended consequences will be swift — a government full of the types of people who we say we don’t want.
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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