NEWS
Google: Sites Need to Be Worthwhile to be Indexed via @sejournal, @martinibuster
Google’s John Mueller offered more information about that pesky “Discovered – but currently not indexed” message in Google Search Console. Mueller answered a series of tweets about what’s going on at Google when they choose to not index a URL.
Is Google Indexing Bugged?
There are numerous discussions on Twitter and Facebook about notices that a URL has been discovered but not indexed because it’s troubling to work on content and see it appear to be rejected by Google.
Search Marketing professional Dan Shure (@dan_shure) started a Twitter thread about this topic sharing how a new article was discovered but not indexed.
Dan shared the example of a client site that published two articles and days went by showing up as Discovered but currently not indexed.
They submitted the URLs for a re-crawl but Google essentially turned its back on those pages, refusing to index them.
Could the URL Be Blocked After Being Discovered?
So Dan floats the idea that maybe the URL itself, after being discovered and not indexed, is burned at this point and decides to remove the old URL and paste the content on a new URL.
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That’s a really good idea to scrap the old URL and basically try again with a different URL.
He tweeted:
“So by last Friday we’d been waiting 10+ days (even new posts were being indexed)
I thought, is the *URL itself* ‘dinged’?
So we deleted one of the posts, copied/pasted the same content exactly & re-published on a new page with a slightly different URL & new publish date “
Dan continued in the next tweet:
“The post on the new URL (but same content) indexes IMMEDIATELY (without even submitting it to GSC) in just a few hours.
The OTHER post which we left alone still was not indexed though.
We’re going to move that one to a new URL/date now and see if the same thing happens.”
Dan concluded that there must have been something about that URL.
“We know Google indexes content using the URL as basically the main “id” by which all signals are associated.. so it could make sense if a URL gets “Discovered but not indexed” on the first pass it gets some sort of “ding” – maybe something to try if you run into this problem”
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Nothing New or Special About Discovered/Not Indexed
Google’s John Mueller questioned whether the tool was confusing people and whether Google should just remove it.
There’s nothing really special or new about “discovered / not indexed” — it’s mostly just that this was previously (before it got added to SC) not something you saw. It’s essentially “we saw you, but maybe later, or never”. Does it confuse people too much? Should we remove it?
— 🧀 John 🧀 (@JohnMu) November 8, 2021
Teetering on the Edge of Indexing
Mueller acknowledged that sometimes the same content will get indexed under a new URL in situations where the site is “teetering on the edge of indexing” which could mean many things such as overall site quality.
That’s a really useful bit of insight Mueller shared:
“Yeah, that can happen. But it can also happen that it drops out again a week later, or a different URL drops out.
If you’re teetering on the edge of indexing, there’s always fluctuation.
It basically means you need to convince Google that it’s worthwhile to index more.”
John followed up with a deeper explanation:
“Since we don’t have an understanding of the URL (it’s not indexed), we have to pull in the rest of the site to better understand its potential context within the site, and within the rest of the web. Is it something the web has been waiting for? Or is it just another red widget?”
When pressed to explain how to convince Google to index something John Mueller responded with:
“Awesomeness.
Lots of awesomeness.
All kinds of awesomeness.
And add more awesomeness.”
What is Awesomeness?
Be awesome makes sense and doesn’t need explanation. But it is kind of vague.
I prefer something like: Don’t do what everyone else is doing, just do it how you feel is best.
Or something like: Create something that would have made you excited when you were new to the topic.
More is Not Better
That whole thing about do it “Ten Times Better” is motivational but naive because more does not equal better.
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Another common mistake is to copy the competitors, to use their same keywords and synonyms (as if there’s magic in their keywords) because that leads to essentially rewritten content.
Prince didn’t become famous by copying Michael Jackson, right?
So why are SEOs so hung up on taking inspiration from what already ranks in the top ten? It makes sense to see what Google is ranking but it stops making sense when an SEO starts to rewrite what is already ranking.
If you know the topic and are good at it, then why not try not looking at what the competitors are doing and just do your best? Maybe Google might recognize a singular voice in your site, others will call it awesome and it probably won’t have issues getting indexed.
Citation
Read the Twitter discussion:
Could “Discovered – but currently not indexed” put a URL in some sort of ‘blacklist’?
Could “Discovered – but currently not indexed” put a URL in some sort of ‘blacklist’?
Thought I’d share something strange and interesting that happened w/a few blog posts of a client..
(1/5) (I hate doing threads but this needs a little detail) 👇🏻
— Dan Shure (@dan_shure) November 8, 2021
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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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