ChatGPT updated but not as smart

Some researchers who track the effectiveness of large language model services have made the claim that ChatGPT has become “dumber” despite the more advanced GPT-4 no being available. Now, ChatGPT promoters and these researchers are involved in the controversy of whether this is actually the case. As OpenAI is challenged by more and more challengers to gain market share. This dispute has real consequences.

Dr. Ethan Mollick a Wharton Professor claims that performance when GPT-3.5 and GPT-4 implementations are given the same prompts the more “advanced” version is less successful. Backers claim differences may result from the specific type of prompt the two systems are asked to address.

Others suggest that the perception that the capabilities of this model have declined results from users getting past the “wow” factor and perhaps evaluating products more carefully. I know from my own experiences, I was shocked when I asked ChatGPT to provide citations for the stations made that the service would generate complete APA-looking journal citations which I would discover were completely bogus when I tried to look them up. I no longer would offer content generated in response to general prompts and use present AI tools when I am able to focus the tool on a specific resource (typically a pdf) I can designate.

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ChatGPT activity declines

Before the release of the Twitter alternative from Meta (Threads), ChatGPT had been the fastest growing online resource. It appears this interest has peaked and use of the online site declined 9.7% in June.

Explanations for this decline vary but pundits following this decline in interest propose that it is likely due to:

  • Students not being in school
  • Experiences of users that include the inclusion of false information in AI generated content
  • Companies refusing to allow employees to use AI services for feat of the lose of company secrets.

Source: Washington Post

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Explore layering this summer

I expect that if educators are spending time exploring technology for their classrooms this summer, they are likely trying to work through how AI will impact what they have always done and how they might make adjustments to avoid the problems and take advantage of the opportunities of this innovation.

While I agree with this priority, I want to make one other suggestion. Consider how your students might benefit from layering services. Layering is my own term for a collection of services allowing an educator to combine useful online pages and videos with an assortment of prompts added to increase the understanding and retention of information contained in these resources. What I describe as prompts can include several different additions that vary from one service to another. Prompts can include – highlights, annotations (which may include links to media external to the original page or video), questions, discussion prompts and tools, and a few more similar capabilities. I would describe the purpose of the additions as ways to engage learners in generative processing of the original content. Questions make the easiest example. If you believe it important to have learners think of personal connections with the new content they are reading or viewing, ask for examples. Finally, most learning services allow learners to apply at least some of these generative tools themselves. So, in addition to experiencing the annotations provided by their teacher, students can apply many of these tools themselves (e.g., highlighting, annotation, and self-questioning). 

I have an inexpensive Kindle book about this approach (https://www.amazon.com/Designing-Instruction-Using-Layering-Services-ebook/dp/B08F2ZFV17/) and offer some videos explaining a variety of online tools I categorize as ways educators can use to implement layering experiences (https://learningaloud.com/layer/index.html).

Why bother? Here are a couple of ideas I offer as motivation. First, layering provides a way of designing educational experiences that get away from a strictly textbook-based approach. I know this goal is important to many educators. Second, learning from web content is becoming an increasingly important life skill. We all view online YouTubes and web pages for both entertainment and information. Learning to process the information provided at a more critical and deeper level is important. Experience with layering services in the context of a classroom is one way to develop some of these skills. 

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TWIT’s All About Android ends

I follow several of the TWIT (This Week in Tech) podcasts and was surprised to learn that All About Android was ending (final program). I was not a listener, but the OS and associated hardware (mostly phones) continue to be popular mostly as an alternative to the more expensive iPhones and just as an alternative operating system. The hosts explained that the number of downloads was declining and it just seemed there was less interest.

The main host, Jason Howell, said that he was now going to be working on an AI-focused program and this would seem both an interesting program and a wise business decision. I will likely post a link when the podcast launches.

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Recommendations for Summer AI exploration

Those of us who blog for the K12 Education professionals are likely to have offered recommendations for ways in which educators might use the summer months to develop their experiences with AI and to prepare for what to do about AI in their classrooms this fall. My more extended posts of relevance can be found on my LearningAloud blog.

It is helpful to understand that ChatGPT just arrived on the scene in November. The impact and concerns were immediate and educators really had little time to make decisions and decide on policies for their classrooms. The summer allows time to prepare a more deliberate approach.

Here I provide a link to a Wired article providing the comments of a Michigan educator []. The title is misleading as it implies the article deals exclusively with ethical issues which many educators would likely assume concerns students’ use of AI to cheat. The article deals with other ethical issues and I think most helpfully recommends some podcasts focusing on AI in education.

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Who killed Google Reader

If you became a heavy user of the Internet within the past decade, you may only know of Google Reader through those reminiscing about the tools of long ago and far away. Perhaps you have also heard the product mentioned by those complaining about the useful services Google decided to kill even though many seemed to have found them useful.

The Verge just published a great piece summarizing the history of Reader and that can be used by anyone wanted to catch up on the history of online tech. As even my more recent posts have indicated, I still find value in RSS and “readers” that allow a user control of the content they access. Source awareness and context are what we lose when we become enamored of AI summaries of questionable validity.

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