Zavora

4.8 is demonstrating simplicity, hence its smarter?? It just refactored my 4.6 generated code (4.8 is very slow on difficult tasks - urgh! - without burning tokens - yey!) but the output was wow! Simple, elegant and exactly what i wanted to see.

I took up writing and sharing what I learned and it turned out to be an intensive fun actvity for a whole year...I did what I always dreamt of writing, romance novels, technical books on AI, science fiction, books on sensitive topics like abortion, books on my convictions...in total I wrote a 100 books that quenched that childhood dream...another transition example is my brother who always loved pigeons as a kid, he started raising them recently and the passion came back full speed that he is now exporting exotic pigeons and loving it more than the money....you don't have to look far, look at what gave you a sense of purpose as a kid or at any point in your life and take time to rediscover yourself - don't worry if the whole world disagrees or it seems silly - its just for you.

You should have tried SimpleEmailForHumans...now that's a tough one to trademark!

Its the new freeware model!

same error!

Suggest you get 4.6 to use the text to generate a writing skill and then give it to 4.7 to align. From their launch docs they do indicate that prompts have to change to get the best out of 4.7

The most important question is: does it perform better than 4.6 in real world tasks? What's your experience?

Chegg’s decline is a concrete example of how AI search is changing the web

There’s been a lot of debate about whether Google’s AI Overviews and tools like ChatGPT are actually harming publishers. One publicly traded company’s timeline is worth looking at: Chegg.

What happened (with sources):

2021: Chegg launched Uversity, a platform for educators to share academic content. (Wikipedia)

2023: ChatGPT emerged as a serious competitor in homework help. Chegg responded by launching CheggMate, its own AI product built on OpenAI’s models. (Wikipedia)

Late 2024: Chegg reported accelerating subscriber declines, widely attributed to users shifting to free AI tools instead of paid study platforms. (WSJ, company filings)

Feb 2025: Chegg sued Google, alleging that AI Overviews reduced traffic to Chegg by answering questions directly in search results, harming acquisition and revenue. (Search Engine Land, Reuters)

May 2025: Chegg laid off ~22% of its workforce (≈248 employees), citing competitive pressure from AI and changes in search behavior. (Reuters)

Oct 2025: Chegg announced another round of layoffs (~45%, ≈388 employees), explicitly referencing “the new realities of AI” and reduced traffic from Google to content publishers. (Reuters / SF Chronicle)

What the data suggests (more broadly):

Independent studies show that when Google AI Overviews appear, users are significantly less likely to click through to external sites.

“Zero-click” searches (where users get answers directly on the results page) have increased, especially for informational and educational queries.

The impact isn’t uniform — some publishers report minimal effects — but content that answers how-to, homework, or factual queries appears most exposed.

Why this matters:

Chegg isn’t a small blog or SEO-driven site. It’s a public company with audited financials, legal disclosures, and incentives not to exaggerate under scrutiny. Its filings and lawsuit don’t claim AI is “bad” — they claim that traffic flows are structurally changing.

This doesn’t prove AI search is “killing the web,” but it does show:

AI answers are substituting clicks, not just competing for them.

Entire business models built on informational content are under pressure.

“Build better content” may not be sufficient when answers are synthesized upstream.

Curious how others here see it:

Is this a temporary transition problem?

Or are we watching the unbundling of the open web’s traffic economy in real time?

Here's the link to the book: https://www.amazon.com/dp/B0DPN1YHFW

Thank you!