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#aioverviews

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"Sixteen months have passed since we showed you how Google’s algorithm was killing independent websites by favoring big media publishers that were abusing their reputation to sell you bad products.

Since then, Google enforced a new spam guideline called “site reputation abuse” by removing entire sections of major websites from their search index… at least for a few months.

While this drama was unfolding, Google rolled out AI Overviews under the slogan, “Let Google do the searching for you.”

But are AI Overviews leading you to the best results on the web? Or is this just a new prime spot for selling you products you will regret buying? And how does this change affect the websites that made Google’s AI possible in the first place?

To find out, we spent weeks conducting research into air purifiers we reviewed (including models that don’t exist) to determine whether Google Search results and AI Overviews are leading consumers to good advice.

It turns out this rabbit hole is deeper than we thought, with ramifications that span major Reddit communities and could be leading you to scams and defamatory hallucinations.

I hope you’re ready for a long read because this article is packed with examples, fresh data and way too many screenshots."

housefresh.com/beware-of-the-g

Beware of the Google AI salesman and its cronies
HouseFresh · Beware of the Google AI salesman and its croniesExposing the overly salesy AI Overviews that will push you to buy bad products and exploring the system making it possible.

🧠 Studio e ottimizzazione dei contenuti di #AIOverviews: come si può lavorarci? 
✨ Questo software è un piccolo esempio. Come funziona: linkedin.com/posts/alessiopoma

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✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomar 

"Search With Stateful Chat" patent (Cf. patents.google.com/patent/US20 ) - appears to describe the Gemini app for smartphones.

"Method for Text Ranking with Pairwise Ranking Prompting" (Cf. patents.google.com/patent/US20 ) - documents an experimental process described in this research paper titled "Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting" (Cf. arxiv.org/pdf/2306.17563 ). There is no indication this was introduced into a live agentic system like Gemini.

"User Embedding Models for Personalization of Sequence Processing Models" (Cf. patents.google.com/patent/WO20 ) - documents an experimental process for improving recommender (sub-)systems (like movie searches) that incorporate large language models. The process is described in this research paper titled "User Embedding Model for Personalized Language Prompting" (Cf. arxiv.org/pdf/2401.04858 ).

"Systems and methods for prompt-based query generation for diverse retrieval" (Cf. patents.google.com/patent/WO20 ) - updates a 2022 patent for a process named PROMPTAGATOR that generates queries more efficiently based on a small number of examples, as described in this research paper titled "Promptagator - Few-shot Dense Retrieval from 8 Examples" (Cf. arxiv.org/pdf/2209.11755 ). This could be used to generate query fan-outs (but query fan-out has been used in multiple systems at least since the 1990s, so there are many implementations).

"Instruction Fine-Tuning Machine-Learned Models Using Intermediate Reasoning Steps" (Cf. patents.google.com/patent/US20 ) - documents an older method for fine-tuning instructions submitted to LLMs, as described in this 2022 research paper titled "Scaling Instruction-Finetuned Language Models" (Cf. jmlr.org/papers/volume25/23-08 ). The work has been superseded by this paper titled "Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models" (Cf. arxiv.org/pdf/2305.14705 ).

This is the AI Overviews patent, titled "Generative summaries for search results" (Cf. patents.google.com/patent/US11 )

patents.google.comUS20240289407A1 - Search with stateful chat - Google Patents Implementations are described herein for augmenting a traditional search session with stateful chat—via what will be referred to as a “generative companion”—to facilitate more interactive searching. In various implementations, a query may be received, e.g., from a client device operated by a user. Contextual information associated with the user or the client device may be retrieved. Generative model (GM) output may be generated based on processing, using a generative model, data indicative of the query and the contextual information. Synthetic queries may be generated using the GM output, and search result documents (SRDs) may be selected. State data indicative of: the query, contextual information, one or more of the synthetic queries, and the set of search result documents, may be processed to identify a classification of the query. Based on the classification downstream GM(s) may be selected and used to generate one or more additional GM outputs.

🧠 Mentre fino alla settimana scorsa #AI Mode di Google presentava le fonti con link senza parametri e con attributo "noreferrer", oggi la situazione è già cambiata.
👉 Iniziano a comparire i text fragment ("#:~:text=" - come su #AIOverviews) e i link non sono più "noreferrer".
✨ Vedremo quale sarà la versione definitiva. 

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✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomar 

🧠 #AIOverviews e #AIMode. Leggo diversi post che affermano che i progetti in cui c'è stato un lavoro strutturato sui contenuti sono presenti nelle risposte generate senza sforzi ulteriori. 

👉 Questo è normale. Alcune considerazioni: linkedin.com/posts/alessiopoma

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✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomar 

So now that everyone is so angry at #google they're just going to take their Websites and go home, you can still let other search engines crawl your sites and use them to search the Web.

* Brave (via some mysterious unnamed crawling process, AI summaries are optional)
* DuckDuckGo (via Bing w/o AI summaries)
* Ecosia (via Bing and Google w/o AI summaries)
* Naver (Korean search engine)
* Qwant (via Bing)
* Seznam (the Czech search engine)
* Yandex (the English version of the search engine everyone now hates more than Google)

If YOU use these search engines, you'll realize that OTHER PEOPLE use them, too. More importantly, you can make them more popular just the way you made Google more popular than Hotbot, Altavista, Lycos, et. al, 20 years ago. It comes down to what YOU choose to do. Search engines don't magically become popular. They need people to use them and provide them with content.

If you're not happy with your relationship with Google, there are other search engines out there. Build new relationships.

And you have other options, too. For details, see my collected works ...

#seo #searchengineoptimization #searchengines #webmarketing #digitalmarketing #aimode #aioverviews #ai

seo-theory.com/how-to-replace-

SEO Theory · How To Replace Your Lost Google Traffic
More from Michael Martinez

Esto que comentan de #RedDePeriodistas es una mala noticia para el
#Periodismo actual pero abre una ventana de oportunidad para el futuro.
reddeperiodistas.com/google-la

Ha llegado la hora de retomar el control de la presencia online. Difundir en redes abiertas como Mastodon y que no te vayan a cambiar el algoritmo (aquí no hay!) de la noche a la mañana es el primer paso. Pero se pueden hacer muchas más cosas

Las #AIOverviews de un buscador mezclan fuentes y eso irremediablemente merma la calidad, porque no todas las fuentes serán igual de solventes. Los medios tienen que convertirse en la #FuenteDeReferecia para la #actualidad igual que la #Wikipedia lo es para los datos "enciclopédicos". Para que este plan funcione necesitan hacer lo siguiente:
- Mejorar sus motores de búsqueda internos y (re)indexar correctamente las noticias. Esto lo hace la IA bastante bien. Que usen Langchain. Añadir filtros por fecha, por fuente, etc. No mostrar cosas de hace dos años porque en su momento tenía un montón de enlaces al tema del momento.
- Formatear mejor sus artículos: si alguien va buscando un dato, no se lo escondas en un párrafo. Pon una ficha al lado con una lista de datos clave. Y gráficos, muchos, bien hechos poner los datos en contexto.
- Hacer su trabajo bien, ser fiables. Autoevaluar la confianza en sus contenidos: información de primera mano, de agencias, etc. Con colores si hace falta.

Con estos mimbres, no sería descabellado que alguien busque informarse sobre lo que está pasando usando el buscador de El País en vez de usar Google para que los primeros resultados sean ElMundo y La Razón.

#RedDePeriodistas · Google lanza AI Overviews en España. La IA sobre el buscador llega a Europa. Alerta roja en el SEO | #RedDePeriodistasGoogle lanza AI Overviews en España. La IA de Google sobre el buscador llega a Europa. Alerta roja en el SEO entre los responsables de los medios digitales.

"If this same incorrect or controversial information simply appears in its web results, those ideas are presented as the views of their authors only and #Google is simply playing the part of librarian. However, the #AIOverviews section is presented as the voice of Google speaking directly to the user and benefits from all of the #trust users have placed in the company during its 25-year history."

tomshardware.com/tech-industry

Tom's Hardware · 17 cringe-worthy Google AI answers demonstrate the problem with training on the entire webBy Avram Piltch