Technology
Why RAG won’t solve the AI generative hallucination problem

Hallucinations – essentially the lies that generative artificial intelligence models tell – pose an enormous problem for firms seeking to integrate the technology into their operations.
Because models haven’t any real intelligence and easily predict words, images, speech, music, and other data in keeping with a non-public schema, they often get it mistaken. Very bad. In a recent article in The Wall Street Journal, a source cites a case through which Microsoft’s generative AI invented meeting participants and suggested that conference calls covered topics that weren’t actually discussed during the call.
As I wrote a while ago, hallucinations could be an unsolvable problem in modern transformer-based model architectures. However, many generative AI vendors suggest eliminating them roughly through a technical approach called search augmented generation (RAG).
Here’s how one supplier, Squirro, he throws it: :
At the core of the offering is the concept of Recovery Augmented LLM or Recovery Augmented Generation (RAG) built into the solution… (our Generative Artificial Intelligence) is exclusive in its promise of zero hallucinations. Each piece of knowledge it generates is traceable to its source, ensuring credibility.
Here it’s similar tone from SiftHub:
Using RAG technology and fine-tuned large language models and industry knowledge training, SiftHub enables firms to generate personalized responses without hallucinations. This guarantees greater transparency and reduced risk, and instills absolute confidence in using AI for all of your needs.
RAG was pioneered by data scientist Patrick Lewis, a researcher at Meta and University College London and lead writer of the 2020 report paper who coined this term. When applied to a model, RAG finds documents which may be relevant to a given query—for instance, the Wikipedia page for the Super Bowl—using keyword searches, after which asks the model to generate a solution in this extra context.
“When you interact with a generative AI model like ChatGPT or Lama and ask a question, by default the model responds based on its ‘parametric memory’ – i.e. knowledge stored in its parameters as a result of training on massive data from the Internet,” he explained David Wadden, a research scientist at AI2, the artificial intelligence research arm of the nonprofit Allen Institute. “But just as you are likely to give more accurate answers if you have a source of information in front of you (e.g. a book or file), the same is true for some models.”
RAG is undeniably useful – it lets you assign things generated by the model to discovered documents to ascertain their veracity (with the additional advantage of avoiding potentially copyright-infringing regurgitations). RAG also allows firms that don’t need their documents for use for model training – say, firms in highly regulated industries comparable to healthcare and law – to permit their models to make use of these documents in a safer and temporary way.
But RAG actually stops the model from hallucinating. It also has limitations that many providers overlook.
Wadden says RAG is best in “knowledge-intensive” scenarios where the user desires to apply the model to fill an “information need” – for instance, to search out out who won the Super Bowl last 12 months. In such scenarios, the document answering the query will likely contain lots of the same keywords as the query (e.g., “Super Bowl,” “last year”), making it relatively easy to search out via keyword search.
Things get harder for reasoning-intensive tasks like coding and math, where in a keyword-based query it’s harder to find out the concepts needed to reply the query, much less determine which documents is perhaps relevant.
Even for basic questions, models can grow to be “distracted” by irrelevant content in the documents, especially long documents where the answer isn’t obvious. Or, for reasons still unknown, they could simply ignore the contents of recovered documents and rely as a substitute on their parametric memory.
RAG can be expensive when it comes to the equipment needed to deploy it on a big scale.
This is because retrieved documents, whether from the Internet, an internal database, or elsewhere, have to be kept in memory – at the very least temporarily – for the model to confer with them again. Another expense is computing the increased context that the model must process before generating a response. For a technology already famous for the large amounts of computing power and electricity required to even perform basic operations, this can be a serious consideration.
This does not imply RAG cannot be improved. Wadden noted many ongoing efforts to coach models to raised leverage documents recovered using RAG.
Some of those efforts include models that may “decide” when to make use of documents, or models that may opt out of search first in the event that they deem it unnecessary. Others are specializing in ways to index massive document datasets more efficiently and to enhance search through higher representations of documents—representations that transcend keywords.
“We’re pretty good at retrieving documents based on keywords, but we’re not very good at retrieving documents based on more abstract concepts, such as the checking technique needed to solve a math problem,” Wadden said. “Research is required to construct document representations and search techniques that may discover suitable documents for more abstract generation tasks. I feel it’s mostly an open query at this point.”
So RAG may help reduce models’ hallucinations, however it isn’t the answer to all hallucinatory problems of AI. Beware of any seller who tries to say otherwise.
Technology
The signal is the number one application in the Netherlands. But why?

The application signal for sending a privacy -oriented message flew high in Dutch application stores last month, often sitting at the top as the most steadily downloaded free application for iOS and Android in all categories, for data from many application tracking platforms akin to the sensor tower.
The application has experienced popularity over the years, often in response to Changes in politics in rivals akin to WhatsApp Or Geopolitical events. This is because Signal has set a reputation as a more friendly privacy option-it is served by the non-profit foundation (though based in the USA), not a personal company focused on data earning data. In addition, the signal tracks minimal metadata.
In 2025, along with the recent US president, who strengthened the warm Big Tech hug, it is not surprising that digital privacy tools have a moment – especially in Europe, which attracted the anger of President Trump.
But this time, the meaning of the signal in one very specific place-Holandia is particularly eye-catching.
IN Interview with Dutch newspaper de Telelegraaf last week, President signal Meredith Whittaker He noticed that the number of “new registrations” in the Netherlands was 25 this 12 months, even though it is not clear what the exact comparative period for this data is.
Asked why the Netherlands recorded such development, Whittaker pointed to the combination of things: “growing awareness of privacy, distrust of large technology and political reality in which people realize how sensitive digital communication can be,” said Whittaker.
Data provided to TechCrunch from the application intelligence company Appfigures Increase in Signal Signal in the Netherlands. According to its data, the signal was 365. Among the applications apart from the iPhone in the Netherlands on January 1 and didn’t appear on the list of the most significant general applications. Then, from around January 5, he began to climb the rankings, reaching the highest position until February 2.
The signal immersed and comes out of the lead during weeks, spending around mid -February at the top – including every single day from February 22. By digging deeper into the data, the AppFigures estimates that the total download in Apple and Google Applets in total in December 2024 jumped to 99,000 in January and increased to 233,000 to February – 958%.
While a part of this height could be assigned to a lower saturation signal than other markets, a continuing application position at the top in comparison with neighboring markets of comparable size.
“No other markets are approaching the Netherlands in terms of growth between December and February,” said AppFigures Techcrunch.
For comparison, from December in Belgium, download increased by over 250%, Sweden by 153%and dishes by 95%.
So why the signal can experience what one redditor called “The moment of mass adoption“In the Netherlands?
Clear signal
Give ZengerSenior Policy Advisor at Dutch Digital Rights Foundation Fragments of freedomHe said that even though it is difficult to point one specific reason, he is not surprised.
The last changes in the US have seen Large platform suppliers Adapt with the recent Trump administration, and this has retained a major public and media debate. Relying Europe from the technology of big private American corporations has turn out to be the point of interest of this debate.
“The Dutch are, like many others, very dependent on the infrastructure provided by extremely dominant technology companies, mainly from the USA,” said Zenger. “What does this mean, and the risk that results from it has been nicely demonstrated in the last few weeks. As a result, the public debate in the Netherlands was relatively sharp. Where in the past this problem was discussed only at the level “:” I feel that we are now conducting a debate at the higher levels: “.
In this context, society can mix dominance with data protection abuse. Since corporations akin to meta are frequently studied and fined in the field of information privacy practices, the signal could appear to be less evil: it is based on the US, but supported by a non-profit organization, which ensures encryption of each the content of the message and around it.
Vincent BöhreDirector of the Dutch Organization of Privacy Privacy firstHe also pointed to increased media relationships and a wider change of public opinion.
“Since a few months ago he was re-elected in the United States, in the Dutch-and European media, which seem to support Trump, there were many” Elon) Muska. “Articles criticizing X (previously Twitter) and Meta appear everywhere in the Dutch media, which leads to a change in Dutch public opinion: even people who have never really known or cared for privacy and security in social media, suddenly became interested in” friendly privacy “alternative, in particular the signal.”
Signal of intentions

While the Netherlands is only one market of 18 million people in the European population over 700 million, its increase in adoption can signal a wider trend throughout the continent, especially when governments try to cut back privacy barriers.
For example, Apple has recently pulled out comprehensive encryption from iCloud in Great Britain to counteract government efforts to put in a backdoor.
Speech Fr. Rightcon 25 In Taiwan, this week, Whittaker confirmed the unwavering Signal attitude regarding privacy.
“Signal position on this subject is very clear- we will not walk, falsify or otherwise disturb the solid guarantees of privacy and security that people rely on” Said Whittaker. “Regardless of whether this disturbance or backdoor is called scanning on the client’s side or removing the protection of encryption against one or the other, the features similar to what Apple has been forced to do in Great Britain”
Separately, in Interview with Swedish public broadcaster, Whittaker said that Signal wouldn’t follow the proposed Swedish law requiring application to send messages for storage.
“In practice, this means asking us to break encryption, which is the basis of our entire activity,” said Whittaker. “Asking us to store data would undermine all our architecture and we would never do it. We would prefer to completely leave the Swedish market. “
TechCrunch contacted to signal a comment, but he didn’t hear during the publication.
(Tagstotranslat) signal of the Netherlands
Technology
Gayle King announces participation in the space mission of all women

Gayle King will join the thirty first Blue Origin civil flight into space.
Gayle King announced that he was going to space. The host of the talk show during the day provided messages CBS MORNINGS.
King revealed Her participation in the thirty first Blue Origin flights, NS-31. Before discussing the details of the mission, she and her co -lecturers presented the video editing, which described her long -term fascination with travel travel.
In one clip, King said: “I am excited to watch the premiere at home in my pajamas.”
Her enthusiasm led to an invite with Blue Origin. The television personality will disappear from Crew from the whole familyIncluding an award -winning journalist Lauren Sánchez, award -winning Grammy singer Katy Perry and astronaut Aish Bowe.
Soon the explorer of the space admitted that she was hesitating at first.
“I don’t know how to explain at the same time terrified and excited,” said King.
To make a choice, King turned to a gaggle of family members, including her children and a detailed friend, Oprah Winfrey. She said that when her most trusted confidants approved, she was ready.
“When Kirby, Will and Oprah were fine, I was fine,” said King. “I thought Oprah would say no. She said: “I feel that when you don’t do it, if you all come back and also you had the opportunity to do it, you’ll kick.” She is right. “
King is not going to be the first television host who wandered into space with blue origin. In 2021, then-Good morning America Coheat Michael Strahan took part in the third civil flight Blue Origin. The former NFL star and the sender was delighted after returning, expressing how this experience gave him a brand new “perspective” in the world.
“I want to come back,” said Strahan.
Blue origin, Founded by Amazon Billionaire Jeff Bezos in 2000 is a non-public aviation company that focuses on sharing space travels for civilians and developing technology to explore the space long.
The upcoming flight of the king New Shepard It will probably be part of Blue Origin’s constant efforts to normalize civil space travel.
Technology
Instagram can turn the rollers in a separate application

Meta is occupied with an independent application for brief movies, Information He informed, citing an anonymous source, which he heard the boss on Instagram Adam Mosseri talked about the personnel project.
The project is reportedly called RAY code, which goals to enhance recommendations for brand new users and existing users in the US and to conclude one other three minutes of movies, the report quoted the source.
The finish line didn’t answer immediately at the request for comment.
Last month, the company announced a video editing application called Edyta to compete with Capcut (belonging to Tiktok Matter Company Bytedance) since it was geared toward using the uncertain future Tiktok and Bytedance in the USA
Currently, the Instagram channel is a mixture of photos, movies (drums) and stories. However, many users imagine that the application has been cluttered since it incorporates movies and not persist with the roots as an application for sharing photos. If the company rotates in an independent application for brief movies, it can create a possibility for Instagram to emphasise other functions.
Instagram began at the starting of this yr paying creators To promote Instagram on other platforms, resembling Tiktok, Snapchat and YouTube. Apparently he also began to supply Big money for the creators Present only on roller skates.
(Tagstranslate) Instagram
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