Tuesday, May 28, 2024

AI Overviews And Its Impact On Organic Search Traffic: Should We Be Worried?

  • 42% of queries in the health vertical showed AI Overviews (AIOs).
  • There was a very strong correlation (0.917) between sites appearing in the top 10 organic results and those cited in AIOs. In simpler terms, websites that perform well in organic search are more likely to be featured in AI Overviews.
  • A strong negative correlation (-0.61) was found between cited URLs in AIOs and changes in organic traffic. Meaning that as the frequency of citations in AIOs increases, there is a corresponding decrease in organic traffic to those cited URLs.
  • When AIOs appeared but a site wasn't cited, there was an average loss of -2.8% organic traffic.
It’s been close to 14 days since we saw search engine giant Google launch AI Overviews (AIOs). The rollout was not all positive and faced backlash from publishers and users who feared the worst was yet to come.

Now, experts are sitting down to determine what impact it can have, if any, on organic traffic and if the fear of implications wreaking havoc is really true or not.

Remember, it always helps to see what outcome can result from a new endeavor, especially in those cases where misinformation reports are on the high, not to mention harmful recommendations peaking as we speak.

Can they affect organic traffic to the extent that quick replies to users’ prompts end up doing more harm than good? We feel there might be a small possibility that AIOs roll out greater traffic to certain cited sites.

This particular study conducted by Kevin Indig based on ZipTie data crawled search results on 1675 questions of the health domain to see when and how the search engine giant displays AI Overviews. This was combined with data from Search Console to determine the implications it had and the influence backlinks bring forward in terms of domain traffic.

The greater rates are justifiable because Google mentioned how displaying overviews for complex questions is more likely to take place in the health domain than in e-commerce.

There was a weak relationship with words count that indicated longer questions triggering more overviews. Still, to see the figures is just overwhelming considering how this is health where getting wrong data can be deemed to be a serious risk.

There was no relationship reported for the difficulty of keywords or even search volume. But we do feel this domain tends to be cited more frequently when questions are simpler.

It was similarly noted how overviews pop up on those People Also Ask pages, featured snippets, or even discussions and forums modules. It all makes a lot of sense as these point to informational searches. There were no correlations found between top ads and knowledge panels but they were less frequent than usual Search Engine Results Page features.

The question is who pops up in these AI Overviews? In this study, 704 AI-based answer cited 4,493 websites which is close to 6.3 links per overview.

There’s a strong correlation between websites that pop up in the top 10 organic results and websites cited across overviews. Another interesting point worth mentioning is how no strong links between domains getting many overview citations and their respective organic traffic were seen. The same was the case with backlinks and ranking keywords.

Any page that ranks well for keywords is more than likely to get cited across AIOs but it’s not clear when the search engine giant would cite a webpage that does not rank well for a particular keyword.

Now the main part is worth discussing. Can these AI Overviews affect organic traffic or not?

For this comparison, organic clicks arising from the Search Console for a certain domain across 1675 non-branded keywords were used in week 7 and compared to that in week 14. When you exclude those terms having low traffic, 560 overviews showed up for various keywords.

The conclusion is that a very strong negative correlation was discovered between URLs cited and those linked to traffic change. This indicated how overview citations send out fewer clicks to URLs cited.

However, the results do tend to vary by the intent of the user. Most of these URLs lose out on clicks, thanks to these overviews. Similarly, it’s quite comparable to the likes of Featured Snippets that sent fewer or more clicks depending on which keyword is being used.




To conclude, strong SEO performance appears to be the best means by which you can pop up across AI Overviews. Even if Google cites URLs that are not doing great, it does not matter. But with that being said, we are still in the dark in terms of which content features make it likely that it would get cited for the AI-powered overviews.

As a whole, AI Overviews have a stronger impact than the usual Google Search. It’s the first AI rollout that greatly alters the cash cow for the company.

Read next: AI Tool Usage Declines Among Creators in 2024, Survey Finds
by Dr. Hura Anwar via Digital Information World

ChatGPT’s Fate In The EU: Data Protection Taskforce Reports Preliminary Conclusions On Privacy Compliance

It’s been close to a year since we saw the EU allocate a task force designed to oversee the workings of OpenAI’s popular ChatGPT tool.

The goal was to see how the EU’s rulebook applies to the viral chatbot and from what has been published so far regarding preliminary findings, we can confirm that things are mostly ok in that regard but there are still a host of legal issues which continue to remain undecided.

This includes lawfulness as well as fairness arising with OpenAI’s processing.

These issues might seem tiny but they’re pivotal because many are deemed to be confirmed violations of the overall privacy regime. As a result, they can go up to 4% of the worldwide yearly turnover penalty.

Similarly, watchdogs could order for non-compliant processing to come to an end. So to put it simply, the company is really getting tasked in the sense that a regulatory risk does exist where laws are allocated for the AI domain but they’re still far from getting operational.

A certain amount of clarity is necessary from the data protectors of the EU regarding data protection laws that apply to tools like ChatGPT. The bet is safe in terms of giving OpenAI empowerment so that it can carry on with usual operations daily, despite a huge number of issues arising in the tech sector that violate different aspects of the GDPR.

For instance, the investigation linked to Poland’s DPA opened up complaints regarding the chatbot of a certain individual and then refused to fix the errors. Another issue was rolled out in Austria. So a lot of such issues mean saying hello to less enforcement.

The GDPR is a law that is applicable when companies engage in data collection of users where personal information gets processed. It’s a very common behavior from Large Language Models including ChatGPT. They’re scrapping data from the web for training purposes like siphoning certain posts across social media apps.

The regulations also empower DPAs to file laws to stop non-compliant processing of data from taking place. So as one can imagine, it’s a powerful endeavor for sharing how AI giants could function in the region when GDPR enforcers start opting to pull it.

We did get a taste of that from last year when lawmakers in Italy advocated against the tool on this front and banned it from processing the user data of locals. This resulted in a temporary shutdown of the service across the nation.

ChatGPT continued with operations across Italy after changes were done to data and controls given to users as a long list of demands offered by the DPA. But it was still under the shadow of a huge cloud of how it can function across the EU.

To put it simply, if you wish to have a tool that processes the data of users, you need to get the legal basis sorted out for that framework to ensure continuous operation. If not, then sadly there’s no room for you.

This particular report is bringing to light another very integral point. It discusses how the platform requires legal validation for data processing. From pre-processing to training and the final output too - there is a lot to consider to deem ChatGPT as lawful in its behavior.

Coming down to fairness and transparency, the GDPR has made it so clear that these aspects are not an option. They must be complied with by OpenAI and no arguments on this front could be accepted.

As far as transparency is concerned, the task force mentions how OpenAI needs to make use of exemptions that notify people regarding data collection about them.

Image: DIW-Aigen

Read next: Global Startup Rankings: The Top Cities to Watch
by Dr. Hura Anwar via Digital Information World

Monday, May 27, 2024

Global Startup Rankings: The Top Cities to Watch

Pitchbook's rankings spotlight the premier cities worldwide for startups, where vibrant ecosystems and ample funding opportunities fuel entrepreneurial dreams.

Whenever we talk about a startup in a city, it is important that the city should have a decent number of venture capitalists, community of founders, and tech workforce. For the rankings, each city was analyzed from the maturity of their start-up in a six-year time which ended in Q2 of 2023. So, according to these rankings, San Francisco is the top city in the world with $427.6 billion capital which was raised in the last six-years. It has a development score of 89.5.

The second best startup city in the world is New York, Followed by Beijing. Both cities have a development score of 76. New York raised $179.9 billion capital in the six years while Beijing raised $161.2 billion in capital. New York is a home to many popular companies like SkillShare and Hugging Face which are well-known examples for a startup. Beijing, which is a city in China, is home to ByteDance which is a parent company to TikTok. This company is one of the most valuable companies in the world right now. Another city from China, Shanghai, is also in the top five best startup cities in the world. Most of the startups in China are fully funded by the government and are based on hard tech.

Pitchbook ranks San Francisco as top startup city with $427.6B raised, New York and Beijing follow closely.

Other startup cities in the top ten list of best startup cities in the world include Los Angeles, Boston, London, Shenzhen, Seoul and Tokyo. It is seen that most countries in the top twenty are from China and the USA. Singapore is also set to becoming a tech startup hub for many companies. It is the fourteenth best city for a startup in the world with a development score of 52. A good $45.7 billion capital was raised in Singapore in just six years and it has an impressive venture funding of $1060 per person.

City Development score Capital raised (in billion) Growth score Deal count Exit value (in billion)
San Francisco 89.5 $427.6B 28.2 19,898 $766.3B
New York 76 $179.9B 41.5 13,594 $171.7B
Beijing 75.6 $161.2B 15.4 8,835 $279.2B
Shanghai 72.9 $130.3B 26.5 7,422 $186.8B
Los Angeles 71.40 $144.6B 39.9 9,781 $181.4B
Boston 70.40 $117.0B 34.8 6,044 $172.8B
London 64.00 $99.0B 38.8 11,533 $71.9B
Shenzhen 62.70 $46.4B 45.3 5,020 $66.3B
Seoul 61.1 $31.1B 52.1 6,196 $71.0B
Tokyo 60.20 $26.2B 66.6 5,590 $28.0B
Hangzhou 59.10 $50.7B 20.5 3,361 $88.7B
Washington D.C. 54.70 $43.7B 61.7 2,706 $28.2B
Seattle 53.5 $31.7B 26.3 2,693 $35.6B
Singapore 52.20 $45.7B 74.8 4,507 $38.0B
San Diego 52.00 $33.5B 35.5 2,023 $44.7B
Austin 51.80 $26.4B 46.6 2,636 $22.9B
Guangzhou 51.70 $24.7B 50.9 1,700 $24.0B
Tel Aviv 51.00 $21.0B 39.7 1,936 $32.2B
Denver 50.60 $26.8B 51.1 2,489 $29.9B
Berlin 50.40 $31.2B 27.9 2,469 $15.9B
Suzhou $49.7 $15.1B 49 2,207 $29.2B
Paris 49.50 $32.8B 64.4 3,677 $6.6B
São Paulo 48.6 $17.0B 46 1,685 $43.9B
Chicago 47.2 $28.8B 31.5 2,377 $11.6B
Salt Lake City 46.9 $13.1B 18.2 1,172 $24.3B
Hong Kong 46.6 $19.6B 27.8 982 $30.9B
Stockholm 44.8 $28.7B 26.1 1,775 $27.5B
Toronto 44.3 $15.2B 42.8 2,024 $7.1B
Philadelphia 43.1 $25.8B 53.2 3,014 $12.9B
Miami 42.6 $21.7B 50.3 2,216 $9.4B
Nanjing 42.4 $16.3B 58.7 1,419 $15.6B
Mumbai 42.2 $15.7B 45.1 1,767 $10.9B
Chengdu 41.8 $8.3B 59.7 1,259 $8.1B
Bengaluru 41.1 $32.2B 42.7 1,668 $17.6B
Amsterdam 40.7 $11.3B 68.7 1,176 $10.6B
Dallas 40.4 $10.8B 25.4 1,346 $12.0B
Atlanta 39 $13.1B 35.4 1,550 $6.6B
Vancouver 38.3 $6.7B 10.4 1,010 $10.0B
Changsha 37.9 $8.8B 43.3 443 $10.2B
Munich 37.6 $11.3B 48 986 $3.9B
Wuxi 37.5 $4.6B 71.8 513 $7.9B
Raleigh 36.6 $15.0B 45.6 1,075 $7.3B
Sydney 36.3 $7.8B 35.4 1,141 $5.1B
Hefei 36.1 $9.3B 86.5 735 $11.1B
Phoenix 36 $9.8B 50.1 850 $11.9B
Minneapolis 36 $11.6B 44.8 987 $16.1B
Montreal 35.9 $7.3B 37.6 768 $3.0B
Gurugram 34.9 $13.3B 29 826 $17.0B
Portland, OR 34.6 $6.1B 36.1 903 $10.6B
Houston 34.1 $9.4B 63.8 1,044 $5.1B

Source: The world’s top startup cities / pitchbook - April 18, 2024

Read next: Reputation Matters: How Hardware Giants Outshine Social Media Platforms
by Arooj Ahmed via Digital Information World

AI Tool Usage Declines Among Creators in 2024, Survey Finds

In recent times, there’s been a noticeable shift in how content creators are using artificial intelligence (AI) tools. Earlier in May, Epidemic Sound shared findings in a report, titled "Future of the Creator Economy". They conducted a survey which involved 1,500 creators who earn money from platforms like YouTube, podcasts and social media. The report revealed a decline in the usage of AI tools among the surveyed creators in 2024, when compared to 2023 data.

Although 84% of creators acknowledged using AI tools for creating content, there was a significant drop in the use of specific AI technologies. For instance, the use of image or video recognition software decreased from 64.9% in 2023 to 46.5% in 2024. Automated transcription tools and chatbots also saw a decline, dropping from 57.4% to 32.8% and 55.6% to 32.2%, respectively.

Epidemic Sound reports significant decline in AI tool usage among creators; concerns over quality and ethics rise.

The decline in usage is linked to several concerns among creators. Nearly half of the surveyed individuals were worried about the quality of AI-generated content. Concerns about originality and plagiarism were also prevalent, with 38.5% and 33% of creators respectively wary of these issues. Furthermore, about 28.7% expressed apprehensions about the ethical implications of AI, such as data privacy and proper crediting.

The changing attitude towards AI among creators was highlighted by several of them. Some have reduced their reliance on AI due to issues with accuracy, bias, and online security. One creator mentioned that using AI for generating content designs turned out to be more time-consuming than creating the ideas independently. Another creator has limited the use of tools like ChatGPT to administrative tasks, moving away from creative applications.

The impact of these concerns is also affecting jobs in creative fields. For example, one head of a production company mentioned that many are now employed to refine work initially done by AI, which has led to fewer job hours available.

Creators have various reasons for stepping back from AI. Some, particularly from underrepresented groups, feel that the lack of diversity in AI development affects the inclusivity and relevance of the tools, with some stating that the tools do not adequately reflect diverse perspectives.

This shift represents a significant turn in how digital tools are perceived and used in the creative industry, as creators balance innovation with authenticity and ethical considerations.

Read next: Can ChatGPT Be Trusted? New Study Says The Tool Offers Inaccurate Programming Replies 52% Of The Time
by Mahrukh Shahid via Digital Information World

Can A Degree In AI Set You Up For Success? This Gen Z Software Engineer Has The Best Advice

Time after time, we keep hearing one thing: AI is the next big tech, and that has many young minds wondering about one thing. Should a degree in AI be attempted? And if yes, what are the future benefits of doing so.

Well, thanks to one software engineer by the name of Sajjaad Khader, we’ve got more news on this front. He’s not only a graduate of Georgia Tech but also an undergraduate in the field of AI. So who better to ask than him, right?

He says that not all that glitters in the world of AI is gold so you might want to rethink that career decision if it involves majoring in the field. But that does not mean he’s discouraging anyone. Instead, he says those with certain capabilities should opt for the degree and others struggling in three certain areas shouldn’t.

This got us curious and we had to decipher which three attributes aren’t great for the degree. So let’s take a look!

The 22-year-old explained how he has always had a passion for software engineering since a very young age. Today, he’s got serious advice for those considering a degree in the field as his experience has taught him quite a few lessons.
In the past three years, getting his master’s meant he was ready to venture into the field but along the way, he saw many struggling with interactive intelligence. Today, he’s got a top position in a tech firm that’s based on AI.

Speaking of the competition in this field, so many universities have started to roll out degrees in this regard. A lot was dedicated to the world of AI and it was not uncommon to find diplomas, courses, and even certifications online too.

Yes, he does feel it’s worthwhile and a great degree to set forth during this moment in time. But it’s not for everyone. The field has some not-so-glamorous aspects worth a mention, he adds.
In a short video on TikTok, he shed light on who shouldn’t enter the field and why. And we think it’s a great piece of advice for obvious reasons.

For starters, if your attention span is low, this is not for you. The field tends to get boring, especially when you need months to design simulations before you see the results coming into play. And not everyone finds that interesting or can keep up. It’s a long process and a lot of patience is needed.

Secondly, those struggling with math cannot or should not think about majoring in AI. Khader explains that it’s beyond coding and a lot of courses were math-related. And one of his very first assignments had to do math galore.

From graphs and charts to numbers and letters, he calls it a very complex math discourse and it’s not for everyone, especially if this domain is your weak point. And if those great with problem-solving and analytics struggle at times, he added.

Last but not least, Khader says that those struggling with making commitments cannot be in this field because results take a really long time. You not only have to show commitment to the degree but be willing to get more than one. In the same way, you need to stay committed to the project’s vision in the long term. It would take a lot of time to attain results.

Image: Sajjaad Khader/TikTok

Just think about, waking up every four hours from our sleep to keep a check on anti-spam software that is in the development phase. Yes, it’s not for everyone and if you don’t have that kind of passion for long-term commitments, then this is not for you.

There are days when you don’t know what can happen next but to still be keen and open to learning until the right result is obtained is the goal. And as he puts it, not just physical work but mental too without getting exhausted.

A closing message from the expert himself included how a degree in AI isn’t necessary if you wish to work in the tech world. Yes, it’s one of the most trending fields today but the demand for tech jobs isn’t getting any less.
@sajjaadkhader AI and Machine Learning is NOT what you expect #ai #machinelearning #chatgpt #softwareengineer #fyp ♬ original sound - Sajjaad Khader

Read next: How Much Education Do You Need to Become a CEO?
by Dr. Hura Anwar via Digital Information World

The Happiness Chasm: What's Driving Mauritius, U.S, Canada, Uzbekistan, and China's Youth Apart from Their Elders?

The World Happiness Report ranked countries with the most unhappy youth compared to their older generations. The country with the biggest happiness gap between young and older generations is Mauritius with a difference of 57 points between those two generations. Youth is ranked at 85 in happiness rank while older adults have happiness rank of 28. The biggest reason why the youth is unhappy in Mauritius is the high unemployment rate.

The USA ranks second in the happiness gap between youth and old adults with a gap of 52 points. Older adults are ranked 10 while young people are ranked 62 in the happiness index. Canada, Uzbekistan and China ranked third, fourth and fifth with a happiness gap of 50, 49 and 49 respectively. The youth happiness rank in Japan is 73 while old adults happiness rank is 36. Mongolia has a 33 happiness ranks difference between younger and older generations. The other countries that made it to the top ten list of countries with most unhappy youth are Algeria, Libya and Singapore. These countries have happiness gap ranks of 31, 30 and 28 respectively.

Mauritius tops the list with a 57-point happiness gap between its young and older adults due to high unemployment rates.

While prevailing notion suggests that young adults below 30 points are typically the happiest, this data shows a deviation from that trend, with older generations being significantly happier than the youth. There is nothing wrong with old adults being happier than young people, but the unhappiness rate in these young people is alarming. There are different factors that are not letting young people be happy like worries about employment, wars, government policies, climatic changes, economic responsibilities and depression and loneliness after covid-19. Many young people in Canada and the USA are also worried that they will never be able to own a house because of current economic conditions. These type of worries do not let the youth be happy.

Country Youth Happiness Rank Old Happiness Rank Gap: Youth/Old
Mauritius 85 28 57
U.S. 62 10 52
Canada 58 8 50
Uzbekistan 71 22 49
China 79 30 49
Japan 73 36 37
Mongolia 86 53 33
Algeria 93 62 31
Libya 80 50 30
Singapore 54 26 28
Kazakhstan 69 42 27
Philippines 70 43 27
Laos 104 77 27
Germany 47 21 26
Spain 55 29 26
Malta 57 31 26
Bahrain 77 51 26
Kyrgyzstan 81 55 26
Mauritania 119 93 26
Chad 120 94 26
UAE 35 11 24
France 48 25 23
Brazil 60 37 23
Guinea 103 81 22
New Zealand 27 6 21
Myanmar 122 102 20
Venezuela 83 64 19
Norway 20 3 17
Jamaica 84 68 16
Nepal 92 76 16
Saudi Arabia 42 27 15
Niger 116 101 15
Madagascar 124 109 15
Sweden 18 4 14
Hong Kong 97 84 13
UK 32 20 12
Burkina Faso 117 105 12
Australia 19 9 10
Estonia 44 35 9
Bolivia 74 65 9
Türkiye 101 92 9
Liberia 113 104 9
Mali 125 116 9
Bangladesh 128 120 8
Sierra Leone 141 133 8
Uruguay 30 24 6
India 127 121 6
Egypt 130 124 6
Yemen 135 129 6
Finland 7 2 5
Belgium 24 19 5
Ireland 21 16 5
South Africa 87 82 5
Malawi 137 132 5
Denmark 5 1 4
Thailand 45 41 4
Colombia 76 72 4
Ivory Coast 100 96 4
Kuwait 16 13 3
Poland 43 40 3
Italy 41 38 3
Congo 88 85 3
Palestine 102 99 3
Tanzania 129 126 3
Netherlands 9 7 2
Russia 68 66 2
Tajikistan 89 87 2
Cambodia 112 110 2
Zimbabwe 139 137 2
DRC 140 139 1
Lebanon 142 141 1
Guatemala 49 49 0
Tunisia 118 118 0
Jordan 123 123 0
Ethiopia 131 131 0
Lesotho 138 138 0
Afghanistan 143 143 0
Iceland 4 5 -1
Switzerland 13 14 -1
Cameroon 106 107 -1
Togo 126 127 -1
Honduras 56 58 -2
Gambia 110 112 -2
Benin 115 117 -2
Eswatini 134 136 -2
Austria 12 15 -3
Comoros 132 135 -3
Vietnam 65 69 -4
Greece 53 57 -4
Indonesia 75 79 -4
Mozambique 94 98 -4
Ghana 121 125 -4
Iraq 90 95 -5
Sri Lanka 123 128 -5
Luxembourg 6 12 -6
Costa Rica 11 17 -6
Cyprus 51 57 -6
Zambia 136 142 -6
Chile 39 46 -7
South Korea 52 59 -7
Malaysia 64 71 -7
Iran 96 103 -7
Botswana 133 140 -7
Taiwan Province of China 25 34 -9
Namibia 105 114 -9
Peru 63 73 -10
Kenya 109 119 -10
Mexico 22 33 -11
Argentina 34 45 -11
Senegal 99 111 -12
Czechia 10 23 -13
Georgia 78 91 -13
Azerbaijan 95 108 -13
Dominican Republic 61 75 -14
Gabon 91 106 -15
Morocco 98 113 -15
Pakistan 107 122 -15
Israel 2 18 -16
Kosovo 23 39 -16
Armenia 72 88 -16
Slovenia 15 32 -17
Portugal 46 63 -17
Nicaragua 28 47 -19
Latvia 31 51 -20
Slovakia 38 60 -22
Nigeria 108 130 -22
Uganda 111 134 -23
Ecuador 59 84 -25
Panama 26 56 -30
North Macedonia 67 98 -31
Ukraine 82 115 -33
Hungary 36 70 -34
Albania 66 100 -34
El Salvador 17 52 -35
Bosnia & Herzegovina 33 68 -35
Romania 8 48 -40
Lithuania 1 44 -43
Paraguay 37 83 -46
Montenegro 50 97 -47
Bulgaria 40 90 -50
Serbia 3 54 -51
Moldova 29 86 -57
Croatia 14 80 -66

Read next: From Abstract to Urban: A Guide to Understanding Artistic Styles

by Arooj Ahmed via Digital Information World

Sunday, May 26, 2024

Can ChatGPT Be Trusted? New Study Says The Tool Offers Inaccurate Programming Replies 52% Of The Time

The world of AI has really transformed the tech sector and that means our lives might not be the same again.

Thanks to tools like ChatGPT, Gemini, and Copilot, we’re seeing answers to questions get generated at the speed of light. And most of us go about believing everything we read, without understanding how erroneous they could be.

This is all in regards to a new study on OpenAI’s ChatGPT where we got a better and up-close look at whether or not the feature can be trusted and if yes, to what degree. But we wouldn’t be lying if we said the stats gave us a scare.

ChatGPT and all the other leading AI assistants are hailed for providing replies to the likes of coding and programming very quickly, and that means the speed supersedes that linked to humans today.

All you do is give the prompt and get a reply quickly but thanks to the latest research on this front, you shouldn’t be putting a lot of trust as the majority of replies feature wrong data linked to programming queries.

The news comes from a study carried out this month which was unveiled at Computer Human Interaction Conference. This is where a team of researchers arising from Purdue University checking a series of questions that were received as prompts to the popular AI tool.

They got back replies that were wrong, 52% of the time. Additionally, a staggering 77% of the answers were found to be overly verbose. Now that means if you have been relying on ChatGPT like AI tools to give out programming-related data, you may wish to think twice.

We agree that not all AI can be trusted all the time, but there are some serious mistakes with a high probability. Any AI chatbot that gives you wrong answers so frequently must be shunned and if not, then used with careful double-checks because the probability of things going wrong is just too high.

Experts at Perdue stated how human programmers are so much more reliable and therefore a better preference over ChatGPT. This is why they are even the first choice for 35% of the population and that needs to increase if you want correct information.

Humans are more expressive, and comprehensive in terms of details, and also tend to roll out replies in the most articulated language style imaginable. What is worse than this is how the study proved that human programmers were not able to detect 39% of the time that the replies rolled out were indeed false and filled with errors.

It’s a serious wakeup call we feel and this is just one study that has unraveled some worrisome findings. It does prove how generative AI bots continue to make serious mistakes and how humans might not be capable of catching them.

AI Overviews from Google were put into place across the US for Search at the start of May. They have been producing some of the most strange and error-filled summaries to search for a while now.

But the search giant refuses to accept them as serious mistakes and therefore goes about calling them rare occasions and isolated examples. They feel the replies that are bizarre or so-called classified as dangerous are mostly linked to uncommon questions. They do not represent the majority of people’s experiences.

Moreover, Google boasted how most of the time, users are getting high-quality replies and links that enable them to carry out searches on a deeper level than before. But it is still investigating the matter and is thankful for all the feedback on this front.

Image: DIW-Aigen

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by Dr. Hura Anwar via Digital Information World