A media report claims that when Lip-Bu Tan, Intel’s new CEO, takes charge this week, he is ready to make “tough decisions” like layoffs and a major overhaul of the company’s artificial intelligence policy. In an effort to revitalise the faltering tech giant, which recorded a $19 billion deficit in 2024—its first annual loss since 1986—the 65-year-old former CEO of Cadence wants to address what he sees as a “bloated middle management layer” while modernising manufacturing operations and AI programs. According to individuals briefed on the meeting, Tan told staff members that tough decisions would need to be made during a recent town hall meeting. According to semiconductor specialist Dylan Patel, Pat Gelsinger, the former CEO, was “too nice” and hesitant to fire middle management when necessary.
The New Business Strategies of Intel
One of Tan’s main goals is to revamp Intel Foundry, which currently manufactures chips for outside customers like Nvidia. The company wants to aggressively pursue new clients while restarting manufacture of AI server chips and expanding into software, robotics, and AI foundation models. Tan left the board of Intel last August due to disagreements with the company’s leadership, but he later returned as CEO after ten years of mistakes that saw Intel lose out on opportunities in AI processors and smartphones, letting Arm Holdings and Nvidia take the lead in these markets. His plan seems to be an improvement on Gelsinger’s original plan, which aimed to turn Intel into a contract chip maker competing with Taiwan Semiconductor Manufacturing Co., rather than a radical departure from it.
Future of Intel’s Business
Strong sales of Intel’s upcoming Panther Lake chips, which will have AI capabilities and make use of the company’s new “18A” manufacturing technique, are crucial to the company’s financial recovery this year. Industry watchers believe Intel’s contract manufacturing unit might succeed if Tan wins at least two significant customers. According to reports, Nvidia, Broadcom, and Advanced Micro Devices are expressing interest in Intel’s enhanced production techniques, which could indicate that Tan’s recovery efforts are getting off to a good start.
More Focus on AI Chip Manufacturing
Tan principally wants to focus on increasing Intel’s chip-making division. Previously, the tech company only produced its own chips, but now it also produces them for Nvidia and other businesses. Tan wants to strengthen this aspect of the company and attract more clients. He also aims to increase Intel’s AI initiatives. In the development of AI chips, the company has lagged behind rivals such as Nvidia. Tan aspires to revive Intel’s AI initiatives and diversify into fields such as robotics, software, and intelligent AI systems.
GPT-4, the new upgraded version of OpenAI’s large language model (LLM), is finally here. It is a renewed and exciting development in natural language processing, and it has the potential to significantly improve the way humans interact with computers and artificial intelligence.
Like its predecessor GPT-3.5, it also can generate texts and creative content when prompted by a user. The evolution of generative AI is unquestionably faster than our evolution which ironically took millions of years, but who’s counting?
Organizations like Microsoft, OpenAI, Midjourney, Google, IBM, and many more realize the infinite potential artificial intelligence (AI) has, and that is why they are all willing to bet big. OpenAI and Microsoft, in 2019, formed a 1B USD partnership to strengthen OpenAI’s Artificial Intelligence development and scale its deep learning efforts.
Furthermore, Google, in its I/O developer conference in May 2021, announced a new language model called “LaMDA”— which is short for Language Model for Dialogue Applications. LaMDA is a new conversational AI model designed to have more natural and engaging conversations with users, just like ChatGPT. Fast forward to 2023, and now we have Google’s conversational AI chatbot “BARD” which is also capable of doing everything ChatGPT can do, but what makes Google’s Bard different is the fact that it is developed by Google, exposed to a larger dataset of text and code, improving its trust quotient amongst the general public.
OpenAI claims its new upgraded version of GPT (Generative Pre-trained Transfer), GPT-4 is much more capable than GPT-3.5— usually, that is what an upgrade means. So, let’s see the 5 key differences between the GPT-4 and its predecessor.
From first GPT-1 in 2018, which could generate human-like text output, to GPT-2 in 2019, where the AI is capable of producing longer and more complex text pieces, and then GPT-3 in 2020, longer and even more creative, sophisticated texts in paragraphs, OpenAI has made significant progress in a very short time. The latest GPT-4 is presumed to be more creative in its response than previous versions, including GPT 3.5.
OpenAI claims that GPT-4 is highly proficient at generating and working with users on creative projects like music composing, technical writing and editing, screenplays, and even understanding a user’s unique writing style. And that is a significant improvement over GPT-3.5.
GPT-4 is more Creative than GPT-3.5
If you ask it to narrate a movie plot creatively, it will not disappoint you.
Visual Input Made Possible
GPT-4 is also unique in its ability to process visual input, which was missing in GPT-3.5. It can now accept an image as input to generate a logical and comprehensive response. It can create captions, classifications, and analyses as well.
For instance, in one example provided by OpenAI, the chatbot is given an image of baking ingredients and is asked what can be made with them, and to my surprise, it does come up with a response. That is quite interesting if you ask me. I also like Google’s image search response, but it is much more intelligent.
GPT-4 Response to an Image
However, it is not clear if video can also be used in the same way.
More Text
Yes, more text. The new GPT-4 can take more text as input than ChatGPT, which is based on GPT-3.5, to generate a more comprehensive, complex, and contextual response. According to OpenAI, the newer version, GPT-4, can take 25000 words, approximately 8 times more words than ChatGPT, that can be used to create more useful, longer, and analytical content. You can write reports, papers, and much more.
GPT-4 – Longer Context
Advance Reasoning Capabilities
Another incredibly important factor– a fundamental difference between GPT-4 and GPT-3.5– is advanced reasoning abilities. GPT-4 is trained on a larger dataset of text and code, allowing it to analyze human input more logically and present a more cohesive, resolute, and human-like output.
The Difference Between GPT-3.5 and GPT-4
One example that OpenAI cites is a logical aptitude-based question where people have only a half-hour common window to meet, and it is asked to suggest the common window. GPT-4 comes up with the correct response in a single-line answer without any unwanted gibberish, which is fascinating.
GPT-4 – Advanced Reasoning Capabilities
Apart from that, it has immense potential in the field of education. It is like a teacher a fifth grader struggling with mathematics never had. It can solve algebra equations, draw coordinates and graphical representations of equations, and more.
Additionally, OpenAI claims that GPT-4 can outsmart humans on many tests created for humans. It has outscored many students in standardized tests like SAT and such.
More Safe And Accurate
OpenAI claims that GPT-4 is also trained to provide a safe and more accurate experience than before.
As per OpenAI, “GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5,” as internally evaluated.
So, there is a fair chance that if you ask for something that it considers inappropriate, it won’t respond. But it also raises a pertinent issue about what it considered as “disallowed content’’, what should be ‘banned’ on this platform, and what shouldn’t— but is for another day.
Conclusion
It is clear by now that the capabilities of GPT-4 surpass those of its predecessor GPT 3.5. It can process longer prompts and engage in extended conversations while demonstrating an ability to recognize and respond to emotions conveyed through text. Moreover, GPT-4 excels in understanding and producing diverse dialects and can even analyze and provide feedback on images and graphics. It is capable of logically interpreting visuals like images. However, it is not clear, as of now, if it can interpret video inputs as well.
Additionally, GPT-4 is more accurate and less prone to factual errors than GPT-3.5. It can generate text consistent with the given prompt while being more creative, producing original and captivating text that is engaging as well as persuasive at the same time. Its efficiency is also quite impressive as it generates text at a faster pace and with fewer instances of crashing or memory overload.
GPT-4 is more accessible and affordable, allowing more individuals to utilize its capabilities while being more transparent and open with its code available to the public and developers receptive to feedback. It embodies a sense of optimism and represents the potential of artificial intelligence to transform the world.
FAQs
What are the major differences between GPT-3.5 and GPT-4?
Here are the 5 key differences between GPT-3.5 and GPT-4 –
GPT-4 is more creative
GPT-4 made visual input possible
GPT-4 accepts a longer context
GPT-4 has advanced reasoning capabilities
GPT-4 is more safe and accurate
How many words can GPT-4 take as per OpenAI?
GPT-4, can take 25000 words, approximately 8 times more words than ChatGPT, that can be used to create more useful, longer, and analytical content.
When director Steven Spielberg created the movie A.I., a wave of being-human swept across the world. We fancied much about A.I., but we also craved that human-like feel to be real and be loved. And although we have already started seeing the advent of A.I. on the horizon, it has still not matched the level of human imagination. However, when we open up the internet and type AI, we get loads of websites that claim to be creating AI content. This, although seems helpful, sucks away the creativity and originality out of the internet’s fabric. As a business paying for original content, you’d want to ensure that it indeed is original. And to help you detect unoriginal content, there are plenty of tools available that you can seek help from.
Originality.ai, as the name suggests, is a tool that uses AI to detect AI. Seems a bit paradoxical, but it uses machine learning and works around the sentence structure to check the originality of the text. This tool also detects plagiarism and ensures that the written work is original. If you are planning to consider Originality.ai as your go-to tool, here are the pros and cons to look for beforehand.
Pros:
It quickly identifies plagiarism and thus saves time and effort involved.
It can help ensure that written work is original, which can be important in academic or professional settings.
Originality.ai uses natural language processing (NLP) algorithms to understand the text and identify similarities, even when the text has been rephrased or paraphrased. The tool can also check the text against a user-defined database of sources, such as a list of sources provided by a professor or a company’s internal document.
It can also help users learn about proper citation and referencing practices.
Cons:
Like any other software, this, too, is prone to false positives. There might be instances where it might detect your original content to have been written by an AI. Don’t groan about it; rather, feel proud that you have some superhuman-level skills.
It may not be able to detect all instances of plagiarism, especially if the text has been substantially rephrased or paraphrased.
It may rely too heavily on the tool and not encourage users to develop their skills in identifying plagiarism.
Pricing:
$0.01 per credit, 1 credit scans 100 words.
Writer
Website
Writer.com
Ranking
4.6 out of 5
Best For
All Businesses
Writer – Top AI Content Detector Tool
Similar to Originality, Writer.com’s AI Content Detector tool also uses artificial intelligence and machine learning to check the originality of the text. The tool works by comparing the text being checked against a database of other texts to identify similarities. When a user submits text to Writer.com’s AI Content Detector, the tool scans the text and compares it to a database of other texts, including academic papers, websites, and other sources. The tool looks for similarities in the text, such as identical or similar phrases, sentences, or paragraphs. Here are the pros and cons to look for:
Pros:
Using NLP, it cannot just detect AI content but even helps brands get unique content to elate their image
Free for up to 1500 characters (nearly 300 words)
Can quickly create different types of content like social media copy, articles, quora answers, emails, etc.
It can quickly and efficiently check large amounts of text for plagiarism
Users can also get numerous suggestions regarding citations and referencing
It has an extension that you can add to Chrome, Word, Edge, Docs, etc.
Cons:
Might fail to detect plagiarism every time
It is also prone to false positive, which mean that sometimes even human-generated content can be detected as AI-generated. Phew!
Pricing:
Plan
Pricing
Team
$18/user/month
Enterprise
Contact the vendor
Copyleaks
Website
Copyleaks.com
Ranking
4.7 out of 5
Best For
Websites that need basic AI detection
Copyleaks – Top AI Content Detector Tool
Whenever we talk about plagiarism, we talk about Copyleaks. This company mainly works on helping companies be free from plagiarism. Apart from it, it also has a free tool that allows free 300-word AI content detection. But, should it be relied upon?
Pros:
Free to use
Covers different language models
Provides chrome extension
Best for plagiarism
APIs for large-scale detections
Cons:
Does not provide a measurement of how much content is original
The AI detector is a beta version, which means in the future it might be chargeable
Pricing:
Copyleaks offers various pricing plans. Have a look at the pricing details of some packages.
Plan
Monthly Pricing
Trial (10 pages)
Free
100 pages
$10.99/month
250 pages
$24.99/month
1000 pages
$75.99/month
2500 pages
$184.99/month
5000 pages
$349.99/month
10000 pages
$679.99/month
120000 pages and more
Custom Price
Sapling.ai
Website
Sapling.ai
Ranking
4.8 out of 5
Best For
Companies that need chatting assistants
Sapling.ai – Top AI Content Detector Tool
Founded in 2018 by Ziang Xie, this tool has become an excellent AI detection tool in no time. It claims to be an excellent messaging assistant for companies that deal with customers. However, apart from being a messaging tool, it also helps companies detect AI-generated content. But how good is it at doing this?
Pros:
Offers excellent grammar and spell checking
Extension and add-ons for Google Chrome and Docs
Creates excellent content like emails, blogs, etc., using NLP
Offers quick and excellent messaging support
Integration with over 40 websites and applications
Cons:
No extension yet for the Mac browser
Integration lacks quality
Has no add-on for Google Slides
Pricing:
Have a look at the pricing details of packages offered by Sapling.ai:
Plan
Monthly Pricing
Free
$0/month
Pro
$25/month
Enterprise
Contact the vendor
GLTR
Website
Gltr.io
Ranking
–
Best For
Small businesses that need detection at smaller levels
GLTR – Top AI Content Detector Tool
GLTR, or Giant Language Model Test Room, works on detecting the GPT language model. It was developed by a team hailing from MIT-IBM and Harvard NLP. The interface is very basic and can help you detect artificially generated content through its natural language processing (NLP) algorithm. Here are the pros and cons to consider:
Pros:
Can work well on the GPT model
It is free for all users
Provides results with reasonable accuracy
Provides results with visualization
Cons:
The scientific language used could be vague for non-tech users
User interface is a bit complex
Detection is limited to the GPT database
Pricing:
GLTR is a free AI-content detector tool making it accessible to everyone.
HUMAN OR MACHINE? – Test If Writing Was Written with AI
Hugging Face (OpenAI Output Detector)
Website
Huggingface.co
Ranking
4.8 out of 5
Best For
All businesses
Hugging Face (Open AI output Detector) – Top AI Content Detector Tool
Founded in the year 2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf, this company originally was targeted at teenagers. Now, Hugging Face is best known for its cutting-edge NLP models and its open-source library of pre-trained models. It has a machine learning model that identifies and segregates different types of texts like emails, blogs, news articles, posts, etc.
Pros:
It has an easy-to-use interface
Is free and open source
Was initially meant to detect the GPT
Cons:
The use case is limited to GPT-generated content only
Could be inefficient to tackle the latest GPT model
Pricing:
Hugging Face (Open AI output Detector) is a free AI content detector tool to use.
Crossplag
Website
Crossplag.com
Ranking
4.3 out of 5
Best For
All businesses
Crossplag – Top AI Content Detector Tool
Like other AI detection tools, Crossplag is based on machine learning and NLP. The software shows results on a scale of red to green, where red means unoriginal content and green means original. Crossplag is a powerful tool, forged by the brightest minds in the field of technology, that uses advanced algorithms to scan your text and identify any instances of plagiarism, big or small, with reasonable accuracy. Here are the pros and cons of Crossplag:
Pros:
Supports over 100 languages
Simple UI that detects plagiarism with reasonable accuracy
Could be helpful in several work areas like SEO, academics, corporate content, etc.
LTI integrations
Uses the latest tech in NLP and ML
Cons:
Not well adept to the latest GPT model
Pricing could be an issue for some
Where its plagiarism is reasonably good, its AI detection may give out false positives
Pricing:
Have a look at the pricing details of packages offered by Crossplag:
Plan
Monthly Pricing
Free
$0 upto 1000 word
Pay-as-you-go
$9.99 upto 5000 words
Bundle
$149.99 upto 100000 words
Custom
Contact the vendor
Content at scale
Website
Contentatscale.ai
Ranking
–
Best For
Small scale businesses because of its ability to process limited words at a time
Content at Scale – Top AI Content Detector Tool
Founded by Justin McGill in the year 2008, ‘Content at Scale’ offers automated content creation using the advanced NLP model and machine learning. They claim to have the ability to produce undetectable AI content using their advanced technology. What more? They even have a free AI content detection tool.
Pros:
Multi-language support
Developed by experts in SEO
Processes several NLP models to generate or detect AI content
Free-to-use tools
Cons:
Can process only 2500 characters (nearly 350-400 words) at a time
Is prone to false positives, which means that it can sometimes detect human-generated content as AI generated
Does not tell which part is AI-generated
Pricing:
Pricing for Content at Scale is based on your needs, but it can cost anywhere from $0.01/word to $0.018/word.
Kazan
Website
Kazanseo.com
Ranking
–
Best For
Small to medium businesses that can keep working on average results
Kazan – Top AI Content Detector Tool
Considering companies’ current focus on SEO, Kazan came up with its SEO-basedcontent generation and optimization app. Apart from SEO, Kazan is capable of generating AI-based content too. It also uses the NLP model to generate and detect AI-based content. Here are possible pros and cons to consider before paying for its services:
Pros:
Can process GPT3 model
Simple interface
Far excels the other free tools out there
Can scan content in bulk
Free-to-use tool
Cons:
Needs a minimum of 200 and a maximum of 400 words to process the results
Has a bit distractive interface that could feel annoying at times
Pricing:
Kazan is a free AI content detector tool.
GPT-2 Output Detector
Website
Openai-openai-detector.hf.space
Ranking
4.0 out of 5
Best For
Small to medium-scale businesses that need basic reporting
GPT-2 Output Detector – Top AI Content Detector Tool
It is the easiest tool out in the market that takes your text as input and provides you with output regarding plagiarism and AI content generation. You simply have to paste the content into the interface and it’ll start doing its work.
Pros:
Easy to handle and use
Provides free AI content detection
No word limit
Cons:
The results do not give accurate data every time
There is not much written about the software
Authenticity of its results is questionable
Pricing:
GPT-2 Output Detector is a free AI content detector tool.
Conclusion
Considering the pace with which AI is entering our lives, preserving life and originality in the content becomes vital. As a business, what you put for the users defines you and your vision. If you put content that looks dull and lacks life, users might get affected adversely. To tackle it, investing in AI content detection tools become important. While the free AI content detector tools are good for basic blogs, as a big company has lots of content, you might want to make sure that no space for error is left. Invest in tools like Originality.ai, Writer.com, Crossplag, Sapling, etc. Consider what your requirements are and choose the software rightly. As a business, you might not want to depend on free software whose reliability is questionable. If you are a small website, you may depend on Copyleaks for its trustable record in terms of plagiarism.
FAQs
What is AI-generated content?
The content that AI-generated content creators create while using existing content to build new content is called AI-generated content. AI-generated content is used in a variety of applications, including news summarization, creative writing, content marketing, and more.
Can AI-generated content be detected?
Yes, AI-generated content can be detected from various tools available in the market like Originality.ai, Writer, Copyleaks, Sapling.ai, and others.
How to detect AI-generated content?
There are various ways to detect AI-generated text. One common method is to use software to analyze text features – for example, how fluently it reads, how frequently certain words appear, or whether there are patterns in punctuation or sentence length.
How do AI-generated content detection tools work?
AI-generated content detection tools compare the text to a vast database of existing content. These tools utilize advanced algorithms to identify similarities in the text that may indicate that it was generated by AI.
How accurate are these tools in detecting AI-generated content?
The accuracy of AI-generated content detection tools can vary depending on the tool, the complexity of the AI-generated content, and the type of text being analyzed.
