ChatGPT Plus+

Information about ChatGPT paid subscription plan.

1. What ChatGPT Plus.

A trial membership option for ChatGPT is called ChatGPT Plus. It provides accessibility despite heavy demand, quicker response times, and priority access to new features.

2. Is the free version still available?

Yeah, there will still be free access to ChatGPT. We will be able to support as many people as we can with free access by providing this membership pricing. For additional details on our free offering, see our general ChatGPT post.

3. When can I get off the waitlist?

Depending on capacity and availability, we are inviting users in small groups. You won’t receive your invitation at a specific time because we don’t follow a set schedule. But rest assured that we won’t ignore you. We appreciate your perseverance and enthusiasm.

4. How can I cancel my subscription?

Your subscription can be cancelled at any time. In the sidebar, click “My Account.” Following that, select “Manage my subscription” from the pop-up menu. A Stripe checkout page will be opened for you, where you can choose “Cancel Plan.” The day following the subsequent billing date will mark the start of your cancellation. Until then, you can use our services as usual. You must cancel your subscription at least 24 hours before your next paying date in order to prevent being charged for the following billing period. Payments for subscriptions are not returnable.

5. What is the refund policy?

If you decide to cancel your subscription within 14 days of purchase and you reside in the EU, UK, or Turkey, you may be entitled to a refund. Refund requests should be sent to refunds@openai.com.

6. How can I request a VAT tax refund?

Please send an email to customer-tax@openai.com with the subject “VAT Tax Refund” and your billing details (name, email, and billing address).

7. My account got terminated. Can I get a refund?

You will not receive a refund for any remaining credit or prepaid service if we terminate your account because you violated our Rules of Use. You also still owe any unpaid fees.

8. I still haven’t got access to ChatGPT Plus. When can I get access?

We are gradually introducing paid subscriptions to every customer, beginning with Americans. You can join our waitlist in the interim. As we increase, we appreciate your patience.

9. How can I opt out my data to improve model performance?

Kindly complete this form. You can also ask to have your account removed at any time.

10. Where can I find my invoice for ChatGPT Plus?

Credit purchase receipts are delivered to the email address you provide at checkout. By selecting “Manage my subscription” from the sidebar’s “My Account” option, you may also access your invoices there.

11. Are alternate payment options available?

We only take credit cards as payment at this time.

12. I want to use ChatGPT Plus with sensitive data. Who can view my conversations?

We may review discussions to enhance our systems and make sure the material conforms with our policies and safety regulations as part of our commitment to safe and responsible AI. See our Privacy Policy and Conditions of Use for additional details on how we handle data.

© 2023. All Rights Reserved. Designed by Animesh Mogha

ChatGPT — Release Notes

The latest update for ChatGPT

Release Notes (Feb 13)

Many changes have been done to ChatGPT! The following is new:

  1. In order to better serve more people, we’ve improved the ChatGPT model’s performance on our free plan.
  2. We are currently switching Plus members to ChatGPT’s speedier version, formerly known as “Turbo,” based on user input. The prior version will be available for a time.
  3. We made ChatGPT Plus available for purchase abroad.

Release Notes (Feb 9)

Our Plus package offers early access to brand-new, experimental features, as we recently announced. We are starting to offer Plus members the option to select between various ChatGPT versions, including:

  1. By default, ChatGPT uses its default model.
  2. Turbo: geared towards speed (alpha)

With a dedicated dropdown menu at the top of the page, choosing a version is simple. We may soon make this functionality (or only Turbo) available to all users depending on feedback.


Release Notes (Jan 30)

The ChatGPT model has been updated with better factuality and mathematical capabilities.

Release Notes (Jan 9)

We are pleased to introduce many ChatGPT updates! The following is new:

  1. The ChatGPT model has seen additional advancements! It should be more accurate overall and cover a wider range of subjects.
  2. Based on your comments, we’ve included the option to disable ChatGPT’s answer from being generated.

Release Notes (Dec 15)

We are pleased to introduce many ChatGPT updates! The following is new:

  1. General performance: Users will note that ChatGPT is now less likely to refuse to answer questions, among other changes.
  2. Conversation history: With ChatGPT, you’ll soon be able to look back at previous discussions, rename any saved ones, and remove any that you don’t want to keep. We are introducing this functionality gradually.
  3. Daily cap: We’re experimenting with a daily message cap in order to provide all ChatGPT users with a high-quality experience. If you belong to this group, you will be given the choice to increase your access by offering ChatGPT comments.

Look for “ChatGPT Dec 15 Version” at the bottom of the screen to determine if you’re using the most recent version.

© 2023. All Rights Reserved. Designed by Animesh Mogha

Will ChatGPT replace programmers?

It was mentioned on our company Slack yesterday, and since I had the day off but was stranded at home while our new porch’s roof was being installed, I spent a few of hours playing with it.

I made repeated attempts to get it to generate code I could use directly, but never once did it manage to do so, at least not without more work than if I had written the code from scratch. It produced examples that, at best, gave a good notion of what an assignment required without giving away the actual solution, similar to those I once offered in university classes.

It could be useful for creating regular expressions. It produced results after I requested numerous common examples and a few unique problems. I’m not sure if they were any better than using a standard regex generation tool, though, or if it wasn’t just as much labour.

Also, I’m not sure whether I’d believe that to be accurate.

I requested the last digit of pi from it. It asserted with confidence that it was 9, but with a few fair qualifiers, and then provided me with an example of pi that had around a dozen numbers to back up this assertion. The score was 6.

Then I requested many interviews with eminent historical individuals and various fictitious pieces on specific subjects. The results were all theoretically competently written; the grammar was correct and they were simple to read; however, they were all dull and superficial, as if they had been produced by a clickbait content creator or a bored high school student who didn’t care about the subjects being covered or the actions of the historical figure.

I enquired about how to start an antique motorcycle. The response was partly true, but it completely omitted the crucial information that would have helped prevent injuries from improper use of the equipment.

A coworker made a comparable inquiry for guidelines on how to land a glider. He claimed he believed it was attempting to murder him.

Natural attempts at communication were unnatural, uninteresting, and devoid of enthusiasm. It resembled a poor dinner date with a person who didn’t like me and was a little bit severe, humourless, and judgmental.

Speaking of dinner, it generated recipes remarkably well. Requests for vegan stew that included chicken were properly rejected as contradictory, but (let’s say) a request for vegan stew that included lentils and potatoes resulted in what appeared to be a recipe for a tasty, though uninspired, dish. It might be a little monotonous, I think.

Even so, I’d be happy to utilise it for that.

Overall, I got the idea that it was what we could reasonably anticipate from a modern-day ELIZA, but like ELIZA, it’s still just a toy, even if it could be the basis for something like Google Assistant or Amazon Alexa.

replacing programmers, though?

No, not even close. I’ll be concerned when it can conduct user and stakeholder interviews, design a solution in accordance with company direction and corporate vision, while taking into account budget, timeframe, preferred and available infrastructure, industry regulations, and current technology trends, as well as meeting functional and non-functional requirements.

It doesn’t even seem like it could be a competent programmer’s assistant at this point—a capable mechanical coworker who can rapidly do the tedious, repetitive sections so I can concentrate on the interesting parts.

Before we receive that, I believe we’ll have to wait for GPT4 or GPT5, or perhaps later.

Does the fact that ChatGPT can simply generate any algorithm mean that algorithm creation won’t be a problem for coders any longer? Can a coder suffer any negative effects from using ChatGPT?

It is simple for ChatGPT to repeat changed boilerplate that is occasionally incorrect in subtle (or perhaps not so subtle) ways.

I questioned ChatGPT on how to read a line of any length from a stream in C. It generated the following:

  1. #include <stdio.h> 
  2. #include <stdlib.h> 
  3. char *read_line(FILE *stream) { 
  4. char *line = NULL; 
  5. int line_size = 0; 
  6. int line_capacity = 0; 
  7. int c; 
  8. while ((c = fgetc(stream)) != EOF && c != ‘\n’) { 
  9. if (line_size >= line_capacity) { 
  10. line_capacity = line_capacity == 0 ? 64 : line_capacity * 2; 
  11. char *new_line = realloc(line, line_capacity); 
  12. if (new_line == NULL) { 
  13. free(line); 
  14. return NULL; 
  15. line = new_line; 
  16. line[line_size++] = (char)c; 
  17. if (line_size > 0 || c == ‘\n’) { 
  18. if (line_size >= line_capacity) { 
  19. line_capacity = line_capacity == 0 ? 64 : line_capacity * 2; 
  20. char *new_line = realloc(line, line_capacity); 
  21. if (new_line == NULL) { 
  22. free(line); 
  23. return NULL; 
  24. line = new_line; 
  25. line[line_size++] = ‘\0’; 
  26. return line; 
  27. }:

Here’s how the code works:

  • line is a reference to the dynamically allocated memory where the line will be stored.
  • The amount of characters in the line is indicated by line size.
  • Line capacity measures the amount of memory that is currently allocated.
  • The loop reads each character from the stream until it runs out of characters or hits a newline character.
  • The memory is reallocated to double in size if the current line size exceeds or is equal to the capacity of the allocated memory.
  • The line is extended by one character, and the line width is increased.
  • When a line or stream reaches its end while still containing characters, the null terminator is appended to the end of the line.
  • The function outputs a line pointer.
  • If there is a problem, the function returns NULL instead of a pointer to the line.

To use this function, you can pass a pointer to the stream you want to read from as an argument:

  1. int main() { 
  2. char *line = read_line(stdin); 
  3. if (line == NULL) { 
  4. fprintf(stderr, “Error: could not read line\n”); 
  5. exit(EXIT_FAILURE); 
  6. printf(“Read line: %s\n”, line); 
  7. free(line); 
  8. return 0; 

To read a line from the standard input stream, the function read line is called in this example with the argument stdin. When it is no longer required, the line is displayed to the console and the dynamically allocated memory is released using the free function.

It appears to be sensible. Not fantastic, but also not awful.

The geometric growth code may contain a signed integer overflow vulnerability. Of course, efficiency doesn’t really peak at one character at a time, does it?

I asked it if it could use fgets() to write a more effective version, and it complied. One step forward, two steps back, though:

  1. #include <stdio.h> 
  2. #include <stdlib.h> 
  3. #include <string.h>  
  4. char *read_line(FILE *stream) { 
  5. char *line = NULL; 
  6. size_t line_capacity = 0; 
  7. ssize_t line_size = 0; 
  8. do { 
  9. line_capacity += BUFSIZ; 
  10. char *new_line = realloc(line, line_capacity); 
  11. if (new_line == NULL) { 
  12. free(line); 
  13. return NULL; 
  14. line = new_line; 
  15. if (fgets(line + line_size, (int)(line_capacity – line_size), stream) == NULL) { 
  16. break; 
  17.  
  18. line_size = strlen(line); 
  19. } while (line[line_size – 1] != ‘\n’); 
  20. if (line_size == 0) { 
  21. free(line); 
  22. return NULL; 
  23. line[line_size – 1] = ‘\0’; 
  24. char *new_line = realloc(line, line_size); 
  25. if (new_line == NULL) { 
  26. free(line); 
  27. return NULL; 
  28. line = new_line; 
  29. return line; 
  30. }

A few faults:

  • Our nice geometric growth allocation is gone. We now have linear growth, which is O(n2).(2).
    • But, we’ve upgraded to size_t, so any overflow there will be unsigned rather than UB inducing signed overflow.
  • When detecting how much text fgets() read in, it remeasures the entire string. Again, that’s O(n2).(2).
  • It weirdly keeps the string length in the non-standard ssize_tstrlen() returns size_t.
  • Why are we realloc’ing again at the end after we’ve successfully read the string? Just return it with a bit of extra pad at the end and avoid an extra trip through the memory allocator, an additional opportunity to fail allocation, and an extra potential memcpy().

As we are now dividing n by BUFSIZ, this effect won’t actually be felt until a moron inserts a line in your file that is roughly a megabyte in size.

But aren’t DoS attacks exactly what they live for?

When you’re through with either of these, you must free() the buffer. Your heap can become excessively fragmented as a result over time. The desire to reuse an input buffer is more frequent. No copies must be stored by you. You can just re-use the previous buffer rather than making new allocations for each line.

If you request ChatGPT to do that, it complies:

  1. #include <stdio.h> 
  2. #include <stdlib.h> 
  3. #include <string.h> 
  4. #define INITIAL_LINE_CAPACITY 128 
  5. char *read_line(FILE *stream, char *line, size_t *line_capacity) { 
  6. ssize_t line_size = 0; 
  7. do { 
  8. if (fgets(line + line_size, (int)(*line_capacity – line_size), stream) == NULL) { 
  9. break; 
  10. line_size = strlen(line); 
  11. if (line[line_size – 1] == ‘\n’) { 
  12. break; 
  13. *line_capacity *= 2; 
  14. char *new_line = realloc(line, *line_capacity); 
  15. if (new_line == NULL) { 
  16. free(line); 
  17. return NULL; 
  18. line = new_line; 
  19. } while (1); 
  20. if (line_size == 0) { 
  21. return NULL; 
  22. line[line_size – 1] = ‘\0’; 
  23. char *new_line = realloc(line, line_size); 
  24. if (new_line == NULL) { 
  25. free(line); 
  26. return NULL; 
  27. line = new_line; 
  28. return line; 
  29. }

And it offers the following example code:

  1. int main() { 
  2. char *line = malloc(INITIAL_LINE_CAPACITY); 
  3. size_t line_capacity = INITIAL_LINE_CAPACITY; 
  4. while (read_line(stdin, line, &line_capacity) != NULL) { 
  5. printf(“Read line: %s\n”, line); 
  6. free(line); 
  7. return 0; 
  8. }

Once more, it appears like we are moving forward and then backward.

  • We’re back to geometric growth, which is a positive. But, that now puts this expression at risk of integer overflow: (int)(*line_capacity - line_size)
  • The argument line is passed by value while its companion line_size is passed by pointer.
    • That requires the user to reassign line on return because realloc() can move the buffer.
    • This introduces a significant opportunity to “hold it wrong” and fail to update line.
    • In fact, ChatGPT itself “holds it wrong” in its own demo code.

while (read_line(stdin, line, &line_capacity) != NULL) {

  • ChatGPT releases the buffer but fails to zero off the line capacity if realloc() fails.
  1. *line_capacity *= 2; 
  2. char *new_line = realloc(line, *line_capacity); 
  3. if (new_line == NULL) { 
  4. free(line); 
  5. return NULL; 
  6. }
  • Previous versions would bootstrap themselves from an empty allocation and zero capacity.
    • This one doesn’t, requiring the caller to do that, introducing another opportunity to “hold it wrong.”
    • ChatGPT “holds it wrong” subtly, failing to check that the initial malloc() succeeded
    • The read_line() code itself does not check whether the incoming buffer has any room or even a non-NULL pointer. That would come naturally, though, if it could bootstrap from a NULL pointer.

This genuinely resembles putting a recent college graduate through their initial code review in the workplace. Because each new version addresses one issue while breaking another, that type of code review requires a week or two of back and forth. Alternately, a mentor could go and pair-program with the novice for a little while.

I identified a few bugs in ChatGPT’s code. How many would you have managed to catch?

What percentage of those would lazy programmers who rely on ChatGPT and other code generators manage to catch?

I compared it to Sideshow Bob in a previous answer about ChatGPT, and that’s how I feel right now.

How could CHAT GPT’s creators benefit from Chat GPT?

John and Harry, two friends looking for a method to earn money from home, founded CHAT GPT. Both had a strong background in computers and expressed interest in the emerging chatbot technology. They had the notion to develop a chatbot that would let users earn money by doing microtasks, or GPTs (get-paid-tasks).

The two buddies instantly understood that Chat GPT could help them in a number of ways. First, they might utilise the chatbot to complete GPTs for other people in order to earn money. Second, they may employ the chatbot to promote sales by increasing website traffic. Thirdly, they might use the chatbot to discover more about chatbot technology and how it can be applied to the development of fresh, cutting-edge goods.

Using Chat GPT, John and Harry have had great success and are still developing and growing the chatbot. They are anticipating continued success with Chat GPT as they have already noticed a big rise in website traffic.

What are some strategies the designers of CHAT GPT could employ to their benefit?

The developers of Chat GPT might take advantage of the platform in a number of ways. They may first utilise it to draw more people to their website or online store. By giving customers who enter promotional coupons or discounts during a chat a discount, Chat GPT can be utilised to increase traffic. The developers could also use Chat GPT to compile user information. This information might be utilised to develop more focused marketing efforts or to enhance their goods and services. The makers might use Chat GPT to build a community around their good or service, as a last option. This community could serve as a source of suggestions, encouragement, and ideas.

What are some of the benefits of Chat GPT for creators?

Creators can engage with their audience on Chat GPT and receive feedback on their work. It’s a fantastic method to create a following for your work and generate enthusiasm for your undertaking. You can find new colleagues and promote your work with Chat GPT.

Favorite Pair of shoes

Tell us about your favorite pair of shoes, and where they’ve taken you.

My favorite pair of shoes are my Nike Air Max 97s. They are a classic white and silver colorway and they are so comfortable. I love wearing them when I’m out and about because they go with almost any outfit. I’ve taken them on many adventures, from long walks around the city to hikes in the mountains. They’ve been with me through thick and thin and I’m so grateful for them.

Everyone should relax. ChatGPT Won’t Destroy Google.

  • Without a doubt, ChatGPT is among the most significant web innovations of the past ten years. Like nothing else before, the AI chatbot is demonstrating to the general public the potential of AI assistance. It makes sense why people are thrilled! And this is only the beginning of the possibilities. It appears that there has been a significant change in how AI can function in our daily lives.
  • A B-level MBA student is ChatGPT. It passed the US Medical Licensing Examination. Okay, so it can’t quite perform complex calculations just yet, but who’s perfect? The SERP will be “eliminated” by Gmail, “destroying the most valuable part of [Google’s] business,” according to the company’s founder.
  • Hold on. Do we really think ChatGPT will annihilate Google? I’m not a fan.

Emerging, unique tech products are destined to become features on established platforms due to the first-mover disadvantage.

Being the first to market has frequently not been profitable in the long run.

Recall Periscope and Meerkat? Yes, Facebook adopted the idea of a live stream video and transformed it into Facebook Live on their platform once they had gained enough popularity.

In response to Snapchat’s growing popularity, Instagram (and later Facebook) launched Stories. Reels and YouTube Shorts made a strong impression on TikTok, but Google and other platforms have already begun to deliver more visually appealing content.

[TIP] ChatGPT — and the public’s response to it — is the best free user research Google could have ever asked for.

When ChatGPT first debuted, it appeared that Google was somewhat caught off guard. The company leadership reportedly issued a “code red” in December, indicating that they considered this technology to be a real threat.

However, to assert that ChatGPT will replace Google—a claim made 28 million times as of the time this post was written—is to disregard everything Google has accomplished to become the de facto search engine.

No other company is better placed than Google to continue what OpenAI has started and bring it to the general public.

How will an AI chat-based search engine work?

Reinforcement Learning

In a recent discussion about this, my colleague Ethan Lyon made the following really good points:

“In the future, ChatGPT and other large language models will probably make use of reinforcement learning.”

ETHAN LYON, DIRECTOR OF INNOVATION

Google’s search algorithms are currently trained using reinforcement learning. It is a method of machine learning that uses algorithms that are rewarded (or punished) in order to grow and learn. The algorithm strengthens whatever action generated the reward better the more it receives rewards for the desired behavior.

Google’s algorithms are motivated to display results that encourage users to spend more time on its SERPs because the reward in this case could be a metric like time spent interacting with the search engine.

Through user feedback, a reinforcement network is adjusted. And putting more humans in control of the AI is the only way to obtain that feedback from people.

Enter Google, the website that more humans visit than any other in the world. 

Google is (and will remain) the top search engine

Because it has the biggest index and the most robust user feedback loop, it will continue to be the best search engine whenever AI chat-like features are incorporated into its core Search product.

Google incorporates a new piece of knowledge into its algorithms every single time a user conducts a search and interacts with the search results. Every click, hover, and mouse movement trains the ML algorithms to precisely satisfy user needs.

Every year, the company spends hundreds of billions of dollars to keep a live map of the internet and guide users to their desired destinations at any time.

So, what does this mean for the future of Search?

Despite the hype in the public, the industry’s reactions to ChatGPT show that this type of technology is here to stay.

On Monday, 2/6/2023, Google announced the launch of Bard, an experimental conversational AI service based on their two-year-old LaMDA model.

Within 24 hours of Google’s announcement, we saw Bing scramble to organize a press conference to announce their ChatGPT-Bing integration.

Following the announcement of their own AI chatbot, Chinese search giant Baidu saw a 16% increase in stock price.

Perhaps the future Google SERP will resemble this, acting more like a dialogue with cited sources and less like a Rolodex of links and advertisements. We don’t yet know.

However, I can confidently state at this time that Google will carry on as usual and use its unrivaled index and user base to hone its algorithms and provide the best results it can.

Search engines will always try to respond to questions that are specific. Through the use of tools like the Knowledge Graph and Answer Boxes, Google has been making progress in finding ways to directly respond to users’ queries. However, there is still room for brands with an opinion to produce subjective content that highlights their particular area of expertise. In a world with AI-powered search, E-E-A-T becomes even more crucial.

It will be exciting to see how this all plays out over the coming months!

© 2023. All Rights Reserved. Designed by Animesh Mogha

ChatGPT Updated as Developer OpenAI Forecasts $1bn in Revenue by 2024

The massively popular chatbot will soon have daily usage restrictions and a history of previous chats in an effort to perform better.

The first significant update to OpenAI popular chatbot ChatGPT since its launch last month includes performance improvements and daily usage limitations. In a recent upgrade to its revenue forecast, the business predicted it might earn $200 million this year and $1 billion in 2024.

With more than a million users in less than a week and a reputation for producing lengthy, intricate, and precise texts, ChatGPT was a huge success for OpenAI. Others complained about errors, and the coding community StackOverflow prohibited using them in answers to users’ inquiries about programming.

Sam Altman, chief executive officer of OpenAI, has recommended caution, saying that “it’s a mistake to be depending on [ChatGPT] for anything essential right now, it’s a preview of development,” and that there is still much work to be done on the system’s reliability and objectivity.

With performance-related modifications to its algorithm, the most recent version strives to improve ChatGPT’s usability and reliability in the first of those categories. Users will notice that ChatGPT is less likely to decline to answer inquiries now, according to OpenAI, among other enhancements.

The business is also thinking about implementing daily message restrictions, which would limit some high-intensity users to a specific amount of responses each day in order to lessen the overall strain on the engine, in order to enhance the overall performance for all users. If you belong to this group, OpenAI stated that you will be given the chance to increase your access by offering ChatGPT comments.

ChatGPT update: feedback is ‘essential’

Using user feedback on responses that don’t perform well, ChatGPT is a “research preview” that will be used to better train the model before a future release of a commercial API. The usage restrictions appear to be a strategy for increasing user feedback.

We are aware that there are still a lot of constraints, according to OpenAI. “We intend to update the model frequently to achieve progress in these areas. But, we also expect that by making ChatGPT accessible, we will receive insightful user feedback on problems we are not currently aware of.

Users are urged to share their thoughts on problematic model outputs through the UI as well as on false positives and false negatives from the external content filter, which is also a component of the interface.

We are especially interested in feedback on negative outcomes that could happen under non-adversarial, real-world circumstances as well as feedback that enlightens us on new risks and potential defences.

The last new feature, which has not yet been implemented but is “coming soon,” will allow users to access earlier discussions they had with the chatbot in the hopes that this will cut down on the number of times they ask the same question repeatedly.

In the near future, ChatGPT will allow you to see previous discussions, rename your saved talks, and delete any that you don’t want to keep. This feature is being gradually rolled out, the business said in the update notice.

OpenAI targets $1bn revenue in two years

The success of ChatGPT coincides with a bold revenue forecast from Microsoft-backed OpenAI, which, according to Reuters, is expected to reach $1 billion by 2024. Given that the most recent reported revenue for 2021 was $59.6 million and that $200 million is expected for the following year, this accomplishment seems huge.

The business, which Altman, Elon Musk, and others created initially as a non-profit research organisation, is now estimated to be worth approximately $20 billion after experiencing a sharp increase in growth over the past year thanks to generative AI models like DALL-E2 and ChatGPT.

A few cents are charged each image or every few thousand words of text when developers and businesses use OpenAI’s API. Additionally, it has partnerships with copywriting start-ups like Synthesia and Shutterstock to offer generative AI graphics in their stock libraries.

Brad Smith, the president of Microsoft, told Reuters that “we’re going to see advances in 2023 that folks two years ago would have predicted in 2033,” which has contributed to some of this increased growth potential.

© 2023. All Rights Reserved. Designed by Animesh Mogha

A new update to ChatGPT will increase the AI chatbot’s accuracy.

The latest “Jan 9 version” ChatGPT update, according to OpenAI, enhances factuality across a wide range of topics.

A more accurate version of ChatGPT, a well-known conversational AI model that can imitate human answers, has been released. Users will be greeted by a new pop-up notice that lists the changes in what OpenAI refers to as the “Jan 9 version” upgrade when they first access the ChatGPT interface. Reads the pop-up:

“The following is new:

We further enhanced the ChatGPT model! It should be more accurate overall and cover a wider range of subjects.

Stop generating: In response to your input, we’ve provided the option to stop ChatGPT’s response from being generated.

The possibility of ChatGPT spreading false information could be related to the first point. The chatbot is far from perfect, despite having built-in features to assist it avoid rude remarks and factual mistakes. Moreover, OpenAI has acknowledged that ChatGPT has a tendency to give “plausible-sounding but inaccurate or nonsensical replies.” This upgrade may have made the chatbot slightly more adept at managing certain situations.

The ability to halt ChatGPT while it is generating a response appears to be the subject of the second point, albeit we were unable to detect anything relevant on our end. Longer responses can occasionally be frustrating when you realise halfway through that the output being created isn’t what you need but are powerless to halt the output. This implies that before you can give ChatGPT a new inquiry, you must wait for it to complete producing the previous response.

The “Jan 9 version” update is ChatGPT’s second since the program’s introduction in late November. The prior version, released on December 15, enhanced overall functionality and introduced discussion history.

© 2023. All Rights Reserved. Designed by Animesh Mogha

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