Connect with us


Microsoft`s OpenAi announces new AI model `GPT-4` that accepts image, text



Amid the popularity of ChatGPT, Microsoft-owned OpenAi has announced a new large multimodal model `GPT-4` which accepts image and text inputs. 

“We`ve created GPT-4, the latest milestone in OpenAI`s effort in scaling up deep learning,” the company said in a blogpost on Tuesday.

“We`ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results on factuality, steerability, and refusing to go outside of guardrails.”

Compared to GPT-3.5, the new AI model is more reliable, creative and capable of handling complex instructions.


GPT-4 outperforms existing large language models (LLMs), including most state-of-the-art (SOTA) models which may include benchmark-specific construction or additional training methods.

“In the 24 of 26 languages tested, GPT-4 outperforms the English-language performance of GPT-3.5 and other LLMs (Chinchilla, PaLM), including for low-resource languages such as Latvian, Welsh, and Swahili,” the company said.

The company has also been using this new model internally, with great impact on functions like support, sales, content moderation and programming.

In contrast to the text-only setting, this model can accept a prompt with both text and images, allowing users to specify any vision or language task.

The GPT-4 base model, like earlier GPT models, was taught to predict the next word in a document. It was trained using both licenced and publicly available data.


ChatGPT Plus subscribers will get GPT-4 access on with a usage cap, while developers can sign up for the GPT-4 API`s waitlist.

“We look forward to GPT-4 becoming a valuable tool in improving people`s lives by powering many applications,” the company said.

Also Read: Twitter to soon let users post 10K character tweets

This story has been sourced from a third party syndicated feed, agencies. Mid-day accepts no responsibility or liability for its dependability, trustworthiness, reliability and data of the text. Mid-day management/ reserves the sole right to alter, delete or remove (without notice) the content in its absolute discretion for any reason whatsoever

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *


Google’s Bard waitlist is now open to the public. Here’s how you can get on it




Google logo on a phone in front of a Google bard screen

Getty Images/NurPhoto

As the generative AI craze continues, Google Bard is ready to get a piece of the action. Users can now sign up for the experimental AI chat service’s waitlist. 

Also: What is Google Bard? Here’s everything you need to know

Google Bard is meant to be an assistive AI chatbot. Similar to ChatGPT, Bard uses artificial intelligence to provide human-like conversational responses and advanced technical abilities such as editing and generating text when prompted by a user.

Bard can access Google’s search engine, while ChatGPT has no internet access and has only been trained on information available up until 2021. Google Bard competes more directly with Bing Chat, Microsoft’s new AI-powered Bing that uses GPT-4, OpenAI’s most advanced large language model, and has access to the entirety of the web. 

Also: ChatGPT vs. Bing Chat: Which AI chatbot should you use?


Bard uses its own large language model named Language Model for Dialogue Applications (LaMDA), instead of the GPT series, which is what most AI chatbots are using. Google Bard will first use a lightweight and optimized LaMDA version. 

How to join the Google Bard waitlist

Google Bard Homepage screenshot

Screenshot by Sabrina Ortiz/ZDNET

Once you arrive at the homepage, you will be greeted by the waitlist landing page, where you can learn more about what you can do when you use Google Bard, how it works, or join the waitlist. 

Click on the blue Join waitlist button to get started.

Join the Waitlist Button on Google's page

Screenshot by Sabrina Ortiz/ZDNET

If you’re already signed into your Google account, it will take you straight to the next step. If you aren’t, once you hit the Join waitlist button, you’ll be prompted to either sign in or create a new Google account. 

Users can’t access Bard using Google Workspace accounts, so make sure to sign into your personal account.

Google sign in page screenshot

Screenshot by Sabrina Ortiz/ZDNET

After signing in, you will be brought to the final step where you can opt-in to receive emails about Bard and officially join the waitlist.

Bard Waitlist screenshot

Screenshot by Sabrina Ortiz/ZDNET


Will Bard replace Google Search?

Google Bard and other AI chatbots, like Bing Chat and ChatGPT, certainly have the potential to replace search engines. These AI tools use information found on the web to provide answers to users’ queries, but instead of giving them a list of websites where that answer may or may not be found, it gives them a straightforward, though not always accurate, answer in a conversational manner. 


Also: Still waiting for Bing Chat access? Make sure you do these 4 things

Some people may use AI chatbots in place of a Google Search, especially since the added abilities of asking follow-up questions and generating text make it more functional for some use cases than a search engine.

When will I be able to access Google Bard?

Some people are granted access within 24 hours of joining the waitlist, while others wait days, maybe weeks. As demand for generative AI and Google’s AI chatbot grows, the waitlist grows as well. 

Does Bard provide inaccurate answers?

When Google Bard was announced in February, it faced scrutiny because of factual mistakes it made in its demo. Users have subsequently wondered whether Google’s AI chatbot still continues to provide inaccurate or inappropriate responses and whether it can be trusted as some have come to trust other AI tools. 

Also: I tested Google Bard. It was surprisingly bad


In response, in Tuesday’s announcement, Google reiterated that Bard is an experiment capable of making mistakes. 

Google wants users to provide feedback on their experiences to improve the LLM and propel it forward.

Continue Reading


iOS 17 strategy changed! “Nice to have” features for iPhones expected




Apple has changed the strategy for the iOS 17 release in a major way! According to Mark Gurman’s previous statements back in January 2023, the next iOS 17 update may not be as significant as previous iPhone updates, as the company is prioritizing its highly anticipated mixed-reality headset. Now in his latest “Power On” newsletter, Gurman says that Apple altered its approach to iOS 17 during the later stages of development by introducing a number of fresh features.

“When Apple set out to develop iOS 17, the initial thinking was to call it a tuneup release — one focused more on fixing bugs and improving performance than adding new features (not unlike the approach the company took with Snow Leopard on Mac OS X back in 2009),” Mark Gurman mentioned. The aim was to avoid repetition of the issues encountered with iOS 16, an update that experienced glitches.

With the latest development process, Gurman suggested that the iOS 17 release is now expected to bring several “nice to have” features for your iPhones this year. Despite the absence of a prominent enhancement such as the revamped lock screen introduced last year with the iOS 16, the goal of the software – known as “Dawn” – is to address numerous highly requested features by users.

When will iOS 17 update will be released?

Just like the previous iPhone software updates, the next big update of iOS 17 is expected to be announced at Apple’s annual Worldwide Developers Conference, which will likely be held in June 2023. From the upcoming iPhone 15 to iPhone 14, iPhone 13, iPhone 12 and some other previous iPhones will get this update.


Possible improvements and novel features that the update may bring include a next-gen CarPlay interface, Siri modifications, the ability to sideload and access alternate app stores, support for Apple’s mixed-reality headset, and additional capabilities. As the release date for iOS 17 approaches, you can expect some other expected features.

Continue Reading


Gordon Moore, Intel Co-Founder and Coiner of Moore’s Law, Dies at 94




Gordon Moore, the Intel Corp. co-founder whose theory on computer chip development became the yardstick for progress in the electronics industry, has died. He was 94.

Moore died peacefully surrounded by family at his home in Hawaii on Friday, the Gordon and Betty Moore Foundation said in a statement.

A founder of industry pioneer Fairchild Semiconductor, Moore in 1968 co-founded Intel, which grew into the world’s largest semiconductor maker at one point. The Santa Clara, California-based company supplies about 80% of the world’s personal computers with their most important part, the microprocessor. Moore was a chief executive officer from 1975 to 1987.

Intel and other semiconductor makers still develop products according to a version of Moore’s Law, the scientist’s 1965 observation that the number of transistors on a computer chip — which determines the speed, memory, and capabilities of an electronic device — doubles every year. The law, which Moore revised in 1975, remains a yardstick for progress both within and beyond the chip industry, even as its continued applicability is a topic of debate.


Moore’s observation was fundamental to Intel’s rise to prominence. The company poured increasing sums into improving the manufacturing of the tiny electronic components at a pace its rivals couldn’t keep up with. The torrid rate of progress made Intel’s technology the hardware heart of the personal computer revolution, then the internet revolution, until the company’s Asian rivals challenged its leadership.

Alive and Well

“Intel will be the steward of Moore’s Law for decades to come,” Chief Executive Officer Pat Gelsinger said in a January 2022 interview. He said the law “is alive and we’re going to keep it very well.”

Carver Mead, an engineering professor at the California Institute of Technology, came up with the name Moore’s Law. Moore himself expressed surprise at its influence and longevity and preferred to demystify and downplay it.

“I wanted to get across, here’s an idea where the technology is going to evolve rapidly and it’s going to have a major impact on the cost of electronics,” Moore recalled for a video produced by the Chemical Heritage Foundation. “That was the main point I was trying to get across, that this was going to be the path to low-cost electronics.”

Moore was director of research and development at Fairchild when he made his famous projection in an article, “Cramming More Components Onto Integrated Circuits,” for April 19, 1965, edition of Electronics magazine. Noting that the most cost-efficient circuit at that time held 50 transistors, he predicted that number would roughly double each year to 65,000. Modern microprocessors have billions of transistors.


In the same article, he wrote: “Integrated circuits will lead to such wonders as home computers or at least terminals connected to a central computer, automatic controls for automobiles and personal portable communications equipment.”

1975 Revision

Revising his law in 1975, Moore said components per chip would grow half as quickly, doubling every two years rather than every year. An Intel colleague, David House, came up with the often-quoted corollary that a chip’s performance, due to both the number and quality of transistors, would double every 18 months.

Intel’s proxy statement in 2006 showed Moore owned 173 million shares. That’s the last time his name appears in the company’s regulatory filings. His net worth was about $7.5 billion, according to the Bloomberg Billionaires Index.

In 2000, Moore set up the Gordon and Betty Moore Foundation, which reported assets of $9.5 billion as of 2021, making it one of the biggest private grant-making foundations in the US. It supports environmental conservation, patient care, and scientific research worldwide, as well as local causes in the San Francisco Bay area. Moore said his concern for the environment stemmed from his love of fishing.

Among their major gifts, Moore and his wife gave $600 million to Caltech, located in Pasadena, California; $200 million to Caltech and the University of California to build the world’s most powerful optical telescope; and $100 million to the University of California at Davis to build a nursing school.


Sheriff’s Son

Gordon Earle Moore was born on Jan. 3, 1929, in San Francisco and raised in Pescadero, California. His family moved to Redwood City, California, when he was 10. His father, Walter, was a deputy sheriff. His mother, Florence Almira Williamson, owned a small general store.

Moore saw a chemistry set at a neighbor’s house and decided he wanted to be a chemist. He began experimenting with making rockets and explosives and studied chemistry at San Jose State University. There, he met his wife, the former Betty Whittaker. They would have two children, Kenneth and Steven.

Moore transferred to the University of California at Berkeley and, in 1950, became the first person in his family to graduate from college. In 1954, he received a Ph.D. in physics and chemistry from Caltech.

He landed a job as a researcher at Johns Hopkins University’s Applied Physics Laboratory in Silver Spring, Maryland. William Shockley, who had created the transistor at Bell Telephone Laboratories, and who would share the 1956 Nobel Prize in physics, recruited Moore to his Shockley Semiconductor Laboratory near Palo Alto, California.

Moore and seven co-workers, including Robert Noyce, left to found Fairchild in 1957 with $3,500 of their own money and a $1.5 million investment from Fairchild Camera and Instrument Corp. Shockley dubbed them the “Traitorous Eight.” Noyce, in the late 1950s, helped invent the integrated circuit, the basis of all chip designs to this day. He died in 1990.


Forms Intel

Noyce and Moore formed Intel, a contraction of “integrated electronics,” in a former Union Carbide factory in Mountain View, the heart of what they would help build into Silicon Valley. Moore’s first title was executive vice president. Andy Grove, another Fairchild employee, soon joined them.

In 1971, Intel introduced its first microprocessor, holding more than 2,000 transistors. Its 8080 microprocessor was in the Altair 8800, introduced in 1975 and widely considered the first successful personal computer. In 1981, IBM selected Intel’s 8088 microprocessor to power its first personal computer.

Moore became president and CEO in 1975, then chairman and CEO in 1979. Grove succeeded him as CEO in 1987, and Moore retired from Intel’s board in 2001 at age 72, in accordance with a mandatory retirement-age policy that he instituted.

Moore “does not boast, although his record of achievement provides a great deal to boast about,” Richard Tedlow wrote in his 2006 biography of Grove. “He appears to be, that is to say, simply a regular person.” Tedlow quoted Grove calling Moore “a smart guy with no airs.”

Today, most chip industry leaders and observers would argue that Moore’s Law no longer holds. Some of the layers of materials used to build semiconductors are only an atom thick, meaning they cannot be shrunk further. At such tiny geometries the properties of those materials that make them semiconductors break down. That destroys their usefulness as the microscopic switches used to represent the most basic form of electronic information.


Unlike succeeding Intel leaders who rebutted predictions of Moore’s Law’s demise, Moore predicted its irrelevance.

“Someday it has to stop,” Moore said at an event in 2015 to commemorate his law’s 50th anniversary. “No exponential thing like this goes on forever.”

Moore is survived by Betty Irene Whitaker, whom he married in 1950, as well as sons Kenneth and Steven and four grandchildren. 


Affiliate links may be automatically generated – see our ethics statement for details.

Continue Reading