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In its first year, ChatGPT garnered billions of visits and prompted government AI action

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In the year since its public release, OpenAI’s ChatGPT artificial intelligence (AI) tool has experienced exponential growth in popularity. Because of its phenomenal success, tech companies have been competing to stay ahead of the curve, and lawmakers and regulators are rushing to keep up with the rapidly changing industry.

According to Similarweb data, ChatGPT received 15.5 million visits in its first week of operation after going live at the end of November. The data shows that in ChatGPT’s second week of public access, visits more than tripled to 58 million.

Since then, ChatGPT has been integrated into Microsoft products, Google and other tech firms have released competing products, and Congress has become interested in — and scrutinized by — the chatbots’ growing popularity.

However, OpenAI had a busy week as ChatGPT approaches its one-year anniversary. After receiving pressure from hundreds of workers, the company’s board removed CEO Sam Altman and then rehired him a few days later.

At its peak, ChatGPT had 1.8 billion visits. According to Similarweb data, ChatGPT saw a sharp increase in visits from the time of its launch until reaching a peak in May with 1.8 billion visits. After peaking in May, ChatGPT’s traffic dropped to 1.6 billion in June, marking the first decline since the platform’s launch. An early concern about how AI would affect various industries and jobs was that students were using ChatGPT, potentially to cheat on assignments.

According to Similarweb’s data, chatGPT traffic peaked in August at 1.4 billion visits, but by October, it had returned to 1.7 billion visits.

The amount of traffic that ChatGPT generated propelled OpenAI’s website to rank among the most popular websites globally.

The OpenAI website received more visits in April than the websites of Netflix, Reddit, and LinkedIn; however, over the summer, Similarweb indicates that those websites surpassed OpenAI once more.

A major development in generative AI, according to Sarah Kreps, director of the Tech Policy Institute at Cornell Brooks School of Public Policy, was the release of the first “consumer facing, user friendly generative AI app.”

“This was something that normal people could use, but also then this percolated so quickly into businesses and now has transformed how so many different industries do business,” Kreps said.

Rival goods were released

In February, as ChatGPT gained immense popularity and was being used extensively, Google introduced Bard, a competing chatbot. Google’s Language Model for Dialogue Applications, or LaMDA, powers Bard.

Microsoft revealed its intentions to integrate ChatGPT into its Bing search engine, just a day after Google revealed Bard and its intentions to integrate it into search features. Microsoft gave OpenAI billions of dollars.

With their simultaneous announcements, the two companies set off a race to stay ahead of the AI curve, with others following suit.

Microsoft employed Open AI’s GPT-4, a more sophisticated version of its AI tool, to power AI in Bing search. Open AI released GPT-4 in March.

Over Bard, ChatGPT continues to have a substantial traffic advantage. Based on Similarweb data, Google’s Bard received 266.1 million visits in the last three months, while ChatGPT received 1.7 billion visits.

As ChatGPT grew, other tech companies joined the AI fray as well.

Facebook and Instagram’s parent company, Meta, declared in July that its large language model, Llama 2, was open-sourced and would be available for research and commercial use.

Earlier this month, Elon Musk’s xAI company revealed a rival to ChatGPT with a “rebellious streak.”

Congress’s examination of AI

With ChatGPT’s growing popularity and the emergence of competitors, the federal government started to think about safeguards to reduce potential risks like job losses and misinformation spreading. Altman expressed his “worst fears” in a May testimony to a Senate Judiciary subcommittee, saying that he believes the technology sector will “cause significant harm to the world.”

“I think if this technology goes wrong, it can go quite wrong, and we want to be vocal about that. We want to work with the government to prevent that from happening,” he added.

Additionally, Senate Majority Leader Charles Schumer (D-N.Y.) has organized a number of AI insight forums that bring together executives from tech companies and civil society organizations to talk about the advantages and disadvantages of AI. Altman attended the first closed-door forum in September, along with the CEOs of Google, Microsoft, Meta, and other tech companies.

In October, the White House issued a comprehensive executive order on AI, which is currently being considered by Congress. New safety regulations are part of the order, which also mandates that businesses creating models that seriously endanger the public’s health, the economy, or national security notify the government before training the models.

Additionally, it instructs federal agencies to expedite the development of methods for training AI while maintaining the privacy of the training set.

Unrest at OpenAI

Altman was unexpectedly fired as CEO of OpenAI on Friday afternoon, according to a report, because he was  “not consistently candid in his communications with the board.”   according to the review.

Following the news, OpenAI president and board chair Greg Brockman resigned, and it was later reported that hundreds of workers threatened to quit if Altman was not reinstated.

OpenAI first named OpenAI Chief Technology Officer Mira Murati as its interim CEO, then Emmett Shear, the CEO of Twitch, before announcing on Tuesday that Altman would return with a largely new board.

Microsoft recruited Altman and Brockman to head a generative AI team in the interim between the tech giant’s firing of Altman and the agreement to bring him back.

Microsoft and the AI company will maintain their partnership in spite of the recent upheaval.

“We are encouraged by the changes to the OpenAI board. We believe this is a first essential step on a path to more stable, well-informed, and effective governance,” Microsoft CEO Satya Nadella stated on X, the website that used to be Twitter, on Tuesday.

“Sam, Greg, and I have talked and agreed they have a key role to play along with the OAI leadership team in ensuring OAI continues to thrive and build on its mission. We look forward to building on our strong partnership and delivering the value of this next generation of AI to our customers and partners,” he added.

Additionally, Altman expressed his excitement about going back to OpenAI and “building on our strong partnership with [Microsoft].”  in a post on X.

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LG Introduces Smarter Features in 2024 OLED and QNED AI TVs for India

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The much awaited 2024 portfolio of OLED evo AI and QNED AI TVs was unveiled today by LG Electronics India. With their advanced AI capabilities and improved audiovisual experiences, these televisions—which were unveiled at CES 2024 earlier this year—are poised to completely transform home entertainment.

AI-Powered Performance: The Television of the Future

The inclusion of LG’s cutting-edge Alpha 9 Gen 6 AI processor is the lineup’s most notable feature for 2024. Compared to earlier versions, the AI performance can be increased four times thanks to this powerhouse. Beautiful graphics are produced by the AI Picture Pro feature with AI Super Upscaling, and simulated 9.1.2 surround sound is used by AI Sound Pro to create an immersive audio experience.

A Wide Variety of Choices to Meet Every Need

QNED MiniLED (QNED90T), QNED88T, and QNED82T alternatives are available in LG’s 2024 range in addition to OLED evo G4, C4, and B4 series models. With screens ranging from a small 42 inches to an amazing 97 inches, this varied variety accommodates a broad spectrum of consumer tastes.

Features for Entertainment and Gaming to Improve the Experience

The new TVs guarantee an exciting gaming experience with their array of capabilities. Among them include a refresh rate of 4K 144Hz, extensive HDMI 2.1 functionality, and Game Optimizer, which makes it simple to adjust between display presets for various genres. In order to provide fluid gameplay, the TVs also feature AMD FreeSync and NVIDIA G-SYNC Compatible technologies.

Cinephiles will value the TVs’ dynamic tone mapping of HDR material, which guarantees the best possible picture quality in any kind of viewing conditions. Films are shown as the director intended with the Filmmaker Mode, which further improves the cinematic pleasure.

Intelligent and Sophisticated WebOS

Featuring an intuitive UI and enhanced functions, LG’s latest WebOS platform powers the 2024 collection. LG has launched the WebOS Re:New program, which promises to upgrade users’ operating systems for the next five years. This ensures that consumers will continue to benefit from the newest features and advancements for many years to come.

The Cost and Accessibility

The QNED AI and LG OLED evo AI TVs for 2024 have pricing beginning at INR 119,990. These TVs are available for purchase through LG’s wide network of retail partners in India.

The Future of Home Entertainment

LG Electronics India has proven its dedication to innovation and stretching the limits of home entertainment once more with their 2024 portfolio. With their amazing graphics, immersive audio, and smart capabilities that adapt to changing consumer demands, the new OLED evo AI and QNED AI TVs promise to provide an unmatched viewing experience.

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Anomalo Expands Availability of AI-Powered Data Quality Platform on Google Cloud Marketplace

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Anomalo declared that it has broadened its collaboration with Google Cloud and placed its platform on the Google Cloud Marketplace, enabling customers to use their allotted Google Cloud spend to buy Anomalo right away. Without requiring them to write code, define thresholds, or configure rules, Anomalo gives businesses a method to keep an eye on the quality of data being handled or stored in Google Cloud’s BigQuery, AlloyDB, and Dataplex.

GenAI and machine learning (ML) models are being built and operationalized at scale by modern data-powered enterprises, who are also utilizing their centralized data to perform real-time, predictive analytics. That being said, the quality of the data that drives dashboards and production models determines their overall quality. One regrettable reality that many data-driven businesses soon come to terms with is that a large portion of their data is either , outdated, corrupt, or prone to unintentional and unwanted modifications. Because of this, businesses end up devoting more effort to fixing problems with their data than to realizing the potential of that data.

GenAI and machine learning (ML) models are being built and operationalized at scale by modern data-powered enterprises, who are also utilizing their centralized data to perform real-time, predictive analytics. That being said, the quality of the data that drives dashboards and production models determines their overall quality. A prevalent issue faced by numerous data-driven organizations is that a significant portion of their data is either missing, outdated, corrupted, or prone to unanticipated and unwanted modifications. Instead of utilizing their data to its full potential, businesses wind up spending more time fixing problems with it.

Keller Williams, BuzzFeed, and Aritzia are among the joint Anomalo and Google Cloud clients. As stated by Gilad Lotan, head of data science and analytics at BuzzFeed, “Anomalo with Google Cloud’s BigQuery gives us more confidence and trust in our data so we can make decisions faster and mature BuzzFeed Inc.’s data operation.” “We can identify problems before stakeholders and data users throughout the organization even realize they exist thanks to Anomalo’s automatic detection of data quality and availability.” Thanks to BigQuery and Anomalo’s combined capabilities, it’s an excellent place for data teams to be as they transition from reactive to proactive operations.

“Our shared goal of assisting businesses in gaining confidence in the data they rely on to run their operations is closely aligned with that of Google Cloud. Our clients are using BigQuery and Dataplex to manage, track, and create data-driven applications as a result of the skyrocketing volumes of data. Co-founder and CEO of Anomalo Elliot Shmukler stated, “It was a no-brainer to bring our AI-powered data quality monitoring to Google Cloud Marketplace as a next step in this partnership, and a massive win.”

According to Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud, “bringing Anomalo to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the data quality platform on Google Cloud’s trusted, global infrastructure.” “Anomalo can now support customers on their digital transformation journeys and scale in a secure manner.”

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Soket AI Labs Unveils Pragna-1B AI Model in Partnership with Google Cloud

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The open-source multilingual foundation model, known as “Pragna-1B,” was released on Wednesday by the Indian artificial intelligence (AI) research company Soket AI Labs in association with Google Cloud services.

In addition to English, Bengali, Gujarati, and Hindi, the model will offer AI services in other Indian vernacular languages.

“A key factor in the Pragna-1B model’s pre-training was our collaboration with Google Cloud. Our development of Pragna-1B was both efficient and economical thanks to the utilization of Google Cloud’s AI Infrastructure. Asserting comparable performance and efficacy in language processing tasks to similar category models, Pragna-1B demonstrates unmatched inventiveness and efficiency despite having been trained on fewer parameters, according to Soket AI Labs founder Abhishek Upperwal.”

Pragna-1B, he continued, “is specifically designed for vernacular languages. It provides balanced language representation and facilitates faster and more efficient tokenization, making it ideal for organizations looking to optimize operations and enhance functionality.”

By adding Soket’s AI developer platform to the Google Cloud Marketplace and the Pragna model series to the Google Vertex AI model repository, Soket AI Labs and Google Cloud will shortly expand their partnership even further.

Developers will have a strong, efficient experience fine-tuning models thanks to this connection. According to the business, the combination of Vertex AI and TPUs’ high-performance resources with Soket’s AI Developer Platform’s user-friendly interface would provide the best possible efficiency and scalability for AI projects.

According to the firm, this partnership would also make it possible for technical teams to collaborate on the fundamental tasks involved in creating high-quality datasets and training massive models for Indian languages.

“Our collaboration with Soket AI Labs to democratize AI innovation in India makes us very happy.” Pragna-1B, which was developed on Google Cloud, represents a groundbreaking advancement in Indian language technology and provides businesses with improved scalability and efficiency, according to Bikram Singh Bedi, Vice President and Country Managing Director, Google Cloud India.

Since its founding in 2019, Soket has changed its focus from being a decentralized data exchange for smart cities to an artificial intelligence research company.

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