Geoffrey Hinton, British-Canadian psychologist, computer scientist, and 2018 Turing Award winner in deep learning, has departed the Google Brain team after a decade-long tenure. His research on AI and neural networks dating back to the 1980s has helped shape the current landscape of deep learning, neural processing, and artificial intelligence algorithms with direct and indirect contributions over the years. 2012's AlexNet, designed and developed in collaboration with his students Alex Krizhevsky and Ilya Sutskever, formed the modern backbone of computer vision and AI image recognition used today in Generative AI. Hinton joined Google when the company won the bid for the tiny startup he and his two students formed in the months following the reveal of AlexNet. Ilya Sutskever left their cohort at Google in 2015 to become co-founder and Chief Scientist of OpenAI; creators of ChatGPT and one of Google's most prominent competitors.

In an interview with the New York Times Hinton says that he quit his position at Google so that he may speak freely about the risks of AI, and that a part of him regrets his life's work in the field. He said that during his time there Google has acted as a "proper steward" of AI development, and was careful about releasing anything that might be harmful. His viewpoint on the industry shifted within the last year as Microsoft's Bing Chat took shots at Google's core business, the web browser, leading to Google being more reactionary than deliberate in response with Bard. The concern arises that as these companies battle it out for AI supremacy they won't take proper precautions against bad-faith actors using the technologies to flood the internet with false photos, text, and even videos. That the average person would no longer be able to tell what was real, and what was manufactured by AI prompt.

Alphabet Incorporated's Google AI division has today revealed a planned update for its Bard conversational artificial intelligence chatbot. The experimental generative artificial intelligence software application will become capable of assisting people in the writing of computer code - the American multinational technology company hopes that Bard will be of great to help in the area of software development. Paige Bailey, a group product manager at Google Research has introduced the upcoming changes: "Since we launched Bard, our experiment that lets you collaborate with generative AI, coding has been one of the top requests we've received from our users. As a product lead in Google Research - and a passionate engineer who still programs every day - I'm excited that today we're updating Bard to include that capability."

The Bard chatbot was made available, on a trial basis, to users in the USA and UK last month. Google's AI team is reported to be under great pressure to advance the Bard chatbot into a suitably powerful state in order to compete with its closest rival - Microsoft Corporation. The Seattle-based giant has invested heavily into Open AI's industry leading ChatGPT application. Google's latest volley against its rivals shows that Bard's has become very sophisticated - so much so that the app is able to chew through a variety of programming languages. Bailey outlines these features in the company's latest blog: "Starting now, Bard can help with programming and software development tasks, including code generation, debugging and code explanation. We're launching these capabilities in more than 20 programming languages including C++, Go, Java, Javascript, Python and Typescript. And you can easily export Python code to Google Colab - no copy and paste required." Critics of AI-driven large language models have posited that the technology could potentially eliminate humans from the job market - it will be interesting to observe the coder community's reaction to Google marketing of Bard as a helpful tool in software development.

Giga Computing, a subsidiary of GIGABYTE and an industry leader in high-performance servers, server motherboards, and workstations, today announced a lineup of powerful GPU-centric servers with the latest AMD and Intel CPUs, including NVIDIA HGX H100 servers with both 4-GPU and 8-GPU modules. With growing interest in HPC and AI applications, specifically generative AI (GAI), this breed of server relies heavily on GPU resources to tackle compute-heavy workloads that handle large amounts of data. With the advent of OpenAI's ChatGPT and other AI chatbots, large GPU clusters are being deployed with system-level optimization to train large language models (LLMs). These LLMs can be processed by GIGABYTE's new design-optimized systems that offer a high level of customization based on users' workloads and requirements.

The GIGABYTE G-series servers are built first and foremost to support dense GPU compute and the latest PCIe technology. Starting with the 2U servers, the new G293 servers can support up to 8 dual-slot GPUs or 16 single-slot GPUs, depending on the server model. For the ultimate in CPU and GPU performance, the 4U G493 servers offer plenty of networking options and storage configurations to go alongside support for eight (Gen 5 x16) GPUs. And for the highest level of GPU compute for HPC and AI, the G393 & G593 series support NVIDIA H100 Tensor Core GPUs. All these new two CPU socket servers are designed for either 4th Gen AMD EPYC processors or 4th Gen Intel Xeon Scalable processors.

According to The Information, Microsoft has been working on creating custom processors for processing AI with a project codenamed Athena. Based on TSMC's 5 nm process, these chips are designed to accelerate AI workloads and scale to hundreds or even thousands of chips. With the boom of Large Language Models (LLMs) that require billions of parameters, training them requires a rapid increase of computational power to a point where companies purchase hundreds of thousands of GPUs from the likes of NVIDIA. However, creating custom processors is a familiar feat for a company like Microsoft. Hyperscalers like AWS, Google, and Meta are already invested in the creation of processors for AI training, and Microsoft is just joining as well.

While we don't have much information about these processors, we know that Microsoft started the project in 2019, and today these processors are in the hands of select employees of Microsoft and OpenAI that work with AI projects and need computational horsepower. Interestingly, some projections assume that if Microsoft could match NVIDIA's GPU performance, the cost would only be a third of NVIDIA's offerings. However, it is challenging to predict that until more information is provided. Microsoft plans to make these chips more widely available as early as next year; however, there is no specific information on when and how, but Azure cloud customers would be the most logical place to start.

According to Business Insider, Twitter has made a substantial investment into hardware upgrades at its North American datacenter operation. The company has purchased somewhere in the region of 10,000 GPUs - destined for the social media giant's two remaining datacenter locations. Insider sources claim that Elon Musk has committed to a large language model (LLM) project, in an effort to rival OpenAI's ChatGPT system. The GPUs will not provide much computational value in the current/normal day-to-day tasks at Twitter - the source reckons that the extra processing power will be utilized for deep learning purposes.

Twitter has not revealed any concrete plans for its relatively new in-house artificial intelligence project but something was afoot when, earlier this year, Musk recruited several research personnel from Alphabet's DeepMind division. It was theorized that he was incubating a resident AI research lab at the time, following personal criticisms levelled at his former colleagues at OpenAI, ergo their very popular and much adopted chatbot.

Last Tuesday, Alibaba announced its intentions to put out its own artificial intelligence (AI) chatbot product called Tongyi Qianwen - another rival to take on OpenAI's pioneering ChatGPT natural language processing tool. The Chinese technology giant is hoping to retrofit the new chatbot system into several arms of its business operations. Alibaba had revealed initial plans for chatbot integration earlier this year, and mentioned that it was providing an alternative to the already well established ChatGPT tool. Alibaba's workplace messaging application - DingTalk - is slated to receive the first AI-powered update in the near future, although the company did not provide a firm timeline for Tongyi Qianwen's release window.

The product name "Tongyi Qianwen" loosely translates to "seeking an answer by asking a thousand questions" - Alibaba did not provide an official English language translation at last week's press conference. Their chatbot is reported to function in both Mandarin and English language modes. Advanced AI voice recognition is set for usage in the Tmall Genie range of smart speakers (similar in function to the Amazon Echo). Alibaba expects to expand Tongyi Qianwen's reach into applications relating to e-commerce and mapping services.

Microsoft Corp. on Tuesday announced it is bringing the next generation of AI to cybersecurity with the launch of Microsoft Security Copilot, giving defenders a much-needed tool to quickly detect and respond to threats and better understand the threat landscape overall. Security Copilot will combine Microsoft's vast threat intelligence footprint with industry-leading expertise to augment the work of security professionals through an easy-to-use AI assistant.

"Today the odds remain stacked against cybersecurity professionals. Too often, they fight an asymmetric battle against relentless and sophisticated attackers," said Vasu Jakkal, corporate vice president, Microsoft Security. "With Security Copilot, we are shifting the balance of power into our favor. Security Copilot is the first and only generative AI security product enabling defenders to move at the speed and scale of AI."

Newegg Commerce, Inc., a leading global technology e-commerce retailer, announced today that the company is using ChatGPT to improve its customers' online shopping experience. Introduced in November 2022, ChatGPT from OpenAI is a conversational artificial intelligence (AI) program capable of providing information that improves efficiency in myriad situations.

"We're always evaluating our e-commerce technology to ensure we're providing the best customer experience. Through testing, we've proven that ChatGPT has a practical use for Newegg based on the added quality and efficiency it creates," said Lucy Huo, Vice President of Application Development for Newegg. "We deployed ChatGPT to improve content both on-site and off-site to help customers find what they want and elevate their experience. AI doesn't replace employees, but it adds resources so employees are available to handle more complex projects. We're still in the early phases of AI but the benefits for e-commerce may be substantial."

NVIDIA and key partners today announced the availability of new products and services featuring the NVIDIA H100 Tensor Core GPU—the world's most powerful GPU for AI—to address rapidly growing demand for generative AI training and inference. Oracle Cloud Infrastructure (OCI) announced the limited availability of new OCI Compute bare-metal GPU instances featuring H100 GPUs. Additionally, Amazon Web Services announced its forthcoming EC2 UltraClusters of Amazon EC2 P5 instances, which can scale in size up to 20,000 interconnected H100 GPUs. This follows Microsoft Azure's private preview announcement last week for its H100 virtual machine, ND H100 v5.

Additionally, Meta has now deployed its H100-powered Grand Teton AI supercomputer internally for its AI production and research teams. NVIDIA founder and CEO Jensen Huang announced during his GTC keynote today that NVIDIA DGX H100 AI supercomputers are in full production and will be coming soon to enterprises worldwide.

We're starting to open access to Bard, an early experiment that lets you collaborate with generative AI. We're beginning with the U.S. and the U.K., and will expand to more countries and languages over time. Today we're starting to open access to Bard, an early experiment that lets you collaborate with generative AI. This follows our announcements from last week as we continue to bring helpful AI experiences to people, businesses and communities.

You can use Bard to boost your productivity, accelerate your ideas and fuel your curiosity. You might ask Bard to give you tips to reach your goal of reading more books this year, explain quantum physics in simple terms or spark your creativity by outlining a blog post. We've learned a lot so far by testing Bard, and the next critical step in improving it is to get feedback from more people.

We've created GPT-4, the latest milestone in OpenAI's effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5's score was around the bottom 10%. 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 (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

Over the past two years, we rebuilt our entire deep learning stack and, together with Azure, co-designed a supercomputer from the ground up for our workload. A year ago, we trained GPT-3.5 as a first "test run" of the system. We found and fixed some bugs and improved our theoretical foundations. As a result, our GPT-4 training run was (for us at least!) unprecedentedly stable, becoming our first large model whose training performance we were able to accurately predict ahead of time. As we continue to focus on reliable scaling, we aim to hone our methodology to help us predict and prepare for future capabilities increasingly far in advance—something we view as critical for safety.

During a round of layoffs totaling some 10,000 employees Microsoft has kicked one of its AI ethics teams to the curb. This development comes off the heels of high profile launches for generative AI systems, extended partnerships, and further integrations of AI services into Edge and Bing. The team was not large, having been cut down in size back in October during a reorganization, but still made an impact within Microsoft as a mediator for AI policy and implementations. While the larger Office of Responsible AI that dictates the rules of play for the use of AI within the company remains intact, sources from within stated that the ethics and society team played a more pivotal role in ensuring the rules were applied during design and development of products.

These events ring familiar tones to those which occurred at Google in 2020, when ethical AI researcher Timnit Gebru was removed after publishing a critical overview of the large language models now popular in products such as OpenAI's ChatGPT. This cascaded through the company as several other leading members left amidst the turmoil. These events marred Google's reputation and raised concerns over the company's credibility regarding responsible use of AI, and as we're still mentioning it have had lasting impacts on their brand.

According to TrendForce's latest survey of the server market, many cloud service providers (CSPs) have begun large-scale investments in the kinds of equipment that support artificial intelligence (AI) technologies. This development is in response to the emergence of new applications such as self-driving cars, artificial intelligence of things (AIoT), and edge computing since 2018. TrendForce estimates that in 2022, AI servers that are equipped with general-purpose GPUs (GPGPUs) accounted for almost 1% of annual global server shipments. Moving into 2023, shipments of AI servers are projected to grow by 8% YoY thanks to ChatBot and similar applications generating demand across AI-related fields. Furthermore, shipments of AI servers are forecasted to increase at a CAGR of 10.8% from 2022 to 2026.

Yesterday, Microsoft held a conference showcasing its next-generation AI solutions in partnership with OpenAI. Among them, the company showed that it is making steady progress toward integrating Large Language Models (LLMs) in the Bing search engine, which will appear soon. What is interesting about the future release is the new functionality and capability of LLM, which Microsoft says is much more potent than an existing solution like ChatGPT. OpenAI's ChatGPT is not suited particularly well for search engines and its capabilities, which is why Microsoft's next-generation Bing will use a custom LLM called Prometheus Model, envisioned for advanced search capabilities.

As the company notes, Prometheus will show users relevant search results and allow up to 1000 character input in the chat. Even when the model doesn't know the answer, it will not hallucinate and produce false results. Instead, Prometheus will point the user to further reading, allowing for a safer and more accurate search experience. Currently, anyone can go to Bing.com and join the waitlist to try out the preview of the upcoming Bing Chat. Microsoft Consumer Chief Marketing Officer Yusuf Mehdi said, "We're going to scale the preview to millions in the coming weeks." A mobile-tailored preview is coming soon as well.

OpenAI's ChatGTP has reportedly reached an astonishing 100 million monthly active users in the heating wars of AI. This figure is achieved after a few months of availability, and big tech companies are pressured to respond. Today, we have information that Google will release a model similar to ChatGTP called Bard AI. Based on Language Model for Dialogue Applications (LaMDA) that Google introduced over two years ago, the Bard AI solution will integrate with Google search to access the latest information around the web. Currently in preview for private testers, Bard AI will roll out to the public in the coming weeks as the demand for Large Language Models that are in chat format soars.

Google CEO Sundar PichaiBard seeks to combine the breadth of the world's knowledge with the power, intelligence and creativity of our large language models. It draws on information from the web to provide fresh, high-quality responses. Bard can be an outlet for creativity, and a launchpad for curiosity, helping you to explain new discoveries from NASA's James Webb Space Telescope to a 9-year-old, or learn more about the best strikers in football right now, and then get drills to build your skills.

Today, we are announcing the third phase of our long-term partnership with OpenAI through a multiyear, multibillion dollar investment to accelerate AI breakthroughs to ensure these benefits are broadly shared with the world.

This agreement follows our previous investments in 2019 and 2021. It extends our ongoing collaboration across AI supercomputing and research and enables each of us to independently commercialize the resulting advanced AI technologies.