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Elon Musk to Create TruthGPT to Counter AI Bias

Elon Musk to create TruthGPT
Image Credits: BBC

In an interview with Fox News anchor Tucker Carlson, Musk revealed his plans to develop “TruthGPT,” a replacement for the well-known AI chatbot ChatGPT. TruthGPT will be a “maximum truth-seeking AI that tries to understand the nature of the universe.” According to Musk, an AI that seeks to comprehend humanity is less likely to end it.

Additionally, Musk expressed concern that ChatGPT is being trained to be politically correct. Musk also spoke in favor of AI legislation in the first of a two-part interview with Carlson, calling himself a “big fan.” He referred to AI as “more dangerous” than vehicles or rockets and claimed it may wipe out humans. 

Recently, Musk incorporated a new company, X.AI Corp. According to the Nevada Secretary of State’s office website, the company was established on March 9. Musk is listed as its director, while Jared Birchall, a trusted advisor, is listed as its secretary. 

Read More: How Students Can Make The Best Use Of Technology To Enhance Learning Capacities

For many years, Musk has been vocal about his views on artificial intelligence and has criticized other industry titans, such as Mark Zuckerberg and Bill Gates, for having what he has called a “limited” grasp of the subject.

Musk co-chaired the board of OpenAI, the startup that created ChatGPT, and was an early investor in the company. OpenAI was established in the year 2015 as a nonprofit AI research center. But Musk only remained there for a short time, leaving the board in the first quarter of 2018, which the San Francisco startup attributed to Tesla’s efforts to develop automated driving technologies.

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Scammers Use AI to Clone Girl’s Voice in Kidnapping Scam

Scammers use AI clone girl’s voice kidnapping scam
Image Credits: Edge

A mom from Arizona claims that in a $1 million kidnapping scam, con artists cloned her daughter’s voice using artificial intelligence. The mom, Jennifer DeStefano, received a call from an unknown number while her 15-year-old daughter Briana was on vacation skiing. 

Ms. DeStefano reported that as soon as she picked up the phone, she could hear her daughter’s voice crying and sobbing, saying, “Mom, these bad guys have me. Help me, please.”

Later, a man’s voice said, “Listen here, I’ve got your daughter. This is how it will proceed. If you call the cops or anyone, I’m going to inject her with so many medications. I’m going to treat her as I want and then drop her off to Mexico.”

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She continued by saying that she could hear her daughter screaming for help in the distance. The kidnapper then asked for $1 million to release the teen. DeStefano responded that she didn’t have that much money, and the kidnapper agreed to release the child for $50,000 instead.

DeStefano continued, saying that she and other mothers were present at her daughter’s dancing studio when she received the call. While the others called DeStefano’s husband, one of them dialed 911. It was determined within minutes that her teenage daughter was secure on her skiing trip. The mother claimed that her daughter’s voice sounded just like hers on the phone.

A police inquiry into the situation has now begun. The con artists have not yet been located or captured. 

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Amazon Launches New Generative AI Service Bedrock 

Amazon Launches Generative AI Service Bedrock
Image Credits: Info Age

Amazon has released a brand-new artificial intelligence platform called Amazon Bedrock with the goal of giving Amazon Web Service (AWS) users the exposure to a set of generative AI tools. It can be used to create chatbots, produce and summarize text, and categorize images in response to a prompt.

Users of Bedrock can complete tasks by choosing from a variety of machine learning models known as “foundation models,” such as Amazon Titan, Stability AI’s Stable Diffusion, and Jurassic-2.

The platform is meant to be a competitor for other products from businesses in the generative AI market such as OpenAI. Bedrock’s goal is to assist AWS users in the creation of targeted advertising campaigns for their goods as well as the creation of product-related online content, display adverts, and social media posts.

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According to Amazon CEO Andy Jassy, who sees large language models (LLMs) and generative AI technologies as revolutionary, Amazon will be “investing heavily” in these fields. This was revealed in his annual shareholder letter. 

Amazon’s entry into the generative AI market comes after similar steps by other corporate behemoths like Microsoft and Google, who earlier this year introduced their own iterations of generative AI chatbots.

Only a few AWS customers have access to a preview of Amazon’s generative AI toolbox. Coda, a provider of AI document generating services for clients like Uber and the New York Times, is one business that uses Bedrock to extend its operations.

Bedrock is being seen as Amazon’s entry into the field of generative AI. Bedrock provides companies with cutting-edge technologies to transform their processes and spur innovation. Overall, Amazon’s Bedrock AI platform, which enables companies to effectively automate operations and produce content, is positioned to compete in the rapidly expanding field of generative AI. 

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Google CEO Sundar Pichai Warns Against AI Deployment Without Regulation

Google CEO warns against AI deployment without regulation
Image Credits: BBC

In an interview, Sundar Pichai, the CEO of Alphabet and Google, stated that the push to use artificial intelligence technology needed to be carefully regulated to prevent any negative consequences.

When asked what about AI keeps him up at night, Pichai responded, “The urgency to work and deploy it in a beneficial way.” He added, “But at the same time, it can be very harmful if deployed wrongly.” 

“Technology is advancing quickly, and we don’t yet have all the answers,” said Pichai. “Does that keep you up at night, then? Absolutely.” 

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One of the dangers of generative AI that Pichai addressed is the possibility of so-called deepfake videos, in which people can appear to make statements that they did not actually make. Such pitfalls highlight the necessity of regulation, according to Pichai.

Pichai stated that there must be penalties for making deepfake videos that are detrimental to society. He added that anyone who has worked with AI for some time is aware that it is something so unique and complex that social regulations are needed to consider how to adapt. 

Google is striving hard in its efforts to include generative AI—software that can generate text, images, music, and even video—into its products. The promise of the technology is being demonstrated by ChatGPT and another OpenAI product, like Dall-E, and now a plethora of other companies. From Silicon Valley to China’s internet leaders, all are participating in the presentation of their own products. 

Recently, former Google CEO Eric Schmidt urged international IT firms to band together and create guidelines and safety nets, stating that any halt in progress would simply benefit China.

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Musk Creates AI Company X.AI to Rival OpenAI

Musk creates AI company X.AI
Image Credits: Hans India

The Wall Street Journal reports that Elon Musk has launched a brand-new artificial intelligence company called X.AI. Jared Birchall, the director of Musk’s family office, is listed as the company’s secretary, and Musk is now designated as the company’s director. The business was incorporated last month on March 9, 2023, according to a Nevada signing-up.

For days, there have been rumors that Musk is starting an AI company. According to a Business Insider story, Musk reportedly purchased tens of thousands of graphic processing units (GPUs) to assist an upcoming generative AI product. 

Musk allegedly intended to launch an AI business to compete with Microsoft-backed OpenAI, according to The Financial Times. Musk reportedly even solicited SpaceX and Tesla investors for funding to start the company.

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When asked about all the GPUs he had purchased, Musk declined to share his plans to create an AI company, responding instead that “it seems like everyone and their dog is buying GPUs at this point.” The branding of the purported X.AI name is similar to that of the X Corp. name he eventually gave to Twitter and the “X” prefix he gave to his idea of an “everything app.”

In a recent letter, Musk called for a halt to “giant AI experiments.” Musk was vehemently opposed to OpenAI, which he co-founded in 2015 but quit in 2018. Recently, OpenAI has attracted a lot of attention. The recent push by Google and Microsoft to more fully integrate AI tools into many of their businesses can also be partially attributed to this.

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Google’s AI Research Creates Age Predictor Using Deep Learning on Retinal Pictures 

Google’s AI research age predictors using deep learning retinal pictures
Image Credits: Google

A recent study by Google has shown that deep learning models can accurately estimate a person’s biological age from a retinal image and offer new insights into the prediction of age-related diseases. The name of the study is ‘Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock.’ 

The new source code for these models, which are based on previously revealed ML frameworks for processing retinal images, is also being made public by researchers.

De-identified retinal images from numerous primary care clinics were used to train a model to forecast chronological age for participants in a telemedicine-based programme to avoid blindness. The performance of the resulting model was evaluated using a concealed dataset of 50,000 retinal images and the main dataset of about 120,000 images from the UKBiobank. Given the name eyeAge, the model’s predictions closely match people’s actual ages.

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Despite the good connection between eyeAge and chronological age across many samples, the model occasionally predicts a number that is much younger or older than the chronological age. This might indicate that the model is detecting characteristics in the retinal images that are suggestive of actual biological effects connected to age-related illnesses.

This study demonstrates the potential of a retinal aging clock as a tool for studying aging and age-related diseases and quantitatively assessing aging on extremely short time scales, opening the door to a quick and useful assessment of gero-protective medications.

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Microsoft Researchers Show ChatGPT Can Convert Natural Language Instructions Into Executable Robot Actions

Microsoft Researchers ChatGPT Convert Natural Language Instructions Executable Robot Actions
Image Credits: CNN

Researchers from Microsoft recently published a paper that provides a practical example of how ChatGPT may be used in a few-shot scenario to convert natural language orders into a set of actions that a robot can perform. The prompts were designed with the intention of satisfying the requirements characteristic of many real-world applications while also being prepared for simple adaptability.

Researchers created input prompts to urge ChatGPT to: output a sequence of predetermined robot operations with justifications in a readable JSON format in order to satisfy these requirements; formalize the operational environment’s representation; and infer and output the updated operating environment state, which may then be used as the subsequent input. 

This will enable ChatGPT to run entirely off of the memory of the most recent operations. Researchers tested the efficiency of their suggested prompts in diverse situations to infer the right behaviors for multi-stage linguistic instructions through studies. 

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For this study, they listed the following specifications: simple communication with robot execution systems or software for image recognition; applicability in many domestic contexts; and the ability to convey any quantity of instructions in plain English while lessening the impact of ChatGPT’s token restriction.

Researchers found out that ChatGPT’s conversational characteristics let users alter its output using natural language feedback, which is crucial for developing an application that is both secure and resilient while still providing a user-friendly interface. 

The purpose of this study is to provide the robotics research community with helpful information by developing and disseminating generic prompts that are easily adaptable to any experimenter’s needs. They are available on GitHub for free, along with usage instructions, and are open-source.

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Amazon Offers Free Access to its AI Coding Assistant CodeWisper 

Amazon Free Access AI Coding Assistant CodeWisper
Image Credits: CNN

Individual coders may now use Amazon’s AI-powered coding assistant for free, undercutting its Microsoft-made competitor’s $10 monthly fee. 

Amazon said that their CodeWhisperer tool is now accessible to anyone who registers to use it in an article published on Thursday.

Last year, Amazon released CodeWhisperer as a preview, allowing developers to produce lines of code from text-based prompts within a variety of integrated development environments (IDEs), such as Visual Studio Code. 

With the recently released free tier, developers who don’t utilize Amazon Web Services should have much easier access to it than they had before, as it was initially exclusively made available to AWS subscribers.

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CodeWhisperer automatically highlights any code that resembles open-source training data and filters out suggestions that could be biassed or unjust. Additionally, it has security scanning technologies that can find flaws in a developer’s code and offer solutions to plug any security holes they may find.

Python, Java, JavaScript, C, C++, Shell scripting, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, SQL, and Scala are just a few of the languages that CodeWhisperer now supports.

With the release of its Copilot AI tool in June of last year, Microsoft-owned GitHub beat Amazon to the punch.Microsoft only made the tool free for students and developers working on well-known open-source projects. All other users had to pay $10 per month or $100 per year for access, even though the coding assistant similarly creates and advises code from within an IDE. 

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Cabinet Approves AI-enabled ‘Safe Kerala’ Project to Cut Traffic Violations

The Safe Kerala project, which aims to lessen traffic violations and increase safety on the roads, received approval from the state cabinet. The Kerala Road Safety Authority (KRSA) and the department of motor vehicles (MVD) would be in charge of leading the project.

The goal of Safe Kerala is to combine the Motor Vehicle Department and cutting-edge artificial intelligence technology to enforce traffic laws and lessen accidents. With the money approved by KRSA, Keltron will carry out the project. The project is expected to cost a total of Rs 232.25 crore.

In order to regularly (every three months) check on the functionality of the instruments and equipment established at various centres for the project’s execution, the cabinet decided to form a monitoring committee for Safe Kerala.

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The committee will see to it that all cameras and other equipment utilized for this project receive annual maintenance as well as replacement of any obsolete cameras within a set time frame. 

The cameras for this project will be put in locations without police cameras. It will make sure that, should the need arise, the police are provided with access to the data and feeds obtained from these cameras. Artificial intelligence will be used to operate every camera included in the project.

The inspection of automobiles on roads will stop after this initiative is completed. The current methods of traffic enforcement will be replaced with a fully automated system. Currently, the state has 726 such cameras in place. These cameras will be used to spot things like driving without a helmet, driving without a seat belt, driving after an accident (hit-and-run cases), and more.

Recently, the forest department of Kerala deployed an artificial intelligence (AI)-aided system along the highways near Thumboormuzhi, to alert and warn travelers. The newly developed artificial intelligence system is deployed on the Chalakudy-Athirapally- Malakkappara route to help in saving wildlife.

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Meet KissanGPT, an AI Voice Assistant Designed for Indian Farmers

KissanGPT is an AI voice assistant designed by Titodi founder and KissanGPT creator Pratik Desai for questions about agriculture. Even though it’s a relatively new instrument, the Indian government and other industry participants are already interested in it.

KissanGPT adds a knowledge layer on top of GPT3.5 and Whisper models to maximize their potential. Desai frequently collaborates with national agricultural universities to maintain the statistics up to date. 

There are now nine Indic languages supported by the platform, including Gujarati, Marathi, Tamil, Telugu, Kannada, Malayalam, Punjabi, Bangla, and Hindi. The platform also has a voice interface. Assamese and Odia are two other languages that should be added to the list soon.

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Desai chose to make use of his familiarity with the industry because he was raised in an agricultural family. He earned his PhD from Wright State University, and he has extensive experience developing AI/ML solutions for the agricultural sector. 

He previously created a generative AI-based automated labeling system. We produced approximately 20,000 stock photographs using Stable Diffusion within the first month of its availability, Desai claimed. 

He has also developed additional farming-related tools. Desai, who lives in the US, wanted to help Indian farmers back home. This was the idea behind KissanGPT. We’ve been operating in this area for a while, we have a sufficient amount of agricultural data, and we have a close relationship with a farmer, he said. 

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