This Week in Gen AI - Week 18
A summary of Generative AI news from Week no. 18, starting on May 07, 2023
The Generative AI Media, Marketing & Creative Conference
The Generative AI Conference is dedicated to exploring the use of AI in the creative industries, including film, music, video creation, TV, social media, fashion, and video gaming. Attendees will have the opportunity to learn from and network with leading entrepreneurs, intellectuals, technologists, and creatives in this rapidly growing industry.
Over two days, the conference promises to be an engaging and informative event that explores the latest trends and innovations in AI and the creative industries.
Virtual Conference - 8th - 10th May
London Conference - 14th & 15th June, Tobacco Docks, London
Dubai Conference - In Development
Buy Tickets - https://www.eventbrite.co.uk/o/the-generative-ai-conference-62270965693
Join the Community - https://nas.io/gen-ai-con
Book our AI Academy Instructors - pitch.com/public/3f07e244-3cbe-43a7-abef-910b37353cc6
Website - https://generativeaiconference.org
Apply to Speak - https://airtable.com/shr7vfSrcSBVdmvBo
Exhibit your AI Art - https://generativeaiconference.org/ai-art-exhibition
Pitch your Gen AI Startup - https://generativeaiconference.org/startup-pitch-contest
Book a call - https://calendly.com/gen-ai-con
This Week in Generative AI, brought to you by Newsletter AI (The ChatGPT Newsletter Tool). A summary of Generative AI news from Week no. 18, starting on April 30, 2023.
A pot of gold at the intersection of DevOps and generative AI?
Generative AI is being used for creative tasks as well as for enterprise use.
Generative AI is transforming the DevOps landscape to increase efficiencies for tech companies.
Generative AI can help in reviewing and understanding large amounts of data.
Generative AI will automate mundane tasks such as managing deployments and testing.
Investors and Big Tech are betting on the transformative potential of Generative AI.
RSAC 2023: Generative AI Takes the Cybersecurity Industry by Storm
Generative AI was the focus of RSA Conference 2023 in San Francisco.
AI models took center stage, showing the potential for mitigating security threats before they occur.
Startups showcased machine-learning-driven products to detect and prevent cyberattacks.
AI-driven vaccination models for security systems were introduced to reduce cybersecurity risk.
Software with AI-driven systems for early threat detection and remediation is the future of cybersecurity.
Source: Government Technology
Behind EU lawmakers' challenge to rein in ChatGPT and generative AI
Generative AI has recently become a prominent feature in the plans for regulating artificial intelligence technologies.
The European Commission has proposed a set of rules to regulate AI, including stricter requirements for applications using GPT-3 type technologies.
Experts have stated that the rules proposed by the EU may make it difficult for developers to use generative AI.
The European Commission has proposed new rules on data governance and transparency which will apply to applications powered by generative AI.
Companies that use generative AI will be required to complete more rigorous audits if they wish to comply with the European Commission’s proposed rules.
Source: Economic Times
Sneakily Using Generative AI ChatGPT To Spout Legalese And Imply That You've Hired an Attorney, Unsettling for AI ethics and AI law
ChatGPT and other generative AI systems can be used to compose letters containing a language commonly used in legal letters.
The application of such language is to try to intimidate or threaten people.
Using artificial intelligence to craft such intimidating letters has sparked a debate with regards to AI ethics and the potential implications in relation to the law.
AI-composed letters are swiftly gaining acceptance in courts, raising questions about how to monitor and control the usage and implications of these systems.
Deep learning may soon provide AI systems with the potential to autonomously write letters according to a set of rules.
We must perfect predictive models for generative AI to deliver on the AI revolution
“Old School AI” should not be replaced with Generative AI to speed up the AI Revolution.
Generative AI should build upon the already existing “Predictive AI”.
Generative AI needs proven Mathematical Rigor and Quality Assurance to ensure reliable results.
Generative AI should replicate the same essential features of established AI algorithms.
Generative AI has the potential to automate and improve on the efficiency of predictive AI.
How Generative AI Is Changing the Future of Work
Generative AI is a form of Artificial Intelligence that can generate thousands of design options quickly and efficiently.
This allows companies to create new designs, products and processes in a short amount of time.
Generative AI is changing the way we approach problem-solving and new projects.
This technology has the potential to streamline workflows, reduce costs, and eliminate mundane tasks.
Generative AI is impacting workflows in numerous industries and can provide significant advantages in the near future.
Source: Acceleration Economy
How vector databases can revolutionize our relationship with generative AI
Vector databases reduce the need to structure data, increasing the efficiency of AI training.
Vector databases are ideal for large and complex datasets that require scalability, efficiency and speed.
Vector databases enable more natural, organic and efficient data processing than traditional databases.
Vector databases allow for higher accuracy, faster training times and improved productivity in AI development.
Vector databases are expected to revolutionize the relationship between generative AI and industry.
Tech Panics, Generative AI, and the Need for Regulatory Caution
Generative AI is an artificial intelligence system that produces new text, images, and music with minimal input from the user.
Recent advances in generative AI technology has led to both excitement and fear in the tech world.
Generative AI can be used for a variety of potential applications, with potential implications for copyright and privacy.
Regulating the use of generative AI technology may be necessary in order to ensure it is used ethically and safely.
Generative AI could offer numerous societal benefits and new opportunities, but must be carefully managed in order to ensure that these benefits are maximized without resulting in severe unintended consequences.
Source: Centre for Data Innovation
Generative AI is forcing people to rethink what it means to be authentic
Generative AI can create material that looks real, exploiting people's reflexive assumptions of authenticity.
It can realistically produce texts, paintings, images, music, and videos that can be indistinguishable from the real thing.
The technology is already available to the public and is used in various industries, such as gaming and lookalike products.
The implications of generative AI challenge our definitions of what it means to be authentic.
The misuse of AI to spread misinformation raises ethical and legal questions that should be addressed.
Source: The Conversation
Generative AI: Modeling the Right Integration Plan
Generative AI is a powerful tool, but successful integration requires more than just technology.
Elements of successful integration plans include people, operations, and governance.
Organizations need to consider the team, tools, and processes to make the most of their AI investments.
AI solutions should share the same platform, registry and feedback loops to maximize effectiveness.
Organizations need to create trust and establish transparency and governance processes around how data projects are used.
Generative AI Tools Can Save Time, Increase Productivity for PR Pros
PRNEWS highlights several generative AI tools that can save time and increase productivity for PR professionals.
ChatGPT is a generative AI tool that enables natural language conversations powered by AI-driven technology.
Articool.AI is a tool which provides automated translations and helps identify influential people to target for press management.
MindMeld is a tool that helps generate ideas for PR projects and campaigns by providing AI-supported recommendations.
Quill uses natural language generation (NLG) to generate billions of high-quality insights that previously would have taken lengthy written work.
5 Amazing Ways How Meta (Facebook) Is Using Generative AI
Meta is using Generative AI to revolutionize advertising, chat systems, image generation, and natural language processing.
Generative AI mimics real-world data and produces content based on context and perceptions.
Meta uses Generative AI to create personalised customer experiences and increase efficiencies.
Generative AI can also produce novel content and ideas, enabling efficient problem-solving.
Generative AI will shape the future of marketing, enabling companies to develop creative solutions again and again.
Where is India in the generative AI race?
India's startup ecosystem is facing an uphill battle in the high-stakes race for supremacy in the field of generative AI.
India is one of the largest markets for AI yet lags behind other countries in terms of advancements in the field.
Despite having a number of AI-focused startup initiatives, India is yet to develop a business model that can successfully monetize the nascent industry.
Regulations and policy are essential to drive potential in the AI sector, and the Indian government has responded positively to these calls.
India needs more talent, investment and resources to capitalize on its potential in the generative AI race.
Samsung bans use of generative AI tools like ChatGPT after April internal data leak
Samsung is banning the use of generative AI tools, ChatGPT in particular, on company-owned devices and internal networks.
The ban came after an internal data leak in April.
ChatGPT is an AI tool that was developed for people to use natural language to interact with chat bots.
The leak included a mix of sensitive and confidential information from Samsung over the internet.
Samsung has yet to comment on the ban.
As Generative AI Gets Hotter, KKR Bets on Keeping Data Centers Cool
Private equity firm KKR has invested in a company called LiquidStack, which produces a unique liquid cooling system for data centers.
Liquid cooling systems are becoming increasingly popular as AI and other computer-intensive applications generate more heat, putting a strain on traditional air-cooling systems.
LiquidStack's technology uses a dielectric liquid to cool servers directly, allowing for more efficient cooling and greater energy savings.
The investment from KKR will help LiquidStack expand its business and bring its technology to a wider range of customers.
As AI and other data-intensive applications continue to grow, companies like LiquidStack are poised to become increasingly important in the data center industry.
Generative AI Won't Take Off Without 6G
As AI advances, organizations need to explore where 5G stops and 6G should begin.
Generative AI needs 6G networks to be successful.
6G networks will allow for the large capacity and zero-latency generative AI models require.
6G networks are expected to include advanced antennas, small cells and terahertz (THz) technology.
6G networks are expected to have a much larger amount of spectrum than current 5G networks.
UK's antitrust watchdog announces initial review of generative AI
The UK's Competition and Markets Authority (CMA) has launched a review of the potential harms and benefits of generative AI, which involves machines creating new content or products.
The review will focus on how generative AI could impact competition, consumer welfare, and innovation in different sectors, such as healthcare, finance, and creative industries.
The CMA will also consider the ethical and legal implications of generative AI, including issues around intellectual property rights, data privacy, and bias.
The review will involve consultation with businesses, academics, and other stakeholders, and is expected to take around six months.
The outcome of the review could lead to recommendations for new regulations or guidelines to ensure that the use of generative AI does not harm competition or consumer interests.
Nova is building guardrails for generative AI content to protect brand integrity
Nova is developing a platform to provide guardrails for generative AI content.
These guardrails are intended to assess the quality and integrity of marketing content.
Nova uses AI-powered content analysis and scoring, allowing for automated evaluation and approval.
The platform personalizes evaluations, with custom score thresholds, allowing for brand-specific guardrails.
Nova focuses on creating a "trusted process" of generative content, with security and privacy standards.
Spawning lays out plans for letting creators opt out of generative AI training
Spawning AI is a startup creating tools to enable creators to opt out of generative AI training.
Spawning AI has raised fresh capital and released a product.
This product is called Spawning Out.
Spawning Out would allow the creator's ideas to remain the same without any alterations or embellishments.
The tool has been launched with a major online 3D marketplace and its creator partner program.
TCS to harness vast data troves to build ChatGPT-like generative AI tech
TCS is creating their own proprietary generative AI solutions.
The solution will be built using in-house algorithms.
Large language modelling functions similar to generative AI will be used.
This will allow for natural language processing across multiple domains and multiple tasks.
ChatGPT is the equivalent of this solution and is a product from Google’s AI research division.
Source: Economic Times
As generative AI finds its footing in enterprise products, how will companies charge for its use?
Marketing software company HubSpot has reported better-than-expected Q1 earnings, with revenue up 47% year-on-year to $455 million.
The company has credited much of its growth to the use of generative AI in its products, which help customers automate and optimize their marketing campaigns.
HubSpot's generative AI tools include content creation software that can generate blog posts, social media updates, and other content based on user inputs.
The company has also invested in machine learning models that can predict which marketing tactics are likely to be most effective for specific target audiences.
HubSpot's success highlights the growing importance of AI and automation in the marketing industry and suggests that companies that embrace these technologies may have a competitive advantage.
How Generative AI Changes Productivity
HBR editors Adi Ignatius and Amy Bernstein analyze how generative AI is transforming the way we work.
Weekly episodes feature conversations with experts and executives on specific applications of generative AI.
Topics include AI’s potential applications in drug discovery, data analysis, and the job market.
The focus of the series is on how generative AI brings unprecedented productivity gains to business, society, and culture.
Debates possible pitfalls and ethical implications of the AI revolution.
Source: Harvard Business Review
How generative AI is building better antibodies
Scientists have used generative artificial intelligence (AI) to suggest mutations that boost the potency of antibodies against viruses such as SARS-CoV-2 and ebolavirus.
Researchers hope that generative AI will speed up development and help to unlock antibody drugs for targets that have resisted conventional design approaches.
The generative AI tools used in this study are neural networks called protein language models, which were trained on tens of millions of protein sequences.
Many of the suggested changes to antibodies occur outside the regions of the protein that interact with its target, which are usually the focus of engineering efforts, suggesting that the model is reaching for information that is largely non-obvious.
While researchers are making progress in using AI to design completely new antibodies, a key challenge is the ability of floppy loops in the antibody structure to recognize a particular target, which has proved difficult to model with AI.
Generative AI brings new risks to everyone. Here's how you can stay safe
Generative AI, such as ChatGPT, is becoming increasingly popular.
Potential implications of AI need to be explored by organizations.
AI can break privacy laws and create competition issues.
Organizations should use AI responsibly & validate data.
Consumers should remain vigilant about their data privacy.