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<Google’s AI Future, Human vs AI Costs, Fake Biden Call

Welcome, AI enthusiasts.

 2024 is set to be an exciting year for AI and robotics. Let’s dive in..

In today’s Generative AI Newsletter:

  • Leaked Details on Google’s AI Goals for 2024

  • Humans Still Cheaper Than AI

  • Fake ‘Biden’ Robocall Tells New Hampshire Democrats to Stay Home

  • Bonus: Free AI Courses

Data quality: From mess to YES in 2 minutes

In this video, there is a dataset from Kaggle that contains over 30k records with salary information for different roles, including the respondents’ location.

Unfortunately, the data quality isn’t great. For example, the field ‘Location’ is highly inconsistent: In the original data, the city of Chicago is shown in 17 different ways. Yes, you could just manually go through and fix every single city, but that doesn’t sound like fun.

Simply 𝐮𝐩𝐥𝐨𝐚𝐝 the file, 𝐭𝐞𝐥𝐥 Wandy to add two new fields for City and State, then have Wandy 𝐟𝐢𝐥𝐥 𝐭𝐡𝐞𝐦 in based on the ‘Location’ field. Finally, 𝐚𝐬𝐤 for a Link to download the updated CSV. After a minute or two, 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞 an updated file and can 𝐠𝐞𝐭 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐜𝐥𝐞𝐚𝐧 𝐝𝐚𝐭𝐚.

Try it for free at wand.ai

Leaked Details on Google’s AI Goals for 2024

Highlights

A leaked internal document from Google has revealed the company’s primary objective for 2024: to develop and deliver the most sophisticated, secure, and ethically responsible AI in the world.

Key Points:

Google is striving to become a leader in AI capability and safety but currently trails behind competitors such as OpenAI and Microsoft.

Anticipated layoffs aim to allocate more resources towards aggressive AI projects, causing unease among staff following remarks by CEO Sundar Pichai.

Despite its efforts, Google’s AI products like Bard have not achieved significant popularity, and the company still lacks a standalone AI success akin to ChatGPT.

The proliferation of AI-generated spam poses a risk to Google’s fundamental search business, although the expected adverse effect on search revenue from AI chatbots has not materialized.

Importance:

Google is under intense pressure to advance in AI to keep its cloud and search leadership, but achieving these ambitious goals is uncertain amidst continuous layoffs and talent loss, which may lower employee morale.

Humans Still Cheaper Than AI

Highlights

A new study from the Massachusetts Institute of Technology (MIT) explores the present challenges and future possibilities of Generative AI in supplanting human employment.

Key Points:

AI’s Job Replacement Limits: MIT’s study shows only 23% of jobs are economically replaceable by AI, mainly due to high costs in AI-assisted technology versus human labor.

Industry-Specific AI Advantages: Retail, transportation, warehousing, and healthcare see better cost-benefits from AI, hinting at future automation growth in these areas.

Rising Automation Prospects: By 2030, AI could cost-effectively automate up to 40% of tasks, sparking job displacement worries globally, as highlighted by the International Monetary Fund.

Importance:

Despite its present limitations in replacing jobs cost-effectively, AI holds considerable promise for future integration and a substantial impact on employment.

Fake ‘Biden’ Robocall Tells New Hampshire Democrats to Stay Home

Highlights

The 2024 election saw a notable surge in automated phone calls, often known as robocalls, which inaccurately presented themselves as being from President Biden. These calls disseminated deceptive information, potentially influencing the opinions of voters.

Key Points:

AI Misuse in Politics: A robocall using AI to mimic Joe Biden’s voice misleadingly urged Democrats to skip voting in the New Hampshire primary, highlighting the risks of AI in political campaigns.

OpenAI’s Stance: OpenAI, creators of ChatGPT, shut down an account that generated a bot impersonating presidential candidate Dean Phillips, demonstrating their commitment against political manipulation using their technology.

Regulatory Push: This incident has spurred calls for federal regulation of AI in political campaigning. Advocacy group Public Citizen petitioned the FEC for stricter AI rules in campaign ads, leading to discussions about the necessity of congressional action due to the FEC’s slow response.

Importance:

This scenario emphasizes the ethical and regulatory dilemmas confronting the AI sector. It underscores the need for companies such as GenAI to actively implement stringent use policies and work in tandem with regulatory bodies to deter any misuse.

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Explore diffusion models, a physics-inspired machine learning family revolutionizing image generation, in this course that covers their theory, training, and deployment on Vertex AI.

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