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⚖️ Gemini's AI Challenges and the Question of a White Jesus - Unraveling Biased Data's Impact on Representation.
Plus: Sora has hollywood trembling and the rise and risks of AI agents.
The tech world is abuzz with Google Gemini's image hallucination challenges, sparking widespread media attention. Amidst the controversy, we're diving into the potential to uncover hidden human biases. Meanwhile, Sora is sending shockwaves through Hollywood and the rapid advancement of AI agents brings both groundbreaking opportunities and escalating risks.
Lets go in…
Google Gemini's AI Challenges and the Question of a White Jesus - Unraveling Biased Data's Impact on Representation.
Sora's threat to Jobs and a call for Unity.
The Rise of AI Agents and their Risks.
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💰 Follow the Money
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❓Quiz of the Day
What is the primary purpose of a CAPTCHA test on the internet?
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C) To encrypt user data
D) To provide advertisements
Please give us your answer in the comments below.
The correct answer will be given in the next newsletter - Last Week’s Quiz correct answer: “B”
📰 AI News and Trends
Watch this robot as it learns to stitch up wounds (MIT)
Tyler Perry Puts $800M Studio Expansion on Hold After Seeing OpenAI’s Sora: “Jobs Are Going to Be Lost” (Hollywood)
Virtual Staging AI helps Realtors digitally furnish rooms within seconds (TC)
Piers Morgan and Oprah Winfrey 'deepfaked' for US influencer's ads (BBC)
Resurrecting loved ones as AI 'ghosts' could harm your mental health (NewScientist)
🌐 Other Tech news
A bankruptcy judge has ruled that FTX can sell its 7.84% stake in Anthropic to pay creditors (Reuters)
TSMC founder Morris Chang predicts Japan's “chip renaissance” (Nikkei)
Very disturbing and risky. Today’s tech will allow anyone to find your location and whereabouts. “A Marketplace of Girl Influencers Managed by Moms and Stalked by Men” (NYT)
Blockchain & internet glossary (A–Z): Key terms from Read Write Own (a16z)
Inside Beijing's grand plan to dominate the future of electric cars (BI)
Google Gemini's AI Challenges and the Question of a White Jesus - Unraveling Biased Data's Impact on Representation.
Google recently paused its Gemini platform's people image generation feature amid controversies over historical inaccuracies and diversity representation mishaps. The move came after critiques highlighted that the AI struggled to appropriately balance diversity, veering towards either overrepresentation or undue caution, sparking a range of reactions. Some media outlets, including the NY Post, accused Gemini of being overly "woke," while others labeled it racist, pointing to a broader issue of sensationalism in reporting on AI's complex challenges.
Prabhakar Raghavan, Senior VP at Google, provided a detailed explanation, identifying the core issue as the AI's flawed approach to diversity, which led to public dissatisfaction due to misrepresentation. In response, Google is dedicating efforts to refine and rigorously test Gemini, acknowledging the inherent challenges in AI technology and striving for responsible deployment.
This situation underscores a broader reflection on how biases in data programming can shape perceptions and information. For instance, many of us were taught to view historical figures or religious icons through a skewed lens, such as Christopher Columbus as a discoverer or Jesus Christ depicted with European features, despite historical and geographical inaccuracies. These examples parallel the current debate over AI-generated images, reminding us that just as AI models can produce biased or inaccurate "hallucinations," our understanding of history and culture has also been molded by biased information.
The controversy surrounding Gemini's image generation highlights not just a technical challenge for AI development but also an opportunity for societal introspection. It prompts us to question the accuracy of the information we've long accepted and consider the possibility of re-educating ourselves with unbiased data. As we demand more from AI technologies to avoid perpetuating stereotypes or inaccuracies, it's equally crucial for us to confront and rectify the misconceptions embedded in our collective consciousness. This moment could serve as a catalyst for reevaluating the data that has shaped our beliefs and decisions, challenging us to unlearn biases and approach information with a more critical and informed perspective.
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Sora's threat to Jobs and a call for Unity.
Tyler Perry has postponed a massive $800 million expansion of his Atlanta studio due to concerns about the impact of artificial intelligence on jobs, particularly after being impressed by OpenAI's Sora, a text-to-video model. Perry, an actor, filmmaker, and studio owner, highlights the technology's potential to eliminate the need for location shoots and physical sets, thereby affecting a wide range of industry roles from actors to crew members. While recognizing the benefits of AI in filmmaking, including its use in his projects to save time on makeup, Perry stresses the urgency for industry-wide and governmental action to safeguard jobs. He calls for a unified approach to address the challenges posed by AI, emphasizing the importance of considering the human impact behind the technological advancements. Perry's stance reflects a broader concern about AI's rapid development and its potential to disrupt the entertainment industry and beyond, urging for proactive measures to protect workers and the future of the sector.
💰 Follow The Money
$675M raised by Figure AI for their humanoid Robots. Valued at $2B.
$56M secured by Napier AI. Harnesses big data technology alongside artificial intelligence (AI) and machine learning to provide corporate compliance and anti-money laundering (AML) solutions.
$15M obtained by Elve, a Davis, CA-based provider of millimeter wave amplifier technology for wireless connectivity beyond 5G.
$14M amount Haomo raised for autonomous driving tech.
$4M raised by Finpilot, a Seattle startup using generative AI to help financial analysts with research.
📰 Publications I am currently reading and recommending:
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The Rise of AI Agents and their Risks.
Bret Taylor and Clay Bavor, veterans from Salesforce and Google respectively, have launched Sierra, a conversational AI platform, raising $110 million from top investors. Sierra introduces AI "agents" to enhance customer service for businesses, automating interactions to improve efficiency and reduce costs. Unlike typical AI startups, Sierra builds these agents for clients, offering a tailored approach for companies lacking the resources to develop such technologies in-house.
The significance of Sierra's AI agents lies in their potential to revolutionize how businesses engage with customers, offering scalable, personalized customer service solutions. By focusing on custom-built AI, Sierra is paving the way for more adaptable and user-friendly AI applications in the corporate sector, marking a significant step forward in the practical use of AI to boost operational efficiency and customer satisfaction.
However, the advancement of AI technologies like Sierra's brings new security challenges, as illustrated by Pindrop's insights into deepfake threats in call centers. Fraudsters are exploiting synthetic voices and deepfakes to bypass authentication, conduct fraud, and even mimic bank IVRs for smishing attacks. These evolving threats highlight the critical need for advanced security measures alongside the development of conversational AI to safeguard against sophisticated fraud techniques.
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