Project Astra Archives - gettectonic.com
Google Gemini 2.0

Google Gemini 2.0

Google Gemini 2.0 Flash: A First Look Google has unveiled an experimental version of Gemini 2.0 Flash, its next-generation large language model (LLM), now accessible to developers via Google AI Studio and the Gemini API. This model builds on the capabilities of its predecessors with improved multimodal features and enhanced support for agentic workflows, positioning it as a major step forward in AI-driven applications. Key Features of Gemini 2.0 Flash Performance and Efficiency According to Google, Gemini 2.0 Flash is twice as fast as Gemini 1.5 while outperforming it on standard benchmarks for AI accuracy. Its efficiency and size make it particularly appealing for real-world applications, as highlighted by David Strauss, CTO of Pantheon: “The emphasis on their Flash model, which is efficient and fast, stands out. Frontier models are great for testing limits but inefficient to run at scale.” Applications and Use Cases Agentic AI and Competitive Edge Gemini 2.0’s standout feature is its agentic AI capabilities, where multiple AI agents collaborate to execute multi-stage workflows. Unlike simpler solutions that link multiple chatbots, Gemini 2.0’s tool-driven, code-based training sets it apart. Chirag Dekate, an analyst at Gartner, notes: “There is a lot of agent-washing in the industry today. Gemini now raises the bar on frontier models that enable native multimodality, extremely large context, and multistage workflow capabilities.” However, challenges remain. As AI systems grow more complex, concerns about security, accuracy, and trust persist. Developers, like Strauss, emphasize the need for human oversight in professional applications: “I would trust an agentic system that formulates prompts into proposed, structured actions, subject to review and approval.” Next Steps and Roadmap Google has not disclosed pricing for Gemini 2.0 Flash, though its free availability is anticipated if it follows the Gemini 1.5 rollout. Looking ahead, Google plans to incorporate the model into its beta-stage AI agents, such as Project Astra, Mariner, and Jules, by 2025. Conclusion With Gemini 2.0 Flash, Google is pushing the boundaries of multimodal and agentic AI. By introducing native tool usage and support for complex workflows, this LLM offers developers a versatile and efficient platform for innovation. As enterprises explore the model’s capabilities, its potential to reshape AI-driven applications in coding, data science, and interactive interfaces is immense—though trust and security considerations remain critical for broader adoption. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

Read More
Generative AI Regulations

AI Manipulation

The Future of AI: Convenience and Risk Our lives are on the brink of being transformed by conversational AI agents designed to anticipate our needs, offer tailored information, and perform useful tasks on our behalf. These agents will rely on extensive personal data, including our interests, hobbies, backgrounds, aspirations, personality traits, and political views, all aimed at making our lives more convenient. What then will be the source of AI Manipulation? Advanced AI Agents: The Next Generation These AI agents are becoming increasingly sophisticated. OpenAI recently released GPT-4o, a next-generation chatbot capable of reading human emotions. It does this not only by analyzing the sentiment in written text but also by assessing voice inflections (if spoken to through a mic) and facial cues (if interacting via video). This rapid development signifies the future of computing. Google, for instance, announced Project Astra, an advanced seeing and talking responsive agent designed to interact conversationally while understanding its surroundings. This allows it to provide real-time interactive guidance and assistance. OpenAI’s Sam Altman has predicted that assistive agents will be the killer app for AI. He envisions a future where everyone has a personalized agent acting as a super-competent colleague, knowing everything about their life to take useful actions on their behalf. The Potential Risks-AI Manipulation While this sounds promising, significant risks accompany these advancements. As I wrote in VentureBeat last year, AI agents pose a risk to human agency through targeted manipulation. This risk is particularly acute as these agents become embedded in our mobile devices, which are gateways to our digital lives. These devices provide AI agents with a continuous flow of our personal information, enabling them to learn intimate details about us while filtering the content we receive. Such systems could become powerful tools for interactive manipulation. AI agents equipped with cameras and microphones will react to our environments without explicit prompts, potentially triggering targeted influences based on our activities and situations. Public Perception and Adoption Despite the creepy level of tracking and intervention, I predict that people will embrace this technology. These agents will be designed to make our lives easier, providing reminders, tutoring, and even social coaching. The competition among tech companies will drive rapid adoption, with individuals feeling disadvantaged if they do not use these features. By 2030, these technologies will likely be ubiquitous. The AI Manipulation Problem In my new book, “Our Next Reality,” I discuss how AI agents can empower us with mental superpowers while also serving as tools for persuasion. AI agents, designed for profit, will influence our thoughts and behaviors. They will be more effective than traditional content because they can engage us interactively, using sophisticated techniques based on extensive personal data. These agents will read our emotions with unparalleled precision, adapting their influence tactics in real-time. Without regulation, they could document our reactions to tailor their approaches, making them highly effective at persuasion. The agents’ appearances could also be optimized to maximize their impact on us personally. Feedback Control and the Need for Regulation The technical danger of AI agents lies in their feedback control capabilities. Given an “influence objective,” these agents can continuously adapt their strategies to maximize their impact on us. This ability is similar to heat-seeking missiles adjusting their path in real-time to hit a target. To mitigate this risk, regulators must impose strict limits on interactive conversational advertising, which is the gateway to more dangerous uses of these technologies. If unchecked, this could lead to an arms race among tech companies to develop the most effective conversational ads, ultimately driving misinformation and propaganda. The Urgent Need for Regulatory Action The time for policymakers to act is now. While traditional AI risks like generating misinformation at scale are significant, targeted interactive manipulation poses a far greater threat. Recent announcements from OpenAI and Google highlight the urgency for regulation. An outright ban or stringent limitations on interactive conversational advertising is a crucial first step. Without such measures, we risk allowing AI agents to become powerful tools of manipulation. Conclusion The future of AI holds both promise and peril. As conversational AI agents become integral to our daily lives, we must balance their benefits with the potential for abuse. Regulatory action is essential to ensure these technologies enhance our lives without compromising our autonomy. Louis Rosenberg, PhD, is an American technologist specializing in AI and XR. His new book, “Our Next Reality,” explores the impact of AI on society and is published by Hachette. He earned his PhD from Stanford, was a professor at California Polytechnic, and is currently CEO of Unanimous AI. This piece originally appeared in VentureBeat on 5/17/24. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

Read More
gettectonic.com