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- 🤖 OpenAI Tackles AI Catastrophic Risks
Welcome, AI Enthusiasts.
OpenAI CEO Sam Altman is a noted AI doomsayer, often airing fears
The startup — named after a popular term in 80s gaming and hacker culture — emerged from stealth today with $4 million.
In today’s issue:
🤖 OpenAI Establishes Research Team to Investigate 'Catastrophic' AI Risks, Including Nuclear Threats
📷 Luminar Neo’s New Tool
🛠️ 3 New AI tools
đź’» Custom prompts ChatGPT and DALL-E 3
🤖 3 Quick AI updates
Read time: 5 minutes.
LATEST HIGHLIGHTS
OPEN AI
🤖 OpenAI Tackles AI Catastrophic Risks
Image source: DALL-E
To recap: OpenAI has established a new team called Preparedness, led by Aleksander Madry of MIT's Center for Deployable Machine Learning. This team's primary goal is to assess and mitigate "catastrophic risks" associated with AI systems, including risks related to persuasion, malicious code generation, and even threats in the realms of chemical, biological, radiological, and nuclear dangers. OpenAI is also soliciting ideas from the community for risk studies and offering a $25,000 prize and job opportunities within Preparedness for top submissions. The team will develop a "risk-informed development policy" to ensure the safety of advanced AI models, given the potential for both benefit and severe risks they pose to humanity. This initiative aligns with OpenAI's ongoing efforts to address AI safety, especially in light of concerns about the emergence of superintelligent AI within the next decade.
The details:
Formation of the Preparedness Team: OpenAI has established a new team called Preparedness, led by Aleksander Madry, to assess and address catastrophic risks associated with AI. This team's focus includes evaluating AI systems' abilities to persuade, deceive, and generate malicious code, among other concerns.
Wide Range of Risks: The Preparedness team is tasked with studying a broad spectrum of AI-related risks, which encompass not only typical concerns but also more far-reaching and unconventional areas, such as the potential for AI to be involved in chemical, biological, radiological, and nuclear threats.
Community Engagement: OpenAI is actively engaging the AI community by soliciting ideas for risk studies related to AI misuse. They are offering incentives, including a $25,000 prize and the opportunity to work with the Preparedness team, for the top ten submissions. This demonstrates OpenAI's commitment to collaboration and addressing AI risks collectively.
Here is the key takeaway: OpenAI is taking proactive steps to address and mitigate the risks associated with advanced AI systems, including potential catastrophic scenarios. They have formed the Preparedness team, which will evaluate a wide range of AI-related risks, from deceptive AI behavior to threats in areas like chemical, biological, radiological, and nuclear domains. OpenAI is actively involving the AI community in this effort, seeking ideas for risk studies, and offering incentives for top submissions. This reflects OpenAI's commitment to ensuring the safety of highly capable AI systems and addressing concerns about the emergence of superintelligent AI in the future.
Image source: Skylum
In Summary: Skylum, the company behind Luminar Neo photo-editing software, is introducing generative AI tools to make advanced editing accessible to hobbyist photographers. These tools, GenErase and GenSwap, simplify tasks like object removal and element replacement without the need for text prompts. Skylum aims to release one generative AI tool per month through 2023, with GenErase launching in October. The tools are based on Stable Diffusion and proprietary AI models, offering high-quality image output. Luminar Neo is designed for ease of use, catering to beginners and enthusiasts, and offers multiple pricing tiers. The software relies on cloud processing for its AI features, ensuring customer privacy. Skylum, which has been profitable for several years, maintains a user-friendly approach to photo editing with its software.
Key points:
Skylum's Luminar Neo photo-editing software is introducing generative AI tools to cater to hobbyist photographers, making advanced editing techniques more accessible to a wider audience.
The generative AI tools in Luminar Neo, GenErase and GenSwap, simplify tasks such as object removal and element replacement without the need for text prompts, enhancing the user experience.
Skylum plans to release one generative AI tool per month throughout 2023, with GenErase launching in October. These tools are based on Stable Diffusion and proprietary AI models, resulting in high-quality image output.
Luminar Neo is designed with ease of use in mind, targeting beginners and photography enthusiasts. It offers multiple pricing tiers, cloud-based processing for AI features to protect user privacy, and has been profitable for several years without external funding.
Our thoughts: Skylum's introduction of generative AI tools in Luminar Neo is a significant step towards democratizing advanced photo editing, empowering hobbyist photographers with user-friendly capabilities. With monthly releases of these innovative features, Skylum is poised to provide a fresh and accessible approach to image enhancement, maintaining its reputation for simplicity and quality in the ever-evolving landscape of photo-editing software.
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AI DOJO
Custom ChatGPT and DALL-E 3
🪄 DALL-E 3 (an image generation model):
Visual Summary Creator:
Prompt: "Create a visual summary of the novel '1984' by George Orwell, showcasing the key events and characters."
GPT-4 (a text generation model):
Project Planner:
Prompt: "Generate a step-by-step project plan for creating a community garden, including timelines, resources needed, and potential challenges."
QUICK BYTES
Virtual influencers are on the rise, and startup 1337 (pronounced Leet) is capitalizing on this trend by using generative AI to create a community of AI-driven micro-influencers. These influencers have diverse backgrounds and interests, engaging with niche communities. Users can contribute to their creation and are compensated for their input. The startup offers 50 AI-driven influencers, each with unique traits, interests, and online presence, such as Instagram accounts and Spotify playlists. These "Entities" will officially launch in January 2024 and are created in collaboration with users and AI models. 1337 plans to expand its offerings, including allowing "super creators" to build new Entities and introducing a revenue-sharing model for creators. Additionally, they are exploring options for Entities to speak and host podcasts, with audio capabilities expected in the first half of 2024.
During Meta's Q3 2023 earnings call, CEO Mark Zuckerberg revealed that users and businesses engage in over 600 million interactions per day across Meta's platforms. This statistic highlights Meta's growing emphasis on business messaging as a revenue source. In particular, Meta is exploring the use of generative AI-based bots for business applications like customer support. While Zuckerberg didn't specify the nature of these interactions, he noted that over 60% of WhatsApp users in India interact with business app accounts. This growth in business messaging contributed to Meta's Q3 earnings of $293 million, driven primarily by the WhatsApp Business platform. Meta monetizes business messaging through various means, including charging businesses for conversation sessions and offering click-to-message and click-to-WhatsApp ads. The company is also investing in generative AI to enable businesses to respond to customer inquiries and support queries more efficiently. Zuckerberg sees significant potential in using AI-powered business bots, particularly in markets with higher labor costs, where automation can provide cost-effective customer support.
XPeng, often seen as a Chinese competitor to Tesla, is taking steps to make its XNGP assisted driving feature, equivalent to Tesla's FSD, map-free. Unlike Tesla, which does not rely on high-definition (HD) maps, XNGP initially used these detailed maps for advanced driving capabilities. However, XPeng is now working on a map-free version of XNGP, allowing its urban assisted driving feature to operate without being limited by pre-existing maps or road condition updates. The company plans to roll out this map-free feature in 50 Chinese cities by the end of the year. While XPeng still uses lidar sensors, it is following a trend in China where companies are working to eliminate the reliance on expensive HD maps for autonomous driving systems.
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