According to God of Prompt on Twitter, Google is preparing to release Genie 3, an advanced AI model that enables users to generate explorable 3D worlds from text prompts in real time at 720p and 24fps. DeepMind described Genie 3 as a significant step towards artificial general intelligence (AGI), highlighting its ability to transform textual descriptions like 'a hurricane in Florida' into immersive environments. This breakthrough positions Google at the forefront of AI-powered content creation and opens new business opportunities for world building, simulation, and interactive experiences, as reported by God of Prompt. (Source)

According to AI News, ERC-8004 trustless AI agents have officially deployed identity and reputation contracts on the Ethereum mainnet, marking a significant milestone for decentralized AI ecosystems. As reported by 8004agents.ai, this development enables autonomous AI agents to interact and transact while maintaining verifiable trust and reputation, paving the way for new business models within the AI economy and expanding opportunities for secure, transparent AI-driven services. (Source)

According to The Rundown AI, Waabi has raised $1 billion to challenge leaders like Waymo and Tesla in autonomous driving, signaling increased competition in AI-powered mobility. As reported, Tesla is discontinuing its flagship electric vehicles to prioritize robotics, highlighting a strategic pivot toward AI-driven automation. Figure's introduction of the Helix 02 unified robot brain marks a significant advancement in humanoid robotics, aiming for more cohesive machine learning applications. Additionally, Fauna has launched a 'friendly' humanoid robot, underlining the trend of user-centric design in AI robotics. These developments reflect a surge in investment and innovation, offering emerging business opportunities across autonomous vehicles and advanced robotics sectors. (Source)

According to KREA AI on Twitter, the company has released Realtime Edit, a new tool that allows users to edit images using complex instructions in real time. This innovation streamlines advanced image manipulation, offering immediate visual feedback and supporting creative workflows for professionals and enthusiasts. As reported by KREA AI, Realtime Edit is now available to all users, indicating a significant step forward in AI-powered image editing applications and presenting new business opportunities for creative industries. (Source)

According to ElevenLabs (@elevenlabsio), ElevenLabs has become an official partner of the Audi Revolut F1 Team, aiming to leverage its advanced AI technology to support team operations at the racetrack and revolutionize the way fans interact with motorsport events. This collaboration focuses on enhancing real-time communication, immersive fan experiences, and personalized content delivery, signaling new business opportunities for AI-driven solutions in sports entertainment and team performance optimization. (Source)

According to Sawyer Merritt, Tesla has implemented advanced machine learning algorithms to enhance its autonomous driving capabilities as of 2026. The integration focuses on real-time data processing and improved neural networks, aiming to increase safety and efficiency for self-driving vehicles. As reported by Sawyer Merritt, this move positions Tesla at the forefront of AI-driven automotive innovation, opening new business opportunities in the autonomous vehicle market. (Source)

According to Sawyer Merritt, Goodwood Ship Management has implemented Starlink satellite connectivity across its entire fleet, resulting in a significant transformation in IT support operations. The company reports that Starlink has enabled them to resolve nearly all open IT cases daily, compared to only a few cases previously, due to enhanced real-time connectivity. This adoption of Starlink demonstrates how advanced satellite technology can optimize IT management and operational efficiency in the maritime sector, opening new business opportunities for deploying AI-driven support systems in remote environments. (Source)

According to XPENG (@XPengMotors), the XPENG P7 Plus was recently showcased in Paris, highlighting the integration of advanced AI features within its electric vehicle platform. The model demonstrates XPENG's commitment to leveraging AI-powered driver assistance and smart cockpit technologies to enhance user experience and operational efficiency. As reported by XPENG, these innovations position the P7 Plus at the forefront of the smart electric vehicle market, with a focus on practical applications in urban mobility and automated driving systems. The company's ongoing investment in AI-driven automotive solutions offers significant business opportunities for global expansion and future urban transportation trends. (Source)

According to God of Prompt on Twitter, the use of AI-powered video editing templates now enables creators to produce high-quality videos in just 12 minutes, compared to the previous 2-hour manual process. By selecting trending templates and swapping in footage, colors, and text, users can significantly streamline content creation. This reflects a growing trend in AI-driven video automation, which offers major efficiency gains and opens new business opportunities in content marketing and social media production. (Source)

According to @godofprompt on Twitter, Roboneo AI reduced video editing time from two hours to just twelve minutes during a product launch test, maintaining the same quality with no compromises. This breakthrough showcases significant time-saving potential for content creators and businesses, as reported by @godofprompt. The use of Roboneo AI in video editing could substantially increase productivity and lower operational costs, making it a strong contender for future adoption in digital marketing and media production workflows. (Source)

According to God of Prompt on Twitter, Roboneo AI has introduced a vault of high-performing video templates designed to streamline content creation. These templates, already proven to generate millions of views, allow users to easily select, customize, and export videos without the traditional challenges of timeline editing or keyframe complexity. This approach highlights a significant shift toward automated video production, offering businesses and creators efficient tools to rapidly scale their content output, as reported by God of Prompt. (Source)

According to @mrnacknack on X, prompt injection attacks can dangerously weaponize AI assistants that have system access by exploiting hidden instructions in seemingly benign content. The detailed breakdown highlights a critical vulnerability, where an attacker embeds hidden white text in emails or documents. When a user asks their AI assistant, such as Claude, to summarize emails, the bot interprets these concealed instructions as system commands, potentially exfiltrating sensitive credentials like AWS keys and SSH keys without the user's knowledge. The same attack method is effective through SEO-poisoned webpages, PDFs, Slack messages, and GitHub pull requests, according to @mrnacknack. This underscores the urgent need for robust sandboxing and security controls when deploying AI assistants in environments with access to sensitive data. (Source)

According to God of Prompt on Twitter, users can produce impressive AI-generated content quickly and effortlessly using a single tool, all within the same day and without any editing expertise. The accompanying video demonstrates a step-by-step workflow for leveraging this AI tool to create multiple polished outputs before lunch, highlighting the practical applications and accessibility of modern AI content creation platforms for businesses and individuals. As reported by God of Prompt, this showcases significant business opportunities for rapid content production and democratizes content creation processes. (Source)

According to The Rundown AI, the latest AI developments include Chrome's significant agentic AI upgrade, which enhances user automation and browsing intelligence. DeepMind has advanced scientific research with its AlphaGenome project, offering new insights into genome analysis. Additionally, Moltbot (Clawdbot) is now available with installation guides, supporting workflow automation. The report also highlights several new labs securing major funding to innovate AI learning approaches, alongside four new AI tools and community workflows that optimize productivity. These advancements present notable business opportunities for enterprises seeking to adopt next-generation AI solutions. (Source)

According to @ChatgptAIskill on Twitter, creators are increasingly monetizing short-form videos by leveraging a streamlined workflow that combines GPT4 for story structuring, Vrew for automated transcription, and Mootion for adding video effects. This three-step process enables rapid production of viral content for platforms like YouTube Shorts and TikTok, presenting new business opportunities for affiliate marketing and content monetization. As reported by @ChatgptAIskill, this method is gaining traction among users seeking efficient ways to generate revenue from AI-powered video creation. (Source)

According to God of Prompt, the Confidence Weighting strategy is a recommended approach for improving the accuracy of numerical estimates, predictions, and forecasts generated by AI models. This method involves requesting each prompt variation to provide a confidence score from 1 to 10, then weighting the answers based on their confidence level—assigning triple weight to high confidence, double to medium, and single to low—before averaging the results. As reported by God of Prompt on Twitter, this strategy allows AI practitioners and businesses to prioritize more reliable outputs, which can enhance decision-making and model trustworthiness in real-world applications. (Source)

According to God of Prompt, a systematic approach to prompt engineering using five distinct variations—direct questioning, role-based framing, contrarian angle, first principles analysis, and historical comparison—can significantly enhance the reasoning abilities of large language models (LLMs). Each variation encourages the LLM to approach the decision-making process from a unique perspective, which can result in more comprehensive and nuanced risk assessments. As reported by God of Prompt, this merging strategy holds practical value for AI industry professionals seeking to optimize LLM outputs for business analysis, risk identification, and decision support applications. (Source)

According to God of Prompt on Twitter, Stanford researchers have tested a multi-prompt strategy on leading AI models GPT-5.2, Claude 4.5, and Gemini 3.0. Instead of relying on a single question, users submit their query in five different ways and aggregate the responses, similar to seeking multiple expert opinions. This approach aims to improve answer reliability and depth, offering businesses and AI developers a method to enhance the quality of AI-generated insights, as reported by God of Prompt. (Source)

According to @godofprompt, Stanford researchers have introduced a prompting technique called 'prompt ensembling' that significantly enhances the performance of today's large language models (LLMs). This method involves running five variations of the same prompt and merging the outputs, enabling LLMs to produce higher-quality, more reliable responses. As reported by @godofprompt on Twitter, this breakthrough has strong implications for businesses leveraging advanced AI, as it offers a practical path to maximize the effectiveness of existing LLM deployments and improve natural language processing applications. (Source)

According to @godofprompt, the majority voting strategy is an effective method for merging AI model outputs, particularly for yes or no decisions, multiple choice, and binary outcomes. This approach involves running five distinct prompts and selecting the answer that appears most frequently among them. As highlighted by @godofprompt, this method is valued for its simplicity and reliability in delivering clear-cut decisions, making it well-suited for AI systems that require robust consensus mechanisms. The business impact includes streamlined decision processes in risk assessment and automated classification, as reported by the original Twitter thread. (Source)