- Future Perfect
- ✨88. 🖥️The AI operating system race | ☀️clean air startups scaling up | ⚡️quantum LiDAR
✨88. 🖥️The AI operating system race | ☀️clean air startups scaling up | ⚡️quantum LiDAR
PLUS: Generative AI in games ✨ EU AI Act ✨ TDK Ventures expands to EU with $150M clean tech fund ✨ climate tech startup Crux raises $4.25M ✨ Elon Musk predicts full self-driving 'later this year' ✨ role of ICs in AVs
🤖 ARTIFICIAL INTELLIGENCE
Generative AI is a transformative technology with the potential to add $4.4 trillion to the global economy.
Enterprises face challenges in adopting generative AI and need to quickly embrace it before competitors gain an edge.
An "operating system" for generative AI is needed to coordinate the interactions between generative AI applications and other enterprise assets.
Building an operating system for generative AI involves four layers: data, development, runtime, and user experience.
Companies are leveraging foundational large language models (LLMs) and customizing them for specific needs and goals through techniques like fine-tuning and data augmentation.
Developers are using frameworks to enhance the intelligence and autonomy of LLMs by querying structured and unstructured data sources and using embeddings to process unstructured data efficiently.
AI Dungeon, a game using generative AI, raises questions about ownership and copyright of the content generated by the AI.
The game allows players to create narratives with the help of an AI, blurring the lines of authorship.
The current end-user license agreement (EULA) of AI Dungeon is vague about ownership, stating users have ownership of the content they create.
Generative AI systems like AI Dungeon raise concerns about plagiarism and infringement, especially as they incorporate third-party AI tools.
The games industry is facing a copyright crisis as generative AI becomes more prevalent, and legal issues surrounding ownership and authorship become more complex.
Platforms like Roblox are adopting cautious approaches to training data and are considering opt-in mechanisms for user data to train AI.
The European Parliament has passed the draft of the EU Artificial Intelligence Act (AI Act), which imposes safety and transparency restrictions on AI.
The AI Act aims to synchronize AI regulations across EU member states and provide a clearer definition of AI.
The AI Act categorizes applications based on different levels of risk and imposes restrictions on high-risk AI systems.
Generative AI models like GPT-4 have posed challenges for the AI Act, as they were not initially accounted for in the legislation.
Inter-institutional negotiations will take place to finalize the AI Act, with potential adjustments and stronger measures related to generative AI being considered.
In the meantime, existing laws and alternative solutions are being used to regulate AI companies, and other countries have introduced their own rules to address AI-related issues.
⚡️ POWER PROMPTING!
Power Prompting is an awesome new section of Future Perfect showcasing powerful prompt engineering techniques, hacks, and strategies! Here’s today’s Power Prompt!
Let's imagine you're part of an international think tank tasked with strategizing the development and implementation of a long-term initiative related to [insert topic/issue]. Your team is focused on leveraging emergent technologies, socio-economic planning, and international cooperation to achieve your goals.
Please outline a comprehensive and detailed plan that spans the next [insert timescale], taking into account the following considerations:
Contextual Overview: What is the current landscape of the [insert topic/issue]? What are the predicted developments over the next [insert timescale]?
Technology Advancements: How can advancements in relevant technologies be deployed on a large scale for this initiative? What is the potential for new technologies?
Socio-economic Planning: How will the initiative and the adoption of these technologies impact the global economy? How can societies ensure a just transition and inclusive growth?
Policy Recommendations: What international agreements and policy changes are necessary to promote the global adoption of these technologies and socio-economic measures? How can international cooperation be encouraged?
Balancing Different Strategies: Discuss how to balance different strategies that are related to your chosen issue (e.g., preventative measures vs. responsive measures).
Monitoring & Review: Propose a method for the periodic review and revision of this plan based on future developments in the field, technological advancements, and socio-economic changes.
Your detailed response should outline strategies and steps, potential challenges and solutions, and a timeline for the implementation of this plan.
Want to submit your own? Tweet me @MarcHoag!
🤖🔥🤯 COOL AI TOOLS, APPS, VIDEOS, PODCASTS, LINKS, AND MORE!
🌡️ CLIMATE CHANGE & CLEAN ENERGY
Startups focused on cleaner air technologies have raised over $1.2 billion in funding in the past few years.
Several heavily funded companies are working on carbon capture technologies, while others are targeting immediate air quality concerns in specific environments.
Examples include Aclima, which offers a hyperlocal air measurement and analytics platform, and enVerid, which develops ventilation products for indoor air quality improvement.
The global spending on air quality monitoring is projected to exceed $7 billion by 2028, indicating a significant market opportunity.
Acquisitions and public market interest in air quality-focused startups, such as BreezeoMeter and Molekule, demonstrate investor and industry recognition of the sector.
While overall startup investment has declined, climate-focused areas like air quality have shown resilience.
TDK Ventures, the corporate venture capital arm of TDK Corporation, is expanding into Europe with its first office in London.
The company will launch a $150 million Fund EX1 to invest in European and North American-based startups focused on electrification and decarbonization.
TDK Ventures' mission aligns with Europe's climate goals of reducing greenhouse gas emissions and reaching net-zero emissions by 2050.
London was chosen as the European outpost due to its strong venture capital density, startup ecosystem, and climate-tech funding.
The company received support from the UK Government Department for Business and Trade's Venture Capital Unit.
TDK Ventures aims to support the transition to electrification and decarbonization by leveraging breakthroughs in materials science and advanced manufacturing.
DC-based climate tech startup Crux has raised $4.25 million in funding for its platform that facilitates the sale of transferable tax credits from clean energy projects.
The round was led by Ardent Venture Partners, with participation from existing investors and new investors including Ørsted, LS Power, and Hartree Partners.
Crux was founded by Alfred Johnson and Allen Kramer, who previously founded and sold the software company Mobilize.
The company's platform allows clean energy developers, tax credit buyers, and financial institutions to manage and exchange tax credits, enabling funding for new clean energy projects.
With the funding, Crux plans to expand its team and further develop its platform into a marketplace that accommodates the role of the syndicator.
The company received significant interest after its initial round of funding and official launch in April.
🚗 AUTONOMOUS & ELECTRIC VEHICLES
Driverless cars currently use lasers for object detection, but bright light from the sun or nearby vehicles can interfere with the system.
Quantum lidar, which uses entangled photons instead of lasers, could improve object detection for autonomous vehicles.
Lidar works by emitting laser pulses and measuring their reflections to determine object distances.
Quantum lidar has the potential to mitigate interference from bright light sources, enhancing collision avoidance capabilities.
By utilizing entangled photons, quantum lidar could provide more reliable and accurate object detection for driverless cars.
Further research and development are needed to explore the practical implementation of quantum lidar in autonomous vehicles.
Elon Musk, CEO of Tesla, stated that fully autonomous vehicles are expected to be realized "later this year."
Musk made the announcement via video link at an artificial intelligence conference in Shanghai.
He acknowledged previous timeline predictions and regulatory probes but expressed confidence in achieving full self-driving capabilities.
China, as the largest electric vehicle market, holds strategic importance for Tesla, which plans to build a second factory in Shanghai.
Electric vehicles represent a significant portion of car sales in China, and competition in the market is increasing.
Tesla reported a decrease in first-quarter earnings and implemented price cuts to stay competitive.
Integrated circuits, or microchips, play a crucial role in enabling autonomous vehicles to operate without human intervention.
These tiny electronic devices are the building blocks of modern electronics, allowing for miniaturization, integration, and improved performance.
Integrated circuits are used in sensors to convert analog signals into digital data and in the vehicle's onboard computer for processing and decision-making.
They are instrumental in machine learning and artificial intelligence technologies, which enhance the vehicle's learning and decision-making capabilities.
Integrated circuits are vital for communication systems in autonomous vehicles, enabling vehicle-to-vehicle and vehicle-to-infrastructure communication.
Challenges include meeting the demand for higher processing power, ensuring reliability and security, and addressing environmental concerns in production.
🎉 THAT’S ALL FOR TODAY!
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