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AI NEWS RUNDOWN
Tech Insights AI 0001, Monday 12th August 2024
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🗞️ AI NEWS RUNDOWN
1.MIT's Self-Learning Robots: A New Era of Adaptability
2.DeepMind's Robotic Ping-Pong Prodigy: AI Takes on the Table
3.Amazon’s Olympus: A New Hope in the AI Race as Nvidia Maintains Chip Dominance
4.Leadership Shakeup at OpenAI: Key Figures Depart Amidst Industry Transitions
5.AWS Unveils 5 Groundbreaking Innovations to Empower Generative AI Development for All
6.Singapore’s Data Center Sector Pivots to AI Amid Energy Challenges

Image was generated using DALL-E
MIT's new EES algorithm allows robots to train themselves by integrating motion data with large language models. This groundbreaking approach enables robots to adapt to new tasks and environments with minimal human intervention, potentially revolutionising household robotics.
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2.DeepMind's Robotic Ping-Pong Prodigy: AI Takes on the Table

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Google DeepMind has developed a robotic arm that plays table tennis at an amateur human level, winning 45% of its matches against human players. Powered by advanced AI, the robot adapts to various playing styles and speeds, showcasing the potential of AI in complex, real-world tasks. Despite its success, the robot still faces challenges with high-speed and spinning balls, highlighting areas for future improvement​
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3.Amazon’s Olympus: A New Hope in the AI Race as Nvidia Maintains Chip Dominance
Amazon Web Services (AWS) has been focusing on Greek mythology for naming its AI models, as opposed to the popular trend of thinking about the Roman Empire. Following a rough start with their Titan models, AWS is now developing a new AI model codenamed "Olympus" in an effort to catch up with competitors like OpenAI and Microsoft. AWS's move to develop Olympus signals the company's desire to control its destiny in AI, despite also selling LLMs from other providers such as Anthropic. This development highlights Amazon's strategic investment in AI, aiming to reduce reliance on external providers and maintain competitiveness in the cloud market.

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However, the launch of Titan faced significant challenges, with feedback indicating that it underperformed compared to other available models, such as those from OpenAI. Philipp Schmid from Hugging Face criticized Titan Embeddings for its shortcomings, suggesting that it was "significantly worse" than open-source alternatives
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4.Leadership Shakeup at OpenAI: Key Figures Depart Amidst Industry Transitions

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In a significant shift within the artificial intelligence industry, three prominent leaders at OpenAI have recently stepped down or taken leave. Greg Brockman, OpenAI's president and cofounder, is on an extended leave of absence, while John Schulman, another cofounder, has moved to rival AI firm Anthropic. Additionally, Peter Deng, a product leader with experience at Meta, Uber, and Airtable, has also left the company. These departures underscore ongoing instability in OpenAI’s leadership, which has seen numerous changes following the tumultuous events surrounding CEO Sam Altman’s firing and rehiring in November. Despite these internal shifts, OpenAI continues to push forward with ambitious projects, including the development of its next flagship AI model and a new AI agent to automate tasks for users.
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5.AWS Unveils 5 Groundbreaking Innovations to Empower Generative AI Development for All
At the AWS Summit in New York 2024, AWS announced five new innovations aimed at empowering users to build with generative AI.AWS also highlighted its achievement of training over 31 million people in cloud computing, surpassing its initial goal. These innovations are designed to make AI more accessible and impactful across various industries.
AWS App Studio: A new low-code application development platform.
Amazon Q Apps: General availability for AI-assisted task automation.
Enhanced Amazon Bedrock: New features for customizing AI models.
AI Integration Tools: Tools to better integrate AI into existing applications.
Expanded Training Programs: Initiatives that have trained over 31 million people in cloud computing.
6.Singapore’s Data Center Sector Pivots to AI Amid Energy Challenges
Singapore's data center industry is increasingly focusing on AI workloads, driven by limited capacity and the need for energy efficiency. Companies like Singtel and Sustainable Metal Cloud are adopting advanced cooling technologies, such as liquid cooling, to support high-density AI workloads.

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Singapore’s strategic location and strong connectivity make it a prime hub for AI, though it faces competition from neighboring regions like Malaysia and Indonesia. The nation is also integrating green initiatives to ensure sustainable growth in the sector.
⚖️ AI LAW
1. Biden-Harris Administration's AI Actions
The Biden-Harris Administration has announced new initiatives to further enhance the responsible development and use of artificial intelligence (AI) in the United States, alongside securing additional voluntary commitments from major tech companies like Apple. This builds on a landmark Executive Order issued by President Biden nine months ago, aimed at ensuring America leads in AI innovation while managing associated risks.

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Key actions include the release of new safety guidelines by the AI Safety Institute, expansion of AI testbeds by the Department of Energy, and significant steps taken by the Department of Defense and Homeland Security to protect critical government software. The administration has also advanced efforts to bring AI talent into the government, with over 200 hires made to support AI initiatives.
Moreover, the administration has taken strides to promote U.S. leadership in AI on the global stage, including the launch of a global network of AI Safety Institutes and the passage of a United Nations General Assembly resolution promoting the safe use of AI. These efforts underscore the administration's commitment to advancing responsible AI innovation, safeguarding privacy, promoting equity, and maintaining global leadership in the AI sector.
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📣 AI Live Events (Aug-Dec 2024)
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đź“‚Generative AI Open Source
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Evaluate and improve AI, faster Maxim is an enterprise-grade stack for building AI applications, empowering modern AI teams to ship products with quality, reliability, and speed |
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