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🤖Apple's Robotics Set To Debut in 2026.

Plus: China's Tech Titans Ramp Up AI Investments Amid U.S. Tech Curbs.

Yaro Celis

Aug 26

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Here's what we're diving into today: Home robots are arriving faster than anticipated—some will win hearts, while others might not fare as well. Meanwhile, China is accelerating its investments in AI across the board. However, there's growing concern among experts about the quality of data being used to train these rapidly deployed AI models. Let's delve deeper.

📰 News and Trends.
Apple's Robotics Set To Debut in 2026.
China's Tech Titans Ramp Up AI Investments Amid U.S. Tech Curbs.
🧰 AI Tools (Sales)
Concerns Rise Over AI Training Data.

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📰 AI News and Trends

Microsoft releases powerful new Phi-3.5 models, beating Google, OpenAI, and more (VB)
Inflection AI announced rate limits for Pi — its consumer chatbot — and is supporting a new tool it hopes will become an industry standard for exporting chatbot data (TC)
Biosecurity experts are calling on governments to set new guardrails to limit the risks posed by advanced AI models applied to biology (AllSides)
The Department of Energy could create its own AI testbed to balance growing electricity demand needs with emissions goals (Energy.gov)

🌐 Other Tech news

North Korea's Kim Jong Un oversees tests of 'suicide drones' (Reuters)
Boeing Starliner returning empty as NASA turns to SpaceX to bring astronauts back from ISS (CNBC)
Microsoft plans September cybersecurity event to discuss changes after CrowdStrike outage (CNBC)
Telegram founder and CEO Pavel Durov was arrested in France by the National Anti-Fraud Office on multiple offenses: terrorism, drugs, complicity, fraud, money laundering, receiving stolen goods, pedocriminal content," and possibly more (TheBlock)
Viral Instagram meme asks ChatGPT to insult your profile. More than 300,000 people have participated already (CNBC)

Apple is delving into robotics to diversify its product lineup beyond the iPhone. This move is part of a broader strategy to integrate Apple devices more deeply into consumer lifestyles, potentially addressing "first-world problems" by making devices more accessible and versatile in everyday settings, like using an iPad that autonomously moves to be within reach. This venture into robotics, led by Kevin Lynch, aims to bring about innovative solutions such as mobile and humanoid robots, with a focus on a tabletop robotic device expected around 2026-2027. While still in its early stages, the project reflects Apple's ongoing commitment to pioneering new technologies, despite past setbacks like the discontinuation of its autonomous car initiative.

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Concerns Rise Over AI Training Data.

Garbage in, Garbage Out.

AI researchers are concerned about a phenomenon known as "model collapse," where AI systems deteriorate when trained on data that includes content generated by AI itself.

This issue, highlighted in a recent study published in Nature, shows that training on AI-generated content can lead to nonsensical outputs and significant errors. This presents a risk for the future of AI development, as online data increasingly contains such AI-created content. To mitigate these risks, the paper suggests that AI developers need high-quality, human-generated data and better coordination to track and manage the sources of their training data.

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China's Tech Titans Ramp Up AI Investments Amid U.S. Tech Curbs.

China's tech giants, including Alibaba, Tencent, and Baidu, are aggressively investing in artificial intelligence despite U.S. restrictions that aim to curb their access to advanced technologies. These companies have significantly increased their capital expenditures, doubling to RMB 50 billion ($7 billion) in the first half of the year, compared to RMB 23 billion the previous year. Their investments focus on acquiring processors and infrastructure to power AI model training. Despite constraints on accessing Nvidia’s top AI processors due to U.S. export controls, these firms are purchasing lower-performance Nvidia processors like the H20, which are designed to stay within U.S. computing power limits. This surge in spending is driven by a combination of factors, including high demand for AI capabilities and strategic investments in AI startups, which often involve incentives like cloud service vouchers.

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