Thinking Machines Lab releases open-weight AI model Inkling

Thinking Machines Lab, founded by former OpenAI executive Mira Murati, has released its first AI model, Inkling. Inkling is designed to be versatile and efficient, processing queries across different media while balancing cost and performance. The model is open-weight, allowing developers to download and customize it.

Thinking Machines raised $2 billion at a $12 billion valuation last year and generates revenue through its developer tool, Tinker, which fine-tunes AI models. This release marks a significant step for Thinking Machines Lab in its bid to build interaction models that enable more natural collaboration with AI.

In other AI news, a report found that 100% of polled Japanese online game developers use generative AI, with Google's Gemini being the most popular, followed by Anthropic's Claude and Microsoft's GitHub CoPilot. However, concerns about copyright infringement and games becoming similar were also raised.

Amazon and Alphabet are leading AI research and development, with Amazon focusing on practical AI applications and Alphabet developing more general-purpose AI systems. Both companies have made significant investments in AI and developed cutting-edge technologies.

New York's AI data center moratorium has drawn criticism, with critics arguing it will hinder the state's ability to compete with China in the AI arms race. The moratorium aims to address energy grid concerns. Meanwhile, a researcher successfully installed a backdoor in an open-weight AI model for under $100, highlighting the vulnerability of AI models and the need for better security practices.

Key Takeaways

['Thinking Machines Lab releases its first AI model, Inkling, which is open-weight and versatile.', 'Thinking Machines raised $2 billion at a $12 billion valuation last year.', "100% of Japanese online game developers use generative AI, with Google's Gemini being the most popular.", 'Amazon focuses on practical AI applications, while Alphabet develops more general-purpose AI systems.', "New York's AI data center moratorium sparks criticism and concerns about competitiveness.", 'A researcher successfully installed a backdoor in an open-weight AI model for under $100.', 'Aina secures $5.5 million to develop a general-purpose AI interface.', 'Jim Cramer seeks proof of AI ROI, citing concerns about measurable financial returns.', 'The AI buildout creates employment bottlenecks, reshaping the labor market and changing the nature of work.', 'National AI Appreciation Day highlights the growing use of AI in daily life.']

Thinking Machines Lab Unveils AI Model Inkling

Thinking Machines Lab, founded by former OpenAI executive Mira Murati, has released its first AI model called Inkling. Inkling is designed to be versatile and efficient, processing queries across different media while balancing cost and performance. The model is open-weight, allowing developers to download and customize it without seeing the training data or source code. This release marks a significant step for Thinking Machines Lab in its bid to build interaction models that enable more natural collaboration with AI.

Thinking Machines Releases AI Model Inkling

Thinking Machines, led by Mira Murati, has launched its first AI model, Inkling. Inkling aims to be versatile and efficient, handling various media types while balancing cost and performance. The model is open-weight, allowing developers to customize it. Thinking Machines raised $2 billion at a $12 billion valuation last year. The company generates revenue through its developer tool, Tinker, which fine-tunes AI models.

Mira Murati's AI Startup Unveils Muse Model

Mira Murati's Thinking Machines Lab has released its first AI model, Muse. The model is designed to be flexible and user-friendly, differing from existing AI systems. Murati aims to democratize access to AI technology and encourage innovation. The release of Muse is significant for the AI industry, which is facing scrutiny over risks and biases.

Alphabet vs Meta: AI Stock Comparison

Alphabet and Meta are two influential tech companies working on different AI approaches. Meta focuses on AI that learns and improves on its own, while Alphabet develops AI that understands and interacts with humans. Their AI efforts have different goals and applications.

Amazon vs Alphabet: AI Stock Comparison

Amazon and Alphabet are leading AI research and development. Amazon focuses on practical AI applications, while Alphabet develops more general-purpose AI systems. Both companies have made significant investments in AI and developed cutting-edge technologies.

Aina Secures $5.5M for AI Hardware

Aina, a consumer hardware company, has secured $5.5 million to develop a general-purpose AI interface. The funding aims to move beyond traditional touchscreens and keyboards. Aina's approach focuses on a context-aware layer that simplifies human choice.

100% of Japanese Online Game Developers Use Generative AI

A report found that 100% of polled Japanese online game developers use generative AI. Google's Gemini is the most popular, followed by Anthropic's Claude and Microsoft's GitHub CoPilot. The report also found concerns about copyright infringement and games becoming similar.

Jim Cramer Seeks Proof of AI ROI

Jim Cramer wants companies to show measurable financial returns from AI investments. He notes that AI infrastructure companies are benefiting, but corporate customers have not demonstrated significant savings or profit gains.

New York's AI Data Center Pause Sparks Warnings

New York's AI data center moratorium has drawn criticism, with critics arguing it will hinder the state's ability to compete with China in the AI arms race. The moratorium aims to address energy grid concerns.

Researcher Poisons Open-Weight AI Model

A researcher successfully installed a backdoor in an open-weight AI model for under $100. The experiment highlights the vulnerability of AI models and the need for better security practices.

AI Buildout Creates Employment Bottlenecks

The AI buildout is reshaping the labor market, creating a shortage of skilled workers and changing the nature of work. The Federal Reserve's Beige Book reports on the impact of AI on employment.

National AI Appreciation Day

National AI Appreciation Day highlights the growing use of AI in daily life. An advocate urges workers to embrace AI, citing its potential to increase income and save jobs.

JPMorgan's Sitara Sundar on the AI Trade

JPMorgan's Sitara Sundar discusses the AI trade and its implications.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Thinking Machines Lab Inkling Mira Murati OpenAI AI Model AI Technology AI Innovation AI Risks AI Biases Alphabet Meta AI Stock Comparison Amazon AI Research AI Development Aina AI Hardware Generative AI Japanese Online Game Developers AI Infrastructure AI ROI Jim Cramer AI Data Center New York AI Arms Race Energy Grid AI Security Open-Weight AI Model AI Buildout Employment Bottlenecks National AI Appreciation Day AI Trade JPMorgan Sitara Sundar

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