What they don't tell you about AI adoption

Also, OpenAI now lets businesses fine-tune GPT-4, while Agibot will deploy working humanoid robots.

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Hi there, welcome to your Lighthouse!

In today's lineup:

šŸ§‘ā€šŸ¤ā€šŸ§‘ People

  • Margaret Mitchell, a leading voice in AI ethics at Hugging Face.

  • AIā€™s evolving role: Assisting coders, not replacing them.

  • Deloitte reveals the truth about AI deployment hurdles.

šŸ¤– Robots

  • Agibot to deploy working humanoid robots on October.

  • OpenAI now lets businesses fine-tune GPT-4 for custom use.

  • Transform your product management workflow with Delibr.

ā¤ļø Love

  • Lisa Dysonā€™s path to transforming food production with Air Protein.

  • Master motivational speeches with this free course.

  • Innovate with a human-centered approach using Design Thinking.

Reading time: 5 min.

PEOPLE šŸ‘„

Innovation Champion šŸ†

Credit: Bloomberg via Getty Images

Mitchell, known for her work in AI ethics, became a key figure in the field after co-leading Google's AI ethics team. Now at Hugging Face, she focuses on ensuring that open-source AI is developed responsibly, advocating for diversity and ethical practices to prevent AI from perpetuating biases and inequalities. Her efforts emphasize the need for inclusivity in AI development to create more equitable technologies.

AI is changing the landscape for software developers, but it's not replacing them. While the general public fears AI will eliminate coding jobs, most developers see it as a tool that enhances, rather than threatens, their work. AI can assist with repetitive tasks, but creativity and problem-solvingā€”core elements of developmentā€”remain uniquely human.

Hereā€™s why it counts: Understanding AIā€™s role in development highlights the evolving nature of tech jobs. As AI tools improve, they will augment rather than replace human capabilities, ensuring that developers remain vital to innovation.

A new Deloitte report reveals that while many enterprises are investing in generative AI, scaling it to production remains a challenge. Issues like data quality, risk management, and defining value are key hurdles.

Key takeaways: These challenges highlight the complexities of fully integrating AI into business operations and emphasize the need for focused strategies to overcome them.

ROBOTS šŸ¤–

Agibot, a Shanghai-based robotics startup, plans to ship 200 bipedal and 100 wheeled robots by the year's end. Agibot's new factory, located in Shanghai's Lingang Special Area, marks a significant step for the company, which debuted its first humanoid robot prototype just last year. Agibot plans to open-source its Lingxi X1 bipedal humanoid robot, allowing developers to contribute to its development and manufacturing.

A deeper look: These robots are designed for various applications, including interactive services, smart manufacturing, special tasks, research, education, and data collection.

OpenAI now allows developers to customize GPT-4o using their own data, making the model more tailored to specific business needs. This option extends to the smaller, more affordable GPT-4o mini, though customization comes with significant costs based on data usage.

What to look out for: Businesses can now leverage AI more effectively by creating solutions that align closely with their specific requirements, potentially boosting efficiency and competitiveness. However, the high cost may limit access for smaller companies.

One Process šŸ’”

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Tool Spotlight šŸ”§

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Nerd Corner šŸ¤“

Explainable AI (XAI)

AI systems designed to be transparent and provide clear explanations for their decision-making processes. Examples include tools like LIME, SHAP, and IBM Watson OpenScale, which help make AI models more understandable and accountable.

Key Characteristics:

  • Transparency: Makes AI decisions understandable.

  • User Understanding: Helps users grasp how AI reaches conclusions.

  • Accountability: Enables auditing and accountability of AI actions.

LOVE ā¤ļø

Heroā€™s Journey ā˜„ļø

Lisa Dyson, CEO of Air Protein

Lisa Dyson has navigated significant skepticism and complex scientific challenges as the CEO of Air Protein, a company innovating in sustainable food production. Her pioneering approach converts air into protein, initially doubted by many. However, her scientific expertise and relentless determination led to breakthroughs and substantial investment.

Under Dyson's leadership, Air Protein has proven the potential of her visionary technology. Her journey from facing doubt to securing investor confidence showcases her role as a leader reshaping the future of sustainable food.

Personal Development šŸ“š

A 15-hour self-paced online course designed to teach you how to prepare and deliver powerful speeches. Learn storytelling skills, appropriate tone, and effective speech delivery techniques. Students will record speeches and exchange feedback, enhancing their ability to inspire and engage audiences.

The course is free to audit through Coursera, but a $49 fee is required for a certificate and lifelong access to materials.

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  • Make quick & smarter decisions for their company using AI-led data insights

  • Write emails, content & more in seconds using AI

  • Solve complex problems, research 10x faster & save 16 hours every week

Personal Growth šŸŒ±

Design Thinking is a human-centered approach to innovation, focusing on meeting peopleā€™s needs while balancing technological possibilities and business goals.

Key Components:

  • Empathy: Understands the user's needs through observation and interaction.

  • Ideation: Generates diverse ideas to solve problems creatively.

  • Prototyping: Develops prototypes quickly to test and refine solutions.

  • User Testing: Ensures solutions are effective and user-friendly.

Learn more here

In Culture šŸ¤Œ

THATā€™S A WRAP!šŸš€

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