Iolanda Antunes

AI leaders have a crucial chance to address risks now and strengthen governance practices before playing catch-up to regulations, notes Kjell Carlsson, Ph.D. of Domino Data Lab. In a recent VentureBeat article, he shares his perspective on California's AI bill veto and why proactive governance is key to the future of AI innovation. Learn more about this addressing this opportunity: https://gag.gl/4WCTkP #AI #AIGovernance #AIInnovation #DataScience

1

Podcast: Measuring Human and AI Values based on Generative Psychometrics with Large Language Models Listen to this AI-generated podcast by Google NotebookLM right from the paper below! This is amazing. Looks like Google finally released a really useful AI tool. Full Paper: https://lnkd.in/gFMq8WJm #Google #NotebookLM #Doc2Podcast #GenAI

20

1 Comment

A provocative piece in the Harvard Business Review from my friend Bobby Yerramilli-Rao (Microsoft CSO) charts how AI will reshape enterprise expertise and strategy. What resonates deeply with me is their insight into AI's "triple product" return. I’ve seen firsthand how AI drives operational efficiency, elevates workforce performance, and enables sharper strategic focus by automating non-core activities. Another fascinating insight: the conventional wisdom that AI mainly benefits top performers is wrong. Studies show AI assistants boost lower-skilled workers' performance by 43% versus 17% for high performers. AI is raising the floor for everyone. This has major implications for how enterprises should think about talent and org structure. Bobby and his co-authors John Corwin, Yang Li and Karim Lakhani deliver a clear-eyed view of what it means to compete when AI puts expertise at everyone's fingertips. Well worth the read: https://lnkd.in/gy9TsVVU

54

3 Comments

I hear a lot of logical explanations why certain ideas simply make sense. But you can't theorize your way into building a great product. Sure, you may get lucky, but luck is not reliable. To consistency build high impact products you need to practice product discovery.

28

1 Comment

This is a great test bed for on-device AI, tech-wise, but more importantly: can AI benefits resurrect an otherwise lukewarm feature (Timeline) that was shelved by Microsoft a few year prior? Very curious to see user feedback on this, especially given the privacy sensitivity. LLMs are incredibly powerful, but ultimately gated by natural language training data sets. This approach provides a new knowledge base that can train highly personalized AI. https://lnkd.in/e-ZbpB9Z

5

4 Comments

Generative AI: miracle worker or sophisticated guesser? While AI can now write, code, and create, it's essentially still a prediction machine. This revelation challenges how we view and utilize AI in business. What does this mean for your AI strategy? Let's discuss. #ArtificialIntelligence #BusinessStrategy #TechInnovation #AILimitations #FutureOfWork

2

The demand for upskilling and reskilling has never been more urgent. By 2030, technology is projected to reshape over a billion jobs globally, necessitating a massive retraining effort. In the U.S. alone, nearly 1 million distinct education credentials now exist, spanning badges, certificates, licenses, apprenticeships, industry certifications, and micro-credentials. Recent data underscores the growing adoption of these credentials: 45% of U.S. workers hold some form of an alternative credential. 49% of U.S. workers who haven't earned one yet are considering doing so. The digital badge market is expected to grow by 22.5% between 2023 and 2028, reaching $80 billion by 2030. This surge in credentials necessitates a shift in how we perceive them. Mere issuance is no longer sufficient. There must be accountability and proof of the knowledge and skills they represent. Credentials should be supported by concrete evidence, not just claims or certificates of completion. So here’s something you can think about in the future: when pursuing a new certification yourself or evaluating someone with a string of credentials, challenge them to demonstrate their knowledge. It's a humbling yet enlightening experience that reveals the true depth of expertise. ⭐

25

🔥 so that's interesting happening quicker than I thought it would, but Microsoft is retiring at GPT builder. I am still very interested to see what happens when the industry moves on from llms due to their costs, issue a scale, issues with hallucinations, and inability to develop into more and other companies have sunk a lot of costs into these technologies. The new digital divide.

11

2 Comments

When we use generative AI, the quality of output is heavily influenced by the input provided. We think of it as a the strategy of good, better, and best prompting. At the heart of effective interaction with generative AI lies the art of crafting prompts that steer the AI's responses in desired directions. Generative AI creates new data based on the 
path it takes through its own training data and 
its own model so the direction, specificity, and detail matters. Ultimately, a prompt points the model to the right place in the data cosmos. Good prompting begins with clarity and specificity, the basic yet crucial elements that set the foundation for any successful interaction with AI. A clear prompt ensures that the AI understands the task at hand, while specificity helps in narrowing down the AI's focus, leading to more accurate and relevant outputs. For instance, rather than asking for "a story," specifying "a science fiction story set in a post-apocalyptic world" gives the AI a clearer direction, resulting in a more focused creation. Moving from good to better prompting involves a deeper understanding of the AI's capabilities and limitations. It requires not just asking the AI to create something but doing so in a way that aligns with how the AI processes information. This means framing prompts that not only specify what you want but also how you want it presented, considering the AI's unique way of generating content based on its training. For example, if seeking business advice, a better prompt would not only specify the industry but also the type of advice—strategic, operational, financial—thus directing the AI to leverage relevant parts of its training. The best prompting moves beyond basic clarity and specificity, incorporating an understanding of both the desired outcome and the most effective way to engage with the AI to achieve it. This level means the prompter has a keen awareness of what they want and possesses the skill to navigate the AI's capabilities. It includes the use of more nuanced language, the anticipation of potential misinterpretations, and incorporates constraints that guide the AI's creative process. For example, asking for a marketing strategy might include specifying the target audience, desired tone, and key messaging points, along with any constraints like budget or channels. Developing the skill to craft effective prompts is a critical aspect of working with generative AI. It's about understanding what you want, knowing how to articulate that desire in a way the machine understands, and strategically using the AI's strengths to your advantage. As you become more adept at prompting, the AI becomes a more powerful tool for creation, analysis, and exploration. #ai #artificialintelligence #generativeai #airesearch #complexity #complexchange #changemanagement #futureofwork #artificiality #chatgpt #claudeai #gemini

1

⬆️The startup WorldLabs of Fei-Fei Li, the godmother of #AI, just reached a $1B valuation in under four months. That’s gotta be some kind of world record. ⬇️And after NVIDIA ’s stock dropped 6.6% today, the “laggards of AI” (Intel, AMD, etc) are getting some love from Wall Street. Are these signs of a bubble? Are we in the end times? Should we buy AI insurance? Is that even a thing? 💡My take: Bubble. We're in the "eff around and find out" stage of AI. It's Today's hyperscalers will eventually need to prove that their investments will generate revenues and earnings. #artificialintelligence #venturecapital #bubble

4

Actual footage of AI tools trying to deliver meaningful, data-driven insights 👇 💡 "Birthdate is positively correlated with customer_age" 💡 "Transaction_ID increases over time" 💡 "Total_Revenue increased 2.374% from April 7th to April 11th" AI tools like Copilot and Gemini are amazing at a lot of things, but seem to consistently fall short when it comes to deriving insights at a professional analyst level. Or is it just me?

310

42 Comments

How to build AI products? Don't remove humans from the loop. Rather bridge them into the power of AI. Great article from Rex Woodbury. My notes are in the screenshot. Read the entire article: https://lnkd.in/g9sUA9HU

21

Don't just build another AI chatbot. Ask yourself these 5 questions instead. Tomorrow I'm sharing a new "explain like I'm five" guide that covers: - My 3P framework for evaluating AI use cases - Examples of AI products that solve real problems • How to pick the right AI model and development tool 📌 Sign up to get it: https://creatoreconomy.so/

39

2 Comments

🔷 Beyond Language: Expanding the Realms of AI Expression 🔷 (Apolumtramic thnatosaccidance is not a typo.) 🔵 AI language models push linguistic boundaries, hinting at new modes of expression. 🔵 Seemingly nonsensical AI outputs may contain deeper meaning and creativity. 🔵 Comparisons to abstract art and experimental literature provide helpful context. https://lnkd.in/ezafs8sJ #AI #AGI #LLMs #GPT4 #GPT5 #Claude3

14

Humane AI Pins are not living up to the hype. Eight months ago, I wrote about the Humane AI Pin (https://lnkd.in/er8gCx2H). At the time, I mentioned that devices like it are poised to redefine the way we interact with technology. Unfortunately, it looks like the Humane AI Pin isn't doing so well, with reports of orders being canceled before shipping and over $1 million worth of products being returned. Humane.AI is still shopping for an acquirer in the midst of all of this. The rabbit inc. #R1, with its founder being compared to Steve Jobs at one point, is also not doing well, with reports of consistent unreliability. I purchased the #Friend (https://lnkd.in/esCGFYwf) for $49 assembled from Kickstarter a while back. It has a dedicated base of users and developers, and with a one-time purchase price of $49, it's more likely to have some staying power. I still think that there's value in something always listening, but the fact that it goes to the cloud for summarizing and other items is still cause for trepidation. For now, I'll stick with my Apple iPhone always listening. #ai #chatgpt OpenAI #alwayslistening René Little Sam Evans Scott Kramer Douglas Souza Kevin Witt

1

1 Comment

How would you feel if your brain was copied? = Amazon Web Services (AWS) CEO Adam Selipsky has more than 10,000 organizations using the Bedrock service to build their AI applications — but that's only around 1% of the potential market, AWS CEO told Axios. AWS aims to expand from cloud computing market leader to running the world's biggest AI playground. Amazon's strategy is to bring millions of companies into that ecosystem while it works to improve its own AI models and chips, and increase its market share. But this post asks the following question: Would You Bring Your Model To Amazon Web Services (AWS)? = I can try to frame the discussion by the business practice of Traders Joes. Here is what happened: After six months of conversations with five founders of small to midsize food brands, it appears to be an open secret in the consumer packaged goods industry that Trader Joe’s outsources inspiration for new products by targeting emerging brands under the guise of recruiting them to manufacture private-label items. Private labeling is the ubiquitous (and often clandestine) practice of consumer food brands creating exclusive products for third-party retailers. The terms of these contracts vary, but the enlisted food brand typically receives compensation in the form of a production fee or profit-sharing arrangement. According to these sources, Trader Joe’s commonly solicits product samples and even asks for potential recipe adjustments—a revealing and time-consuming exercise for bootstrapped founders—before inexplicably abandoning the negotiations and releasing its own private-label versions of similar products at lower prices. “They’re specifically doing this to diversity brands, or so-called ethnic brands,” the founder of one gourmet food company told me on the condition of anonymity to avoid unwanted media attention. Before the COVID-19 pandemic, the New York–based founder had corresponded, through phone calls and emails, with the Trader Joe’s product team over the course of several months about private labeling two of his products, a spicy condiment and a jarred simmer sauce. “Ethnic foods are specialized items; there’s so much history and culture and tradition that you can’t do simple knockoffs like you do with everyday items like ketchup or mayo,” he said. “You need brands like ours to educate you.” Trader Joe’s hijacking the ethnic food aisle and flooding the market with cheap knockoffs is more frustrating to so-called baby brands like Brooklyn Delhi, who feel like they’ve created niche lanes for certain products that didn’t exist before. Unlike large conglomerates, smaller brands often can’t scale production to meet the price demands associated with private labeling for large retail companies. For them, the Trader Joe’s dupes are capitalizing on their years of product development and marketing. = Would You Bring Your Intelligence To AWS? Copying a model is easy - copy the weights! How would you feel if your brain was copied??

28

12 Comments

Eye on AI: xAI’s Backers Have A Lot Of Other Bets Besides Musk’s LLM Elon Musk's generative AI startup, xAI, has secured a $6 billion investment round, valuing the company at $24 billion. This funding, led by notable investors such as Valor Equity Partners, Andreessen Horowitz, Sequoia Capital, and Fidelity Investments, positions xAI as the second most valuable generative AI company after OpenAI. The significant overlap of investors across major AI players underscores the high stakes and competitive nature of the AI sector, where strategic investments are critical for capitalizing on AI advancements. #AI #GenAI #GenerativeAI #AINews #Innovation #VentureCapital #TechEcosystem #AIAdvancements #ElonMusk #LLM #Technology https://lnkd.in/eCwY5SCv

2

1 Comment

Want to Build the Next Best AI? Don’t Get Lost in Product Development! 🚀 Having worked with early-stage AI startups, here’s what you need to know to create viral solutions users will love: Use Cases: Clearly define how your AI addresses real-world problems. Keep use cases simple. Early on, OpenAI struggled because it didn’t hone in on clear use cases that drove traction. AI & Machine Learning Fundamentals: Define the lean pattern in the beginning. Master the basics. A solid understanding enables informed decision-making and effective team guidance. Data Analysis: Dive into user interactions to make data-driven decisions, guiding product improvements and enhancing market understanding. User Experience (UX) Design: Invest in an intuitive interface. Exceptional UX is vital for retaining users, especially in complex AI applications. Sales & Marketing: Develop targeted sales strategies to effectively communicate your AI's unique value and resonate with your audience. Collaborative Problem-Solving: Foster teamwork across diverse disciplines to ignite creativity and drive innovation within your AI solutions. Ethical AI: Grasping the ethical implications of AI builds trust and credibility—essential factors for any startup's success. Networking: Leverage industry connections for mentorship and partnerships, unlocking valuable insights and support. Agility: You MUST be able to pivot FAST. The AI landscape evolves rapidly, so being ready to pivot is crucial for maintaining a competitive edge. Continuous Learning: Commit to lifelong learning to stay ahead in this fast-paced field and keep your skills sharp. Succeeding in AI requires not just innovative technology but a mastery of essential skills that differentiate you in the market. 💬 What skills do you believe are essential for AI founders? Drop your thoughts below and let’s connect! 👇

1

1 Comment