The hottest AI Trends Substack posts right now

LLMs, or large language models, are hitting a point where adding more data and computing power isn't leading to better results. This means companies might not see the improvements they hoped for.
The excitement around generative AI may fade as reality sets in, making it hard for companies like OpenAI to justify their high valuations. This could lead to a financial downturn in the AI industry.
There is a need to explore other AI approaches since relying too heavily on LLMs might be a risky gamble. It might be better to rethink strategies to achieve reliable and trustworthy AI.

In 2025, there will be big chances in defense tech and social services as the government starts using more tech from private companies. This means more jobs and growth in these areas.
Artificial intelligence is set to grow, especially in healthcare and logistics, while crypto is expected to become more mainstream as regulations become clearer and institutional support increases.
Consumer apps might make a comeback as major tech companies face antitrust issues, allowing new startups to find success in areas like entertainment and personal finance.

Many workers feel lost about how their companies plan to use AI technology. This gap is leading to uncertainty as AI becomes more integrated into workplaces.
There's been a rise in innovative team-building activities like 'Spud Club,' showing that simple, affordable lunches can create strong team connections and improve workplace culture.
The future of work will focus on the human element, emphasizing teamwork and personal connections, even as technology advances.

The internet is facing an issue called 'model collapse' where AI chatbots start to sound more and more alike due to using generated content for training. This makes them lose their unique information.
Research shows that when AI models use content made by other AIs to learn, they can forget important details and produce weaker results.
Experts warn that as more AI models create similar data, future AI systems from different companies may end up producing nearly identical responses.

Apple is taking AI seriously and has built its own data center to support its AI projects. This means they have more control and can create better AI experiences for users.
Apple's Siri is expected to become more useful with new features that allow it to perform tasks hands-free, which could lead to a significant increase in AI usage among everyday people.
Apps may struggle to get noticed as Siri might execute tasks without users needing to open them. This could limit how users interact with individual applications.

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Career paths are unpredictable, and it's hard to plan them out for the long run. It’s more about being adaptable to the changes that come your way.
Focus on learning how to learn and keep building your skillset over time. Don’t worry too much about picking the perfect skill at first.
Find what you enjoy doing and where your natural talents lie. Those things can lead you to unexpected career opportunities that you might undervalue but are actually valuable.

Google's AI-powered search, known as SGE, may hurt small publishers but boost Google's own profits. It reduces the number of visible links, pushing advertisers to pay more for visibility.
By integrating generative AI into search, Google can use its large user base to enhance its own cloud services and chip sales, gaining an edge over competitors.
Google needs to carefully deploy AI features to avoid overwhelming users, especially for complex queries, while also being mindful of its most profitable keywords.