S01E05: The NewsTalk – From AI to Generative AI / Future of Gen. AI for Business

The Newstalk (single)
The Newstalk (single)
S01E05: The NewsTalk - From AI to Generative AI / Future of Gen. AI for Business
Newstalk excerpt from episode S01E05 of the "Disruptive Talks" podcast: to see the complete program of the episode, visit this page. 
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At the beginning of this pill (in the audio version that you can listen to in the podcast or in the player integrated into this article), we discuss the history of artificial intelligence, retracing significant stages and periods of fluctuating interest, to provide a historical context capable of offering a perspective broader on the cycles of rise and possible decline of technologies. This will allow us to delve deeper into the current issue of generative AI, analyzed not so much as an ephemeral bubble, but rather as a phase of a longer and potentially revolutionary evolutionary trajectory.

Generative artificial intelligence is catalyzing enormous investment and attention from companies and startups, with billion-dollar valuations demonstrating widespread interest. However, current revenues are still not living up to those expectations, fueling fears of a speculative bubble.

There are concrete applications, but the costs are high

In fact, generative AI has already demonstrated concrete applications in programming and writing automation that are transforming entire industries. The problem is that such solutions rely on proprietary models that are very expensive to train and maintain. Widespread access will still take time.

Geopolitical competition confirms the potential

The US and China's race to excel in AI is a sign of the strategic centrality of this technology. This suggests that, despite current difficulties, generative AI is not a passing fad but a breakthrough that is here to stay.

AGI is still a long way off, but generative AI is already here

The confusion with a future artificial general intelligence is misleading. The creative and inventive capabilities of generative AI are a reality, albeit an imperfect one. In time, problems will be resolved and potential fully expressed.

Why Generative AI could succeed:

  1. Innovation and Creativity: Generative AI can generate original content, from writing lyrics to visual art and music, stimulating creativity and offering new solutions to existing problems.
  2. Efficiency and Cost Reduction: By automating repetitive tasks, Generative AI allows companies to save time and resources, thus reducing operational costs.
  3. Decision Support: Through scenario simulation and predictive analytics, Generative AI helps startups make informed, data-driven decisions.
  4. Customization: The ability to customize content to meet specific user needs can create a significant competitive advantage.

Why Generative AI might fail:

  1. Lack of Differentiation: Many startups simply use existing platforms like GPT-3/4 without adding distinctive value or truly innovating, making it difficult for them to survive in the market.
  2. Addiction to Big Platforms: The heavy reliance on resources of companies like OpenAI could pose data privacy and security issues, as well as limit control over their solutions.
  3. Bias in Data and Models: If left unaddressed, biases inherent in data and learning models can lead to skewed results and damage companies' reputations.
  4. Monetization Strategies: Without a clear path to profitability, even the most innovative solutions risk not finding a sustainable market.

Caution is needed, not skepticism

In summary, generative AI still requires maturation and presents risks to manage. But its advent is reshaping the technological landscape irreversibly. More than skepticism, caution and foresight are needed to reap the benefits and avoid the pitfalls.

We conclude our audio pill by reporting the recent innovations announced by OpenAI, which has introduced a sort of "App Store" for generative AI, opening up new scenarios for the development and marketing of applications based on this technology. These innovations may reveal an incipient and growing ecosystem, perhaps less fleeting than one might imagine and indicative of a path that, while fraught with challenges, could be extremely fruitful.

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