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#generativeai

110 posts93 participants8 posts today
Alex Jimenez<p>What Role Do <a href="https://mas.to/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenerativeAI</span></a> Solutions Play In <a href="https://mas.to/tags/DigitalTransformation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalTransformation</span></a>? </p><p><a href="https://www.geeky-gadgets.com/what-role-do-generative-ai-solutions-play-in-digital-transformation/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">geeky-gadgets.com/what-role-do</span><span class="invisible">-generative-ai-solutions-play-in-digital-transformation/</span></a></p><p><a href="https://mas.to/tags/DigitalMarketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalMarketing</span></a> <a href="https://mas.to/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
Public
Miguel Afonso Caetano

Big tech companies want total control but opt-out should be the way to go:

"OpenAI and Google have rejected the government’s preferred approach to solve the dispute about artificial intelligence and copyright.

In February almost every UK daily newspaper gave over its front page and website to a campaign to stop tech giants from exploiting the creative industries.

The government’s plan, which has prompted protests from leading figures in the arts, is to amend copyright law to allowdevelopers to train their AI models on publicly available content for commercial use without consent from rights holders, unless they opt out.

However, OpenAI has called for a broader copyright exemption for AI, rejecting the opt-out model."

thetimes.com/uk/technology-uk/

The Times · AI giants reject government’s approach to solving copyright rowBy Georgia Lambert
#AI#GenerativeAI#UK
Public
Miguel Afonso Caetano

MM: "One strange thing about AI is that we built it—we trained it—but we don’t understand how it works. It’s so complex. Even the engineers at OpenAI who made ChatGPT don’t fully understand why it behaves the way it does.

It’s not unlike how we don’t fully understand ourselves. I can’t open up someone’s brain and figure out how they think—it’s just too complex.

When we study human intelligence, we use both psychology—controlled experiments that analyze behavior—and neuroscience, where we stick probes in the brain and try to understand what neurons or groups of neurons are doing.

I think the analogy applies to AI too: some people evaluate AI by looking at behavior, while others “stick probes” into neural networks to try to understand what’s going on internally. These are complementary approaches.

But there are problems with both. With the behavioral approach, we see that these systems pass things like the bar exam or the medical licensing exam—but what does that really tell us?

Unfortunately, passing those exams doesn’t mean the systems can do the other things we’d expect from a human who passed them. So just looking at behavior on tests or benchmarks isn’t always informative. That’s something people in the field have referred to as a crisis of evaluation."

blog.citp.princeton.edu/2025/0

CITP Blog · A Guide to Cutting Through AI Hype: Arvind Narayanan and Melanie Mitchell Discuss Artificial and Human Intelligence - CITP BlogLast Thursday’s Princeton Public Lecture on AI hype began with brief talks based on our respective books: The meat of the event was a discussion between the two of us and with the audience. A lightly edited transcript follows. Photo credit: Floriaan Tasche AN: You gave the example of ChatGPT being unable to comply with […]
#AI#GenerativeAI#Intelligence
Public
Miguel Afonso Caetano

"My current conclusion, though preliminary in this rapidly evolving field, is that not only can seasoned developers benefit from this technology — they are actually in the optimal position to harness its power.

Here’s the fascinating part: The very experience and accumulated know-how in software engineering and project management — which might seem obsolete in the age of AI — are precisely what enable the most effective use of these tools.

While I haven’t found the perfect metaphor for these LLM-based programming agents in an AI-assisted coding setup, I currently think of them as “an absolute senior when it comes to programming knowledge, but an absolute junior when it comes to architectural oversight in your specific context.”

This means that it takes some strategic effort to make them save you a tremendous amount of work.

And who better to invest that effort in the right way than a senior software engineer?

As we’ll see, while we’re dealing with cutting-edge technology, it’s the time-tested, traditional practices and tools that enable us to wield this new capability most effectively."

manuel.kiessling.net/2025/03/3

The Log Book of Manuel Kießling · Senior Developer Skills in the AI Age: Leveraging Experience for Better Results • Manuel KießlingHow time-tested software engineering practices amplify the effectiveness of AI coding assistants.
#AI#GenerativeAI#Programming
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