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Pause AI?

O'Reilly on Data

It’s hard to ignore the discussion around the Open Letter arguing for a pause in the development of advanced AI systems. Will they condemn all but a few of us to boring, impoverished lives? If these are indeed the dangers we face, pausing AI development for six months is certainly a weak and ineffective preventive.

Modeling 215
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3 areas where gen AI improves productivity — until its limits are exceeded

CIO Business Intelligence

Even though generative AI is a relatively new technology, it’s now difficult to imagine a world without it, given the impact it’s making, and the business value it can create. EY is one example of a company widely deploying gen AI. With the use of gen AI, the agents were, on average, able to resolve 14% more issues per hour.

IT 128
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The Quality of Auto-Generated Code

O'Reilly on Data

There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.” Property -based testing might give us some additional ideas about building test suites robust enough to verify that code works properly. First, we wondered about code quality.

Testing 300
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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

That was the date when OpenAI released ChatGPT, the day that AI emerged from research labs into an unsuspecting world. Most notably, The Future of Life Institute published an open letter calling for an immediate pause in advanced AI research , asking: “Should we let machines flood our information channels with propaganda and untruth?

Metrics 285
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Exploring the pros and cons of cloud-based large language models

CIO Business Intelligence

In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks. In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks.

Modeling 119
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The early returns on gen AI for software development

CIO Business Intelligence

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

Software 131
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CIOs in financial services embrace gen AI — but with caution

CIO Business Intelligence

Highly regulated, customer-centric, and dependent on layers of human involvement and manual processes, financial services are ripe for automation through artificial intelligence (AI). Those same characteristics, however, reveal the risks AI pose to this sector. AI is not the future of financial services — it’s the present.

Insurance 141