SELECTED BLOG POSTS

Looking for AI use-cases — Benedict Evans

We’ve had ChatGPT for 18 months, but what’s it for? What are the use-cases? Why isn’t it useful for everyone, right now? Do Large Language Models become universal tools that can do ‘any’ task, or do we wrap them in single-purpose apps, and build thousands of new companies around that?

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‘AI Platforms will Control What Everybody Sees,’ Says Meta’s AI Chief Yann LeCun

“Eventually all our interactions with the digital world will be mediated by AI assistants. This means that AI assistants will constitute a repository of all human knowledge and culture; they will constitute a shared infrastructure like the internet is today,” said Yann LeCun, one of the three godfathers of AI, in his talk at GenAI Winter School recently. 

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Taking AI to the next level in manufacturing | MIT Technology Review

Few technological advances have generated as much excitement as AI. In particular, generative AI seems to have taken business discourse to a fever pitch. Many manufacturing leaders express optimism: Research conducted by MIT Technology Review Insights found ambitions for AI development to be stronger in manufacturing than in most other sectors.

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‘Human intelligence’ – by Helen Beetham

In the guise of starting from something self-evident, the project of ‘artificial intelligence’ in fact serves to define what ‘intelligence’ is and how to value it, and therefore how diverse people should be valued too. Educators have good reason to be wary of the concept of ‘intelligence’ at all, but particularly as a single scale of potential that people have in measurable degrees. It is a statistical artefact that has long been scientifically discredited. It has been used to enforce racial and gender discrimination in education and to justify diverse forms of discriminatory violence, particularly over colonial subjects.

via: https://helenbeetham.substack.com/subscribe?utm_medium=web&utm_source=subscribe-widget-preamble&utm_content=143097365&just_signed_up=true&requires_confirmation=&subscription_id=470916809&referral_token=9dv58&next=https%3A%2F%2Fhelenbeetham.substack.com%2Fp%2Fhuman-intelligence

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How much of a finance professional’s work will be done by AI and automation? | AccountingWEB

There is no shortage of people telling us that artificial intelligence will change the working world forever. 

There is no shortage of people telling us that artificial intelligence will change the working world forever. 

But for all the talk about the profound differences AI will make, you might be left wondering: what will it actually do? 

A recent iplicit webinar heard some thoughts on what practical impact AI – and automation more generally – might have on the work of finance and accountancy teams. 

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The Arc Product-Market Fit Framework | Sequoia Capital

Finding product-market fit is the central quest of every early-stage startup. As we have seen over years of partnering with companies before they reached PMF, there are many ways of thinking about and approaching this quest. We walk founders through the following framework during Arc, our company-building immersion for pre-seed and seed stage companies. Rather than diagnosing whether you have product-market fit, this framework outlines three distinct archetypes of PMF which help you understand your product’s place in the market and determine how your company operates.

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