Boundless Podcast

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Boundless Podcast

Boundless Podcast

@Boundless_DODF

The Boundless Podcast puts host Richard Foster-Fletcher into conversation with global Technologists, Thought leaders and Researchers.

Milton Keynes Katılım Temmuz 2020
15 Takip Edilen12 Takipçiler
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Richard Foster-Fletcher
Richard Foster-Fletcher@RFosterFletcher·
Humans& just raised a $480M seed round at a $4.5B valuation. Thinking Machines had the team, the vision, and the valuation too. But now the team is departing. Could access to compute be the reason? It's GPUs that decide whether ventures can be built. Humans& needs its investor Nvidia to help them jump the queue. Is this the future of AI lab startups: you need capital, talent, vision, and a VIP pass to GPUs?
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Richard Foster-Fletcher
Richard Foster-Fletcher@RFosterFletcher·
AI has no network effects. When a colleague uses the same model, their queries do not improve yours. When a thousand employees prompt the same system, the system does not accumulate their collective intelligence. The organisation does not get smarter through aggregate use. Each session begins without memory of the last. Each user interacts with something that has already forgotten them. This is different from most platforms that became valuable at scale. Slack becomes more useful when more colleagues are on it. Google became more useful as more people searched, because aggregate behaviour informed relevance. Network effects meant that adoption by others increased value for you. AI does not work this way. Your prompts do not train the model your colleagues use. Their refinements do not benefit you. The institutional knowledge your team pours into these systems does not accumulate anywhere retrievable. It dissipates. The organisation invests cognitive effort into a system that treats every interaction as the first. The result is a strange inversion. Platforms that became dominant through network effects rewarded collective adoption. AI rewards individual skill. The person who learns to extract value from Claude is not contributing to a shared resource. They are building a private competence that does not transfer. Organisations are treating AI as infrastructure, something that improves with scale and shared use. It is closer to a tool, where skill matters and accumulation does not.
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Richard Foster-Fletcher
Richard Foster-Fletcher@RFosterFletcher·
Right now, the future belongs to the people who are too busy building to explain.
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Richard Foster-Fletcher
Richard Foster-Fletcher@RFosterFletcher·
“Incumbents rarely fail by ignoring new tools. They fail by adopting them in ways that reinforce old habits.” Clayton Christensen #AIstrategy #GenerativeAI
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