Richard Foster-Fletcher

I analyse the fault lines AI creates in judgement, governance, and power. Chair of MKAI.

[Richard Foster-Fletcher @RFosterFletcher]

@pgulati17 @AnthropicAI @pgulati17 ...any thoughts?

[Richard Foster-Fletcher @RFosterFletcher]

The Customize button on published @AnthropicAI artifacts has been broken for weeks. Opens a blank chat, no code loaded.

40 artifacts, no original conversations. No way to edit any of them.

Anyone else?

[Richard Foster-Fletcher @RFosterFletcher]

@pgulati17 @AnthropicAI Awesome, I already just did that by accident and was shocked to find that it worked. Thank you so much!

[Richard Foster-Fletcher @RFosterFletcher]

https://t.co/1uy7eONVjX

[Richard Foster-Fletcher @RFosterFletcher]

https://t.co/uWI6GLR2Kk

[Richard Foster-Fletcher @RFosterFletcher]

https://t.co/X7eogshoLW

[Richard Foster-Fletcher @RFosterFletcher]

https://t.co/dAbssuQEy1

[Richard Foster-Fletcher @RFosterFletcher]

https://t.co/oNDO23aeN9

[Richard Foster-Fletcher @RFosterFletcher]

@SkaleNetwork @PGATOUR Congrats @SkaleNetwork team

[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?

[Richard Foster-Fletcher @RFosterFletcher]

https://t.co/spxiqiR1Wv

[Richard Foster-Fletcher @RFosterFletcher]

@Dhaunae This reminds of me other AI use cases like self-driving cars. One day people will realise that we are describing the build of a human, not a machine. And that the gap between LLMs and a human brain are gigantuous - comparing the two will almost be seen a humurous in the future.

[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.

[Richard Foster-Fletcher @RFosterFletcher]

@SavannahFeder For a brief moment in history we thought AI commenting for you on social media was a good idea.

Sorry, forgot we haven't got there yet.

Also, LLMs sound like LLMs. Doesn't matter what anyone claims.

[Richard Foster-Fletcher @RFosterFletcher]

If coding is now the wrong place to invest in your development, what's the right one?

Learn to read systems.

1. Learn to see how the parts connect to the whole.
2. Learn to ask why something is built the way it is.
3. Learn to follow a decision to its consequences.

Coding is commoditised by AI, architecting is more human than ever.

Use the former, master the latter.

[Richard Foster-Fletcher @RFosterFletcher]

Congrats @Replit, this is really rather impressive...

[Replit ⠕ @Replit]

AI builds web apps well. Mobile apps have been harder.

Now, the inventor of React (the technology that AI uses to build apps), has a new announcement.

[Richard Foster-Fletcher @RFosterFletcher]

MIT puts enterprise AI rollout at 5%. If you read that as AI failing to prove its value, please turn your attention to Replit.

They just announced natural-language mobile app development. Describe the app, preview it on your phone, ship to the App Store. A year ago this took a team, weeks, and Apple process fluency. Now it takes minutes.

What will you ship?

[Richard Foster-Fletcher @RFosterFletcher]

https://t.co/07GtxBOuOw

[Richard Foster-Fletcher @RFosterFletcher]

@paulnovosad @cblatts 💯

[Richard Foster-Fletcher @RFosterFletcher]

I've mentioned Claude code to several of my network. They always reply with the same question, "What should I do with it?" I've built 47 apps with Claude, all helpful, all useful. Everyday I have more ideas. Then there's posts like this saying, what do I do with Claude? Catch up...fast!

[Richard Foster-Fletcher @RFosterFletcher]

@PocaiJan Thank you. Please do check out my writing, Jan, if you have a chance: https://t.co/CsWuZk64gi