Ralf Scharnetzki

mission: support the see-saw of analysis/synthesis across information streams to let users generate+share new mental images that match up with a world of change

[Burke Holland @burkeholland]

“Without human direction, you have compute running in circles”

[signüll @signulll]

yeah my habit has already changed. for about 30-40% of asks, it’s much more convenient to reach for siri esp since it has all of the context, i suspect this will increase over time.

pretty remarkable change.

[Ray Dalio @RayDalio]

For example, when choosing which movie to watch or what book to read, are you drawn to proven classics or the newest big thing? In my opinion, it is smarter to choose the great over the new. #principleoftheday

[Simon Willison @simonw]

@GaryMarcus Last year it was laughable that any company would spend $1,000/employee/month on AI - the $20 plans were enough for everything anyone was using it for

This year setting a cap of $1,000/month is being seen as the financially prudent thing to do, and Uber's is $1,500 /per tool/

[Ralf Scharnetzki @scharnetzki]

Removing suddenly access to hosted AI (Anthrophic Fable 5) will push into direction of local AI (Apple is now the company with the clearest strategy about local AI) https://t.co/l12YMC5TF7

[Malek Ould-Oulhadj @malekoo]

https://t.co/zQCE2uyQP8

[Ralf Scharnetzki @scharnetzki]

This is reality when you are not autonomous:
The one who can make something available to you can also decide to take it away at any moment.
Thank you for the experience.

[Royally Stewed @RoyStew78036358]

@emollick Presumably this?
https://t.co/r9pHYge0Dw

[Ralf Scharnetzki @scharnetzki]

„Build the thing that lets you create new things: experiences that didn’t happen before.“

[Garry Tan @garrytan]

Everyone thinks AI coding tools set founders free.

Watch what people actually build with them: rules, approvals, process, layers. The same cage, assembled faster.

The tool that can scaffold anything in an afternoon will scaffold your bureaucracy in an afternoon too.

Speed of construction is speed of calcification. Build the thing that lets you create new things: experiences that didn’t happen before.

[Erik Meijer @headinthebox]

At yesterday's Verification Summit [0], @evelovesolive mentioned that she spends 24/7 thinking about a critical shift: we should be designing programming languages for agents, not for humans.

As a professional language designer, this reality hit me years ago. It was crystal clear that my job would disappear long before developer jobs did.

That is why in early 2023, I pivoted. I stopped designing for human ergonomics and started designing a language (called Universalis, thanks for the shoutout @satnam6502!) optimized for AI to generate efficiently [1, 2], for theorem provers to reason and validate rigorously [4, 5], and for humans to comprehend easily [3].

For three years, I was the crazy one. Yesterday, the crazy went mainstream ;-)

[Ralf Scharnetzki @scharnetzki]

Interesting ideas how to adjust society in the age of AI, example: „As a general principle, it seems important that any person or organization that is the subject of adverse government action (e.g. regulatory or legal action) has access to AI that is at least as capable as whatever the government is allowed to use in that particular action. This would mean not giving the government an unfair advantage, effectively undermining citizens’ legal rights.“

[Dario Amodei @DarioAmodei]

Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: https://t.co/Lh6PWae178

[Ethan Mollick @emollick]

More true than ever.

[Peter Steinberger 🦞 @steipete]

@_ARahim_ @bcherny only boomers fix typos in prompts. llms perfectly understand you even if you mistype.

[signüll @signulll]

this is absolutely incredible.

[Ray Dalio @RayDalio]

Make sure they're fully informed and believable. Find out who is responsible for whatever you are seeking to understand and then ask them. Listening to uninformed people is worse than having no answers at all.

#principleoftheday

[Thoughts by a tennis addict @Alice0919082253]

Say what you like about Zverev; but for someone who was told that he'd never play tennis because of his diabetes, for someone who had such a severe injury four years ago, for someone who had been completely written off... he's overcome everything. He's done it. What a story

[Cory House @housecor]

I just watched the 3.5 hour keynote at Microsoft Build.

What’s wild is what they didn’t mention at all:

C#
.NET
TypeScript

They only mentioned VS Code once: “Our new AI model is in VS Code”.

I don’t recall seeing any code at all.

Agentic engineering replaced programming.

[Ralf Scharnetzki @scharnetzki]

„What if the ultimate battle — the one that determines who gets compute — becomes a matter of who can bring the most cash to bear? And what if that advantage compounds, such that the company with the most cash capacity ends up with the most compute capacity (which we already know they will sell, in addition to using themselves) driving the ability to generate more cash? In that world, what company would be your best bet?“

[Stratechery @stratechery]

The Google Capital Company

Google has issued equity to Berkshire Hathaway in a deal that signals far more demand and a future where capital is the ultimate commodity.

https://t.co/IygVOphySV

[Ethan Mollick @emollick]

My modest proposal for how to acknowledge AI work is to use the Latin phase "Fieri Iussit," which means "commanded to be made," a common phrase on Roman Empire buildings.

You didn't make the thing, but you commanded it be done, so the acknowledgement is "Ego hoc fieri iussi."

[Simon Willison @simonw]

I'm really upset about this: OpenAI's Codex Desktop had a "Copy as Markdown" option for exporting full chat transcripts, but the feature vanished in an update a couple of days ago

Genuinely my single favorite feature of Codex compared to Claude Code
https://t.co/nk3yiPXHxL

[Dylan Field @zoink]

Opus 4.8 is a very strange model. Clearly Anthropic tried to improve honesty, which is commendable. However, the model's curiosity (already worse in 4.7) degraded further. Result is a judgmental personality + sycophancy + sooo much hedging. Basically the opposite of Opus 3.

[Dan Shipper 📧 @danshipper]

We’ve automated every single thing we can @every with AI agents.

And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3.

I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI.

After Automation: https://t.co/Lb7SUCduAg