simon

[simon @simonbrugger]

„Wenn wir die Menschen nur nehmen, wie sie sind, so machen wir sie schlechter; wenn wir sie behandeln, als wären sie, was sie sein sollten, so bringen wir sie dahin, wohin sie zu bringen sind.“ ~ Johann Wolfgang von Goethe

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Marc Lou @marclou]

I documented my SaaS journey to $20K MRR.

It took 512 days.

I got excited, I cried, I laughed, I lost hope. I got literally every moment on camera.

This video is the raw story of what building a startup actually feels like.

[simon @simonbrugger]

Das Rauschen des Meeres überwindet das der Gedanken 🌊

[Stijn Spanhove @stspanho]

🏃‍♂️ I've gamified my own run so I can race my own ghost with the Meta Ray-Ban Display.

I built a web app for the glasses, loaded a previous GPX from Strava, and dropped game mechanics on top.

Pick up coins when you keep pace, sprint zones reward extra points if you push, and a mini leaderboard on the lens shows how you're tracking against your past self in real time.

Best part: it actually works. Seeing your ghost 20 m ahead is a way stronger nudge than any number on a watch. 😅

[ABB @ABBgroupnews]

Global demand for energy is at an all-time high – and still rising.

Discover how ABB solutions are helping achieve a stable power supply and diversification of energy sources:

https://t.co/kl6ZxnHHkt

#EngineeredToOutrun

[simon @simonbrugger]

Könnte ein Mantra sein!

[simon @simonbrugger]

Shopper wollen stöbern. Ingenieure wollen zurück an die Arbeit. Hat mich Jahre gekostet, das eine zu verlernen und das andere zu bauen. 🧐

[CyrilXBT @cyrilXBT]

🚨 ANTHROPIC JUST KILLED THE DEMO AGENT ERA.

Their Agents team showed exactly what production grade looks like.

Not theory. Not a tutorial. A four layer framework for multi agent systems built to actually work in the real world.

30 minutes.

This is the video I wish existed 6 months ago.

[Anuj @anujcodes_21]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Movez @0xMovez]

Spotify's Chief Architect just showed how they ship 4,5K deployments /day with Claude at Anthropic stage

27-minutes. free. By #1 music app dev

"More than 99% of our engineers use AI coding tools. Adoption took off after Opus 4.5"

Worth more than any $500 vibe-coding course.

[Spencer Hewett @SpencerHewett]

Today, RADAR announced a $170 million Series B, bringing our valuation to more than $1 billion.

We believe Physical AI can transform the 80% of global commerce that still happens in stores. 

Retailers lose an estimated $1 trillion each year because their stores lack real-time visibility into what they have and where it is. RADAR is helping close that gap with 99% item-level inventory accuracy in real time, already deployed in more than 1,400 stores with leading retailers including American Eagle Outfitters and Gap Inc. brands such as Old Navy.

We are just getting started. 

A big thank you to our investors, including @nimble_partners, @gideonstrategic, @AlignVentures, @sound_ventures_, @ycombinator, our customers, including @AEO and @Gap Inc., @OldNavy and the entire RADAR team for helping bring us to this moment.

[Marc Andreessen 🇺🇸 @pmarca]

Checks out.

[Mayflower @mayflowergmbh]

KI ersetzt keine fachliche Entscheidung. Sie strukturiert sie.

Mit Claude Sonnet ein Priorisierungs-Framework gebaut: Tage statt Wochen, ohne Workshop-Marathon. Schwellenwerte und Gewichtung blieben im Team.

https://t.co/z0vGmqzM5m

[Obsidian @obsdmd]

Today we're introducing the new Obsidian Community site, the new developer dashboard, and a roadmap of things to come for plugins and themes.

[Andrej Karpathy @karpathy]

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.

More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:

1) raw text (hard/effortful to read)
2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default
3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default
...4,5,6,...
n) interactive neural videos/simulations

Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://t.co/z21CP5iQfu

There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.

TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

[Mayflower @mayflowergmbh]

Claude Code per MCP direkt an die Google Search Console. 200 Keyword-Kannibalisierungen über 90 Tage, Conflict-Score 0.69–0.84 für doppelte Kategorie-URLs.

Kein Export. Kein Pivot. Nur Fragen. Die neue Realität für unsere Product Ownerin Ivonne.

https://t.co/DoSR1c6rWb

[Harrison Ford @HarrisonFordLA]

May the fourth be with you

[Mayflower @mayflowergmbh]

Der KI-Loop liefert schneller, als das Team entscheiden kann.

Damit Entscheidungen dich nicht ausbremsen, wenn der Code schon fertig ist – Björn Schotte am 6. Mai auf dem Product Owner Day 2026 in Köln: https://t.co/ufCTxlDOjj

[Mayflower @mayflowergmbh]

14 Experimente, 180 Handlungen, 0 Zerstörung – obwohl ausdrücklich erlaubt. Das ist kein Feature, das ist ein Default. Wer Agenten in Produktion bringt, sollte wissen, welches Verhalten das Modell mitbringt – und welches nicht.

https://t.co/CKPOSuXYGh