minutedmed

Entrepreneur | SaaS & AI enthusiast | Passionate about value creation, innovation, and human potential 🌍🇪🇺

[minutedmed @MeD____]

@EchosTechMedias @grok peux tu resumer l’article?

[Kyle Tibbitts @KyleTibbitts]

The World Cup absolutely mogs every other sporting event. It’s what the Olympics wishes it was X100.

You’ve got Europeans road-tripping across America and having their minds blown by Buc-ee’s and Bass Pro Shops. You’ve got a small Kansas town falling in love with an Algerian club that chose Kansas City as their homebase. You’ve got South Korea training in Utah to prepare for the altitude in Guadalajara.

For one month, the whole world forgets we’re supposed to hate each other over differences that barely matter. It’s the closest thing we have to world peace.

[minutedmed @MeD____]

@WorldCupMotion 🇫🇷

[minutedmed @MeD____]

The new Houses.
The Iron Throne is now AI.

[minutedmed @MeD____]

@gregisenberg Did you check the token cost first? It’s like 2x Opus 8 pricing 🤣

[minutedmed @MeD____]

This 👇🏼👇🏼👇🏼

[Chamath Palihapitiya @chamath]

Your margin is my opportunity: AI version…

The biggest surprise of 2026 is that the capability gap between the best open-weight/source models and the best closed models has narrowed much faster than the pricing gap. The pricing gap remains enormous while the capability gap is quite narrow.

What does this means in practice?

For a company consuming 1 billion input tokens and 1 billion output tokens per month:

GPT-5.5 Pro: ~$105,000
Claude Opus 4.8: ~$30,000
DeepSeek V4 Pro: ~$5,220
DeepSeek R1: ~$2,740

I asked ChatGPT what it thought about this and it answered as follows:

“If I were building a company today, the economic frontier would look roughly like:

DeepSeek V4 Pro / R1 for high-volume inference.

Claude Opus for premium agent workflows where reliability matters.

GPT-5.5 Pro only for workloads where its incremental capability demonstrably produces enough business value to justify a 20–40× token premium.”

Most CEOs have no idea that, instead of this nuanced approach, their teams are running amok internally by picking the most expensive models in most cases and burning through massive budgets with zero governance, audit ability and control.

As control planes like our Software Factory become more standard, you can expect the run rate revenue growth of the frontier labs to go down meaningfully and the revenues of the open models to skyrocket.

Why? Because we can implement the nuanced approach above and be agnostic to model - instead focusing on customer intent, model task and cost management among other things.

[Chamath Palihapitiya @chamath]

Your margin is my opportunity: AI version…

The biggest surprise of 2026 is that the capability gap between the best open-weight/source models and the best closed models has narrowed much faster than the pricing gap. The pricing gap remains enormous while the capability gap is quite narrow.

What does this means in practice?

For a company consuming 1 billion input tokens and 1 billion output tokens per month:

GPT-5.5 Pro: ~$105,000
Claude Opus 4.8: ~$30,000
DeepSeek V4 Pro: ~$5,220
DeepSeek R1: ~$2,740

I asked ChatGPT what it thought about this and it answered as follows:

“If I were building a company today, the economic frontier would look roughly like:

DeepSeek V4 Pro / R1 for high-volume inference.

Claude Opus for premium agent workflows where reliability matters.

GPT-5.5 Pro only for workloads where its incremental capability demonstrably produces enough business value to justify a 20–40× token premium.”

Most CEOs have no idea that, instead of this nuanced approach, their teams are running amok internally by picking the most expensive models in most cases and burning through massive budgets with zero governance, audit ability and control.

As control planes like our Software Factory become more standard, you can expect the run rate revenue growth of the frontier labs to go down meaningfully and the revenues of the open models to skyrocket.

Why? Because we can implement the nuanced approach above and be agnostic to model - instead focusing on customer intent, model task and cost management among other things.

[minutedmed @MeD____]

@business Google also owns a stake in SpaceX. At a $1.5T IPO valuation, that stake could be worth $100B+.

[Naval @naval]

Software platforms are going to be rebuilt for agent-first.

[Google Gemma @googlegemma]

Meet Gemma 4 12B!

A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license.

Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B: 👇

[minutedmed @MeD____]

Well, that was quick.

[Polymarket @Polymarket]

JUST IN: Sam Altman says AI budgeting has suddenly become a “huge issue” for companies.

[minutedmed @MeD____]

Mouais.

Oui, le cout par token va devenir un vrai sujet.

Mais dire que les frontier models ne servent plus a rien, je n’y crois pas.

Tu auras toujours besoin de gros modeles pour les taches complexes : code, raisonnement, agents, recherche, analyse lourde…

Et surtout, c’est souvent grace a ces gros modeles que tu peux ensuite distiller des modeles plus petits, moins chers et plus efficaces.

Mais sans frontier models, tu n’as pas grand chose a optimiser derriere.

[minutedmed @MeD____]

@paulichon Tellement vrai

[minutedmed @MeD____]

@verge @grok can you summarize this article?

[minutedmed @MeD____]

@davidlee @eric_seufert 😂

[Paul Lê @paulichon]

Demande d’ajout linkedin acceptée
=
Démarchage commercial direct

[minutedmed @MeD____]

@Pat69_ C’est vrai, il y a plein de use cases simples.

Mais en enterprise, c’est rarement plug and play.

Tu as de la politique interne, de la gouvernance, de la data a cleaner, des process a redefinir, de la compliance, des teams a aligner…

[minutedmed @MeD____]

Unpopular opinion :

Je pense que la croissance des revenus lies aux modeles IA va decelerer.

OpenAI et Anthropic affichent des croissances incroyables, mais les entreprises deviennent plus vigilantes sur leurs depenses IA.

Pourquoi ?

Parce qu’elles ont du mal a attribuer un ROI clair a leur consommation de tokens.

On va passer d’une phase de depense euphorique a une phase beaucoup plus controlee :

use cases clairs, KPIs definis en amont, ownership, suivi de la consommation et impact business mesurable.

L’IA va continuer a croitre, evidemment.

Mais la phase “on consomme des tokens et on verra bien” touche probablement a sa fin.

[minutedmed @MeD____]

@TomLumea Complique de repondre comme ca : ca depend vraiment du business, de ce qui est mesure, et surtout de l’impact clair sur la productivite ou les revenus par exemple.

[Shining Science @ShiningScience]

Just ten minutes of jumping rope burns as many calories as a thirty-minute jog. This high-intensity workout engages multiple muscle groups at once, quickly raising your heart rate and keeping it elevated.

According to Arizona State University, this efficiency makes jumping rope comparable to longer aerobic exercises like jogging. It also boosts coordination, endurance, and cardiovascular strength. For anyone short on time, jumping rope is one of the most powerful calorie-burning exercises you can do.