Kamdoum Ngamgoum Franck Junior(Sabitou)

A Trillion Dollar Context Economy. New software category to reshape the world’s software industry. Context is King You’re welcome.

Happy Week Builders. Build Different.

The thing that most people miss initially with agents is that the scope of what we will produce will go up commensurate with what the tools can now automate, which basically means we’ll working the same or even more. Everyone thinks that we will use AI to do what we already do but cheaper and faster, which would lead to fewer people or getting more time back. In fact it will just mean we’re doing more things. Once we figured out that we can automate a particular task, you then expand the size of work to do many more of those or other tasks in a project. The result is that you’re actually combining many other previously hard to combine tasks into a single workflow, causing even more work. The software project scope now multiplies because you know you can build far more. The customer insights project now balloons because you know you can reasonably aggregate far more data. The marketing campaign has even more creative production because it’s cheaper and easier. This is going to happen in almost every field of work.

Bye. Ciao.

We need Transformers for AI agents, agentic systems, Long-horizon tasks, self-improving systems.

In Frontier tech, mission is the moat.

Le meneur de jeu🔟 c’est TPKING👑🧠

Vous voyez que tout ce que TPKING represente vous manque. Je suis l’unité de mesure👑🔟🌍

Context is King.

No dating until Kardashev 3😹.

Thanks you Universe for keep running things smoothly

Let your yes be a yes. Let your no be a no.

@ClementDelangue We need transformers for agents first

We need more open agent traces datasets. Who can help?

Chers Africains, finissez votre propre bataille. Comment savoir qu’on n’a pas fini ses propres batailles? Lisez 👇🏻

The big gap in most enterprises being able to automate work is being able to get right context to the agents. We experience a huge benefit in coding in tech because the problem is generally far simpler than other areas of knowledge work. The codebase contains a bunch of necessary context, access controls and permissions are generally not a major concern, the users are technical enough to supply the context, and the final output is generally quickly verifiable. Most knowledge work doesn’t look like this. The data is sitting in legacy silos that don’t easily connect to agents, the access controls are all out of whack (people have either too much or too little access), the information isn’t agent-ready, and more. This is the big context gap for any type of agentic workflows in most organizations right. The platforms that make solving this easy, and the companies that retool their workflows to enable this, will be the winners in a world of agents.

Context is now (and perhaps always been) the bottleneck on growth, because anything with full context can be automated. The race is on to make the collective brain of the organization legible to AI

Curiosity First. Conviction Next.

It’s extremely difficult or impossible to have meaningful high quality partnership conversations if the two sides perceive each other as competition (perception > reality). It’s a critical strategic consideration for founders and impacts product/tech decisions.

Young man, invent fairy tales about cofounders, false hiring stories. Being an hater is very hard. Don’t bother me too much, I can forget you’re not an adult.

Young girl, take even $ millions to publish thousand hiring calls, make false allegations, invent fairy tales about me. That is your business. Even in a metaverse, if you’re the only girl on the earth and my life depends on you, I will choose death. Stupid!!!

Listen is fucking hard. Trust liars is easy. Trust haters is easy.