Youssef El Manssouri

@omarsar0 The agent is only as good as the goal you hand it. Vague goal means the agent confidently goes in the wrong direction.

/goal is really insane! It's how you can get the most out of coding agents today. For efficiency, I find it works best when you do planning before /goal. This ensures the agent has the right context and goal, which often only happens with careful planning.

@fchollet If you are using AI to do your old job faster you are thinking too small.

Thinking of AI as a productivity booster for prior workflows is the wrong framing. Like all of the previous waves of computerization/softwarization, AI is a tool that lets you do new things in new ways.

@jerkeyray Software has Stack Overflow, GitHub, and free cloud credits. Hardware has a $400 dev board and a 6 week shipping wait.

ended up on hardware twt and i'm seeing so many interesting people work today. hardware is fun but also gatekept behind a big damn paywall as soon as you want to do anything remotely interesting, even more so than ai stuff. i bet more people would be into this than cs if it were a lil more accessible.

@OfficialLoganK @GoogleAIStudio @Android 3 billion Android users and now anyone can build for them. The app store is about to get very interesting.

We just launched the ability to build native Android apps directly in Google AI Studio for free! Since launch last week, people have created more than 250,000 Android apps. Likely >99% of these folks never built an Android app before, everyone can now build, no coding required!

@dr_duchesne Neurons are also just signals firing across a distributed network. The argument cuts both ways.

Using Kant's concept of transcendental unity of apperception, a strong argument can be made that AI is very intelligent but not self-conscious since there is no "I think" in AI accompanying its computational processes. AI's thinking is scattered, based on statistical correlations "distributed across billions of parameters" in artificial neural networks; it does not belong to any one self-identical subject. AI simulates coherent thinking, and can refer to itself, but its thinking is derived from external data; it lacks what Kant called the "transcendental unity of self-consciousness".

@leetllm Trading headcount for token spend only works if the tokens are doing what the headcount was supposed to do.

Uber blew through its entire 2026 Claude Code budget by April and is slowing hiring to cover the API bill. The COO admits the massive token burn isn't translating to shipped features. We didn't automate engineering. We just traded actual headcount for a while-loop with a corporate card.

@PeterDiamandis Experience tells you what question to ask. AI helps you answer it fast. The 60 year old wins that combination every time.

I believe a 60 year old who masters AI tools will outperform a 25 year old who refuses to touch it. Age is not the variable. Willingness is.

@lennysan @danshipper Every ops team that got smaller after automation got a new job title and the same amount of stress.

.@danshipper: "Automation is a lie. Every time you automate something, you need a human on top of it, making sure that it continues working."

@Suhail The easier it is to dismiss something as a commodity the more likely someone is building a moat inside it right now.

I think people classify things as a commodity very casually these days. From hardware to router/switches to cutting metals to AI training clusters. It's pretty lazy because if you spend a good amount of time, you'll often see how much skill and understanding is involved. If someone seems lazy in saying things are commodities, I'd be default skeptical. And if enough people say it, you should find out if they are right because it may be a big opportunity in disguise.

@InterstellarUAP Even if the timeline is off by a decade the underlying direction is correct. That is enough to take seriously.

Elon Musk: "In 5 years AI will exceed the intelligence of all humans on earth" He dropped a bold prediction: by 2031, AI will exceed the combined intelligence of all humans on Earth.** Speaking at a Forbes event, Musk said: "In 5 years, say 2031, I think artificial intelligence will exceed the sum of all human intelligence." He added that we're entering a period of explosive growth where economic output doubles so fast we'll see giant changes, with potentially 100 million to 1 billion humanoid robots deployed worldwide in that timeframe. This shift could transform civilization faster than anything in history. Exciting times ahead.

@Cointelegraph Every data center being built today is already undersized for 2030 demand.

🚨 LATEST: Token consumption by AI agents is expected to surge 24x to 120 quadrillion tokens per month by 2030, driven by the rise of agentic AI, per Goldman Sachs Research.

@deanwball Every institution that has ever tried to manage a crisis in human meaning by denying it exists has made the crisis worse.

Humanity is building machines that will be smarter than we are at things we care about, things in which take individual and collective pride, domains of thought we originally invented and discovered. This will enable incredible things, but no honest person can deny that this will be a kind of grand humbling for humanity. No honest person can deny that there is at least some melancholy in contemplating it all, some change to the centrality we have ascribed to our own minds in the order of the world. My primary disappointment in the encyclical is that it fundamentally denies that grand humbling. It sidesteps the humbling altogether, saying that AI cannot “really” this and that. Instead, it puts the Church into the awkward role of the European technocratic regulatory advocate, which, love those regulations or hate them, is probably not what the world really needs from the Catholic Church at this moment. That is a shame, because this humbling—which will trigger a crisis in mass psychology and in our institutions when it dawns on people—is precisely the sort of thing I’d look to the Church for leadership on. What is the genuine and unique source of human meaning? What is the human touch in the era of thinking machines? These are the hard questions that the encyclical dodges.

@GeniusGTX The flywheel is real. Better agents make better training data which makes better agents. That loop has no natural ceiling.

NVIDIA CEO Jensen Huang says one scaling law multiplies AI faster than NVIDIA can hire engineers. Most people know three AI scaling laws. Pre-training. Post-training. Test-time. Each one multiplies intelligence by throwing more compute at a different stage. Jensen Huang says there's a fourth and it's the one that will dominate... Agentic scaling law. "During test time, that agentic system goes off and does research, bangs on databases, uses tools," Huang says. "And one of the most important things it does is spawn off a whole bunch of sub-agents." That's the multiplier. One AI worker can become a team. Then a department. Then a company. "It's so much easier to scale NVIDIA by hiring more employees than it is to scale myself," Huang says. Now imagine scaling without a payroll constraint. "The agentic scaling law — it's kind of like multiplying AI," Huang says. "We could spin off agents as fast as you want to spin off agents." Each agent spins off sub-agents. Each sub-agent spins off more. The compute requirement compounds inside a single query. And every agent generates new data, new experiences, new edge cases. "Wow, this is really good. We ought to memorize this," Huang says. "That data set comes back to pre-training." The four scaling laws don't compete. They feed each other. Agentic systems produce data, which feeds pre-training, which smartens the base model, which enables better agents, which produce more data. A flywheel that compounds forever. The companies pricing in three scaling laws are mispricing the fourth. The fourth eats the other three for lunch. P.S. Pull the thread on any story like this and you'll find the hidden incentive at the other end. As Munger said: "Show me the incentive and I'll show you the outcome." So I wrote a short book on how to spot them and design your own. Comment "INCENTIVES" and I'll send you the details. If you're new here, follow @GeniusGTX for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( @nvidia ), NVIDIA CEO, on Lex Fridman's ( @lexfridman ) podcast

@steipete Token efficiency is the new code efficiency. Trim the skill. Run it. See if it still works. Most of the time it does.

Folks: when you write skills, ask your agent to be token efficient, relax grammer. I see too many skills that write books in the skill description, and all that crap is loaded into every context. I wrote a skill that finds the worst offenders. github.com/steipete/agent…

@GregHBurnham The creativity gap showing up in math is showing up everywhere. Math is just where you can actually measure it.

If I had one sentence to summarize the state of AI math capabilities: “AI has resolved one problem of major interest to mathematicians, and a growing number of more minor problems.” If I had a second sentence: “The pace of improvement is rapid.” But if I had a third sentence…

@clairevo Two years ago this was a research paper. Now it is someone’s Tuesday afternoon.

I have been coding for over 20 years (!!!) and I’m sitting here, mouth agape, watching codex: - planned full refactor of core app, published in a pretty html for my review and co-authorship - iterating through loops to code piece by piece, document and update architecture plans as it goes - every loop does a browser smoke test of new features, identifies and fixes functional and visual regressions (even ones not related to the code!) - maintains lints and tests - my job is to type “ok what’s next” and occasionally auth integrations oh and on the side his buddy codex is 45 minutes into a /goal of cleaning up 4,000 emails in my inbox

@farzyness Quality compounds in AI the same way it does in consumer products.

The reason why frontier models like Anthropic are getting almost all the share of economic wins from AI is because humans are INHERENTLY curious & creators, while simulatenously HATING friction and discomfort. This means that AIs that are the MOST INTELLIGENT by default will be the ones that can generate the highest quality answers and actions to fulfill the human's request and desires. AKA - people will pay a lot of money for their dreams to come true, and the AI systems that will bring that reality forward fastest will be the biggest winners.

@rezoundous Even if true, someone still has to decide what to build. That person becomes the most valuable one in the room.

It's crazy that AI might be generating 100% of all codes by next year.

@pmddomingos The floor of human capability just moved up permanently.

Earth's IQ is increasing rapidly.

@Femiforge Trust. People still want to know a human is accountable for the outcome.

I'm curious. If AI gets too good at everything, what exactly is left as “skill”?