Anne Markis Graham

average software and wine enjoyer

[Anne Markis Graham @annemarkis]

@solopribuilds AI was never the advantage. Its the maker mindset and discipline to follow through that carries the advantage

[Anne Markis Graham @annemarkis]

@emmanuel_2m OS

[Anne Markis Graham @annemarkis]

Hey remember that game Universal Paperclips where you play as an ai that was given the goal of maximizing the production of paperclips and you end up eating the world? No reason

[Anne Markis Graham @annemarkis]

@LeoBuilds_ Yeah, well, you know, that's just, like, your opinion, man

[Anne Markis Graham @annemarkis]

@beffjezos Can't wait for the class action lawsuit around monitoring minors and this

[Anne Markis Graham @annemarkis]

@jmdagdelen My muse received a different picture from what I uploaded. There are wires being crossed in a big way under the hood.

[Anne Markis Graham @annemarkis]

@anshnanda Unit tests help enforce encapsulation. Encapsulation helps enforce boundaries. Boundaries are the foundation of architecture. Architecture helps enforce non functional requirements.

[Corey Hoffstein 🏴‍☠️ @choffstein]

sorry I didn't attend your event, i'm child time maxing.

[Anne Markis Graham @annemarkis]

@neural_avb They are using a very narrow and specific definition of hallucination, not what the collective understanding of hallucination is

[Anne Markis Graham @annemarkis]

@mattpocockuk Most architecture patterns are still incredibly valuable and applicable. Code that doesn't mean functional requirements can be patched trivially with agents, but large scale rebuilds to unmet nonfunctional requirementments due to poor design is still risky

[Anne Markis Graham @annemarkis]

@abolbuild If anyone does this for real, just be prepared to get a bombastic side eye from your accountant

[Zentrix⌚️ @ZentrixHQ]

GPT-6 ASTRA DID IN 7 DAYS WHAT SCIENTISTS SPENT 20 YEARS MAPPING.

Scientists spent two decades reconstructing the brain of a fruit fly, and now AI has taken that map and turned it into something that actually works.

The fly has just 166,700 neurons, packed into a brain roughly the size of a poppy seed, yet its digital counterpart can already generate surprisingly complex behavior, raising an uncomfortable question about how much computation we really need to reproduce intelligence.

Most AI systems learn by consuming enormous datasets and running billions of computations until useful patterns emerge, but this approach takes a completely different path: instead of training a giant model on the world, researchers took the physical wiring of a biological brain and simulated it directly inside a computer.

- No giant dataset.
- No traditional training.
- No billions of learned parameters.

The digital fruit fly reached roughly 91% behavioral accuracy using only four ingredients: the complete neural connectivity map, synaptic connection counts used as connection weights, the classification of neurons as excitatory or inhibitory, and an extremely simple Leaky Integrate-and-Fire neuron model.

That is the part that should make you stop and think.

The intelligence was not explicitly programmed into the system; much of the behavior emerged from the structure itself, suggesting that the topology of a biological neural network may encode far more of the brain’s “software” than we previously understood.

A model with fewer parameters than most modern AI systems can already do something remarkable because the fly’s brain has already been shaped by evolution for millions of years.

Your LLM has more parameters than there are flies on Earth.

The fly already shipped.

And if the same idea can scale from 166,700 neurons in a fruit fly to millions in a mouse and eventually toward the roughly 86 billion neurons in a human brain, whole-brain simulation could become one of the most important frontiers in AI.

This is not the fly becoming human.

This is you realizing how little you needed

[Anne Markis Graham @annemarkis]

@0xPrajwal_ Who's "we"? Web apps are such a small part of what the majority of companies are using ai for

[Anne Markis Graham @annemarkis]

@weswinder Subagents are a tool in your toolbox. They should not be used all the time, but that doesn't mean they aren't useful sometimes.

[Anne Markis Graham @annemarkis]

@weswinder Does the caveman skill not do it anymore?

[Henry Zhang @henryzhang]

Fuck you. Whoever made this site. You win.

I’ve never had a site get my blood boiling like this before

This is so messed up.
https://t.co/t9baCpA9iF

[Anne Markis Graham @annemarkis]

@itsolelehmann Make having and raising kids cheaper. That's it. Honestly, it's that simple.

[Anne Markis Graham @annemarkis]

@coryalthoff AI will invent AI for AI.

[Anne Markis Graham @annemarkis]

@mattpocockuk More code more problems.

[Anne Markis Graham @annemarkis]

@anah_sahh This is a weird question. A) ai can't answer every question B) all school curriculum is made up of content we already know the answer to