mame

Building with AI agents. Physics roots, engineering heart. Made in Italy but roaming in California. Ex Meta, Twitter, Mighty Networks, Microsoft.

[elvis @omarsar0]

https://t.co/d8LgEwfVH6

[Aravind Srinivas @AravSrinivas]

“I don’t ever give up” Congrats @elonmusk 🚀

[mame @mame1491]

TDD uses tests to shape how you build something. Verification-template uses testability to decide whether you should build it that way at all.

verification-template operates on contracts (behavioral invariants), treats verification as a design input rather than a design tool, and adds triage for the agent-driven case where the LLM might test the wrong thing.

[mame @mame1491]

Related but different lineage. SBE (Adzic) gets you executable specs as living documentation. Humans write the examples, tools run them.

verification-template assumes the LLM is doing the writing. So it has to do two things SBE doesn't:

1/ Force the LLM to think about verification before design: extract requirements, ask "how will we know this works and keeps working," flag untestable ones as design risk.

2/ Make every PR contract-shaped: what invariant am I creating, what test guards it, what stops a future change from weakening it silently?

Same north star (specs and tests fused). Different operating layer.

[Curiosity @MAstronomers]

You are looking at one of the most detailed 3D reconstructions of a humancell (eukaryotic cell) ever made.

Every molecule. Every structure. Mapped in extreme precision.

This isn't just a pretty picture. It's a microscopic universe finally brought into focus.

[DaVinci @BiancoDavinci]

Japanese high school teacher Hirotaka Hamasaki draws amazing blackboard art for his students, then erases it to show the beauty of letting go.

[Alfred Lin @Alfred_Lin]

FOMO (fear of missing out) and FOLS (fear of looking stupid) are the two fears that prevent people from making the right decisions.

FOMO pushes you to chase what everyone else is chasing. You focus on what's already consensus. You can't differentiate. You don't find the asymmetric opportunity.

FOLS is worse in some ways because it's personal. When you back something nobody else believes in, and it fails, you have to sit with the fact that your peers thought you were wrong.

The real insight is that these two fears are actually the same fear dressed up differently. They're both about protecting your identity and your status. They're about *being* right instead of *getting it* right.

Whether you're a founder, operator, or investor, you have to accept that you will sometimes miss out, and you will sometimes look stupid. That's the price of conviction.

The people who compound wins over decades are the ones who learned early to separate themselves from their outcomes. They don't need the world to validate them in real time. They're playing a longer game.

[ST @seyitaylor]

.@phantom just launched Cash to everyone in the US.
Here’s what that means:

I joined @phantom as the founding PM for Cash, and we came to an important realization: crypto was a silo. The future was a single balance that worked as well off-chain as it did on-chain — in short, money with crypto superpowers.

Today, we’ve taken a massive step towards that by opening Phantom Cash to everyone in the US 🚀🚀
It’s self-custody app to receive and send wires for free, trade stocks, crypto, and perps — plus it comes with a free debit card (and it works in Apple Pay! 🤑)

This is just Day 1.

We've got a ton of things cooking across the entire stack to make Phantom the new home for your money. Plus, support for more countries is coming soon!

Many thanks to the entire @phantom team for their incredibly hard work to get us here. Special shout out to CK, @donnie, @mame1491, @jorge_sfo, @0xarmand, and for their support and leadership.

[Siqi Chen @blader]

the strongest possible evidence for the simulation hypothesis is that on the infinite timeline of the universe, you just happen to be alive at the exact moment the singularity is occurring

[Steven Strogatz @stevenstrogatz]

Do you get it?

[Elon Musk @elonmusk]

Not AI

[Dario Amodei @DarioAmodei]

The Adolescence of Technology: an essay on the risks posed by powerful AI to national security, economies and democracy—and how we can defend against them: https://t.co/0phIiJjrmz

[Phantom @phantom]

Prediction markets are now live for 100% of eligible users 😎

Discover, discuss, and predict outcomes of real-world events using any @solana token in your wallet including @useCASH.

Powered by @Kalshi 🟢

[DEGEN NEWS @DegenerateNews]

NEW: PHANTOM INTRODUCES “PHANTOM TERMINAL”

[Yishan @yishan]

My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers.

App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to apply the analogy of "fast startup, slow incumbent" here), they are just big. Far more so than with any other prior new technology, there is a massive and fast-moving wave that obsoletes every new app almost as fast as it can be invented. There is almost no time to build a company and scale it.

There are two ways AI application startup founders can make money:
- Make a flash-in-the-pan app that generates a ton of cash and bank the cash (my estimate is that you have about 12-18 months cashflow generation)
- Make a good enough app that you get acquired by one of the big players for sufficient equity

The situation is highly unstable - we don't know if it's going to crash or go to the moon but both scenarios make it very unlikely that any AI application startup will independently become a generational supercompany (baseline odds are low to begin with).

The best odds are finding an application niche in a highly specialized field with extremely unique and specific data barriers, ideally ones relating to real atoms (hardware or world-related) data and not software/finance.

[Mike Maples, Jr @m2jr]

The skill isn’t predicting the future.
It’s experiencing it early. And knowing that you're right.

[Garry Tan @garrytan]

Most people are still running scarcity scripts from a world that’s already obsolete.

What’s happening right now (in AI, in energy, in materials, in biology) is the shift from allocation to creation. But our political and cultural systems were built for managing scarcity: who gets what slice, not how to expand the pie. When those systems meet exponential tech, they panic. They see threat instead of possibility.

The tragedy is psychological: if you believe the world is zero-sum, abundance looks like chaos. But if you believe intelligence and coordination can grow, abundance looks like the next stage of civilization.

[Brian Armstrong @brian_armstrong]

It’s not a debate anymore - crypto and stablecoins are the tools that will update the global financial system.

Excited to be collaborating with @Citi to work on improving stablecoin utility and digital asset adoption with their clients.