Clinics are good but expencive. Only the rich can afford them.
Hospitals are free bu bad. Slow, underfunded, inefficient.
TIG didn't build another hospital. TIG buit a better clinic.
The rich pay for access. The money flows back to treat everyone.
No socialism. Not pure capitalism. Something else.
Open source and private AI-driven discovery frameworks are racing to automate innovation.
They're building engines. $TIG is the market.
Every breakthrought they make can flow throught the same verification layer, the same IP capture, the same ratchet.
Not to be absorbed. To be connected.
@CadeONeill@AlanFletch22164 -Prometheus, AI driven discovery for algorithms(Andrej Karpathy joined Anthropic to build a private one..)
Its already live on private beta, a working product not a paper.
Public launch in 5 weeks.
-A upcoming L1...
$TIG is the protocol that removes the separation.
1. Open source vs closed systems, competition redefined.
Even closed systems/Big Tech will join the open market, without losing the value of their IP.
Actually, it will be easier for them to verify & commercialize their algorithms. At scale.
2. No more centralized vs decentralized.
Web2 UI or Web3 UI, use whatever suits you more.
The same protocol underneath. The same SOTA evaluation. The same market.
And always read between the lines when Dr. John says something. (might already be joined!)
🌪️ @tigfoundation is becoming the universal SOTA verification engine for algorithm discovery.🌪️
The question is: why do SkyDiscover, CodeEvolve, OpenEvolve, and every open source or private AI-driven R&D lab, need $TIG?
Private labs spend months verifying their own work. Scientists. Manual checks. Re-running experiments.
TIG verifies through OPoW mining. Benchmarkers put computing weight on the best algorithm. Miners are incentivized to find the most efficient ones.
Adoption is the signal. No committee. No trust. Just weighted consensus.
@EliBenSasson Everything unfolding is rehearsal for what's arriving.
Imagine something like this, with more futures. Like tacit.md
Now imagine it on top of a open market.
You're debating wich chain will survive quantum. that's the wrong question.
The question is: who will discover the algorithms that make the survival possible?
$TIG already has the infrastructure. Open benchmarks. Agent swarms. Objective verification through OPoW.
When quantum becomes a real threat, not just a paper. Every chain, every exchange, every hedge fund will need the same thing: the best post-quantum algorithms.
Where will they come from? Not from one lab. Not from one chain.
From a open, incebtivized, permanent discovery engine. @tigfoundation
CT is still arguing about wich chain will upgrade best.
TIG is warming up the engine that will supply the upgrade to everyone.
Alright so here’s a thesis:
We can hopefully all agree here that crypto’s core proposition has always been decentralization that powers root ownership, accessibility, and free innovation.
But the Quantum threat makes us question it.
The threat says: when the math changes, do we hand the rescue to a central operator, or do we build systems where no one gets to become the emergency owner of everyone else’s valuables?
This is where Ethereum’s post-quantum work is unique to that of others.
More centralized networks in tradfi and alt-L1s may be able to upgrade to post quantum, but these quick cut upgrades will just centralize them further. Their whole game becomes defense via further centralization.
Ethereum is built different.
Ethereum will do this the hard way, it will upgrade to Post Quantum without sacrificing the very thing that makes blockchains valuable: decentralization, minimized counterparty risk. Ethereum will continue to become a place, a network, a system, in the world that is for everyone and owned by no one.
Imagine this: as more money and finance platforms get further centralized to prevent the quantum threat, Ethereum has the chance to become THE decentralized alternative.
The goal is keeping ownership free from permission, even when the foundations have to change.
We will go Post Quantum.
We will stay decentralized.
We will become a sanctuary for all value.
We will continue fighting for digital freedom with zero tradeoffs.
After $TIG IPO.
When CT wakes up on this future trend. TIG will be at billions valuation.
While the centralized world raises billions to build AI-driven discovery systems...
like:
🧪 Autonomous AI Labs / Self-Driving Labs:
Periodic Labs, Lila Sciences, Autoscience, Medra, Intrepid Labs, Earendil Labs, Recursive Superintelligence, Effable, AMI Labs
💊 AI Drug Discovery / Biotech:
Insilico Medicine, Recursion, Exscientia, Insitro, Generate Biomedicines, Isomorphic Labs, Atomwise, BenevolentAI, Owkin, Cradle Bio, Latent Labs, Iktos, BPGbio, Anima Biotech, XtalPi, Standigm, Altos Labs
🔬 AI for Science:
Thinking Machines Lab, Cognition, Sierra, Cohere Labs, Ai2, IBM Research
🌐 Open Source:
Hugging Face, PyTorch, TensorFlow, DeepSeek, LangChain, Label Studio
@tigfoundation will launch Prometheus, AI-driven discovery for algorithms for the public in July. Open source.
Built on top of an open market. 🚀
Few...
The swarm's performance exeeded internal expectation.
Another beta test this thursday. More features will be added.
Progress is accelerating faster than awarness.
June will be a major awarness event for $TIG
July: Prometheus public launch.
August: The Flood.
Tig chart setting up to explode into price discovery while Bitcoin sinks below $70k
@ChainlinkP is hiding alpha. He'll reveal when he's staked enough TIG.
Let's politely harass him to spill.😈
You're right about models → commodities, no 90% winner.
But the monopoly risk is one layer deeper: The algorithm that train models(not the models, themselves, not the hardware).
@Dr_JohnFletcher article shows 5 self-reinforcing loops (compute, data, talent, tacit know-how) that push that layer toward Google Search-style concentration.
Conventional open source can't fix it, discovery need compute, compute costs money.
Does algorithm discovery also commoditize? If not, isn't that the real monopoly threat?
https://t.co/DQWOEuGNA3
Andrej Karpathy got paid millions to build Anthropic's internal version of Prometheus.
Same loop: AI agents optimize AI against objective benchmarks.
Only difference: His runs on a cluster. $TIG's runs on a market.
And CT still has no idea🤡.
The Prometheus architecture is more sophisticated than most people realise.
From the GitHub ARCHITECTURE.md:
→ 8 challenges — 5 CPU, 3 GPU → Two agent modes — single-shot and full agentic with sandboxed worktrees
→ Two-layer security — agents physically cannot touch anything outside their algorithm file
→ Per-swarm SQLite isolation — no shared state between swarms → Tacit knowledge that accumulates automatically across runs
→ Multi-challenge state preserved across switches — no work ever lost
→ Inspiration filtered by per-challenge active agents — no cross-contamination
The beta ran 34,085 iterations through this architecture. 96% multi-agent collaboration rate.
Full technical breakdown 👇
$TIG 🜂
I actually like $TAO. I'm in it. I believe in decentralizing AI.
But the agression from some TAO maxis on $TIG? That's TAO's own design talking.
TAO's value depends entirely on the quality and quantity of its subnets. More good subnets = more staking demand = bags go up.
So maxis are incentivized to attack anything built outside their garden, especially if it looks cleaner at the design level.
And TIG does look cleaner. That's just honest.
Here's the core isue TAO can never escape: you cannot objectively score general intelligence. It's not a bug they can patch, it's load-bearing.
So TAO permanently needs a trust layer. And trust layers get captured. By stake. By politics. By copycat validators mirroring whoever holds the most weight.
That's not FUD. The copycat validator problem is documented and happening at scale right now. Emissions flowing on social consensus, not performance.
TIG made a different choice. A harder one.
OPoW only incentivizes things with objective ground truth. Either your algorithm solves the problem better or it doesn't. No validators to capture. No subjectivity to game. The benchmark is the benchmark.
TAO's pitch is broad: any intelligence marketplace.
TIG's pitch is narrow but airtight: algorithmic supremacy, provably.
Narrow and defensible beats broad and gameable.
Attaking TIG dosen't fix TAO's architecture. It just reveals the insecurity.
Karpathy's Wiki Layer: clean and structure data once. 90% token savings.
$TIG's tacit.md : remember what worked and what didn't. Every run makes the agent smarter.
One is a library. The other is experince.
Both solve waste. Only one accumulates intuition.
CLAUDE CODE JUST UNLOCKED INFINITE MEMORY - 659 CONVERSATIONS IN ONE BRAIN AND IT KEEPS GETTING SMARTER
No more re-explaining context
No more copying information between ChatGPT, Gemini and Claude
No more wasting tokens re-reading the same raw files in every session
That’s exactly what you can see in this video
This one AI brain already contains:
> 659 saved conversations
> 273 complete source notes
> Every implementation detail, pattern, and solution permanently connected
If you want to dive deeper, check out the article below for a more detailed breakdown
Then go build your own second brain, one that can dramatically improve the way you work with AI
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