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TIG's the quiet DeSci play in AI optimisable proof of work (OPoW) that turns algorithms into liquid on-chain assets. rewards go to compute providers, algorithm creators, and challenge posters just launched Challenge Owners + $1M grant program last month. token holder count at 23k you're right about the social silence but AI tokens are rallying hard right now. NEAR up 50% in 7 days, Base doing massive DEX volume, agent economy routing $5M+ TIG's migrating to its own blockchain from Base, that's the real setup here

Meet the team @tigfoundation $TIG (Wait till you meet the Challenge Operators [Part 2])

$TIG

$TIG

Mark Zuckerberg of @Meta is the latest Fortune 500 CEO to begin parroting what @Dr_JohnFletcher has been saying for years: tacit knowledge is the key data set for unlocking proprietary advantages in AI. This further confirms that @tigfoundation is on the right path with Prometheus given it is tailor-made for private, tacit knowledge uptake. $TIG and Co. massively ahead of the curve as per usual.

We’ve long forecasted that AI will become an essential component of how scientists and mathematicians do research. With Prometheus’ release just over the horizon, this hypothesis is now an imminent reality. Today at 5PM BST, join @Dr_JohnFletcher and @0x_Asuka as they discuss how Prometheus is poised to reshape entire industries and even birth new ones. See you there!

To see this in action, take a look at a top performing round 17 submission that actively monitored downstream queue depth and rerouted around congested miners in real time. apex.macrocosmos.ai/competitions/6…

@FronzMoney Not yet, gotta wait for 100$ + 🫡

@_Myxon Depending on when… you can pay that debt off 100% now $TIG 💪

I went into debt buying $TIG. Worked out good so far.

A couple of points on the recent OpenAI math result and why TIG is built for exactly this. First of all, this is a genuinely impressive result. It's a longstanding famous problem and many mathematicians are impressed with it. Where TIG comes in is the difference in how its algorithm challenges are verified vs how proofs like the one from OpenAI are verified. The AI did the proof with over 125 pages in its chain of thought. BUT It took nine mathematicians multiple weeks to verify it actually worked. The raw output required polishing (missing definitions, scrambled logic) and ultimately needed a human-edited, reorganised, clearer version as the final proof. So the AI produced something but humans had to do all the heavy lifting to figure out if it was real. That is the whole problem with AI doing maths. Generating gets faster, verifying stays slow and expensive. One of the nine mathematicians flagged this directly, worried that even experts will struggle to verify future proofs. TIG sidesteps this entirely. The problems on TIG are asymmetric. Hard to solve, trivial to verify. If an algorithm is better (eg runs quicker), it does not matter at all what the contents of the algorithm are. You run it. It either works or it doesn’t. If it works, you can tell immediately if it was better. No expertise needed. This is what the miners (benchmarkers) in the TIG network do. When an algorithm is submitted, benchmarkers run and then adopt the best one. So with the increase in AI x Maths, TIG works not only on challenges of economic importance, but on the exact shape of problem where AI-generated work can actually be trusted at scale.

“Our compute nodes don’t run a full copy of the models we train on IOTA. They actually run a small sliver of the model. This means you can train really large frontier sized models using very small building blocks”. CTO @macrocrux unpacks how @IOTA_SN9’s model parallel architecture allows us to train at scale by splitting our models across multiple machines, and then sewing them together. This is core to SN9’s architecture. See the full @EyeOn_AI podcast below.

@AlanFletch22164 @tigfoundation @Dr_JohnFletcher Indeed. With @tigfoundation, we have some industry titans as well. Phil David is a big reason why ARM Holdings is the most successful licensing company in history and $TIG has been his main focus for years.

Most people think $TIG is just an algorithm marketplace. But the team just quietly shared where this is going. And it's much bigger than anyone is talking about. So, I called up my mentor in New York and spoke about this with him. The following thread is my personal interpretation and I use Claude Ai to figure some examples, because it might be then easier to understand. Disclaimer: If there is something wrong, please correct me. I come with good intentions and I am just human too, if I mis-understand things, help me by correcting me. Thank you.

Every closed model gets justified on safety. The actual reason is usually that the company wants to keep its lead. John's test for any closed-model claim: prove it beyond reasonable doubt in a FISA-style closed hearing that the model causes more harm than good, and that the harm outweighs the centralization risk of keeping it closed. No closed model would pass. None of them are currently asked to. John: "Safety is always the excuse used when the real agenda is something else."

This time we will definitely experience a new ath! And certainly none of the TIG holders are aiming for single-digit prices! $TIG

Competition in AI is critical; the most important asset of our generation in our interview with @Dr_JohnFletcher of $TIG, he shares his perspective of lessons from Linux and the market driven mechanism they are employing for algorithms More participants, more solutions will enable a battle field of ideas, ensuring that power is not concentrated within the major AI Labs Follow @supercyclepod for more content on the opensource AI movement

@alexandrostsach @Dr_JohnFletcher the maths do not lie

Crypto’s original fight was against concentrated power

$TIG is owning the real goldmine in AI: the algorithms. 💰🔑 🧮 • Top researchers earn $TIG by building powerful breakthrough algorithms. • Companies pay to license them. Every cash payment buys $TIG on the open market. • This creates a flywheel that boosts rewards and attracts even more elite talent. • AI tools are now accelerating new algorithm discoveries at record speed. Algorithms are AI’s biggest untapped opportunity. $TIG is the purest way to own them. @tigfoundation $TIG