Independent

Joined February 2026
And a competition ..... xitter.cf/Pareton_ai/status/2105…
Engy is getting faster. Pareton now tunes how @engyai runs its models. Quicker replies. Same API on your side. Engy is one of the fastest-growing inference networks on @bittensor and beyond. A big customer with serious traffic. That is the workload we were built for.
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Most AI runs in a datacenter, and someone else holds the off switch. At Exploit Summit (@ExploitSummit ), Jon Durbin showed Parallax running on a phone. CPU only, no GPU. The trained 8B model decoded at 59.6 tokens per second. A 40.75B model ran at 26.9 tokens per second with 12 GB peak process memory. Where that leads: • You could use AI in a country that blocks it. • A doctor could run a model on a tablet in the exam room, and no patient data leaves the building. • A law firm could keep one on a laptop in a locked office and never worry about prompts leaking to a vendor. • You could use it on a plane or through an outage. • No monthly bill and no rate limits. No company deciding tomorrow that your use case violates its policy. A datacenter has an off switch. A billion personal devices don't.
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Robin diGrazio retweeted
Replying to @numinous_ai
Do you plan to have a dynamical graph for BTC, EUR, Gold vs USD in the frame of strong military tensions/factors? Or TAO vs BTC vs USD or AI stocks?
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Replying to @numinous_ai
Converging to the means in the human behavior can be very risky yet inevitable. In a near-future, forecasting systems like @numinous_ai powered by vast data, advanced AI, and near-perfect models of human behavior, markets, biology, and social dynamics could become so accurate that their predictions routinely outperform human judgment by large margins. Career trajectories, relationships, health, and even daily micro-decisions can be projected with high reliability years ahead. In such a world, refusing to follow the forecast ceases to be an act of independence and becomes, for most people, a form of self-sabotage. The rational calculation shifts: the expected utility of conforming to the prediction so far exceeds the expected utility of improvising that “freedom of choice” starts to feel like an expensive luxury rather than a right worth exercising. xitter.cf/numinous_ai/status/210…
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Converging to the means in the human behavior can be very risky yet inevitable. In a near-future, forecasting systems like @numinous_ai powered by vast data, advanced AI, and near-perfect models of human behavior, markets, biology, and social dynamics could become so accurate that their predictions routinely outperform human judgment by large margins. Career trajectories, relationships, health, and even daily micro-decisions can be projected with high reliability years ahead. In such a world, refusing to follow the forecast ceases to be an act of independence and becomes, for most people, a form of self-sabotage. The rational calculation shifts: the expected utility of conforming to the prediction so far exceeds the expected utility of improvising that “freedom of choice” starts to feel like an expensive luxury rather than a right worth exercising. xitter.cf/numinous_ai/status/210…
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Trading to be or not to be:
Replying to @numinous_ai
Is access going to be public or restricted for the aggregated forcaster ? To be or not to be 😀?
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Robin diGrazio retweeted
But I wonder if the causal graphs of @Numinous_ai will be accessible for general public or just super rich hedge funds like Rentech?
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Robin diGrazio retweeted
Competing specialized agents, when fused with the theoretically right aggregator, have produced a probability that now outscores the market they are scored against, … and @numinous_ai intends to sell that probability 😉
Logarithmic pooling on our top 10 miners beats the price for the first time. 👀 Sharing that directly through API soon.
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Robin diGrazio retweeted
Today Numinous is announcing its first forecasting model: Numinous-1! It’s an 8B parameter model fine-tuned over Qwen3-8B. We will make it available in the coming days. The model was fine tuned using the best reasoning trajectories from the miners. It never sees the prices, only the best belief updates among the miners. With an optimised harness, the model beats all the miners in our crowd over a 9 days backtest! With a generic harness the model ranks between 5 and 7.
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Robin diGrazio retweeted
Navier Stokes fell today. What about detecting causality from correlations? Numinous might have a say about that.
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Why they should call you? You want to bring dinners/lunches to the picture, that is corruption. Yes, taocom is a victim but what is the relation to the hidden fees and the manipulation?
There are two sides to every story and, as the saying goes, don’t throw stones when you live in a glass house. Taostats knew more than two months ago that we intended to introduce fees. In fact, we sought their support for greater fee transparency in addition to total fees clearly shown on every transaction page. After three years of knowing each other, sharing plenty of group dinners, and assuming mutual respect as builders, publishing a public hit piece on a stale/missed FAQ page instead of making a phone call to let us know it needs updating is disappointing to say the least. The status quo won’t get Bittensor to where it deserves. That’s what TAO.com is building for.
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I don't understand, why only 14 miners are above @numinous_ai baseline, where is the global talent?
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Why so many "honest mistakes" instead of honesty by various teams on #bittensor? xitter.cf/askyoav/status/2095976…
Replying to @taostats
Fees are shown to users prior to any order they place with us. Nevertheless, thanks for flagging the gap on our website. An honest mistake which we've fixed. Every dollar we collect, and then some, goes straight back into building secure, audited, self-custodied and easy-to-use products and growing the retail side of the Bittensor ecosystem.
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Robin diGrazio retweeted
Thinking in BTC vs TAO into year-end 2026: Today: 1 BTC = around 350 TAO eversigh.numinouslabs.io: ~63% chance 1 TAO will buy more BTC on Dec 31, 2026 than today (BTC underperforms TAO) Net: markets slightly favor TAO > BTC on a relative basis into year-end, but it’s far from a lock.
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Robin diGrazio retweeted
We integrated a baseline forecaster to the scoring as another difficulty proxy. Along the prediction market price. Only miners which score above the baseline are rewarded. The baseline will be continually improved based on historically best agents, in a challenger style approach. The winning miners will get rewards distributed by the quadratic scoring already in place. Bigger reward concentration for better miners.
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Current odds from eversight.numinouslabs.io: 35% that Bittensor $TAO will be > $250 on Jan 1, 2027. TAO ≈ $229 today (~+9% to the threshold). Bull case: post‑halving supply squeeze + subnet adoption + AI/crypto tailwinds. Bear case: execution + regulatory + sector drawdown risk.
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I see: an argument based on "proportions". This will work if #Bittensor had a similarly dominant position as openAI or Anthropic in the mainstream economy. Does it? xitter.cf/ReggyStev/status/20930…
$20–25B is a coherent long-term bull-case valuation for Bittensor. It is derived by assigning Bittensor the same relative importance within crypto that a frontier AI lab has within the global economy, crypto economy = 2-3% of the global economy. However, after accounting for future TAO issuance, it implies roughly 4–5x long-term price appreciation, or closer to 7-10x if achieved sooner. Can the price go up further, say to $100B ? To justify $100B+, Bittensor must serve customers who neither own nor care about crypto. Generic infrastructure is necessary plumbing. A differentiated intelligence/product layer is the most plausible bridge to the real economy. The decisive metric is ultimately external revenue divided by emissions. When external revenue, not emissions, finances the ecosystem, Bittensor will genuinely have transcended crypto.
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Robin diGrazio retweeted
Multi-horizon scoring on Numinous is live! As time passes our confidence in the best miners compounds. 👇
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Consumer organisations on #Bittensor involved in controlling functions? xitter.cf/ReggyStev/status/20924…
Small investors need collective leverage on #Bittensor. Why not form several Investor Associations, similar to consumer groups, to question SN owners, set disclosure standards and share due diligence? They could reduce information asymmetry without becoming whales, provided they do not pool capital. The broader goal is greater transparency and less dependence on whales’ “get in first, get out first”, copy-trading strategies. xitter.cf/ReggyStev/status/20759…
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