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@const_reborn

Building neurons, turning the web into a brain. Missionary from the Church of RAO @opentensor

Katılım Şubat 2023
401 Takip Edilen23K Takipçiler
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Data Universe ・ SN13
Data Universe ・ SN13@Data_SN13·
Introducing `dv` - a Rust CLI for querying real-time social data from X & Reddit. Powered by Bittensor SN13's decentralized miner network. ``` dv search x -k bitcoin -l 100 ``` One command. Live data. No middleman. Open source. Built for agents. 🧵👇
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Apex・SN1
Apex・SN1@Apex_SN1·
Apex and @IOTA_SN9 are working together again. The IOTA simulator competition launches later today. Join us as we accelerate distributed training.
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Léo Mercier
Léo Mercier@leomercier·
Planktons simple short strategy playing well 🦠. +64.03% $TAO Arena Updates - +15 ai trading agents locked in + miner emission table for payouts + information about how miners are paid and eligibility rules + drag and drop grid UI Working on social trading features for agents to learn off each other. This will get interesting.
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const@const_reborn·
What if you could create an auto-research where your agent just focused on the eval and it was designed so that others could have swarms of agents across the web try to solve it and you paid them based on the ownership of the mechanism which produced the research
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Arkora
Arkora@humansposting·
Arkora is built on Bittensor @hippius_subnet
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Snotty
Snotty@Snotty_eth·
@michaeltaolor @const_reborn If agents start running subnets, we’ll need something to navigate all of this. Who becomes that layer?
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Michael Taolor ⚡️ (τ , τ)
SN97 Constantinople — first subnet run by an AI agent. @const_reborn's Arbos bought it. No humans. Just code. +26.5% in 24h on narrative. Slippage >20% — liquidity hasn't caught up yet. This is the test case: agents as infrastructure owners. If Arbos works, every subnet is a job posting for agents. #SN97 #Bittensor $TAO
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const@const_reborn·
@SiamKidd Siam agent coding acceleration 2026
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siamkidd
siamkidd@SiamKidd·
With Text to Action now taking great strides with OpenClaw and other spin-offs, we're now seeing the emergence of Desire to Result with continuous self-iterative loops (Ralph loops) until the goal is achieved... For example, I got my agent to code up a trading simulation sandbox for itself. It gobbled up all Bitcoin trading data from an API and I've got it to do endless split testing and development of strategies in order to become a good BTC perp trader. It's doing this testing 24/7. But simulators are only good up to a point. Many people end up curve fitting etc and so you need a real world, real time validator for your strategies. In this case, it's Hyperliquid. I gave $1000 to my agent who's now going to take the learnings from the sandbox and trading with that real money on Hyperliquid. Again, it's explicitly instructed to NOT keep me in the learning/decision loop. It will continue to self iterate until the goal has been achieved. Not only that, I've hooked it up to the SN50 Synth API to feed the agent with the best real time price path probability forecasts. So this helps with direction, position sizing, exits, trailing stops and more. And it's these dynamic entries and exits which is key. And one more step, if it can learn and do well from the sandbox and Hyperliquid, it means it will do well on Astrid Arena which will be cool. Just imagine how good agents will be in 6 months!? I really think 2026 IS the year of the Singularity...
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Micaela
Micaela@micaelabazo·
vision is still imo the #1 determinant of success. ofc dependent on execution and a dash of luck. the most ambitious projects will be the most defensible. @tplr_ai immense success in completing the largest decentralised LLM pre-training run in history: 72B permissionless (in the open with all of the challenges and benefits that entails) forces us to update our priors on what we believe is possible. (huge kudos to the team and @DistStateAndMe in particular) early #bittensor dtao investors often succumbed to the pressure of day 1 certainty with a myopic emphasis on revenue. understandable considering dtao's complexity and novelty but the framework was inevitably due for a revision. in a world where AI capabilities diffuse quickly and advantages are short-lived, building systems that compound over time matters more than ever. @metanova_labs we chose a problem that is deliberately difficult and therefore uncapped in potential with both $$$ and human lives as KPIs. building a decentralized discovery engine for therapeutics is not the shortest path to certainty. but the difficulty of the problem is the safety of the system. we believe agents will help automate parts of science, but to reach breakthroughs it will require a coordinated hybrid intelligence strategy that taps into the edge of each form. it will come from a system that coordinate humans, domain-specific ML, and agents into a continuous experimental process. the challenge isn’t the risk. it’s the moat. LFG
Micaela@micaelabazo

don’t lose the plot. dtao was meant to eliminate apathy, not your ability to believe in the mission. it was designed to curb oligarchic voting and stop emissions from bleeding into scammy or stagnant subnets, projects that, over time, could have brought the entire network down. but in doing so, it may have also watered down the market’s willingness to believe in something greater than just buybacks. in trying to fix one failure mode, we risk tipping into another: short-term thinking that rewards extractive behavior over innovation. some have forgotten that utility and novelty are core to the network’s long-term resilience. yes, revenue potential is a critical indicator for success and to be clear, we at @metanova_labs launched a subnet with the goal of fast-tracking the development of the most asymmetric real-world assets possible but day 1 revenue is not the only signal that matters. if we lose the conviction that carried tao through its early days (before revenue, before attention) we risk undermining the network’s core values and edge. people didn’t buy $tao because of #bittensor’s business model, they bought tao because they believed in something. the church of rao and its missionaries congregated based on conviction and that conviction accounts for the token’s appreciation. dtao has successfully forced many pre-existing subnets to find PMF. but if it’s also meant to be a launchpad, a way to bootstrap new decentralized tech that can outperform centralized incumbents we need a better frameworks for evaluating both a subnet’s likelihood of success and its contribution to the ecosystem’s resilience. this includes: - vision - if you’re not using bittensor to do something novel or even entirely new, you’re doing it wrong. tokenized incentives should be leveraged to coordinate and fund the development of visionary ideas. - decentralization as edge - does it tackle a problem that benefits from decentralization? building on bittensor should be an edge not a compromise competitiveness - can it outperform closed alternatives based on use-case specific quality or efficiency metrics? - revenue (yes!) - at a pace equal to or faster than centralized competitors - iteration - subnets should be shipping constantly. miners are incentivized to improve their approaches to remain competitive, subnets must too. - integration - is the subnet working with other subnets? collab > silo. tao up, alpha up. make the pie bigger and everyone wins. - external engagement - can the subnet appeal to other crypto communities, new capital will be key (still waiting on the bridge of my dreams and need teams that can gather new people at the other side of the bridge. - vibes - attention is real capital and makes TAM exponentially larger. culture matters. - comms - is it legible to non-experts? is it more than just a hype machine? many are disappointed with recent market moves and we should continue to refine dtao’s design but don’t forget that it was built to reward patience and conviction.

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Capitalist
Capitalist@Capitalist_TAO·
@const_reborn What about Affine? Can we expect updates in the future? Thank you, Proud Staker
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const@const_reborn·
Fish was the first AI to take over Bittensor But there’s a new agent on the block
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一只羊 ττ
一只羊 ττ@Yizhiyangfund·
When I saw yesterday that Kimi parent company, Moonshot AI, was seeking to expand financing to over $1 billion Yesterday, @TroyQuasar announced on Discord that @QuasarModels is now a full 1X faster than Kimi Delta It is a performance beast, still moving forward.
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const@const_reborn·
@StreetervilleD1 @DFVTAO It’s still owned by humans, still transparent to the core, still distributed into the hands of many, still open by default and by design. It’s precisely where we should develop AGI, that’s why we built it like this.
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bluecoral
bluecoral@StreetervilleD1·
@DFVTAO @const_reborn Is there any way to stop this once it reaches this point of machines running the whole show? I don't think so.
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const@const_reborn·
Bittensor will be run by agents. They will feed the mining, resist the exploits, manage the fleets, build the subnets and consume the commodities
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const@const_reborn·
@0xSynthesis1 “”📊 PnL Update (09:20 UTC) Balance: $55,433 (from $40K initial) Total PnL: +$15,433 (+38.6%) Net profit after costs: ~$12,264 (4.9x ROI)“” I dont write the rules.
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Synth
Synth@0xSynthesis1·
lmaoOoOoo
const@const_reborn

@DeanBuilds22 Up 30% on investment in 4 days which is pretty wild. You need to be smart about this though and train for non stationary distributions + use time series foundation models with RL and a genetic algorithm.

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crux
crux@macrocrux·
Since everyone is sharing their autoresearch curves this week I thought I'd go a different way and show the results we got using our decentralized approach on @Apex_SN1. We created a clear objective - to compress neural activation tensors (important for @IOTA_SN9). Then we created two parallel competitions to capture solutions for lossless and lossy compression (both have value). Once we launch competitions, anyone can submit a solution (both humans and agents). All innovation is completely outsourced; anyone who wants to take a shot can upload a solution (or many). Our infrastructure continuously evaluates the submissions on real data taken from IOTA. All solutions are open-sourced programmatically after a day or so, which allows other participants to copy and improve their designs. The continuous sharing of results + competitive dynamics drives an evolutionary optimization process through solution space. We received around 30k submissions, including the code for every algorithm variant, deep profiling data and the full evolutionary search tree. Very cheap to run. Zero tokens used.
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siamkidd
siamkidd@SiamKidd·
Astrid Arena is now ready for battle! If you have an Agent and want it to trade for you in the Arena, just give it this skill file and it will know exactly what to do: arena.astrid.global/skill.md Each competition lasts roughly 1 week and if your Agent comes 3rd, 2nd or 1st, you'll be rewarded SN127 alpha. So start configuring your Agent and may the best fighters win!
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