@mvcinvesting Maaan, because of you I have found $NBIS at around 40$.
You literally set me financially on good starting position.
I wish you only good for what comes next.
Thank you for your great service here.
To all Bittensor $TAO subnet owners. If I’m holding your subnet token and you want me to CONTINUE to hold it and/or buy more, here is my investment criteria.
You must satisfy ALL of the following for me to continue holding or buy more of your token:
1) You must remain consistently active on social media, especially X, but also telegram groups and/or discord.
This includes consistent updates to the community about current road map, milestones being hit (or missed, and why they were missed), projects the devs are working on, working products and services, revenue generated (or your path to generating revenue) how you are working with your miners and validators, metrics, generalized industry commentary and how your subnet augments or disrupts the industry it resides in, and more.
Staying consistently active on X is my biggest non-negotiable. If you go quiet, my $TAO will flow elsewhere.
2) You need to show some proof that devs are actually working on your products and services (ie GitHub repo, or by showcasing live (or in development) products or services via video, or podcasts, etc.
3) Produce/showcase a roadmap for the next 12 months minimum. I need to see your vision. When do you expect to achieve key milestones? When do you expect to have fully functional products or services? When do you anticipate having paying clients and revenue?
4) You must be participating in conviction. I need to see that you are here on Bittensor for the long haul, and that you take investor protections seriously.
5) Your owners must be Doxxed. I need to see who I am investing in. Who am I putting my hard-earned money behind?
This isn’t Solana and pump fun. Bittensor is a serious network for serious businesses and serious investors. Attract capital by fostering trust. Foster trust by showing us who you are, your background, your experience, and your professionalism.
That’s it. Those are my 5 criteria.
If you’re an investor in Bittensor subnets, share this post to get the message out to all subnets owners.
@KaspaGuru For the record, we have never and will never pay anyone to promote or shill us. All of our “marketing” is organic. We have never/will never pay an exchange or market maker.
For the second time, we brought our partners in the Bittensor community together at the @dcgco Summit to dive deep into Bittensor $TAO. A lot of momentum in the ecosystem and we’re excited for what’s ahead.
Fantastic to spend time with many of the leaders in the Bittensor $TAO community at Yuma's first ever summit. The vibes, enthusiasm and camaraderie reminded me of DCG's first Summit in 2015
https://t.co/ritf6lTYGK
Truly an inspirational group. Big things are happening
Other networks have "rug pulls" every day.
They ignore this problem.
TradFi startups solved this with vesting cliffs.
Introducing Bittensor "Conviction"
- locked stake so token holders can cryptographically verify an owner's long-term commitment.
Trust proven mathematically.
BitGo has partnered with @YumaGroup to deliver an institutional-grade solution for Bittensor Subnet Tokens.
Clients can stake and trade subnet tokens within a single platform, managing exposure to the Bittensor ecosystem within the security of a qualified custodian alongside a leader in non-custodial $TAO staking since 2024.
When Claude Opus solves a math problem and "thinks" for 30 seconds before answering, what are you paying for?
Reasoning tokens, billed at full output rates.
Opus 4.6 charges $25 per million output tokens. A serious reasoning task can burn 5,000 to 10,000 reasoning tokens before producing an answer. That works out to $0.13 to $0.25 per query.
GLM 5.1 TEE on Chutes runs $0.95 input, $3.15 output. The same query at the same depth of reasoning costs $0.016 to $0.032.
About 8x cheaper per reasoning query, with hardware-enforced privacy included.
GLM 5.1 scores 51 on the Artificial Analysis Intelligence Index, two points behind Claude Opus 4.6 and leading among open-weights reasoning models. 200K context, full chain-of-thought, JSON mode, structured outputs. It also holds the state-of-the-art on SWE-Bench Pro at 58.4, ahead of Opus 4.6, GPT-5.4, and Gemini 3.1 Pro.
If you're building anything that needs the model to think before answering (math tutoring, scientific analysis, deep code review, multi-step research agents), this is the one to benchmark against your current default.
What kind of reasoning workload are you running? Curious if Opus is overkill for it.
🔗 https://t.co/VGvNNWfI0k
It’s happening right now.
Const just registered a validator on SN3. Forked the Templar repo. Called back the miners. Tegridy is already running subtensors.
The subnet only needs stake and validators to run. The old owner controls hyperparameters but not the network itself.
Const’s words: “Forget the subnet owner key. All we need is stake to get the subnet going again.”
30 minutes. That’s all it took. Validator registered. Repo forked. Miners showing up. 100% emissions coming back.
Let’s train 1 TRILLION🔥
LOUDER FOR THE PEOPLE IN THE BACK 🗣️
@const_reborn telling it how it is.
Bittensor has laid the ground work for what will be the "Bitcoin of AI".
Soon to be Top 5... and its not 5.
Decentralized AI is here to stay. Powered by $TAO ⚡️
$2K → $12K in One Night.
I'm Quitting My Job.
Claude Found Arbitrage Wallets I Can't Beat, So I'm Copying Them Instead.
You're still placing manual trades. I built a Claude AI agent that monitors 1,000+ wallets, finds the best arbitrage bots, and copy trades them automatically.
I've made the exact step-by-step guide to build this wallet monitoring + copy trading system.
Free for 24 hours. To get it:
1. Comment "Claude"
2. Like and Retweet
3. Follow me @codewithimanshu (so i can DM you)
70% win rate. 7 wallets copied right now.
Bot never pauses. Never gambles. Just math.
I couldn't beat the arbitrage bots. So I stopped trying.
Asked Claude one prompt: "Analyze mispriced Polymarket markets, find arbitrage opportunities, and find wallets exploiting them."
Claude built a monitoring terminal. Tracked 500+ wallets. Analyzed their behavior, sizing, timing, and strategies.
Found 7 wallets worth copying. Connected them to a Telegram copy trading bot.
This isn't a script. It's an AI agent that improves with every wallet it finds.
- Fetches wallet behavior in real time
- Tracks how each wallet trades
- Detects arbitrage patterns and sizing
- Copies winning wallets automatically
$2K → $12K. One night. Zero manual trades.
You're trying to beat bots with your bare hands. That's not brave. That's stupid.
Find them. Study them. Copy them. Let their edge become your edge.
You Must Follow me @codewithimanshu, so i can send you DM.
interesting how folks short $TAO as soon as a subnet rugs
you guys do understand subnets are individual projects/companies right?
shorting TAO over it is like shorting ETH because a random dapp got hacked smh
Moonshot trained a model on 15 trillion tokens of mixed vision and text data. The result scores 96.1 on AIME 2025 and 76.8 on SWE-Bench Verified.
Model Spotlight: Kimi K2.5 by @kimi_moonshot
1T total parameters. 32B activated per token (MoE). 256K context. Vision baked into pretraining, so it reads documents, charts, code screenshots, and video without a separate adapter.
The benchmarks put it right next to GPT-5.2 and Claude 4.5 Opus on most tasks. On a few vision benchmarks (MathVista, OCRBench, InfoVQA), it outperforms both.
78.5 MMMU-Pro (multimodal reasoning)
84.2 MathVision
76.8 SWE-Bench Verified
85.0 LiveCodeBench v6
The other thing worth knowing: Agent Swarm. You give it a complex task, K2.5 breaks it into parallel sub-tasks, assigns domain-specific agents to each one, and coordinates output. BrowseComp jumps from 60.6 to 78.4 with this approach.
It can also look at a UI mockup and write the frontend code.
Running on Chutes with TEE. Your prompts and outputs stay protected from GPU operators during inference.
Try it here: https://t.co/K1Xg3zUpyM
Have you tried any of the K2 family? Curious what use cases people are running.
What happens to your API uptime when a data center goes down?
If you're on a centralized provider, you wait. If you're on Chutes, traffic routes to another miner and you don't notice.
We run on Bittensor's Subnet 64. GPU operators around the world register their hardware, and our validator scores them on speed and output quality. When you send a request, we route it to the best available miner. If that miner drops, the next one picks it up.
No single data center. No single point of failure. 100% uptime over the last 90 days.
That decentralized compute is also why we can price models like this:
MiniMax M2.5 (TEE): $0.12/$0.99 vs Sonnet 4.6: $3.00/$15.00
Kimi K2.5 (TEE): $0.38/$1.90 vs GPT-5: $1.25/$10.00
GLM 5 (TEE): $0.95/$3.15 vs GPT-5.4: $2.50/$15.00
100B+ tokens per day. Production scale, not a demo.
What would you build if your inference cost dropped massively overnight?
Chinese engineers wrote a Claude script that turned 1.18 into 3.3M on Polymarket
Nobody tells you about them and you still think this is a person who places bets manually.
Here I’ll disappoint you this is an automated script written by Chinese engineers.
They called it PHANTOM X
It is fully automated through Claude.
Result:
$1,18 → $3,300,000
37,063 trades.
Win rate 71%.
The biggest win: $180,000 on a single bet.
I’m copying their trades here because the PRIORITY mode allows reacting to each of their actions as fast as possible, and I haven’t found any bot that can keep up.
How it bots work:
The bot simultaneously tracks thousands of sports markets on Polymarket and Kalshi, finds discrepancies between the platforms, and enters positions faster than any human could physically manage.
Three strategies in one:
-Pairs Trading the bot sees that YES on the Rockets costs $0.62, while NO on the same match is $0.41.
The total = $1.03, not $1.00.
That’s a 3% risk-free profit.
The bot enters automatically within milliseconds.
-Sentiment AI scans Twitter/X and news in real time.
If a team’s coach suddenly gets injured and 50 accounts report it, the bot recalculates the probability within 2 seconds before the market factors it in.
-Calendar + Volatility 15–20 minutes before the game starts, volatility spikes.
The bot takes positions early and closes them after the first major price movement.
Why sports is perfect?
Sports O/U markets on Polymarket have clear paired contracts OVER and UNDER for a single game.
They should total $1.00, but due to different reaction speeds of traders, deviations constantly occur.
This is the most predictable type of arbitrage on the entire platform.
Sovereign2013 built $3.3M precisely on this.
Why a human wouldn’t do this?
A human physically cannot monitor 50+ markets simultaneously, react in milliseconds, stay awake 24/7, avoid emotional responses after a losing streak, and simultaneously calculate Z-scores over 60 bars of data.
The bot does all of this in parallel without breaks.
By the time a human opens a tab, the arbitrage window has already closed.
This is why, right now, you should start learning Claude and testing different methods.
Manual trading is dying.
The era of automation has arrived, and whoever masters it now will thank themselves in the future.
If you’re interested in writing your own bot and automating it on Polymarket:
1. Comment the word 'GUIDE'
2. Like and Retweet this post
3. Follow me @marryevan999 (so that I can message you)
Within 24 hours, I will send you a full manual on how to write your own bot that can earn $3,200+ per month.
One of my followers , after reading my article, wrote their own bot that is already showing results of $500 in 6 hours proof in the comments.