Be ashamed to die, until you have won some victory for humanity
Joined August 2023
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I would like to officially share that QueryAgent is moving to the next round of the subnet Ideathon.
We give thanks to God.
Now it is no longer just an idea, we get to build something special and share it with the Bittensor community.
What we’re building is a platform for automated and verified on-chain analytics.
1/ We’re bringing deAI to on-chain analytics, enabling users to ask questions in plain English and get back SQL + result + snapshot.
Yes, you no longer need to understand SQL to build dashboards. Think of it as Claude for analytics, but not just an assistant.
2/ Every response is reproducible because it comes with the exact query and dataset snapshot.
3/ You can schedule recurring questions for daily or weekly reports.
4/ You get instant charts, tables, and shareable reports generated from verified results.
And this is just a glimpse of what we’re building. There is still so much to do and a lot of work ahead.
The team includes @danielderedev, @_KaWisLeo, and @KarisOkey.
If you believe you can contribute to the success of this product and you share the same vision, please reach out to me.
We need your support now more than ever.
Bittensor Subnet Ideathon — Round I Results 🏆
After reviewing an incredible set of submissions, we’re excited to announce the teams moving forward to Round II (Testnet Phase). Both our Top 7 and Honorable Mention teams will advance to the next round.
Top 7 Teams (Ranked Alphabetically):
• C-SWON — Aditya Singh
• ChronoSeek — Connor Daly
• Defektr — Hiw3
• Mentiss_AI — Jeremy Wang
• OpenMind — Bello Iteoluwakisi
• Proven — Christopher H.G
• vividverse — @vividverseai
Honorable Mentions:
• BitDefense — A.G.
• DaVinci — Chris Romano
• Keyword Intelligence Subnet (KIS) — Ozan Andaç
• Moirai Subnet — @ai_moir
• Probity — Dicky Bayu Sadewo
• Query Agent — Daniel Derefaka
• sotarad-ai — Wade
• Talos Protocol — Christopher H.G
• TensorClock — Valeriy Lihachev
• Titan — JKohav
With over 150+ projects, the competition was fierce — and these teams stood out for their strong mechanism design and promising subnet ideas on @opentensor 👏
Angry Davee retweeted
A recent @Cointelegraph article explored how AI is cutting the time and cost of building playable games.
The BGA found that 32.8% of industry professionals were already using or experimenting with AI for game design and content creation in 2025.
Our founder Ben James was also quoted in the piece, highlighting that AI is making games easier to create, but simply being able to build one will no longer be enough.
The games that stand out will be the ones with original ideas, aesthetics, gameplay and experiences.
That is exactly what 404 is enabling, making it possible to turn a single prompt into a fully playable 3D web game.
Anyone can build a playable web game with 404.
Angry Davee retweeted
Insurance claims run on photos. So what happens when the photo is lying?
I built my #PerturbVideo submission around that question, using Angle 3: The claim that never happened
A real example was reported by The Guardian in May 2024. A van photo was taken from a tradesman's social media, edited to show a cracked bumper, and sent to UK insurer LV= with a fake invoice for more than £1,000. LV= had concerns and passed it to its fraud team. Allianz UK said claims involving app-edited images, videos and documents rose 300% between 2021-22 and 2022-23
My video then plays out a clearly labeled, made-up scenario where an automated claims model approves a doctored photo. A few tuned pixels that a person would never notice can leave a model wrong and still confident
The cost doesn't just vanish. Insurers cover the payout, and honest policyholders feel it in their premiums. The Coalition Against Insurance Fraud estimates US insurance fraud at $308.6 billion a year in its 2022 study, which is an industry figure and not something Perturb measured
Perturb @perturbaix flips the usual order and breaks the model first, before a fraudster gets the chance. On Bittensor Subnet 26, miners search for the smallest change that makes a model's answer flip. Validators confirm the flip is real and the change stays invisible, copied work gets no reward, and whoever finds the best attacks earns the most $TAO
For the team behind the model, that testing turns into a robustness score, a vulnerability heatmap, verified attack data to retrain on and an on-chain certificate of testing. Details live at perturbai.io
As of now, image-model testing is live and the network has been running since May 2026. Text, LLM and multimodal attacks are still on the roadmap, and November presales are a target rather than a done deal
Angry Davee retweeted
The future of AI security and adversarial testing is on Bittensor | $TAO
@perturbaix SN26 turns AI security into an open competition.
Miners constantly try to break models with adversarial inputs, while validators verify which attacks actually work.
There’s also a second track where miners fine-tune stronger models and compete on robustness.
So the subnet is not just finding weaknesses, it’s also helping build stronger defenses at the same time.
Check it out at perturbai.io
The future of AI security and adversarial testing is on Bittensor | $TAO
@perturbaix SN26 turns AI security into an open competition.
Miners constantly try to break models with adversarial inputs, while validators verify which attacks actually work.
There’s also a second track where miners fine-tune stronger models and compete on robustness.
So the subnet is not just finding weaknesses, it’s also helping build stronger defenses at the same time.
Check it out at perturbai.io
Angry Davee retweeted
I switched from the Bybit card to the @MEXC crypto card, and I decided to put it to the test with some grocery shopping.
What I discovered might make you reconsider which crypto card you use.
Big thanks to @cryptocardsone for putting me on!
#OneCryptoCardChallenge
@VinnieH83
Angry Davee retweeted
I've been off the grid for about 3 weeks now, no Twitter, no Discord, nothing.
I had someone handling my account and making posts for @Bitcast_network in the meantime.
But I'm back now and will be replying to all messages immediately.
Most importantly, can anyone give me a brief rundown of what I've missed on Bittensor over the last 3 weeks?
Angry Davee retweeted
anyone can build a website. getting people to find it is a different story.
i’ve been learning that knowing your traffic isn’t enough. an audit can give you a hundred things to fix, but it won’t always tell you what’s actually worth spending your time on.
that’s why i’m building Trafficmend.
it brings your traffic analytics, Google Search data and a crawl of 500+ pages into one place, then ranks the fixes based on the extra clicks they could bring you.
you can also see traffic coming from ChatGPT and other AI assistants, without cookies. Google connections are read-only.
the goal isn’t to promise overnight growth. it’s to help you stop guessing what to work on next.
the waitlist is open: trafficmend.fun
Angry Davee retweeted
We just killed cold outreach.
Introducing Leadpoet: the AI sales agent that finds buyers who need you now, writes personalized outreach, and follows up on LinkedIn and email.
Used by Dropbox, OnePatch (YC26), Muttdata.
Comment “Poet” for 100 free lead credits to find qualified buyers.
I've been off the grid for about 3 weeks now, no Twitter, no Discord, nothing.
I had someone handling my account and making posts for @Bitcast_network in the meantime.
But I'm back now and will be replying to all messages immediately.
Most importantly, can anyone give me a brief rundown of what I've missed on Bittensor over the last 3 weeks?
Angry Davee retweeted
a little look at what life in port harcourt looks like in PH Lifestyle 🌴
work, hustle, enjoy yourself, repeat.
Angry Davee retweeted
The wait is over. The $GENOME to $NIOME migration goes live on October 28.
The first batch will move 5% of GENOME’s snapshot market capitalisation into NIOME on Subnet 55, marking the start of a carefully phased migration that will continue in batches until completion.
Safety is built into the swap process. Your GENOME is held in escrow while your NIOME is delivered and verified, and the original GENOME is burned only after successful verification. If anything fails, your GENOME is refunded, so the swap either completes successfully or your tokens are returned.
Starting with 5% is deliberate, allowing us to manage the migration in smaller batches with consideration for both migrating holders and existing NIOME holders.
When the migration opens on October 28, we’ll share the swap portal link so eligible holders can get started.
Mark your calendar. The migration is happening.
Angry Davee retweeted
When Aldo de Pape sat down with @markjeffrey, he mentioned a new challenge going live the week after.
That challenge is now here: our new drug-response challenge, pharmacogenomics, the science of how your genes decide the way you respond to medication.
So it's a good moment to go back to what he explains in this cut: how NIOME actually works.
Behind the subnet is genomes.io, a company building since 2018 on one idea: your genome belongs to you.
The part most people miss is how a pharma company can study the data without ever seeing it. A query goes in, the answer comes back, and the genome itself never leaves its encrypted environment. That is the consent model underneath everything NIOME does.
On top of that infrastructure sits the subnet, working through a roadmap of 24 scientific challenges planned out to 2027. The one he hinted at is now one of them.
Six minutes on how the whole thing fits together.
Angry Davee retweeted
AlphaRidge puts research, screening, and automation in one place instead of five tabs and three subscriptions.
A trader finds a setup on the screener, turns it into a rule, and the rule keeps running and alerting even with the browser closed.
@alpharidge_ai maps a few ways the workflow actually closes:
> Screening on news: Sort the whole market by 7-day sentiment, event clusters, and impact scores instead of just price and volume.
> From idea to rule: Paste a TradingView Pine script into RidgeScript, test it, then arm alerts to Discord, Telegram, or email.
> AI that shows its work: The analyst writes screens and marks up charts, then surfaces the exact platform data it used so you can check it.
The neat part is the news layer. Miners on SN45 turn hundreds of thousands of articles a day into screenable sentiment and events, so the screener can look at what is being said, not just what already happened.
Paper trading is free today. Live brokerage execution is still rolling out. The AI cites its sources, but you still have to confirm before anything is placed.
One feature I like on @alpharidge_ai is the Supply & Cap view.
It puts market cap next to FDV, circulating supply next to max supply, and shows all-time highs and lows in the same place.
That makes it much easier to spot things like unlock overhang and compare token supply structure without jumping across different tools.
Simple, but very useful for market research.
@alpharidge_ai feels like a trading workspace built for people who want market data and AI in the same place.
You get charts, screeners, watchlists, alerts and research tools, with AI automation layered on top.
AlphaRidge can also connect to tools like Claude, ChatGPT and Cursor, so your AI can actually work with the market data you’re looking at.
Bittensor is agentic
Another thing I like about Ditto V2 from @heydittoai is that the product growth now connects directly to the token model.
At Exploit Summit, Peyton announced that 50% of Ditto profits will be used to buy back the Ditto alpha token, then burn it.
So as V2 brings in more users, seats, business builds and partner deals, the buyback pool can grow with it.
Build, sell, buy back, burn, repeat.
Ditto V2 is live, and @heydittoai is pushing the frontier for shared AI memory.
You can connect Ditto to over 1,400 apps, and every app you add contributes to the same memory.
That memory can then follow you across tools like Claude, ChatGPT, Cursor and Codex, so your AI doesn’t have to start from zero every time.
I'm gonna enjoy this V2.
One memory layer across the tools you already use.
Angry Davee retweeted
I saw that @heydittoai walked through Ditto v2 at Exploit Summit, including the bit where an agent switches platforms and keeps the context.
Their own write-up uses a case that is basically one sentence: point the new agent at the old one and tell it to mind meld. No rebuild.
To give you some more context on this, a normal chat remembers you only inside that app. Claude does not know what you told Cursor, and a new agent starts from zero.
But if the spec changed in Telegram, or you moved from one coding agent to another, Ditto v2 keeps one memory under the tools and waits for a yes before it sends or edits anything risky.
So the flow would look something like this:
▸ You say it once, in Claude, Cursor, Codex or Grok, and the others can already use it.
▸ Telegram and Slack sit next to the docs and the code, so the agent can search the decision, not just the repo.
▸ A workflow or browser agent runs the job, and the step that could do damage waits for your approval.
Depending on the tool, you stay in that chat or leave with the memory exported.
This ties back to what I wrote before: the models got good at answering, but you are still the switchboard between them.
That’s the part Ditto v2 is building for, even when the handoff is a single sentence.
What other agent handoffs should I look into?
Ditto V2 is live, and @heydittoai is pushing the frontier for shared AI memory.
You can connect Ditto to over 1,400 apps, and every app you add contributes to the same memory.
That memory can then follow you across tools like Claude, ChatGPT, Cursor and Codex, so your AI doesn’t have to start from zero every time.
I'm gonna enjoy this V2.
One memory layer across the tools you already use.
Angry Davee retweeted
SayGM (SN28) might be the best AI altcoin that noone is talking about 💎
This $TAO subnet has rapidly become a blue chip in the Bittensor ecoystem
Why?
First of all, their new desktop app allows anyone to access Claude, ChatGPT, Gemini, and Llama for up to 70% cheaper and privately
Currently at $5M ARR and growing 🤑
Secondly, their new growth marketing affiliate program "Proof of Customer affiliate pool" is turning heads:
- @say_gm_ pays people who refer new developers that actually spend money on its AI gateway
- You can earn up to $1 worth of SayGM Subnet 28 alpha for every $1 your referrals spend during their first 30 days
Example: you refer a developer who spends $1,000 -> you could earn up to $1,000 worth of SN28 alpha
- The rewards do not come from SayGM's normal business revenue or marketing budget. They come from a pool funded by Subnet 28 emissions
So now they have an amazing product and an effective growth strategy
Sky is the limit here 🚀
What I like about SayGTM from @say_gm_ is how the Proof of Customer model functions around real paying users.
A share of SN28 emissions goes into the affiliate pool, and your reward depends on how much actual revenue your referrals bring in.
Bring 10% of the referred revenue in a round, and you earn 10% of the allocated pool.
That’s a pretty smart way for SayGM to use subnet emissions to drive real customer growth.
