Its been another fantastic week at green compute HQ , with myself and the team fully focused on compute expansion and deployment .
We have just come back from an amazing few days from one of the biggest farm show events were many people own large scare renewable infostructure - naturally preaching to them the good word of $TAO
More farmers = more green energy = more compute deployed .
Onward we go 🚀
🤖 AI’s next battle may be over who controls the compute.
Bittensor co-founder @const_reborn tells @2084Richardson at @ExploitSummit why open-source AI could threaten the biggest labs.
The interesting part starts when they notice. 👀
Introducing Zils, Subnet 127 on Bittensor.
We train custom System One models for your specific use case. Upload your examples, miners compete to train the best model, validators grade it, you get an API.
Sort, flag, score, act. Small models that are right for your data.
https://t.co/5ufRzx3CpW
Here’s the thing about spotting the horrendous, soulless AI-generated writing infecting every corner of the internet now: it’s not just about the words — it’s about the patterns.
And once you start noticing them, you can’t unsee them.
The unnecessary em dashes. The polished transitions. The examples given in groups of three.
The weird metaphors that kind of make sense but kind of don’t — like a parachute opening inside a submarine.
The load-bearing use of the term “load-bearing.”
The random one sentence paragraphs.
The way a bunch of bland gibberish is quietly reframed as a profound insight.
The on-going and un-necessary hyphenation of every-day words that really don’t need it.
The cliches.
Read that again.
Cliches.
Louder for people in the back.
Tons of cliches.
That’s not a typo.
Sit with that for a moment.
And the biggest red flag? Asking yourself a question and answering it.
Because honestly? No sentient human writes like this.
And truthfully? If you can’t identify these red flags, you might not actually be sentient yourself.
Because really? If this formatting doesn’t immediately strike you as awkward and artificial, it means you don’t read books.
Ever.
Seriously.
But here’s where it gets interesting:
It doesn’t.
The point has been made but I’ll keep going. That’s what AI writing is all about.
Let’s delve into real problem. It isn’t the technology. It’s the people using it because they’re too retarded to generate an original thought of their own.
That’s not thoughtfulness. It’s intellectual laziness wearing digital makeup.
It doesn’t make the internet more fun. It makes me want to throw my phone in the river and forsake all of humanity and live as a hermit in the woods for the rest of my life.
Seriously this shit fills me with despair. I’m not kidding.
And the distinction matters.
Especially when you’re saying the distinction matters without actually drawing a distinction.
But here’s what nobody tells you.
When you ask a machine to manufacture your personality, you’re not just automating your writing. You’re quietly announcing that you’re a boring, insipid dork with nothing interesting to say.
Let that sink in.
The uncomfortable truth?
AI didn’t turn these people into tedious midwits.
It quietly revealed what they already were.
And perhaps — just perhaps — that’s quietly the most important takeaway of all.
But what do you think? Let's unpack this together in the comments. 👇
AdTAO is live on ForeverMoney. SN21 Alpha can now be traded on Base.
If you already use Base, you can access SN21 through a compatible EVM wallet and trade the SN21/TAO pair on ForeverMoney.
The Base token is a bridged representation of AdTAO's Alpha on Bittensor. SN21 miners continue developing prediction models on $TAO Bittensor to help AdTAO assess Google Ads changes.
We're excited to introduce AdTAO to the Base community, with another way to discover and access the subnet we're building.
Explore the SN21 market through the link in our first reply.
In AdTAO, we trust.
There are two challenges here — getting AI to write like a human. And spotting it when it does.
Both are incentive problems. Bittensor loves incentive problems.
No that’s not it. AI writing is not good writing at all. Much less “too good.” It’s neat, yes. Perfectly spelled and punctuated. This writing itself is atrociously bad, though. Bland and dull and utterly devoid of style or personality. But it’s bad in a bizarre, uncanny way. Bad but perfectly coherent. Whereas bad human writing is generally bad because it’s not coherent. Maybe that’s the thing that makes AI slop so easy to spot. It is coherently shitty. A weird combination.
Komms has officially acquired SN27!
We are building the best decentralised workspace & community app and this is a huge step in achieving this.
We're sure you want to learn more about who we are so we invite you to our "Meet the team" X space later on this evening at 21:00 UTC (Link to space in the comments)
Come and say hi, ask questions, and hear more about Komms.
In the meantime you can check out who we are at: https://t.co/lHLvsn4GuU
See you there.
#Bittensor #Kaspa #Komms
Introducing DecisionModels @decisionmodels_
I've spent the last four weeks benchmarking decision models (I run JevBench).
Today I'm launching the place to actually use the best ones:
https://t.co/uLqryOaB5Y
➡️Top open models
➡️Up to 4x faster on our own REAX engine
➡️From $0.019 per 1M input tokens.
Expect more reveals soon, and read 👇
The Perturb Video Contest is live on Stitch3.
@Perturbaix finds weaknesses in AI models before they reach the real world.
Explain how it works in a video of 90 seconds or less.
7 TAO in total prizes:
1st: 4 TAO
2nd: 2 TAO
3rd: 1 TAO
Paid in SN26 alpha. Runs October 12 - 23.
Open to the top 350 Bittensor voices.
Umi (A subnet on $TAO) just solved a MAJOR problem companies are having right now...
Translating sign language into English
Naturally you can assume this'll be a hot commodity for some of the bigger tech companies to use (they don't offer it) & the more data they get from these wearable glasses, their new partners the better that AI will get
+ I imagine they'll introduce other languages as well, since sign language was the hard part
This is one of the obvious ways Bittensor can benefit a subnet, as miners are quite literally running models to make their sign language capabilities better right now
Huge announcement from @green_compute_:
Over $7m of new compute hardware deployed in their datacentres generating $300k of revenues per month 🤯
Great job Josh and team
JUST IN: $TAO subnet 38 @chronollm just shipped a time machine for language models
talk to an AI from the past and test its market predictions against what actually happened
Bittensor subnets are cooking