Another major milestone for Beam SN105.
We've successfully completed our first decentralized subnet-to-subnet data transfer:
Cloudflare R2 → Beam → Hippius
107GB transferred in ~6 minutes.
For comparison, 107GB R2 → R2 currently averages around 30 seconds. There's still significant optimization ahead, and we'll continue working closely with the Hippius team to improve performance.
This integration is much bigger than a benchmark. It's another building block in Beam's long-term vision to become the programmable bandwidth layer for Bittensor, connecting subnets, storage providers, AI workloads, and enterprises through a decentralized data network.
More to come. ⚡️
#Bittensor #AI #Infrastructure #DePIN @hippius_subnet https://t.co/AWfcsVzwXu SN105
I recommend that my friends buy one $Tao for two reasons: 1. the extremely tiny chance it goes on a Bitcoin run, and 2. more importantly, so you vote on distributed, uncensored, sovereign AI while “betting to learn”
Worst case, it's a $200 lottery ticket to what I believe will be one of the most chaotic and important technology shows of the next five years.
I'm long. Get educated. Have fun. Don't buy more than one. Don't blame me if you lose it all!
Bittensor $TAO staking is now live for all MEXC users.
We've partnered with @MEXC to expand access to the Bittensor ecosystem. MEXC's 40 million users across 170+ countries can now access TAO staking through the exchange, powered by Yuma's Bittensor-native validator infrastructure.
MEXC brings global distribution and reach; Yuma brings deep Bittensor expertise and infrastructure.
As one of the largest validators in the ecosystem, we're proud to help create another pathway for users around the world to participate in Bittensor.
"Oh my God, wait wait, this feels like a really big deal."
That's Mark, reacting to what we just found in OpenClaw... hundreds of vulnerabilities after just a few hours of searching.
"It's a little bit scary in some ways. Anything we point the system at, we're able to find at least one high vulnerability, usually one critical or more and multiple highs." — John Yu, Bitsec founder/CEO
@bitsecai $TAO
need gpus such as b200s or b300s but all other providers are either sold out or require a long commitment?
When renting with lium:
- no contracts
- no commitment
- all nodes rentable in seconds
- large availability of 10+ GPU types
- global network of datacenters
- custom deployments for any workload
'For 400 years Westerners... killed us in every possible way' — Ibrahim Traore, Interim President of Burkina Faso
'They TRAUMATIZED us', but 'we LOVE them more than we love ourselves...
That's the Stockholm syndrome'
Getting a line of credit costs more than the rate.
$200,000 to set up, $30,000 in fees, all before paying 8%.
Zipcode Finance is 6.2%, that's it.
Bringing efficient, fixed-rate capital for lenders in the USA 👇
🚨 This Israeli Rabbi just admitted something insane:
“For Israel to have nuclear weapons, we had to sell stolen black babies to families in the US, where they did medical experiments on them. Now Israel has enough nuclear power to wipe out the entire world in a minute.”
This is the Yemenite Children Affair (1950s) : Thousands of babies from poor Yemeni Jewish families “disappeared” right after birth in Israeli transit camps and hospitals.
Parents were told their newborns had “suddenly died.”
Many were reportedly kidnapped and either:
1. Sold for adoption to childless Ashkenazi families (in Israel and abroad), or
2. Used in medical experiments.
Over 1,000 cases are officially documented.
Some estimates go up to 4,500.
In 2016, Netanyahu publicly acknowledged the state took “hundreds” of children without consent.
The video below is the Rabbi himself bragging about it.
This is one of the darkest and least-talked-about chapters of early Israeli history.
How is this not discussed everywhere?
Do people not understand whats happening..
The most powerful models are slowly being kept behind closed doors
Its fucked up that the Government is only giving Anthropic and OpenAI access to
"trusted partners" only
Everyone else gets whatever watered down crap is allowed to trickle down
This is how the divide in our society gets worse..
The rich and powerful will have access to all the latest intelligence..
The latest algorithms..
The best tools..
One of the most powerful innovations in human history
We all get given whats left over..
Plus who the hell are these "Trusted partners"?
Are they morally good companies? Why do they get access? Is it imperative they have access.. Or did they just fill the pockets of their other rich and powerful friends
This is exactly why we need open, permissionless alternatives..
Open intelligence.. open algorithms.. open incentive systems that anyone can participate in
No matter where you are or who you are.. You have access
If we move into a world where intelligence becomes permissioned..
The whole world becomes even more unequal and fucked up than it already is
The only way to fight back..
Is to build systems they can’t simply switch off or restrict
$TAO $TIG
This is the moment Chinese AI beat American AI.
One of the largest public crypto companies in the world just DUMPED OpenAI and Anthropic.
Coinbase switched to open-weight Chinese models from Zhipu and DeepSeek, and shaved nearly 50% off the company's internal AI spending.
The numbers are absolutely ridiculous:
Running the same enterprise workload through Anthropic's Claude costs $4,811. Running it through Zhipu's GLM 5.2 costs $544. That's a 9x price difference for equivalent output.
OpenAI's GPT-5.5 sits in the middle at $3,357. DeepSeek's V4 lands at $1,071. Moonshot's Kimi at $948.
On the actual benchmarks: Zhipu's GLM 5.2 scored 62.1 on SWE-bench Pro, the gold standard for coding. OpenAI's GPT-5.5 scored 58.6.
One AI researcher called GLM 5.2 "at least as good as Opus 4.8 and GPT 5.5." Another called it "the first open model that can really compete with closed-source systems."
The Chinese models are not just cheaper but they are now also beating American models on the benchmarks American companies pay $4,811 per workload for.
Coinbase did the math first and reacted - more companies will certainly follow.
Now watch what happens to the IPO timeline:
Anthropic confidentially filed for an IPO targeting October at a $965 billion valuation. OpenAI followed days later with its own confidential filing.
Both companies built their financial models on the assumption that they could keep charging enterprise prices that are 9 to 33x what Chinese competitors charge for the same task.
Brian Armstrong publicly proved customers WILL leave.
45% of companies are now spending over $100,000 per month on AI, up from 20% last year. Every one of those customers is one quarterly budget review away from dumping American AI.
OpenAI has reportedly already started preparing major token price cuts.
Anthropic is expected to follow.
And here's the thing...
The export controls were supposed to CRUSH Chinese AI.
The US government banned American AI chips, restricted model weights, blacklisted Alibaba and Baidu as Chinese military companies, and just banned Anthropic's flagship model from every foreign national on the planet. The entire premise of the American AI valuation bubble is that Washington can keep China two generations behind.
But Chinese labs responded by building cheaper, more efficient models on inferior hardware and pricing them at one ninth the cost of the American alternative.
And now American companies are voting with their checkbooks.
The dominant American labs are valued at nearly $2 trillion combined on the assumption that their pricing power is durable. Coinbase proved it is not, and every customer doing a year-end budget review will be looking at the same math.
For investors, the question here is what happens to the Anthropic IPO at $965 billion when the company is being forced to cut prices to defend share against open-weight Chinese models that score higher on the benchmarks.
For everyone else, the bigger question is what happens when Washington spent four years and billions of dollars trying to contain Chinese AI, and the only thing that actually shifted in the end was American customers.