TensorFold 1.2.6 is out. 🚀
The big one here is the prompt cache under multi-agent load.
In the 16-agent Qwen3.8-27B + DFlash2 test, median follow-up time to first token dropped:
• M3 Ultra: 546s → 15.9s
• GB10: 105s → 25.8s
Each agent started with a ~17k-token prompt. Same replies throughout that test.
Also in this release:
• Flash Next cold prompts finish 29 to 41% sooner on HIP, measured on the Radeon 8060S.
• GLM-5.3-Flash single-stream code decoding is 32% faster on two GB10s at TP=2.
• Opt-in DSpine-b16 drafting from Tencent for Qwen3.8-27B on CUDA.
• An image-generation API for image-capable engines, local Unix sockets and tool-call fixes.
One upgrade note: kept prompt states need a fresh prefill after updating.
Massive thanks to everyone contributing code, testing on their hardware and reporting the things that need fixing. I really appreciate the time you all put into this.
@andersjw_ @Bizuayeu @defilan @devopsfortunato @unigilby @jvr0x @teleogen
And on GitHub: abm9111, AbrahamCete, akol1, BobClawblaw, chadhurley25075-png, davidtai, ElderOrb, jschmied, kotevcode, Mirrdhyn, mrv777, ppardus, robertung88 and volfco.
@petruspennanen @volatilemarkts @plotarmordev @MiaAI_lab
tensorfold.dev
either they are too smart, and steal our jobs, or they are too dumb, and we need to take care of them
- world wide immigration in a nutshell
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@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
I think we're on the brink of a revolution across every science, not just coding, physics and math.
And at this point we should LiDAR the entire planet and let agents help us find the rest.
Full story here pietromiotti.com/latest/maya…
thinking about this a lot and i think we can slowly get into debate mode
human vs. ai
where we can really communicate values, but also do a hard bullshit check on stuff, and share it, i feel like the open conversation with ai, like @grok tries to do well here, is a good path forward to teach and show the pros and cons in this tech
this is for marketing, politics, coding, the "pair" session between human and ai done well is the entertaining and teaches a lot also to the observer.
I'm experimenting with an audio only interview format that i will open source soon and call or get called create a new wave for news, blogging, and information, having an ai interview you, about what you are good at.
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@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
My new favorite TikToks are now AI Job interviews . Comedy. Gold.
This motivates me to continue with heisenbag.com a faraday cage tent and curtains for your home to completely shield you from the outside world and sleep better of course thanks to blocking the 5000 wifis and bluetooth devices in your street if you live in a big city
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@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
In 2015, I built an AI that detects early cancer.
It’s still running across hundreds of hospitals in the US today.
It was the most fulfilling work of my life, and I was building in AI years before everyone called it “AI”.
Building in AI then was a dream.
Now It feels like we’ve taken a turn for the worse.
It started when i was in undergrad.
I built my first company: AI models that made the political data transparent to voters.
At 21, I was offered six figures for it, but the buyers wanted to use it for reasons I couldn't ethically support.
So we turned down the offer and shut down the company instead.
In 2014, I moved into deep learning research on language models, for the Intelligence Community and Goldman Sachs.
Then HCA Healthcare came to us.
They put me in a competition against 10 people from IBM Watson. It was just me and the tools I’d built.
Our job was to build an AI model that can catch the cancer that slips through the cracks in hospitals.
It was the most intense 30 days of my life. Multiple all nighters.
My models won. That turned into a $5M deal, and later its own company, Azra AI.
Then the world caught on.
ChatGPT and Claude arrived, and AI costs exploded.
Building in AI in 2015 felt novel.
We were using it to find cancer tumours and save lives.
Now the biggest tech companies have turned AI into a money extraction machine.
That’s when I decided to make a change.
We raised $8.5M to build a better future for AI.
On Wednesday, we’re launching Rayline.
AI shouldn’t be locked inside a few labs’ models, prices and clouds. It should be open, transparent and decentralized.
More on Wednesday.
@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
Replying to @vivilinsv
Maybe she wasn't a spy at all, just a nice lady trying to perhaps buy some GPUs, and this is a fake US spun narrative to try to further clamp down on GPU exports?
@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
Introducing terminal-phone.
Your real iPhone or iOS simulator, inside your existing terminal.
- Let your agents use your phone
- Test your apps with scripts
- Create beautiful App Store videos/screenshots
- 12 device frame colors
- Free & open source
@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
We achieved SOTA on Terminal Bench 2.1 using a DeepSeek v4.1 Flash model.
92.2% at $0.08 cost per task.
Previously Opus 5.5 was the leader at 87.6% at $0.50 cost per task (vals.ai/benchmarks/terminal-…).
Now the obvious question is how did we do it? How can you possibly improve a Flash model to beat frontier models like Opus, Fable, and Astra?
The truth is, we over-obsess about models when they are only half of the equation. The other half is the code that wraps around the model. In fact all of the most revolutionary products (Instinct, Muse, Claude Code, OpenClaw, etc.) are all just harnesses optimizations.
Rather than try to build a new model or fine-tune, we built a harness that would make:
Flash Models —> Frontier Results
Frontier Models —> Beyond Frontier Results
Did I mention it’s also ~6x faster than Claude Code?
And we’re now live. Go Check it out!
Trymidas.io
@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
If Jensen had just had sex with underage girls on a pedo island like a normal billionaire we wouldn’t be in this black Monday mess
ok @grok you think you can ask fable 5.2 about this emin.de/posts/correlations-c…
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@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
Thank you TAZ for teaching the Wesatoshis workshop at B-Only 4th edition in France.
And thank you to everyone who attended.
Hands-on, Bitcoin-only. 🧡 @alpinechain_xyz
@em ⚡ Nuri.com ⚡ ʇɹɥɐW uıɯƎ retweeted
Fable 5.2 is crazy creative.
I’ve made music my whole life and used to be a film composer. So I vibe coded my dream ambient DAW, at night, in about a week.
Ableton Push support, multiple mics, effects, a synth, and an agent inside that composes with me. I asked for birds in Lydian and it played birds in Lydian.
I feel supported by this model. It augments me, and the whole point is that I play more music.
If you’re a filmmaker or a designer or you use any professional piece of software, go make your own version that is yours.




























