thinker, traveler, explorer
Los Angeles, CA
Joined April 2008
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Qwen 27B in 6gb of RAM
Insane
Today, we’re announcing Ternary Bonsai 2 27B.
Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance.
Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use.
Ternary Bonsai 2 27B is available today under Apache 2.0.
Jason S. Mow 🤔 retweeted
M5 Ultra has also landed
- Up to 36-core CPU
- Up to 80-core GPU
- 1.2TB/s for unified memory
(A fully specced-out M5 Ultra Mac Studio with 16TB storage and 256GB of memory now costs $18,299)
apple.com/newsroom/2026/08/a…
Jason S. Mow 🤔 retweeted
this is why all the climate doomers will be wrong.
we will be able to engineer our way out of a lot of our climate problems
> Rainmaker just became the first company to prove it had created extra rain and snow in Alaska
> in just three hours, they produced ~19M gallons of water, enough to supply 150 American households for an entire year, with just two drones!!
> the drones find clouds already holding water and help that water fall as rain or snow
> covering Utah’s entire 7,500-square-mile Bear River Basin will take 36 drones working in relays, and the same model can be repeated across the mountain ranges feeding the Colorado River
> the extra snow melts into streams and reservoirs, supplying farms, cities and hydropower through the dry months
> Rainmaker’s goal is to stop the Great Salt Lake from shrinking by 2030 and double the Colorado River’s flow by 2031
> now imagine this at full scale...
they'll basically turn the sky itself into a tool for fighting drought, empty reservoirs, shrinking glaciers, damaged ecosystems, and wildfire risk
Rainmaker just produced ~19M gallons of water in Alaska via next-gen cloud seeding over 3 hours of operations.
We are the first company to provably produce precipitation in Alaska. As promised, we’ve linked our white paper and relevant data.
In the future, Rainmaker will protect and restore glaciers with man-made snowfall.
Immediately, this demonstration shows how Rainmaker will add new water to the Colorado River and Great Salt Lake in the coming months.
We turned around this analysis and white paper just a couple days after operating. There are many data sources I want to deepen our understanding of the atmosphere and increase our provable production; we’re building the instruments to collect that data in subsequent operations. But at Rainmaker, we won’t tout LOIs, simulations, or lab tests. What matters is physically measuring that you’ve affected the atmosphere; proving that we’ve produced water. We prefer sharing only the tech that has proven to make more water for farms, industries, and ecosystems in need.
Expect a regular cadence of these from us as we build the best atmospheric science lab in the world. Feedback is welcome in the interim.
Rainmaker Century.
rainmaker.com/blog/alaska-va…
Jason S. Mow 🤔 retweeted
Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies.
It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus 4.8 across reasoning, agentic, and coding tasks:
✅Terminal-Bench 2.1 (86.1)
✅SWE-Bench (86 on verified, 65.1 on pro, 79.6 on Multilingual)
✅DeepSWE (56)
✅HLE (44.6)
✅ClawEval (81.4)
✅Tool Decathlon (71.2)
Ornith-1.5 takes a major step toward training foundation models through end-to-end self-improvement, extending the self-scaffolding strategies introduced in Ornith-1.0 into a more complete self-improvement loop: the model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for reinforcement learning, continuously creating new learning experiences from which it can improve.
All models, along with their quantized versions (FP8, GGUF, MLX, and NVFP4), have been released under the MIT License, enabling unrestricted commercial and research use.
📘Tech Blog: ornith.ai/ornith_1_5.html
🤗Huggingface: huggingface.co/collections/o…
Jason S. Mow 🤔 retweeted
AI will do to everyone what the Internet has been doing for 20 years, just more so: it'll make the smart people smarter, and the dumb people dumber. It'll empower those with agency, and turn the slothful into NPCs.
No amount of 'alignment' or policy will much change that.
Jason S. Mow 🤔 retweeted
AI agents are incredibly powerful, but they still don’t show up where everyday life actually happens.
For so many of us, life runs on group chats. Plans, trips, family logistics, inside jokes, chaos…
That’s why we built @heyJarvie.
We think group chats are the perfect place to use AI with your friends and family.
1/ Last year we got hooked on agents. Today, many friends and family still haven’t found their daily AI.
So we built @heyjarvie, your AI assistant for iMessage group chats.
With an $8.3M Seed from @a16z, @Base10Partners & @lightspeedvp we're giving chats an agentic boost!
Try it at heyjarvie.com.
Jason S. Mow 🤔 retweeted
1/ Last year we got hooked on agents. Today, many friends and family still haven’t found their daily AI.
So we built @heyjarvie, your AI assistant for iMessage group chats.
With an $8.3M Seed from @a16z, @Base10Partners & @lightspeedvp we're giving chats an agentic boost!
Try it at heyjarvie.com.
Jason S. Mow 🤔 retweeted
11 years ago, we launched @kp_fellows to find next-gen leaders. Today, our community is 800+ strong, including founders, execs, and @kleinerperkins investors. Thrilled to expand with KP Next, designed for experienced engineers, PMs, and designers who want to build the future🚀
Today we’re launching KP Next—a program designed to supercharge the next generation of leaders. Learn the fundamentals of company building at a fast-growing startup, access the @kleinerperkins network + resources, and join a curated community of peers.⚡️next.kleinerperkins.com⚡️
Jason S. Mow 🤔 retweeted
Introducing the @sequoia Gen AI Market Map!🌎 We’ve decided to map out this emerging frontier, thanks to all the contributions and feedback we’ve received.
This space is moving quickly – this map is a living document, so keep the suggestions coming! Who else should we include?
