Wandering @wander | prev @shopify @uwaterloo CEO @polarityco
San Francisco
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I Wander how this happened! All jokes aside @polarityco been acquired!
Really excited to be building with the talented people over at @wander :)
We’re excited to welcome the Polarity team to Wander!
Polarity is an applied AI research lab focused on agents and model post-training, founded by @shanebarakat_ and @alexinbinary. Together, we’ll be pushing AI further across Wander to build smarter, more powerful tools for vacation rental operators as a build the infrastructure to experience the world.
wander.com/article/wander-x-…
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After deployment, we applied GPT-5.6 Sol to advance the frontier of efficiency by making itself more efficient to run.
The results:
- 20% lower serving costs from production GPU kernel improvements.
- 15%+ better token-generation efficiency from improved speculative decoding.
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Alex retweeted
Introducing Kimi K3: Open Frontier Intelligence
🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost
🔹 Built for long-horizon agentic coding and self-evolving workflows
Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API.
Open Weights by July 27, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.com/blog/kimi-k3
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Fable is not included in Claude Code
Why not let me use my rate limit towards any model 😭
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
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War is over
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
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Alex retweeted
Introducing Cursor for iOS.
Build from anywhere by launching always-on cloud agents. Or remotely control agents running on your computer from the app.
Composer 2.5 is 75% off in the app now through July 5.
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Deepseek moment v2
DeepSeek just released DSpark for V4 Flash & Pro, a new speculative decoding method boosting throughput by 51% to 400%!
DS also showed DSpark works well for other models like Gemma & Qwen
Github: github.com/deepseek-ai/DeepS…
Paper: github.com/deepseek-ai/DeepS…
HF: huggingface.co/deepseek-ai/D…
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Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work.
openai.com/index/previewing-…
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This is genuinely huge though breaking 1nm was far off
The world’s first sub‑1 nanometer node chip is here.
Delivering 70% greater energy efficiency, this breakthrough powers a new era of computing that’s more capable while using less energy.
Dig into this next-gen tech: ibm.co/6016EOHpM
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Impressive hopefully not benchmaxxed tho as would be interesting training method considering the 35B MoE numbers
Aloha! 🌺 Meet Ornith-1.0, a family of open-source LLMs specialized for agentic coding.
Ornith-1.0 spans the full parameter sizes including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks including:
✅Terminal-Bench 2.1(77.5)
✅SWE-Bench(82.4 on verified, 62.2 on pro, 78.9 on Multilingual)
✅NL2Repo(48.2)
✅SWE Atlas(41.2 on QnA, 42.6 RF, 39.1 TW)
✅ClawEval(77.1)
Post-trained on top of gemma4 and qwen3.5, Ornith-1.0 employs a novel self-improving training strategy in which reinforcement learning is used to generate not only solution rollouts, but also the task-specific scaffolds that drive those rollouts. By jointly optimizing the scaffold and the resulting solution, the model generate higher-quality solutions in agentic coding.😎
All models are released under the MIT license, enabling full commercial and research use.
📖Tech Blog: deep-reinforce.com/ornith_1_…
🤗Huggingface: huggingface.co/collections/d…
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They trying to verticalize the stack i see you @sama
We’ve designed and built our first AI chip: Jalapeño.
Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products.
Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.
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We’ve designed and built our first AI chip: Jalapeño.
Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products.
Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.
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