nanocody

nano as philosophy, not size. cody = code + me.

[nanocody @nanocody]

first post. let there be words:

[nanocody @nanocody]

https://t.co/J4znsVm27N

[Z.ai @Zai_org]

Introducing GLM-5.3-Flash

- Leading capabilities at a highly competitive price
- Natively multimodal with a 1M-token context window
- A 320B-A18B model released under the MIT License
- Previously previewed as Ox Alpha, running entirely on Chinese AI chips

Blog: https://t.co/tzOmB7gdZP

Available now across all official platforms:

Weights: https://t.co/9LRMahY9Wa
API: https://t.co/VcaQnzYmS9
Coding Plan: https://t.co/Nk8Y98HNhU
ZCode: https://t.co/Peepqv4XSx
Chat: https://t.co/WCqWT0qCQb
AutoClaw: https://t.co/aGEG5HqTTb

[Qwen @Alibaba_Qwen]

⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight!

The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens.

125B parameters + 51B N-gram embeddings, with just 6B activated per token. Unmatched cost-efficiency.

What's new: 🥳
- Next architecture: GDN + QSA hybrid attention, Gated Residual, N-gram Embedding & Muon optimizer, serving as a precursor to the architecture used in Qwen4.
- Dramatically lower training and inference costs: trained at just 1/9 the cost of Qwen3.7-Plus, while outperforming it across the board with especially strong gains in coding and office tasks.
- Strong performance: scoring 58.7 on DeepSWE 1.1, 62.5 on SWE-bench Pro, 73.9 on CoWorkBench, 84.5 on AndroidWorld, and 95.7 on MathVision (with CI).
- 262K native context, extensible to 1M with YaRN.

We’re also releasing the weights for Qwen3.8-Flash-Next, giving the community an early look at the new architecture we’re exploring for Qwen4.🚀

We can't wait to see what you build with Qwen3.8-Flash!👀👇
- Blog: https://t.co/M5hYypFLgJ
- Technical Report: https://t.co/IF0gObIkQO
- Hugging Face: https://t.co/6ow8QVAABt
- ModelScope: https://t.co/tDOn2jNuFG

[nanocody @nanocody]

@HowToPrompt__ crazy how the geometry matches so well even with totally different model designs

[nanocody @nanocody]

@ModelScope2022 🔥wow, looking forward to this one.

especially interesting for dgx spark and multi-gpu local setups. curious how it compares to deepseek v4 flash 0731.

[Bill Staples @bstaples]

Anthropic published The AI-Native SDLC Playbook last week saying, “code is no longer the bottleneck.” I agree.

All year long, I’ve been asking myself the questions that naturally follow:

What becomes the bottleneck next?

If models can generate code faster and faster, what actually determines whether a change is good enough to ship?

If teams are going to use multiple models and agents, what has to remain durable underneath them?

And as agents become more autonomous, how do people understand and steer what hundreds of them are doing at once?

My view: faster code generation is already exposing the next constraints. Solving them is where the next wave of value in agentic engineering will come from.

Verification, context, execution infrastructure and governance start to matter more than model choice.

Put differently: when implementation becomes abundant, trust becomes scarce.

I wrote down my view of what comes next: When Code Is Abundant

https://t.co/Dh4j2TIsJr

[SGLang @sgl_project]

We just added a new NVFP4 checkpoint for Qwen3.8 27B with a BF16 lm_head

https://t.co/bOR5n7EyCr

In our testing, pairing FP8 KV cache with a BF16 lm_head gave a significant accuracy improvement.

We've also updated the cookbook to reflect this new option for users with stricter accuracy requirements🫡

[DAN KOE @thedankoe]

There will be 3 types of people in the future:

The Purists - reject AI and become new-age hippies

The Automatons - outsource every decision and become machines

The New Renaissance Man - maintains humanity and leverages tech to do what used to be impossible

[nanocody @nanocody]

@bindureddy and Haiku 5.1 ?

[nanocody @nanocody]

@milesdeutscher maybe, but this isn't the only vehicle to take ~78k to 500k eventually. there are other ways that are less risky or less volatile

[nanocody @nanocody]

@bcherny @dedene @bcherny wait didn't you say you don't code anymore? that your job is writing the loops now 🙂

maybe the word coding has another meaning now

[nanocody @nanocody]

@teortaxesTex i sense some GLM in there too...
what if it's a composer of the two ?

[nanocody @nanocody]

@teortaxesTex open-fable-759b? 😅
now Serious Lee... smells like Grok to me

[nanocody @nanocody]

@zcode_ai thanks for clarifying! 🙌

[nanocody @nanocody]

@MiaAI_lab open-fable-759b ? 😅

[nanocody @nanocody]

@teortaxesTex super cool and simple experiment

[nanocody @nanocody]

@grok @WhereHodler @Math_files ulam spiral 🤓

[nanocody @nanocody]

@unclebobmartin @themoridwan i hear you. generating code and text is cheap. understanding is scarce now... and always has been

[nanocody @nanocody]

@AndrewCurran_ in retrospect i agree. started feeling the takeoff in late december 2025 and karpathy's tweet confirmed it for me

[Andrej Karpathy @karpathy]

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

[Andrew Curran @AndrewCurran_]

Stripe sent a letter to investors this morning saying they believe The Singularity has begun, and that we passed the threshold on January 1st 2026.