
Moonshot AI
Moonshot AI publishes the full weights of Kimi K3.1 Pro
The 2.8-trillion-parameter model that Moonshot’s own tests place close to the best closed systems is now downloadable, under a licence with two conditions for very large operators.
What changed in AI this week, and what it means for your business.

Moonshot AI
The 2.8-trillion-parameter model that Moonshot’s own tests place close to the best closed systems is now downloadable, under a licence with two conditions for very large operators.

CCORE (independent developer)
An independent developer has fine-tuned Qwen3.5-4B to write Three.js scenes that export straight to GLB files for Godot and other editors.

Pruna AI
P-H3-Image generates and edits stills in 8 steps instead of 50, but it inherits a licence that excludes the US, UK, EU and South Korea.

Sarvam AI
India’s Sarvam AI has released an open decision model that picks from the options you give it in about 44 milliseconds and reports how confident it is.

Deep Principle
Post-trained from GLM-5.3 on laboratory records and discovery work, it writes and runs simulations, and its maker reports wins over GPT-6 Astra on several science tasks.

MIT CSAIL
In early, unreviewed experiments, OpenAI’s top model told what small networks were trained for from their raw numbers, and cut a small model’s reasoning loops by changing 0.016% of its weights.

Perplexity
pplx-embed-v2-context comes in 9B and 0.6B sizes, embeds each chunk with its whole document in view, and handles PDFs and images.

Beipo
Released under Apache 2.0 in 9B, 35B and 397B sizes, NorthCUA reports 88.6% on OSWorld-Verified and ships with its own open-source agent runtime.

DiffuSpace
DiffuSpace’s preview model drafts text in parallel blocks instead of one token at a time, and reports agent tasks finishing several times faster.

Pika
Pika’s model generates video and soundtrack together in six steps; 4K output and five editable audio stems come through its hosted API from US$0.01 a second.

ServiceNow
Apriel Voice 27B Preview takes speech in and returns answers and tool calls in one model, and its makers say plainly where a human should check the work.

Baidu
An open 3B document-parsing model whose cost per step stays flat however long the document gets, released under the MIT licence.

Liquid AI
Six open models of around 2 billion parameters, built to run on phones and laptops, with a text model that beats Qwen3.5-9B on Liquid’s benchmark average.

OpenAI
At US$1 per million input tokens, Terra costs a tenth of GPT-6 Astra per token and is built for screen-reading, app control and everyday writing.
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