Google DeepMind Releases Nano Banana 2 (Gemini 3.1 Flash Image) ↗
Google DeepMind releases Nano Banana 2 (Gemini 3.1 Flash Image), integrating the advanced world knowledge of Nano Banana Pro.
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AIHOT · Selected summaries with original sources · Nov 4, 2026, 9:00 AM
Google DeepMind releases Nano Banana 2 (Gemini 3.1 Flash Image), integrating the advanced world knowledge of Nano Banana Pro.
A Hugging Face blog post details the engineering implementation of Mixture-of-Experts (MoE) models within the Transformer architecture, covering weight loading reconstruction (supporting expert tensor packing and dynamic conversion) and expert backends (three execution strategies: eager, batched_mm, and grouped_mm).
vLLM has released version v0.16.0, featuring core updates including asynchronous scheduling and pipeline parallelism support (30.8% end-to-end throughput improvement), a WebSocket real-time API, improved RLHF workflows, unified parallel speculative decoding, and XPU platform kernel refactoring. It also adds support for model architectures such as GLM-OCR, Qwen3-ASR, DeepSeek-OCR-2, Intern-S1-Pro, MiniCPM-o 4.5, and GLM-5.
SGLang v0.5.9 has been officially released. Key updates include: overlapping LoRA weight loading with computation reduces Time To First Token (TTFT) by approximately 78%; integration of TRT-LLM NSA kernels improves DeepSeek V3.2 performance by 3–5x on the Blackwell platform.
The Ethereum Foundation has launched a treasury staking program, solo staking approximately 70,000 ETH with rewards flowing back to the foundation's treasury. It utilizes open-source software Dirk (distributed signing) and Vouch (multi-client support), employs Type 2 (0x02) withdrawal credentials, and is deployed on a hybrid infrastructure combining multi-location hosting and self-managed hardware. Deposits for the initial batch of validators have been made public, with the remainder expected to be completed within weeks.
Zhipu has launched its next-generation foundation model, GLM-5, focusing on Agent, Reasoning, and Coding (ARC) capabilities. It adopts DeepSeek Sparse Attention (DSA) to reduce inference costs, builds an asynchronous reinforcement learning infrastructure, and natively supports seven major domestic chip platforms including Huawei Ascend.
A Hugging Face blog post introduces how to combine Unsloth and Hugging Face Jobs to fine-tune the LiquidAI/LFM2.5-1.2B-Instruct model for free.
Hugging Face announced that the GGML team (creators of llama.cpp) has officially joined, with the goal of scaling support for the local AI community; the llama.cpp project remains 100% open source, technically autonomous, and community-driven, with Hugging Face providing long-term sustainable resources; both parties will promote seamless integration of model definitions between llama.cpp and the transformers library, and optimize the packaging and user experience of ggml software to make local inference easier to deploy.
Google DeepMind has released the Gemini 3.1 Pro model, describing it as a more intelligent baseline model for the most complex tasks, achieving a 77.1% validation score on the ARC-AGI-2 benchmark.
IBM Research and UC Berkeley collaborated to analyze failure modes of Gemini-3-Flash, Kimi-K2, and GPT-OSS-120B models in IT automation tasks using the IT-Bench benchmark and the newly proposed MAST (Multi-Agent System Failure Taxonomy).
On February 18, 2026, the Gemini app launched Lyria 3 in beta, enabling the generation of 30-second music from text or images. Features include automatic lyric composition, control over style/vocals/rhythm, and improved audio quality and complexity. All generated audio embeds SynthID watermarks, and a new AI verification feature for audio content has been added. Currently supports 8 languages; desktop rollout is complete, with mobile rollout expected within days.
OpenAI and Paradigm have launched EVMbench, a benchmark for evaluating AI agents' ability to detect, fix, and exploit high-risk smart contract vulnerabilities.
Gradio 6 introduces enhanced features for the gr.HTML component, supporting custom HTML templates, scoped CSS, and JavaScript interactions (js_on_load), allowing frontend rendering, state management, and backend logic to be completed within a single Python file.
The Ethereum Foundation released an update on its 2026 protocol priorities, announcing that the previous three-track structure (Scale L1/Scale Blobs/Improve UX) will be upgraded to three new tracks: Scale (focusing on consensus, execution, and Blob scaling), Improve UX (focusing on native account abstraction and interoperability), and Harden the L1 (focusing on security, censorship resistance, and network resilience). It reviewed the results of the two mainnet upgrades in 2025, Pectra and Fusaka, including EIP-7702, PeerDAS launch, gas limit increase to 60M, and historical data expiry. It clarified that the Glamsterdam upgrade will land in the first half of 2026.
Google Research released the paper "MapTrace: Scalable Data Generation for Route Tracing on Maps".
MiniMax has released the Forge agentic reinforcement learning framework. Through a flexible system architecture, the CISPO algorithm adapted for long-horizon agents, asynchronous scheduling, and training/inference optimizations, it breaks through the trilemma conflict between system throughput, training stability, and agent flexibility. This framework supports MiniMax M2.5 training, handling over 100,000 types of real-world agent scaffolds, with context lengths up to 200k and daily sample throughput reaching the million level.
ChatGPT has introduced Lockdown Mode and Elevated Risk labels to help organizations defend against prompt injection and AI-driven data exfiltration.
OpenAI has built a real-time access system combining rate limiting, usage tracking, and credit mechanisms to support continuous access to Codex and Sora.
OpenAI has released the open-source tool GABRIEL, which uses GPT to convert qualitative text and images into quantitative data, helping social scientists scale their research analysis.
Hugging Face released an agent skill named cuda-kernels, enabling coding agents such as Claude and Codex to automatically generate production-grade CUDA kernels adapted for H100/A100/T4.
Google DeepMind has released an upgraded reasoning mode for Gemini 3 Deep Think, targeting scientific, research, and engineering scenarios, with support for the Gemini API and Gemini applications.
MiniMax released the new model MiniMax-M2.5, stating that it reaches frontier-level performance in coding (80.2% on SWE-Bench Verified), agent tool calling, search (76.3% on BrowseComp), and office tasks.
Meta and Hugging Face jointly launched the open-source framework OpenEnv to evaluate AI agents in real systems (rather than simulated environments); Turing contributed Calendar Gym, a production-grade calendar management environment that supports realistic constraints such as access control, temporal reasoning, and multi-agent coordination.
Zhipu has officially open-sourced GLM-5, featuring a parameter scale of 744B (with 40B active), 28.5T pre-training data, and integration of DeepSeek Sparse Attention with the self-developed Slime reinforcement learning framework.