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Google announced that it will open a preview of Agent Compute Engine to Google Cloud users later this year, providing each AI agent with a hardware-isolated microVM that balances container startup speed with sandbox security. The service was originally internal infrastructure for Gemini, Antigravity, and Google's model training pipelines; when an agent is idle, it checkpoints the microVM to free up resources. Google is also offering an open-source runtime, Agent Substrate, which can run on any K

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404 Media reports that AI is simultaneously changing offensive hacking and security defense: after researchers used AI to discover the PHP2Shell vulnerability in PHP, Cloudflare observed thousands of exploitation attempts 10 hours before public disclosure, rising to tens of thousands 45 minutes after disclosure, and reaching hundreds of thousands within 2 hours. OpenAI says such discoveries show that AI can expose security flaws at internet scale, but the same capability can also help attackers

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Gary Marcus, citing an Axios report, said that US banks are tightening system access permissions due to AI agent attacks, and that bank executives are alarmed by these findings. He also mentioned that the attack on France's refrigeration system on October 11 may have been facilitated by agents, as well as the continuously increasing cybersecurity attacks in Japan. He believes that attackers do not need the most advanced frontier models to cause damage, and therefore regulation should not focus o

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TMS systems' AI route planning visualization uses the Mapbox Directions API's alternatives=true to obtain up to 2 alternative routes and compares them side by side with differentiated styles. Dragging waypoints triggers recalculation only on dragend, combined with 500ms debouncing to avoid consecutive requests; after changes, incremental metrics and the warnings field are used to indicate restricted roads and time window conflicts. The Mapbox Directions API supports at most 25 coordinate points

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Hugging Face on Thursday released the open-source DNA understanding model Carbon-X, which can run locally on a laptop, letting users ask in natural language how DNA changes affect gene activity and health. The model was developed in collaboration with researchers at Zhongguancun Academy and the University of Naples Federico II; it extends the vocabulary of an existing language model to read DNA in six-letter units and was further trained on 300 billion tokens of DNA sequences, English text, and

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Lenovo New Vision and GigaAI have signed a strategic cooperation agreement to connect the "data—model—hardware—scenario" industry loop with world models at its core, jointly building a benchmark for domestic embodied intelligence collaborative innovation. The two parties will cooperate in three major directions: computing power business synergy, embodied data development, and industry-education integration, providing integrated services for computing power leasing, computing power construction,

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LMSYS used Miles, SGLang, Megatron-LM, and Harbor to perform fully asynchronous agent reinforcement learning on Qwen3-30B-A3B-Instruct on AMD Instinct MI355X, raising pass@1 from 7.3% to 27.5% on a 100-task stratified subset of SWE-bench Verified. Training was conducted in two stages: first SFT on approximately 4,000 public trajectories from Open-SWE-Traces, then GRPO on approximately 1,350 SWE-smith tasks. After fixing the model and RL recipe, scaling inference from 1 node to 3 8-GPU nodes, swi

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ElevenLabs has published a tutorial on how to integrate the text-to-speech API into an app using Python and TypeScript: create an API key, install the ElevenLabs SDK, send text to the TTS endpoint and specify a voice and model, then play the returned audio. The example uses the eleven v4 model, and the low-latency Eleven Flash v2.5 is also available; the Voice Library offers more than 17,500 voices, and output defaults to mp3 but can be switched to ulaw or pcm.

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In the interview, XBP Global CEO Andrej Jonovic said the company is applying agentic AI in regulated environments such as healthcare, the public sector, and financial services, using adaptive process orchestration, retaining deterministic rules engines where precision and compliance are required, and introducing replaceable enterprise-grade open-weight models. He cited a global airline fleet maintenance lifecycle project as an example, explaining that maintenance records are vectorized and store

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Starting with version 1.5.0, Google Cloud's Agents CLI introduces an Extension System that allows developers to override or add commands without forking the tool; version 1.8.0 debuts the first LangChain extension, replacing ADK-bound commands with equivalent LangChain implementations. Extensions are declared via agents-cli-extension.yaml in a Git repository and can override built-in commands such as playground, deploy, and eval generate, or add new commands; enterprise platform teams can use th

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Mastra has released the Mastra Observability managed platform, which can connect directly to Mastra framework projects, automatically trace agent runs, and view the latency, tokens, and cost of model and tool calls. The platform supports online scorers to monitor correctness, team annotation of traces to build evaluation datasets, and running evaluations in CI via Gates and Verdicts to catch regressions. It offers 100k observability events per month free with 15-day retention; beyond that, it co

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The Tencent Cloud Developer Community shared a production-ready WMS inventory conversational assistant solution: the LLM is only responsible for understanding intent and mapping parameters, while actual queries are completed by proprietary API tools, and the conversation is managed with a three-state state machine of idle, streaming, and awaiting-confirm. The solution uses NDJSON streaming parsing and retains a half-line buffer, and trims historical context to the most recent 10–15 turns to cont

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NVIDIA and Databricks plan to integrate NVIDIA BioNeMo's open-source protein design model RFD4-Proteina into Databricks' Genesis Workbench, running on the now generally available AI Runtime serverless NVIDIA GPU compute. The model can simultaneously generate protein sequences and all-atom structures, and supports optional reward-guided search to steer candidate designs toward target properties such as thermostability and binding affinity. Genesis Workbench includes two built-in RFD4-Proteina wor

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On October 21, 2026, NVIDIA expanded the Nemotron Retriever series, launching Nemotron 3.5 Embed (8B BF16, 1B BF16, 1B NVFP4), Nemotron 3.5 Rerank 8B BF16, and the 631-million-parameter Nemotron 3.5 Parse, aimed at multimodal retrieval and document processing for enterprise agent workflows. NVIDIA says that adding Rerank to the agent retrieval pipeline reduces the token cost per query by about 14% (with the 8B embedding model) and 13% (with the 1B model), respectively, while also improving retri

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Fireworks AI announced that Muse Glimmer 30B can be trained with SFT for free until November 30, and released a complete recipe for a prediction experiment using historical Kalshi market data. The fine-tuned Glimmer achieved 58.3% accuracy on unseen topics, 11.2 percentage points higher than Jev's 47.1%; in a historical backtest, a hypothetical $1,000 grew to $1,071 after accounting for simulated fees, while both base Glimmer and Jev lost money. Training used LoRA adapters and a K-way cross-entr

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Fireworks AI launches the Free Weights Club, offering free SFT training for Muse Glimmer 30B until November 30. The fine-tuned tuned Glimmer achieves 58.3% prediction accuracy on unseen topics, 11.2 percentage points higher than Jev's 47.1%; in a historical backtest, after deducting simulated trading fees, a hypothetical $1,000 grew to $1,071, while both Jev and base Glimmer posted losses. In a separate synthetic benchmark, Fireworks' System One serving stack delivered median server throughput 2

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