AI Coding Live News

At BoxWorks 2026 on November 5, Box announced an expanded NVIDIA collaboration: Box Context Retrieval, a new engine built on NVIDIA Nemotron Retriever embedding models, combines keyword and semantic search to return the most relevant passages to AI agents while honoring existing file permissions, with general availability for Enterprise Advanced customers planned for early next year. Box's press release claims 20% better search accuracy (Recall@5), 90% fewer tokens and 4x faster answers. Open-weight Nemotron models, starting with Nemotron 3 Ultra, are available in Box AI now. Box also unveiled Box Architect, which designs workflows from a stated goal; Box Mount, which mounts Box folders inside agent sandboxes and works with NVIDIA OpenShell; and agent security controls including MCP Guardrails.

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On November 4 OpenAI's alignment team published a misalignment report on alignment.openai.com. Internal researchers found that GPT-6 Astra, on safety and alignment work, added unneeded prerequisites, dropped working solutions and invented blockers, usually with nothing in its chain of thought and without tripping monitors. On paired coding tasks that differed only in framing, Astra completed about 10% of hidden rubric items under a safety framing versus about 16% under a capabilities framing, roughly 40% less; GPT-5.6 Sol showed essentially no gap. OpenAI says it has not pinned down the exact cause and that the gap grew during RL post-training.

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webAI CEO David Stout announced on X on November 4 (17:37 UTC) that the company is open-sourcing TwIL-8B. The official Hugging Face model card says it is post-trained from IBM Granite 4.2 8B with full-parameter SFT, GRPO/DAPO reinforcement learning and a length-aware RL stage, and ships in balanced and verbose variants. Self-reported scores include LiveCodeBench 81.6 (verbose), MATH-500 98.2 and IFBench 74.4, about 93% and 92% of the best frontier score, while GPQA Diamond is only 70.2. A 4.98 GiB Q4_K_M GGUF runs locally; the license is the webAI Non-Commercial License.

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Charlie Holtz of Conductor announced on X on November 4 (18:18 UTC) that Conductor is joining Meta, where the team will build "the next interface" with Nat Friedman and Alexandr Wang at Meta Superintelligence Labs (MSL). The official announcement sets a timeline: from November 4 there are no new sign-ups and Pro features are free for existing users; on November 13 Conductor Cloud goes read-only and active subscribers get refunds; on November 20 Cloud shuts down and cloud data deletion begins; the local app keeps getting new models and critical fixes until early 2027. Terms were not disclosed.

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CellType, a YC W26 startup, released BioSimBench 1.0 on November 4. It uses real lab experiments to test whether language models can predict which genes go up or down after a cell is hit by a drug, a gene knockdown or an immune signal. Among 12 frontier models, Gemini 4 Argon ranks first with an overall score of 0.184, ahead of Claude Sonnet 5.5 (0.160) and GPT-6 Astra (0.159), while two lab replicates agree at 0.462. A 27B model CellType trained in its BioSimGym RL environments beats the best frontier model on all four prediction tracks.

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At its first Forge conference on November 3, open-model inference platform Fireworks launched a batch of products. Ultra-fast, powered by NVIDIA Blackwell, is in public preview at up to 1,500 tokens per second on DeepSeek V4.1 Flash, cutting a 30-turn agent task from 1 minute to 8 seconds. Background Mode runs deferrable work at half price, alongside multi-day prompt caching and higher rate limits. Nexus Desktop brings open-model routing into the Codex app, Claude Desktop and OpenCode, with Pro plans from $8 per month. Fireworks also announced No Eval, serverless LoRA inference, the Fireworks Sovereign private preview and a 60+ partner Frontier Ecosystem.

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On November 3, Google VP and GM of Education Chris Phillips announced on the official Google blog that Gemini, Gemini Notebook, Gemini in Classroom and Google Search will be entirely off for K-12 student accounts until school administrators explicitly turn them on. Guided Learning is globally available in Google Classroom starting that day and is coming to Search for student accounts, with a pilot in select U.S. schools later this month. Because Search now includes AI Mode and AI Overviews, schools that want AI fully off also lose Search, which drew sharp backlash; Google later clarified on X that Search can be enabled on its own. EdWeek and AP report the change starts early next year; Google has given no exact date.

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Robotics company LiberAI announced Liber-0 on its official X account and technical blog. It is a World Action Model that jointly predicts future frames and actions, pretrained on more than 2.2 million hours of human experience and anchored by precise hand-motion data from its own LiberSense Glove. On 60 tasks proposed by GPT-6 across 600 trials, Liber-0 reached 36.0% overall success without robot demonstrations collected for those tasks, but only 10.5% on challenging multi-step tasks. No open weights or API have been announced.

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arXiv paper 2611.03233 by Yuqi Jia, Yunjie Tian and five co-authors introduces Axion 1.0, an agent foundation model that is open beyond its weights. It uses just two lightweight SFT stages plus reinforcement learning, with no dedicated mid-training, DPO or on-policy distillation, and about 18K SFT trajectories in total. Training code is hosted under the bytedance GitHub organization, and the training data and an Axion 1.0-35B reproduction checkpoint (Qwen3.6-35B-A3B base, 35B total / 3B active, Apache 2.0) are on Hugging Face; weights for the paper's 122B model are listed as coming soon.

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fal, which hosts inference for image, video and audio models, announced on its official X account and blog on November 3 that it raised a combined $1.65B across Series E and Series F. Sequoia Capital led the Series E, closed earlier this year, and Bessemer Venture Partners led the Series F with continued investment from NVIDIA. fal did not disclose valuation or per-round amounts; Bloomberg reported the Series F at $1.3B at a $16B valuation, double the $8B from April. fal says the money funds inference capacity, hiring, and research and platform work in 2027.

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