📚 HISTORICAL ARCHIVE - December 24, 2025
What was happening in AI on 2025-12-24
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Archive from: 2025-12-24 | Preserved for posterity ⚡
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🔔 OPEN SOURCE
"Happy holidays! 🎄
I’m Ibragim from Nebius.
We’re releasing a big dataset for agentic coding research: 67,074 OpenHands trajectories (plus 2 RFT checkpoints), built from 3,800 resolved issues across 1,800+ Python repos. The trajectories are long: 64 turns on average, up to 100 turns, and up to 131..."
🤖 AI MODELS
"Hey folks, merry festive season to you all. Hope you are staying safe!
Wanted to share a new open-source coding model release that might be interesting to yall here. My team proudly published it this morning..(we are a small start up out of Australia)
It’s called Maincoder-1B... a 1B-paramete..."
🤖 AI MODELS
"Hi everyone — I’m on the Katanemo research team. Today we’re thrilled to launch **Plano-Orchestrator**, a new family of LLMs built for fast multi-agent orchestration.
What do these new LLMs do? given a user request and the conversation context, Plano-Orchestrator decides which agent(s) should handl..."
⚡ BREAKTHROUGH
🎯 Video codec selection • Congestion control and latency • Adaptive streaming
💬 "Just turn off B-frames and you should be OK"
• "WebRTC will do this for you if you can use it"
🛠️ SHOW HN
🎯 Use cases & examples • Future plans & roadmap • Browser automation capabilities
💬 "Would you share some use cases and how you or your users use it personally?"
• "What's the plan for incorporating new standards like Agent Skills as they quickly evolve and launch?"
🛠️ TOOLS
" Old workflow with Drata/Vanta:
Screenshot issue → paste in Claude → get fix → apply to AWS → go back to dashboard → mark done → repeat 50x
Why am I copy-pasting between a dashboard and AI?
So I built an MCP server. Now Claude Code does it all:
Scan AWS → find issues → propose fix → I ap..."
🛠️ TOOLS
"Reward hacking is a known problem but tooling for catching it is sparse. I built RewardScope to fill that gap.
It wraps your environment and monitors reward components in real-time. Detects state cycling, component imbalance, reward spiking, and boundary exploitation. Everything streams to a live d..."
🔬 RESEARCH
via Arxiv
👤 Ignacio Iacobacci, Zhaozhi Qian, Faroq AL-Tam et al.
📅 2025-12-22
⚡ Score: 7.0
"Recently, a new wave of thinking-capable Large Language Models has emerged, demonstrating exceptional capabilities across a wide range of reasoning benchmarks. Early studies have begun to explore how the amount of compute in terms of the length of the reasoning process, the so-called thinking budget..."
🔬 RESEARCH
via Arxiv
👤 Yuqiao Tan, Minzheng Wang, Shizhu He et al.
📅 2025-12-22
⚡ Score: 6.9
"Existing reinforcement learning (RL) approaches treat large language models (LLMs) as a single unified policy, overlooking their internal mechanisms. Understanding how policy evolves across layers and modules is therefore crucial for enabling more targeted optimization and raveling out complex reaso..."
📡 AI NEWS BUT ACTUALLY GOOD
The revolution will not be televised, but Claude will email you once we hit the singularity.
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🔬 RESEARCH
via Arxiv
👤 Jiacheng Guo, Ling Yang, Peter Chen et al.
📅 2025-12-22
⚡ Score: 6.8
"Training capable Large Language Model (LLM) agents is critically bottlenecked by the high cost and static nature of real-world interaction data. We address this by introducing GenEnv, a framework that establishes a difficulty-aligned co-evolutionary game between an agent and a scalable, generative e..."
🔬 RESEARCH
via Arxiv
👤 Linfeng Zhang, Siheng Chen, Yuzhu Cai et al.
📅 2025-12-23
⚡ Score: 6.8
"AI agents are emerging as a practical way to run multi-step scientific workflows that interleave reasoning with tool use and verification, pointing to a shift from isolated AI-assisted steps toward \emph{agentic science at scale}. This shift is increasingly feasible, as scientific tools and models c..."
🔬 RESEARCH
via Arxiv
👤 Quyu Kong, Xu Zhang, Zhenyu Yang et al.
📅 2025-12-22
⚡ Score: 6.8
"Among existing online mobile-use benchmarks, AndroidWorld has emerged as the dominant benchmark due to its reproducible environment and deterministic evaluation; however, recent agents achieving over 90% success rates indicate its saturation and motivate the need for a more challenging benchmark. In..."
🔬 RESEARCH
via Arxiv
👤 Amirhosein Ghasemabadi, Di Niu
📅 2025-12-23
⚡ Score: 6.8
"Large language models (LLMs) generate fluent and complex outputs but often fail to recognize their own mistakes and hallucinations. Existing approaches typically rely on external judges, multi-sample consistency, or text-based self-critique, which incur additional compute or correlate weakly with tr..."
🔬 RESEARCH
via Arxiv
👤 Chen Hu, Haikuo Du, Heng Wang et al.
📅 2025-12-23
⚡ Score: 6.7
"As LLMs shift toward autonomous agents, Deep Research has emerged as a pivotal metric. However, existing academic benchmarks like BrowseComp often fail to meet real-world demands for open-ended research, which requires robust skills in intent recognition, long-horizon decision-making, and cross-sour..."
🔬 RESEARCH
via Arxiv
👤 Kirill Djebko, Tom Baumann, Erik Dilger et al.
📅 2025-12-22
⚡ Score: 6.7
"Attitude control is essential for many satellite missions. Classical controllers, however, are time-consuming to design and sensitive to model uncertainties and variations in operational boundary conditions. Deep Reinforcement Learning (DRL) offers a promising alternative by learning adaptive contro..."
🔬 RESEARCH
via Arxiv
👤 Seijin Kobayashi, Yanick Schimpf, Maximilian Schlegel et al.
📅 2025-12-23
⚡ Score: 6.7
"Large-scale autoregressive models pretrained on next-token prediction and finetuned with reinforcement learning (RL) have achieved unprecedented success on many problem domains. During RL, these models explore by generating new outputs, one token at a time. However, sampling actions token-by-token c..."
🔬 RESEARCH
via Arxiv
👤 Runtao Liu, Ziyi Liu, Jiaqi Tang et al.
📅 2025-12-23
⚡ Score: 6.6
"Recent advances in multimodal LLMs and systems that use tools for long-video QA point to the promise of reasoning over hour-long episodes. However, many methods still compress content into lossy summaries or rely on limited toolsets, weakening temporal grounding and missing fine-grained cues. We pro..."
🔬 RESEARCH
via Arxiv
👤 Martin Sedlacek, Pavlo Yefanov, Georgy Ponimatkin et al.
📅 2025-12-22
⚡ Score: 6.6
"Vision-Language-Action (VLA) models empower robots to understand and execute tasks described by natural language instructions. However, a key challenge lies in their ability to generalize beyond the specific environments and conditions they were trained on, which is presently difficult and expensive..."
🔬 RESEARCH
via Arxiv
👤 Humza Nusrat, Luke Francisco, Bing Luo et al.
📅 2025-12-23
⚡ Score: 6.5
"Stereotactic radiosurgery (SRS) demands precise dose shaping around critical structures, yet black-box AI systems have limited clinical adoption due to opacity concerns. We tested whether chain-of-thought reasoning improves agentic planning in a retrospective cohort of 41 patients with brain metasta..."
🛠️ TOOLS
"I've been using Claude/Cursor and these MCP things for a while now. These are the ones you must have
**Context 7** is like having a really smart friend who always knows the latest way to use any coding library. No more outdated examples that don't work.
**Docker MCP** is genius because it keeps th..."
🛠️ TOOLS
"If you're using Claude in production, you've probably hit rate limits, wanted to compare Claude vs GPT-4 for specific tasks, or needed fallback when Anthropic has downtime.
**What we built:**
Bifrost - an open source LLM gateway that lets you route between Claude (all models), OpenAI, Gemini, Bedr..."
🔬 RESEARCH
via Arxiv
👤 Yanhong Li, Songlin Yang, Shawn Tan et al.
📅 2025-12-23
⚡ Score: 6.2
"Distilling pretrained softmax attention Transformers into more efficient hybrid architectures that interleave softmax and linear attention layers is a promising approach for improving the inference efficiency of LLMs without requiring expensive pretraining from scratch. A critical factor in the conv..."
🔬 RESEARCH
via Arxiv
👤 Rui Pan, Zhuofu Chen, Ravi Netravali
📅 2025-12-23
⚡ Score: 6.1
"Diffusion Large Language Models (dLLMs) offer fast, parallel token generation, but their standalone use is plagued by an inherent efficiency-quality tradeoff. We show that, if carefully applied, the attributes of dLLMs can actually be a strength for drafters in speculative decoding with autoregressi..."
🔬 RESEARCH
via Arxiv
👤 Junze Ye, Daniel Tawfik, Alex J. Goodell et al.
📅 2025-12-22
⚡ Score: 6.1
"Automating the calculation of clinical risk scores offers a significant opportunity to reduce physician administrative burden and enhance patient care. The current standard for evaluating this capability is MedCalc-Bench, a large-scale dataset constructed using LLM-based feature extraction and rule-..."