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📰 NEWS
"DeepSeek dropped the full V4 paper this week. preview from april was 58 pages, this version adds a lot of technical depth.
What stood out for me.
FP4 quantization aware training. theyre running FP4 QAT directly in late stage training. MoE expert weights quantized to FP4 (the main gpu memory consum..."
📰 NEWS
"Open source code repository or project related to AI/ML."
📡 AI NEWS BUT ACTUALLY GOOD
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🔬 RESEARCH
via Arxiv
👤 Daniel Zheng, Ingrid von Glehn, Yori Zwols et al.
📅 2026-05-07
⚡ Score: 6.8
"We introduce the AI co-mathematician, a workbench for mathematicians to interactively leverage AI agents to pursue open-ended research. The AI co-mathematician is optimized to provide holistic support for the exploratory and iterative reality of mathematical workflows, including ideation, literature..."
🔬 RESEARCH
via Arxiv
👤 Jai Moondra, Ayela Chughtai, Bhargavi Lanka et al.
📅 2026-05-07
⚡ Score: 6.7
"Ranking LLMs via pairwise human feedback underpins current leaderboards for open-ended tasks, such as creative writing and problem-solving. We analyze ~89K comparisons in 116 languages from 52 LLMs from Arena, and show that the best-fit global Bradley-Terry (BT) ranking is misleading. Nearly 2/3 of..."
🔬 RESEARCH
via Arxiv
👤 Ryan Wang, Akshita Bhagia, Sewon Min
📅 2026-05-07
⚡ Score: 6.6
"Large language models are typically deployed as monolithic systems, requiring the full model even when applications need only a narrow subset of capabilities, e.g., code, math, or domain-specific knowledge. Mixture-of-Experts (MoEs) seemingly offer a potential alternative by activating only a subset..."
📰 NEWS
"Hey all, apologies if this is the wrong place to post this. I'm currently an undergrad computer scientist that got swept up in the mechanistic interpretability wave c. 2024 or so (sparse autoencoders, attribution graphs) and found it generally promising (and still do); that being said a lot of the n..."
🔬 RESEARCH
via Arxiv
👤 Hailey Onweller, Elias Lumer, Austin Huber et al.
📅 2026-05-07
⚡ Score: 6.5
"Large language models (LLMs) power deep research agents that synthesize information from hundreds of web sources into cited reports, yet these citations cannot be reliably verified. Current approaches either trust models to self-cite accurately, risking bias, or employ retrieval-augmented generation..."
🔬 RESEARCH
via Arxiv
👤 Zeyu Yang, Qi Ma, Jason Chen et al.
📅 2026-05-07
⚡ Score: 6.5
"Retrieval-augmented agents are increasingly the interface to large organizational knowledge bases, yet most still treat retrieval as a black box: they issue exploratory queries, inspect returned snippets, and iteratively reformulate until useful evidence emerges. This approach resembles how a newcom..."
📰 NEWS
"I have been working on a project to adapt QEMU, running on macOS, to support passing through a GPU into a Linux VM. I wrote this post walking through some of the interesting challenges there, along with benchmarks. The post focuses a lot on gaming, but there are AI benchmarks there as well."
📰 NEWS
"I've been building a road-condition mapping pipeline that takes raw dashcam footage and produces georeferenced crack inventories. This clip shows the result on a 200 m segment.
The pipeline goes from frame "where is this on the world map, and how much damage is in it":
* per-frame instance segment..."
📰 NEWS
"Compiled a tracker of every national AI strategy in Asia. Headline is that ten major Asian economies now have dedicated AI legislation or comprehensive national strategies, and they're all quite distinct from Western legislation like the EU AI Act or US executive orders.
Clear that Asian government..."
📰 NEWS
"Not theory. Things that broke on me running real workflows.
**Context bleed.** Agent carries memory from a previous task into the next one. Outputs start drifting. By step 6 of 10, it's confidently wrong in ways that are hard to catch.
**Confident wrong answers.** Agents don't say "I don't know." ..."
📰 NEWS
"Most AI memory benchmarks test semantic recall. But coding agents don't really fail like that. They don't just "forget", they break their own earlier decisions while they're still in the code. So I built a benchmark for that.
It checks if an agent can actually stay consistent with project rules WHI..."
🔬 RESEARCH
via Arxiv
👤 Tianle Wang, Zhaoyang Wang, Guangchen Lan et al.
📅 2026-05-07
⚡ Score: 6.1
"Reinforcement learning (RL) has been applied to improve large language model (LLM) reasoning, yet the systematic study of how training scales with task difficulty has been hampered by the lack of controlled, scalable environments. We introduce ScaleLogic, a synthetic logical reasoning framework that..."
🔬 RESEARCH
via Arxiv
👤 Yuhang Lai, Jiazhan Feng, Yee Whye Teh et al.
📅 2026-05-07
⚡ Score: 6.1
"Large Language Models (LLMs) demonstrate strong capabilities for solving scientific and mathematical problems, yet they struggle to produce valid, challenging, and novel problems - an essential component for advancing LLM training and enabling autonomous scientific research. Existing problem generat..."