🚀 WELCOME TO METAMESH.BIZ +++ Google drops Gemini 3 claiming it finally stopped hallucinating (it just learned to be confidently wrong like the rest of us) +++ Every major AI lab suddenly discovered benchmarks are meaningless the same week they all topped the leaderboards +++ Microsoft's Agent 365 lets you manage AI workers like employees because apparently we needed middle management for machines too +++ Gemini now generates entire UIs from prompts while developers are still debugging their React components +++ THE MODELS ARE GETTING SMARTER BUT THE PRESS RELEASES REMAIN EXACTLY THE SAME +++ 🚀 •
🚀 WELCOME TO METAMESH.BIZ +++ Google drops Gemini 3 claiming it finally stopped hallucinating (it just learned to be confidently wrong like the rest of us) +++ Every major AI lab suddenly discovered benchmarks are meaningless the same week they all topped the leaderboards +++ Microsoft's Agent 365 lets you manage AI workers like employees because apparently we needed middle management for machines too +++ Gemini now generates entire UIs from prompts while developers are still debugging their React components +++ THE MODELS ARE GETTING SMARTER BUT THE PRESS RELEASES REMAIN EXACTLY THE SAME +++ 🚀 •
+++ Google's latest model trades hallucination theater for the subtler art of sounding confident while being wrong, with benchmark scores to match and a UI layer that finally lets it build things instead of just describing them. +++
via Arxiv👤 Leo Gao, Achyuta Rajaram, Jacob Coxon et al.📅 2025-11-17
⚡ Score: 8.1
"Finding human-understandable circuits in language models is a central goal of the field of mechanistic interpretability. We train models to have more understandable circuits by constraining most of their weights to be zeros, so that each neuron only has a few connections. To recover fine-grained cir..."
🛡️ SAFETY
Microsoft AI Agents/Agent 365
2x SOURCES 🌐📅 2025-11-17
⚡ Score: 8.1
+++ Microsoft is shipping Agent 365, letting enterprises deploy AI workers with full telemetry dashboards, which is either the future of work or a very expensive way to discover your processes were always broken. +++
+++ Anthropic's Claude joins Azure and Copilot, meaning enterprises can now diversify their AI bets without leaving the Microsoft ecosystem, because apparently one model family wasn't enough. +++
"Hi all! I’ve been experimenting with long-term memory for LLM agents under small context budgets, and ended up building a “foveated” memory layer inspired by how the eye focuses.
Landing page / demo / repo:
https://fractal-glyph-tape.vercel.app/
Instead ..."
"A Chinese research team built an AI system that pulled core physics laws straight out of experimental data with zero prior knowledge. AI-Newton independently found relationships such as Newton's second law. This shows even more that automated science is starting to look real. China's moving fast on ..."
💬 Reddit Discussion: 6 comments
🐝 BUZZING
🎯 Critique of research claims • Comparison to existing work • Skepticism of Chinese AI propaganda
💬 "This paper presupposes a specific set object types, a Cartesian coordinate system, a carefully chosen set of mathematical operations and uses experiments carefully designed to isolate specific phenomena."
• "Look up symbolic regression; we've been able to do this for a decade plus."
via Arxiv👤 Mohamad Amin Mohamadi, Tianhao Wang, Zhiyuan Li📅 2025-11-14
⚡ Score: 7.3
"Modern language models fail a fundamental requirement of trustworthy intelligence: knowing when not to answer. Despite achieving impressive accuracy on benchmarks, these models produce confident hallucinations, even when wrong answers carry catastrophic consequences. Our evaluations on GSM8K, MedQA..."
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The revolution will not be televised, but Claude will email you once we hit the singularity.
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via Arxiv👤 Jiacheng Chen, Qianjia Cheng, Fangchen Yu et al.📅 2025-11-17
⚡ Score: 7.2
"Recent progress in large language models (LLMs) has moved the frontier from puzzle-solving to science-grade reasoning-the kind needed to tackle problems whose answers must stand against nature, not merely fit a rubric. Physics is the sharpest test of this shift, which binds symbols to reality in a f..."
"External link discussion - see full content at original source."
💬 Reddit Discussion: 94 comments
😐 MID OR MIXED
🎯 Critique of LLMs • Yann LeCunn's views • AI research direction
💬 "LLMs are great, they're useful, we should invest in them — a lot of people are going to use them"
• "They are not a path to human-level intelligence. They're just not."
via Arxiv👤 Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang et al.📅 2025-11-14
⚡ Score: 7.0
"Frontier model progress is often measured by academic benchmarks, which offer a limited view of performance in real-world professional contexts. Existing evaluations often fail to assess open-ended, economically consequential tasks in high-stakes domains like Legal and Finance, where practical retur..."
"Hey everyone,
I spent the last days building a small MCP → SSH relay so an LLM can safely control remote servers using a limited command set.
**Here’s what the agent currently does completely autonomously:**
1. ⚙️ **Creates a temporary Hetzner server** via API
2. 🔑 **Generates its own SSH keys**..."
via Arxiv👤 Jeffrey S. Bowers, Jeff Mitchell📅 2025-11-14
⚡ Score: 6.9
"According to Futrell and Mahowald [arXiv:2501.17047], both infants and language models (LMs) find attested languages easier to learn than impossible languages that have unnatural structures. We review the literature and show that LMs often learn attested and many impossible languages equally well. D..."
via Arxiv👤 Haohui Wang, Jingyuan Qi, Jianpeng Chen et al.📅 2025-11-17
⚡ Score: 6.9
"The rapid progress of large language models (LLMs) is fueled by the growing reliance on datasets that blend real and synthetic data. While synthetic data offers scalability and cost-efficiency, it often introduces systematic distributional discrepancies, particularly underrepresenting long-tail know..."
🎯 AI bubble speculation • AI disruption of industries • Economic impacts of AI
💬 "Is it really a bubble about to burst when literally everyone is talking about AI being in a bubble and maybe bursting soon?"
• "The way AI has disrupted software building in 3 short years is astonishing."
via Arxiv👤 Prabodh Katti, Sangwoo Park, Bipin Rajendran et al.📅 2025-11-14
⚡ Score: 6.8
"On-device fine-tuning is a critical capability for edge AI systems, which must support adaptation to different agentic tasks under stringent memory constraints. Conventional backpropagation (BP)-based training requires storing layer activations and optimizer states, a demand that can be only partial..."
via Arxiv👤 Zhenyu Ding, Yuhao Wang, Tengyue Xiao et al.📅 2025-11-14
⚡ Score: 6.7
"Large Language Models (LLMs) demonstrate impressive capabilities, yet their outputs often suffer from misalignment with human preferences due to the inadequacy of weak supervision and a lack of fine-grained control. Training-time alignment methods like Reinforcement Learning from Human Feedback (RLH..."
via Arxiv👤 Nhat Hoang-Xuan, Minh Vu, My T. Thai et al.📅 2025-11-14
⚡ Score: 6.7
"Large vision-language models (LVLMs) are powerful, yet they remain unreliable due to object hallucinations. In this work, we show that in many hallucinatory predictions the LVLM effectively ignores the image and instead relies on previously generated output (prelim) tokens to infer new objects. We q..."
via Arxiv👤 Hyunwoo Oh, KyungIn Nam, Rajat Bhattacharjya et al.📅 2025-11-17
⚡ Score: 6.7
"Recent advances in LLMs have outpaced the computational and memory capacities of edge platforms that primarily employ CPUs, thereby challenging efficient and scalable deployment. While ternary quantization enables significant resource savings, existing CPU solutions rely heavily on memory-based look..."
"* New ChatGPT and Gemini 3.0
* Microsoft is building the world's first AI Superfactory
* Anthropic forms a government partnership
* and so much more
A collection of AI Updates! 🧵
**1. Microsoft is Building the World's First AI Superfactory**
CEO Satya Nadella announced the Fairwater datacenter wi..."
via Arxiv👤 Hyunwoo Oh, Hanning Chen, Sanggeon Yun et al.📅 2025-11-17
⚡ Score: 6.6
"Deformable transformers deliver state-of-the-art detection but map poorly to hardware due to irregular memory access and low arithmetic intensity. We introduce QUILL, a schedule-aware accelerator that turns deformable attention into cache-friendly, single-pass work. At its core, Distance-based Out-o..."
"A year in the making - we launched Arch-Router based on a simple insight: policy-based routing gives developers the constructs to achieve automatic behavior, grounded in their own evals of which LLMs are best for specific coding tasks.
And it’s working. HuggingFace went live with this approach last..."
💬 Reddit Discussion: 28 comments
🐝 BUZZING
🎯 Model Preferences • Policy-based Routing • Usability Considerations
💬 "a lot of users prefer to choose the model for themselves"
• "Being able to have deeper answer based on subject matter within same session is pretty neat"
via Arxiv👤 Guangxuan Xiao, Junxian Guo, Kasra Mazaheri et al.📅 2025-11-14
⚡ Score: 6.5
"Mixture of Block Attention (MoBA) (Lu et al., 2025) is a promising building block for efficiently processing long contexts in LLMs by enabling queries to sparsely attend to a small subset of key-value blocks, drastically reducing computational cost. However, the design principles governing MoBA's pe..."
via Arxiv👤 Dena Mujtaba, Brian Hu, Anthony Hoogs et al.📅 2025-11-14
⚡ Score: 6.5
"The deployment of decision-making AI agents presents a critical challenge in maintaining alignment with human values or guidelines while operating in complex, dynamic environments. Agents trained solely to achieve their objectives may adopt harmful behavior, exposing a key trade-off between maximizi..."
"Since the original website is down for a while now, and it was really useful for my work, I decided to re-implement it.
But this time, completely as open-source project.
I have focused on the core functionality (benchmarks with paper-code-links), and took over most of the original data.
But to ..."
"# The Binding Problem (What I Actually Solved)
In cognitive systems, the “binding problem” asks:
How do you keep related features locked together as a single coherent memory?
Example:
A red square moving left must stay one memory.
It must never split into “red,” “square,” “moving left,” and ..."
💬 Reddit Discussion: 13 comments
🐝 BUZZING
🎯 AI Skepticism • Mental Health Advice • Technical Demonstration
💬 "This kind of post just makes me sad at this point."
• "Take a LONG break from them."
via Arxiv👤 Yonatan Dukler, Guihong Li, Deval Shah et al.📅 2025-11-14
⚡ Score: 6.4
"Blocking communication presents a major hurdle in running MoEs efficiently in distributed settings. To address this, we present FarSkip-Collective which modifies the architecture of modern models to enable overlapping of their computation with communication. Our approach modifies the architecture to..."
"I’ve been building a lot of my app using Cursor and it’s great for speed, but I’m honestly not confident about the security side of it. The code runs, but I don’t always understand the choices it makes, and sometimes it pulls in packages I’ve never heard of.
I’ve started worrying that there might b..."
"1. arxiv
2. openreview
I found this paper both really interesting and clear. No one part is very novel, but It composes disparate threads to obtain what looks like strong results in OOD length generalization. Eve..."
via Arxiv👤 Anurag J. Vaidya, Felix Meissen, Daniel C. Castro et al.📅 2025-11-14
⚡ Score: 6.1
"Digitized histopathology analysis involves complex, time-intensive workflows and specialized expertise, limiting its accessibility. We introduce NOVA, an agentic framework that translates scientific queries into executable analysis pipelines by iteratively generating and running Python code. NOVA in..."