🚀 WELCOME TO METAMESH.BIZ +++ Karpathy says AGI is still a decade away (meanwhile his AI tutor startup just raised millions to teach humans before they're obsolete) +++ Plain English beats JSON for LLM tool-calling by 18 points because apparently computers prefer human conversation now +++ OpenAI needs $400B in 12 months while planning to save 30% on chips by ditching NVIDIA (the math is mathing perfectly) +++ AI coding tools made devs 19% slower according to METR (the productivity revolution will be debugged) +++ THE FUTURE RUNS ON NATURAL LANGUAGE AND VENTURE DEBT +++ 🚀 •
🚀 WELCOME TO METAMESH.BIZ +++ Karpathy says AGI is still a decade away (meanwhile his AI tutor startup just raised millions to teach humans before they're obsolete) +++ Plain English beats JSON for LLM tool-calling by 18 points because apparently computers prefer human conversation now +++ OpenAI needs $400B in 12 months while planning to save 30% on chips by ditching NVIDIA (the math is mathing perfectly) +++ AI coding tools made devs 19% slower according to METR (the productivity revolution will be debugged) +++ THE FUTURE RUNS ON NATURAL LANGUAGE AND VENTURE DEBT +++ 🚀 •
+++ Claude Skills let you bundle custom instructions and resources, but the real news is the sandboxed Linux environment that apparently ships with more capabilities than Anthropic bothered highlighting in the announcement. +++
"I feel like this whole "Skills" announcement really buried the lede. You also have a full on user\_data directory to instruct Claude to use as you wish. Not to mention that what's installed in Claude's sandbox goes beyond what you might expect. No internet connectivity, but the Python packages insta..."
💬 "Claude has a denial of reality which it is unable to get through"
• "Skills are dependent upon developers writing competent documentation…which most seemingly can't"
"Anthropic just dropped Haiku 4.5 and the numbers are wild:
**Performance:**
* 73.3% on SWE-bench Verified (matches Sonnet 4 from 5 months ago)
* 90% of Sonnet 4.5's agentic coding performance
* 2x faster than Sonnet 4
* 4-5x faster than Sonnet 4.5
**Pricing:**
* $1 input / $5 output per million ..."
💬 "Since western models and open-source models are on par for day to day usage, the prices for the open-source models should be compared too."
• "these numbers are pretty impressive especially the price point."
💬 "Divide and parallelize...8 ^ 4 toolcalls cover a very large code search space"
• "Context Engineering is Actually Very Important. Too important for humans and hardcoded rules"
via Arxiv👤 Xinchen Zhang, Xiaoying Zhang, Youbin Wu et al.📅 2025-10-15
⚡ Score: 8.1
"We introduce Generative Universal Verifier, a novel concept and plugin
designed for next-generation multimodal reasoning in vision-language models and
unified multimodal models, providing the fundamental capability of reflection
and refinement on visual outcomes during the reasoning and generation p..."
via Arxiv👤 Shrey Pandit, Austin Xu, Xuan-Phi Nguyen et al.📅 2025-10-15
⚡ Score: 7.9
"Large language model (LLM)-based reasoning systems have recently achieved
gold medal-level performance in the IMO 2025 competition, writing mathematical
proofs where, to receive full credit, each step must be not only correct but
also sufficiently supported. To train LLM-based reasoners in such chal..."
via Arxiv👤 Devvrit Khatri, Lovish Madaan, Rishabh Tiwari et al.📅 2025-10-15
⚡ Score: 7.8
"Reinforcement learning (RL) has become central to training large language
models (LLMs), yet the field lacks predictive scaling methodologies comparable
to those established for pre-training. Despite rapidly rising compute budgets,
there is no principled understanding of how to evaluate algorithmic..."
via Arxiv👤 Ravi Pandya, Madison Bland, Duy P. Nguyen et al.📅 2025-10-15
⚡ Score: 7.8
"Generative AI systems are increasingly assisting and acting on behalf of end
users in practical settings, from digital shopping assistants to
next-generation autonomous cars. In this context, safety is no longer about
blocking harmful content, but about preempting downstream hazards like
financial o..."
via Arxiv👤 Giovanni Monea, Yair Feldman, Shankar Padmanabhan et al.📅 2025-10-15
⚡ Score: 7.7
"The scalability of large language models for long-context reasoning is
severely constrained by the linear growth of their Transformer key-value cache,
which incurs significant memory and computational costs. We posit that as a
model generates reasoning tokens, the informational value of past generat..."
"**TL;DR:** Tool-call accuracy in LLMs can be significantly improved by using natural language instead of JSON-defined schemas (\~+18 percentage points across 6,400 trials and 10 models), while simultaneously reducing variance by 70% and token overhead by 31%. We introduce Natural Language Tools (NLT..."
💬 "structured outputs felt like a safe haven, although even then some of our more complex use cases surfaced examples where we still get json schema violations"
• "a hybrid system of sorts could get you the best of both worlds"
📡 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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via Arxiv👤 Yi Zhang, Bolin Ni, Xin-Sheng Chen et al.📅 2025-10-15
⚡ Score: 7.6
"Fully open multimodal large language models (MLLMs) currently lag behind
proprietary counterparts, primarily due to a significant gap in data quality
for supervised fine-tuning (SFT). Existing open-source datasets are often
plagued by widespread noise and a critical deficit in complex reasoning data..."
via Arxiv👤 Zhiqi Huang, Vivek Datla, Chenyang Zhu et al.📅 2025-10-15
⚡ Score: 7.6
"We propose a method for confidence estimation in retrieval-augmented
generation (RAG) systems that aligns closely with the correctness of large
language model (LLM) outputs. Confidence estimation is especially critical in
high-stakes domains such as finance and healthcare, where the cost of an
incor..."
via Arxiv👤 Yuxiang Huang, Chaojun Xiao, Xu Han et al.📅 2025-10-15
⚡ Score: 7.6
"Trainable sparse attention has emerged as a promising solution to address the
decoding efficiency bottleneck of LLMs in long-context processing,
significantly saving memory accesses while minimally impacting task
performance. However, existing sparse attention methods leave a crucial
limitation unre..."
💬 "You can waste years waiting for it to collapse, 95% of the time, it never will."
• "If I can get 90% of the functionality for significantly less, what value does OpenAI have?"
🛠️ SHOW HN
MCP Integration Projects
2x SOURCES 🌐📅 2025-10-16
⚡ Score: 7.5
+++ Developers are wrapping Playwright and Chromium into Claude's Model Context Protocol, letting AI actually watch tests run instead of just hallucinating they worked. It's the "show your work" moment the AI testing space desperately needed. +++
💬 "i vibe coded an HN clone in nextjs using this mcp server + claude code under 5 mins"
• "unlike chrome-devtools-mcp which starts a fresh headless instance each time"
+++ Turns out llamacpp's RPC mode works if you have a $200k home lab and patience; prompt processing speedups are real, but so is the electricity bill and your spouse's questions. +++
"Hello guys, hoping you're having a good day.
As you know, llamacpp has RPC since time ago.
I have 2 PCs in my home:
My "Server":
* AM5 MSI X670E Carbon
* AMD Ryzen 9 9900X
* 192GB DDR5 6000Mhz CL32
* 7 GPUs
* 5090x2
* 4090x2
* A6000
* 3090x2
* MCX314A-BCCT 40Gbps NIC (totally overkil..."
💬 "RPC is not without loss. Even if the RPC device is set inside the same machine, you will be losing performance compared to no RPC."
• "That's a really interesting and clever hardware configuration!"
"External link discussion - see full content at original source."
💬 Reddit Discussion: 173 comments
😐 MID OR MIXED
🎯 Political obstruction • Renewable capacity gap • Anti-wind irrationality
💬 "Clearly not a question of feasibility but political will"
• "They're cancelling offshore wind projects literally just because the president doesn't like them"
via Arxiv👤 Xinyi Chen, Yilun Chen, Yanwei Fu et al.📅 2025-10-15
⚡ Score: 7.1
"We introduce InternVLA-M1, a unified framework for spatial grounding and
robot control that advances instruction-following robots toward scalable,
general-purpose intelligence. Its core idea is spatially guided
vision-language-action training, where spatial grounding serves as the critical
link betw..."
via Arxiv👤 Run Luo, Xiaobo Xia, Lu Wang et al.📅 2025-10-15
⚡ Score: 7.0
"Next-generation multimodal foundation models capable of any-to-any
cross-modal generation and multi-turn interaction will serve as core components
of artificial general intelligence systems, playing a pivotal role in
human-machine interaction. However, most existing multimodal models remain
constrai..."
via Arxiv👤 Senyu Fei, Siyin Wang, Junhao Shi et al.📅 2025-10-15
⚡ Score: 6.9
"Visual-Language-Action (VLA) models report impressive success rates on
robotic manipulation benchmarks, yet these results may mask fundamental
weaknesses in robustness. We perform a systematic vulnerability analysis by
introducing controlled perturbations across seven dimensions: objects layout,
cam..."
via Arxiv👤 Xingyu Tan, Xiaoyang Wang, Xiwei Xu et al.📅 2025-10-15
⚡ Score: 6.8
"Large Language Models (LLMs) have achieved impressive reasoning abilities,
but struggle with temporal understanding, especially when questions involve
multiple entities, compound operators, and evolving event sequences. Temporal
Knowledge Graphs (TKGs), which capture vast amounts of temporal facts i..."
via Arxiv👤 Xiuyuan Chen, Tao Sun, Dexin Su et al.📅 2025-10-15
⚡ Score: 6.8
"Current benchmarks for AI clinician systems, often based on multiple-choice
exams or manual rubrics, fail to capture the depth, robustness, and safety
required for real-world clinical practice. To address this, we introduce the
GAPS framework, a multidimensional paradigm for evaluating \textbf{G}rou..."
+++ Anthropic's Playwright MCP integration lets Claude actually control real browsers instead of hallucinating test scripts, which is either a major productivity leap or proof we've been doing this wrong the whole time. +++
"I’ve been messing around with the new Playwright MCP inside Claude Code and it’s honestly wild.
It doesn’t just simulate tests or spit out scripts — it actually opens a live Chromium browser that you can watch while it runs your flow.
I set it up to test my full onboarding process:
signup → ver..."
💬 "Playwright MCP feels smoother for full test runs, while Chrome's is better if you're digging into what's actually happening under the hood"
• "I can go from design to tested implementation reliably with 1 prompt"
via Arxiv👤 Santiago Cuervo, Skyler Seto, Maureen de Seyssel et al.📅 2025-10-15
⚡ Score: 6.7
"Large Language Models (LLMs) can be adapted to extend their text capabilities
to speech inputs. However, these speech-adapted LLMs consistently underperform
their text-based counterparts--and even cascaded pipelines--on language
understanding tasks. We term this shortfall the text-speech understandi..."
via Arxiv👤 Shuyu Wu, Ziqiao Ma, Xiaoxi Luo et al.📅 2025-10-15
⚡ Score: 6.6
"Symbol grounding (Harnad, 1990) describes how symbols such as words acquire
their meanings by connecting to real-world sensorimotor experiences. Recent
work has shown preliminary evidence that grounding may emerge in
(vision-)language models trained at scale without using explicit grounding
objectiv..."
via Arxiv👤 Ziqing Lu, Lifeng Lai, Weiyu Xu📅 2025-10-15
⚡ Score: 6.6
"Reinforcement learning (RL) for the Markov Decision Process (MDP) has emerged
in many security-related applications, such as autonomous driving, financial
decisions, and drone/robot algorithms. In order to improve the
robustness/defense of RL systems against adversaries, studying various
adversarial..."
via Arxiv👤 Thomas van Vuren, Fiona Sloothaak, Maarten G. Wolf et al.📅 2025-10-15
⚡ Score: 6.5
"The curse of dimensionality renders Reinforcement Learning (RL) impractical
in many real-world settings with exponentially large state and action spaces.
Yet, many environments exhibit exploitable structure that can accelerate
learning. To formalize this idea, we study RL in Block Markov Decision
Pr..."
via Arxiv👤 Yinxi Li, Yuntian Deng, Pengyu Nie📅 2025-10-16
⚡ Score: 6.5
"Large language models (LLMs) for code rely on subword tokenizers, such as
byte-pair encoding (BPE), learned from mixed natural language text and
programming language code but driven by statistics rather than grammar. As a
result, semantically identical code snippets can be tokenized differently
depe..."
"Meta just published MobileLLM-Pro, a new 1B parameter foundational language model (pre-trained and instruction fine-tuned) on Huggingface
https://huggingface.co/facebook/MobileLLM-Pro
The model seems to outperform Gemma 3-1B and Llama 3-1B by quite ..."
💬 Reddit Discussion: 54 comments
👍 LOWKEY SLAPS
🎯 AI model comparison • Question quality matters • Small model limitations
💬 "garbage in, garbage out"
• "best have a different doctor treat the child"
via Arxiv👤 Evan Ellis, Vivek Myers, Jens Tuyls et al.📅 2025-10-15
⚡ Score: 6.5
"Assistive agents should not only take actions on behalf of a human, but also
step out of the way and cede control when there are important decisions to be
made. However, current methods for building assistive agents, whether via
mimicking expert humans or via RL finetuning on an inferred reward, oft..."
via Arxiv👤 Aditya Tanikanti, Benoit Côté, Yanfei Guo et al.📅 2025-10-15
⚡ Score: 6.4
"We present the Federated Inference Resource Scheduling Toolkit (FIRST), a
framework enabling Inference-as-a-Service across distributed High-Performance
Computing (HPC) clusters. FIRST provides cloud-like access to diverse AI
models, like Large Language Models (LLMs), on existing HPC infrastructure...."
via Arxiv👤 Ivan Vykopal, Matúš Pikuliak, Simon Ostermann et al.📅 2025-10-15
⚡ Score: 6.4
"Chat assistants increasingly integrate web search functionality, enabling
them to retrieve and cite external sources. While this promises more reliable
answers, it also raises the risk of amplifying misinformation from
low-credibility sources. In this paper, we introduce a novel methodology for
eval..."
via Arxiv👤 Nir Goren, Oren Katzir, Abhinav Nakarmi et al.📅 2025-10-15
⚡ Score: 6.3
"With the rapid adoption of diffusion models for visual content generation,
proving authorship and protecting copyright have become critical. This
challenge is particularly important when model owners keep their models private
and may be unwilling or unable to handle authorship issues, making third-p..."
"MoE partial offload, i.e. keeping experts on CPU and the context, attention, etc on GPU, has two benefits:
- The non-sparse data is kept on fast VRAM
- Everything needed to handle context computations is on GPU
For dense models the first point is fairly irrelevant since, well, it's all dense so ho..."
💬 "Really wish a technique would come out to reduce it to 12 GB or less for the large frontier models without quality loss"
• "The interesting arguments are the `-ctk q8_0 -ctv q8_0 -fa 1 -ngl 99` and those should also apply to llama-server"
via Arxiv👤 Mustafa Munir, Alex Zhang, Radu Marculescu📅 2025-10-15
⚡ Score: 6.3
"Vision graph neural networks (ViG) have demonstrated promise in vision tasks
as a competitive alternative to conventional convolutional neural nets (CNN)
and transformers (ViTs); however, common graph construction methods, such as
k-nearest neighbor (KNN), can be expensive on larger images. While me..."
"*Disclaimer: I work for* *Inference.net**, creator of the Schematron model family*
Hey everyone, wanted to share something we've been working on at Inference.net: Schematron, a family of small models for web extraction.
Our goal was to make a small, fast model for taking HT..."
💬 Reddit Discussion: 46 comments
🐝 BUZZING
🎯 Web scraping automation • LLM model applications • Tool trade-offs
💬 "simple and cheap agnostic solution that just receives html and outputs nice json"
• "This works for any schema on any page"
"Hey `r/LocalLLaMA`! We just released this in beta and would love to get your feedback.
Here: https://github.com/ggml-org/LlamaBarn
What it does:
- Download models from a curated catalog
- Run models with one click — it auto-configures them for your system
- Built-in web UI and REST API (via `llama..."
💬 "Now they are pretty close — often llama.cpp being faster, sometimes MLX"
• "It's great, now make it use an MLX backend, which is usually quite a bit faster on Mac"
via Arxiv👤 Elena Golimblevskaia, Aakriti Jain, Bruno Puri et al.📅 2025-10-16
⚡ Score: 6.1
"The fields of explainable AI and mechanistic interpretability aim to uncover
the internal structure of neural networks, with circuit discovery as a central
tool for understanding model computations. Existing approaches, however, rely
on manual inspection and remain limited to toy tasks. Automated
in..."
via Arxiv👤 Dan Jacobellis, Mateen Ulhaq, Fabien Racapé et al.📅 2025-10-15
⚡ Score: 6.1
"Remote inference allows lightweight devices to leverage powerful cloud
models. However, communication network latency makes predictions stale and
unsuitable for real-time tasks. To address this, we introduce Dedelayed, a
delay-corrective method that mitigates arbitrary remote inference delays,
allow..."