📚 HISTORICAL ARCHIVE - October 09, 2025
What was happening in AI on 2025-10-09
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Archive from: 2025-10-09 | Preserved for posterity ⚡
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🔒 SECURITY
🎯 Propaganda in AI • Poisoning large language models • Challenges of mitigating disinformation
💬 "As soon as any community becomes sufficiently large, it also becomes worth while investing in efforts to subvert mindshare towards third party aims."
• "This makes me think that Anthropic might be injecting a variety of experiments into the training data for research projects like this."
🛠️ TOOLS
"Claude Code now supports plugins: custom collections of slash commands, agents, MCP servers, and hooks that install with a single command.
To get started, you can add a marketplace using: `/plugin marketplace add user-or-org/repo-name`.
Then browse and install from the `/plugin` menu.
Try out the..."
🎯 Usage limits • Inability to use • Frustration with limits
💬 "Worst $100 I ever spent."
• "what a fantastic feature I'll never be able to use"
🔬 RESEARCH
"**Less is More: Recursive Reasoning with Tiny Network**s, from Samsung Montréal by Alexia Jolicoeur-Martineau, shows how a **7M-parameter Tiny Recursive Model (TRM)** outperforms trillion-parameter LLMs on hard reasoning benchmarks. TRM learns by **recursively refining its own answers** using two in..."
🎯 Recursion as key to intelligence • Latent knowledge and reasoning • Model scaling and optimization
💬 "Recursion is key!"
• "Intelligence probably includes some latent knowledge"
💰 FUNDING
🎯 Corporate hype • Circular deals • AI bubble
💬 "An oil prospector, moving to his heavenly reward, was met by St. Peter with bad news."
• "Even hardware companies are offering rubbish for the sake of prop'ing up their own valuation."
🤖 AI MODELS
🎯 Humanoid robot design • AI and data challenges • Adoption and deployment
💬 "Wireless charging has no benefit here at all"
• "The hardest problem of creating a universal robot is, and always has been, AI"
🤖 AI MODELS
🎯 LLM limitations • Coping with LLM mistakes • Importance of trust
💬 "Generally when I'd paste the code to an LLM and ask why it doesn't work it would assert the old code was indeed flawed, and my change needed to be done in X manner instead."
• "The fact it is able to work within such constraints goes to show how much potential there is."
💰 FUNDING
"Late interaction models perform shockingly well with small models. Use this method to build small domain-specific models for retrieval and more.
Collection: [
https://huggingface.co/collections/NeuML/colbert-68cb248ce424a6d6d8277451](
https://huggingface.co/collections/NeuML/colbert-68cb248ce424a6d6d..."
🎯 Specialized language models • On-device applications • Finetuning for retrieval
💬 "These models are used generate multi-vector embeddings for retrieval."
• "On device retrieval, CPU only retrieval, running on smaller servers and small form factor machines are all possible use cases."
🔬 RESEARCH
via Arxiv
👤 Albert Catalan-Tatjer, Niccolò Ajroldi, Jonas Geiping
📅 2025-10-07
⚡ Score: 8.0
"While post-training quantization is widely adopted for efficient deployment
of large language models, the mechanisms underlying quantization robustness
remain unclear. We conduct a comprehensive analysis of quantization degradation
across open-source language model training trajectories up to 32B pa..."
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🔬 RESEARCH
via Arxiv
👤 Dingyu Yao, Chenxu Yang, Zhengyang Tong et al.
📅 2025-10-07
⚡ Score: 7.6
"The Key-Value (KV) cache introduces substantial memory overhead during large
language model (LLM) inference. Although existing vector quantization (VQ)
methods reduce KV cache usage and provide flexible representational capacity
across bit-widths, they suffer severe performance degradation at ultra-..."
🔒 SECURITY
"# The elephant in the room with AI web agents: How do you deal with bot detection?
With all the hype around "computer use" agents (Claude, GPT-4V, etc.) that can navigate websites and complete tasks, I'm surprised there isn't more discussion about a fundamental problem: **every real website has sop..."
🎯 Bot detection • AI agent deployment • Real-world testing
💬 "Dealing with bot detection is definitely one of the trickiest challenges"
• "Incorporating 'avoid detection' as part of your reward function is an interesting approach"
🔬 RESEARCH
via Arxiv
👤 Kurt Butler, Guanchao Feng, Petar Djuric
📅 2025-10-07
⚡ Score: 7.0
"Feature attributions are post-training analysis methods that assess how
various input features of a machine learning model contribute to an output
prediction. Their interpretation is straightforward when features act
independently, but becomes less direct when the predictive model involves
interacti..."
🤖 AI MODELS
"My team’s realizing we don’t need a billion-parameter model to solve our actual problem, a smaller custom model works faster and cheaper. But there’s so much hype around bigger is better. Curious what others are using for production cases."
👁️ COMPUTER VISION
"Hey everyone
I’m working on a project where I need to **extract product information from consumer goods** (name, weight, brand, flavor, etc.) **from real-world photos**, not scans.
The images come with several challenges:
* **angle variations**,
* **light reflections and glare**,
* **curved or p..."
🛠️ TOOLS
"The older, more function-specific modes like "Edit" and "Composer" are being encapsulated and moved to a lower level.
Now, there are only three modes left:
https://preview.redd.it/2xm7itrnzztf1.png?width=334&format=png&auto=webp&s=77904a3a461c1ff572cb978d96d4925b395692f4
From **Agent ..."
🔬 RESEARCH
via Arxiv
👤 Chenxiao Yang, Cai Zhou, David Wipf et al.
📅 2025-10-07
⚡ Score: 6.8
"This paper formally studies generation processes, including auto-regressive
next-token prediction and masked diffusion, that abstract beyond architectural
specifics. At this level of abstraction, we quantify their benefits and
limitations through measurable criteria such as computational hardness an..."
🔬 RESEARCH
via Arxiv
👤 Gagan Bhatia, Somayajulu G Sripada, Kevin Allan et al.
📅 2025-10-07
⚡ Score: 6.8
"Large Language Models (LLMs) are prone to hallucination, the generation of
plausible yet factually incorrect statements. This work investigates the
intrinsic, architectural origins of this failure mode through three primary
contributions.First, to enable the reliable tracing of internal semantic
fai..."
🔬 RESEARCH
via Arxiv
👤 Audrey Cheng, Shu Liu, Melissa Pan et al.
📅 2025-10-07
⚡ Score: 6.8
"Artificial Intelligence (AI) is starting to transform the research process as
we know it by automating the discovery of new solutions. Given a task, the
typical AI-driven approach is (i) to generate a set of diverse solutions, and
then (ii) to verify these solutions and select one that solves the pr..."
🔬 RESEARCH
🎯 Wall clock training time • Abstraction and flexibility • Model updates and improvements
💬 "Did the difference in wall clock training time take the reduction in cold start time into account?"
• "higher abstraction than Tinker, more flexible than OpenAI RFT"
🔬 RESEARCH
via Arxiv
👤 Jiaru Zou, Soumya Roy, Vinay Kumar Verma et al.
📅 2025-10-07
⚡ Score: 6.6
"Process Reward Models (PRMs) have recently emerged as a powerful framework
for enhancing the reasoning capabilities of large reasoning models (LRMs),
particularly in the context of test-time scaling (TTS). However, their
potential for supervising LRMs on tabular reasoning domains remains
underexplor..."
🔄 OPEN SOURCE
"It seems like open source LLM's are always one step behind closed-source companies. The question here is, is there a possibility for open-weight LLM's to overtake these companies?
Claude, Grok, ChatGPT and other's have billions of dollars in investments yet we saw the leaps DeepSeek was capable of."
🎯 LLM Relative Strength • Model Capability Comparison • Open vs Closed Source
💬 "It removes subjective 'style' preferences and focuses purely on capability"
• "The performance gap has effectively closed for the majority of the top models"
🔒 SECURITY
"# The elephant in the room with AI web agents: How do you deal with bot detection?
With all the hype around "computer use" agents (Claude, GPT-4V, etc.) that can navigate websites and complete tasks, I'm surprised there isn't more discussion about a fundamental problem: **every real website has sop..."
🔬 RESEARCH
via Arxiv
👤 Jan Cegin, Branislav Pecher, Ivan Srba et al.
📅 2025-10-07
⚡ Score: 6.3
"LLMs are powerful generators of synthetic data, which are used for training
smaller, specific models. This is especially valuable for low-resource
languages, where human-labelled data is scarce but LLMs can still produce
high-quality text. However, LLMs differ in how useful their outputs are for
tra..."
🛠️ TOOLS
"I hadn't tried running LLMs on my laptop until today. I thought CPUs were too slow and getting the old igpu working (AMD 4650U, so Vega something) would be driver hell. So I never bothered.
On a lark, I downloaded LM Studio, downloaded Qwen3 4b q4, and I was getting 5 tok/sec generation with no has..."
🎯 Local AI models • AI software comparisons • Optimizing hardware for LLMs
💬 "Everyone and their grandma should be running local LLMs at this rate."
• "For a bit smaller try the GPT-OSS 20B. Both run at useable speeds on CPU only."
🔬 RESEARCH
via Arxiv
👤 Kangyu Wang, Zhiyun Jiang, Haibo Feng et al.
📅 2025-10-07
⚡ Score: 6.3
"Diffusion large language models (dLLMs) generate text through iterative
denoising steps, achieving parallel decoding by denoising only high-confidence
positions at each step. However, existing approaches often repetitively remask
tokens due to initially low confidence scores, leading to redundant it..."
🔬 RESEARCH
via Arxiv
👤 Mingkang Zhu, Xi Chen, Bei Yu et al.
📅 2025-10-07
⚡ Score: 6.3
"Large language model (LLM) agents increasingly rely on external tools such as
search engines to solve complex, multi-step problems, and reinforcement
learning (RL) has become a key paradigm for training them. However, the
trajectories of search agents are structurally heterogeneous, where variations..."
🔬 RESEARCH
via Arxiv
👤 Aju Ani Justus, Chris Baber
📅 2025-10-07
⚡ Score: 6.3
"A critical challenge in modelling Heterogeneous-Agent Teams is training
agents to collaborate with teammates whose policies are inaccessible or
non-stationary, such as humans. Traditional approaches rely on expensive
human-in-the-loop data, which limits scalability. We propose using Large
Language M..."
🏢 BUSINESS
"It’s wild to think how normal using ChatGPT has become in less than 3 years.
It’s now the **#5 most visited website on the planet**, ahead of Reddit, Wikipedia, and Twitter, with 5.8 billion monthly visits.
More than 60% of users are under 35, and it still holds an 81% share of the AI market.
..."
🎯 Usage Statistics • Environmental Impact • Performance Concerns
💬 "800m users" means accounts or unique people?"
• "The environment they are damaging is finite"
🔬 RESEARCH
via Arxiv
👤 Yen-Ju Lu, Yashesh Gaur, Wei Zhou et al.
📅 2025-10-07
⚡ Score: 6.1
"Auto-regressive speech-text models are typically pre-trained on a large
number of interleaved sequences of text tokens and raw speech encoded as speech
tokens using vector quantization. These models have demonstrated
state-of-the-art performance in speech-to-speech understanding and generation
bench..."
🛠️ TOOLS
🎯 Comparing OpenAI to historical tech moments • Evaluating hype and progress in new tech • Pornographic applications as measure of success
💬 "If it's that revolutionary, the tech should stand on its own two feet."
• "Not to be a perv but it's just not on the level of the WWW until it unlocks a novel way to deliver porn."