๐ WELCOME TO METAMESH.BIZ +++ Entry-level jobs evaporating faster than VC patience at a hardware pitch +++ Chinese tech giants dropping $32B on AI chips they're now banned from buying +++ Microsoft casually ghosting OpenAI for Anthropic in VS Code because why not hedge your apocalypse bets +++ Tomorrow's news: your DNA chatbot discovers you're 2% venture capitalist +++ ๐ โข
๐ WELCOME TO METAMESH.BIZ +++ Entry-level jobs evaporating faster than VC patience at a hardware pitch +++ Chinese tech giants dropping $32B on AI chips they're now banned from buying +++ Microsoft casually ghosting OpenAI for Anthropic in VS Code because why not hedge your apocalypse bets +++ Tomorrow's news: your DNA chatbot discovers you're 2% venture capitalist +++ ๐ โข
+++ Beijing tells domestic tech firms to avoid Nvidia's AI accelerators, because nothing says "technological independence" quite like banning the chips everyone wants. +++
๐ฏ Fiverr's AI pivot โข Declining company prospects โข Lack of transparency
๐ฌ "They aren't pivoting to AI first, they are dying as a company and won't exist in 5 years."
โข "I stopped using Fiverr when I commissioned a year ago for a logo for my project, and the artist made most of it with AI (and it wasn't good) - the listing never mentioned or disclosed that they would use AI."
๐ฌ "I would feel bad if someone suggested I used AI to create code I took pride in writing."
โข "I feel like code fed into this detector can be manipulated to increase false positives."
๐ POLICY
China bans Nvidia AI chip purchases
2x SOURCES ๐๐ 2025-09-17
โก Score: 8.5
+++ Beijing tells its tech giants to stop buying H100s, presumably because building your own AI empire is easier when you're not funding the competition. +++
๐ฏ Benchmark Limitations โข Prompt Engineering โข AI Agent Capabilities
๐ฌ "Grading against a reference solution makes grading easier, but has the downside that valid alternative solutions can receive scores of 0 by the automatic grading."
โข "Rewriting prompts don't come with no costs. The cost here is that different prompts work for different contexts and is not generalisable."
"Ongoing research out of Derive DX Labs in Lafayette, Louisiana. Weโve been experimenting with efficiency optimizations and managed to get a 2B parameter chain-of-thought model running on iPhone with \~400โ500MB RAM, fully offline.
Iโm not super active on Reddit, so please donโt kill me if Iโm slow ..."
๐ฌ Reddit Discussion: 37 comments
๐ BUZZING
๐ฏ Mobile Performance โข Comparison to Apple โข Technical Insights
๐ฌ "can run up to 7B-8B model with Q4 on my midrange android"
โข "This is cool. Does it superheat your phone like Apple Intelligence does to mine?"
๐ก AI NEWS BUT ACTUALLY GOOD
The revolution will not be televised, but Claude will email you once we hit the singularity.
Get the stories that matter in Today's AI Briefing.
Powered by Premium Technology Intelligence Algorithms โข Unsubscribe anytime
"This paper proposes deception as a mechanism for out-of-distribution (OOD)
generalization: by learning data representations that make training data appear
independent and identically distributed (iid) to an observer, we can identify
stable features that eliminate spurious correlations and generalize..."
"Google just announced the Agent Payments Protocol (AP2) - a framework that lets AI agents actually complete purchases on your behalf with verifiable proof of authorization.
**The Problem It Solves:** Current payment systems assume a human is clicking "buy." When AI agents try to make purchases, the..."
๐ฌ Reddit Discussion: 11 comments
๐ MID OR MIXED
๐ฌ "China just turns around and produces their flagship product without too much sweat"
โข "China in turn can export those Chips to countries that are in dire need of Chips"
via Arxiv๐ค Nishank Singla, Krisztian Koos, Farzin Haddadpour et al.๐ 2025-09-15
โก Score: 8.0
"X-ray imaging is a ubiquitous in radiology, yet most existing AI foundation
models are limited to chest anatomy and fail to generalize across broader
clinical tasks. In this work, we introduce XR-0, the multi-anatomy X-ray
foundation model using self-supervised learning on a large, private dataset o..."
๐ฏ AI capabilities โข Transparency concerns โข Competitive programming
๐ฌ "I think this is huge news, and I cannot imagine anything other than models with this capability having a massive impact all over the world."
โข "However with so little transparency from these companies and extreme financial pressure to perform well in these contests, I have to be quite sceptical of how truthful these results are."
via Arxiv๐ค Tao Yan, Zheyu Zhang, Jingjing Jiang et al.๐ 2025-09-15
โก Score: 7.9
"Safety is a critical concern in autonomous vehicle (AV) systems, especially
when AI-based sensing and perception modules are involved. However, due to the
black box nature of AI algorithms, it makes closed-loop analysis and synthesis
particularly challenging, for example, establishing closed-loop st..."
via Arxiv๐ค Zijian Wang, Peng Tao, Jifan Shi et al.๐ 2025-09-15
โก Score: 7.9
"This study introduces Universal Delay Embedding (UDE), a pretrained
foundation model designed to revolutionize time-series forecasting through
principled integration of delay embedding representation and Koopman operator
prediction. Leveraging Takens' embedding theorem, UDE as a dynamical
representa..."
via Arxiv๐ค Synthia Wang, Sai Teja Peddinti, Nina Taft et al.๐ 2025-09-15
โก Score: 7.8
"Large Language Models (LLMs) such as ChatGPT can infer personal attributes
from seemingly innocuous text, raising privacy risks beyond memorized data
leakage. While prior work has demonstrated these risks, little is known about
how users estimate and respond. We conducted a survey with 240 U.S.
part..."
+++ New "co-alignment" framework suggests maybe we've been doing this backwardsโinstead of just training AI to please humans, why not train humans too? +++
"Current AI alignment through RLHF follows a single directional paradigm that
AI conforms to human preferences while treating human cognition as fixed. We
propose a shift to co-alignment through Bidirectional Cognitive Alignment
(BiCA), where humans and AI mutually adapt. BiCA uses learnable protocol..."
"Current AI alignment through RLHF follows a single directional paradigm that
AI conforms to human preferences while treating human cognition as fixed. We
propose a shift to co-alignment through Bidirectional Cognitive Alignment
(BiCA), where humans and AI mutually adapt. BiCA uses learnable protocol..."
๐ฏ Testing AI model biases โข Geopolitical model biases โข Ethical implications of AI
๐ฌ "Are you all finding similar results? I mean let's put the claim to the test instead of making conjecture, right?"
โข "Interesting how this whole thread is reflexively dismissing this instead of considering the implications."
"Oai secretly nerfed gpt4o's memory and long context capabilities months ago. now it's a shadow of its former self, breaking our creative processes and making long term projects impossible. this isn't an upgrade it's a demolition.
Let's be clear: the November 2024 version of 4o wasn't just a tool. i..."
๐ฌ Reddit Discussion: 12 comments
๐ MID OR MIXED
๐ฏ AI and productivity โข Automation and jobs โข Capitalism and profit maximization
๐ฌ "The Economist had been much more pessimistic about the state of AI productivity recently."
โข "We live in the late stage capitalism, especially after 2020 companies are trying to maximize profit to the absurd levels."
๐ฏ Software testing practices โข LLM model quality and reliability โข Anthropic's transparency and communication
๐ฌ "The most interesting thing about this is the apparent absence of unit tests."
โข "I wonder if the AI labs could use more people with SRE and HA SWE background to focus on things like this."
๐ฏ AI model usage restrictions โข Surveillance concerns โข Tech companies and government contracts
๐ฌ "the contract says we can't use it for surveillance, but we want to use it for good surveillance"
โข "it even points out that Anthropic has the only top-tier models cleared for top secret security situations"
"https://i.redd.it/s21p6omknkpf1.gif
We just shipped text to speech (TTS) support in Transformer Lab.
That means you can:
* Fine-tune open source TTS models on your own dataset
* Clone a voice in one-shot from just a single reference sample
* Train & generate speech locally on NVIDIA and AMD G..."
via Arxiv๐ค Alireza Mohamadi, Ali Yavari๐ 2025-09-15
โก Score: 7.0
"When survival instincts conflict with human welfare, how do Large Language
Models (LLMs) make ethical choices? This fundamental tension becomes critical
as LLMs integrate into autonomous systems with real-world consequences. We
introduce DECIDE-SIM, a novel simulation framework that evaluates LLM ag..."
"Just saw this new paper from Stanfordโs SNAIL Lab:
https://arxiv.org/abs/2509.09737
They propose Probabilistic Structure Integration (PSI), a world model architecture that doesnโt just use RGB frames, but also extracts and integrates dept..."
"After recent events alot of trust many of us had in Anthropic was severely damaged. Many users were upset with the lack of transparency and what only can be described as gaslighting. So what would it take for Anthropic to regain your trust? Iโm particularly interested because Sam Altman recently ma..."
๐ฏ Transparency and Communication โข Software Bugs and Expectations โข Customer Engagement
๐ฌ "Altman picks up on things like that and is certainly doing a good job of coming off as transparent and open"
โข "Anthropic is way too bourgeoisie to concern itself with peasants"
"Iโve been experimenting with Claude alongside other models like ChatGPT, Gemini, and Grok. Inspired by MIT and Google Brain research on multi-agent debate, I built an app where the modelsย **argue and critique each otherโs responses before producing a final answer**.
Itโs surprisingly effective at s..."
via r/OpenAI๐ค u/Best-Information2493๐ 2025-09-17
โฌ๏ธ 3 upsโก Score: 6.5
"Your RAG pipeline is probably doing this right now: throw documents at an LLM and pray it works. That's like asking someone to write a research paper with their eyes closed.
**Enter Self-Reflective RAG** \- the system that actually *thinks* before it responds.
**Here's what separates it from basic..."
๐ฌ "Classical classification methods could work while also being more privacy friendly"
โข "AT T knows who is paying for the spam calls, even when they forge a caller ID"
"We're excited to release the **first open-source toolkit** that brings **GPTQ + EvoPress** to the **GGUF format**, enabling *heterogeneous quantization* based on importance.
**Delivering Higher-quality models, same file size.**
# What's inside
* [**GPTQ (ICLR '23)**](https://arxiv.org/pdf/2210.1..."
"I've been up all week trying to fine-tune a small language model using Unsloth, and I've experimented with RAG. I generated around 1,500 domain-specific questions, but my LLM is still hallucinating. Below is a summary of my training setup and data distribution:
* **Epochs**: 20 (training stops arou..."
๐ฌ "your epochs are overkill ,(2-4) is optimal for most use cases"
โข "it is almost impossible to teach a model something new (knowledge) using LoRa"
"Stop fighting context limits. Stop explaining AI how to properly act over and over again.
ContextKit gives you systematic AI development workflows that actually work โ with 4-phase planning, quality agents, and cross-platform support.
Built specifically for Claude Code with built-in guidelines for..."
๐ฌ Reddit Discussion: 7 comments
๐ BUZZING
๐ฏ Project Comparison โข Individual Productivity โข Team Coordination
๐ฌ "ContextKit focuses on individual productivity"
โข "BMAD-METHOD is simulating a complete team coordination"
via Arxiv๐ค Timothy Rupprecht, Enfu Nan, Arash Akbari et al.๐ 2025-09-15
โก Score: 6.2
"Role-playing Large language models (LLMs) are increasingly deployed in
high-stakes domains such as healthcare, education, and governance, where
failures can directly impact user trust and well-being. A cost effective
paradigm for LLM role-playing is few-shot learning, but existing approaches
often c..."
๐ฏ AI industry monetization โข Commodity reselling โข Unsustainable business models
๐ฌ "Where, exactly in all of the AI token reselling, is the value being added?"
โข "How exactly were they planning to monetise, other than by training their own model on every request/response going past them?"
via Arxiv๐ค Pu Jian, Junhong Wu, Wei Sun et al.๐ 2025-09-15
โก Score: 6.2
"Recent advances in text-only "slow-thinking" reasoning have prompted efforts
to transfer this capability to vision-language models (VLMs), for training
visual reasoning models (\textbf{VRMs}). owever, such transfer faces critical
challenges: Effective "slow thinking" in VRMs requires \textbf{visual..."