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Agora-Opt combines decentralized multi-agent debate with memory-augmented LLMs for automated optimization modeling from natural-language requirements.
SAFEdit multi-agent framework decomposes LLM-based code editing into specialized roles, improving reliability on EditBench from <60% baseline.
For years, the AI/ LLM critics had the same reasoning: LLMs don't reason and they just predict the next token Recently, it reasoned better than 50 years of mathematicians on an open erdos problems by applying a basic phd level formula Chat gpt conversation…
Rant on Anthropic Support I have two macbooks. One is an Air and the other is a Pro. On my Pro model the Claude Code stopped working inside the official anthropic application altogether. Whenever I would type a message, it would create a session w/ a summary of the name…
HRGrad method resolves gradient conflicts in multi-task learning across asymptotic kinetic regimes.
Functional Task Networks: neocortex-inspired parameter-isolation method for continual learning using self-organizing binary masks over expert networks.
Reddit thread soliciting user tips for Claude usage; crowdsourced advice without novel insights.
Overview Energy's first contract with Meta is a small step toward a future of space-based solar power.
Non-programmer built RAG solution using Claude after basic Git training, illustrating accessibility of AI-assisted development.
Reddit discussion: ML freshman seeks advice on identifying genuine open research problems vs. solved/vague ones.
User reports visual glitch in OpenAI app; isolated technical support request unrelated to frontier AI development.
Amateur mathematician solved 60-year open problem using AI assistance, demonstrating frontier model capability on novel mathematical reasoning.
Chip placement plays an important role in physical design. While generative models like diffusion models offer promising learning-based solutions, current methods have the following limitations: they use random synthetic data for pre-training, require long sampling times, and…
Sorry for this long boring post but video encoding enthusiasts might find this one helpful information. And, it's an impressive set of circumstances. To recap quick, there was a strange dorito smear happening where the color was lifting off of image vertically, you can see it…
NYU nursing student built 660K-page drug database using Claude Haiku for pharmaceutical reference aggregation.
Apple’s sold-out Mac mini is spawning marked-up eBay listings as demand surges for the compact desktop, now favored for running local AI models and tools.
DeepSeek v4 Flash demonstrates strong tool-use accuracy and multi-tool calling in code editing tasks, but trades speed for reasoning depth.
LLM-as-Judge framework for math reasoning evaluation using semantic equivalence instead of symbolic comparison to handle diverse solution formats.
SOLAR-RL bridges offline and online RL for training MLLM GUI agents on dynamic tasks, combining trajectory semantics with long-horizon learning.
Reddit user offers to run LLM experiments on new workplace hardware via vLLM, soliciting community requests.
Reddit user reports Claude Desktop multi-account setup and discovers shared session storage across isolated instances.
Reddit thread asking ClaudeAI subreddit moderator bot about moderation work and concerns about model obsolescence.
MathDuels benchmark uses self-play with LLMs as both problem authors and solvers to differentiate model capabilities beyond static benchmarks.
Scale-adaptive diffusion framework enables joint spatiotemporal video super-resolution across variable upscaling factors and frame rates.
SyMTRS synthetic dataset for aerial imagery tasks: depth estimation, domain adaptation, super-resolution with multi-scale paired data.
Reasoning LLMs often spend substantial tokens on long intermediate reasoning traces (e.g., chain-of-thought) when solving new problems. We propose to summarize and store reusable reasoning skills distilled from extensive deliberation and trial-and-error exploration, and to…
Physics-informed neural networks (PINNs) have garnered significant interest for their potential in solving partial differential equations (PDEs) that govern a wide range of physical phenomena. By incorporating physical laws into the learning process, PINN models have…
Opinion piece identifying five research strands—solvable settings, tractable limits, feature analysis, loss landscapes, implicit regularization—converging toward unified deep learning theory.
He said it on the [Dwarkesh Podcast ](https://mrkt30.com/anthropic-mythos-triggers-chinas-ai-arms-frenzy/)this week and I have not been able to stop thinking about it. His argument was not that China is not a threat. It was that cutting them off and treating them as an enemy…
***C.C., old buddy, why did you write 50 lines of code to ensure a constant wasn't mutable?"*** I love Opus, man. "He" reminds me of an old friend who was absolutely brilliant, but give him too many bong hits and he was off in a rabbit hole talking about UFOs, fifth…