@RecmacfonD RecmacfonD
RecmacfonD posts on Reddit about inference, cope, up to, meituan the most. They currently have undefined followers and [---] posts still getting attention that total [---] engagements in the last [--] hours.
Engagements: [---] #
- [--] Week [-----] +19%
- [--] Month [-----] -14%
- [--] Months [---------] -68%
- [--] Year [----------] -58%
Mentions: [--] #
- [--] Week [--] +31%
- [--] Month [--] -33%
- [--] Months [---] +22,900%
- [--] Year [---] +22,900%
Followers: undefined #
CreatorRank: [---------] #
Social Influence
Social category influence technology brands 10% finance 3%
Social topic influence inference 7%, cope #646, up to 5%, meituan #25, language 4%, ai 4%, agi 4%, llm 4%, golden goose #35, model 3%
Top Social Posts
Top posts by engagements in the last [--] hours
""Introducing LongCat-Flash-Thinking: A Technical Report" Meituan LongCat Team [----] mlscaling mlscaling"
Reddit Link 2025-11-12T20:52Z [--] followers, [--] engagements
""Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text" Lu et al. [----] mlscaling mlscaling"
Reddit Link 2026-02-04T17:30Z [--] followers, [--] engagements
""Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text" Lu et al. [----] AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-04T17:30Z [--] followers, [--] engagements
"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context LLMDevs LLMDevs"
Reddit Link 2026-02-13T16:15Z [--] followers, [--] engagements
""Scaling Embeddings Outperforms Scaling Experts in Language Models" Liu et al. [----] Meituan LongCat mlscaling mlscaling"
Reddit Link 2026-01-29T15:52Z [--] followers, [---] engagements
""ERNIE [---] Technical Report" ERNIE Team Baidu [----] mlscaling mlscaling"
Reddit Link 2026-02-09T14:36Z [--] followers, [--] engagements
""A.X K1 Technical Report" SK Telecom [----] mlscaling mlscaling"
Reddit Link 2026-02-09T12:45Z [--] followers, [--] engagements
""OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration" Wang et al. [----] mlscaling mlscaling"
Reddit Link 2026-02-11T19:47Z [--] followers, [--] engagements
"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context deeplearning deeplearning"
Reddit Link 2026-02-13T16:17Z [--] followers, [--] engagements
""Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism" Cui et al. [----] ("trains up to 1.61x faster while having identical performance") mlscaling mlscaling"
Reddit Link 2026-02-14T23:50Z [--] followers, [--] engagements
""Scaling Embeddings Outperforms Scaling Experts in Language Models" Liu et al. [----] Meituan LongCat deeplearning deeplearning"
Reddit Link 2026-01-29T15:52Z [--] followers, [--] engagements
"DeepMind's Aletheia solves Erds Problem [----] ("Irrationality of rapidly converging series: a problem of Erds and Graham") accelerate accelerate"
Reddit Link 2026-02-02T19:50Z [--] followers, [---] engagements
"DeepMind's Aletheia solves Erds Problem [----] ("Irrationality of rapidly converging series: a problem of Erds and Graham") AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-02T19:36Z [--] followers, [--] engagements
"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context e_acc e_acc"
Reddit Link 2026-02-13T16:25Z [--] followers, [--] engagements
"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-13T16:29Z [--] followers, [--] engagements
"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context mlscaling mlscaling"
Reddit Link 2026-02-13T16:32Z [--] followers, [--] engagements
""Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism" Cui et al. [----] ("trains up to 1.61x faster while having identical performance") AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-14T23:50Z [--] followers, [--] engagements
""SWE-Universe: Scale Real-World Verifiable Environments to Millions" Chen et al. [----] Qwen Team Alibaba mlscaling mlscaling"
Reddit Link 2026-02-04T17:11Z [--] followers, [--] engagements
""Causal Autoregressive Diffusion Language Model" Ruan et al. [----] ("CARD a unified framework that reconciles the training stability of autoregressive models with the parallel inference capabilities of diffusion") mlscaling mlscaling"
Reddit Link 2026-02-05T15:51Z [--] followers, [--] engagements
""Causal Autoregressive Diffusion Language Model" Ruan et al. [----] ("CARD a unified framework that reconciles the training stability of autoregressive models with the parallel inference capabilities of diffusion") AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-05T15:40Z [--] followers, [--] engagements
"Nucleotide Transformer v3 (NTv3) - Small performant genomic models trained on [----] Trillion tokens. "A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction" Boshar et al. [----] accelerate accelerate"
Reddit Link 2026-02-08T17:19Z [--] followers, [---] engagements
""A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction" Boshar et al. [----] Nucleotide Transformer v3 (NTv3) (Small performant genomic models trained on [----] Trillion tokens) mlscaling mlscaling"
Reddit Link 2026-02-08T17:18Z [--] followers, [--] engagements
"HiStream: Efficient High-Resolution Video Generation via Redundancy Eliminated Streaming ("achieving a 107.5x acceleration over the baseline") accelerate accelerate"
Reddit Link 2026-02-10T10:21Z [--] followers, [--] engagements
"HiStream: Efficient High-Resolution Video Generation via Redundancy Eliminated Streaming ("achieving a 107.5x acceleration over the baseline") AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-10T10:21Z [--] followers, [--] engagements
"HiStream: Efficient High-Resolution Video Generation via Redundancy Eliminated Streaming ("achieving a 107.5x acceleration over the baseline") e_acc e_acc"
Reddit Link 2026-02-10T10:21Z [--] followers, [--] engagements
"The Isomorphic Labs Drug Design Engine unlocks a new frontier beyond AlphaFold e_acc e_acc"
Reddit Link 2026-02-11T19:55Z [--] followers, [--] engagements
"The Isomorphic Labs Drug Design Engine unlocks a new frontier beyond AlphaFold AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-11T19:55Z [--] followers, [--] engagements
"The Isomorphic Labs Drug Design Engine unlocks a new frontier beyond AlphaFold mlscaling mlscaling"
Reddit Link 2026-02-11T19:55Z [--] followers, [--] engagements
""OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration" Wang et al. [----] deeplearning deeplearning"
Reddit Link 2026-02-11T19:47Z [--] followers, [--] engagements
""OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration" Wang et al. [----] LLMDevs LLMDevs"
Reddit Link 2026-02-11T19:47Z [--] followers, [--] engagements
""OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration" Wang et al. [----] AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-11T19:47Z [--] followers, [--] engagements
""Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism" Cui et al. [----] ("trains up to 1.61x faster while having identical performance") e_acc e_acc"
Reddit Link 2026-02-14T23:50Z [--] followers, [--] engagements
""Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism" Cui et al. [----] ("trains up to 1.61x faster while having identical performance") LLMDevs LLMDevs"
Reddit Link 2026-02-14T23:50Z [--] followers, [--] engagements
""Multi-Head LatentMoE and Head Parallel: Communication-Efficient and Deterministic MoE Parallelism" Cui et al. [----] ("trains up to 1.61x faster while having identical performance") deeplearning deeplearning"
Reddit Link 2026-02-14T23:50Z [--] followers, [--] engagements
""SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations" Guo et al. [----] LLMDevs LLMDevs"
Reddit Link 2025-12-30T12:15Z [--] followers, [--] engagements
"TurboDiffusion: 100-200x Acceleration for Video Diffusion Models AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-01T17:59Z [--] followers, [--] engagements
"TurboDiffusion: 100-200x Acceleration for Video Diffusion Models accelerate accelerate"
Reddit Link 2026-01-01T17:59Z [--] followers, [---] engagements
""AI capabilities progress has sped up" Epoch AI (a phase transition in progress - METR Time Horizon and Epoch Capabilities Index) mlscaling mlscaling"
Reddit Link 2026-01-01T17:56Z [--] followers, [--] engagements
"The New Moores Law: Why Optical Computing Could Redefine Scaling for AI AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-03T14:02Z [--] followers, [--] engagements
"The New Moores Law: Why Optical Computing Could Redefine Scaling for AI accelerate accelerate"
Reddit Link 2026-01-03T14:02Z [--] followers, [--] engagements
""A Geometric Theory of Cognition" Laha Ale [----] ("unifies a wide range of existing cognitive and computational theories. Bayesian inference predictive coding reinforcement learning deep representation learning the free-energy principle and dual-process accounts of intuition and deliberation") agi agi"
Reddit Link 2026-01-03T14:07Z [--] followers, [--] engagements
""A Geometric Theory of Cognition" Laha Ale [----] ("unifies a wide range of existing cognitive and computational theories. Bayesian inference predictive coding reinforcement learning deep representation learning the free-energy principle and dual-process accounts of intuition and deliberation") compmathneuro compmathneuro"
Reddit Link 2026-01-03T14:07Z [--] followers, [--] engagements
""Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning" Qin et al. [----] reinforcementlearning reinforcementlearning"
Reddit Link 2026-01-05T14:52Z [--] followers, [--] engagements
""TiDAR: Think in Diffusion Talk in Autoregression" Liu et al. [----] mlscaling mlscaling"
Reddit Link 2026-01-07T16:48Z [--] followers, [---] engagements
""Genome modeling and design across all domains of life with Evo 2" Brixi et al. [----] mlscaling mlscaling"
Reddit Link 2026-01-07T14:16Z [--] followers, [--] engagements
""Genome modeling and design across all domains of life with Evo 2" AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-07T14:16Z [--] followers, [--] engagements
""GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization" Liu et al. [----] reinforcementlearning reinforcementlearning"
Reddit Link 2026-01-09T16:19Z [--] followers, [--] engagements
""GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization" Liu et al. [----] LLMDevs LLMDevs"
Reddit Link 2026-01-09T16:19Z [--] followers, [--] engagements
"Terence Tao's Thoughts On GPT-5.2 Fully Automously Solving Erdos Problem #728 AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-09T16:00Z [--] followers, [--] engagements
""Running out of places to move the goalposts to" Nick Drozd accelerate accelerate"
Reddit Link 2026-01-13T21:41Z [--] followers, [---] engagements
""TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times" Zhang et al. [----] mlscaling mlscaling"
Reddit Link 2026-01-13T14:54Z [--] followers, [--] engagements
""GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization" Liu et al. [----] mlscaling mlscaling"
Reddit Link 2026-01-14T19:20Z [--] followers, [--] engagements
""GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization" Liu et al. [----] AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-14T19:19Z [--] followers, [--] engagements
""A Brain-like Synergistic Core in LLMs Drives Behaviour and Learning" Urbina-Rodriguez et al. [----] agi agi"
Reddit Link 2026-01-15T21:59Z [--] followers, [--] engagements
""Scaling long-running autonomous coding" Wilson Lin [----] (Cursor) mlscaling mlscaling"
Reddit Link 2026-01-15T20:09Z [--] followers, [---] engagements
""On neural scaling and the quanta hypothesis" Eric J. Michaud [----] mlscaling mlscaling"
Reddit Link 2026-01-17T20:58Z [--] followers, [--] engagements
""Scaling long-running autonomous coding" Wilson Lin [----] (Cursor) AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-15T20:08Z [--] followers, [--] engagements
""TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times" Zhang et al. [----] MediaSynthesis MediaSynthesis"
Reddit Link 2026-01-16T18:03Z [--] followers, [--] engagements
""Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs" Hu et al. [----] reinforcementlearning reinforcementlearning"
Reddit Link 2026-01-18T17:15Z [--] followers, [--] engagements
""ARC Prize 2025: Technical Report" Chollet et al. [----] mlscaling mlscaling"
Reddit Link 2026-01-21T15:07Z [--] followers, [--] engagements
""ARC Prize 2025: Technical Report" Chollet et al. [----] AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-21T15:07Z [--] followers, [--] engagements
""ARC Prize 2025: Technical Report" Chollet et al. [----] agi agi"
Reddit Link 2026-01-21T15:07Z [--] followers, [--] engagements
"MiroThinker v1.5 mlscaling mlscaling"
Reddit Link 2026-01-21T14:49Z [--] followers, [--] engagements
"DeepMind Chief AGI scientist: AGI is now on the horizon AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-22T19:23Z [--] followers, [--] engagements
""How to Explore to Scale RL Training of LLMs on Hard Problems" Qu et al. [----] mlscaling mlscaling"
Reddit Link 2026-01-24T11:48Z [--] followers, [--] engagements
""IsoCompute Playbook: Optimally Scaling Sampling Compute for RL Training of LLMs" Cheng et al. [----] mlscaling mlscaling"
Reddit Link 2026-01-23T16:33Z [--] followers, [--] engagements
""IsoCompute Playbook: Optimally Scaling Sampling Compute for RL Training of LLMs" Cheng et al. [----] reinforcementlearning reinforcementlearning"
Reddit Link 2026-01-24T15:42Z [--] followers, [--] engagements
""From Specialist to Generalist: A Comprehensive Survey on World Models" Xu et al. [----] deeplearning deeplearning"
Reddit Link 2026-01-26T17:06Z [--] followers, [--] engagements
""Scaling Embeddings Outperforms Scaling Experts in Language Models" Liu et al. [----] Meituan LongCat AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-29T15:53Z [--] followers, [--] engagements
""Recurrence-Complete Frame-based Action Models" Michael Keiblinger [----] mlscaling mlscaling"
Reddit Link 2025-10-28T17:10Z [--] followers, [--] engagements
"30 Trillion token dataset "HPLT 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data Multilingual Evaluation and Pre-Trained Models" Oepen et al. [----] LocalLLaMA LocalLLaMA"
Reddit Link 2025-11-17T19:04Z [--] followers, [---] engagements
"Dataset [--] Trillion tokens "HPLT 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data Multilingual Evaluation and Pre-Trained Models" Oepen et al. [----] datasets datasets"
Reddit Link 2025-11-17T19:04Z [--] followers, [--] engagements
""HPLT 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono- and Bi-lingual Data Multilingual Evaluation and Pre-Trained Models" Oepen et al. [----] [--] Trillion token dataset mlscaling mlscaling"
Reddit Link 2025-11-21T19:18Z [--] followers, [--] engagements
""1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities" Wang et al. [----] mlscaling mlscaling"
Reddit Link 2025-12-15T18:40Z [--] followers, [--] engagements
""nanochat miniseries v1" Andrej Karpathy [----] mlscaling mlscaling"
Reddit Link 2026-01-11T14:49Z [--] followers, [---] engagements
"7x Longer Context Reinforcement Learning in Unsloth reinforcementlearning reinforcementlearning"
Reddit Link 2026-01-16T07:40Z [--] followers, [--] engagements
"They mistook Christmas for the downfall of AI (Similarweb's AI Tracker Update 1/2/26 vs 1/16/26) accelerate accelerate"
Reddit Link 2026-01-23T14:53Z [--] followers, [---] engagements
""How to Explore to Scale RL Training of LLMs on Hard Problems" Qu et al. [----] reinforcementlearning reinforcementlearning"
Reddit Link 2026-01-24T15:48Z [--] followers, [--] engagements
""A crowdsourced repository for optimization constants" Terence Tao [----] math math"
Reddit Link 2026-01-24T16:16Z [--] followers, [---] engagements
""Microscopic-Level Mouse Whole Cortex Simulation Composed of [--] Million Biophysical Neurons and [--] Billion Synapses on the Supercomputer Fugaku" Kuriyama et al. [----] mlscaling mlscaling"
Reddit Link 2026-01-25T16:08Z [--] followers, [---] engagements
""Microscopic-Level Mouse Whole Cortex Simulation Composed of [--] Million Biophysical Neurons and [--] Billion Synapses on the Supercomputer Fugaku" Kuriyama et al. [----] compmathneuro compmathneuro"
Reddit Link 2026-01-25T16:08Z [--] followers, [---] engagements
"Microscopic-Level Mouse Whole Cortex Simulation Composed of [--] Million Biophysical Neurons and [--] Billion Synapses on the Supercomputer Fugaku accelerate accelerate"
Reddit Link 2026-01-25T16:26Z [--] followers, [---] engagements
"Microscopic-Level Mouse Whole Cortex Simulation Composed of [--] Million Biophysical Neurons and [--] Billion Synapses on the Supercomputer Fugaku AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-25T16:26Z [--] followers, [--] engagements
""Towards a Better Hutter Prize" Gwern [----] mlscaling mlscaling"
Reddit Link 2026-01-27T17:16Z [--] followers, [---] engagements
""Post-LayerNorm Is Back: Stable ExpressivE and Deep" Chen & Wei [----] ByteDance Seed ("Keel trains robustly at depths exceeding [----] layers and consistently improves perplexity and depth-scaling characteristics over Pre-LN") mlscaling mlscaling"
Reddit Link 2026-01-29T15:55Z [--] followers, [--] engagements
""Post-LayerNorm Is Back: Stable ExpressivE and Deep" Chen & Wei [----] ByteDance Seed ("Keel trains robustly at depths exceeding [----] layers and consistently improves perplexity and depth-scaling characteristics over Pre-LN") AcceleratingAI AcceleratingAI"
Reddit Link 2026-01-29T15:55Z [--] followers, [--] engagements
""AI-generated music is really starting to hit" Nick Drozd DefendingAIArt DefendingAIArt"
Reddit Link 2026-01-30T15:32Z [--] followers, [--] engagements
""AI-generated music is really starting to hit" Nick Drozd accelerate accelerate"
Reddit Link 2026-01-31T04:00Z [--] followers, [---] engagements
""Post-LayerNorm Is Back: Stable ExpressivE and Deep" Chen & Wei [----] ByteDance Seed ("Keel trains robustly at depths exceeding [----] layers and consistently improves perplexity and depth-scaling characteristics over Pre-LN") deeplearning deeplearning"
Reddit Link 2026-01-31T18:39Z [--] followers, [--] engagements
""Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation" Dai et al. [----] reinforcementlearning reinforcementlearning"
Reddit Link 2026-01-31T20:55Z [--] followers, [--] engagements
""Self-Improving Pretraining: using post-trained models to pretrain better models" Tan et al. [----] mlscaling mlscaling"
Reddit Link 2026-02-02T22:29Z [--] followers, [---] engagements
""Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text" Lu et al. [----] reinforcementlearning reinforcementlearning"
Reddit Link 2026-02-04T17:30Z [--] followers, [--] engagements
""SWE-Universe: Scale Real-World Verifiable Environments to Millions" Chen et al. [----] Qwen Team Alibaba AcceleratingAI AcceleratingAI"
Reddit Link 2026-02-04T17:11Z [--] followers, [--] engagements
""Hippocampus supports multi-task reinforcement learning under partial observability" Pedamonti et al. [----] compmathneuro compmathneuro"
Reddit Link 2026-02-04T18:27Z [--] followers, [--] engagements
""Causal Autoregressive Diffusion Language Model" Ruan et al. [----] ("CARD a unified framework that reconciles the training stability of autoregressive models with the parallel inference capabilities of diffusion") deeplearning deeplearning"
Reddit Link 2026-02-05T15:51Z [--] followers, [--] engagements
""PretrainZero: Reinforcement Active Pretraining" Xing et al. [----] reinforcementlearning reinforcementlearning"
Reddit Link 2026-02-06T17:00Z [--] followers, [--] engagements
""PretrainZero: Reinforcement Active Pretraining" Xing et al. [----] deeplearning deeplearning"
Reddit Link 2026-02-06T17:00Z [--] followers, [--] engagements
""Causal Autoregressive Diffusion Language Model" Ruan et al. [----] ("CARD a unified framework that reconciles the training stability of autoregressive models with the parallel inference capabilities of diffusion") eacc eacc"
Reddit Link 2026-02-06T17:08Z [--] followers, [--] engagements
""Causal Autoregressive Diffusion Language Model" Ruan et al. [----] ("CARD a unified framework that reconciles the training stability of autoregressive models with the parallel inference capabilities of diffusion") e_acc e_acc"
Reddit Link 2026-02-07T16:05Z [--] followers, [--] engagements
"DeepMind's Aletheia solves Erds Problem [----] ("Irrationality of rapidly converging series: a problem of Erds and Graham") e_acc e_acc"
Reddit Link 2026-02-06T19:31Z [--] followers, [--] engagements
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