# ![@RecmacfonD Avatar](https://lunarcrush.com/gi/w:26/cr:reddit::t2_1zzfrfibdi.png) @RecmacfonD RecmacfonD

RecmacfonD posts on Reddit about ai, inference, agi, faster the most. They currently have undefined followers and [---] posts still getting attention that total [---] engagements in the last [--] hours.

### Engagements: [---] [#](/creator/reddit::t2_1zzfrfibdi/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:reddit::t2_1zzfrfibdi/c:line/m:interactions.svg)

- [--] Week [-----] +29%
- [--] Month [-----] -12%
- [--] Months [---------] -67%
- [--] Year [----------] -58%

### Mentions: [--] [#](/creator/reddit::t2_1zzfrfibdi/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:reddit::t2_1zzfrfibdi/c:line/m:posts_active.svg)

- [--] Months [--] +8,400%
- [--] Year [--] +8,400%

### Followers: undefined [#](/creator/reddit::t2_1zzfrfibdi/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:reddit::t2_1zzfrfibdi/c:line/m:followers.svg)


### CreatorRank: [---------] [#](/creator/reddit::t2_1zzfrfibdi/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:reddit::t2_1zzfrfibdi/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[technology brands](/list/technology-brands)  [stocks](/list/stocks)  [finance](/list/finance)  [automotive brands](/list/automotive-brands) 

**Social topic influence**
[ai](/topic/ai), [inference](/topic/inference), [agi](/topic/agi), [faster](/topic/faster) #1161, [llm](/topic/llm), [cope](/topic/cope) #417, [pope](/topic/pope), [up to](/topic/up-to), [meituan](/topic/meituan) #34, [tao](/topic/tao)
### Top Social Posts
Top posts by engagements in the last [--] hours

""Mamba-3: Improved Sequence Modeling using State Space Principles" [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1o8c99u)  2025-10-20T03:35Z [--] followers, [--] engagements


""Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression" Zuo et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1o9wva1)  2025-10-18T23:36Z [--] followers, [--] engagements


""Failing to Understand the Exponential Again" Julian Schrittwieser [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1obkv88)  2025-10-21T19:34Z [--] followers, [--] engagements


""Angles Don't Lie: Unlocking Training-Efficient RL Through the Model's Own Signals" Wang et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1ocguyz)  2025-10-21T16:03Z [--] followers, [--] engagements


""Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts" Lee et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1od15c1)  2025-10-24T06:38Z [--] followers, [--] engagements


""Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model" Ling Team Inclusion AI [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1oe6igw)  2025-10-23T15:41Z [--] followers, [--] engagements


""Human-Level Reinforcement Learning through Theory-Based Modeling Exploration and Planning" Tsividis et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1of42v5)  2025-10-24T17:50Z [--] followers, [--] engagements


""Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf's Law" Kunstner & Bach [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1ogq76z)  2025-10-31T00:45Z [--] followers, [--] engagements


""AI Global: Global Sector Trends on Generative AI" (10/10/2025) Similarweb pdf mlscaling mlscaling"  
[Reddit Link](https://redd.it/1ogr2e5)  2025-10-26T18:06Z [--] followers, [--] engagements


""Scaling Agents via Continual Pre-training" Su et al. [----] (Tongyi DeepResearch - AgentFounder) mlscaling mlscaling"  
[Reddit Link](https://redd.it/1ohlnbv)  2025-10-27T18:09Z [--] followers, [--] engagements


""Huxley-Gdel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine" Wang et al. [----] AgentsOfAI AgentsOfAI"  
[Reddit Link](https://redd.it/1oiezzy)  2025-10-28T17:10Z [--] followers, [--] engagements


""Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs" Bian et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1ok2t1b)  2025-10-30T22:19Z [--] followers, [--] engagements


""TeraAgent: A Distributed Agent-Based Simulation Engine for Simulating Half a Trillion Agents" Breitwieser et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1okw6iy)  2025-10-31T14:59Z [--] followers, [--] engagements


""Kimi Linear: An Expressive Efficient Attention Architecture" Kimi Team [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1okw9hi)  2025-10-31T16:58Z [--] followers, [---] engagements


""Huxley-Gdel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine" Wang et al. [----] aiagents aiagents"  
[Reddit Link](https://redd.it/1olsaa1)  2025-11-01T16:36Z [--] followers, [--] engagements


""Every Activation Boosted: Scaling General Reasoner to [--] Trillion Open Language Foundation" Ling Team Inclusion AI [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1opaj0c)  2025-11-05T18:19Z [--] followers, [--] engagements


""ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining Finetuning and Decoding the Curse of Multilinguality" Longpre et al. [----] (774 multilingual training experiments spanning 10M-8B model parameters 400+ training languages and [--] evaluation languages) mlscaling mlscaling"  
[Reddit Link](https://redd.it/1opandn)  2025-11-05T18:37Z [--] followers, [--] engagements


""Diffusion Language Models are Super Data Learners" Ni et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1oq6i1r)  2025-11-06T18:19Z [--] followers, [---] engagements


""Oracle Unveils Next-Generation Oracle Cloud Infrastructure Zettascale10 Cluster for AI" ("16 zettaFLOPS of peak performance") mlscaling mlscaling"  
[Reddit Link](https://redd.it/1orwa36)  2025-11-08T18:18Z [--] followers, [--] engagements


""Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning" Wang et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1osql4g)  2025-11-10T02:02Z [--] followers, [--] engagements


""JustRL: Scaling a 1.5B LLM with a Simple RL Recipe" He et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1ovdiy8)  2025-11-12T19:58Z [--] followers, [--] engagements


""JustRL: Scaling a 1.5B LLM with a Simple RL Recipe" He et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1ovdkcl)  2025-11-12T19:58Z [--] followers, [--] engagements


"Grok [--] in Q1 of [----] ("6 Trillion parameter model whereas Grok [--] and [--] are based on a [--] Trillion parameter model" mlscaling mlscaling"  
[Reddit Link](https://redd.it/1oxz078)  2025-11-15T19:37Z [--] followers, [---] engagements


""Android Dreams" Anand Majmudar [----] ("Inspired by AI 2027" "A prediction essay for the next [--] years of intelligent robotics") mlscaling mlscaling"  
[Reddit Link](https://redd.it/1oxzbba)  2025-11-15T18:53Z [--] 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](https://redd.it/1ozofpd)  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](https://redd.it/1ozorks)  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](https://redd.it/1p37jq9)  2025-11-21T19:18Z [--] followers, [--] engagements


""Scaling Spatial Intelligence with Multimodal Foundation Models" Cai et al. [----] SenseNova-SI mlscaling mlscaling"  
[Reddit Link](https://redd.it/1p37muc)  2025-11-21T19:21Z [--] followers, [--] engagements


"SenseNova-SI "Scaling Spatial Intelligence with Multimodal Foundation Models" Cai et al. [----] LocalLLaMA LocalLLaMA"  
[Reddit Link](https://redd.it/1p37q0h)  2025-11-21T19:31Z [--] followers, [--] engagements


""Cognitive Foundations for Reasoning and Their Manifestation in LLMs" Kargupta et al. [----] cogsci cogsci"  
[Reddit Link](https://redd.it/1p4un2j)  2025-11-23T19:47Z [--] followers, [--] engagements


""Cognitive Foundations for Reasoning and Their Manifestation in LLMs" Kargupta et al. [----] agi agi"  
[Reddit Link](https://redd.it/1p4uni3)  2025-11-23T19:47Z [--] followers, [--] engagements


""Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs" Taghibakhshi et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1p5p903)  2025-12-05T14:14Z [--] followers, [--] engagements


""DEEP DIVE: AI progress continues as IQ scores rise linearly" Maxim Lott [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1p6jyq0)  2025-11-25T22:14Z [--] followers, [--] engagements


""Training Foundation Models on a Full-Stack AMD Platform: Compute Networking and System Design" Anthony et al. [----] ZAYA1 mlscaling mlscaling"  
[Reddit Link](https://redd.it/1p7fr2y)  2025-11-26T18:46Z [--] followers, [--] engagements


""Training Foundation Models on a Full-Stack AMD Platform: Compute Networking and System Design" Anthony et al. [----] ZAYA1 LLMDevs LLMDevs"  
[Reddit Link](https://redd.it/1p7ftms)  2025-11-26T18:46Z [--] followers, [--] engagements


""ZettaLith: An Architectural Exploration of Extreme-Scale AI Inference Acceleration" Kia Silverbrook [----] [--] Trillion parameters within a single rack. 1047x higher throughput 1490x better energy efficiency and 2325x greater cost-effectiveness than leading [----] GPU racks. mlscaling mlscaling"  
[Reddit Link](https://redd.it/1p89yg2)  2025-11-27T20:21Z [--] followers, [--] engagements


""Scaling Agent Learning via Experience Synthesis" Chen et al. [----] DreamGym reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1p9tejq)  2025-11-29T16:50Z [--] followers, [--] engagements


""Scaling Agent Learning via Experience Synthesis" Chen et al. [----] DreamGym mlscaling mlscaling"  
[Reddit Link](https://redd.it/1p9tg8a)  2025-11-29T16:50Z [--] followers, [--] engagements


""MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model Context and Interactive Scaling" MiroMind Team [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pciniw)  2025-12-02T20:17Z [--] followers, [--] engagements


""Amazon introduces new frontier Nova models a pioneering Nova Forge service for organizations to build their own models and Nova Act for building agents" Nova [--] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pck64b)  2025-12-02T20:55Z [--] followers, [--] engagements


""On the Origin of Algorithmic Progress in AI" Gundlach et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pe8f3u)  2025-12-04T19:01Z [--] followers, [--] engagements


"ARC Prize [----] Results and Analysis agi agi"  
[Reddit Link](https://redd.it/1pf7k84)  2025-12-05T22:45Z [--] followers, [--] engagements


""Superposition Yields Robust Neural Scaling" Liu et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pfyw13)  2025-12-06T20:19Z [--] followers, [--] engagements


""Rethinking generative image pretraining: How far are we from scaling up next-pixel prediction" Yan et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1phl79l)  2025-12-08T19:16Z [--] followers, [--] engagements


""Rethinking generative image pretraining: How far are we from scaling up next-pixel prediction" Yan et al. [----] MediaSynthesis MediaSynthesis"  
[Reddit Link](https://redd.it/1phlbdz)  2025-12-09T06:21Z [--] followers, [--] engagements


""Self-Improving AI Agents through Self-Play" Przemyslaw Chojecki [----] agi agi"  
[Reddit Link](https://redd.it/1pod9lf)  2025-12-16T21:02Z [--] followers, [--] engagements


""New Chinese optical quantum chip allegedly 1000x faster than Nvidia GPUs for processing AI workloads - firm reportedly producing [-----] wafers per year" mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pp4c4u)  2025-12-17T21:35Z [--] followers, [--] engagements


""New Chinese optical quantum chip allegedly 1000x faster than Nvidia GPUs for processing AI workloads - firm reportedly producing [-----] wafers per year" AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1pp4esj)  2025-12-17T21:35Z [--] followers, [---] engagements


""LLaDA2.0: Scaling Up Diffusion Language Models to 100B" Bie et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1prcp2s)  2025-12-20T12:13Z [--] followers, [---] engagements


""Meta-RL Induces Exploration in Language Agents" Jiang et al. [----] ("Meta-RL exhibits stronger test-time scaling") mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pulp6x)  2025-12-24T11:58Z [--] followers, [--] engagements


""Meta-RL Induces Exploration in Language Agents" Jiang et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1pulr1f)  2025-12-24T12:22Z [--] followers, [--] engagements


""AI capabilities progress has sped up" (Epoch AI) AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1pultjc)  2025-12-24T12:04Z [--] followers, [--] engagements


""AI capabilities progress has sped up" (Epoch AI) accelerate accelerate"  
[Reddit Link](https://redd.it/1pulvg3)  2025-12-24T12:50Z [--] followers, [---] engagements


""Cut the Bill Keep the Turns: Affordable Multi-Turn Search RL" Wu et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pv9qyu)  2025-12-25T10:27Z [--] followers, [--] engagements


""Cut the Bill Keep the Turns: Affordable Multi-Turn Search RL" Wu et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1pv9ry7)  2025-12-25T10:27Z [--] followers, [--] engagements


""Frontier Data Centers" Epoch AI (several gigawatt-scale AI data centers coming online in 2026) mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pxq099)  2025-12-28T12:19Z [--] followers, [---] engagements


""Frontier Data Centers" Epoch AI (several gigawatt-scale AI data centers coming online in 2026) accelerate accelerate"  
[Reddit Link](https://redd.it/1pxq10n)  2025-12-28T12:19Z [--] followers, [---] engagements


""Frontier Data Centers" Epoch AI (several gigawatt-scale AI data centers coming online in 2026) AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1pxq1ng)  2025-12-28T12:33Z [--] followers, [--] engagements


"META SuperIntelligence Labs: Toward Training Superintelligent Software Agents Through Self-Play SWE-RL "Agents autonomously gather real-world software enabling superintelligent systems that exceed human capabilities in solving novel challenges and autonomously creating new software from scratch" AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1pxq2k9)  2025-12-28T12:23Z [--] followers, [--] engagements


""Propose Solve Verify: Self-Play Through Formal Verification" Wilf et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pxq8oh)  2025-12-28T12:38Z [--] followers, [--] engagements


""Toward Training Superintelligent Software Agents through Self-Play SWE-RL" Wei et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1pxq9ye)  2025-12-28T13:07Z [--] followers, [--] engagements


""AI contributions to Erds problems" Terence Tao math math"  
[Reddit Link](https://redd.it/1pxqhj5)  2025-12-28T15:47Z [--] followers, [----] engagements


""AI contributions to Erds problems" Terence Tao AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1pzgdnk)  2025-12-30T12:11Z [--] followers, [--] engagements


"Quantum computing scaling laws AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1pzgeyw)  2025-12-30T16:42Z [--] followers, [--] engagements


"Quantum computing scaling laws accelerate accelerate"  
[Reddit Link](https://redd.it/1pzgfkw)  2025-12-30T16:42Z [--] followers, [--] engagements


""SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations" Guo et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pzggv9)  2025-12-30T12:15Z [--] followers, [--] engagements


""SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations" Guo et al. [----] LLMDevs LLMDevs"  
[Reddit Link](https://redd.it/1pzghi9)  2025-12-30T12:15Z [--] followers, [--] engagements


"TurboDiffusion: 100-200x Acceleration for Video Diffusion Models AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1q13uu0)  2026-01-01T17:59Z [--] followers, [--] engagements


"TurboDiffusion: 100-200x Acceleration for Video Diffusion Models accelerate accelerate"  
[Reddit Link](https://redd.it/1q13vqk)  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](https://redd.it/1q14bfv)  2026-01-01T17:56Z [--] followers, [--] engagements


"The New Moores Law: Why Optical Computing Could Redefine Scaling for AI AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1q2v5kr)  2026-01-03T14:02Z [--] followers, [--] engagements


"The New Moores Law: Why Optical Computing Could Redefine Scaling for AI accelerate accelerate"  
[Reddit Link](https://redd.it/1q2v7qw)  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](https://redd.it/1q2vbtg)  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](https://redd.it/1q2vdc5)  2026-01-03T14:07Z [--] followers, [--] engagements


""Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning" Qin et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1q4nlfr)  2026-01-05T14:52Z [--] followers, [--] engagements


""TiDAR: Think in Diffusion Talk in Autoregression" Liu et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1q6g018)  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](https://redd.it/1q6g4q4)  2026-01-07T14:16Z [--] followers, [--] engagements


""Genome modeling and design across all domains of life with Evo 2" AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1q6geat)  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](https://redd.it/1q8axb1)  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](https://redd.it/1q8b0tu)  2026-01-09T16:19Z [--] followers, [--] engagements


"Terence Tao's Thoughts On GPT-5.2 Fully Automously Solving Erdos Problem #728 AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1q8bkm9)  2026-01-09T16:00Z [--] followers, [--] engagements


""Running out of places to move the goalposts to" Nick Drozd accelerate accelerate"  
[Reddit Link](https://redd.it/1qbs3uk)  2026-01-13T21:41Z [--] followers, [---] engagements


""TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times" Zhang et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qbs9w6)  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](https://redd.it/1qcuf6o)  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](https://redd.it/1qcvtdj)  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](https://redd.it/1qdshd1)  2026-01-15T21:59Z [--] followers, [--] engagements


""Scaling long-running autonomous coding" Wilson Lin [----] (Cursor) mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qdty2u)  2026-01-15T20:09Z [--] followers, [---] engagements


""On neural scaling and the quanta hypothesis" Eric J. Michaud [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qdtzt7)  2026-01-17T20:58Z [--] followers, [--] engagements


""Scaling long-running autonomous coding" Wilson Lin [----] (Cursor) AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1qdu391)  2026-01-15T20:08Z [--] followers, [--] engagements


""TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times" Zhang et al. [----] MediaSynthesis MediaSynthesis"  
[Reddit Link](https://redd.it/1qei7sq)  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](https://redd.it/1qgcopv)  2026-01-18T17:15Z [--] followers, [--] engagements


""ARC Prize 2025: Technical Report" Chollet et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qizjvc)  2026-01-21T15:07Z [--] followers, [--] engagements


""ARC Prize 2025: Technical Report" Chollet et al. [----] AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1qizkrd)  2026-01-21T15:07Z [--] followers, [--] engagements


""ARC Prize 2025: Technical Report" Chollet et al. [----] agi agi"  
[Reddit Link](https://redd.it/1qizlnu)  2026-01-21T15:07Z [--] followers, [--] engagements


"MiroThinker v1.5 mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qizqo3)  2026-01-21T14:49Z [--] followers, [--] engagements


"DeepMind Chief AGI scientist: AGI is now on the horizon AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1qk3ybk)  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](https://redd.it/1qkrtbo)  2026-01-24T11:48Z [--] followers, [--] engagements


""IsoCompute Playbook: Optimally Scaling Sampling Compute for RL Training of LLMs" Cheng et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qks1kv)  2026-01-23T16:33Z [--] followers, [--] engagements


""IsoCompute Playbook: Optimally Scaling Sampling Compute for RL Training of LLMs" Cheng et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1qlpa9i)  2026-01-24T15:42Z [--] followers, [--] engagements


""From Specialist to Generalist: A Comprehensive Survey on World Models" Xu et al. [----] deeplearning deeplearning"  
[Reddit Link](https://redd.it/1qnl4h5)  2026-01-26T17:06Z [--] 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](https://redd.it/1qkseoo)  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](https://redd.it/1qlpbvg)  2026-01-24T15:48Z [--] followers, [--] engagements


""A crowdsourced repository for optimization constants" Terence Tao [----] math math"  
[Reddit Link](https://redd.it/1qlponv)  2026-01-24T16:16Z [--] 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") AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1qqc4ec)  2026-01-29T15:55Z [--] followers, [--] engagements


""AI-generated music is really starting to hit" Nick Drozd DefendingAIArt DefendingAIArt"  
[Reddit Link](https://redd.it/1qr8koa)  2026-01-30T15:32Z [--] followers, [--] engagements


""AI-generated music is really starting to hit" Nick Drozd accelerate accelerate"  
[Reddit Link](https://redd.it/1qr8lm2)  2026-01-31T04:00Z [--] followers, [---] engagements


""Recurrence-Complete Frame-based Action Models" Michael Keiblinger [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1oieiyt)  2025-10-28T17:10Z [--] followers, [--] engagements


""nanochat miniseries v1" Andrej Karpathy [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1q9ymh0)  2026-01-11T14:49Z [--] 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](https://redd.it/1qmmzt7)  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](https://redd.it/1qmn0xl)  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](https://redd.it/1qmn5w5)  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](https://redd.it/1qmn796)  2026-01-25T16:26Z [--] 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](https://redd.it/1qqbwpi)  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") deeplearning deeplearning"  
[Reddit Link](https://redd.it/1qsabyl)  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](https://redd.it/1qsb5pd)  2026-01-31T20:55Z [--] followers, [--] engagements


""Self-Improving Pretraining: using post-trained models to pretrain better models" Tan et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qu2tga)  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](https://redd.it/1qvte7a)  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](https://redd.it/1qvtf0a)  2026-02-04T17:11Z [--] followers, [--] engagements


""Hippocampus supports multi-task reinforcement learning under partial observability" Pedamonti et al. [----] compmathneuro compmathneuro"  
[Reddit Link](https://redd.it/1qvvo8y)  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") eacc eacc"  
[Reddit Link](https://redd.it/1qxn2a3)  2026-02-06T17:08Z [--] 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](https://redd.it/1qxr3kk)  2026-02-06T19:31Z [--] 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](https://redd.it/1qyhiv0)  2026-02-07T16:05Z [--] followers, [--] engagements


"HiStream: Efficient High-Resolution Video Generation via Redundancy Eliminated Streaming ("achieving a 107.5x acceleration over the baseline") accelerate accelerate"  
[Reddit Link](https://redd.it/1r0wkra)  2026-02-10T10:21Z [--] followers, [--] engagements


"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context deeplearning deeplearning"  
[Reddit Link](https://redd.it/1r3ten0)  2026-02-13T16:17Z [--] followers, [--] engagements


""Scaling Embeddings Outperforms Scaling Experts in Language Models" Liu et al. [----] Meituan LongCat mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qqc0se)  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](https://redd.it/1qu51qt)  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](https://redd.it/1qu53cy)  2026-02-02T19:36Z [--] followers, [--] engagements


""ERNIE [---] Technical Report" ERNIE Team Baidu [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1r029mj)  2026-02-09T14:36Z [--] followers, [--] engagements


"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context LLMDevs LLMDevs"  
[Reddit Link](https://redd.it/1r3tcyw)  2026-02-13T16:15Z [--] followers, [--] engagements


"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context e_acc e_acc"  
[Reddit Link](https://redd.it/1r3tmlf)  2026-02-13T16:25Z [--] followers, [--] engagements


"7x Longer Context Reinforcement Learning in Unsloth reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1qdunyi)  2026-01-16T07:40Z [--] followers, [--] engagements


""SWE-Universe: Scale Real-World Verifiable Environments to Millions" Chen et al. [----] Qwen Team Alibaba mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qvt562)  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](https://redd.it/1qwohgi)  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](https://redd.it/1qwoicq)  2026-02-05T15:40Z [--] 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](https://redd.it/1qwojig)  2026-02-05T15:51Z [--] followers, [--] engagements


""PretrainZero: Reinforcement Active Pretraining" Xing et al. [----] reinforcementlearning reinforcementlearning"  
[Reddit Link](https://redd.it/1qxmra8)  2026-02-06T17:00Z [--] followers, [--] engagements


""PretrainZero: Reinforcement Active Pretraining" Xing et al. [----] deeplearning deeplearning"  
[Reddit Link](https://redd.it/1qxmrza)  2026-02-06T17:00Z [--] 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](https://redd.it/1qzel3q)  2026-02-08T17:19Z [--] followers, [---] engagements


"The Isomorphic Labs Drug Design Engine unlocks a new frontier beyond AlphaFold e_acc e_acc"  
[Reddit Link](https://redd.it/1r2725z)  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](https://redd.it/1r279ts)  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](https://redd.it/1r27amb)  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](https://redd.it/1r27b52)  2026-02-11T19:47Z [--] followers, [--] engagements


"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1r3tnw2)  2026-02-13T16:29Z [--] followers, [--] engagements


""Scaling Embeddings Outperforms Scaling Experts in Language Models" Liu et al. [----] Meituan LongCat deeplearning deeplearning"  
[Reddit Link](https://redd.it/1qqc3q0)  2026-01-29T15:52Z [--] followers, [--] engagements


""Introducing LongCat-Flash-Thinking: A Technical Report" Meituan LongCat Team [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1ovf8pa)  2025-11-12T20:52Z [--] followers, [--] engagements


""Scaling Embeddings Outperforms Scaling Experts in Language Models" Liu et al. [----] Meituan LongCat AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1qqc2b5)  2026-01-29T15:53Z [--] followers, [--] engagements


""Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text" Lu et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qvt688)  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](https://redd.it/1qvtfui)  2026-02-04T17:30Z [--] 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](https://redd.it/1qzeob5)  2026-02-08T17:18Z [--] followers, [--] engagements


"The Isomorphic Labs Drug Design Engine unlocks a new frontier beyond AlphaFold AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1r273br)  2026-02-11T19:55Z [--] followers, [--] engagements


"The Isomorphic Labs Drug Design Engine unlocks a new frontier beyond AlphaFold mlscaling mlscaling"  
[Reddit Link](https://redd.it/1r274qe)  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. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1r278xd)  2026-02-11T19:47Z [--] followers, [--] engagements


"PoPE DroPE and CoPE - Three Papers on Scaling Positional Embeddings & Context mlscaling mlscaling"  
[Reddit Link](https://redd.it/1r3tpy0)  2026-02-13T16:32Z [--] followers, [--] engagements


""1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities" Wang et al. [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1pne554)  2025-12-15T18:40Z [--] followers, [--] engagements


""Towards a Better Hutter Prize" Gwern [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1qohryn)  2026-01-27T17:16Z [--] followers, [---] engagements


""A.X K1 Technical Report" SK Telecom [----] mlscaling mlscaling"  
[Reddit Link](https://redd.it/1r02aez)  2026-02-09T12:45Z [--] followers, [--] engagements


"HiStream: Efficient High-Resolution Video Generation via Redundancy Eliminated Streaming ("achieving a 107.5x acceleration over the baseline") AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1r0wlo0)  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](https://redd.it/1r0wm7s)  2026-02-10T10:21Z [--] 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](https://redd.it/1r4s8yu)  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") AcceleratingAI AcceleratingAI"  
[Reddit Link](https://redd.it/1r4s9vt)  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") e_acc e_acc"  
[Reddit Link](https://redd.it/1r4sagp)  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](https://redd.it/1r4sdi2)  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](https://redd.it/1r4tcz7)  2026-02-14T23:50Z [--] followers, [--] engagements

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