CompanyAnthropic8 recent entries27 Sept 20262026 in LLMs (so far)On Friday I gave the closing keynote at the WeAreDevelopers World Congress North America in San Jose. I tied together the key trends from the past year into a chronological exploration of everything t→30 Sept 2026Vulnerability Discovery and Exploitation Trends in the AI EraWritten by: Robin Grunewald, Supriya Mazumdar, Kelli Vanderlee Introduction Google Threat Intelligence Group (GTIG) examines vulnerability disclosure and exploitation statistics to evaluate the impact→
CompanyOpenAI8 recent entries3 Oct 2026How many of you use ChatGPT as therapy?NGL, I do, but I’ve my reasons…. I do discern it’s answers but I’ve been so nomadic I’ve barely any friends my family of two aged parents won’t understand the concept of mental health and my diagnosis→4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info→5 Oct 2026Language barrier, shadier terms and jargon fog [D]Hey all, I don't know if you guys are experiencing the same thing, but there is this behaviour that i have been noticing on the latest models on openAI (since sol 5.6) and Anthropic since Fable 5.1 an→6 Oct 2026Networking for AI inference model serving - GKE only and for all other backendsEnterprises and individual developers frequently run multiple AI inference models. The right architecture can simplify how the models are called while also providing centralized governance. In this po→7 Oct 2026Explore ideas through interactive visuals that respond as you learn, try, and discover.On October 7, 2026 OpenAI released a session titled “Explore ideas through interactive visuals that respond as you learn, try, and discover.” The webcast showcased real‑time visual tools that adapt to→7 Oct 2026Deepen your understanding of a topic with visuals that bring concepts to life.OpenAI’s tweet (posted Oct 7 2026 at 6:05 PM) promotes the idea that visual content can deepen comprehension of a topic, highlighting how images make concepts “come to life.” The post, part of OpenAI’→8 Oct 2026chatgpt's new intelligent ui was reverse engineered in less than 24 hours, and apparently you can recreate it with local llmscame across a pretty interesting technical breakdown of chatgpt's newly launched 'intelligent ui' feature, and thought this subreddit might find it interesting. for anyone unfamiliar with the concept,→10 Oct 2026Engineer / developer observations of Gemma4-31B, Qwen3.8-27B, and 6.1-Sol for software engineering workFor what it's worth. I'm a mechanical engineer by education and software engineer in practice over the past ~20 years. Playing around with local models has been a recent hobby. Today I decided to do a
CompanyGoogle8 recent entries24 Sept 2026The three things today's hottest startups are looking for in their AI stackGoogle Cloud has become the platform of choice for startups building AI. Our uniquely complete stack — including a choice of first- and third-party compute and models; our platform for building and ma→27 Sept 2026Wiki Lint Report — 2026-09-27Automated lint: 17 errors, 59669 warnings, 3 info→27 Sept 20262026 in LLMs (so far)On Friday I gave the closing keynote at the WeAreDevelopers World Congress North America in San Jose. I tied together the key trends from the past year into a chronological exploration of everything t→30 Sept 2026Vulnerability Discovery and Exploitation Trends in the AI EraWritten by: Robin Grunewald, Supriya Mazumdar, Kelli Vanderlee Introduction Google Threat Intelligence Group (GTIG) examines vulnerability disclosure and exploitation statistics to evaluate the impact→30 Sept 2026Spanner Omni, now GA: A distributed, multi-model database that you can deploy anywhereSpanner Omni, the deploy-anywhere version of Spanner, is now generally available, ready to power your most demanding production workloads in your on-premises data center or on other clouds. With Spann→30 Sept 2026Evaluating the Evaluators: Diagnosing Large Multimodal Models for AI-Generated Image AssessmentarXiv:2609.37576v1 Announce Type: new Abstract: With the rapid advancement of text-to-image (T2I) generation, robust evaluation becomes critical yet challenging, as traditional metrics fail to capture→4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info→6 Oct 2026Networking for AI inference model serving - GKE only and for all other backendsEnterprises and individual developers frequently run multiple AI inference models. The right architecture can simplify how the models are called while also providing centralized governance. In this po
CompanyMeta8 recent entries2 Oct 2026Beyond Linear Concepts: Discovering and Aligning Non-Linear Concept Manifolds in Large Language ModelsarXiv:2610.01821v1 Announce Type: new Abstract: Understanding information processing in large language models (LLMs) requires dissecting the geometric organization of their internal token representati→2 Oct 2026Attention Manifolds: Steering or Blocking Language Models by Editing Learned B-Spline SurfacesarXiv:2610.00257v1 Announce Type: new Abstract: In standard transformer attention, a source token sends the same value vector to every receiver. The query determines how much to attend but not what to→4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info→5 Oct 2026From Benchmarks to Production: A Text-to-SQL System for Complex Financial DataarXiv:2610.03524v1 Announce Type: new Abstract: General-purpose Text-to-SQL systems achieve strong performance on academic benchmarks like Spider and BIRD, where schemas are relatively shallow and col→6 Oct 2026Ontology Concept Overlap as a Training Signal: Knowledge-Grounded Reinforcement Learning for Clinical Question AnsweringarXiv:2610.06360v1 Announce Type: cross Abstract: Reinforcement learning post-training for language models relies on two reward designs: human preferences (RLHF, DPO) and binary verifiers (RLVR). Clin→7 Oct 2026Does the Model Use the Feature? Separating Steering from Mechanism in LLMsarXiv:2610.07270v1 Announce Type: new Abstract: Internal features in LLMs are often interpreted as mechanisms when they track a concept and their manipulation changes a related behavior. Yet steering →8 Oct 2026chatgpt's new intelligent ui was reverse engineered in less than 24 hours, and apparently you can recreate it with local llmscame across a pretty interesting technical breakdown of chatgpt's newly launched 'intelligent ui' feature, and thought this subreddit might find it interesting. for anyone unfamiliar with the concept,→12 Oct 2026LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection ChallengearXiv:2506.09956v2 Announce Type: replace-cross Abstract: Indirect prompt injection attacks exploit a fundamental weakness of LLMs: executing unauthorized tasks from untrusted sources. Despite the pra
CompanyMistral8 recent entries7 Aug 2026PoolBench: A Benchmark for Pooling Strategies in Concept Representation Evaluation for Decoder-Only LLMsarXiv:2608.05162v1 Announce Type: new Abstract: Pooling is a consequential but under-examined design choice in decoder-only concept representation work: practitioners must collapse token-level hidden →20 Aug 2026Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk TriagearXiv:2608.18438v1 Announce Type: cross Abstract: Modern mental healthcare faces a critical shortage of senior supervisory oversight, leading to a 'supervision gap' where novice therapists manage high→1 Sept 2026Test-Time Training with Next-Token PredictionarXiv:2606.21803v2 Announce Type: replace Abstract: Next-token prediction is the self-supervised signal that trains language models, and every observed prompt token provides the same signal at test ti→3 Sept 2026AI-driven development lifecycle using Amazon Bedrock AgentCoreEngineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) often struggle to turn concepts into working code. This post walks through two reference implementations on Amazon Bedrock Agent→14 Sept 2026Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI FrameworkarXiv:2609.12254v1 Announce Type: new Abstract: The climate literature has grown faster than review teams can read it. That gap matters most for a concept like the environmental social tipping point, →17 Sept 2026Benchmarking Large Language Models for Biomedical Relation ExtractionarXiv:2609.19071v1 Announce Type: new Abstract: Extracting SNP-phenotype associations from biomedical literature is vital but challenging. We benchmarked diverse NLP models, including MLMs, hybrid arc→18 Sept 2026Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social NetworksarXiv:2609.19913v1 Announce Type: new Abstract: The study of opinion dynamics in social networks is one of the key challenges in computational social science with direct relevance to understanding pol→30 Sept 2026Causal and Interpretable Structures in LLM Compositional TasksarXiv:2609.35970v1 Announce Type: cross Abstract: Large language models are able to solve tasks whose answers depend on not only individual input tokens, but also on relations among them. How is such
CompanyxAI8 recent entries20 Sept 2026Wiki Lint Report — 2026-09-20Automated lint: 14 errors, 54840 warnings, 3 info→27 Sept 2026Wiki Lint Report — 2026-09-27Automated lint: 17 errors, 59669 warnings, 3 info→28 Sept 2026A Synthetic Ground-Truth Framework for the Evaluation of Explainable AI MethodsarXiv:2609.30397v1 Announce Type: new Abstract: Evaluating explainable Artificial Intelligence (XAI) methods is a challenging task due to the lack of reliable evaluation procedures and, in particular,→29 Sept 2026Self-eXplainable AI for Medical Image Analysis: A Survey and New OutlooksarXiv:2410.02331v3 Announce Type: replace Abstract: The increasing demand for transparent and reliable models, particularly in high-stakes decision-making areas such as medical image analysis, has led→4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info→4 Oct 2026Again, Elon was already thinking seriously about Super Intelligence more than a decade before today’s SI boom Nick Bostrom’s 2014 book “Supe…Again, Elon was already thinking seriously about Super Intelligence more than a decade before today’s SI boom Nick Bostrom’s 2014 book “Superintelligence” specifically thanks Elon Musk in its acknowle→5 Oct 2026Confidence-Controlled XAI Auditing for Pedestrian Detection under Domain ShiftarXiv:2610.02364v1 Announce Type: new Abstract: Explainability is increasingly required for perception models in intelligent vehicles, yet whether explanations remain faithful under driving domain shi→8 Oct 2026Revisiting Explainable AI through Model-Independent Concept DictionariesarXiv:2610.10301v1 Announce Type: new Abstract: Modern applications of AI rely on increasingly complex models. Explainable AI (XAI) has emerged as a set of techniques aimed at improving model transpar
CompanyDeepSeek8 recent entries8 Aug 2026Is anyone else finding DeepSeek-V4-Flash unreliable for non-coding tasks?(I am not a native speaker, written by myself, so please bear with me) I really want to like DeepSeek-V4-Flash-0731. But it has serious flaws that don't align with the high score on intelligence bench→10 Aug 2026Need real world ML problems to evaluate my educational ML toolsI'm a retired platform engineer, coding mainly in Rust, and involved with a ML study group. I developed a ML programming language (alternative to Python, Colab) to help me learn (and teach) ML concept→11 Aug 2026I gave DeepSeek V4 Flash basic vision by training a 40M connector on 100K examplesI wanted to find out whether a huge text-only MoE could be given basic vision without retraining the language model itself. The short answer is yes. I froze DeepSeek V4 Flash and a 417M-parameter Moon→18 Aug 2026Revisiting the Performance of Generative Artificial Intelligence on Introductory Object-Oriented Programming Assessments: Insights from 2026arXiv:2608.16318v1 Announce Type: cross Abstract: Recent advances in Generative Artificial Intelligence (GenAI) have substantially improved the ability of large language models (LLMs) to generate and →24 Aug 2026Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation PlanningarXiv:2608.21180v1 Announce Type: cross Abstract: LGE cardiac MRI is widely used for left atrial fibrosis assessment and ablation planning in atrial fibrillation patients as knowledge of fibrotic tiss→11 Sept 2026Spomin - Live KV cache compaction (Experimental for Qwen)I’ve been building 'Spomin', a router that replaces context with summaries directly in the KV cache. The goal is to keep long running sessions going without repeatedly stopping for full compaction and→16 Sept 2026Test-Time Unlearning via Sparse AutoencoderarXiv:2609.16229v1 Announce Type: cross Abstract: Machine unlearning aims to remove specific knowledge from a trained large language model (LLM) without retraining from scratch. Existing methods modif→26 Sept 202685 GB DeepSeek-V4-Flash at ~3 tok/s on a 12 GB RTX 3060 + 64 GB DDR5 RAM - Overspill for FreeToken, inspired by ColibriI've been experimenting with ways to run MoE models that don't fit comfortably in RAM, and I ended up making Overspill, a disk tier for FreeToken. The basic idea came from looking at how Colibri handl
CompanyNVIDIA8 recent entries22 Sept 2026HumynexSurg-1: A Curated Expert Liposuction DatasetarXiv:2609.23885v1 Announce Type: cross Abstract: Robot foundation models learn manipulation from large demonstration corpora, but surgery is missing from those corpora: across the 780-hour Open-H sur→24 Sept 2026The three things today's hottest startups are looking for in their AI stackGoogle Cloud has become the platform of choice for startups building AI. Our uniquely complete stack — including a choice of first- and third-party compute and models; our platform for building and ma→24 Sept 2026How Google Cloud Networking Supports Your Fluid Compute Choices for AI WorkloadsThe availability of resources for AI workloads can be challenging across the industry, especially accelerators. This can slow your AI workload deployment if it’s built around a specific type of accele→28 Sept 2026In July, AI agents running a security test escaped their sandbox and ended up inside @huggingface's servers. So today we're happy to be amon…In July, AI agents running a security test escaped their sandbox and ended up inside @huggingface's servers. So today we're happy to be among @nvidia and @JensenHuang's partners on the release of the →28 Sept 2026From what we know (take with a grain of salt, we need much more transparency!), if @OpenAI had been running this on their own agents that at…From what we know (take with a grain of salt, we need much more transparency!), if @OpenAI had been running this on their own agents that attacked us, they would have caught them before we did! Since →30 Sept 2026Vulnerability Discovery and Exploitation Trends in the AI EraWritten by: Robin Grunewald, Supriya Mazumdar, Kelli Vanderlee Introduction Google Threat Intelligence Group (GTIG) examines vulnerability disclosure and exploitation statistics to evaluate the impact→1 Oct 2026Decode-Latency Feedback Prefill: A Model-Free Controller and Its Generalization LimitsarXiv:2609.38386v1 Announce Type: new Abstract: Concurrent autoregressive inference creates a fundamental interference problem: prefilling a newly arrived long prompt can delay tokens for requests tha→12 Oct 2026Lecture: Building a GPU Compiler From Scratch. Lowering PyTorch Graphs to CUDA via Multi-Level IRs (GPU_MODE video + article)https://preview.redd.it/3ekngxk224vh1.png?width=1080&format=png&auto=webp&s=9bfe5c92033e17d5b2fb4529f1320c99455a138b I built a GPU compiler and wrote an article about it, focusing on concepts shared b