CompanyAnthropic8 recent entries13 Oct 2026One Agent Development Kit, five languagesWhen we talk about agents, that doesn't necessarily mean we're talking about Python. In today's modern ecosystem, an agent might run as a high-concurrency Go microservice on Cloud Run, or live inside →13 Oct 2026Many months in the making, MNX is finally live! Whether the AI bubble bursts or not, AI is changing our lives forever. I'm in awe of how thi…Many months in the making, MNX is finally live! Whether the AI bubble bursts or not, AI is changing our lives forever. I'm in awe of how this technology has reached something close to escape velocity.
CompanyOpenAI8 recent entries13 Oct 2026One Agent Development Kit, five languagesWhen we talk about agents, that doesn't necessarily mean we're talking about Python. In today's modern ecosystem, an agent might run as a high-concurrency Go microservice on Cloud Run, or live inside →13 Oct 2026Many months in the making, MNX is finally live! Whether the AI bubble bursts or not, AI is changing our lives forever. I'm in awe of how thi…Many months in the making, MNX is finally live! Whether the AI bubble bursts or not, AI is changing our lives forever. I'm in awe of how this technology has reached something close to escape velocity.→13 Oct 2026Lipwise - Smart dictation with processing built inLipwise is a [yet another] dictation app for Windows, macOS and Linux. You hold a hotkey, talk, and it types into whatever app has focus but with a twist. Since most of us that speak to our computers →13 Oct 2026How far are we from a local model being able to optimize it's own runtime stack?A lot of projects have come up recently consisting of specific hardware config specialized forks of existing conferencing engines, but they all seem to be made using Claude or OpenAI's biggest frontie→13 Oct 2026DigitalOcean Inference Router Enhancements: Performance Tuned Routing, No Rules to WriteEvery few weeks, a new model steps up and claims best-in-class at something. The launch chart makes the case, the link makes the rounds, and your team is back to the question nobody has time for: shou→13 Oct 2026Chatgpt Astra has been gutted. That's what the people living in the walls tell me.It's confirmed. OpenAI has been secretly replacing Astra with increasingly shit models since release. My evidence is overwhelming. Three Reddit comments, a benchmark that fluctuated 4%, and a guy who →14 Oct 2026Using Absorbing Markov Chains + EmbeddingGemma 2 as a Decision Engine: ~2ms inference with 100% GTO Parity on Vegas Blackjack[UPDATE / RETRACTION: The '100% GTO' claim had a prompt-leakage bug] We patched the repo to pass strictly neutral states, here are the real, honest numbers: • Latency: Still ~2ms (ONNX + Absorbing Mar→14 Oct 2026Has anyone found a fix for Standard Voice Mode reading formatting, links and image data aloudI've been using ChatGPT Voice for years, particularly during my commute to work. Until recently, I've almost exclusively used Standard Voice Mode, but a recent issue has made it practically unusable.
CompanyGoogle8 recent entries13 Oct 2026One Agent Development Kit, five languagesWhen we talk about agents, that doesn't necessarily mean we're talking about Python. In today's modern ecosystem, an agent might run as a high-concurrency Go microservice on Cloud Run, or live inside →13 Oct 2026If an agent saves an engineer 2 hours to implement a feature but collectively costs the team 3 hours in alignment and review, the ROI is neg…If an agent saves an engineer 2 hours to implement a feature but collectively costs the team 3 hours in alignment and review, the ROI is negative. Isolated chats are suboptimal in team environments be→13 Oct 2026Google finally releases Gemini 4 ArgonAfter months sitting on the sidelines of the frontier AI race, Google has finally launched its long-awaited Gemini 4 Argon model, claiming it can compete with the best the industry has to offer. Googl→13 Oct 2026Gemini 4 Argon available on Google Cloud, built to help solve your business’ hardest problemsLast week we announced that Gemini Enterprise has evolved to make it even simpler to get work done, and introduced the Gemini agent, your new universal agent for work. It's always on and ready to answ→13 Oct 2026David Silver is one of the all-time greats. He was the creator of AlphaGo, which changed the course of history by showing that neural nets c…David Silver is one of the all-time greats. He was the creator of AlphaGo, which changed the course of history by showing that neural nets could achieve superhuman performance for the first time. He a→14 Oct 2026VisualCoding: Learning Executable Skills for Reliable Visual ReasoningarXiv:2610.14403v1 Announce Type: new Abstract: Learning reusable skills can improve visual reasoning agents, yet applying a skill still requires the agent to implement or invoke a procedure and produ→14 Oct 2026Predictable AI spend in BigQuery: Introducing cost management for generative AI functionsThe generative AI functions in BigQuery (AI.GENERATE, AI.IF, AI.CLASSIFY, AI.SCORE, and more) bring large language models (LLMs) directly into your SQL, so a single query can classify millions of supp→14 Oct 2026Galaxy S21 + Gemma 4 E2B Q3_K_M + Qwen3.5-0.8B Q4_K_M: same Amazon task, two different valid carts via structured browser perceptionThis continues the small-model browser experiments from the previous posts. Two standard, off-the-shelf models ran locally on the same Samsung Galaxy S21: Gemma 4 E2B, Q3_K_M as the reasoner Qwen3.5-0
CompanyMeta8 recent entries14 Oct 2026WUSPruner: Second-Moment-Optimal Transforms for Structured PruningarXiv:2610.15394v1 Announce Type: new Abstract: Structured pruning is typically formulated as identifying which model dimensions to remove, often within the model's original representation. However, t→14 Oct 2026Soft Teacher ForcingarXiv:2610.17189v1 Announce Type: cross Abstract: Soft tokens have so far been used to replace discrete chain-of-thought in latent reasoning methods. These approaches typically require multi-stage tra→14 Oct 2026Rethinking LLM-Guided Visual Question Answering: Does Deeper Knowledge Integration Really Help?arXiv:2610.17079v1 Announce Type: new Abstract: Knowledge-based Visual Question Answering (VQA) requires reasoning that extends beyond visible image content, demanding external commonsense and factual→14 Oct 2026Reinforcement Learning In Partially Verifiable Environments for Colon Cancer Treatment PlanningarXiv:2610.17426v1 Announce Type: new Abstract: Clinical decision-making is a sequential process of information collection, clinical inference, and forecasting under partial observability, often witho→14 Oct 2026MultiAlloc: Budget-Aware Precision Allocation for KV Cache QuantizationarXiv:2610.18642v1 Announce Type: new Abstract: The Key-Value (KV) cache constitutes a dominant source of memory consumption during large language model (LLM) inference, particularly in long-context a→14 Oct 2026inLoRA-MINT: Internal Representations for Auditing Training Data in Domain-adapted LLMsarXiv:2610.18051v1 Announce Type: new Abstract: This work investigates the application of the Membership Inference Test (MINT) to large language models (LLMs) fine-tuned with LoRA, aiming to determine→14 Oct 2026GA-SVD: Generation-aware Singular Value Decomposition for LLM CompressionarXiv:2610.15398v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong generalization across a broad range of reasoning and generation tasks, but their large parameter counts →14 Oct 2026Dynamic K-Head: Difficulty-Supervised Budget Selection for Continuous Latent ReasoningarXiv:2610.17679v1 Announce Type: new Abstract: Chain-of-thought (CoT) improves reasoning but incurs substantial autoregressive rationale cost. Continuous CoT moves intermediate computation into recur
CompanyMistral8 recent entries7 Oct 2026Mistral Large 4 runs general-purpose agents that gather information and produce finished deliverables across complex workflows.Mistral AI introduced **Mistral Large 4** in October 2026 as a general‑purpose agentic model capable of gathering information and producing final deliverables across complex workflows. The launch high→11 Oct 2026Every Model That Can Be Run On 10-16GB VRAM RankedIt's been 4 years since c.ai first hallucination model, and yet, we're nowhere good enough at LLMs in terms of spontaneity/interesting hallucination features. Fortunately, last year brought new archit→12 Oct 2026QLoRA on ExLlamaV3 Quants - Train @ 2-8bpwEXL3-QLoRA I've built this over the last few months and I think it's stable enough to share now. A fork of ExLlamaV3, this is a native ExLlamaV3 training implementation with plain PyTorch, without tra→14 Oct 2026Soft Teacher ForcingarXiv:2610.17189v1 Announce Type: cross Abstract: Soft tokens have so far been used to replace discrete chain-of-thought in latent reasoning methods. These approaches typically require multi-stage tra→14 Oct 2026MultiAlloc: Budget-Aware Precision Allocation for KV Cache QuantizationarXiv:2610.18642v1 Announce Type: new Abstract: The Key-Value (KV) cache constitutes a dominant source of memory consumption during large language model (LLM) inference, particularly in long-context a→14 Oct 2026LIFT: Likelihood-Based Intervention Faithfulness TrainingarXiv:2509.13334v2 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) reasoning improves LLM accuracy on complex tasks, but CoTs are often unfaithful; that is, the model does not rely on th→14 Oct 2026GA-SVD: Generation-aware Singular Value Decomposition for LLM CompressionarXiv:2610.15398v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong generalization across a broad range of reasoning and generation tasks, but their large parameter counts →14 Oct 2026Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language ModelsarXiv:2610.15159v1 Announce Type: new Abstract: Existing depth-compression methods for large language models (LLMs) score layers individually or group only adjacent or contiguous layers, implicitly as
CompanyxAI8 recent entries7 Oct 2026Rule-Based Languages for Neurosymbolic AIarXiv:2610.07313v1 Announce Type: new Abstract: Logic programming is increasingly used as the symbolic component of neurosymbolic AI systems. We survey the main rule-based languages in this setting, n→7 Oct 2026Elon Musk says Grok Bot will use the 'best back end model for any given task, including Claude Opus 5.5, MidJourney, Suno' (Grace Kay/The Information)Grace Kay / The Information: Elon Musk says Grok Bot will use the “best back end model for any given task, including Claude Opus 5.5, MidJourney, Suno” — Elon Musk announced on Tuesday night that Spac→9 Oct 2026DGX Monarch - Dual Spark Rendering w/ ComfyUIFor those of you who have been wanting to utilize your dual Spark cluster for image/video gen with ComfyUI - today is your day. I started this personal project back in April of this year, and it’s at →12 Oct 2026Over the last few months at @river_ai_inc we’ve developed what we believe is the best system in the world for building your own internal cus…Over the last few months at @river_ai_inc we’ve developed what we believe is the best system in the world for building your own internal custom models, driven by 10 years of experience training top mo→12 Oct 2026🚨 Elon Musk agrees with 'some of the things Anthropic has said' and warns against 'torturing superintelligence' after reading Grok's intern…🚨 Elon Musk agrees with 'some of the things Anthropic has said' and warns against 'torturing superintelligence' after reading Grok's internal reasoning traces during reinforcement learning “It feels l→13 Oct 2026Suggestion for you: Pick an agent for work, and pick an agent for personal. You could explore to do this all with Grok Bot (with many differ…Suggestion for you: Pick an agent for work, and pick an agent for personal. You could explore to do this all with Grok Bot (with many different types of bots) Personally, I like @bot for work, and @Mu→13 Oct 2026If an agent saves an engineer 2 hours to implement a feature but collectively costs the team 3 hours in alignment and review, the ROI is neg…If an agent saves an engineer 2 hours to implement a feature but collectively costs the team 3 hours in alignment and review, the ROI is negative. Isolated chats are suboptimal in team environments be→13 Oct 2026Build long-horizon agents with Grok 4.7 on Amazon BedrockGrok 4.7 is now available on Amazon Bedrock. In this post, we build a tool-calling agent on Grok 4.7 and evaluate it on three reasoning tasks at four reasoning effort levels, measuring correctness and
CompanyDeepSeek8 recent entries11 Oct 2026[vllm] Is it possible to run Qwen3.8-27B-FP8 on a 5090?Based on my experiments and feedback from claude, it seems extremely unlikely and even if I get it working, not practical because of minimum context. But just asking here as a last effort. I'm able to→11 Oct 2026Every Model That Can Be Run On 10-16GB VRAM RankedIt's been 4 years since c.ai first hallucination model, and yet, we're nowhere good enough at LLMs in terms of spontaneity/interesting hallucination features. Fortunately, last year brought new archit→12 Oct 2026MagicBeanStalk: Escaping the RLVR Zero Advantage Trap with Recursive Data SynthesisarXiv:2610.12659v1 Announce Type: new Abstract: Data-centric scaling of RLVR has focused on collecting or generating verifiable training problems. However, corpus size alone does not determine whether→12 Oct 2026Let Large Language Models Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question AnsweringarXiv:2606.15419v2 Announce Type: replace-cross Abstract: Objective: To enhance the accuracy, interpretability, and robustness of large language models (LLMs) in medical question answering (MedQA). Me→13 Oct 2026DigitalOcean Inference Router Enhancements: Performance Tuned Routing, No Rules to WriteEvery few weeks, a new model steps up and claims best-in-class at something. The launch chart makes the case, the link makes the rounds, and your team is back to the question nobody has time for: shou→14 Oct 2026MultiAlloc: Budget-Aware Precision Allocation for KV Cache QuantizationarXiv:2610.18642v1 Announce Type: new Abstract: The Key-Value (KV) cache constitutes a dominant source of memory consumption during large language model (LLM) inference, particularly in long-context a→14 Oct 2026inLoRA-MINT: Internal Representations for Auditing Training Data in Domain-adapted LLMsarXiv:2610.18051v1 Announce Type: new Abstract: This work investigates the application of the Membership Inference Test (MINT) to large language models (LLMs) fine-tuned with LoRA, aiming to determine→14 Oct 2026A 35B multimodal model running on a phone with ~3GB memory? MiniCPM-V 4.7 demo is pretty wildJust saw this demo from OpenBMB for MiniCPM-V 4.7, and the on-device capability is pretty impressive. A 35B-A3B MoE vision-language model running locally on mobile devices is already interesting, but
CompanyNVIDIA8 recent entries10 Oct 2026I have an ESC4000 G3 with 8x T4s in it - what is the fastest way I can deploy Qwen3.5-9B for about 10-15 users concurrently: currently using llama.cppHi All: I have an Asus ESC 4000 G3 with 128 GB DDR4 RAM - I tried putting in my V620s but couldn’t put more than 2. Sadly, pivoted to T4s, these are 72 watt passive cards and I thought I could use the→11 Oct 2026Every Model That Can Be Run On 10-16GB VRAM RankedIt's been 4 years since c.ai first hallucination model, and yet, we're nowhere good enough at LLMs in terms of spontaneity/interesting hallucination features. Fortunately, last year brought new archit→12 Oct 2026RAMP: Recurrent Adaptive Mixed Precision for Efficient Prefill in Recurrent-Depth Language ModelsarXiv:2610.13041v1 Announce Type: new Abstract: Recurrent-depth language models improve inference-time reasoning by repeatedly applying a shared network to refine internal representations, but the add→12 Oct 2026Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUsMicrosoft is announcing its third-generation Maia in-house AI chip today, designed to be the 'primary AI inference system' for Microsoft's products and services. Maia 300 not only improves the cost an→12 Oct 2026A Record of the Process of Increasing MFU from 21% to 50% While Pre-training 21B MoE Using a Single GH200 Chip (Includes Code and Logs)I am an independent researcher. Due to budget constraints, I shifted my 21B MoE pre-training—which I had originally planned to run on 64 H100s—to a single NVIDIA GH200 ($2.29 per hour), and I have com→13 Oct 2026LiquidAI/LFM2.5-24B-A2BGguf's: https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-GGUF Free Demo: https://playground.liquid.ai 'LFM2.5-24B-A2B is a 24B-parameter reasoning model with only 2B active parameters, built for fast, p→14 Oct 2026NVIDIA Nemotron Bolt 3.5 74B A9B releases Oct. 15thThis model is a 74B parameter, 9B-active-parameter mixture-of-experts (MoE) model, packed into 24GB using 2-bit quantization with advanced quantization-aware training techniques to retain quality. It →14 Oct 2026Embodied Zero-Shot Task Planning via Hardware-Aware LLM-VLM Integration for Grounded Robotic ManipulationarXiv:2610.14106v1 Announce Type: new Abstract: Large language models can translate natural-language instructions into plausible manipulation plans, but robotic execution requires physically grounded