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I'm going to describe a person this post is for, if this is you, I think I can be of some assistance: * you are new to coding * you are blown away by how it unlocks this magical ability that was previously inaccessible without years of training and effort * you've daydreamed…
Google overhauled Search at I/O 2026, replacing blue links with AI agents. The backlash has been swift. DuckDuckGo app installs spiked 30% as users seek a way out.
[https://www.youtube.com/watch?v=ITCklufC25Y](https://www.youtube.com/watch?v=ITCklufC25Y)
[https://www.youtube.com/watch?v=tAPvN-tQpX0](https://www.youtube.com/watch?v=tAPvN-tQpX0)
Developers can now use NVIDIA CUDA Tile programming within large existing C++ GPU codebases to develop highly optimized GPU kernels using tile-based... Source
NVIDIA CUDA 13.3 brings new capabilities and performance optimizations to developers across the CUDA ecosystem. The launch of NVIDIA CUDA Tile programming in... NVIDIA CUDA 13.3 brings new capabilities and performance optimizations to developers across the CUDA ecosystem. The…
NVIDIA CompileIQ tackles one of the hardest problems in performance engineering: finding the compiler options that unlock the best performance for a specific... NVIDIA CompileIQ tackles one of the hardest problems in performance engineering: finding the compiler options that…
I picked up a 7900 XTX earlier which runs qwen3.6-27b fine, but not to my like. Its compute performance is quite unstable for me. With MTP the decode speed can reach 40-60 t/s, but prefill is just too slow. Regardless of whether I used ROCm or Vulkan, the prefill speed varies…
My company started tracking Claude Code usage - tokens and spend, that kind of thing. Now my manager wants me to stack-rank my engineers on "AI performance" using those numbers. I'm not comfortable with it (but I don't have a choice either). Token usage feels like exactly the…
I wasn't even on my computer or Claude on May 25 when they said there was suspicious activity. Any ideas about what I should do? I emailed Anthropic a response but am not sure what else I can or should do. I'm furthered worried that if someone who is trying to do something…
https://preview.redd.it/yspiafvakj3h1.png?width=1460&format=png&auto=webp&s=9d7bd1777fad8b286a21e75df8ae593d39432a8a Got this message when I tried to continue my chat :/ anyone else?
For real tho, 9b, 27b, 122b, I don’t really care at this point, just show us that you still love us.
"BadHost" was found in Starlette, a package with 325 million weekly downloads.
The PrismML team really cooked with these models. They're only \~3GB in size (compared to FLUX.2 Klein 4B, which is \~16GB). Apache-2.0! Official collection on HF: [https://huggingface.co/collections/prism-ml/bonsai-image](https://huggingface.co/collections/prism-ml/bonsai-imag…
https://preview.redd.it/j0ymp70a2j3h1.png?width=746&format=png&auto=webp&s=4cdb70be13ccc99f5ea57556da96d6d81e61d702 i just realize the removed Sonnet 4.5, does that mean the sonnet 4.8 (maybe Opus 4.8 too?) cooming soon? maybe today or tommorow, excited to see new…
About an hour ago, my desktop app began to crap out and I suddenly didn’t have access to my projects or chats anymore. (I’m on my own business plan.) My UI then refreshed with someone else’s chat history where I could click in and read all conversations end to end. Because I…
OpenRouter has raised a $113 million Series B led by CapitalG. Its 5x growth in usage over six months indicates the multi-AI-model future is here.
I’m trying to understand how people think about session and branch hygiene when using Claude. When do you create a brand new session versus continue in an existing one? And when do you create a new branch versus just keep working in the same thread? For example, do people…
Many employers screen job applicants with algorithms built by the same few algorithm vendors. We hypothesize that algorithmic monoculture leads to the same individuals and members of the same racial groups facing rejection. We acquire and analyze a novel dataset of 3 million…
Large language model (LLM) agents rely on reusable skills to solve complex tasks. However, existing skill creation approaches treat skills as isolated and static artifacts, limiting their reusability, reliability, and long-term improvement. We propose MUSE-Autoskill Agent…
Vision-language models (VLMs) commonly formulate visual grounding and detection as a coordinate-token generation problem, serializing each 2D box into multiple 1D tokens that are learned and decoded largely independently. This token-by-token decoding mismatches the coupled…
Modern retrieval agents expose many configuration choices -- LLM, retriever, number of documents, number of hops, and synthesis strategy -- each shaping both answer quality and serving cost. Today, these pipelines are typically hand-tuned once per workload, leaving substantial…
Cellular research and development (R&D) is throttled by six structural processes that each consume months of manual engineering work per iteration: (i) synthesizing new features from standards or research papers into production code; (ii) conformance and interoperability…
Mixture-of-Experts (MoE) has become the de facto architecture for hundred-billion-parameter language models, yet its advantages at sub-billion scales for on-device deployment remain largely unexplored. To close this gap, we present MobileMoE, a family of on-device MoE language…
Reinforcement Learning from Human Feedback (RLHF) is the standard method to align Large Language Models (LLMs) with human preferences. In this work, we introduce alignment tampering, a potential vulnerability where the LLM undergoing alignment influences the preference dataset…
Model internals encode rich information about how a large language model (LLM) processes its training data; however, post-training data engineering largely relies on external signals and ignores rich intrinsic signals lying in model internals. We propose SAERL, a data…
Discrete diffusion models have achieved strong empirical performance in text and other symbolic domains, but, especially for uniform-rate models, they often require many steps to generate a single sample. Existing acceleration methods either rely on training additional…
I was experimenting with a self-optimizing agentic pipeline to climb the benchmark leaderboard (TerminalBench). On a 10-task subset, I got the performance to rise from \~30% → \~90%. That loop worked, so I asked: can the same reflect-and-rewrite step run continuously against…
Recent generative models have largely closed the gap on low-level artifacts - pixel fingerprints, frequency anomalies, upsampling traces - particularly in person-centric and partial-edit settings where the manipulated region is small and surrounded by photometrically authentic…