Latest in AI
TTS Benchmark Revamped with Objective Standards and Blind ELO Voting (46 Models)
r/LocalLLaMA top day49 days agoBenchmarkReddit user UkieTechie has revamped their TTS benchmark platform with objective scoring standards and live blind voting, now covering 46 speech synthesis models. Hosted on Hugging Face Space, the arena lets users vote on audio quality without knowing the model name, generating a dynamic ELO leaderboard. The project is open-source on GitHub and welcomes community submissions of new models.
From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI
GitHub Blog49 days agoTutorialGitHub Copilot CLI now supports custom agents that understand your specific tech stack and team conventions. This feature transforms one-off natural language terminal prompts into standardized, repeatable workflows. It's especially useful for teams wanting consistent, auditable processes for deployments, code review prep, or environment setup.
'Sloppenheimer:' Amazon Employees Mock the Company's AI on Slack
Hacker News (AI keywords)49 days agoCommentaryAmazon employees have been using the term 'Sloppenheimer'—a portmanteau of 'slop' and 'Oppenheimer'—to mock their company's AI products on internal Slack channels. The incident highlights a stark gap between Amazon's aggressive public AI messaging and internal employee skepticism about actual output quality. It reflects a broader industry backlash against AI-generated low-quality content across major tech platforms.
Introducing North Mini Code: Cohere's First Model For Developers
Hugging Face Blog49 days agoReleaseCohere officially introduces North Mini Code, the first model in its North lineup explicitly aimed at developers rather than enterprise API customers. The 'Mini' designation signals a compact, cost-efficient model suited for IDE integrations, CLI tools, and real-time code completion. This marks a strategic expansion for Cohere beyond B2B into the broader developer tooling ecosystem.
Judge Learns Both Sides Used AI, Cancels Trial, Kicks Everyone Off the Case
Hacker News (AI keywords)49 days agoIncidentIn a rare legal incident, a judge found that attorneys on both sides of a case had used AI tools in their legal work. The judge responded by canceling the trial entirely and dismissing all lawyers involved. The case highlights growing judicial frustration with unchecked AI use in court filings and the serious professional consequences that can follow.
FCC Wants to Kill Burner Phones by Forcing Telecoms to Verify All Customers' IDs
Hacker News (AI keywords)49 days agoRegulationThe FCC is proposing rules that would require telecom carriers to verify the identity of every customer before activating service. This move would eliminate anonymous prepaid 'burner phones,' long used by journalists, domestic abuse survivors, and privacy-conscious individuals. Critics warn the policy could undermine digital privacy and disproportionately harm vulnerable populations, while proponents argue it would curb fraud and criminal activity.
Fluid, natural voice translation with Gemini 3.5 Live Translate
Google DeepMind Blog49 days agoReleaseGoogle DeepMind has released Gemini 3.5 Live Translate, bringing near real-time and naturally flowing voice translation to three major Google platforms. The feature integrates into Google AI Studio for developers, Google Translate for general users, and Google Meet for remote collaboration. The emphasis on naturalness — not just speed — marks a meaningful step forward for AI-powered multilingual communication.
Can LLMs Beat Classical Hyperparameter Optimization Algorithms?
Hacker News (AI keywords)49 days agoBenchmarkThis paper investigates whether LLMs can serve as effective hyperparameter optimization (HPO) agents, competing with established classical methods such as Bayesian optimization, TPE, and random search. The study likely employs a systematic evaluation framework where LLMs iteratively suggest hyperparameter configurations based on task descriptions and historical evaluation results. Findings aim to clarify the practical potential and limitations of LLMs in AutoML pipelines.
Microsoft AI Chief Mustafa Suleyman Walks Back Comments on AI Replacing White-Collar Jobs
The Verge AI49 days agoCommentaryMicrosoft AI CEO Mustafa Suleyman walked back his previous comments about AI automating white-collar jobs like lawyers and accountants. Speaking on the Decoder podcast, he clarified that AI is meant to help these professionals complete specific tasks, such as drafting emails, rather than replacing their entire roles. This shift highlights the ongoing industry effort to balance AI capability marketing with public concerns over job displacement.
Warning: OpenCode Go/Zen Has No Account or Data Deletion Feature
r/LocalLLaMA top day49 days agoIncidentA Reddit user warns that OpenCode Go/Zen provides no mechanism for users to delete their account or personal data. Several GitHub issues have been filed but mostly ignored; one official response only said deletion would 'probably' be added eventually. For privacy-conscious developers, this is a significant red flag before signing up to the platform.
Build a Basic AI Agent from Scratch: Long Task Planning
Hacker News (AI keywords)49 days agoTutorialThis source appears to be a tutorial about constructing a basic AI agent from scratch. Based only on the title, its focus is likely long-task planning: how an agent breaks a larger objective into steps and works through them over time. No article body was provided, so specific implementation choices, model providers, tools, code examples, or evaluation results cannot be confirmed.
Single-slot half-height PCIe V100 with NVLink appears in China
r/LocalLLaMA top day49 days agoHardwareA r/LocalLLaMA post says a Bilibili creator has shown a single-slot, half-height PCIe V100 with NVLink on a custom PCB. The card is described as 16 cm long, passively cooled by default, capped at 75W, with another version supporting up to 300W. The 16GB model is expected around or below ¥1500, with a 32GB version reportedly planned, but it is not yet available for purchase.
Apple’s AI promises are finally, almost, sort of, here★ 72
The Verge AI49 days agoCommentaryApple kicked off its annual developer conference with bold AI promises centered around a revamped "Siri AI" and Apple Intelligence. While CEO Tim Cook touted these as boundary-pushing innovations, the announcements largely represent Apple playing catch-up in the generative AI race. The slow, phased rollout suggests Apple is still struggling to match the rapid pace of competitors like Microsoft and Google.
Rick & Morty
r/LocalLLaMA top day49 days agoCommentaryThis r/LocalLLaMA top-day post is a short image meme titled “Rick & Morty.” The only accompanying text says, “nobody expected HF there,” suggesting surprise at HF appearing in the image’s context. There are no technical claims, model details, releases, or benchmarks, so its value is mainly as a small signal of community culture around Hugging Face / HF and local LLM discussions.
Google Introduces Gemma 4 12B: A Unified, Encoder-Free Multimodal Model★ 85
Google DeepMind Blog49 days agoReleaseGoogle DeepMind has unveiled Gemma 4 12B, a next-generation open-weights model featuring a unified, encoder-free multimodal architecture. By eliminating the traditional separate vision encoder (such as ViT), it processes diverse modalities directly within a single Transformer network. This design simplifies training, reduces inference latency, and enhances cross-modal alignment, marking a significant milestone for open-source AI.
PR-CAD: Progressive Refinement for Text-to-CAD Generation with LLMs
Hacker News (AI keywords)49 days agoPaperThis arXiv paper introduces PR-CAD, a framework for controllable and faithful text-to-CAD generation with large language models. It treats CAD creation and editing as one progressive refinement process rather than separate tasks. The authors curate an interaction dataset and report state-of-the-art controllability and faithfulness on public benchmarks.
Google DeepMind Launches Initiative to Power the Future of Robotics in Europe★ 70
Google DeepMind Blog49 days agoBusinessGoogle DeepMind has unveiled a strategic initiative to power the future of robotics in Europe. The program focuses on advancing Embodied AI and physical AI through deep collaborations with European academic institutions and industry partners. By combining DeepMind's AI expertise with Europe's strong engineering foundation, the initiative aims to accelerate breakthroughs in robotic generalization and safety.
PSA: Throttle GPU Power Limits for Major Energy Savings with Minimal Inference Performance Loss
r/LocalLLaMA top day49 days agoHardwareA Reddit user reminds the local LLM community that throttling GPU power limits offers outsized energy savings with minimal performance cost. On dual Radeon VII cards, cutting power from 250W to 100W per card resulted in less than 10% drop in inference speed. LLM inference is memory-bound rather than compute-bound, making it uniquely tolerant of reduced GPU clock speeds compared to training or rendering tasks.
Sandstone Raises $30M Series A to Bring AI to In-House Legal Teams
TechCrunch AI49 days agoBusinessLegal tech startup Sandstone has raised $30 million in a Series A funding round. The round was led by Lightspeed Partners, with participation from Sequoia Capital. Sandstone plans to use the funds to develop and deploy AI-driven solutions tailored specifically for corporate in-house legal departments.
Apple’s Best AI Idea Looks a Lot Like Vibe Coding★ 75
The Verge AI49 days agoCommentaryWhile Apple's standard AI features like chatbots and image generation play catch-up, its integration of AI with Shortcuts stands out. By allowing users to generate complex multi-app workflows and automate Safari tabs using simple natural language, Apple is bringing "vibe coding" to the masses. This approach shifts the focus from generic AI assistants to highly personalized, OS-level task automation.
Apple Announced a New On-Device Inference Engine for Apple Silicon
r/LocalLLaMA top day49 days agoReleaseApple announced CoreAI at WWDC, which the post frames as a possible future replacement for CoreML and an alternative to MLX, llama.cpp, and torch for optimized on-device inference. Models still need conversion through Python scripts, and current supported models appear mostly from mid-2025. No performance data is available yet; the author expects it may trail MLX on GPU, but Apple’s 20B on-device foundation model claim suggests larger app-bundled models could become possible.
Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
Hacker News (AI keywords)49 days agoPaperEchoing the famous Transformer paper, this work asks whether grep alone is sufficient for agentic search scenarios. The study focuses on 'agent harnesses'—the scaffolding wrapping an LLM, including prompting strategy, tool access, and memory—as the primary driver of search quality. Findings suggest harness design may matter more than the underlying model, challenging the community's focus on model scaling.
Rust-native CPU-only LFM2.5-8B-A1B inference library "bebelm" published as cargo crate
r/LocalLLaMA top day49 days agoNew ToolCommunity developer maximecb has published bebelm, a Rust-native, GPU-free inference implementation of Liquid AI's LFM2.5-8B-A1B model, available on crates.io. Decode speed reaches ~37 tokens/s on a Ryzen 7950x with ~7GB memory footprint; prefill is unoptimized and currently similar in speed to decode. The library supports tool-use callbacks, weight sharing across multiple Agent instances with independent KV caches, and Agent cloning to skip repeated prefill on shared prompts.
Apple Says Its AI is Still Private Even When Running on Google's Servers★ 75
Ars Technica AI49 days agoEthicsApple clarified that running some of its AI models on Google's cloud infrastructure does not compromise user privacy. Through its Private Cloud Compute (PCC) architecture, Apple ensures that all data is processed in secure enclaves with end-to-end encryption. Consequently, Google has zero access to user data, addressing privacy concerns over Apple's cloud partnerships.
Lovable Hits $500M Annualized Revenue with 1 Million New Projects Weekly★ 82
TechCrunch AI49 days agoBusinessAI software development platform Lovable has surpassed $500 million in annualized run-rate revenue (ARR). The company reports that users are now launching over 1 million new projects per week on the platform. This rapid growth highlights a major shift, with users increasingly leveraging AI to build full-scale businesses and replace legacy internal software.
Apple’s AI pitch will live or die by its privacy promise
The Verge AI49 days agoCommentaryThe Verge argues Apple’s WWDC 2026 AI strategy centers on privacy rather than raw capability. Apple says Siri AI and Apple Intelligence will run on-device when possible and use Private Cloud Compute only when needed. But reliance on Google Gemini, Google Cloud, Nvidia, Intel, and Google Titan hardware complicates Apple’s original privacy story, even if its default data collection remains more limited than rivals.
How an e-scooter founder raised $5 million to build space data centers
TechCrunch AI50 days agoBusinessEuwyn Poon, co-founder of e-scooter company Spin, has raised $5 million for his new startup, Orbital. The company aims to launch 10,000 space-based data centers into orbit. By moving compute infrastructure into space, Orbital seeks to bypass Earth's power and cooling constraints while providing edge computing capabilities directly in orbit.
Show HN: Gravity – Interactive Solar-System Simulator from Newton to Einstein
Hacker News (AI keywords)50 days agoNew ToolGravity is an interactive, web-based solar system simulator that lets users explore celestial mechanics in their browser. It uniquely bridges classical Newtonian physics and Einstein's general relativity, allowing users to visualize and compare orbital behaviors under different gravitational models. It serves as an engaging educational tool for physics enthusiasts and students alike.
CSS: The Unavoidable Bad Parts
Hacker News (AI keywords)50 days agoTutorialThe post frames CSS as learnable in a useful subset, but full of surprising defaults and edge cases. It covers semantic HTML, wrappers, layout, browser defaults, resets, classless CSS, selectors, box sizing, margins, flexbox, responsiveness, pixels, font sizing, line height, and word breaking. The advice is pragmatic: keep markup semantic, reset inconsistent defaults, understand layout constraints, and test readability across configurations.
Jetson Orin NX Build for Hermes Agent + Benchmarking
r/LocalLLaMA top day50 days agoHardwareThe post describes turning an unused Jetson Orin NX into a compact local LLM server for Hermes Agent testing. The goals were low noise, over 10 tok/s generation, 300 tok/s prompt processing, at least 65K context, and a custom case. After testing Gemma 4, Qwen 3.6, and many quant variants, the author reports Gemma 4 26B A4B UD Q2_K_XL reaching 66K context and 10.21 tok/s near 60K context.