Updated
Updated
Items with an AI score under 20 are hidden. Show low-relevance items
merve@mervenoyannAI score25AIMerve Noyan has released a slide deck on running AI locally, covering prefill versus decode, MoE versus dense models, VRAM versus unified memory, quantization, and speculative decoding. The deck is built around llama.cpp and is free to reuse with attribution.
Design Arena@DesignArenaAI score40AIGoogle DeepMind's Nano Banana 2.1, Google's latest image generation and editing model, is now available on Design Arena. The model brings improvements in visual design, mask-based editing, and subject consistency, aiming to produce more natural-looking images with greater control across editing workflows.
eric zakariasson@ericzakariassonAI score22AIGrok can turn a pasted article or PDF into a podcast where two hosts discuss the content. Each script line is voiced as soon as it is written, so playback begins before the full script is finished. The example code is available in the xai-cookbook repository on GitHub.
eric zakariasson@ericzakariassonAI score22AIThe xai-cookbook's x-sentiment-tracker lets users pick a topic, then has Grok run one X search per day over the last 10 days and score each post from -1 to +1. The dashboard displays the sentiment split, day-by-day movement, and the posts behind each score.
eric zakariasson@ericzakariassonAI score37AIThe xai-cookbook example uses Grok to generate a Tailwind React component from a dropped-in screenshot. The page then screenshots its own render, overlays it on the original, and feeds the mismatches back so Grok can refine the layout, raising the match from 60% to 77% in one run.
eric zakariasson@ericzakariassonAI score32AIA pipeline built with Grok takes a single product photo and produces an eight-second vertical ad, writing the brief, generating three scenes, selecting the best one, animating it, and adding a voiceover. Each run costs about $1.35, and the code is available in the xai-cookbook repository on GitHub.
eric zakariasson@ericzakariassonAI score36AIxAI's storyboard-to-film example uses grok-4.7 to plan four shots from a one-line premise, then Grok Imagine draws and animates each one with text-to-speech narration. Every shot is an edit of the first keyframe, which keeps the main character consistent across scenes. The code is available in the xai-cookbook repository on GitHub.
eric zakariasson@ericzakariassonAI score29AICursor has added five apps to its cookbook, all built on the new SpaceXAI TypeScript SDK. The apps cover premise-to-short-film, picture-to-video ads, screenshot-to-React-component, X posts-to-sentiment dashboard, and link-to-podcast conversion. Demos and code are available in the post.
LangChain@LangChainAI score46AILangChain's Sydney Runkle presents a four-step method for building a model router into a coding agent harness: understanding tasks, understanding models, building the router, and tracking task outcomes. The background post says the router cut costs by 64% without reducing quality by sending tasks that do not need a frontier model to cheaper models.
Santiago@svpinoAI score32AIGumloop's Agent Browsers let agents perform browser-based tasks without an MCP or API, with the browser running on Gumloop's infrastructure rather than the user's desktop. The feature includes built-in account management with a vault, persistent browser profiles, 1Password integration, live viewing, and session replays. Users can also reuse their workflows.
👩💻 Paige Bailey@DynamicWebPaigeAI score20AIGoogle's Gemini Nano Banana 2.1 image model is available on fal from day zero, according to Paige Bailey's post thanking fal. The fal background adds that it generates significantly faster than Nano Banana 2 and improves visual design, mask-based editing, and subject consistency.
AIChina's booming artificial intelligence sector has kept local researchers at home, but it has not yet attracted overseas scientists despite a government push to recruit them.
AMD@AMDAI score24AIOpenAI selected AMD EPYC "Turin" CPUs to host its Jalapeño AI ASIC deployment, citing platform strength, partner experience, and reducing unnecessary risk. The post, which links to a Tom's Hardware report, says AMD aims to deliver reliable solutions for leaders facing aggressive AI performance goals.
Georgi Gerganov@ggerganovAI score28AIllama.cpp added day-0 support for EmbeddingGemma 2, with GGUF builds available on Hugging Face under ggml-org. The post links to the embeddinggemma-2-GGUF model page as the way to run it.
Claude@claudeaiAI score25AIAnthropic's Claude Startup Stack combines offers from companies building with Claude, including Linear, Lovable, ElevenLabs, Granola, and Hex. Startups get discounts and credits worth up to $45,000 on tools spanning sales, design, data engineering, and more.
ARC Prize@arcprizeAI score39AIARC Prize reports that Grok 4.7's reasoning-token usage correlates with its ARC-AGI-2 public scores. The low setting averaged about 10k tokens per test-pair attempt and scored 25%, while medium through xhigh used 86k to 120k tokens and scored 57.5% to 60%. ARC Prize suggests the lower token usage may help explain the low setting's lower score.
ARC Prize@arcprizeAI score31AIARC Prize published full Grok 4.7 results from the xAI model on its public leaderboard. The post links to the leaderboard, a GitHub repository for reproducing the results, and the ARC Prize testing policy.
ARC Prize@arcprizeAI score28AIGrok 4.7 scored 1.8% on ARC-AGI-3 in the standard harness, which lets models carry notes between turns, slightly below the 2.1% reported for Grok 4.7 in that setting. In a new provider adapter harness that preserves opaque reasoning and enables auto compaction, the score rose to 10.0%.
ARC Prize@arcprizeAI score29AIOn ARC-AGI-2, Grok 4.7's best score is 61.4% at $2.01 per task, down from Grok 4.6's 67.1% at $0.76 per task. The post notes cost per task rose 166% despite identical input and output token pricing.
ARC Prize@arcprizeAI score22AIGrok 4.7 used more reasoning tokens on average than Grok 4.6 on ARC-AGI-2 semi-private tasks at medium, high, and xhigh reasoning levels, raising its cost per task. Per test-pair attempt, medium used 136% more tokens, high 125% more, and xhigh 173% more, while low used 27% fewer. A chart compares the two models at xhigh on the 20 public tasks where Grok 4.7 increased token use the most.
ARC Prize@arcprizeAI score38AISpaceXAI's Grok 4.7 scored 90.2% on ARC-AGI-1 at $0.64 per task, higher than Grok 4.6, according to ARC Prize. It reached 61.4% on ARC-AGI-2 at $2.01 per task and 1.8% on ARC-AGI-3 under the standard harness ($2.7k), or 10.0% with the provider adapter harness ($4.8k), both lower than Grok 4.6 on those two benchmarks.
👩💻 Paige Bailey@DynamicWebPaigeAI score54AIGoogle's EmbeddingGemma 2 is an open embeddings model for on-device use that covers code, image, video, audio, and text. It comes in modular sizes from 270M text/code to 740M full multimodal, supports Matryoshka truncation down to 128 dimensions, and reports a 14% gain on MTEB Code over v1 under an Apache 2.0 license. The author's post highlights the release and a Hugging Face demo, while the benchmark table compares it with several models.
lauren@potetoAI score39AILauren Tan describes using Grok Bot to connect apps like Slack, email, and CRM so it can gather context and decide what work to do. She also explains scheduled and event-triggered routines, plus handing engineering tasks to Cursor cloud agents, with a daily feedback-to-merge loop example.
Krea@krea_aiAI score36AIKrea has made Nano Banana 2.1 available on its platform, promising better prompt understanding, sharper edits, and stronger subject consistency. The model now supports generations up to 4K resolution.
Khazix@Khazix0918AI score32AIThe author spent two days building an internal enterprise platform on all Feishu data and a self-built MCP, replacing Feishu's native workbench to handle Vibe Coding app deployment, security, permissions, and app and skill circulation. A custom configuration interface is planned so employees can use their own Agents to modify their homepages and data pages.
Santiago@svpinoAI score34AIAmpersand lets developers connect an AI agent to a customer's Salesforce by configuring object and field mappings. The platform then handles API calls, authentication, token refreshes, and retries, which the post presents as a major advantage given the difficulty of managing multiple Salesforce accounts.
AIAt the Machine Earning AI Summit in San Francisco, Town co-founder Jean-Denis Greze said personal AI agent purchases will initially require human approval, with mistakes budgeted in like credit card fraud. Lead Bank CEO Jackie Reses raised liability questions, asking "If a model hallucinates, whose responsibility is that?" Chime co-founder Ryan King said AI agents will make switching banks easier, though regular people are not yet ready to let AI manage their money.
Joshua Achiam@jachiam0AI score26AIJoshua Achiam argues that many in Silicon Valley wrongly define success as controlling the largest share of matter and energy in the universe, a goal beyond human limits that can drive them toward successionism. He contends that success instead comes from inner lives, relationships, creativity, cooperation, and striving to overcome human limitations, which could make them less pessimistic.
Dongxi NLP@dongxi_nlpAI score34AIMistral AI has released Mistral Large 4, a model nicknamed "Le Chonk," according to a post by Dongxi NLP. The post also highlights "sovereign AI" as a keyword, tying the release to the theme of national or independent AI capability. No specifications, benchmarks, or pricing are given in the post itself.
Google Flow@FlowbyGoogleAI score20AIGoogle Flow says it partnered with Divine to create the music video for "Tequila Dance," framing the project as a showcase of how technology can amplify human expression. The post provides no further details about the tools or production process used.
👩💻 Paige Bailey@DynamicWebPaigeAI score60AIGoogle's Nano Banana 2.1, model gemini-nano-banana-2.1, is now available and is said to outperform the previous Pro model at about a quarter of the price, $0.034 per image versus $0.134. The quoted post lists improved instruction following, better in-image text rendering, grounding with Google Image Search, and up to 5 characters of consistency plus 14 reference images. It is available in Google AI Studio, the Gemini API, Google Cloud, the Gemini app, and Flow. The author's own post is a playful reaction praising its design ability and shows a generated vegan basketball food truck poster.
AIMicrosoft Research podcast host Chad Atalla interviews Jennifer Neville, a partner research manager at Microsoft, about her path into AI and her work on how evaluation exposes surprising failures in models tested beyond traditional benchmarks. The conversation also covers practical guidance for working with current AI systems and why examining underlying data matters when results defy expectations.
Unsloth AI@UnslothAIAI score62AIGoogle released EmbeddingGemma 2, a 740M-parameter open embedding model under Apache 2.0 that combines a 270M text model with vision (170M) and audio (300M) encoders. The 270M text model can run locally with 0.5GB of RAM, and the full multimodal model with 1GB, and Unsloth provides GGUF files and fine-tuning support.
SGLang@sgl_projectAI score46AISGLang now supports EmbeddingGemma 2 from Google DeepMind on day zero. The multimodal embedding model maps text, code, images, video, and audio into one shared 768d space, with 8K context and 100+ languages. Its modular encoders range from a 270M text-only footprint to 740M for all modalities, with Matryoshka embeddings.
Google@GoogleAI score38AIGoogle has made EmbeddingGemma 2 available to download on Hugging Face and Kaggle. Availability in the Gemini Enterprise Agent Platform Model Garden is coming soon.
Google@GoogleAI score43AIGoogle's EmbeddingGemma 2 is a 740M-parameter embedding model that outperforms some models more than twice its size while using about 191MB to 567MB of active RAM. It offers an 8K context window, 4x larger than the first generation, and can process up to 5.5 minutes of audio, 29 images, or 58 video frames in one pass.
Google@GoogleAI score44AIGoogle says EmbeddingGemma 2, paired with Gemma 4, enables efficient on-device retrieval-augmented generation with a lower memory footprint. In this setup, EmbeddingGemma 2 retrieves local files and Gemma 4 reasons over them to produce grounded answers while keeping data private.
Tibo@thsottiauxAI score23AICodex now offers an "Approve for me" permission mode, which automatically reviews actions instead of requiring manual approval. To enable it, open the permissions menu below the composer and select "Approve for me."
Gergely Orosz@GergelyOroszAI score37AIAccording to Gergely Orosz, GitHub now records more AI-generated pull requests per month than human-written ones. He says the volume of AI-generated PRs is about three times what it was in December 2023.
ElevenLabs@ElevenLabsAI score45AIElevenLabs has introduced ElevenAgents Architect, which lets team members manage agents from within ElevenAgents or from Claude, Claude Code, ChatGPT, Cursor, and Grok Bot. The post presents this as a way for any team member to manage agents wherever they work.
