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AIask your Grok @Bot to monitor X for user feedback on your products! send feature requests to your issue tracker, bug reports to a cursor cloud agent or project to triage and fix the loop is complete
AIi love the idea of identicons, giving ephemeral data some identity. now having opus come up with deterministic generative rules for chat icons based on uuid
AIThe post says users can ask the Grok bot to find all feedback about what they are building, summarize it, and propose a plan to address it, without needing an X account or connector. The background post notes that Grok Bot can now search, read, and monitor X.
AIvLLM's bounded sliding-window attention (SWA) replay reruns only each request's last 128 tokens after a prefix hit, instead of replaying 40 × 128 tokens. With CUDA graphs, prefill compute drops 30–40% for layers 21–39.
AIThree weeks after launch, vLLM's serving of DeepSeek-V4.1-Flash runs 1.9× faster at low concurrency and delivers 5.3× the throughput at 150 TPS per user on SemiAnalysis AgentX. The post offers interactive figures explaining how these gains were achieved.
AIOpenAI says developers can now build richer, more interactive ChatGPT plugins using plugin extensions. The extensions support launching plugins from the sidebar, @ mentions, and file viewers, with a walkthrough shared alongside the post.
AIAnthropic's ClaudeDevs account recommends compatible browser drivers from Browser Use, Browserbase, E2B, and Daytona for computer-use tooling. Developers can also write their own driver based on the example drivers in the quickstart. Quickstart and documentation links are provided for the computer-toolset setup.
AIasking for a friend who only has access to cursor, not grok bot
AIOpenAI Developers highlighted a neighborhood bar simulation game built by @lizziepika, in which players run a COVID-conscious lesbian bar in western Massachusetts through a chaotic Saturday shift. The game was built with OpenAI's tools for a modretro chromatic game jam, and the developer shared her agent sessions via Entire.
AIMicrosoft's Foundry blog guide advises keeping existing Azure Document Intelligence workloads that meet production requirements. It recommends evaluating Azure Content Understanding for high-variation, unstructured, reasoning, RAG, or multimodal document scenarios, and for new cloud OCR or layout workloads.
AIAnthropic's Lydia Hallie says API-billed users can set Haiku 5.5's autocompact window to 100K to remain in the cheaper token pricing tier. The setting is saved per model, so it applies only to Haiku, including subagents, and is configured with /model haiku followed by /autocompact 100k. Per the background post, prompts under 100K tokens cost $0.10/$0.50 per million tokens with $0.01 cache reads, versus $0.50/$2.50 with $0.05 cache reads above 100K.
AIWorth reading — teach according to each student's aptitude! Sherpa: Teaching LLMs to Teach Adaptively
AIUnsloth says users can train their own Decision Model on as little as 2.5GB of VRAM using small models such as Laya. Training is done through a UI, with a video tutorial and guide linked from the post and the project's GitHub repository.
AIGoogle for Developers promoted a full walkthrough video covering Antigravity and Stitch by Google. The post itself gives no further details about features, capabilities, or release information beyond linking to the video.
AIGoogle DevRel's James O'Reilly compares two ways Antigravity exposes local MCP tools from Agent Plugins to the model. Eager loading registers each tool as a top-level function with its full schema in every turn's system prompt, which speeds calls but consumes fixed tokens. Lazy loading, the plugin default, exposes tools through a proxy call_mcp_tool and reads schemas on demand, saving baseline context at the cost of an extra discovery step.
AIDatabricks announced general availability of on-behalf-of-user (OBO) authorization for Databricks Apps, letting apps act with the signed-in user's identity so Unity Catalog enforces that user's row filters and column masks. Developers can request narrow API scopes such as sql:restricted-query, which allows only read-only SQL queries, while apps keep a dedicated service principal for app-owned operations.
AIUnsloth now lets users train their own decision models locally on just 3GB of VRAM by fine-tuning Qwen, Gemma, and Llama with a Clef head. The post says this raises accuracy from 30% to as high as 78%, and the tool is available through Unsloth Desktop.
AIAllie K. Miller is promoting an AI Agent Mastermind, framing AI superuser skill as a mindset and behavior shift rather than knowing where the buttons are. The post says the offer includes $200 off for less than three more hours, with full price starting when the third cohort launches on Oct 19 or when seats run out. It notes the first two cohorts sold out.
AIUnsloth released an open-source method to fine-tune LLMs into decision models that run locally, lifting Qwen3.5 0.8B's aggregate accuracy from 20.7% to 74.3% across three decision benchmarks. The team used a Clef head with LoRA (r=64) for one epoch on just 4GB VRAM, with the approach applicable to models such as Qwen3.8 and Gemma 4. A guide and notebooks are available on the Unsloth documentation site and GitHub.
AINVIDIA describes using digital twins and AI agents to validate changes to AI factory infrastructure, which combines GPUs, CPUs, switches, DPUs, and SuperNICs with schedulers, orchestration services, security controls, and a fast-changing software stack. The source frames the challenge as confirming that hardware, software, and policies work together for target workloads before deployment. The available excerpt does not give further detail on specific tools or results.
AIMost language models split text into subwords from a fixed vocabulary, which can obscure spelling details and fragment meaningful units in code or math. Byte-level models instead work directly with the bytes computers use to represent text.
AIAWS Machine Learning Blog argues that the traditional hours-saved ROI model, built for rule-based RPA, misses most of the value of agentic automation. It proposes an Agentic Value Model covering time savings, exception handling, decision quality, and change resilience, with value counted only when tied to a defined P&L mechanism and owner.
AIQlik built Qlik Answers, a natural-language assistant that returns sourced answers from knowledge bases, analytics apps, glossaries, and documents, using Amazon Bedrock for model access. The system routes each question through specialist agents and retrieval on Amazon OpenSearch Service, with Amazon Bedrock Guardrails applied to every request and response. Qlik serves more than 40,000 customers across regions, using Amazon SageMaker AI as an in-Region fallback when models are not yet available on Bedrock.
AIThe AWS Machine Learning Blog describes an automated remediation workflow that acts on AWS DevOps Agent investigation results. Amazon EventBridge triggers a Lambda durable function that uses Amazon Bedrock to propose fixes from an allowlist of tools, running read-only actions autonomously and pausing for human approval before infrastructure changes. The post demonstrates the flow with a Lambda function whose 3-second timeout is raised to 30 seconds after a single approval.
AIAWS ran a six-week program pairing non-engineering professionals with mentors and tools like Amazon Bedrock AgentCore and the Strands Agents SDK to build working AI prototypes. Four participants with no engineering background built WealthWise, a multi-agent financial advisory tool with five agents on Amazon Nova models, which won first place. The article says participants who completed the phased program retained three times more practical skills than those in two-day intensive formats.
AIRowan Cheung says he built an app with GPT-6 Astra that selects his outfit each morning using live weather, with himself as the model. He describes the setup as uploading full-body and face photos, adding height, sizes, fit notes, and preferred and refused colors, then pasting a master prompt and letting it build for 1 to 2 hours.
AIMichael Lynch warns software bloggers against meandering intros, misjudging reader knowledge, assuming readers have read earlier posts, excessive formality, and overreliance on links instead of explaining terminology. He advises that an article should still make sense even if readers click no links. Simon Willison endorses the advice and argues that writing in one's own voice matters as more developers delegate writing to AI.
AIGoogle AI linked to a blog post on identifying AI-generated content, pointing readers to its SynthID approach from Google DeepMind. The post itself gives no further details, so the summary cannot specify methods or results.
AIGoogle's SynthID portal at synthid.com lets users upload an image, video, or audio file to check it. The portal scans the file for a SynthID watermark from Google or its partners, which indicates AI generation.
AIAllie K. Miller outlines three agent workflows that work like an executive assistant and need only calendar access. The agent screens junk signups and sends only high-signal email recaps, routes speaking and advising inquiries with org research and a worth-your-time verdict, and builds a living CRM from forwarded emails that flags relevant contacts for follow-up.
AILauren Tan recommends new Grok Bot users first connect regularly used apps such as calendar, Slack, issue tracker, CRM, and Google Drive so the bot has work context and needed tools. She advises starting with one primary bot before adding specialized bots, which can be designed or chosen from the bot marketplace.
AIDAIR.AI has introduced MCP tools that let Codex, Claude, or Grok bots discover and explore a curated index of top AI papers. The index covers papers the author featured on X over the last couple of years, and the tools support summarizing papers, building literature reviews, finding SOTA results, and visualizing papers. Further benchmarks and regular additions are promised in the coming weeks.
AIPixVerse is promoting a plugin that users can try through a marketing link on its app platform. The post gives no details on the plugin's features, supported models, pricing, or availability beyond the link.
AIThe PixVerse plugin enables video creation from text, images, or video references inside the chat interface. Users select the plugin, describe a scene or add a reference, then specify model, duration, resolution, and aspect ratio before generating.
AIOrange AI released "podcast-to-article," a free MIT-licensed open-source skill that reorganizes podcast transcripts by topic rather than speaker timeline. The author says it keeps every number and original quote while cutting off-topic tangents, and that early readership and engagement were good.
AIContact center automation uses AI to handle customer support workflows with little or no human intervention, including voice, chat, and email. Unlike traditional IVR systems, AI contact center software understands intent, retrieves customer data, and routes complex cases to human agents. The guide cites Klarna, Rohlik, and Getmobil deployments of ElevenAgents, with Klarna offering voice support to 35 million US customers.
AIThe final post in O'Reilly Radar's four-part post-training series walks readers through implementing the classic ChatGPT pipeline on Qwen2.5-1.5B, covering SFT, reward model training, and PPO. The walkthrough uses torchtune for SFT and verl, a Ray-based RL framework from ByteDance's team, for reinforcement learning. The author says the goal is hands-on understanding rather than reproducing InstructGPT, which took a large team and thousands of GPU-hours.
AITeknium says a plugin from @altryne's current project should be added to the plugin catalog. The post is a brief endorsement and does not describe the plugin's functions. Background from @tonysimons_ says Hermes is getting a local video editor for editing user footage with 42 FFmpeg scripts and no cloud or API key required.
AITrying to have Opus 5.5 build a website that explains Qimen Dunjia (奇门遁甲).
AIEvery launched the Every Agent, a Slack-based agentic coworker whose token costs it passes on to customers without markup. Engineer Paridhi Agarwal explains how she made the agent more token-efficient, and the newsletter says the company moved from personal agents to a single shared company agent.