All AI news

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.

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.

AITrying to have Opus 5.5 build a website that explains Qimen Dunjia (奇门遁甲).

AIAnthropic added build-eval and hillclimb commands to its claude-api skill for designing evaluations and iteratively improving applications against them. The article covers eval design principles, including production-representative tasks, headroom and low variance, and guards against overfitting through train/test splits. Two examples report results: a customer support benchmark where cost fell to under half while accuracy rose, and a claude-api skill eval that rose from 66% to 88%.

Why it matters: The article gives a concrete workflow for designing evals and hillclimbing without overfitting, with two worked cost and performance examples that show the tradeoffs.

AIA data analysis agent built by @Sumanth_077 separates generation, deterministic guardrails, and review: Qwen writes read-only SELECT queries, code enforces hard rules such as a single SELECT, SQLite read-only mode, and a 200-line limit, and a separate TypeSafe AI Jev model checks question clarity, SQL relevance, and whether answers are grounded in returned rows. Answers that fail grounding are marked as unverified drafts while the SQL and data are kept for human inspection.

AIThe xAI Cookbook now has ten runnable Grok API examples across three tracks: real-time voice agents, multimodal generation, and live X data analysis. The author says four voice examples show the same Realtime Voice API across WebSocket, WebRTC, Twilio phone, and mobile transports. The four multimodal examples chain understanding, image generation or editing, video, and TTS, with Grok making creative decisions and Imagine models executing them.

AIJerry Liu argues that OCR, long dominated by brittle legacy systems, can be solved accurately and cheaply by applying agentic intelligence. He says a properly tuned agentic OCR dynamically allocates extra compute to complex elements, reviews and corrects failures, and builds semantic meaning across the page. He contends frontier models are overengineered for this task in cost and latency yet still struggle with complex edge cases.

AIInferact and the vLLM community reported a 1.9× low-concurrency speedup and about 5.3× throughput under a 150 TPS constraint for DeepSeek-V4.1-Flash over three weeks. Gains came from SWA bounded replay with CUDA graphs, which cut TTFT by about 30%, and from integrated DeepSeek kernels such as MegaAttention, Mega-mHC, Mega-Gate, and DeepSelect. The post measures these results on the SemiAnalysis AgentX benchmark.

Why it matters: The post breaks down how SWA bounded replay and fused kernels cut prefill and decode costs, a reusable engineering pattern for long-context agentic serving.

AIFireworks' Head of AI Developer Education fine-tuned a 9B Jev-style classifier on Fireworks using plain SFT, public datasets, and two simple tricks. The full recipe is open source so developers can train their own decision classifiers without a frontier lab budget.

AIDevelopers are using OpenAI's Decisions API to route requests to the right model, tool, or agent and to turn scaled inputs into labels, rankings, and scores. The post also lists uses including analyzing images and video frames, choosing buttons or form actions from screenshots, flagging risky tool calls, and categorizing large datasets.

AIBoris Cherny says he used Opus 5.5 with Lean to formally verify the Claude Agent SDK, with a couple of short prompts producing 16 PRs fixing bugs and race conditions. He also reports that TLA+ works well, sometimes combined with Lean to find data flow, concurrency, and state management issues. The post links to his actual prompts as another example.

AIAnthropic's Boris Cherny says Claude works best when prompted like a coworker, with a clear goal and no heavy scaffolding. He says prompts now matter most for stating the desired task, the effort level, and how Claude should verify its result, whereas prompts mattered more in the Sonnet 3.5 era.

AIElvis Saravia argues that building good evals on top of AI systems can put a practitioner at the frontier of their domain or task quickly. He advises readers to learn eval construction, calling it worth the investment. The post responds to Garry Tan's point that agents writing markdown skills on cron jobs can handle most knowledge work.

AINVIDIA's technical blog describes bitwise determinism for large-scale pretraining with Megatron Core, which makes training runs easier to debug, validate, and resume reproducibly. The source says these benefits matter most for models with trillions of parameters trained across thousands of GPUs, where multiple parallelism dimensions, low-precision computation, and distributed checkpointing complicate failure reproduction and fix validation.

AINVIDIA's DOCA GPUNetIO lets GPU applications control networking and data movement directly, rather than routing each transaction through the CPU. The source says host-driven network handling adds latency on the critical path and limits how quickly distributed applications can respond in real time. The provided text is truncated, so details of the unified software stack are not available.

AIAnthropic's ClaudeDevs says Claude Code cloud sessions run each task on a fresh VM, so users can start several at once. The sessions keep running after the user closes their laptop. A field guide covers seven suitable workflows and how to connect GitHub.

AIA developer used Grok Bot to build two Slack team bots, sandcastle for release management and poteto for engineering, automating their release and QA process. Sandcastle DMs contributors PR links, kicks off builds, and runs a fuzz swarm of 10+ Grok 4.7 xhigh agents, while poteto triages and fixes issues via Cursor Projects.

AIDex Horthy (@dexhorthy) announced episode #77 of his AI That Works series, titled "Building a Memory Pipeline," as a live broadcast. The post provides no further technical details about the pipeline's design, tools, or results.

AIAllie K. Miller suggests giving an AI agent a separate email address, which Instinct does automatically, and using it for junk signups so the agent filters that mail away from your main inbox. She compares it to Google Voice for email and argues retail emails will get less attention unless they give people a reason to reach the human inbox.

AIMerve 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.

AIxAI has shared a complete cookbook repository on GitHub, linked at The post gives no further details about the repository's contents or purpose.

AIGrok 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.

AIThe 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.

AIA 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.

AIxAI'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.

AIBoris Cherny, who works at Anthropic, said he asked Opus 5.5 to build an interactive website companion for the latest Acquired episode on Home Depot. He noted that the watercolor illustrations on the site were also drawn by Claude.

AILauren 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.

AIThe 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.

AIReplit announced a livestream titled "Building a Viral Growth Engine," part of its Pro Series. The post provides no further details about the content or speakers.

AIHamel Husain argues that similar wording does not show whether an LLM answer works for a specific application, so teams should check concrete failure modes. He adds that similarity metrics can still help with retrieval evaluation and measuring output diversity.

AIGeorgi Gerganov says users of Qwen3.8-27B with MTP can get extra speed by switching to DFlash speculative decoding in llama.cpp. The command uses --spec-type draft-dflash with --spec-draft-n-max 7, and it requires the latest llama.cpp v0.6.0.

AIJump Trading is using OpenAI to expand its quantitative research, with longer-running AI workflows that combine multiple data sources alongside human review. The source does not give further details on specific models, metrics, or results.

AIConversation intelligence records and transcribes sales and support calls, then uses AI to tag sentiment, objections, and action items for team-wide review. The guide explains how the pipeline works, from data capture and transcription to analysis and CRM sync. It also outlines benefits such as faster coaching and less manual data entry.

AIUber's engineers describe migrating 600,000 JUnit 4 tests covering 15 million lines of code to JUnit 5, which the post author says was impractical by manual means. The author says AI now makes such a large migration feasible, and points readers to Uber's engineering blog for the details.

AIShazam identifies songs by extracting the highest-amplitude peaks from a spectrogram of short clips, hashing them with timestamp and track ID values. Recognition then relies on a hashtable lookup rather than AI, as the author's college CS project demonstrated and the original paper describes.

AIThariq (@trq212) explains how "local hands" is being implemented in Claude Code, a pattern where Claude runs in the cloud but can access files on the user's machine. The same approach is also coming to Cowork.

AIThe article explains how to write AI video prompts that produce authentic claymation and stop-motion looks without physical sculpting or frame-by-frame photography. It stresses specifying material properties such as polymer clay with visible thumbprints, movement rhythm such as a 12fps animation feel, and negative prompts such as "no photorealism" to suppress glossy 3D defaults. It also includes 15 example prompts organized by material, texture, and category.

AIThe guide gives a prompt formula for AI tattoo designs: Subject + Style + Composition/Placement + Detail Level + Color + Mood. It says geometric and dotwork styles produce strong AI results, and that placement-specific wording, such as "small wrist tattoo" or "full sleeve design," helps set appropriate detail. It also recommends changing one variable at a time when refining prompts.

AIComcast and Booz Allen used Claude Mythos Preview to find vulnerabilities that arise from interactions across code, configuration, and deployment rather than single-file bugs. Comcast identified a critical authentication flaw across 258 systems and about 170 million lines of code before any exploitation was observed. Booz Allen reported that one analyst reviewed eight production systems across 138 repositories in twelve days, a review its team estimated would have taken several months without the model.

Why it matters: The case studies show how security teams validate and remediate model-found exploit chains, a workflow relevant to anyone managing large codebases.