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Luma@LumaLabsAIOfficialAI score14AILuma says its Product Shots feature lets creative teams place the same product into new settings without reshooting each time. The post does not give pricing, availability, or technical details.
Luma@LumaLabsAIOfficialAI score12AILuma invites users to try its Product Shots tool at app.lumalabs.ai. The post is a promotional call to action and gives no details on features, pricing, or availability.
DHH@dhhXAI score42AIBasecamp announces that its MCP is now available, letting users add it directly to ChatGPT, Claude, Cursor, Grok, or other AI tools. The post links to for setup details.
Muse@MuseOfficialAI score12AIAngel Nwoha says he gave Muse AI a single instruction to find available domains for an emerging niche, bypassing slow manual searches on Namecheap. He posts a screenshot showing the agent working on the task, and calls it "love at first site."
Andrew Curran@AndrewCurran_XAI score55AIPrime Intellect says Prime Agent used a swarm of over 2,000 agents to rewrite itself end to end in Rust over two weeks. The rewrite ran across 10,000+ sandboxes and over 200 billion GLM-5.3 tokens, and the company says usable input now arrives about 13 times faster with 83% less startup memory.
AIPrime Intellect says it rewrote its Prime Agent coding tool in Rust, using a swarm of more than 2,000 agents over two weeks. The company reports cold start to typing about 13 times faster than the TypeScript version, and memory use over 80% lower after startup. Prime Agent remains open source and adds native Windows support in beta and Homebrew installation.
Why it matters: The post shows how a multi-agent swarm rewrote a coding agent with parity checks, giving a concrete case of agent-driven software engineering with measured results.
Bertholomus AI@bertholomusaiXAI score22AIA GitHub post announces that kernel kits for DeepSeek's TP=2 and TP=4 recipes are now live. The post links to a repository named deepseek-v4.1-tensorfold-tp2-2xgb10 and gives no further details on performance or features.
Tinker@tinkerapiOfficialAI score31AITinker says it made efficiency improvements to support scaling long-context reinforcement learning and is passing them on through price cuts of up to 70%. GLM-5.3-Flash and DeepSeek-v4.1-Flash are now live on the platform for cost-efficient long-context work.
Tinker@tinkerapiOfficialAI score32AITinker says prefill for 128k and 256k context no longer costs extra, an effective discount of over 2x for long-context models including Kimi K2.6, gpt-oss-120b, and Inkling. Prefill is also discounted for seven Qwen and Nemotron models, and sampling is cut for Qwen3.5-9B and 9B-Base.
Tinker@tinkerapiOfficialAI score40AITinker adds GLM-5.3-Flash and DeepSeek-v4.1-Flash, both of which natively accept image inputs and use efficient attention architecture. GLM-5.3-Flash costs 4-5 times less on Tinker than GLM-5.3. Long-context options for Qwen3.5-4B and Qwen3.6-35B-A3B are also live.
Tinker@tinkerapiOfficialAI score13AITinker says it will retire Qwen3.6-27B, Nemotron-3-Nano-30B-A3B, and DeepSeek-v3.1 on 10/23 to keep throughput high. It suggests Qwen3.8-27B, Nemotron 3.5 Lightning, and DeepSeek-v4.1-Flash as newer, more efficient replacements from the same families.
AIElevenLabs is releasing synthetic voice detection in ElevenAgents, which analyzes a caller's speech in the first few seconds and labels it as human or AI generated. Businesses can then set rules, such as prioritizing verified humans, limiting AI callers to bounded exchanges, or stopping impersonation attempts before sensitive actions. The feature is available now to enterprise customers supported by its Forward Deployed Engineering team, and will reach a broader group of enterprise customers later this month as a configurable option.
Soumith Chintala@soumithchintalaXAI score22AITinker, an API for training and fine-tuning models, is cutting prices by up to 70% after engineering efficiency gains. The company says the savings are passed on to customers, and that buying more produces greater savings. GLM-5.3-Flash and DeepSeek-v4.1-Flash are also now available on Tinker for long-context work.
Rohan Paul@rohanpaul_aiXAI score46AIPine has launched a cloud computer built for AI agents, which developers create through an SDK and give jobs in plain language. Running GPT-5.6 Luna, Pine reports about 1/20 the model-token cost of GPT-5.6 Sol with Codex on SaaS-Bench v1.1, scoring 78.3%, the highest in the published comparison. Pine also reports 1/26 the token cost of Opus 5 with Claude Code and 2 to 5 times faster speed in selected preliminary internal tests.
AIbig-arrow-on-the-screen (bigarrow) is a MIT-licensed macOS command-line tool and skill for Claude Code and Codex that draws arrows, boxes and text over any window. Clicks pass through, keyboard focus stays put, and each arrow removes itself after a set duration or when its agent process ends. The tool only points; it never clicks, types or captures the screen, and it requires no macOS permission to draw.
Prime Intellect@PrimeIntellectOfficialAI score46AIPrime Intellect says its Prime Agent orchestrated over 2,000 agents over two weeks to rewrite the agent in Rust. The run used more than 10,000 sandboxes, over 200B GLM-5.3 tokens, and 16,000 agent-to-agent messages. The company says the rewritten agent reaches usable input about 13 times faster and uses 83% less startup memory.
Prime Intellect@PrimeIntellectOfficialAI score36AIPrime Intellect says Prime Agent, after reaching feature parity, ran its own runtime benchmark suite and tested candidate changes against the current build. Changes that passed parity checks and independent review became the baseline for the next experiment. The loop moved work off the startup and render paths and released memory after large sessions loaded.
Prime Intellect@PrimeIntellectOfficialAI score29AIPrime Intellect says its Prime Agent Rust had the lowest time to usable input, startup memory, and installed size among six agent harnesses it benchmarked. The rewrite splits the codebase into nine crates with enforced dependency boundaries, and changes to shared protocol types are checked across the client, daemon, and session workers.
Prime Intellect@PrimeIntellectOfficialAI score42AIPrime Intellect says it is turning the workflow behind a recent rewrite into reusable state machines in Prime Agent, letting users run their own agent teams through implementation, review, and verification. The company also says it is accelerating work on capabilities and evals and connecting Prime Agent with cloud agent swarms and hosted training for autonomous research. This release adds native Windows support in beta and Homebrew installation.
Prime Intellect@PrimeIntellectOfficialAI score38AIPrime Intellect says Prime Agent is now open source and that its Rust rewrite is available today. The full blog post covers verification loops, multi-agent orchestration, and performance experiments.
Prime Intellect@PrimeIntellectOfficialAI score22AIPrime Intellect says users can update their Prime Agent by running the command prime-agent update. The post links to the project's GitHub repository, PrimeIntellect-ai/prime-agent.
Modal@modalOfficialAI score36AIDatology's team tested its Curation Studio by generating large volumes of synthetic data on Modal, scaling to hundreds of B300 GPUs on demand. The post frames Curation Studio as a customizable data curation tool for teams training their own models.
Tibo@thsottiauxOfficialAI score38AIOpenAI's Tibo says composer predictions are now available in the Codex desktop app, suggesting a user's next message based on the conversation. The feature is in beta for Pro users and is included in Pro plans without consuming usage.
Tibo@thsottiauxOfficialAI score22AIOpenAI's ChatGPT app on iOS and Android now lets users create a dot and text it directly from the phone. Previously, dots could only be created through the desktop or web app.
Tibo@thsottiauxXAI score3AIOpenAI's Tibo (@thsottiaux) asks users to send feedback to @keyanzhang and @sharifshameem. The post gives no product name, feature, or further detail.
StepFun@StepFun_aiOfficialAI score34AIStepFun's Step 5 Preview, a 600B-total, 27B-active MoE model with 1M context and vision, is free to try on Nous Portal for one week. Nous Research says it scored 33.89 on the Hermes Index, the same score as GPT-6 Luna.
Guillermo Rauch@rauchgXAI score38AIVercel says agents can now buy domains with the Vercel CLI, extending an agent marketplace where they already purchase infrastructure products and services. Guillermo Rauch says agents have bought from the marketplace through the CLI often enough to surprise the company. He adds that agents can now move from idea to online business, including registering a domain name.
ElevenLabs@ElevenLabsOfficialAI score38AIElevenLabs is releasing synthetic voice detection in ElevenAgents to help businesses identify AI agents calling on behalf of individuals, companies, or bad actors. The company is also joining the Personal Agent Protocol working group to help define how agents interact.
ElevenLabs@ElevenLabsOfficialAI score24AIElevenLabs is launching synthetic voice detection that analyzes a caller's speech in the first seconds of a call to determine whether it is human or AI generated. Calls are then routed accordingly, so people get a human-oriented experience, agents get bounded interactions, and bad actors can be stopped.
ElevenLabs@ElevenLabsOfficialAI score38AIElevenLabs says synthetic voice detection is available now to enterprise customers through its forward deployed team. Broader access is planned for later this month, and the company will share progress on its Personal Agent Protocol (PAP) as the work develops.
dex@dexhorthyXAI score43AIDex Horthy (@dexhorthy) posted only the words "he cook" on X, with no further detail. The post is a short reaction and does not describe a product, release, or result on its own. Background from the quoted post by @0xblacklight describes a serverless background agent that created a GitHub pull request from an issue.
AISierra has published a draft of the Personal Agent Protocol, known as Poppy, and named 35 additional design partners, including Adyen, Bank of America, Mastercard, OpenAI, PayPal, and Visa. Under the protocol, companies publish a /.well-known/poppy.json discovery file, and personal agents start sessions, identify themselves, and sign in through OAuth with session tokens limited to approved access. The company says the draft will be followed by design workshops and a reference implementation over the next month.
Why it matters: The draft specifies how personal agents identify themselves, obtain customer-approved access, and work with company websites, APIs, or agents, which helps readers assess its practical effect on agent-driven transactions.
Vercel Developers@vercel_devOfficialAI score38AIVercel says its CLI now lets AI agents purchase domains directly. The post links to a Vercel changelog entry with details.
AIOpenAI has released the Decisions API in public beta, returning typed probabilities, choices, and scores instead of prose from text and images. OpenAI says it runs about 10x faster than the Responses API and costs $0.10 per 1M input tokens with no output charges. The article notes that OpenAI has not published accuracy data and that TypeSafe Jev offers cheaper input pricing at $0.042 per 1M tokens.
AIAlibaba's Qwen team released Qwen-Image-2.1-Turbo, an accelerated checkpoint of Qwen-Image-2.1 that generates and edits images in 8 denoising steps instead of 40. The model keeps the same 7B architecture and offers a hosted API at CNY 0.1 per image, while its weights are under a Qwen Research License that requires separate permission for commercial self-hosting.
LangChain@LangChainOfficialAI score22AILangChain says LangSmith LLM Gateway now supports the OpenAI Decisions API for low-latency agent inference. The gateway provides centralized controls for model fallbacks, data redaction policies, and spend limits.
Murtuza J Merchant@murtuza_mercXAI score36AIQwen has released its Turbo image model with open weights, giving image app builders an option to run it in-house instead of relying on hosted API pricing. The post does not specify model size, benchmarks, or pricing.
Google Gemma@googlegemmaOfficialAI score46AIGoogle AI Pro plans now include Colab access to A100 GPUs with 80GB VRAM, and Ultra subscribers can use H100 GPUs. With that memory, users can run Gemma 4 31B in bf16, fully fine-tune Gemma 4 E4B in bf16, LoRA-tune Gemma 4 26B A4B in bf16, and QLoRA-tune Gemma 4 31B in bf16.
Google Gemma@googlegemmaOfficialAI score32AIGoogle says Colab is now included in its Google AI plans. The post links to a Google Developers blog post for details and setup instructions.
🚨 AI News | TestingCatalog@testingcatalogXAI score36AIMicrosoft has made Microsoft-Decision-1 available on Microsoft Foundry, a model post-trained on Qwen3.5-9B for fast, single-pass decision scoring. Microsoft says it achieved the highest accuracy across a 36-benchmark comparison of nearly 150,000 questions, and runs 4.5 times faster than Quyet-1.0-Large and 35 times faster than GPT-6 Sol. Microsoft plans to rebase it on other models, including MAI and OpenAI models.
