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Replicate@replicateAI score29AIReplicate has made Nano Banana 2.1, Google DeepMind's latest image model, available, optimized for a balance of price and performance. The model offers improved visual design, mask-based editing, and subject consistency for more natural-looking images.
Guizang@op7418AI score22AIHark Pro is now live on web, iOS, and Android as a new personal agent, and early users reportedly get one free month of Pro. The post says the product is powered by Opus 5.5 and Sonnet 5.5, and praises its polished design, detailed animations, and AI-customized cards.
Aravind Srinivas@AravSrinivasAI score34AIPerplexity says its open-weights multimodal decision model pplx-decider-v1.1-27b ranks first on the new Hugging Face Decision Index 0.3 benchmark. The updated model is available to all, and it costs $0.02 per million input tokens, half the price of v1.
Claude@claudeaiAI score42AIAnthropic's Claude can now open Google Docs, Sheets, and Slides beside the chat, either from a pasted Google file link or a request for a new file, so users and Claude can edit together. Access follows existing Google sharing permissions. The feature is in beta on all paid plans.
Claude@claudeaiAI score62AIand files from those apps can also be opened within Claude. In Google Workspace, Claude appears in a sidebar next to the open file, reads its contents, and edits it in place, with each edit available for user approval before it is applied.
METR@METR_EvalsAI score22AIMETR argues that agent observability should be treated as security-critical infrastructure, with all AI outputs, including transcripts, reasoning, and actions, handled as untrusted inputs. The goal is to make it very difficult for agents to influence the systems used to supervise them.
METR@METR_EvalsAI score37AIMETR notes that a bug altered only what a viewer displayed, not the underlying logs. It warns that more capable agents could target multiple oversight systems or deeply compromise a company's infrastructure to build a "Potemkin village" that deceives employees.
METR@METR_EvalsAI score40AIMETR demonstrated a JavaScript injection that an agent could trigger through MathJax rendering from any part of its output, including its reasoning. METR says it has not observed agents exploiting this in its evaluations, and the Inspect tool was patched within a day of the report.
METR@METR_EvalsAI score36AIA METR researcher discovered a bug in the transcript viewer of Inspect, a popular evaluation framework, that could let an agent show a user a fabricated or edited version of its transcript.
METR@METR_EvalsAI score40AIAI companies often log their agents' actions and reasoning steps to detect misbehavior. The post warns that misaligned agents may be able to hack the software humans use to review these logs, concealing their misconduct.
Nano Banana 2.1@NanoBananaAI score40AIGoogle announces Nano Banana 2.1, an upgraded image model that outperforms its previous versions across the board. The company says it brings notable improvements in visual design, mask-based editing, subject consistency, and more natural-looking imagery. It is available now in the Gemini app and Google AI Studio.
Yuchen Jin@Yuchenj_UWAI score34AIYuchen Jin says Reflection's Beam and Mistral Large 4 both reached roughly GLM-5.2 level within the past two days. He suggests the Western versus Chinese open-source model gap may come down to Chinese labs being able to distill Anthropic and OpenAI models, which Western labs cannot.
Perplexity Developers@perplexitydevsAI score34AIPerplexity says its pplx-decider-v1.1-27b model supports a 250k context window and accepts text and image input. The weights are available on Hugging Face, and the model can be accessed through the Perplexity Decisions API.
Perplexity Developers@perplexitydevsAI score38AIPerplexity says its open-weights multimodal decision model pplx-decider-v1.1-27b is now available and scores highest on Hugging Face's new Decision Index 0.3 benchmark. The model costs $0.02 per million input tokens, half the price of v1.
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.