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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.
dex@dexhorthyAI score14AIDex 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.
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.
Allie K. Miller@alliekmillerAI score13AIAllie 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.
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.
LlamaIndex 🦙@llama_indexAI score6AILlamaIndex is hosting the invite-only Agent Economy Gala on Friday at the Redwood Room in San Francisco, during SF Tech Week. The event expects more than 120 agent founders and 50 investors, with live jazz, and lists partners including SpaceX, Daytona, Lemma, TinyFish, The Linq, and Obvious.
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 score15AIxAI has shared a complete cookbook repository on GitHub, linked at The post gives no further details about the repository's contents or purpose.
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.
Ai2@allen_aiAI score4AIAi2 student researcher Dylan Wootton says he is attending COLM this week to discuss personalization, user modeling, and steerable data agents. He also promotes an Ai2 event at the conference that evening.
Boris Cherny@bchernyAI score11AIBoris 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.
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.
AIMIT Provost Anantha Chandrakasan has named Chris Bourg, director of the MIT Libraries since 2015, vice provost and Barbara K. Ostrom (1978) Director of the Libraries. The directorship now has an endowment funded by a gift from Barbara K. Ostrom '78, SM '78, to support the position in perpetuity.
👩💻 Paige Bailey@DynamicWebPaigeAI score8AIGoogle's Paige Bailey says the industry is rediscovering tiny, cheap, single- or few-purpose classification models like Jev, which she says the team was already pursuing. She frames it as vindication, with a lighthearted tone. The quoted post from Russ Salakhutdinov jokes that senior researchers often claim to have invented new AI ideas years earlier.
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 score13AIAnthropic's Applied AI team offers virtual office hours, and Claude Startups hosts events such as Founder House, hackathons, and meetups as space allows. Startups founded in the last five years or funded in the last two are eligible to apply through the program's expansion announcement.
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.
Microsoft Research@MSFTResearchAI score16AIIn a Microsoft Research Podcast episode, Jennifer Neville discusses her nonlinear route into computer science and her push for more practical evaluations of today's AI systems. The post offers little beyond this framing, so no specific models, benchmarks, or results are mentioned.
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.
Ai2@allen_aiAI score13AIAi2 faculty research scientist Arman Cohan shared a thread previewing his group's upcoming COLM 2026 presentations. The background post says the work covers reinforcement learning with metacognitive rewards, on-policy self-distillation with rubric rewards, and evolving research agents. The main post itself contains only a call to see the thread, so no results or figures are reported.
Ai2@allen_aiAI score8AIMaarten Sap, senior research scientist and technical AI safety lead, announced that his Sapling lab has 10 papers accepted at COLM 2026. The post is a conference-acceptance announcement and includes a link to the main post, with no details on the papers' topics or findings.