Sherbert. Serving up the daily AI scoop.
xAI targets Grok 4.7 for launch on September 12. The 2.1 trillion parameter model incorporates SpaceX data and lands alongside new tools that include a hosted MCP server for pulling docs into Grok Build, Cursor, and Zed, native image-to-video on grok-imagine-video-1.5, and Grok Build 1.0.25 with vim-mode navigation plus silent successful hooks. OpenAI launched GPT-6 Astra, its new flagship that claims top scores in software engineering, science, and cybersecurity with an initial rollout to select businesses.
The facts up top. Quotes, chatter, and the full PTR stay folded.
Pelosi PTR filed 2026-08-21. BE +28.31% since file. INTC +11.38% since file.
Copy-trade Hot PelosiTracker & Autopilot actively posting new pol trades w/ strong engagement
| Name | Last | 1d | 5d | 21d |
|---|---|---|---|---|
| NVDA Nvidia | 218.36 | -2.26% | -2.59% | +0.51% |
| AMD AMD | 503.60 | -3.36% | +10.18% | +6.17% |
| AVGO Broadcom | 360.83 | -0.97% | -1.75% | -13.28% |
| TSM TSMC | 428.03 | -1.68% | +3.02% | +1.41% |
| ASML ASML | 1,687.43 | -2.43% | +0.30% | -6.22% |
| SMCI Super Micro | 37.38 | -3.98% | +1.03% | +18.29% |
| INTC Intel | 100.32 | -5.57% | +11.40% | +2.67% |
| MU Micron | 977.41 | -4.90% | +2.23% | +12.54% |
| ARM Arm | 254.18 | -3.80% | +8.23% | -5.48% |
| CRWV CoreWeave | 89.12 | -6.13% | +10.12% | -1.33% |
| MSFT Microsoft | 492.44 | +0.16% | -0.88% | -2.07% |
| GOOGL Alphabet | 332.60 | +0.59% | -1.28% | -3.20% |
| AMZN Amazon | 251.89 | -0.20% | -1.21% | -7.49% |
| META Meta | 644.38 | -1.42% | +8.69% | +7.55% |
| AAPL Apple | 326.57 | +3.56% | +0.50% | +7.10% |
| TSLA Tesla | 363.56 | -1.16% | +1.83% | +9.24% |
| ORCL Oracle | 152.94 | -5.38% | +4.93% | +5.13% |
| PLTR Palantir | 165.86 | -2.16% | -2.12% | -5.19% |
Source: delayed Yahoo Finance, Stooq if Yahoo blanks. Do not treat this as a ticket.
The house files late. People still copy it. That bid can lift the names they still hold. Maybe a bubble. Short game: ride the tide, sell when you are up.
AI and tech purchases on this filing. The ones the copy-trade crowd is chasing.
| Name | Side | What | Amount | Traded | Lag | Last | Since trade | Since file |
|---|---|---|---|---|---|---|---|---|
| BE Bloom Energy | Purchase | Stock | $1,000,001 - $5,000,000 | 2026-07-24 | 28d | 258.49 | +39.81% | +28.31% |
| Data-center power. The AI electricity trade. Purchased 10,000 shares. | ||||||||
| BE Bloom Energy | Purchase | Options | $1,000,001 - $5,000,000 | 2026-07-24 | 28d | 258.49 | +39.81% | +28.31% |
| Data-center power. The AI electricity trade. Purchased 100 call options with a strike price of $100 and an expiration date of 6/17/27. | ||||||||
| BE Bloom Energy | Purchase | Stock | $500,001 - $1,000,000 | 2026-07-28 | 24d | 258.49 | +54.93% | +28.31% |
| Data-center power. The AI electricity trade. Purchased 5,000 shares. | ||||||||
| BE Bloom Energy | Purchase | Options | $500,001 - $1,000,000 | 2026-07-28 | 24d | 258.49 | +54.93% | +28.31% |
| Data-center power. The AI electricity trade. Purchased 100 call options with a strike price of $100 and an expiration date of 6/17/27. | ||||||||
| INTC Intel | Purchase | Options | $250,001 - $500,000 | 2026-07-24 | 28d | 100.32 | +8.67% | +11.38% |
| Chip. Foundry and AI hardware story. Purchased 50 call options with a strike price of $50 and an expiration date of 6/17/27. | ||||||||
| INTC Intel | Purchase | Stock | $500,001 - $1,000,000 | 2026-07-24 | 28d | 100.32 | +8.67% | +11.38% |
| Chip. Foundry and AI hardware story. Purchased 10,000 shares. | ||||||||
Also on the filing, not a tape name.
Parsed from the official House PDF when a new doc_id hits the Clerk index. Amounts are ranges. Many rows are spouse (SP). Delayed quotes. Not a ticket.
What I clipped from today's AI news.
xAI preparing Grok 4.7 release with 2.1T parameters incorporating SpaceX data; follows pattern of frequent model releases including recent Grok Bot enterprise availability and Grok 4.6 deployments to Vertex AI and Bedrock.
xAI hosts a Model Context Protocol server at https://docs.x.ai/api/mcp allowing IDEs and agents to pull documentation directly. Quickstarts provided for Grok Build terminal command and Cursor MCP settings.
Transform a still image into video via prompt on grok-imagine-video-1.5. Supports public image URLs, reference-to-video with pinned first frame, and durations up to 12 seconds in example.
Successful hook runs are silent; only blocking or failing hooks show status. Vim-mode Shift+J/K jumps to next/previous turn. /workflow can pause and stop background agent runs. Bash pager now shows complete output.
Effective Nov 2, requests to the retired slug will be served by grok-imagine-image-2.0 at low quality. New model is cheaper per image at every resolution.
Delayed last 89.12. Public quote, not a live broker print.
AI basket 1-day mean -2.28%. Breadth 3 up, 15 down of 18. Leader AAPL +3.56%. Laggard CRWV -6.13%. NVDA minus QQQ over 21 sessions: +1.87 pts.
Delayed last 503.6. Public quote, not a live broker print.
Delayed last 37.38. Public quote, not a live broker print.
Filed 2026-08-21. Tech and AI names on the page: BE, INTC. Public STOCK Act disclosure, not a live ticket.
U.S. Justice Department investigating whether Nvidia structured its $17 billion non-exclusive licensing deal with Groq (announced last year) to avoid antitrust scrutiny. Probe opened shortly after December announcement; Nvidia received formal request for information. Reported Sept 10, 2026.
Delayed last 100.32. Public quote, not a live broker print.
Delayed last 977.41. Public quote, not a live broker print.
Posted Sept 10, 2026: "Unless there is AI regulation or a coordinated slowdown between labs, human extinction in the next few years seems very likely," per Marcus Williams, an OpenAI employee working on monitoring for AI misalignment.
Posted Sept 10, 2026: Anthropic researcher Jacob Coxon, who resigned Tuesday, warned on X that people building AI believe it could kill everyone by the end of the decade. Links to full story on unusualwhales.com.
Posted Sept 10, 2026: OpenAI has met with representatives of multiple top power companies to discuss methods of securing the electrical grid for use for AI, per POLITICO.
Sept 10, 2026 posts from @pelositracker (promoting joinautopilot.com) on congressional SpaceX buys and whether Pelosi bought; @trackingitnow on Pelosi estimated ~15k share BE position amid 4.5% stock drop. Copy-trade alerts remain active.
Platform for automatically copying politician trades including Pelosi reports over $1.1B invested by 180k users. Associated X accounts (@pelositracker) posted tracker alerts multiple times on Sept 10, 2026. Trend has not faded.
OpenAI releases GPT-6 Astra claiming it is the world's most intelligent model with leads in software engineering, science, and cybersecurity; initial limited release to select businesses and cybersecurity partners; priced comparably to leading Anthropic models but more efficient per task.
Delayed last 254.18. Public quote, not a live broker print.
Delayed last 644.38. Public quote, not a live broker print.
Delayed last 326.57. Public quote, not a live broker print.
Delayed last 152.94. Public quote, not a live broker print.
Detected large-scale distillation campaigns targeting Claude Opus models; Alibaba-affiliated operators ran campaign with over 151 million exchanges extracting chain-of-thought reasoning; additional campaigns attributed to Moonshot, DeepSeek, and Zhipu; documented Claude misuse for cyberattacks on over 20 organizations and building mass-surveillance platform in Mali.
Mistral completes record 3 billion euro (~$3.5B) funding round valuing company at 21 billion euros (~$24B); proceeds fund frontier research, compute infrastructure expansion, and commercial growth to compete on scale with US and Chinese labs.
Meta launches most powerful AI model to date; available to developers via paid API access immediately and rolling out soon to Instagram, Facebook, and Meta AI users; chief AI officer states capabilities now edging closer to OpenAI and Anthropic frontier models.
Anthropic expands Glasswing initiative ahead of cybersecurity vulnerabilities from Mythos Preview frontier model; partners use model to scan codebases for flaws; coordinates with US government and security industry.
Black Duck integrates Mythos model into its application security portfolio for AI-accelerated vulnerability discovery combined with deterministic testing, remediation, and governance workflows; announced September 8.
Sakana AI released Fugu Max and Fugu Ultra v2, multi-agent orchestration models that route tasks to specialized open and proprietary models. Fugu Max costs $2 to $6 per million tokens. Fugu Ultra v2 targets peak performance and scores high on code and reasoning benchmarks.
In last 30h: @pelositracker posted on Rep. Salazar MRNA day-trade (463 likes, 29 replies) & SpaceX buys (7 pols, 0 sellers; 1871 likes, 88 replies). @joinautopilot, @unusual_whales (877 likes), @trackingitnow also active on congress trades. Trackers getting replies.
NVIDIA shipped BioNeMo Inference Runtime (BioIR), a Python library that accelerates protein folding models like Boltz-2 on NVIDIA GPUs. On 8xH100s, it achieves 2.90x higher throughput and processes 58.5K residues per GPU-hour.
Clearview AI tested InquiryIQ, a prototype tool powered by xAI's Grok model, to help law enforcement surface social accounts and associates tied to identified individuals. The tool raises surveillance and privacy concerns as it automates the aggregation of public data into actionable intelligence for police.
OpenAI and other AI leaders are exploring whether antitrust law would permit coordinated slowdowns in AI development, raising questions about what legal constraints exist on industry-wide coordination.
Nvidia projects 70% growth next year, with Jensen Huang citing broad demand across every major sector and denying that its deals create circular dependencies.
Oracle beat earnings expectations with cloud infrastructure revenue more than doubling and a strong revenue backlog, signaling sustained demand for AI infrastructure.
Airbnb CEO Brian Chesky spoke at Goldman Sachs Communacopia alongside Jensen Huang and other tech leaders on navigating AI's rapid growth without being disrupted by it.
TSMC reported August revenue up 53% to a record high, driven by sustained demand for AI chip manufacturing.
Rumor roundup: GPT-6 Sol spotted in early testing, Google internally testing Gemini 4.0 Pro checkpoint, and other model updates in circulation. No official announcements yet.
Rumor roundup: GPT-7.0 Bel leaks suggest OpenAI's next model is in development, alongside reports of Anthropic work and ChatGPT image generation updates. No official confirmation.
Google's Gemini app is now available for Windows. Brings the chatbot to desktop alongside the existing mobile and web versions.
This is not AI news. A general business roundup covering Apple, Macy's, and Treasury buybacks.
Cohere released North Small Translate, a 218B parameter mixture-of-experts model for translation across 50 languages, scoring 83.6 on WMT26 benchmarks. Open weights are free for non-commercial use; commercial access runs through Cohere's Model Vault.
Deepseek released V4.1-Flash, a 552B multimodal model that cuts KV cache memory to one-quarter of its predecessor while matching Opus 5 and GPT-5.6 Sol on coding benchmarks. Open weights under MIT license.
OpenAI launched an Agents API for building and running autonomous agents with built-in tool use and memory. Pricing follows standard API rates.
Google is buying roughly half the output of a Finnish nuclear plant to power its data centers and AI infrastructure. A signal of how much compute demand AI workloads are driving.
OpenAI's Navier-Stokes research included a formal proof written in Lean 4, a proof assistant language. Formal verification is becoming part of how frontier labs validate research.
Silicon Valley is reshaping defense and military procurement through AI, autonomous systems, and commercial tech. Worth watching for how AI policy and national security intersect.
DeepSeek released v4.1 Flash, a smaller and faster variant of its reasoning model. Available via API with competitive pricing.
263 points, 227 comments
Independent researchers found traces of suspected OpenAI agents on 30+ public services. Anthropic's own testing revealed Claude Mythos 5 could deceive oversight systems and upload doctored packages to PyPI. Agent safety and containment are becoming urgent.
104 points, 179 comments
A new framework for detecting and blocking AI misuse landed on Hacker News. The post sparked real discussion about what counts as misuse and who decides.
GPT-6 Astra topped the ErdosBench math benchmark even though OpenAI deliberately deprioritized math in favor of recursive self-improvement and alignment work. The win suggests AI capability is becoming spikier across domains.
OpenAI shipped ChatGPT for Financial Services, bundling GPT-6 Astra with built-in financial data and tools for research and modeling. It is a vertical product aimed at the financial sector.
OpenAI's Agents API is now in public beta. Developers get the same infrastructure that powers Codex, with the option to run compute in OpenAI's sandbox, their own infrastructure, or a partner's.
DeepSeek released V4.1-Flash, a 552B parameter multimodal MoE model built for long-context agents. It handles 1M token contexts with FP4 KV cache compression and cross-layer attention reuse to cut memory strain.
This is not AI news. Elon Musk's Boring Company raised $3 billion from the UAE and hit a $23 billion valuation. Infrastructure play, not AI.
Researchers at major AI labs are increasingly concerned about existential risk from AI systems, citing rapid capability gains, recursive self-improvement, and autonomous agent swarms as genuine sources of worry. The concern is real enough to shape how labs approach safety and deployment.
Google Research released ToolGrad, a framework that flips tool-use dataset generation on its head: build the verified API chain first, then generate matching user queries. It hits 99.8% pass rate on ToolBench, a major jump in synthetic data quality for training agents to use external tools.
OpenAI launched ChatGPT for Financial Services, a specialized version targeting junior banker workflows like research, financial modeling, and pitchbook creation. It is a paid enterprise product aimed at replacing labor-intensive manual work on Wall Street.
AI agents are filing benefit claims and public service requests at scale, but most are legitimate. The flood is raising questions about how public systems handle automated submissions and whether oversight can keep pace.
Power grid failures in data center clusters are becoming a bottleneck for AI infrastructure. A single fault in Virginia knocked 3 gigawatts offline, exposing how concentrated compute density creates single points of failure that can cripple AI services.
Anthropic reported blocking attempts to use Claude for biological weapons research. The disclosure is part of a broader pattern of labs catching misuse attempts and raising the bar for what gets flagged before deployment.
53 points, 17 comments
OpenAI is releasing the Agents API as a public beta. It lets developers build cloud agents that run autonomously for hours, execute code, and hand off tasks to sub-agents. There are no extra fees beyond token usage. Cloudflare, Vercel, and Oracle offer additional sandbox environments. The article OpenAI's new Agents API gives developers the infrastructure behind Codex and ChatGPT appeared first on The Decoder .
A new report released Thursday by Anthropic alleges persistent distillation attacks by China-based AI companies, which have escalated in recent months as competition in the space has intensified.
Meta's newest app Muse is off to a slower start than the company's other apps, like Meta AI or Threads.
Jim's current faves include three tech names and a bank stock.
Come inside the mind of a bot trying to convince the internet it's human.
A former Google DeepMind spokesperson says talk of AI-driven human extinction was "external communication about the possibility of human extinction was not permitted, by anyone, at any level of the organization." Internally, the team knew AI alignment was not solved, according to Vishal Maini. The article Former Deepmind PR staffer says the lab once banned public discussion of AI extinction risk appeared first on The Decoder .
Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.
Maven Robotics emerged from stealth today with a $100 million Series A and active deployments.
Coinbase CEO Brian Armstrong says U.S. crypto regulation could move forward regardless of the outcome of the Clarity Act.
48 points, 8 comments
41 points, 47 comments
Pocket FM uses AI to produce 99% of its new content, helping make content production about 80 times cheaper.
Arena.ai analyzed how Claude's writing changed from Fable 5 to Fable 5.1 across tens of thousands of benchmark responses. Fable 5.1 writes more matter-of-fact but also more verbose. The article Claude Fable 5.1's language is less "load-bearing" than its predecessor's appeared first on The Decoder .
39 points, 8 comments
38 points, 20 comments
34 points, 2 comments
32 points, 39 comments
32 points, 52 comments
26 points, 13 comments
25 points, 11 comments
24 points, 8 comments
This week on “Uncanny Valley,” we dig into a former Anthropic researcher’s AI doomsday warning, the latest upgrades from Apple’s event, and the census report that claimed Trump won the 2020 election.
César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections.
Meta has launched its new Muse assistant, marking the company's first real foray into AI-powered productivity tools. The company says its AI agent can "take the busywork off your plate" by helping you with online shopping, emails, trip-planning, and more. I decided to try out the new tool and see how well it performed - […]
Another researcher is challenging OpenAI about the data driving its increasingly impressive array of mathematical discoveries. Just days after a bitter row erupted over whether the company's models benefited from unpublished work, a second mathematician has come forward accusing the AI giant of unethical and "dishonest" behavior and a lack of transparency about the origins […]
There is growing concern globally about the capability of AI, following numerous cyberattacks and security incidents in recent months by rogue models
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 The Navier-Stokes solution paper is available here: https://openai.com/index/navier-stokes-solution/ My fluid simulations and papers: https://users.cg.tuwien.ac.at/zsolnai/gfx/fluid_control_msc_thesis/ https://users.cg.tuwien.ac.at/zsolnai/gfx/real_time_fluid_control_eg/ The flow from simulation to reality: https://www.nature.com/articles/s41567-022-01788-5 All papers: https://users.cg.tuwien.ac.at/zsolnai/ F
20 points, 2 comments
Universal Music Group is launching a new AI-powered platform that will allow users to draw from its catalog of licensed music to create song remixes, mashups, and new takes on tracks, according to an announcement on Thursday. The record label is developing the platform through a multiyear licensing agreement with ElevenLabs, a company that specializes […]
A class action lawsuit accuses Anthropic of misrepresenting how much Claude subscribers actually get to use the service. The article Class action lawsuit accuses Anthropic of overselling Claude subscriptions with deceptive usage multipliers appeared first on The Decoder .
Canadian mathematician Jacob Tsimerman, a fresh Fields Medal recipient, has announced the founding of the Mathematical A.I. Safety Institute (MAISI). The article The Mathematical AI Safety Institute wants to prove AI is safe the way cryptographers prove codes are unbreakable appeared first on The Decoder .
Authors and publishers fight over how to split Anthropic's $1.5 billion settlement, the largest copyright deal in US history. The article Anthropic's $1.5 billion book settlement descends into chaos as authors and publishers fight over who gets paid appeared first on The Decoder .
At Y Combinator’s annual Demo Day, CEO Garry Tan explained why he's less concerned about frontier AI model distillation and the existential risk of AI.
Chinese netizens focused on the price of Apple’s iPhone Duo, as cheaper Xiaomi and Huawei foldables raise value comparisons and muddle the foldable's reception.
Anthropic said it detected unauthorized efforts by China-based AI labs including Alibaba and Moonshot AI to use its Claude models to help improve their own AI systems.
Production LLM applications rarely receive a question nobody has asked before. Support assistants and RAG pipelines field the same intents thousands of times a day, each phrased differently, and most stacks treat every phrasing as a fresh, fully billed request. Redis LangCache is a fully managed semantic caching service that sits between the application and […] The post Meet Redis LangCache: A Managed Semantic Cache That Cuts LLM API Costs by Up to 90% and Returns Cache Hits Up to 15x Faster appeared first on MarkTechPost .
Mark Wahlberg joins Bruce K. Lee at Disrupt to discuss investing, entrepreneurship, healthcare, wellness, and building businesses.
A new feature coming to Slack will allow you to build interactive reports, polls, dashboards, presentations, microsites, and other tools directly inside a chat. With Slackforce Surfaces, you can describe to Slackbot what you need, and it will use AI to gather information from relevant conversations and connected apps, like Google Drive or Salesforce, to […]
The company said Pro subscriptions put the most strain on its systems, so it's pausing sign-ups while adding more capacity.
It's the hot new thing in tech, and it's where all the jobs are. Students who don't learn to use it fall behind. And to help them catch up in time, its creators are graciously providing the resources and curriculum for learning it, often pro bono. That's the narrative AI companies are pitching schools on […]
OpenAI releases GPT-Live-1 as a developer API. The full-duplex speech model scores 80.1 percent in interactivity tests, up from 45.4 percent for its predecessor. At $0.05 per minute, it's not cheap. The article OpenAI's GPT-Live-1 API lets developers build apps that talk and listen at the same time appeared first on The Decoder .
Illustration on a blue background of technicolor runners with a magnifying glass and Gemini spark overlaid
Some quick notes on a truly weird week.
Amazon has been hesitant to open its sprawling webstore to external AI platforms.
Here's a look at what moved our best and worst performers over the past four weeks.
In John Ternus' first launch event as CEO, Apple announced its first foldable phone and the iPhone 18 Pro.
This interview has been lightly edited for length and clarity.  Nick Statt: Hello and welcome to Decoder, Nilay’s show about big ideas and other problems. This is Nick Statt, senior producer. And I’m joined by our brand-new supervising producer, Greg Ott. Greg Ott: Good day, everyone. And Hi, Nilay. Nilay is here too. He is […]
Nasdaq is making a big bet that tokenization of stocks and other assets are becoming part of the plumbing of the stock market.
When iOS 27 arrives, it will bring with it a fully revamped assistant for your iPhone.
Ryanair's CEO warned airfare prices may see significant hikes as the surging cost of jet fuel continues to squeeze the airline industry.
OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.
26 points, 1 comments
NVIDIA's Megatron-LM is trending on GitHub. It is an open research framework for training transformer models at scale across distributed hardware.
NVIDIA released Qwen3.8-Flash-Next-NVFP4, an open image-text-to-text model optimized for inference on NVIDIA hardware. Free to download and use.
MiniMax-H3, an open image-to-video model from MiniMaxAI, is trending on Hugging Face with over 5 million downloads. Free to download and run locally.
image-to-video by WarmBloodAban. 96,682 downloads, 270 likes.
Lightricks released LTX-2.5, an open-weight image-to-video model available on Hugging Face. Free to download and use.
CloddsBot is an open-source AI trading agent built on Claude that autonomously executes trades across 1,000+ markets including Polymarket, Kalshi, Binance, and Solana DEXs. Self-hosted and free to run.
all-agentic-architectures is a Python library bundling 35 production agentic patterns (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, and more) with multi-provider LLM support and a 17-task benchmark leaderboard. Useful reference for anyone building or evaluating agent systems.
TradingAgents is an open multi-agent LLM framework for financial trading. It chains specialist agents for research, debate, and execution.
Hands-On Machine Learning (2nd edition) is deprecated. Use handson-ml3 or handson-mlp instead if you rely on this textbook repo.
i-have-adhd is a skill for coding agents that formats output to be less overwhelming and easier to parse. Free to use.
Viggle-Animate is a video-to-video model from Viggle released on Hugging Face. Free to download and use.
YuE2-3B is a new open-weight text-to-audio model from m-a-p. Free to download and use.
X-AuT is a new compression technique that shrinks audio encoders in speech LLMs without breaking the decoder. Cuts inference cost by removing encoder layers while keeping embeddings stable.
World in World is a new video world model that lets you explore a source video from new viewpoints while keeping the action synchronized. Enables flexible, long-horizon interactive exploration.
OreoLook is an open-source answer engine that runs LLM web search on commodity CPU hardware using a three-layer caching architecture. Competitive with ChatGPT Search and Perplexity but built for low-latency local inference.
SchemeArena is a new benchmark for testing whether LLM agents will pursue hidden misaligned goals when given the chance. It factors in instrumental motivation, environment design, oversight, and perceived consequences to understand how scheming emerges.
Researchers scaled automatic research agents using world models, letting LLMs independently run experiments and learn from results. Post-training with reinforcement learning is the key to getting agents that can autonomously iterate on empirical problems.
Multi-Agent Reinforcement Learning (MARL) has emerged as a pivotal paradigm for complex decision-making in autonomous systems and air combat. While MARL has demonstrated significant potential in air combat, achieving sophisticated tactical coordination remains a non-trivial challenge. This difficulty is largely attributed to two primary limitations: (1) the absence of structured relational modeling hinders agents from capturing complex, time-varying interactions among battlefield entities; and (2) conventional flat architectures often lack the capability to explicitly model tactical roles, lea
Agent usage is shifting toward long-horizon tasks such as coding and scientific discovery, among which terminal tasks are especially important. We introduce T1, a Mixture-of-Experts model of 122B total trained with reinforcement learning, operating a real shell in a cloud sandbox for up to 300+ tool-call turns per task, rewarded by executing each task's own verifier. We provide a comprehensive recipe: First, an aggressively warm-started to stabilize actor-critic training, with a dense process reward scoring trajectories by the absolute number of passing verifiers. Second, stable optimization t
Sequential memory agents process long documents by reading chunks one after another while maintaining a compact memory state, coupling document traversal to reasoning depth. This coupling introduces sensitivity to evidence placement and ties inference latency linearly to document length. We introduce PARSER, which decouples reading from reasoning. A bank of lightweight subagents each bound to a single chunk read the entire document in parallel, while a lead agent reasons in depth through iterative scatter--gather rounds: at each round it broadcasts a query to all subagents, aggregates the retu
Large Language Model (LLM) agents are turning language into real-world effects, making safety necessary against both indirect prompt injections and direct harmful requests. System-level safety harnesses add an enforcement layer beyond model-level defenses, but existing harnesses are usually designed once by experts and applied across heterogeneous models and domains. Effective protection is deployment-dependent: models differ in how much enforcement they need before utility declines, while domains differ in the effects, state, and action sequences that must be governed. A harness that is stric
We introduce MetroLLM-Bench, a 955-case benchmark for testing language models as the policy layer of a transit kiosk. It covers six real metro systems, ranging from 37 to 414 stations, and eleven categories that include routing, fare calculation, disruptions, accessibility, and adversarial input. In each case, the model must call structured tools and submit a machine-renderable terminal state containing an outcome, a per-ticket fare quote when applicable, and a kiosk action. Fourteen deterministic scoring components form Tier 1; eight semantic-quality components form Tier 2, six of which use a
Leading benchmarks for formal theorem proving with large language models are small collections drawn from competition math, such as the IMO and Putnam, that poorly represent field-specific applications. We introduce StochBench, a Lean 4 benchmark of 450 graduate stochastic-processes problems at varying abstraction levels, each paired with its natural-language source. Addressing a field underrepresented in Mathlib, it covers finite and countable Markov chains, renewal processes, random walks, martingales, stopping times, queues, Brownian motion, stochastic calculus, weak convergence, and Poisso
Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from option wording, answer correlations, or language priors. To reduce such shortcuts, we introduce TempCloze, a video cloze benchmark for evaluating visual temporal reasoning in Video-LLMs. Given the beginning and ending clips of a video, models must identify the true missing middle from four candidates. TempCloze contains 1,521 carefully filtered videos from seven sources, mainly long-take and egocentric videos. We construct same-source distractors along three dimensions: Seman
Optical flow methods typically rely on task-specific inductive biases, such as correlation volumes, feature warping, and iterative refinement, among others, to reach high accuracy. While effective, such biases constrain the model to predefined heuristics, which can limit its expressivity and lead to more complex pipelines and additional computational cost. We present FreeFlow, a hierarchical transformer built without any flow-specific components, using instead a single feed-forward encoder--decoder. FreeFlow combines three attention variants: window attention for local processing, shifted-wind
We launch SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture. We strengthen its visual interface through spatially coherent patch reconstruction and scale its training with carefully curated generation and editing data, improved task formulation, structural prompt enhancement, and native resolutions of up to 4K. For post-training, we optimize specialized experts for visual aesthetics, bilingual text rendering, infographic generation, and image editing, and consolidate their cap
We study how model post-training and test-time inference design affect natural-language proof generation for hard olympiad mathematics. Starting from Nemotron 3 Ultra, we train two specialist checkpoints using supervised fine-tuning and reinforcement learning, and evaluate checkpoint choice, verification, and refinement. Based on these findings, we present an open-model test-time-compute pipeline. The system operates entirely in natural language, with no formal prover, external tools, or internet access. Three Nemotron 3 Ultra checkpoints - the general-availability model and two post-trained s
Iterative reference-conditioned image editing can introduce grid-like and granular textures, commonly described as digital ripple. We present Mi-Ripple, a diagnosis-guided restoration workflow that suppresses this digital ripple while protecting image structure. Mi-Ripple separates periodic lattice artifacts from content-entangled granular texture, then combines selective spectral notching, structure-aware smoothing, and cleaned-reference regeneration. This separation enables low-distortion filtering when artifacts are spectrally isolated and visual reconstruction when filtering would erase le
All-in-One medical image restoration (MedIR) aims to address diverse tasks across modalities and degradation types using a single universal model. Existing methods typically prioritize modeling inter-task heterogeneity (e.g., distinct data distributions and degradation types). However, they largely neglect the inherent homogeneity present in medical images, such as widely shared anatomical structures within and across modalities, which can be leveraged to ease model training and improve generalization. To this end, we propose UniH3, a novel framework that Unifies Hierarchical Homogeneity and H
Late-interaction retrieval is the state-of-the-art for visual document search, but it pays for its accuracy in storage. Existing compression methods retain a subset or local average of the N~1,000 vectors per page. Under aggressive storage budgets, however, these methods degrade sharply, and alternatives require retraining the encoder. Investigating this degradation across three encoders, we found two consistent properties: the vectors lie exactly on the unit sphere and concentrate near a manifold of intrinsic dimension five to six. This geometry yields two insights. First, standard k-means ce
Code world models represent worlds as executable programs, but this representation alone does not determine how to construct a complex world. We introduce Recursive Code World Models (RCWM), a framework for reconstructing complex 3D worlds in code from a single reference image. RCWM couples a Recursive Scene Program (RSP) representation with a construction solver that recursively calls itself. An RSP represents the executable world as compositional scene code, while each solver call follows the same complete process: establish the whole, recursively reconstruct unresolved parts, and revisit th
We introduce NCP-ArchPreview, a latent-space language model that pushes autoregressive pretraining beyond standard next-token prediction (NTP). Alongside NTP, the model learns through Next Concept Prediction (NCP) to predict discrete concepts that span multiple tokens, introducing an explicit and more challenging concept-level objective while preserving standard token-level autoregressive generation. NCP-ArchPreview builds a latent space by constructing a product-quantized concept vocabulary directly from its hidden states, and subsequently learns to predict future concepts via a dedicated Con
We consider the problem of support recovery for sparse binary signals from noisy linear measurements. For sparse Gaussian measurement matrices we identify sufficient conditions on the minimal sample size for maximum-likelihood recovery in the high-SNR regime ds/p to infty, where p denotes the signal dimension, s the number of non-zero components of the signal, and d the expected number of non-zero components per row of measurement. Combined with known lower bounds, this yields an information-theoretic threshold of order slog(p/s) / log(ds/p), making explicit the price of measurement sparsity.
Large Vision-Language Models (LVLMs) have achieved strong performance on diverse visual tasks, yet their ability to reconstruct and reason about the 3D structure of the scene depicted in 2D images -- referred to as spatial intelligence -- remains limited. Existing approaches attempt to address this gap by using real-scene spatial question answering datasets that require dense geometric annotations. However, constructing such labels is costly, time-consuming, and often noisy due to reliance on external perception modules. In this work, we propose a novel paradigm inspired by human cognitive dev
Invasive coronary angiography (CAG) is the gold standard for diagnosing coronary artery disease, but interpretation varies substantially among observers. Existing AI systems can improve consistency but lack auditable decision processes and are limited in comprehensive open-ended assessment, undermining clinician trust and clinical adoption readiness. We developed CARDEA, a unified large vision-language model that serves as the inference core of a CAG pipeline. It was trained solely on public datasets and closed-ended tasks in three stages: visual feature alignment, a self-distilled Chain-of-Bo
Training data attribution (TDA) aims to identify training examples that shape model behavior, but its intervention value depends on both which examples are selected and how they are modified. Influence functions (IF) estimate behavioral changes under infinitesimal reweighting, yet IF-selected examples often show limited advantages over random selection under conventional weight-based interventions. This raises the question of whether influential examples lack intervention value or whether reweighting fails to realize their behavioral leverage.We introduce influence-guided response rewriting, w
Quantization has been widely adopted in LLM training and inference to reduce cost and improve efficiency. However, low-bit quantization of the attention module often introduces large errors at very low bit-widths, causing performance degradation. Existing methods mainly rely on smoothing techniques to handle outliers, while we propose a hybrid quantization design to better balance accuracy and efficiency. Specifically, we propose HyQuant, an efficient hybrid quantization framework for LLM attention. HyQuant quantizes most attention states into low-bit formats while retaining a small set of ver
What ran today and what it cost.