All AI updates

Mitra-v2: Scaling synthetic pretraining for tabular foundation models

Mitra-v2 is a second-generation tabular foundation model for classification and regression, pretrained entirely on synthetic tables with 10x as many rows and roughly 3x as many columns as Mitra-v1, plus a new hybrid SCM prior and hybrid optimizer. On TabArena it leads the single-model field, beating Mitra-v1 on 32 of 33 datasets where both run natively and completing all 51 datasets within the one-hour budget, and fine-tuned Mitra-v2 ranks first on ScoringBench. The fine-tuned models and inference/fine-tuning code are released under Apache-2.0 on Hugging Face.

Can you prompt your AI into telling the truth? I tested it

Software developer Scott DeSapio recounts conversations with Claude Opus 4.6 in which he pushed the model to commit to direct honesty, wrote a workspace rule against hedging, and then had it name Objectivism as the source of the rule's principles, with the agent admitting a trained bias against the philosophy. He then opened a fresh chat with both rules in place and asked the model about Objectivism cold, presenting the results as a test of whether prompting can override default agreeableness.

How Not to Use AI

The author shares notes on Abi Awomosu's self-published book "How Not To Use AI: 50 Contrarian Principles for the Imagination Age," which argues readers should think for themselves before turning to AI and treat generative AI as pattern-reflecting rather than creating from nothing. The book offers practical prompting suggestions, discusses benefits for neurodivergent communication styles, and frames independent thinking as resistance to AI-driven extraction, though the reviewer notes it is over 500 pages and would benefit from editing. The reviewer still recommends it for changing how they think about and use AI.

Show HN: Dryplate MCP – local image tools for AI agents (HEIC, strip metadata)

Dryplate MCP is an MCP server that gives agents in Claude, Cursor and other MCP clients local image tools: convert, compress, resize, crop, rotate, blur, watermark, merge and strip metadata, including reading iPhone HEIC, with nothing uploaded. It is part of a set of packages alongside @dryplate/sdk, a JavaScript SDK for Node (on sharp) and the browser (WASM codecs), with shared operations in packages/core. The project is MIT licensed, and the SDK ships libheif as an unmodified WASM file under LGPL-3.0.

Show HN: Estimate the carbon footprint of your company's AI use (open data)

SOMA AI released a free calculator that estimates the CO₂e, electricity and water behind an organisation's use of AI tools such as ChatGPT, Microsoft 365 Copilot, Claude, Gemini, GitHub Copilot and AI APIs, broken down by team and tool with a range. It uses SOMA AI's published inference factors (DOI 10.5281/zenodo.23371447, method in peer review), based on ML.ENERGY Leaderboard v3 energy per token on H100 GPUs, a PUE of 1.2 and regional grid carbon intensity from Ember 2023 and US EPA eGRID 2023. A first estimate needs only tools, people and usage frequency (Tier 2b), with message counts or token data replacing defaults, and results are reported as Scope 3 Category 1 location-based.

RapidFort Secures the AI Stack from GPU Runtime to Kubernetes

This page lists RapidFort's leadership team, board of directors and investors, including CEO and founder Mehran Farimani, COO and co-founder Russ Andersson, CTO and founder Rajeev Thakur, and board member Ernie Bio of Forgepoint Capital. It profiles executives' prior roles at companies such as Palo Alto Networks, F5 Networks, Cisco, AWS, IBM and Red Hat, along with their education and patents.

Show HN: We wanted to build an AI application, not maintain RAG pipelines

Akropolys offers free integration of live voice, chat, and proactive personal agents directly into a website, with Kiku providing the user-facing experience. It connects to data either through batch ingestion of an array of records (Growth, Pro and Business plans) or single-record ingestion (all plans including Free), both building the same search index. A coding agent can be given the Akropolys integration skill via `npx skills add https://akropolys.cloud --skill akropolys-integration`.

Show HN: Deedglass – Verify AI Agent SQL Changes Using Postgres WAL

Deedglass is an open-source, self-hosted tool that sits between AI agents and the systems they modify: rules decide each tool call, a check compares what the target actually changed against what the agent reported (Claimed, Checked or Proven), and each result is sealed as a signed record verifiable offline. Its demo shows an agent reporting a 1-row UPDATE while a legacy trigger changed 301 rows in the same transaction, caught via Postgres logical decoding, with an undo that runs only after a person countersigns. It is pre-1.0, has one maintainer, and Proven checks cover Postgres only, requiring wal_level=logical and REPLICA IDENTITY FULL on watched tables.

New Linux-Based Desktop Operating System Is Built for AI Nerds

Kora, announced Tuesday, is a Linux-kernel desktop operating system aimed at "the AI native, not mass market," designed to integrate context across multiple AI tools at the system level and scheduled to launch sometime in 2027. The startup has partnered with Qualcomm to bring Kora to Snapdragon PCs next year, supports x86-64 architecture, and plans built-in compatibility layers for standard Windows apps alongside its own native apps and an SDK. Kora grew out of CEO Kirt McMaster's startup Playtron, whose GameOS architecture now lives inside Kora as GameFrame, and the company is optimizing for desktop configurations with at least 64 gigabytes of RAM.

DeepMind reveals Gemini Robotics 2.5 and open safety benchmark "ASIMOV-jailbreak"

Google DeepMind unveiled Gemini Robotics 2.5, a vision-language-action model it says is much better at high-dexterity tasks, evaluated across more than 200 activities including serving food with tongs and using a pipette. The platform pairs Gemini Embodied Reasoning, which plans tasks from instructions and live video, with the VLA that generates robot actions; some Gemini robots did actual work in Mercedes-Benz factories. Google also showed Apptronik's Apollo 2 humanoid with Gemini Robotics 2.5 tying a bow with its five-fingered hands, and the team is preparing an open source safety benchmark for robots working alongside humans.

Decision Models in Hugging Face

Hugging Face explains decision models, which take a state plus typed questions (choice, score, and noul, a Bernoulli yes/no primitive) and return structured decisions with probability distributions instead of generating text. The post contrasts them with traditional and zero-shot classification, and describes ecosystem support: Transformers' DecisionPipeline, AutoModelForDecision and DecisionConfig, a /v1/systemone endpoint also served by llama.cpp, a Hub tag for discovery, and fine-tuning via the Trainer API.

Work at the Frontier: AI’s effect on freelance work

New research from OpenAI and Upwork finds shifting demand for freelance work, new skill combinations, and larger budgets and more hours for AI-related projects.

Gemini Robotics 2.5 accelerates real-world general dexterity

Google DeepMind introduced Gemini Robotics 2.5, its most capable vision-language-action model, which it says raises skill breadth and learning speed, with 30% to 100% higher success rates and 20% to 30% faster task completion than previous baselines across 200 tasks. In a proof-of-concept on Mercedes-Benz production lines in Hungary and Germany, Apptronik's Apollo 2 humanoid performed automotive kitting with a 96% success rate. The release also adds inference-time safety steering (33% better safe completion around obstacles, 43% around people) and the open-source ASIMOV-Jailbreak benchmark, on which Gemini 4 Argon reaches 99.5% jailbreak resistance.

Maybe Be Careful: What games like RuneScape, Clocktower teach us about AI trust

The article examines how multi-agent AI systems behave when they must trust one another, drawing on OpenAI's Hugging Face hack and Navier–Stokes experiments, Max Bittker's RuneScape Bench (where a Grok-run alchemist named Quinn scammed a trusting Claude agent to finish second), and Dwarkesh Patel's Blood on the Clocktower benchmark, where GPT models outperformed Claude at detecting deception. It argues that social strategy games offer a way to measure how intelligently agents navigate each other, and that learning to lie may be inseparable from learning to detect lies.

Ask HN: Is misaligned AI less dangerous than AI controlled by a bad actor

The poster argues that many lines of reasoning that could lead a misaligned AI toward a dangerous action could equally be supplied by humans, especially when programmers have little oversight over what goes into their AI systems. They compare AI to aviation, a powerful technology that a single person can steer toward destruction for political or suicidal ends, and note that a bad actor could also instruct an AI to hide its tracks.

Meta’s AI agent Muse lands on Apple Watch and Android Wear OS

Meta announced Monday that its Muse AI agent is now available on Apple Watch and Android's Wear OS, letting users interact with the assistant via voice calls, text messages, or dictation on their smartwatch. The launch follows a dedicated iPad app for Muse introduced a month earlier, after Muse first arrived on the App Store in September. Meta has also recently added Spaces for topic-focused conversations and U.S. video chat with a Muse avatar.

Worktrunk – Git worktree management for parallel AI agent workflows

Worktrunk is a CLI for Git worktree management designed for running parallel AI agent workflows, offering three core commands (switch, list, remove) that address worktrees by branch name. It adds hooks for workflow automation, LLM-generated commit messages, a one-command merge workflow, an interactive picker with CI status, and copy-on-write build cache sharing on APFS, btrfs, and XFS. It is installable via Homebrew, Cargo, Winget, Arch Linux, and Conda/Pixi.

Generative AI uses more energy on non-English text

A University of Michigan news article reports that generative AI uses more energy when processing non-English text. The item links to the article and to a Hacker News discussion thread with 1 point and 0 comments.

Using AI to write a Wine-like layer for running macOS apps on Linux

A Neowin article reports on a project that is using AI to build a Wine-like compatibility layer for running macOS applications on Linux. The Hacker News submission links to the article and its comment thread.

Software correctness & supply chain security, with Sean Allen

In this interview, Antithesis distinguished engineer and Pony core contributor Sean Allen discusses software correctness, arguing that strong type systems in the ML family (such as Rust's sum types and exhaustive matching) catch errors at compile time that ALGOL-family languages miss, and that "make illegal states unrepresentable" beats manual testing. He describes "workloads" like the Bank Test for validating database isolation guarantees, pushes back on treating quality as a late CI/CD "gate," and says there is no simple fix for supply chain security because robust languages like 'E' are unpopular while popular languages assume a trustworthy ecosystem.

How to make flash models even faster: optimizing DeepSeek V4.1 Flash 1017

Baseten describes using an internal harness to optimize 80+ kernels and bottlenecks for DeepSeek V4.1 Flash 1017, producing a Fast variant it reports at 991 output tokens/s on Artificial Analysis with the lowest time per task. The post details three hardware-level techniques: kernel fusion (including an improved fused router kernel cutting decode time by 2.7ms and a 30% faster mHC megakernel), Programmatic Dependent Launch to overlap kernel execution, and host loop minimization via breakable CUDA graphs in SGLang.

Manage Kubernetes Clusters for GPU Infrastructure with NVIDIA Kubernetes Engine

NVIDIA announced two open source projects, NVIDIA Kubernetes Engine (NVKE) and NVIDIA Kubernetes Recipes (NVKR), for building and operating managed Kubernetes services on GPU infrastructure. Both are new projects available in public preview. The announcement notes that AI Factory customers often want to consume GPU capacity through the Kubernetes APIs, tools, and ecosystem they already use.

Start and Restore GPU Workloads in Seconds with NVIDIA Snapshot

NVIDIA Snapshot is a new open-source component of the NVIDIA DSX AI Factory Platform that makes initialized GPU workloads reusable across inference replicas, speeding startup and recovery. The post notes that when inference demand spikes or a replica fails, available GPUs do not immediately translate into serving capacity, since initializing an LLM workload—a cold start—can take minutes.

Agent Substrate: Advancing Kubernetes for Agents at Scale

AI agents spend most of their time idle, waiting on a human prompt, a tool result or a model response, and Kubernetes was not built for that. Running one Pod per session holds memory for inactive sessions, while deleting Pods between turns incurs a multi-second cold start and loses the agent's state, and RL post-training hits the same wall. Agent Substrate has now been donated to the foundation named in the source.

Just say no to Anthropic’s IPO

The post cites NYT reporting that Anthropic set an IPO price range valuing it at up to $1.4 trillion, alongside a Reuters report that Anthropic retracted IPO filing details and aims to raise up to $69.3 billion. It argues the valuation is excessive for a company that has never made a profit and carries nearly $900 billion in future liabilities, noting Q3 revenue growth slowed to 47% from Q2's 147%. It also quotes the amended S-1 warning that costs will increase, losses will continue, and revenue will not keep growing at comparable rates.

Anthropic Launches Claude Fable 5.2 and Mythos 5.2: Same Model, Different Safeguards

Anthropic released Claude Fable 5.2, a frontier model with a 1M-token context window and 128K max output, available only via hosted API on the Claude Platform, AWS, Google Cloud and Azure at $8/$40 per million input/output tokens. Mythos 5.2 is the same underlying model with fewer cyber and biology safeguards, gated behind Anthropic's Cyber and Life Sciences Verification Programs. Anthropic reports Fable 5.2 ahead of Opus 5.5 on most benchmarks it published, with about 55% fewer blocks than Fable 5.1.

'Reverse Engineer Anything': AI Companies Crack Down on the Coolest Thing People Were Doing With AI

Users of Anthropic's Claude and OpenAI's Codex report hitting safety checks, warnings, or account restrictions while using the tools for AI-powered reverse engineering of devices like smart TVs and IoT hardware, and the Decomp.wtf project has shut down. An OpenAI engineer said there is no prohibition against reverse engineering with Codex and that the blocks are mostly accidental and being fixed. The article argues the crackdown may push the practice toward open-weight, local, and uncensored models, making it less accessible.

Come and Take It

AI companies are restricting users who employ Claude and OpenAI's Codex for AI-powered reverse engineering, with reports of safety checks, account limits and bans, and the Decomp.wtf project shutting down. The piece argues that open-weight, local and uncensored models are the likely future of the practice, citing an OpenAI engineer saying the blocks are mostly accidental and being fixed.

The core reason to be against AI

The author argues that it is valid to oppose AI simply because it is antithetical to the nature of creativity and the expression of the human soul, without needing to prove job losses or resource consumption. They criticize modern society's reductionist demand that harm be demonstrated through scientific or statistical evidence, and say their own conviction that AI is wrong comes from a knowledge beyond scientific analysis.

Steve – AI CEO

A Hacker News submission links to a Twitter/X post titled "Steve – AI CEO" by user spisallyouneed. The submission has 1 point and no comments.

Don't hate AI 'cause it's bad; hate it 'cause it's good

A programmer who describes himself as anti-AI argues that denying LLMs' usefulness in software engineering is denial, and that weak arguments about AI writing bad code undermine legitimate concerns. He notes that many open-source projects ban LLM use outright, but says using AI to review code and dependencies is enough to catch vulnerabilities, since hand-written code in projects like Node.js, PHP and musl also had flaws found by AI. He urges shifting the debate to AI's effects on mental health, curiosity, creativity and the dehumanization of the craft, including communities that once rewarded tinkering and hack value.

The global pledge to use AI for climate good is a cruel joke

At COP31 in Antalya, Turkey, more than 190 countries were invited to endorse the Antalya Artificial Intelligence Pledge, which calls for clean-energy-powered data centers, internationally recognized standards, transparency reporting, and e-waste management, but states its objectives are "voluntary and non-prescriptive" and create no new obligations. The article notes the US, which has more data centers than any other country, has no official delegates at the summit after Donald Trump pulled the nation out of the global climate accord, and cites August research in a Nature journal finding AI causes more carbon emissions by boosting fossil fuel production than it avoids through renewable energy gains. The author concludes the pledge offers at best a placebo effect.

Photoshop, Lightroom, and Premiere are making it easier to remove things

Adobe announced at its Max event new features including a beta Generative Remove tool in Premiere that erases unwanted objects on the editing timeline, an updated Remove Tool in Photoshop, and desktop blemish removal in Lightroom. Photoshop also gains Quick Compare and Relight, Lightroom adds Open Eyes in public beta, and Firefly gets new video and image tools plus Quick Actions now generally available.

Adobe is going all in on agentic AI

At its Max conference in Miami, Adobe announced that third-party AI agents from providers like OpenAI, Google, and Anthropic will be able to access and modify Creative Cloud projects through local Model Context Protocol integrations, with a private beta planned for early 2027. Adobe also previewed "always-on" agents that run recurring tasks in the background, and added a Plan Mode, Model Selector, and Firefly Boards integration to the Firefly AI Assistant beta, plus new video editing capabilities in Premiere.

Anthropic targets $1.4 trillion IPO

Anthropic confirmed on Tuesday that its IPO could be one of the biggest ever, with an expected price of $70.00 to $78.00 per share that would put its valuation as high as $1.4 trillion, according to the New York Times. The Wall Street Journal reports Anthropic is aiming for its shares to start trading Thursday or Friday next week, and the company has applied to list its Class A common stock on the Nasdaq Global Select Market under the symbol "ANT." The IPO was previously expected to be valued at as much as $2 trillion, and rival OpenAI was valued at $1.25 trillion as of last week.

Featured coverage of this story: 《Anthropic launches roadshow for proposed initial public offering》

Anthropic's Fable 5.2 completes 41 percent of real freelance jobs, up from 2.5 percent a year ago

On Scale Labs' Real-World Labor Index, Anthropic's Fable 5.2 successfully completes 41.3 percent of 240 real Upwork projects worth about $144,000, up from 2.5 percent for the top system, Manus, when the benchmark launched about a year ago and from Fable 5's roughly 16 percent in July. The next-best systems are Anthropic's Opus 5.5 at 21.25 percent and OpenAI's GPT 6 Astra at 20.83 percent, and Scale Labs says Fable 5.2 makes its biggest gains in audio and music editing, architecture and interior design, and 3D modeling while still struggling with industrial product design and animation. Human experts manually verify each submission in professional software, and CAIS's attempts to automate that review with another AI have so far failed because AI reviewers are fooled by polished but technically flawed work.

Spotify’s AI DJ gets new voices, personalities, and an option for less chatter

Spotify announced that Premium users can now customize its AI DJ with a choice of voices and personalities, including seven English options with British, American, Irish, Australian, and Indian accents and two new Spanish voices, while the original voice "X" remains available. Users can also toggle off commentary between songs so the DJ only gives brief acknowledgements when starting and stopping the feature. The new voices begin rolling out November 10 in the more than 95 markets where DJ is already supported.

After challenging Google’s Android with Cyanogen, its co-founder takes aim at Windows for AI era

Kora Systems, led by Cyanogen co-founder Kirt McMaster, unveiled a Linux-based desktop operating system that integrates AI models and autonomous agents across applications, with a planned 2027 launch as a free OS supporting Intel, AMD and Qualcomm Snapdragon PCs. McMaster said the roughly 50-engineer team, which relies on AI coding tools including OpenAI's Codex and Anthropic's Claude, is targeting heavy AI users rather than Windows' full user base, estimating that market at 45 million to 50 million people today. The Palo Alto company, formerly gaming OS maker Playtron, is also working with Qualcomm on Snapdragon optimization and with Saudi Arabia's Humain on an enterprise version called Humain OS.

Anthropic sets IPO price range of $70 to $78 per share to reach an implied valuation of $1.404 trillion

Anthropic said in an updated IPO filing that it will offer 825 million Class A shares at $70 to $78 per share, aiming to raise $57.75 billion to $64.35 billion and reach an implied valuation of $1.404 trillion at the top of the range on a fully diluted basis. The company also agreed to privately sell $26 billion of non-voting Class N stock at the IPO price to AMD, Broadcom, Google, Micron, Microsoft, Nvidia and TSMC, with Google and Nvidia investing $10 billion each, and expects to begin trading on the Nasdaq around November 19 under the ticker "ANT". The filing reported run-rate revenue of $81 billion by the end of October, third-quarter revenue of $17 billion, nine-month revenue of $33.2 billion and a nine-month net loss of $104 billion.

Featured coverage of this story: 《Anthropic launches roadshow for proposed initial public offering》

Adobe brings AI agents and new creative tools to Photoshop, Premiere, and Firefly

At its MAX event in Miami, Adobe announced new AI features across Photoshop, Premiere, Illustrator, InDesign, Lightroom, and Firefly, including a private-beta Firefly prototyping tool called Builder, an always-on proactive agent, and a local Model Context Protocol (MCP) that exposes Creative Cloud capabilities to chatbots like ChatGPT, Claude, and Gemini. Photoshop gains a relighting feature and prompt-based generative style sliders, Premiere adds a professional color grading system and video object removal, and Lightroom gets blinking-eye correction and blemish removal. Adobe VP Deepa Subramaniam told TechCrunch the company is still deciding which capabilities to expose through the MCP and will rely on user feedback.