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Nvidia’s new Medical Physics Simulation framework treats healthcare robots as physical AI systems that need embodied experience to learn, not just code. Physical AI is the term Nvidia and much of the robotics industry now use to describe machines that have to learn how the world behaves through contact, force, and consequence, rather than through […] The post Nvidia bets physical AI can solve healthcare robotics’ data problem appeared first on AI News .

Big Blue says customers postponed rather than abandoned major purchases as hardware soaked up enterprise budgets

Cordless, handheld, robot, and traditional—we tested them all to find the vacuum that’s fantastic for fur.

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Alphabet has raised its 2026 investment forecast to as much as $205 billion, saying demand continues to outpace spending. Google Cloud grew 82 percent in the second quarter. CEO Sundar Pichai says Google needs a larger base model for its next leap in AI and has kicked off an ambitious Gemini 4 training run. The article Google CEO Pichai says Gemini's next leap depends on building "much larger base models" appeared first on The Decoder .

<div class="hs-featured-image-wrapper"> <a href="https://blog.hubspot.com/marketing/scrunch-vs-ahrefs" title="" class="hs-featured-image-link"> <img src="https://53.fs1.hubspotusercontent-na1.net/hubfs/53/scrunch-vs-ahrefs-1-20260722-2359226.webp" alt="semrush vs ahrefs ai visibility tools" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p>Scrunch and Ahrefs Brand Radar both track brand visibility in AI answers, but they sol

"I don't think you get a model this strong and this quickly on the heels of Fable doing strictly distillation," one expert told TechCrunch.

Take a closer look at the Galaxy Watch 9 and Watch Ultra 2, including new health tracking features, AI tools, and key upgrades.

Samsung unveiled new Galaxy foldables, smartwatches, AI features, and more at Galaxy Unpacked. Here's a recap of everything announced.

<p> Ask your cloud anything without breaking prod. Read-only. </p> <p> <a href="https://www.producthunt.com/products/cynative-deep-infra-research?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1204484?app_id=339">Link</a> </p>

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AMD has agreed to invest up to $5 billion in Anthropic under an infrastructure agreement covering tens of billions of dollars’ worth of AI systems. Anthropic will deploy up to two gigawatts of capacity using AMD’s Instinct MI450-series accelerators, with deployment of the first gigawatt beginning in the first half of 2027. AMD’s investment will […] The post AMD to invest up to $5 billion in Anthropic under AI infrastructure deal appeared first on AI News .

AI remains its biggest bet, Bezos brigade tells El Reg, even as another round of layoffs reaches the teams building it

Article URL: https://github.com/akon47/NvChat Comments URL: https://news.ycombinator.com/item?id=49019051 Points: 1 # Comments: 0

Article URL: https://twitter.com/i/status/2080180914135667085 Comments URL: https://news.ycombinator.com/item?id=49018858 Points: 2 # Comments: 1

With “blessings” from the original Jibo founders, iKairos is a wearable or desk-mounted “AI journal” that turns your family moments into AI images and video.

Article URL: https://ktransformers.net/en Comments URL: https://news.ycombinator.com/item?id=49018742 Points: 1 # Comments: 0

<p> Increase your brand's AI visibility on autopilot </p> <p> <a href="https://www.producthunt.com/products/promptscout?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1204396?app_id=339">Link</a> </p>

Article URL: https://medium.com/@v_regis/why-self-auditing-your-ai-model-violates-eu-ai-act-article-53-22f693fb64a7 Comments URL: https://news.ycombinator.com/item?id=49018523 Points: 1 # Comments: 0

Grand compute push could end up as dry as England's reservoirs unless ministers act fast

<p> Permission-first real-time senses for AI companions </p> <p> <a href="https://www.producthunt.com/products/ai-eyes-2?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1204377?app_id=339">Link</a> </p>

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Article URL: https://github.com/bossandboss/Ai-Firewall Comments URL: https://news.ycombinator.com/item?id=49018165 Points: 1 # Comments: 0

Article URL: https://github.com/MasihMoafi/Elpis Comments URL: https://news.ycombinator.com/item?id=49017977 Points: 1 # Comments: 0

The company said earlier this year it expected to spend as much as $190bn on AI investments.

Article URL: https://andytimm.github.io/posts/cs336/cs336_review.html Comments URL: https://news.ycombinator.com/item?id=49017816 Points: 1 # Comments: 0

<p> Track Codex and Claude Code and respond from your Notch </p> <p> <a href="https://www.producthunt.com/products/chimlo-agents-in-your-macbook-notch?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1204290?app_id=339">Link</a> </p>

ServiceNow's investment gives BusinessNext a strategic partner to expand its AI-powered banking software globally.

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1v450o3/real_task_cost_across_gpt_claude_gemini_and_kimi/"> <img src="https://preview.redd.it/7ejtvp684xeh1.png?width=140&height=65&auto=webp&s=10790ba444afd733ece8c54a8b9da99969a86066" alt="Real task cost across GPT, Claude, Gemini and Kimi, 10.6x spread on models with only 2x price difference [R]" title="Real task cost across GPT, Claude, Gemini and Kimi, 10.6x spread on models with only 2x price difference [R]" /> </a

And accuses Thailand hosting hardware that may have helped distillation attack

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arXiv:2607.19361v1 Announce Type: new Abstract: Most safety guardrails for large language models (LLMs) evaluate each prompt-response pair in isolation, which misses failures that arise only over a dialogue as benign turns compose into harm. We term this Conversational Risk Accumulation (CRA): gradual intent drift, fragmented assembly of prohibited instructions, and sensitivity build-up from repeated disclosures. We propose a session-layer CRA Framework that tracks three trajectory signals: sema

arXiv:2607.19523v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) is widely used to adapt large language models to downstream tasks, but its effect on behavioral diversity in sequential decision-making remains under-explored. We study this question in a controlled suite of deterministic board games based on tic-tac-toe variants, where optimal actions are exactly computable and diversity can be measured directly. Across state-level evaluation, arena gameplay, and training trajectories,

arXiv:2607.19604v1 Announce Type: new Abstract: Injecting factual knowledge into large language models (LLMs) reliably and at scale remains an open challenge. Hypernetworks provide a promising solution to large-scale knowledge injection. Although hypernetworks are typically applied for test-time adaptation, we explore their use in train-time knowledge injection, where, given a large corpus of facts, we train a hypernetwork to generate a fixed LoRA adapter that, when inserted into the target mode

arXiv:2607.19629v1 Announce Type: new Abstract: Large language models operating in emotionally sensitive contexts face a structural trilemma: when users in vulnerable states request information that may reinforce maladaptive attribution, current response architectures resolve the tension through protective restriction, uninflected facilitation, or unintegrated co-presence of both imperatives -- each preserving one objective at the cost of the other. Administering a three-turn escalating vulnerab

arXiv:2607.19678v1 Announce Type: new Abstract: AI-generated answers in high-stakes domains are often fluent but difficult to verify, especially when they contain multi-step reasoning rather than a single final answer. We propose a reasoning-based, reference-free framework for auditing LLM-generated outputs. The method decomposes a generated reasoning trace into segments, labels local premise-target relations using Natural Language Inference (NLI), and organizes these relations into a hypergraph

arXiv:2607.19686v1 Announce Type: new Abstract: Masked diffusion models (MDMs) are a promising family of language generators, but achieving high-quality few-step generation remains challenging. In MDMs, all forward trajectories collapse to a single fully masked state, leaving no terminal entropy for consistency-style few-step generation. While recent few-step alternatives based on uniform-state diffusion avoid this degeneracy, it becomes harder to distinguish clean tokens from noise than MDMs, w

arXiv:2607.19747v1 Announce Type: new Abstract: As large language models and AI agents become the primary consumers of search results, document set quality determines the upper bound of downstream generation. Yet existing evaluation systems remain confined to scoring documents independently and aggregating via nDCG, ignoring inter-document interactions (redundancy, conflict, complementarity) and unable to answer what makes one document set better than another. To address these issues, we propose

arXiv:2607.19751v1 Announce Type: new Abstract: We present a regression-based approach to Arabic dialect geolocation that models dialectal variation as a continuous geographic space rather than discrete categories. Speaker origin is predicted as continuous latitude-longitude coordinates using a hierarchical neural architecture that fuses frame-level XLS-R-300M and Whisper-large-v3 encoder representations with phonotactic descriptors through a Transformer encoder and a learnable attention-pooled

arXiv:2607.19794v1 Announce Type: new Abstract: Production LLM-based financial sentiment analysis faces a structural cost trap: most queries are trivially classifiable, yet expensive cloud reasoners process them all, and the bill scales linearly with user count. We present TriAgent, a multi-agent committee stratified by contextual granularity -- a word-level lexicon (VADER), a sentence-level domain transformer (FinBERT), and a cross-sentence reasoner (Qwen2.5, 0.5B-14B-4bit, with Mistral-7B and