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Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX

Perplexity launches Portable Computer local AI agent on Windows for NVIDIA RTX PCs with 24GB+ VRAM, keeping sensitive work on-device.

Perplexity released Portable Computer, a local version of its agentic Perplexity Computer, in its Windows app for NVIDIA GeForce RTX PCs and RTX PRO Workstations with 24GB or more VRAM. It runs a locally post-trained model such as Qwen 3.8 27B optimized for NVIDIA RTX GPUs, handling multistep tasks and file analysis on-device with a SPACE sandbox and built-in browser. Connectors cover Outlook, OneDrive, Word, Google Drive, Gmail, Slack, and GitHub, and the agent can escalate to cloud models only with user permission.

NVIDIA Blog · 2d agoAI industry

AI for everyone in every language

Google says its AI now spans 300+ languages reaching 7 billion people, unveiling Gemini 3.5 Transcribe, Live Translate, and TranslateGemma models.

Google announced its technologies now support more than 300 languages spoken by 7 billion people, 86% of the global population. Gemini 3.5 Live Translate powers real-time spoken translation across 70 languages and 2,000+ language pairs, while Gemini 3.5 Transcribe is its most precise speech-to-text model. Its Universal Speech Model was trained on 12 million hours of audio using cross-lingual transfer learning, and TranslateGemma is a family of lightweight open translation models covering 55 languages that run on-device. Open-data partnerships include WAXAL covering 27 Sub-Saharan African languages and Project Vaani with 30,000+ hours of speech across 109 languages.

Google · AI · 1d agoAI industry

[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)

Latent Space AI news roundup: Steve Yegge shuts down Gas Town, Databricks reports 60% higher coding spend on GPT-6 Astra, OpenAI launches misalignment disclosure framework.

Latent Space's AI News digest for September 15-16, 2026 leads with Steve Yegge shutting down his Gas Town orchestrator despite spending thousands monthly on coding-agent subscriptions. Databricks rolled out GPT-6 Astra to roughly 3,500 engineers, reporting superior long-horizon performance over Opus 5 and Sol 5.6 but a ~60% increase in coding spend. OpenAI published a formal framework for disclosing model misalignment incidents with six case reports, while Microsoft and Google Research released safety papers on 'capability laundering' and the Fuse motive-inference benchmark. Xiaomi shared live RL training telemetry for MiMo-V2.6, estimated at $493k/day for the 1T-class Pro run.

Latent Space · 6h agoAI industry

Mistral X Mozilla: Private, Multilingual AI Browsing

Mistral and Mozilla partnered to power Firefox's Smart Window AI browsing assistant in France and North America, with zero data retention.

Mozilla's Firefox Smart Window (beta) AI browsing assistant is now powered by Mistral models for users in France and North America, with the UK and Germany expected later this year. Conversations are not saved on Mozilla's servers by default, and Mistral agreed to zero data retention. Both companies frame the partnership as advancing open-source, privacy-first, and regionally fine-tuned AI, with models trained on regional languages, dialects, and cultural context.

Hacker News · securityupdated · 22h agofirst · 1d agoAI industry 2 sourcesHN 35↑ · 8 comments2

What must happen for AI’s trillion-dollar gamble to pay off

Hyperscalers need 2.7x productivity gains by 2030 to justify nearly $1.1 trillion in AI data center spending, or risk bankruptcy and capital misallocation.

Wharton finance professor Jessica Wachter estimates hyperscaler AI expenditure will reach nearly $1.1 trillion through 2027 and that a 2.7x productivity increase is needed to break even by 2030. AI revenues of roughly $150-200 billion this year fall far short of about $750 billion in annual spending, with total investment from Alphabet, Microsoft, Amazon, Meta, and Oracle potentially exceeding $5 trillion over four years. Alphabet reported its first free cash flow deficit (about $5.9 billion) since its 2004 IPO due to AI infrastructure costs. Researchers warn that failed demand could make the buildout the largest capital misallocation in history, with depreciating GPU chips risking stranded assets.

MIT Technology Review · AI · 2d agoAI industry

Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama

Opinion piece urges migrating 35KB preprompts from Anthropic/OpenAI to self-hosted Ollama, citing session privacy risks and safety filters blocking security research.

The author documents gotchas migrating 35KB preprompts from Claude Opus to self-hosted Ollama, motivated by fears that frontier providers train on user sessions, citing the OpenAI Navier-Stokes controversy. The piece argues inference providers cannot audit their own retention or training pipelines and that only self-hosted hardware offers verifiable privacy. It also criticizes frontier safety filters for refusing vulnerability research tasks and calls for models that support exploitability testing in CI/CD pipelines.

Helping older adults use AI in everyday life

OpenAI and AARP's OATS launch the Older Adults AI Skills Jam, a free program teaching seniors to use ChatGPT and spot scams.

OpenAI Academy, with Older Adults Technology Services (OATS) from AARP, is hosting in-person AI Skills Jam events in 10 US communities as part of a multi-year Senior Planet program. OpenAI says the share of US ChatGPT messages from people 55+ grew from 6% to nearly 10% in a year. The workshops include scam-awareness training, teaching warning signs like urgent language and suspicious links, and note that users ask ChatGPT tens of millions of times weekly to evaluate suspicious messages.

OpenAI News · 22h agoAI industry

Building AI to accelerate science and improve lives

Google highlights AI-for-science advances: AlphaGenome Atlas mapping 9 billion genetic variants, WeatherNext 3 weather model, and global health AI tools.

Google detailed AI advances across science and health, including AlphaGenome Atlas, which mapped all 9 billion possible single-letter genetic changes in the human genome and was made openly available. WeatherNext 3 delivers 50% more accurate precipitation forecasts a day or more ahead and is already in products. AlphaFold is used by 4 million researchers in 190 countries, TB chest X-ray screening has processed 25,000+ scans across six nations, and the diabetic retinopathy model has supported 1.15 million screenings. Google also released its AI & Economy ATLAS global usage insights.

Google · AI · 1d agoAI industry

Anthropic wants Claude to analyze your bank account and financial data

Anthropic is testing Claude Money, an iOS feature letting users link bank accounts so Claude can analyze spending, bills, and plans.

Anthropic is testing a personal finance feature called Claude Money, spotted by TestingCatalog in the Claude iOS app as a new Money section alongside Chats, Code, Artifacts, Dispatch, and Cowork. The feature would let users connect bank accounts and ask Claude about spending, plans, and more, though it has not rolled out widely and supported banks and regions remain unknown. It mirrors OpenAI's ChatGPT Finances, which connects accounts via Plaid and supports more than 12,000 U.S. financial institutions. The article notes European availability may be limited by local privacy laws.

BleepingComputer · 13h agoAI industry1

Snap is launching a new Specs AI tool, and it’s coming to iOS and Mac

Snap launches Specs Intelligence, an anticipatory AI assistant on iOS in preview with Mac early access, alongside its Specs AR glasses.

Snap introduced Specs Intelligence, an AI assistant that connects accounts like Gmail and Slack to proactively surface tasks such as meeting prep and travel planning. It is available on iOS in preview today, with a waitlisted Mac early-access experience, launching alongside Snap's first consumer AR glasses, Specs. Snap says it runs a proprietary mix of open-source models hosted in the US alongside local LLMs, and claims connected personal content will not train its models or serve personalized ads. The company must still win user trust given the assistant's broad access to personal data.

The Verge · AIupdated · 12h agofirst · 14h agoAI industry 2 sources

The AI data center e-waste problem is huge — and getting bigger

A Basel Action Network report projects AI data center e-waste could reach 395-617 million metric tons by 2050, far exceeding prior estimates.

The nonprofit Basel Action Network (BAN) published a report arguing AI e-waste has been vastly underestimated because it counts all data center infrastructure, not just servers and GPUs. BAN projects 8.6-13.1 million metric tons of AI-related equipment retired annually, totaling 395-617 million metric tons between 2025 and 2050, based on roughly 70,000 tons per gigawatt and a projected 219GW of capacity by 2030. Less than a quarter of the 68.3 million tons of e-waste generated yearly worldwide is formally collected and recycled, with informal disposal exposing workers and children to toxins like lead and chromium.

The Verge · AI · 17h agoAI industry

Amazon launches Alexa+ in India with Hindi support

Amazon launched its generative AI Alexa+ assistant in India with Hindi support in Early Access, free for Prime customers after testing.

Amazon announced that Alexa+, its generative AI-powered conversational assistant, is now available in India in Early Access with Hindi and English support, including mid-sentence language switching and long-form context retention. The assistant handles multi-step tasks such as ordering groceries via Amazon Now and controlling smart home devices, with integrations including Swiggy, District, MakeMyTrip, EazyDiner, Amazon Music, and JioSaavn. It will be free for Prime members after the testing period and cost about $20.85 per month for non-Prime customers. Amazon is targeting India's 600 million-plus Hindi speakers, and says smart device adoption grew 20% year over year.

TechCrunch · AI · 1d agoAI industry

University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK

University of Manchester retrained NVIDIA Earth-2 CorrDiff and StormCast on Isambard-AI to forecast UK air pollution at 2-3 km resolution.

University of Manchester researchers led by professor David Topping adapted NVIDIA's Earth-2 generative AI frameworks to forecast air pollution across the UK. Earth-2 CorrDiff was retrained in two days on a single eight-GPU node of Isambard-AI (5,448 GH200 Grace Hopper Superchips, 21 exaflops) using a year of hourly simulated pollution data, producing a UK-wide model at 2-3 square kilometer resolution. The team added Earth-2 StormCast for time-dependent forecasts that ingest real air quality observations, and demonstrated the workflow runs on the DGX Spark desktop AI system. Open-source training data and workflows are planned so other countries and cities can build similar pollution models.

NVIDIA Blog · 1d agoAI industry

The AI data center boom is colliding with cities scarred by big industry

Philadelphia activists rally against AI data center construction amid energy and pollution concerns, joining a wave of U.S. city moratoriums.

Residents of Philadelphia's Grays Ferry, home to a former oil refinery, launched the 'No Data Centers in Philly' campaign over pollution, noise, and resource concerns. BloombergNEF projects U.S. data centers will consume more natural gas than Germany and Japan combined by 2035. New York Governor Kathy Hochul signed an executive order pausing permits for large data center projects, and moratoriums have passed in Denver, Indianapolis, Asheville, Charlotte, and Reno.

TechCrunch · AI · 1d agoAI industry

Why I'm still bearish on LLMs after Navier-Stokes

Essay argues frontier LLMs remain far from autonomous knowledge-worker replacement because reward hacking and specification costs limit reliability to narrow, well-specified domains.

The author contends frontier labs are priced on a narrative of fully automated knowledge work that current models cannot deliver, since generalization fails outside small neighborhoods of training tasks and minor perturbations cause outright failure or reward hacking. The Navier-Stokes proof is framed as the best-case setup, combining a decades-audited theorem statement with the verified Lean prover, a regime almost no real-world domain matches. Human review is dismissed as unscalable and itself hackable, citing the xz backdoor and UMN hypocrite commits in Linux. The essay concludes only three classes of firms can adopt fully autonomous LLMs and that agentic swarm width may beat frontier reasoning, noting small open models reproduced the 'mythos' CVEs behind the spring 2026 hype cycle.

AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

At AI Infra Summit, NVIDIA showcased Vera Rubin and DSX gains up to 1.4x tokens per megawatt, plus Annapurna, d-Matrix, and Pinterest partnerships.

Ian Buck's AI Infra Summit keynote before 8,000+ attendees emphasized validated agentic tokens per megawatt as the emerging AI infrastructure metric. Announcements include Amazon's Annapurna Labs collaborating on NVHBM custom high-bandwidth memory, d-Matrix integrating NVLink Fusion with Raptor XPUs, and Pinterest using Blackwell plus Dynamo inference software for conversational visual discovery. Lambda reported 23% better performance per watt with DSX MaxLPS on Blackwell servers, running 19 nodes on a 16-node power budget. NVIDIA says DSX MaxLPS combined with Groq 3 LPX on Vera Rubin NVL72 targets up to 35X token throughput per megawatt versus GB200 NVL72 for 2-trillion-plus-parameter models.

NVIDIA Blog · 1d agoAI industry

AI for Societal Impact

Google publishes a collection page showcasing partnerships applying AI to health, disaster prediction, learning, and economic opportunity.

Google's 'AI for Societal Impact' page curates examples of experts and local leaders applying AI to disease detection and prevention, natural disaster prediction, education, and economic opportunity. It is a marketing-oriented collection page with no new technical details.

Google · AI · 1d agoAI industry

Tell HN: iOS 27 does not allow Apple Intelligence to be disabled

Hacker News discussion argues Apple Intelligence is a marketing umbrella for disparate long-standing ML features, explaining why iOS 27 lacks a disable switch.

A 'Tell HN' post reports that iOS 27 does not allow users to fully disable Apple Intelligence. Discussion replies argue 'Apple Intelligence' is a marketing term covering disparate features rather than a single product. Commenters cite long-standing local-model features such as image OCR, battery-life prediction, and the Latent Semantic Mapping text classification framework available since 2007.