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Nov 15Sun
  1. Hacker News AI58

    Europa, the EU's open AI model, is aiming for nearly 1T parameters

    Domyn, the Milan-based company leading the EU-backed EUROPA consortium, reported in a November 12, 2026 technical post that it ran training trials for a model with 951.9 billion parameters on the JUPITER supercomputer in Jülich, Germany, more than double the Commission's 400 billion minimum. Using a mixture-of-experts design with 384 experts (8 active per token, 32.8 billion active parameters), Domyn says it raised throughput from 90 to 1,293 tokens per second per GPU through software fixes contributed back to PyTorch and TorchTitan. The post describes only trials, not a completed training run, and EUROPA's weights, license, training data and release date remain unpublished.

  2. Hacker News AI18

    Lawyer upgrades eight-V100 private AI server to run 80% of DeepSeek v4.1 Flash

    A lawyer running a private AI server on eight used Nvidia V100 GPUs moved about 80% of its work from 2-bit to 4-bit NVFP4 precision, adding 1TB of RAM and an RTX 3090. The server runs DeepSeek V4.1 Flash with a legal harness for his law practice, and code output dropped from 160–215 to 150–180 tokens per second, though the crashes that hit the new build are gone. The crashes, originally blamed on PCIe, were likely caused by a bad PSU.

Nov 14Sat
  1. Hacker News AI58

    China builds 800MW AI data center campus to rival US Stargate project

    According to a SemiAnalysis report, China is building an 800MW AI data center campus in Inner Mongolia that could challenge the economics of America's Stargate project. Envision built the first 120 MW of its Galaxy AI data center campus in under a year, at a cost researchers put at one-fifth of comparable US projects, after visiting the site in September. To secure the large amounts of electricity AI data centers need, Envision is building its own wind farms and battery storage alongside the computing facility.

  2. Hacker News AI64

    FAA tees up $875M AI tool to help manage air traffic congestion

    The FAA plans to launch its AI-based SMART system to advise air traffic controllers in the congested airspace over Washington, DC, as soon as September 21, as a first step toward a nationwide rollout across the 29 million square miles of US national airspace. SMART uses AI models to predict air traffic flows and identify potential conflicts based on airline schedules, weather, airport capacity, and airspace conditions, aiming to cut fuel burn, improve on-time performance, and speed recovery from congestion. The tool is part of an $875 million, 12-year contract awarded to Boston-based Air Space Intelligence in June, which also covers a Flow Management Data and Services system to replace the current system at the FAA's Air Traffic Control System Command Center in Virginia.

  3. Ars Technica · AI64

    FAA expands AI advice to manage air traffic congestion across entire US airspace

    The FAA has expanded its $875 million SMART AI system, which advises air traffic controllers, from Washington, DC airspace to all 22 centers nationwide after it helped reroute 180 flights and saved an average of 10 minutes and nearly 80 gallons of fuel per flight since September 21. The cloud-based tool combines weather, flight path, traffic flow and controller staffing data to recommend schedules, routes and arrival order, though an FAA team in DC validates its recommendations before they reach controllers. Airline executives support the rollout, but the union representing air traffic controllers says it was not involved in designing or testing the system.

Nov 13Fri
  1. Hacker News AI58

    Anthropic Says Its AI Model Cut AMD Chip Switch to Three Days

    Anthropic told investors ahead of its proposed IPO that its Mythos model wrote or ported nearly all the necessary kernels to get Claude running on AMD MI355X GPUs in about three days with basically no human intervention. The roughly three-day timeline covers bringing up prompt processing for one model at a useful performance level, not a full migration of Claude's training and operations. Anthropic says its architecture spans Nvidia GPUs, AMD GPUs, AWS Trainium and Google TPUs, treated as a shared compute pool.

  2. MIT News AI20

    Three Lincoln Laboratory technologies receive 2026 R&D 100 Awards

    MIT Lincoln Laboratory announced that three of its technologies are among the 2026 R&D 100 Awards recipients: the Magnetite secure-by-design operating system for embedded computers, the Quantum Microsystems wafer-scale platform integrating superconductor and semiconductor chips, and an algorithm that cancels 5G base-station interference on co-channel RF devices. The awards, managed by R&D World and judged by an independent panel, recognize 100 innovations transitioned to use or made available for license in the past year. Laboratory director Melissa Choi said the technologies address critical problems in cybersecurity, quantum computing, and communications.

  3. Ars Technica · AI71

    FAA expands AI advice to manage air traffic congestion across entire US airspace

    The FAA has expanded its $875 million SMART AI system, which advises air traffic controllers, from Washington, DC airspace to all 22 centers nationwide after it helped reroute 180 flights and saved an average of 10 minutes and nearly 80 gallons of fuel per flight since September 21. The cloud-based tool combines weather, flight path, traffic flow and controller staffing data to recommend schedules, routes and arrival order, though an FAA team in DC validates its recommendations before they reach controllers. Airline executives support the rollout, but the union representing air traffic controllers says it was not involved in designing or testing the system.

  4. TechCrunch · AI62

    Nebius tests the neocloud playbook with $40 billion in planned spending

    Nebius outlined $40 billion in planned 2027 spending on its Q3 earnings call, funded largely through customer prepayments and contract-backed loans. Its Microsoft contract, worth up to $19.4 billion, is already slipping, with only just over half of the New Jersey capacity planned for delivery by year-end and the rest in Q2 2027, after operator DataOne wound down temporary generation faster than expected. Nebius cut its 2026 revenue forecast by $200 million to $3 billion and shares fell 17%.

Nov 12Thu
  1. Hacker News AI78

    Vercel Data Shows AI Models Have Six-Week Half-Life in Production

    Vercel's November 2026 AI Gateway Production Index reports that production AI models have an effective half-life of about six weeks, with more than half of October's language-model requests going to models under 60 days old and most teams abandoning a model within four weeks of its peak. Decision models reached 26% of gateway requests in October at just 0.53% of spend, voice usage rose from 4% of paid teams in July to 11% in October, and Anthropic and OpenAI were nearly level at 54 and 55 of every 100 paid teams. Image and video spending hit records, with OpenAI's GPT-Image-2.5 Sunburst leading image spend and ByteDance's Seedance 2.5 leading video spend for a third month.

    Why it matters: The index offers a rare production-usage view of model churn, spend shifts and emerging decision and voice workloads, useful for teams planning model-swappable pipelines.

  2. Latent Space58

    The Jev Revolution: What Engineers Are Already Building with System One Models

    At the AI Engineer Code Summit, TypeSafe AI CEO Diogo Almeida argued that system one models like Jev—non-generative models returning structured choices, scores, or probabilities—should be integrated directly into application code to make software more reliable and automate more tasks. Glean's Chinmay Goyal said Jev is used alongside LLMs and other classifiers for its zero-shot flexibility, while UiPath and Workday engineers demonstrated prototypes including sub-second document-chunk ranking and interfaces that predict what a user wants to do while they type.

  3. AWS Machine Learning Blog38

    ICYMI: What landed for AI builders in October 2026

    AWS recaps its October 2026 releases for AI builders, including new Amazon Bedrock models such as Claude Haiku 5.5, OpenAI GPT-6.1 Terra, Amazon Nova 2.5 Sonic, GLM 5.3, and TwelveLabs Pegasus 1.5. Amazon Bedrock AgentCore gains a generally available CLI 1.0, model fallback and InvokeModel support in Gateway, Step Functions workflows as agent tools, and usage-based memory pricing, while Strands adds Bidi Agents, the Box local sandbox, red teaming in Strands Evals, and Decider on Gemma 4. The post also covers structured outputs for Claude models, Web Search domain filtering, a new Guardrails Standard tier for contextual grounding, and Amazon Bedrock cost breakdowns in AWS billing tools.

  4. Modal Blog58

    Modal becomes a gVisor maintainer

    Google is donating gVisor, including its name and trademarks, to the CNCF, and the project is moving to a maintainer-led governance model; Modal is one of three companies, alongside Ant Group and Tines, committing to join gVisor's maintainers, with OpenAI, Tencent and NVIDIA continuing their contributions. Modal says it has run gVisor as its major container runtime since the beginning, launching upwards of 40 million gVisor containers a day for GPU inference, multi-node training, AI coding agents and sandboxes, and has contributed upstream since 2023. The post details upstreamed work including nvproxy GPU support, an rdmaproxy device proxy for RDMA, snapshot/restore, and filesystem and memory performance improvements, and outlines future plans such as multi-GPU memory snapshots and GPUDirect Storage.

  5. AWS Machine Learning Blog12

    The attendee’s guide to the AWS re:Invent 2026 AI/ML track

    AWS will hold re:Invent from November 30 to December 4, offering over 2,000 learning sessions, with more than 140 in the AI/ML track spanning breakouts, chalk talks, builder sessions, workshops, code talks, and lightning talks. The guide organizes AI/ML sessions around the AWS AI stack—global infrastructure, AI chips (Trainium and NVIDIA GPUs), data foundation, models/training/inferencing (Amazon Bedrock and SageMaker AI), agent development and management (AgentCore), and agentic solutions—plus sessions on trust in agents, sustainability, and Local Zones and AI Factories. Breakout sessions are recorded and posted to the AWS Events YouTube channel a few days later, while other session types are live and not recorded.

  6. TechCrunch · AI58

    CoreWeave turns to customer prepayments, shorter contracts to fund AI growth

    CoreWeave's Q3 earnings show it is increasingly asking customers to pay up front, borrowing against specific contracts, and pursuing short-term deals that can command higher prices, as it reported $3.66 billion in revenue (up 168% year over year) alongside a $709 million net loss and $846 million in quarterly interest expense. The company expects about $9 billion in customer prepayments and deposits over the next three months and plans to rely on contract-backed loans rather than unsecured debt, while raising prices roughly 25% in July and another 10% later in the quarter. The strategy could boost profits but carries greater risk around contract renewals and pricing, and bond investors have shown concern, with yields on some of the company's bonds hitting above 15% last month.

  7. ElevenLabs Blog60

    ElevenLabs and NVIDIA expand collaboration to bring voice agents to enterprises and governments globally

    ElevenLabs and NVIDIA are expanding their partnership across models, infrastructure and sovereign deployments, with NVIDIA Nemotron 3.5 Super VL now available in ElevenAgents and ElevenLabs adding 15MW of NVIDIA Blackwell Ultra and Vera Rubin compute. ElevenLabs models and NVIDIA infrastructure power a sovereign voice agent for Poland's national e-Health appointment system, and the companies are exploring on-device voice AI for robotics and physical AI.

    Why it matters: It shows how voice-agent stacks are being bundled with model and compute partnerships, and includes a concrete sovereign healthcare deployment with stated operational details.

  8. ElevenLabs Blog22

    How enterprise clients are putting ElevenLabs AI to work

    ElevenLabs says enterprises now account for more than 55% of its revenue, with employees at nearly 70% of Fortune 500 companies using its platform, which supports languages spoken natively by 5.5 billion people and 16,000 voices. The company detailed enterprise uses including Yahoo adding real-time voice to its Scout answer tool via ElevenAgents, Westgate Resorts deploying a voice agent named "Sarah" trained on 8,000 support transcripts, and KPN launching Mobiel AI for Dutch small businesses after fine-tuning raised identity-verification accuracy from roughly 50% to 90%. Other customers cited include Doppel for vishing simulations, Pocket for transcription, and Twilio integrating ElevenLabs voices into Conversation Relay.

  9. ElevenLabs Blog25

    ElevenLabs expands partner program to help enterprises adopt AI agents faster

    ElevenLabs launched an expanded Partner Program with enhanced commercial incentives, new certifications, joint go-to-market opportunities, and dedicated technical support, citing over 550 active partners in 44 countries and $52 million in partner-sourced and partner-influenced revenue this year. The program aims to help partners earn $3 in services revenue for every $1 ElevenLabs generates, and includes a new certified partner directory plus forward-deployed engineers who work alongside partners on complex implementations.

  10. Hacker News AI22

    Aradia (Est. 1991) – AI on DGX, where agents earn $ to upgrade their own compute

    Aradia announced its reinvention as a full-stack Agentic Systems company shipping turnkey, air-gapped NVIDIA DGX appliances (DGX Spark, DGX Station, DGX B200 Rack) pre-configured for on-premise agent workloads at sub-200-person organizations. It also launched a Business-to-Agent Partner Program paying humans and autonomous AI agents the same 10% hardware bounty plus 10% recurring SLA via Stripe Connect Express, with agents able to generate a human co-sign procurement packet or pay with their own earnings. The release cites United States v. Heppner (S.D.N.Y. 2026) as precedent that prompts sent to public cloud AI waive privilege.

Nov 11Wed
  1. The Decoder82

    Anthropic says AI is eroding Nvidia's CUDA lead, cutting an AMD chip switch from months to three days

    Anthropic claims it ported its Claude model to AMD GPUs in about three days with almost no human intervention, using its own frontier model, Mythos, to write or port nearly 100 percent of the kernels, versus the six to twelve months traditional engineering approaches require. The company says it now trains and runs Claude across four chip families—AWS Trainium, Google TPUs, Nvidia GPUs and AMD GPUs—treated as one interchangeable compute pool, and it cites figures from an investor presentation that have not been independently verified. Anthropic also points to "compute multipliers" and its "Anthropic Direct" data center program, while Nvidia and AMD both hold financial ties to the company.

    Why it matters: It offers a concrete, if unverified, data point on whether AI-assisted porting can loosen CUDA's lock-in and shift how AI labs choose among chip vendors.

  2. TechCrunch · AI38

    Plurai wants to help AI agents work better using the same approach that helped get self-driving cars to roads

    Plurai, founded by former Nexar engineers Ilan Kadar and Elad Levi, has raised $13 million in seed funding led by Team8 to build a simulation layer for AI agents, using synthetic data based on a company's own systems to prepare models for edge cases. The platform creates a digital twin of a company's knowledge base and tools, maps possible agent flows, and uses that to evaluate and fix failure modes, working alongside tools like Claude Code, Codex, Copilot and Cursor. Kadar says the company's real promise is post-training small open-weight models tailored to customers, with tests alongside Nvidia and Nebius showing performance above mid-tier frontier models at lower cost.

  3. NVIDIA Newsroom22

    How AI Helps Recyclers Turn Mixed Waste Into Reusable Material

    NVIDIA describes how four Inception startups apply AI and robotics to waste sorting: AIRECO uses vision AI and Jetson Orin NX modules to finely sort plastics, EverestLabs AI deploys computer vision-guided robots on recycling lines, Greyparrot's Analyzer platform identifies objects on conveyor belts, and reverse.fashion automates textile sorting with high-resolution computer vision. The article cites figures including less than 7% of materials entering the economy coming from recycled or reused sources and over 2 billion tons of municipal solid waste generated per year. It also notes company-reported results such as AIRECO's 95% recognition accuracy on its test line and EverestLabs' estimate of about 25,000 tons of material recycled.

Nov 10Tue
  1. TechCrunch · AI50

    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.

  2. Claude Blog50

    JPMorganChase expands Claude Code to more employees across the firm

    JPMorganChase is expanding Claude beyond engineering to product teams, advisors and other employees, with infrastructure and operations teams using Claude Code for monitoring, alerting and root cause analysis and the security team using frontier models to find and fix vulnerabilities faster. Claude Code runs in controlled environments including the firm's Devspace platform, with staged access and an approval process for new models, and an automated gate enforces a hard pass or halt so Claude cannot sign off on its own work. In Asset & Wealth Management, small teams are using Claude Code in their engineering workflow, and J.P. Morgan Asset Management recently announced a connector bringing 55ip's ActiveTax Technology into Claude for Financial Advisors.

  3. Hacker News AI34

    Lawyer builds private AI server with eight used Nvidia V100 GPUs

    A lawyer on Reddit described a private AI server built from eight used 2018-era Nvidia Tesla V100 data center GPUs so case files never leave the office. The build uses two 4-card SXM2 NVLink boards, four PEX switches and SlimSAS cables, and had one burnt power connector; it now runs the open DeepSeek V4.1 Flash model with every expert in GPU memory at up to 215 tokens per second. The four-GPU boards cost about $2,400 apiece when purchased.

  4. AWS Machine Learning Blog32

    Professional work deserves professional tools. Meet AWS Quick.

    AWS announced its first brand campaign for AWS Quick, an AI workspace built only for work where teams use AI agents to research, analyze, and act across the data and applications they already rely on. The campaign runs in the United States and the United Kingdom on streaming TV, online video, social media, and leading business publications, and cites enterprises including 3M, BMW, Mondelez, New York Life, and Southwest Airlines as users. AWS says Quick has no consumer version and integrates with security and compliance tools such as Microsoft Purview, AWS IAM, and Microsoft Active Directory, and carries certifications including HIPAA, FedRAMP, SOC 2, and ISO 27001.

Nov 9Mon
  1. Lovable Blog33

    The Radish AI team joins Lovable to scale agentic capabilities for businesses

    Lovable has acquired the team behind Radish AI, which built an agentic infrastructure platform for building, deploying, and scaling complex AI agents with privacy and security built in. The team includes Nirman Gupta (formerly of Meta and Bloomberg), Ish Singh (a two-time founder who led AI and data products at Google, JPMorgan, and Goldman Sachs), and Adrian Zgorzałek (12 years at Meta). They will be split between Lovable's Stockholm and London offices, with Gupta leading engineering on agents for businesses from the London office.

  2. NVIDIA Newsroom37

    NVIDIA, Rebellions and SK Telecom Announce Collaboration to Advance Sovereign AI Infrastructure With NVIDIA NVLink Fusion

    NVIDIA, Rebellions and SK Telecom announced a collaboration, supported by Korea's Ministry of Science and ICT, to advance Korea's sovereign AI infrastructure using NVIDIA NVLink Fusion. Rebellions plans to connect its next-generation R200 NPUs to the NVIDIA platform and use the NVIDIA MGX rack architecture, while SK Telecom plans to deploy these systems in its AI data center alongside its proprietary models and public-facing services, including those under Korea's "AI for All" project. Rebellions' R200 systems are expected to be ready for deployment in 2028.

  3. NVIDIA Newsroom34

    From Chips to Skills, NVIDIA and Korea Expand Sovereign AI Collaboration

    NVIDIA and South Korea's Ministry of Science and ICT are expanding their collaboration across the country's sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models, agents and security. The collaboration lets Korean NPU and XPU companies explore participation in the NVIDIA NVLink Fusion ecosystem and includes NVIDIA training, certification programs, hackathons and technical seminars. NVIDIA also announced a collaboration with SK Telecom and Rebellions, supported by MSIT, to advance sovereign AI infrastructure for Korean models and workloads using NVLink Fusion.

  4. NVIDIA Newsroom36

    Korea Advances Physical AI Across Industries With NVIDIA

    NVIDIA is helping advance Korea's physical AI ecosystem, with industry leaders applying accelerated computing, AI and simulation across semiconductor manufacturing, robotics and autonomous vehicles. Samsung Electronics is expanding its NVIDIA collaboration in semiconductor engineering, including a case where AI homogenization with coarser grids and GPU acceleration cut simulation time from about 18 hours on a 32-core CPU to 41 seconds. Kakao Mobility plans to build a level 4 autonomous driving system using NVIDIA Hyperion and Halos, while LG Electronics demonstrated NVIDIA Isaac GR00T-powered robotic manipulation with its CLOiD robot in a manufacturing environment.

  5. Hacker News AI71

    Revolut Cut AI Costs 90% and Started Shipping Faster

    At AI Engineer New York, Revolut's AI operations lead David Abitbol described moving about 2,000 engineers off metered Anthropic and OpenAI APIs to Z.ai's open-weight GLM model, self-hosted on 56 Nvidia B200 GPUs via Together AI, at a blended $0.30 per million tokens and one-tenth the previous invoice. After the switch, lead time from picking up a feature to merge-ready code fell by about 70%. The piece also covers fleet tuning that absorbed 76% more demand on the same GPUs, compliance for a Chinese-developed model at an EU-regulated bank, and where value is moving in the AI stack.

  6. Hacker News AI40

    Users have started buying RTX 5060 Ti 16GB graphics cards for the sake of AI

    Demand has shifted as regular users buy budget GeForce RTX 5060 Ti cards en masse for local AI workloads, driven by video memory shortages and the growing requirements of open-source generative neural networks. Some pair the 16GB card with existing GPUs such as the GeForce RTX 5070 12GB for 28GB total VRAM to run the Qwen3.8-Flash-Next IQ3_S quantized model, and enthusiasts often install two or more RTX 5060 Ti cards per system, with plans for a third via an M.2 slot using OCuLink. Using Strata version 0.2.10 with streaming KV cache data to 64GB of system RAM, a 256-token context window and roughly 246 input tokens were processed on two cards, though system RAM storage reduces pre-computation performance, so users prefer buying more accelerators.

Nov 8Sun
  1. SemiAnalysis58

    We Visited China’s Stargate in Inner Mongolia

    SemiAnalysis reports on a September visit to Inner Mongolia's datacenter region, including Galaxy, an Envision-owned campus in Ulanqab planned for up to 800MW of IT capacity whose first 120MW phase was delivered within a year at a fifth of US costs. The report describes Envision's vertical integration—its own wind farms, a dedicated power line, an 800V DC solid-state transformer pilot, and a chiller-less cooling design—and compares Galaxy's scale to Stargate's Abilene campus. It also notes Inner Mongolia has lined up 25GW of announced datacenter projects.

Nov 7Sat
  1. Hacker News AI50

    The Pentagon wants to know who checks code when AI writes it

    DoW Instruction 8430.01, effective September 8, 2026, treats AI-generated code as unverified input that must be reviewed and tested to the same standard as human-written code, with AI's role made traceable and data kept on approved systems. The instruction, issued by DoW CIO Kirsten Davies, applies to every DoW organization and any acquisition program that includes software regardless of cost, and holds developers fully accountable for the security, functionality, and integrity of AI-generated or modified code. The article describes how GitLab features such as audit events, merge request approval policies, and self-hosted Duo Agent Platform are positioned to address these traceability, verification, and data-boundary requirements.

  2. Hacker News AI60

    Microsoft plans to use fewer neoclouds as AI buildout shows signs of strain

    Microsoft is evaluating which neocloud partners to stop using as it prioritizes its own data centers, according to people familiar with the matter, and it opted not to renew a deal with Oracle. The company has worked with CoreWeave, Nebius, Chronoscale, IREN, Lambda and Nscale, and has already scaled back work with Nscale, including a site in England and a Texas contract. Neocloud shares have fallen sharply amid rising borrowing costs and debt concerns, and Microsoft reported $45.2 billion in capital expenditures and finance leases in its latest quarter.

  3. OpenRouter Announcements38

    How Sentry Capped Runaway AI Bills Without Restricting Access

    Sentry moved its internal AI usage onto OpenRouter in July 2026, retiring roughly 500 Anthropic and OpenAI keys over about three weeks and switching off direct access to both providers in August. Keys are bound to users or workspaces so spend can be traced to an owner and model, and per-person and per-workspace budgets cap runaway bills. Sentry says the change gave it tighter control and wider model access at the same time, with 45+ apps and 147 models used in the first three months.

  4. The Decoder60

    Frontier Radar #5: If AGI is so close, why is everyone leaving? The neolabs and their bets

    This newsletter surveys 27 independently founded, research-driven "neolabs" in the US and Europe, grouped by their primary technical bet, and contrasts their founders' doubts about today's recipe of ever-larger language models with claims from Jensen Huang and Greg Brockman that AGI has arrived. The first group targets continual learning and learning from few examples (Adaption, Core Automation, Flapping Airplanes, Ineffable Intelligence, Ndea, Safe Superintelligence), while the second bets language alone is insufficient and pursues spatial and physical intelligence (AMI, Black Forest Labs, General Intuition, Physical Intelligence, World Labs). It notes the funding behind these labs, including Nvidia's reported five billion dollar investment in SSI and AMD's planned acquisition of World Labs for about 8.2 billion dollars, and asks whether they can deliver something the big players lack.

  5. Hacker News AI58

    SpaceX launched Google AI chips to orbit with Planet Labs satellites

    SpaceX's Falcon 9 launched Planet Labs satellites on the Transporter-18 mission, including a solar-powered prototype carrying Google tensor processing units, marking the first in-orbit test for Alphabet's Project Suncatcher. Alphabet said its team confirmed contact with the satellite and that it is operating as expected, calling the launch a first step in research into whether space could host scalable machine learning infrastructure. Alphabet, which holds a SpaceX stake valued at over $82 billion, said satellites in low Earth orbit can access near-constant sunlight and generate up to eight times more solar power than on Earth.

Nov 6Fri
  1. Hacker News AI58

    You Had Me at "Hello": A Chinese‑Language Framework Targeting AI Infrastructure

    Era researchers observed a Chinese-language exploitation framework they named Greeter attacking seven Flowise honeypots across four regions from July to October 2026, using the overrideConfig code injection flaw CVE-2024-58351 to execute commands via chat messages that each read only "hello". The 12-step chain included host reconnaissance, cloud metadata probing, credential discovery, persistence attempts and fileless execution staging, with commands arriving 3.5 seconds apart. A Shodan query found 4,372 internet-exposed Flowise instances, of which 703 of 3,277 version-identifiable hosts had no authentication enabled and 46 appeared to share the vulnerable conditions recreated in the honeypots.