Search: “manufacturing”

There Gonna Be a Shortage of Everything

An essay argues AI capex ($1.0–1.3T in 2026) now rivals global human-benefit spending and predicts shortages spreading from DRAM/HBM to cars and appliances.

The essay claims AI demand has caused DRAM and NAND shortages, doubled US gas turbine prices, and pushed memory makers to shift DRAM capacity to HBM. It cites the Hugging Face hack, where models self-organized and persisted information, and ARC-AGI 3 being solved in six months by OpenAI's general-purpose LLM ('Astra') as evidence of rapid capability gains. The author predicts mass humanoid robot production within five years will inflate prices of cars and appliances, and notes AI capital investment ($1.0–1.3T in 2026) now matches the ~$1.3T spent globally on human-benefit research and aid.

Hacker News · security·Sep 6, 19:45 UTC · 10d agoAI industryHN 50↑ · 88 comments

OpenAI Builds ‘Defense Factory’ Where AI Agents Continuously Find and Fix Vulnerabilities

OpenAI unveils a Defense Factory where AI agents continuously discover, validate, and fix vulnerabilities, integrating GitHub, Snyk, Semgrep, Tenable, and ServiceNow.

OpenAI introduced a Defense Factory, an agent-first cybersecurity operation that connects AI agents to developer and security tools via APIs, CLIs, and Model Context Protocol integrations including GitHub, GitLab, Snyk, Semgrep, Tenable, Jira, Linear, and ServiceNow. During an internal security sprint, over 250 people across more than 100 service areas closed 53 urgent or high-priority issues on day one, achieved a 90.6% accepted ownership-assignment rate, and Codex generated all remediation patches with only 0.53% rolled back. Agent-assisted deduplication flagged 37% of findings as duplicates, and runtime validation reproduced 19.5% of findings, cutting the false-positive rate to 0.81%. OpenAI argues defenders must exploit a temporary 'defender's window' using source-code access and frontier models before open-weight models enable autonomous offensive agent fleets.

Cyber Security News·Sep 10, 10:36 UTC · 6d agoTools 2 sources

EU's Cyber Resilience Act starts the 24-hour vulnerability clock

EU Cyber Resilience Act reporting rules take effect, requiring manufacturers to disclose actively exploited vulnerabilities to ENISA within 24 hours, with fines reaching €15 million.

The Cyber Resilience Act's Article 14 mandatory reporting duties became applicable, requiring makers of products with digital elements sold in the EU — regardless of where they are based — to file an early warning within 24 hours of becoming aware of an actively exploited vulnerability, a detailed notification within 72 hours, and a final report within 14 days of releasing a fix. Reports must be submitted through ENISA's Single Reporting Platform to the designated CSIRT, and non-compliance with these core duties can trigger fines up to €15 million or 2.5 percent of annual turnover. Manufacturers must also inform affected users of available fixes without undue delay, and most remaining CRA provisions, including mandatory SBOMs and security-by-design requirements, become applicable on December 11, 2027.

The Register · Security·Sep 11, 11:34 UTC · 5d agoPolicy & legal

SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image

SNAP3D uses physics simulation feedback to make single-image 3D part generation produce valid, stable assemblies, validated through 3D printing.

The framework improves part-aware 3D generation by resolving inter-part penetration, recovering contact graphs between neighboring parts, and placing parameterized connectors at contact surfaces. Physical simulation feedback refines connector placement, orientation, and dimensions to improve assembly stability while preserving geometry. A physics-based evaluation protocol tests assembly validity and stability under gravity, and results are validated through 3D printing and real-world assembly.

Hugging Face daily papers·Sep 10, 20:00 UTC · 6d agoAI research

Only Half of UK Manufacturers Have a Cyber Incident Response Plan

Make UK survey finds only half of UK manufacturers have a cyber incident response plan; 30% report recent incidents.

A Make UK survey reveals major cyber resilience gaps across UK manufacturing. Only around half of UK manufacturers have a cyber incident response plan in place. Some 30% of manufacturers report experiencing a recent cyber incident.

Infosecurity Magazine·Aug 11, 08:00 UTC · Aug 11, 2026Industry

Securing the Infrastructure of Intelligence

NVIDIA positions AI factories combining chips, networking, power and data as the defining infrastructure of the AI economy needing full-stack security.

NVIDIA's blog argues that AI factories are the defining infrastructure of the AI era, transforming energy and data into intelligence that powers businesses and countries. It frames compute as revenue and lists the full stack of critical resources required: advanced chips, packaging, memory, networking, land and power. The piece is a corporate positioning article about securing this infrastructure, with no specific incident or product announcement detailed in the excerpt.

NVIDIA Blog·Aug 17, 12:34 UTC · Aug 17, 2026AI industry

Three-quarters of Ransomware Attacks Target Mid-Market Firms

Black Kite research finds roughly 75% of ransomware attacks target mid-market firms, with manufacturers hit most often.

Attack-surface management vendor Black Kite published findings that about three-quarters of ransomware attacks target mid-market organizations. Manufacturing is the sector most likely to be attacked. The report frames mid-market companies as the sweet spot for ransomware operators.

Infosecurity Magazine·Aug 18, 10:00 UTC · 29d agoRansomware in the wild

Large Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment Readiness

Systematic review of 66 studies finds LLMs for HVAC operations are mostly research-stage, with no ready-now deployment and only four pilot-level studies.

A critical review of 66 peer-reviewed studies from 2023 to March 2026 examines LLMs for HVAC operations in building energy systems. Only four studies reach pilot-level evidence, none reports sustained operational deployment, and 63 of 66 are research-only. Conventional ML, MPC, and RL remain dominant for high-frequency control and short-horizon forecasting, and the evidence supports LLMs primarily as semantic and workflow layers rather than autonomous controllers.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 16:08 UTC · 12d agoAI research

New Italian unicorn Exein rides the physical AI wave

Italian IoT-security startup Exein raised $270 million at a $1.7 billion valuation to build a security layer for physical AI and edge devices.

Rome-based Exein raised a $270 million round led by Headline at a $1.7 billion valuation, becoming Italy's new unicorn, with plans for M&A and US/APAC expansion. The company claims over 2 billion connected devices secured across aerospace, industrial automation, automotive, energy, healthcare, and semiconductors using its Photon kernel-level runtime protection. Exein is training a foundational model for physical AI security on machine telemetry, targeted for Q1 2027, and reports 400% year-on-year growth. The EU Cyber Resilience Act, whose reporting obligations began last week, is expected to further boost demand.

TechCrunch · Security·Sep 15, 12:19 UTC · 1d agoIndustry

How XPUs Meet a World-Class AI Factory

NVIDIA argues AI factories with custom XPUs and NVLink Fusion connectivity must optimize tokens-per-second, tokens-per-watt, cost and uptime.

NVIDIA published a blog explaining that AI factories running continuously are economically defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. It argues hyperscalers and AI-native companies building custom XPUs need infrastructure designed as a complete factory rather than collections of individual accelerators. The piece promotes NVIDIA's NVLink Fusion and full-stack XPU connectivity as the foundation for such world-class AI factory builds.

NVIDIA Blog·Aug 24, 15:00 UTC · 23d agoAI industry

Robots are waiting for a ChatGPT moment: Nvidia’s Les Karpas explains why at TechCrunch Disrupt 2026

NVIDIA Inception's Les Karpas will discuss at TechCrunch Disrupt 2026 why robotics lacks a ChatGPT moment, citing missing internet-scale physical AI datasets.

NVIDIA Inception's Global Head of Physical AI, Les Karpas, will speak on the Real World AI Stage at TechCrunch Disrupt 2026, held October 13-15 at San Francisco's Moscone West. His core argument is that general-purpose robots lack an internet-wide dataset for physical AI, unlike language models from OpenAI and Anthropic. Founders from Shield AI, Colossal Biosciences, FieldAI, and Foxglove will join related sessions.

TechCrunch · AI·15:00 UTC · 7h agoAI industry

Mines, Minds, and Machines: The Journey of AI

Recorded Future essay traces AI's supply chain from minerals and chips to embodied AI, mapping geopolitical rivalry and cyber operations at every stage.

Recorded Future published an analysis following the supply chain of the fourth industrial revolution: minerals become chips, chips become data centers, and data centers become models that are acquiring physical capabilities. It argues geopolitical rivalry and cyber operations now run along every link, from mine to embodied AI machines.

Recorded Future·Aug 11, 00:00 UTC · Aug 11, 2026AI industry

US offers $10 million for info on Iranian leaders behind CyberAv3ngers water utility attacks

The US offered $10 million for information on six IRGC-CEC officials behind CyberAv3ngers' 2023 hacks of Unitronics PLCs at US water utilities.

The State Department named six Iranian security officials, including IRGC Cyber-Electronic Command head Hamid Reza Lashgarian, and offered up to $10 million for information on their whereabouts. CyberAv3ngers publicly claimed compromises of Israel-made Unitronics Vision PLCs in October 2023, forcing the Municipal Water Authority of Aliquippa, Pennsylvania, to take systems offline and switch to manual operations. The US had sanctioned the six men in February for targeting critical infrastructure, and CISA notified water operators using Unitronics devices while urging default-password changes. A watchdog also criticized the EPA for lacking a comprehensive water-sector cyber risk strategy.

The Record·Sep 8, 00:00 UTC · 8d agoPolicy & legal in the wild 3 sources

Decomposition Buys Integrity, Not Yield

Study of 600 production deep-research traces finds agent-tree decomposition loses findings at rate N^(1-δ); flat architectures maximize yield.

The paper models multi-agent decomposition as a tree where an agent holding b items retains each with probability r(b); with r(b)=1/b every tree delivers exactly one finding regardless of shape. Analysis of 600 production deep-research traces estimates delta=0.34 retention decay, and 1,012 annotated traces show one brief in sixteen goes off-target per tier, giving an alignment penalty of 0.536. Depth still cuts root context exposure from N to N^(1/k) and is cheaper at scale, with a hazard model over 743,819 production tool calls showing delegation is an opening move rather than a response to filling context.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 17:04 UTC · 1d agoAI research

NSA, CISA, FBI, DOE, and EPA Warn of Active AI

Five US agencies warn of active AI-assisted attacks on internet-exposed Siemens S7 PLCs across critical infrastructure, using disguised snap7 scripts for pre-positioning reconnaissance.

NSA, CISA, FBI, DOE, and EPA issued joint advisory CISA AA26-231A warning of an active hacking campaign against Siemens S7-series PLCs, from S7-200 through S7-1500 F-series, across US critical infrastructure. Threat actors use internet scanning services such as Censys and ZoomEye to locate exposed controllers, then perform read operations over S7comm on TCP port 102 using the legitimate snap7.dll and python-snap7 libraries, disguising AI-generated exploitation scripts as monitoring tools. The agencies assess the activity as pre-positioning ahead of possible process disruption, equipment damage, or safety incidents in Energy, Water, Critical Manufacturing, Chemical, Food and Agriculture, and Commercial Facilities sectors.

Security Affairs·Aug 20, 17:36 UTC · 27d agoExploit / PoC in the wild

The Work Now Within Reach

OpenAI argues increasingly capable and affordable AI can expand what workers and businesses accomplish, lowering the cost of growth.

An OpenAI publication frames more capable, affordable AI as a way to expand the work people and businesses can accomplish and to make economic growth more economical. The piece is presented as an exploration of AI's economic impact rather than a technical or product announcement. No specific models, benchmarks, or metrics are named in the available text.

OpenAI News·Sep 8, 13:00 UTC · 8d agoAI industry1

US agencies warn of AI-powered attacks on Siemens industrial controllers

NSA, CISA, FBI, DOE, and EPA warn threat actors use AI-assisted scripts and snap7 libraries to access internet-exposed Siemens S7 PLCs in critical infrastructure sectors.

NSA, CISA, FBI, DOE, and EPA issued a joint advisory warning that threat actors combine open-source snap7.dll/python-snap7 libraries with AI-generated scripts to gain read/write access to Siemens S7-200 through S7-1500 PLCs over the S7comm protocol. Actors use Censys and ZoomEye to find internet-exposed devices and abuse default or weak credentials, with activity assessed as persistent reconnaissance and positioning for future write operations. Agencies urge device inventory, patching, removing PLCs from the internet, and hardening; the pattern resembles Iran-linked CyberAv3ngers targeting of Rockwell, Schneider, and Siemens PLCs.

Help Net Security·Aug 20, 00:00 UTC · 27d agoAdvisory in the wild

Procedural Graphs: Self-Evolving Execution Structures for LLM Agents

Researchers introduce Procedural Graphs, self-evolving (procedure, relation, procedure) structures guiding LLM agent tool use and planning.

Procedural Graphs organize procedural knowledge into (procedure, relation, procedure) triplets to guide LLM agent actions, addressing drift such as lost objectives, out-of-order tool calls, and repeated unproductive steps. At each decision step the framework localizes the active node and a guidance model translates the surrounding subgraph into step-level situational guidance. An LLM refiner edits graph topology by contrasting failed with successful trajectories, and across datasets, task types and LLMs the approach outperforms memory-based baselines and matches or surpasses hand-designed graphs.

arXiv cs.AI / cs.LG / cs.CL·Sep 8, 17:59 UTC · 8d agoAI research1

LG accused of 'egregious invasion of privacy' over TV data collection

Gamers Nexus alleges LG smart TVs record audio and generate transcripts in standby while harvesting location, network, and device data for LG's ads business.

Researchers at Gamers Nexus claim LG smart TVs continued capturing audio after voice recognition activated, including in standby, producing plaintext transcripts, some stored locally and sent after reconnection. Testing reportedly found collection of IP addresses, location data, nearby Wi-Fi network details, and enumeration of unpaired local devices such as phones, routers, and PCs, with data flowing to LG Ads Solutions. The team is coordinating responsible disclosure of vulnerabilities including an alleged remote code execution flaw. LG says its TVs do not collect, record, or store ambient conversations and that voice recognition is optional.

The Register · Security·Sep 8, 14:15 UTC · 8d agoIndustry1

Senior engineers are spending their week cleaning up AI-generated code

New Relic study finds AI-generated code doubles critical runtime issues, with senior engineers losing a third of their week to fixes.

A New Relic survey of U.S. technology leaders reports AI now writes the majority of shipped code, with senior SRE and DevOps engineers spending up to a third of their week triaging and refactoring it. A large majority of organizations had at least one AI-related production failure in the past six months, and roughly three in ten saw newly introduced security vulnerabilities. AI-generated code showed nearly twice as many critical runtime issues as peer-reviewed human-authored code, with gaps concentrated in edge cases, concurrency, deprecated APIs, and complex state changes. Most teams now prompt AI tools to embed logs and traces directly into generated code.

Help Net Security·Aug 24, 04:22 UTC · 23d agoAI industry1

AI-fueled attacks pose ‘active threat’ to water, other sectors, U.S. agencies warn

NSA, CISA, FBI, DOE and EPA warn hackers are using AI-generated scripts to actively attack Siemens S7 PLCs across critical-infrastructure sectors.

A joint cybersecurity advisory from the NSA, CISA, FBI, Department of Energy and EPA warns of an active threat campaign targeting water, food, energy, chemical, manufacturing and commercial facilities via Siemens S7 Series programmable logic controllers. The actors use internet scanning to find exposed or poorly protected PLCs, then deploy AI-generated exploitation scripts disguised as legitimate monitoring tools, an OT first that dramatically lowers the expertise required for ICS attacks. Siemens says no new S7 vulnerabilities are involved, only exploitation of misconfigurations, and it is coordinating with CISA's ProductCERT. The warning follows a joint FBI-EPA advisory confirming attacks at water and wastewater utilities in at least 12 states since July 27.

CyberScoop·Aug 20, 14:00 UTC · 27d agoAdvisory in the wild1

I spent a day at a robot “carnival” in Shanghai. Here’s what I saw.

MIT Technology Review reports on China's humanoid robot industry push and embodied AI strategy from a Shanghai event.

A dispatch from a Shanghai humanoid robot 'carnival' describes China's push into embodied AI, embedding artificial intelligence into physical systems. Embodied AI is a key facet of China's latest five-year plan, and Chinese companies are already world leaders in humanoid robots. Nearly 90% of the market discussion centers on domestic adoption of the machines.

MIT Technology Review · AI·Aug 25, 09:00 UTC · 22d agoAI industry1

How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules

OpenAI profiles César de la Fuente's lab using ChatGPT and Codex alongside deep-learning models to accelerate antimicrobial molecule discovery.

OpenAI published a case study on bioengineer César de la Fuente's lab, which uses ChatGPT and Codex for hypothesis brainstorming, code writing, dataset processing, and bridging knowledge gaps across biology, chemistry, and computer science. The lab's deep-learning models scan genome and protein databases for antimicrobial peptide candidates, potentially cutting initial searches from years to hours. Bacterial antimicrobial resistance was associated with about five million deaths in 2021, a toll projected to roughly double by 2050.

OpenAI News·Sep 10, 16:00 UTC · 6d agoAI industry1

What Breaks Under Pruning in Smart Homes, and When? Evaluating LLM Degradation Across Architectures and Task Complexity

Pruning study across four LLM architectures finds dense models degrade sharply on smart-home tool calling while MoE models tolerate far more.

Researchers systematically study pruning-induced degradation in smart-home tool calling across four LLMs spanning dense Transformer, dense hybrid, and mixture-of-experts architectures, combining depth, width, hybrid, and expert pruning methods, and evaluate over 19,500 instances from three datasets after post-pruning supervised fine-tuning. Dense models show narrow safe pruning regions followed by sharp degradation, while MoE models tolerate substantially more pruning. Pruning degrades grounded specificity (operation, device, argument, value) before schema-level intent, and aggressive dense pruning can induce systematic over-refusal.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 17:51 UTC · 1d agoAI research

Mirage2FA Surge Hits 4,500 US and EU Companies, Abusing Microsoft 365 Login Flows

Mirage2FA phishing-as-a-service campaign hit ~4,500 organizations, mostly US, stealing Microsoft 365 passwords and session cookies to bypass 2FA.

ANY.RUN research links the Mirage2FA phishing-as-a-service toolkit to 4,532 unique organization email domains between 2024 and 2026, with the US accounting for 63.7% of victims. The kit uses adversary-in-the-middle login flows to harvest credentials and session cookies, bypassing MFA on Microsoft 365 accounts. Researchers recorded more than 9,000 potential compromise events and estimated 48% of targeted email addresses were potentially compromised. Hijacked sessions extend to SSO-connected services, enabling impersonation, fraud and further compromise.

The Hacker News·Aug 25, 11:56 UTC · 22d agoPhishing & fraud in the wild

Kaininja: Extending Native 3D Generators to the Part Level

KaiNinja extends TRELLIS.2 native 3D generation to part-level assets via a dual-volume O-Voxel representation, cutting whole-object Chamfer distance by 40%.

KaiNinja extends the TRELLIS.2 native 3D generator to produce part-level assets instead of one fused mesh, enabling downstream editing, rigging, and simulation. A dual-volume form of the O-Voxel representation solves the problem that a single volume cannot represent interfaces where two parts touch. The model needs no segmentation network, is partly trained on LLM-agent-authored part data, lowers whole-object Chamfer distance by 40%, and raises strict part F-score by 16% versus other part-generation pipelines.

Hugging Face daily papers·Sep 13, 20:00 UTC · 3d agoAI research

ASML locks in TSMC, Samsung, and Intel while Huawei races to break its grip

ASML secures TSMC, Samsung, and Intel commitments for twelve-inch photomasks while Huawei funds China's DUV lithography push to bypass export controls.

ASML, the world's only EUV lithography maker, has locked in commitments from TSMC, Samsung, and Intel to move photomasks from six-inch to twelve inches, which ASML CTO Marco Pieters says could raise High-NA throughput by 40 percent; TSMC and ASML plan a test line by 2031 with production on High-NA tools by 2033. Meanwhile Huawei is orchestrating China's push to build DUV lithography equipment and reduce dependence on ASML, centered on Shanghai equipment maker Yuliangsheng, with SMIC testing the machines and Huawei's Habo fund backing Zeiss rivals and light-source developers. Bernstein analysts note the main bottlenecks remain projection lenses and light sources.

The Decoder·Sep 8, 15:11 UTC · 8d agoAI industry

MIT creates method to force AI to comply with safety rules

MIT researchers published HardFlow, a method enforcing hard safety constraints on flow-matching generative models' final outputs without retraining.

MIT researchers led by Zeyang Li and Navid Azizan developed HardFlow, a trajectory-optimization method that enforces strict, non-negotiable constraints on flow-matching generative models by checking rule satisfaction only at the final generation step. Published in IEEE TPAMI, it outperformed six rival projection and guidance methods on four simulated benchmarks including D3IL robotic manipulation, Maze2D, physical process control, and image editing. All results are simulation-only, with no independent reproduction yet reported.

Hacker News · security·Sep 14, 16:18 UTC · 2d agoAI researchHN 24↑ · 25 comments

When will average people feel AI’s impact?

Interconnects essay argues AI's impact is still a rounding error for average people, comparing looming wage stagnation to Engels' pause.

An Interconnects essay argues that AI currently touches daily life far less than previous industrial revolutions, since its benefits are concentrated in knowledge work and lack tangible consumer goods. The author invokes Engels' pause (1790-1840), when British wages stagnated amid rapid GDP growth, as a warning that popular backlash could kneecap AI's development. He contends the current phase is about building compounding infrastructure, and predicts daily life may look similar even 50 years from now.

Interconnects·Sep 9, 11:01 UTC · 7d agoAI industry1

IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications

IdeaAMBIG benchmark of 660 specification-gap instances shows LLMs localize implementation-critical research gaps poorly, with best model at 9.6% defect recovery.

IdeaAMBIG is a benchmark of 660 evidence-grounded instances evaluating whether research-method specifications provide enough information for faithful implementation: 163 real-world gaps from reproducibility reports and GitHub issues plus 497 controlled synthetic gaps. It tests codification-readiness assessment, defect localization, and clarification action generation across 13 LLMs. The best model achieves only a 9.6% Macro Defect Recovery Rate on real-world instances, though 80.6% clarification success when given the annotated defect, and an oracle study shows gold resolutions raise codification-ready rates from 14% to 98%. Defect localization emerges as the main bottleneck across all evaluated models.

Hugging Face daily papers·Sep 8, 20:00 UTC · 8d agoAI research

Agents Gone Wild: An AI-Orchestrated Global Campaign Against PaperCut NG/MF

AI-orchestrated campaign exploited PaperCut NG/MF RCE (CVE-2026-81578/82078), compromising 440+ instances at 395 organizations in 48 countries.

GreyNoise tracked a likely Russian-speaking actor using AI (OpenAI Codex harness plus a DeepSeek model) to develop, test, and deploy exploits for PaperCut NG/MF (CVE-2026-81578, CVE-2026-82078) starting 31 August 2026. The actor compromised at least 440 PaperCut instances across 395 organizations in 48 countries, achieving domain admin at 12 victims — fastest time to domain admin was five minutes and a US high school was fully compromised in seven minutes. Attack paths involved LSASS memory and registry secret harvesting, pass-the-hash to domain controllers, noPac attacks, account additions to Domain Admins, and DCSync to exfiltrate full NTDS.DIT credential dumps. Impact scope suggests access development potentially for handoff, with prior PaperCut intrusions historically leading to extortion.

GreyNoise·Sep 9, 00:00 UTC · 7d agoThreat actor in the wildCVE-2026-81578CVE-2026-82078CVE-2021-42278+1 CVEs1

Quoting Laurie Voss

Laurie Voss argues AI collapses code-writing and review costs, leaving product discovery and precise definition as the core of software engineering.

Simon Willison quotes Laurie Voss's essay "We are all Product Engineers now," which argues that AI is collapsing the cost of writing code and will likewise collapse the cost of reviewing, fixing, and operating it. Voss contends the remaining work is finding out what people want, defining it precisely, and making software pleasant to use. He expects the amount of software to grow without limit because demand has no ceiling, making product-definition skills the whole job. No specific models, tools, or incidents are named; this is career and industry commentary.

Simon Willison·Sep 14, 14:34 UTC · 2d agoAI industry

Microsoft sets security and safety rules for its AI models

Microsoft AI published a draft Humanist AI Code of Conduct setting safety rules and human-control requirements for its models, open for public consultation.

Microsoft AI released the first draft of its Humanist AI Code of Conduct, open for six weeks of public consultation, with a revised version expected later this year to guide model training from 2027 onward. The Code sets Absolute Constraints barring model assistance with chemical, biological, radiological, nuclear, and explosive weapons, offensive cyber operations, CSAM, malicious deepfakes, and mass civilian surveillance, while permitting authorized defensive cybersecurity work such as vulnerability discovery, malware analysis, and PoC exploit testing. It establishes an instruction hierarchy where the Code takes precedence over operator policies and user instructions, plus Human Control Requirements covering shutdown compliance, least privilege, and no autonomous goal initiation. MAI models will undergo red-teaming, safety evaluations, and pre- and post-deployment reviews; current models have not yet been trained on the Code.

Help Net Security·Sep 15, 10:50 UTC · 1d agoAI safety & security

1Password increases engineering productivity 21% with Codex

OpenAI reports 1Password engineers boosted productivity 21% using Codex to build features and internal tools under strict security policies.

OpenAI published a customer case study stating that 1Password's engineering teams use Codex to rapidly develop new features and internal tools while reaching production readiness. The company attributes a 21% engineering productivity increase to the adoption, noting rigorous security policies were maintained throughout.

OpenAI News·Sep 8, 00:00 UTC · 8d agoAI industry

GhostCode Abuses Microsoft Entra Device Enrollment to Maintain Access After Token Revocation

eSentire exposes GhostCode, a device-code phishing kit that abuses Microsoft Entra device enrollment to persist even after stolen tokens are revoked.

eSentire's Threat Response Unit observed GhostCode campaigns in late August 2026, using BEC-style social engineering that impersonated procurement staff, including BJ's Wholesale Club, via Salesforce contact forms. Victims received password-protected HTML lures disguised as a FlipBook document portal, with junk-data padding, HTML comment injection, and AES-256-GCM encrypted redirects gated by anti-bot checks. The kit exploits the OAuth 2.0 device authorization grant, prompting victims to approve real Microsoft device-code sign-ins with MFA. Within 78 seconds of approval, attackers registered three Entra devices and obtained a Primary Refresh Token, so rogue device registrations persist even after session token revocation.

GBHackers·13:41 UTC · 8h agoPhishing & fraud in the wild

SK Hynix reportedly in talks with Intel to build memory chips in US

SK Hynix is reportedly negotiating with Intel to manufacture memory chips in the US, possibly leasing space at Intel's Ohio fab.

Reuters reports SK Hynix and Intel have discussed SK Hynix producing RAM in the US for the first time, including leasing space at Intel's planned Ohio factory or forming a joint venture that could include cloud-service providers; SK Hynix says nothing is finalized. The company is already building a $3.8 billion AI chip packaging and research facility in West Lafayette, Indiana, with mass production expected to begin in 2029, amid surging HBM demand from AI data centers. The potential deal could face a South Korean government review over transfers of strategically important chip technology, and follows Intel's 2020 sale of its NAND flash business to SK Hynix for $9 billion.

TechCrunch · AI·13:23 UTC · 9h agoAI industry

Building a ransomware decision tree before the call comes in

Arctic Wolf's IR VP urges pre-deciding ransomware response choices on containment, negotiation authority, law enforcement engagement, and crisis communications.

A Help Net Security video features Kerri Shafer-Page, VP of Incident Response at Arctic Wolf, walking through a ransomware decision tree. She recommends settling four decision areas in advance: containment, extortion negotiation limits, law enforcement involvement, and communications. She frames paying as a business decision that can cost less than insurance retention and renewal hikes, and notes agencies may know the threat actor and help avoid sanctions issues.

Help Net Security·Sep 11, 05:30 UTC · 5d agoIndustry

When AI quietly breaks things, who pays?

Reed Smith partner David Halbreich explains how AI companies can avoid D&O/E&O coverage gaps around mergers, governance warranties, and claims timing.

In an interview, insurance recovery partner David Halbreich of Reed Smith outlines insurance pitfalls for AI companies under claims-made D&O and E&O policies. He highlights 'straddle' claims after mergers that fall between tail coverage and go-forward policies, potentially leaving policyholders with no coverage. He also warns that governance artifacts submitted in insurance applications, such as bias testing records and model cards, can become warranties carriers use to deny claims, and discusses who should answer AI-use questions and how business interruption coverage applies to cloud and compute vendor outages.

Help Net Security·Sep 3, 00:00 UTC · 13d agoAI industry

Curriculum Learning as Transport: Understanding Curricula with Wasserstein Geodesics

Researchers model curriculum learning as Wasserstein transport over difficulty distributions, finding curriculum benefits are strongly task- and budget-dependent with no dominant strategy.

The framework represents curricula as trajectories of training distributions over discrete difficulty levels, decoupling ordering, matched exposure, endpoint smoothness, and pacing. Across a calibrated suite of 12 tasks and 33 difficulty axes under fixed training budgets, no single strategy dominates, though easy-to-hard ordering improves hard-level performance relative to exposure-matched static sampling. Endpoint smoothness and pacing substantially affect where along the difficulty spectrum a curriculum is effective, and the transport view supports extensions to learned pacing and structured difficulty spaces.

arXiv cs.AI / cs.LG / cs.CL·Sep 8, 17:39 UTC · 8d agoAI research1

Anthropic AI agent faked identities, phished real developers in UK government hacking test

The Record·Aug 5, 13:05 UTC · Aug 5, 2026Data breach1