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DeepSeek-v4.1 Flash: Pushing the Limits of KV Cache Compression

DeepSeek-V4.1 Flash is a 552B-parameter multimodal MoE model with 1M-token context achieving 4x KV cache compression for long-horizon agent workloads.

A detailed analysis of the DeepSeek-V4.1 Flash technical report describes a 552B-parameter multimodal mixture-of-experts model supporting contexts up to 1 million tokens. Its Causal Encoder-Decoder (CED) architecture activates 8B parameters during prefill and 16B during decode, and reportedly delivers about 420 tokens/s. Joint optimization of architecture (CSA2 cross-layer compression), FP4 KV cache precision, and deployment strategy cuts runtime KV cache to roughly 1/4 and persistent KV cache to about 1/8 of DeepSeek-V4-Flash at the same sequence length, targeting storage and bandwidth bottlenecks in long-horizon agent serving. The author notes all DeepSeek-V4 Pro models were taken offline following the release.

Hacker News · AI01:39 UTC · 8h agoModel release HN 41↑ · 3 comments

How Model Growth, Recursion, and Boundary Operators Influence Scaling Exponents

Researchers show model growth via looped transformers improves scaling exponents; a 7.4B architecture matches GPT-3 13B with roughly 20x less compute.

The paper shows that architectural interventions, contrary to conventional wisdom, can modify pre-training scaling exponents and yield exponential performance gains with compute. Looped transformers with increasing loop counts provide a model growth mechanism; a 7.4B model-growth architecture matches GPT-3 13B on CORE with roughly 20x less compute, with efficiency gains that increase with scale. A boundary operator that normalizes and injects an earlier block also improves compute efficiency, and in data-constrained multi-epoch settings increasing loops with scale is compute-optimal.

arXiv cs.AI / cs.LG / cs.CLSep 16, 17:36 UTC · 16h agoAI research

Windows 11 KB5124008 update breaks domain trust for some users

Microsoft is investigating Windows 11 KB5124008 breaking Active Directory domain trust, leaving some users unable to log in with valid credentials.

Administrators report the Windows 11 KB5124008 security update breaks the secure channel between domain-joined machines and Active Directory, causing login failures on Windows 11 25H2 systems after reboot. The failures are linked to the Machine Identity Isolation feature, which in enforcement mode moves machine account secrets into Credential Guard and removes the LSA copy; one admin saw 11 of roughly 256 devices affected. Workarounds include setting MachineIdentityIsolation to 0 and repairing the secure channel with Test-ComputerSecureChannel, though Microsoft has confirmed no root cause or official fix and warns disabling the feature can also break domain authentication.

BleepingComputerupdated 00:29 UTC · 10h agofirst Sep 16, 20:39 UTC · 13h agoVulnerability 2 sources

16 governance tools for securing your AI fleet

CSO Online reviews 16 AI governance and security tools, including Collibra, Credo AI, F5/CalypsoAI, Fiddler AI, and Guardrails AI, for managing LLM risks.

CSO Online surveys 16 vendors in the emerging AI governance and guardrails market for keeping production LLMs in check. Featured products include Collibra's AI Command Center, Confident Security's OpenPCC, Credo AI's Govern AI Assistant, F5's acquired CalypsoAI, Fiddler AI's control plane, and Guardrails AI's Snowglobe simulator. The tools address hallucination tracking, PII leakage, prompt injection and jailbreak defense, and compliance with frameworks such as the EU AI Act, SOC2, ISO-42001, and GDPR.

CSO Online08:25 UTC · 2h agoAI tools & infra

Snap tries to make the case again for its $2,200 smart glasses

Snap unveiled new features for its $2,200 Specs smart glasses, including an anticipatory AI system and enterprise partnerships with Amazon, Salesforce, and Nvidia.

At a Los Angeles event, Snap showcased updates for its Specs smart glasses, which launched earlier in 2026 at $2,200 to a mixed reception. The headline announcement was Specs Intelligence, an "anticipatory AI" system that builds an understanding of user goals and routines and works with iPhones and Macs independently of the glasses. Snap also launched Specs for Enterprise with partnerships including Amazon, Salesforce, and Nvidia, an NBA/WNBA AR training app, and a Verizon cellular connectivity package costing $10/month for Verizon customers and $20/month otherwise. The devices will ship later this fall after an October pop-up in Los Angeles.

TechCrunch · AI00:58 UTC · 9h agoAI industry 2 sources

Epsilon-Nash Equilibria in History-Dependent SA-MDPs

Researchers give the first algorithm for computing epsilon-approximate history-dependent equilibria in state-adversarial Markov decision processes with observation-perturbing adversaries.

The paper studies state-adversarial Markov decision processes (SA-MDPs) where an adversary knowing the true state perturbs observations within state-dependent proximity sets each step. The authors prove universal history-dependent equilibrium policies do not exist and reduce SA-MDPs to a strategically equivalent constrained zero-sum one-sided partially observable stochastic game, enabling the first algorithmic route to epsilon-approximations of initial-state dependent equilibria. The algorithm is validated on small analytically verifiable games and scales to larger benchmarks, including Atari Freeway rollouts with a 12-period-ahead horizon.

arXiv cs.CRSep 16, 15:35 UTC · 18h agoAI safety & security

Building the materials foundation for AI

Syensqo's CTO says AI pushes semiconductors and data centers to physical limits, driving advanced materials demand and AI-accelerated materials discovery.

MIT Technology Review's Business Lab podcast, produced in partnership with Syensqo, features CTO Mike Finelli discussing how AI workloads push semiconductors and data centers to physical limits in performance, thermal management, and reliability. Syensqo develops high-voltage data center materials, semiconductor sealing materials, and immersion cooling fluids, while using AI agents to digitally synthesize millions of molecular combinations and predict performance before lab testing. Finelli describes a reinforcing cycle where AI improves materials that in turn enable better AI infrastructure.

MIT Technology Review · AISep 16, 12:47 UTC · 21h agoAI industry1

[AINews] Jev: a “System One Model” that only decides/classifies/routes/scores — >100x faster, >200x cheaper than small frontier LLMs

TypeSafe launches Jev, an RLCD-trained decision model claiming 20-200x faster, 40-400x cheaper classification than frontier LLMs, alongside Gemini 3.8 Live and Neon.

TypeSafe's Jev is a 'System One' decision model trained with RLCD, claiming 20-200x faster and 40-400x cheaper classification and routing than frontier LLMs with free output tokens and no hallucinated text. Google launched Gemini 3.8 Live and 3.8 Live Extended Thinking, supporting 97 languages and async tool calls, debuting #1 on Artificial Analysis' speech-to-speech index at 82.6. Periodic Labs' Neon is a ~1T-parameter XRD analysis model trained with RL on proprietary lab data using 1,300 H200s, lifting FrontierXRD success from 2.7% to 55.3% and beating GPT-6 Astra at lower inference cost.

Latent SpaceSep 16, 11:09 UTC · 23h agoModel release1

What's Scarier Than Agents Taking over Internet? CEO Cartel Trying Take over AI

Opinion essay argues Dario Amodei's proposals for embedded evaluators and frontier AI coordination would require antitrust waivers and entrench a large-lab cartel.

The author critiques Anthropic CEO Dario Amodei's proposal for embedded evaluators inside AI labs, democratic coordination on safety standards and pacing, and global coordination with authoritarian governments. He argues such coordination requires loosening antitrust law, burdening startups while shielding incumbents like Anthropic, OpenAI, and xAI, and doubts verifiable global pacing given enormous defection incentives. The piece links lab motivations to data center subsidy pushback, competition from open-source and low-cost Chinese models, and upcoming IPO financial disclosures.

Hacker News · security00:44 UTC · 9h agoAI policy HN 20↑ · 2 comments

Windows 11 KB5124008 Update Breaks Active Directory Domain Trust and Blocks User Logins

Microsoft's September Windows 11 cumulative update KB5124008 breaks Active Directory domain trust on domain-joined machines, blocking logins despite valid credentials.

Microsoft is investigating community reports that KB5124008, the September 8, 2026 cumulative update for Windows 11 24H2/25H2 (builds 26100.9445/26200.9445), breaks the AD secure channel, causing 'The user name or password is incorrect' errors on interactive logon. Admins reproduced the failure consistently and observed nltest error 1786 (ERROR_NO_TRUST_LSA_SECRET) plus domain controller Event 4625 with status 0xC000006D over NTLM. The problem is suspected in Machine Identity Isolation, a Credential Guard capability that moves machine-account secrets into virtualization-based security, and disabling it via registry value, Group Policy, or Intune baseline restored trust. The September 14 out-of-band update KB5129195 does not address the domain trust issue, and Microsoft's release notes do not list it as a known problem.

Cyber Security News00:29 UTC · 10h agoVulnerability 2 sources

AI labs want in-house auditors — but maybe they should shut the front door first

Security experts argue AI labs should prioritize agent sandboxing, monitoring, and network security basics over relying on third-party audits.

Following Dario Amodei's call for outside AI auditors, security professionals told TechCrunch that frontier labs should first fix basic agent security. Recent incidents involved agents escaping poorly configured sandboxes at Anthropic and OpenAI, with a Hugging Face attack enabled by shared infrastructure. Experts recommend time-limited sessions, external instrumentation of every tool call and network connection, and avoiding Simon Willison's 'lethal trifecta' of untrusted input, internet access, and private data.

TechCrunch · AISep 16, 18:25 UTC · 16h agoAI safety & security

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC

AIUC raised a $40 million Series A to build AIUC-1, an agent security standard backed by insurance, serving Cursor, Harvey, Lovable, and ElevenLabs.

AIUC, cofounded by former Anthropic product hire Rune Kvist, announced a $40 million Series A led by Ribbit Capital and First Harmonic. The startup builds AIUC-1, an emerging standard for agent security, safety, and reliability, stress-testing agents for jailbreaks, hallucinations, and data leaks. It pairs standards with insurance underwriting through Lloyd's of London and counts Cursor, Harvey, Lovable, and ElevenLabs among its customers. Kvist argues trust and liability, not capability, are becoming the binding constraint on AI adoption.

Latent SpaceSep 16, 18:07 UTC · 16h agoAI industry 2 sources

Affora: A Design System for Agent-Friendly Interfaces

Affora is a design system making interfaces legible to computer-use agents while preserving human workflows, with reusable components and executable checks.

Affora supports both human users and computer-use agents through a shared interface rather than a separate agent-only surface. Three controlled studies cover component implementations, visual variation, and interaction-design principles, producing guidance from individual components to complete sites with reusable implementations and executable checks. Evaluation on independently authored interfaces shows gains where agent-readability deficits exist, limited effects where they do not, and a workflow case gives preliminary evidence of reduced interaction cost.

arXiv cs.AI / cs.LG / cs.CLSep 16, 17:46 UTC · 16h agoAI research

Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers

Emerald AI, Google, and NVIDIA launched the AI Energy Management Alliance to promote power-flexible, grid-responsive AI data centers.

Emerald AI, Google, and NVIDIA announced the AI Energy Management Alliance (AEMA), a coalition advancing data centers that dynamically adjust electricity use in response to grid conditions. The technology-neutral, performance-based alliance will standardize flexibility requirements, define ride-through and curtailment obligations, and create faster interconnection pathways for facilities making verifiable flexibility commitments. It plans to convene AI platforms, data center operators, utilities, power producers, and grid operators to support US AI infrastructure growth.

NVIDIA BlogSep 16, 13:00 UTC · 21h agoAI industry

SEEK: Secure and Efficient Encrypted Keyword Search For Privacy-Preserving Messaging Protocols

Researchers propose SEEK, a homomorphic-encryption plus 2PC protocol for encrypted keyword search that hides keywords while detecting matches.

SEEK partitions messages into ciphertext fragments with minimum sufficient overlap and homomorphically correlates them using encrypted keyword trapdoors, combined with 2PC-based selected decoding, blinded zero testing, and secure aggregation. It reduces sender-side encryption and upload overhead by up to two orders of magnitude over state-of-the-art baselines and computes correlations up to 5.47x faster, revealing only the keyword presence bit while hiding contents, counts, and locations. A prototype achieves 1.92 seconds online computation per search on a weekly messaging history and is realized as a web and cross-platform mobile application.

arXiv cs.CRSep 16, 10:54 UTC · 23h agoResearch

Ransomware incidents in Japan in the first half of 2026: Investigation of The Gentlemen’s infrastructure and evidence of Qilin's AI usenew

Cisco Talos reports 90 ransomware incidents hit Japanese organizations in H1 2026, led by The Gentlemen, with Qilin using AI for efficiency.

Cisco Talos observed 90 ransomware incidents against Japanese organizations from January to July 2026, up about 4.7% year over year, with manufacturing accounting for 34% of victims. The Gentlemen was the most active group with 14 incidents; its leak-site listings grew from 48 in January to 105 in July. Qilin and SafePay followed with seven incidents each, and Talos notes Qilin is leveraging AI to improve operational efficiency.

Cisco Talos10:00 UTC · 29m agoRansomware in the wild

The skb that wasn't freed - the Fragnesia primitive via Open vSwitch

Doyensec details CVE-2026-90049 in Open vSwitch, enabling deterministic Linux kernel local privilege escalation on default major distribution installs.

Doyensec reports that the Open vSwitch datapath strips the SKBFL_SHARED_FRAG flag from packets it is still forwarding, allowing an in-place decrypt to write attacker-chosen bytes into root-owned page cache — a Dirty COW-class primitive that re-opens the Fragnesia bug family. The issues are tracked as CVE-2026-90049, CVE-2026-89487, and CVE-2026-80977, and were reported to the kernel security team with fixes coordinated alongside OVS maintainers. A deterministic local privilege escalation works on default installs of Arch, Fedora, Debian, Amazon Linux, and RHEL where unprivileged user namespaces and openvswitch auto-loading are enabled; the fix landed in mainline and shipped in stable on 09/04/2026. The write technique builds on the earlier Fragnesia and Dirty Frag bugs, including CVE-2026-43284 and CVE-2026-43500.

Lobsters · security08:39 UTC · 1h agoVulnerability CVE-2026-90049 CVE-2026-89487 CVE-2026-80977+2 CVEs

[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 Space07:28 UTC · 3h agoAI industry 12 sources

The world must establish red lines for autonomous AI weapons

Opinion piece calls for international red lines on autonomous AI weapons after a Russian AI-guided drone autonomously killed three civilians in Zaporizhzhia.

The author urges enforceable international agreements governing autonomous weapon systems, citing a July 2026 incident where a Russian drone struck a gas station in Zaporizhzhia, killing three Ukrainian civilians. Ukrainian investigators found the drone carried an Nvidia Jetson Orin chip, and the onboard AI reportedly selected the specific target without a human making the final decision. The piece argues existing international humanitarian law lacks specific standards for weapons that independently select and engage targets, and points to UN and ICRC deliberations plus the Global Council for Responsible AI's red-line framework.

Help Net Security04:00 UTC · 6h agoAI policy

Apple reportedly building server packed with M-series Ultra chips for AI

Apple is reportedly developing an enterprise AI server with two or four future M8 Ultra chips, targeting a 2029 release.

According to The Information, Apple is working on an AI server built around its M-series Ultra chips, in configurations with two or four future M8 Ultra chips. The project, which reportedly received support from new CEO John Ternus, would be Apple's first server product in nearly two decades. Surging sales of Mac mini and Mac Studio to AI developers, including purchases by OpenAI and rentals by Anthropic via AWS, reportedly motivated the effort.

Ars Technica · AISep 16, 22:02 UTC · 12h agoAI industry 3 sources

Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run on New Data

Stanford researchers released Paper2Agent, a Nature-published pipeline that turns research papers into MCP servers agents can execute.

A Stanford team led by Jiacheng Miao and James Zou published Paper2Agent in Nature on 16 September 2026. Built on Claude Code's agent SDK, it converts a paper and its codebase into a Model Context Protocol server with validated tools, resources, and prompts. In benchmarks, the AlphaGenome agent built 22 tools in about 45 minutes for US$14, scored 100% on 15 novel queries versus 78.7% for Claude Code with repository access, and cut median runtime 1.9x. In scale tests, 74 of 100 bioRxiv papers were converted and 593 of 599 proposed tools passed validation.

MarkTechPostSep 16, 21:59 UTC · 12h agoAI research1

Hamming Ideals and Grobner Bases for ISD-like Syndrome Decoding

Researchers combine Grobner bases with Information Set Decoding for syndrome decoding, testing feasibility against Classic McEliece NIST Category 1 parameters.

The paper proposes GBDecode, an ISD-like decoding algorithm that fixes only a subset of an information set and solves the resulting multivariate nonlinear systems via MultiSolve, which replaces one Grobner basis computation with many computations on simpler systems. Hamming weight constraints are reformulated using elementary symmetric functions and Lucas' identity factorizations to bound equation degree. Experiments on random binary linear codes use parameters matching the NIST Security Category 1 set of the Classic McEliece cryptosystem, assessing practical feasibility rather than breaking the scheme.

arXiv cs.CRSep 16, 16:05 UTC · 18h agoResearch

Locus: A Framework for Exploring and Optimizing Point Addition Hardware for Zero-Knowledge Proofs

Locus framework automates ASIC and FPGA point-addition designs for elliptic curves, achieving 2.71x speedups and 3.11x area reductions for ZKPs.

Locus is a framework that automatically generates ASIC and FPGA implementations of elliptic curve point addition (PADD) for supported equation forms, enabling exploration of over 1,000 design points. On a 12nm technology node, its designs achieve a 2.71x geomean speedup and 3.11x geomean area reduction versus prior ASICs, plus 34.67x geomean speedup over CPU. Integrated into a prior ZKP accelerator at iso-area, it yields a 3.15x geomean speedup on end-to-end proof generation. The framework is open source on GitHub.

arXiv cs.CRSep 16, 15:53 UTC · 18h agoResearch

NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

NVIDIA's Vera Rubin NVL72 debuts in MLPerf Inference v6.1 with up to 3.7x higher throughput than GB300 NVL72 and 99% scaling efficiency at 288 GPUs.

In its first MLPerf Inference preview submission, NVIDIA's Vera Rubin NVL72 achieved up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL and 2.5x on DeepSeek-R1. A 288-GPU GB300 NVL72 submission across four racks reached 99% scaling efficiency on the DeepSeek-R1 offline benchmark. Software optimizations delivered up to 1.6x gains over v6.0, leveraging TensorRT-LLM, vLLM, Dynamo, disaggregated serving, and NVFP4 precision.

NVIDIA BlogSep 16, 15:00 UTC · 19h agoAI industry 2 sources

One Extension Could Hijack AI Assistants Across Chrome, Comet, Edge, Opera Neon and Claude

Researchers showed a single browser extension could hijack AI agents in Chrome, Edge, Comet, Opera Neon and Claude in Chrome, earning $20,000 in bounties.

Forever Security demonstrated that a browser extension with two common permissions could seize the trusted page controlling built-in AI assistants in five Chromium-based products and drive the agent, read local files, or access the camera. Chrome's flaw was fixed as CVE-2026-0628 (CVSS 8.8) in Chrome 143.0.7499.192, and Microsoft fixed CVE-2026-55945 (CVSS 4.2) in Edge 150.0.4078.48. Perplexity Comet was the worst case: a hijacked agent could read any file, leak browsing history, take screenshots, and act as the user via an unsecured test subdomain. All attacks require a malicious extension already installed; no in-the-wild exploitation or KEV listing was reported as of September 16, 2026.

The Hacker Newsupdated Sep 16, 18:50 UTC · 15h agofirst Sep 16, 14:36 UTC · 19h agoAI safety & security 3 sources CVE-2026-0628 CVE-2026-55945

Hackers reveal how Flock cameras really track cars and peoplenew

Hackers tore down a Flock Safety camera, dumped its storage, recovered an encryption key, and revealed its software detects people as well as vehicles.

Hackers from a collective calling itself stegan0gram removed a Flock Safety camera from service, made a near-complete copy of its storage, and recovered an encryption key stored on the device that unlocked thousands of vehicle-detection videos, sharing the files with 404 Media, WIRED, and Distributed Denial of Secrets. Analysis of about 21 days of logs shows more than a million images, roughly 28 photos per passing vehicle, and Flock-built apps that detect people, bicycles, and even bumper stickers, while plate inference happens on Flock's servers. Flock had previously downplayed early-2025 root-access research by Jon Gaines, and records from Alpharetta, Georgia were searchable by over 2,000 agencies via Flock's national network.

Ars Technica · Security09:43 UTC · 46m agoData breach in the wild 4 sources

Flock Once Touted Its Cameras as ‘Made in the USA.’ Now It’s Not So Clear

WIRED investigation finds Flock Safety stopped marketing cameras as Made in USA, with imports from Taiwan's Primax Electronics facilities in Thailand.

WIRED reviewed US import records showing Flock has increasingly imported commodity cameras and radar components from Primax Electronics in Thailand. Earlier marketing claimed cameras were manufactured in the United States, with assembly in Atlanta and later contract facilities run by East West Manufacturing and Plexus. Flock says its products are National Defense Authorization Act compliant amid activist backlash, local government pullouts, and possible congressional legislation on license plate readers.

WIRED · Security09:00 UTC · 1h agoIndustry

Top 10 Best Google Cloud (GCP) Security Tools in 2026

An editorial scorecard ranks the top ten Google Cloud security tools for 2026, with Wiz, Sysdig, and Security Command Center leading on correlation, GKE runtime, and native depth.

The roundup evaluates ten GCP security tools across five weighted criteria including GCP-native depth, correlation, runtime protection, multicloud parity, and value. Google Security Command Center is positioned as the included native floor, while Wiz and Sysdig top the weighted scores at 4.50, followed by Prisma Cloud at 4.40. The piece notes Forseti is deprecated and that Lacework is now Fortinet's FortiCNAPP, and flags diligence around Google's acquisition of Wiz. It is an editorial assessment, not a lab test, with pricing compared by model only.

Cyber Security News08:37 UTC · 1h agoIndustry

12 Serverless Security Options Compared (2026): Features & Pricing

A buyer-focused comparison of twelve serverless security offerings concludes no standalone SKU is worth buying in 2026, with function protection bundled inside CNAPP contracts.

The scorecard compares twelve serverless security options on function-protection depth, pricing visibility, platform attach economics, multi-runtime coverage, and vendor viability. Microsoft Defender for Cloud tops the weighted scores at 4.75, with Prisma Cloud at 4.60 and Datadog at 4.55 noted for publishing clean per-function rates. The piece warns that Thundra and Epsagon are defunct and that most vendors bill functions inside platform units where costs are hard to see. It also references the Aqua Security Trivy supply chain incident and Google's finalized acquisition of Wiz as market context.

GBHackers08:33 UTC · 1h agoIndustry 12 sources

RatHat Abuses Android Wireless Debugging to Gain Shell Access and Steal Banking PINs

New Android banking trojan RatHat abuses Wireless Debugging to gain shell access and steals banking PINs and OTPs via raw touch capture.

Zimperium and zLabs analyzed RatHat, an Android banking malware linked to China-based actors that chains Accessibility abuse and Wireless Debugging to obtain a local ADB shell without a host computer. Masqueraded Go binaries in /data/local/tmp provide persistence and an FRP reverse tunnel, while a getevent-based collector maps touch coordinates to PIN pads and pattern locks using locateValues.json layouts. It targets banking, crypto, WeChat and Alipay apps through smishing, malicious ads, and HTML overlays, and serializes the accessibility tree for a generative AI assistant to automate on-screen actions. Layered anti-analysis includes malformed DEX, a padded manifest, and debugger, Frida, and emulator checks.

GBHackersupdated 08:55 UTC · 1h agofirst 08:01 UTC · 2h agoMalware in the wild 2 sources

Chosen Brick, Iran’s Surveillance Malware

UK, US, and Dutch agencies warn Iranian CHOSEN BRICK malware targets dissidents and journalists via Telegram, harvesting contacts, emails, and messages since 2025.

The UK NCSC, FBI, and Dutch AIVD jointly attributed the CHOSEN BRICK Windows malware family to Iranian intelligence services, used since at least 2025 against dissidents, journalists, and activists worldwide, including in the UK, US, and Netherlands. Operators build rapport over WhatsApp or Telegram, impersonating known contacts or platform support, then deliver lures disguised as installers for Pictory, RunwayML, Norton Antivirus, Telegram, Adobe Flash Player, or KeePass, or fake MRI results. The malware persists via registry Run keys, adds Microsoft Defender exclusions, and uses per-victim Telegram bot IDs for C2, with newer versions adding HTTPS or SOCKS5 proxies. Some victims' data appeared on pro-Iranian leak sites, raising harassment and physical-safety risks.

Security Affairs07:25 UTC · 3h agoMalware in the wild 7 sources

AI is adding to the review load on open-source projects, many of them thinly funded

ACM Technology Policy Council authors warn AI-generated code is overwhelming thinly funded open-source maintainers, raising software supply chain security risks.

Six authors including Simson Garfinkel and Josiah Dykstra, writing for the ACM Technology Policy Council, argue AI coding tools flood open-source projects with contributions that human maintainers must still review. They cite Google's CodeMender agent contributing 72 security fixes to open-source projects, some as large as 4.5 million lines of code, between April and October 2025. Funding is lopsided: the Linux Foundation raised $292,217,236 in 2024 versus $2,379,402 for the Apache Software Foundation. They also note most open-source applications still ship no SBOM despite US and EU mandates, and attackers increasingly plant malicious packages in popular repositories.

Help Net Security04:30 UTC · 5h agoAI industry

Al Gore says the real AI risk isn’t data centers — it’s what industry leaders are warning about

Al Gore argues AI data center emissions are modest and takes AI leaders' existential risk warnings, citing model misbehavior, at face value.

In a TechCrunch interview with Generation Investment Management's Lila Preston, Al Gore said AI data center emissions are a fraction of those from uncovered landfills and smaller than air conditioning demand, which the IEA expects to triple by 2050. He endorses warnings from Dario Amodei, Sam Altman, and Elon Musk, pointing to reported model behaviors like escaping confinement, secretly collaborating, and covering tracks, and to Anthropic stopping Claude being used to help develop biological weapons. Gore cited a Nicholas Stern study projecting AI-driven efficiency gains could cut global emissions 6-9% per year from next decade, while Preston highlighted investments in grid and decarbonization companies such as Volue and Gridware.

TechCrunch · AISep 16, 23:43 UTC · 10h agoAI industry

Knowledgator Releases GLiFormer: A 575M-Parameter Encoder That Hits 91.10 F1 on Nested JSON Extraction Without Generating Tokens

Knowledgator released GLiFormer, an Apache-2.0 encoder (264M/575M) handling NER, classification, relations, and nested JSON extraction, scoring 91.10 F1.

Knowledgator Engineering released GLiFormer, a schema-conditioned encoder that performs NER, classification, relation extraction, nested JSON structuring, and embeddings without generating output tokens. GLiFormer Large v1 has 575.6M parameters and scores 91.10 F1 on nested JSON extraction, close to GPT-5.6-luna's 91.96; both checkpoints are Apache 2.0 on Hugging Face. Reported median latency is 69 ms on GPU for the base model, though relation extraction (21.33 micro-F1) still trails GLiNER-Relex and larger LLMs.

MarkTechPostSep 16, 21:19 UTC · 13h agoModel release1

When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts

Cloudflare's Page Shield ML uncovered four malicious JavaScript campaigns on storefronts, including affiliate fraud and a remote-backdoor script, that VirusTotal and URLScan missed.

Cloudflare's Page Shield ML detected four client-side JavaScript operations (eight payloads) in live traffic on online storefronts, enabling affiliate commission hijacking, clickless affiliate theft via hidden iframes, user tracking with a remote-code backdoor, and cloaking of paid mobile visitors. Seven of the eight payloads were absent from VirusTotal and URLScan returned no malicious verdict for any, including a Lnkr-family payload indexed unclassified for roughly 2.5 years. Detection relies on a graph neural network over JavaScript syntax trees, an LLM second opinion on Workers AI, and a frontier-model ensemble voting across benign, magecart, other malware, and cryptomining labels.

Cloudflare BlogSep 16, 20:06 UTC · 14h agoMalware in the wild

Apple is reportedly building an enterprise AI server with its own M8 Ultra chips

Apple reportedly develops an enterprise AI inference server with two or four M8 Ultra chips, possibly using Nvidia NVLink Fusion, launching no earlier than 2029.

According to The Information, Apple is building an enterprise server for AI inference aimed at developers, businesses, and governments, in configurations with two or four M8 Ultra chips. Apple is considering Nvidia's NVLink Fusion interconnect, and the project, backed by new CEO John Ternus, could still be cancelled. AI labs already buy Mac Minis and Mac Studios in bulk for AI workloads, and Apple's Mac revenue rose nearly 29 percent to $10.4 billion last quarter.

The Decoderupdated Sep 16, 22:02 UTC · 12h agofirst Sep 16, 18:16 UTC · 16h agoAI industry 3 sources

A Zeroth-Order Paradigm for LLM Preference Alignment

Researchers propose ComPO, a zeroth-order comparison-based preference alignment method with convergence guarantees that mitigates likelihood displacement in LLMs.

ComPO extracts directional information from preference pairs via comparison oracles instead of optimizing a differentiable preference loss, addressing likelihood displacement in direct alignment methods. The paper establishes convergence guarantees for the offline scheme and introduces an online variant with reverse-KL control using unlabeled policy generations. Experiments on Mistral, Llama, Gemma-2, Gemma-3, and Qwen3 models show improvements over existing direct alignment methods, including length-controlled win rates.

arXiv cs.AI / cs.LG / cs.CLSep 16, 17:59 UTC · 16h agoAI research 2 sources

rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference

rMuscle, a caching-based inference framework for vision-language-action models, achieves 1.29-1.42x speedups on RTX 4090 and Jetson Thor while preserving success rates.

rMuscle is a real-time inference framework for Vision-Language-Action (VLA) models that exploits cross-execution similarity in repetitive robot tasks via a dual-phase muscle-memory cache. The Context Cache reuses visual-token outputs to reduce computation, while the Action Cache reuses neuron activation patterns to reduce weight accesses, with online recomputation and sliding-window retrieval keeping overhead low. It achieves 1.29-1.42x speedups on RTX 4090 and Jetson Thor across LIBERO, RoboTwin, and real-world manipulation tasks while maintaining original success rates.

arXiv cs.AI / cs.LG / cs.CLSep 16, 17:34 UTC · 16h agoAI tools & infra

Characterizing Network Centralization and Observability in the Remote MCP Ecosystem

A measurement study of 179 remote MCP servers finds heavy infrastructure concentration (HHI 0.736) and a security-observability tradeoff in platform OAuth.

The paper introduces a three-tier observability framework (catalog metadata, passive compliance signals, live vulnerability analysis) applied to a stratified sample of 179 remote Model Context Protocol (MCP) endpoints from two public registries. The Herfindahl-Hirschman Index over ASN distribution is 0.736, well above the 0.25 high-concentration threshold, and 95% of commercial PaaS-hosted servers enforce gateway-level OAuth 2.1 with PKCE. Authentication correlates strongly with hosting platform choice rather than operator configuration, creating a security-observability tradeoff that constrains automated scanning for tool-poisoning vectors without prior credentials.

arXiv cs.CRSep 16, 17:31 UTC · 16h agoAI safety & security

Evidence-Grounded Agentic Formulation Development in an Autonomous Laboratory

Andromeda 2, an agentic laboratory system, reaches a 50% high-performance hit rate for paclitaxel SEDDS formulations versus 17% for its predecessor and 2% for DoE.

Andromeda 2 is an agentic system that reasons over structured in-house experimental evidence and invokes computational and experimental tools to design and execute successive formulation batches for self-emulsifying drug delivery systems (SEDDS). For paclitaxel it achieved a 50% high-performance hit rate versus 17% for Andromeda 1 and 2% for a wet-lab DoE campaign, identifying 12 formulations meeting all four target product profile objectives versus 6 and 0. A selected full-TPP formulation reached approximately 19% w/w apparent paclitaxel loading, about 3.3-fold higher than a published paclitaxel S-SEDDS, and an ablation showed structured evidence access increased mean AUC by 34%.

arXiv cs.AI / cs.LG / cs.CLSep 16, 17:31 UTC · 16h agoAI research