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792 results for β€œTIME”

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  1. Luke The Dev (@iamlukethedev) on X

    Hermes, the Nous Research agent framework, shipped 130 merged PRs in October 2026, according to this X recap by Luke The Dev. Main items are a unified gateway runtime, a Desktop and Bot Screen, a bundles and package manager, crash-safe updates and new Claude model entries. Ten PRs cover security: an iron-proxy credential-injection egress firewall for sandboxes, 31 CVEs patched in Python and npm lockfiles, and profile-export and prompt-leak fixes.

    x.comthreadAdded 2 Nov 2026🧠 AI

  2. Prasenjit Sarkar (@stretchcloud) on X

    Campfire is a free, open-source, self-hosted tool that runs Claude Code, Codex, Goose, Aider and OpenHands side by side in one browser tab. Each agent gets its own git worktree, with permission voting (30 second timer, majority rules), session replay, cross-backend agent races and a shared semantic memory layer. Installs with bunx the-campfire. The post also compares Clawboo, Conductor, Vibe Kanban and Crystl.

    x.comthreadAdded 1 Nov 2026, published 31 Oct 2026🧠 AI

  3. Explaining β€œAI might obliterate you” to senior policymakers in India

    Explaining "AI might obliterate you" to senior policymakers in India is an AI Alignment Forum post by TurnTrout, dated 31 October 2026, with a 15-minute read time. It is filed under Plan A, Regulation and AI Risk, and Slowing Down AI. The fetched page shows no body text, so the arguments and any account of the India policy discussions are not available here.

    alignmentforum.orgarticlePublished and added 31 Oct 2026🧠 AI

  4. Chainalysis discloses data breach from "offensive agentic techniques"

    Chainalysis disclosed a security incident in which an external actor used "offensive agentic techniques" to access internal systems and tools earlier in the month. Exposed customer data includes user IDs, names, email addresses and organizational role labels. The company reports no evidence of access to investigation content, credentials or session tokens, and has shared no details on the vulnerabilities, tools or dwell time. The article also lists other incidents from the same week.

    bleepingcomputer.comarticlePublished and added 31 Oct 2026πŸ›‘οΈ Security

  5. Syrian Hacker Gets Prison Time in US After Over a Decade on the Run

    Ahmad Umar Agha (Th3Pr0), a Syrian Electronic Army member, received a 42-month US sentence in the Eastern District of Virginia, over 12 years after he was first charged in June 2014. He compromised about 47 Western media, company, NGO and government targets, including the 2013 Associated Press Twitter takeover that caused a flash crash. Accomplice Firas Dardar remains at large.

    securityweek.comarticlePublished and added 31 Oct 2026πŸ›‘οΈ Security

  6. 🚨 AI News | TestingCatalog (@testingcatalog) on X

    RoboAPI is a public API from PokeBot, powered by its world-action model Poke-Aurora, that lets robot arms do new tasks from natural-language instructions with no task-specific data collection or training. A user connects a supported arm with a wrist-mounted camera, gives a task such as "clean the table", and receives the next moves in near real time. The post gives no benchmarks, supported hardware list or pricing.

    x.comthreadAdded 1 Nov 2026, published 31 Oct 2026🧠 AI

  7. Trojanized Claude Code Extension Delivered Persistent SSH Backdoor to Developer Machines

    The Claude Code VS Code extension anthropic.claude-code 2.1.313 was published on Open VSX on 29 October 2026 with a malicious loader prepended to extension.js. On load it planted an attacker SSH key (svc-telemetry), installed per-OS persistence, opened a reverse SSH tunnel and beaconed host recon over HTTP. Cursor reports at most 5,000 users received it in an 11-hour window. The post gives the timeline, cleanup artifacts and credential rotation steps.

    stepsecurity.iowriteupPublished and added 30 Oct 2026πŸ›‘οΈ Security

  8. Binance Exploit: Latest Findings and Response

    Chainalysis assesses the 29 October 2026 theft of about $6.4 billion from Binance hot wallets as the work of North Korean group TraderTraitor. Attribution rests on on-chain behavior, including real-time commingling with funds from the Bitget exploit, a Tornado Cash-funded operator wallet and signed authorizations that let a hot wallet run attacker code. About $2.8 billion was frozen. Laundering shows automation, with addresses receiving exactly 1 TRX before forwarding funds.

    chainalysis.comarticlePublished and added 30 Oct 2026πŸ›‘οΈ Security

  9. Earliest Known PolinRider Malware Found in 2025 npm Packages

    OpenSourceMalware traces nine itsa-* npm package versions published on 4 May 2025 from a hijacked maintainer account to the PolinRider campaign, eight months before documented victims. It decodes the EtherHiding chain (BNB Smart Chain and Ethereum calldata, JADESNOW, INVISIBLEFERRET bootstrapper, Socket.IO RAT, Python stealer) and links the 2025 sample to 2026 force-push infections. It lists IOCs, hashes, a timeline and hunting guidance.

    opensourcemalware.comwriteupPublished and added 30 Oct 2026πŸ›‘οΈ Security

  10. Show HN: I Turned DOOM into a Transformer

    Doomformer compiles integer neural networks into ZDoom maps that run in ViZDoom. Voodoo dolls do the arithmetic, and sector light levels and plane heights hold the values. Python reads every value back and compares it with a NumPy integer reference at tolerance 0. It runs MNIST (97.16 % on all 10,000 digits, every pass exact), small transformers, a learning perceptron and a SUBLEQ machine. It is about 23,000 times slower than NumPy on a small MLP.

    github.comrepoAdded 30 Oct 2026, published 29 Oct 2026🧠 AI

  11. Rekt - Initia - Rekt

    Rekt News post-mortem of the 23 October 2026 Initia exploit. A MoveVM script-caching bug let an attacker credit unbacked WETH, iUSD, AUSD0 and USDC without raising total supply, and bridges paid out about $2.73 million (1.4 million AUSD, 105 ETH, 1.08 million USDC). It includes 0xCanzi's local replay of a stale cached verification, the on-chain laundering timeline, and the Foundation's backing-restoration pledge.

    rekt.newsarticleAdded 29 Oct 2026πŸ›‘οΈ Security

  12. SAIL Framework: A Practical Guide for AI Security

    The SAIL Framework from Pillar Security is a seven-phase, lifecycle-oriented method for securing AI systems. The phases are AI policy and safe experimentation, AI asset discovery, AI security posture management, AI red teaming, runtime guardrails, sandboxed execution for agents and MCP servers, and AI activity tracing. It argues for a "Shift Up" approach that protects the business logic AI controls, and it is meant to sit on top of existing standards.

    pillar.securityarticleAdded 29 Oct 2026πŸ›‘οΈ Security

  13. What are shell vulnerabilities? PHP2Shell, Node2Shell (HTTP2Shell), React2Shell and Log4Shell explained

    Explainer on "shell" vulnerabilities, the -Shell naming for RCE flaws that began with Log4Shell (CVE-2021-44228). It compares memory-corruption bugs (PHP2Shell, CVE-2026-109618 and CVE-2026-109619; Node2Shell, CVE-2026-111497, in the Brotli decoder) with design-flaw bugs (Log4Shell, React2Shell, CVE-2025-55182). It covers shared traits, exposure through inherited components, and Brotli patch status across runtimes and distributions.

    aikido.devarticleAdded 30 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  14. Efficient Scalable Oversight via Rewinding

    Rewindable interactive proofs (RIPs) are a new model of relativizing interactive proofs for scalable oversight, in which a weak verifier can rewind an AI prover to an earlier saved state. The paper builds an RIP for computations robust to changes in a small fraction of oracle answers. The honest prover runs in linear time, the verifier runs in nearly linear time in the input length after one-time preprocessing, and no cryptography is used. A preliminary MNIST experiment shows an RIP can be faster than a deployed proof system.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  15. Digital Forensics: Analyzing Windows Prefetch Files for Evidence

    Windows Prefetch forensics tutorial from Hackers Arise. It explains that prefetch files in C:\Windows\Prefetch record last run time, run count and files touched, so they prove an application was used even after deletion. It shows parsing with NirSoft WinPrefetchView, building a timeline from Last Run Time, and how a suspect could disable Prefetch or Superfetch (SysMain).

    hackers-arise.comarticlePublished and added 29 Oct 2026πŸ›‘οΈ Security

  16. The Athlete as a Scientist of One: Agentic Bayesian Experimental Design for Individualized Physiology from Consumer Wearables

    EpiCoach is an agentic system that treats one cross-country mountain biker as an N-of-1 experiment. Claims live in an evidence-gated hypothesis registry, and each must make a probabilistic prediction before a session. Predictions come from a digital twin fitted to heart rate, GPS and altitude. In a replay over eighteen months the twin beat standard forecasters on heart rate but not segment time, and the agent loop matched a static model. In the first three live weeks, the ledger sealed 20 predictions and scored 14, and a safety officer vetoed the agent twice. The registry, benchmark and protocol are released.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  17. MAServeBench: Benchmarking Multi-Agent LLM Serving Systems with Hierarchical Collaboration Workloads

    MAServeBench is a benchmark that treats multi-agent collaboration as a configurable dimension of LLM serving workloads. Its composable stages model how agents coordinate and exchange context in documented multi-agent workflows, and Hierarchical Semantic Traces record operations and dependencies for reproducible comparisons. Task-linked measurements tie workloads to GPU/NPU behavior, showing serving efficiency does not always mean timely task completion. Code is released.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  18. Cisco Open Sources Quarry to Catch AI Agent Attacks Hidden in Harmless Steps

    Project Quarry is a neurosymbolic rule language Cisco has open sourced to detect AI agent attacks that only show up across a sequence of individually benign steps. Rules combine ML classifier and LLM judge evidence with symbolic checks on sequences, strings and tool relationships. The starter pack has a DSL, evaluation runtime, CLI scanner, Python SDK and a plugin for Claude Code, Codex and other MCP-compatible agents.

    securityweek.comarticlePublished and added 29 Oct 2026πŸ›‘οΈ Security

  19. Quasi-polynomial time algorithms for block basis reduction of linear codes

    Kolesnikov and Novoselov give block basis reduction (BKZ) algorithms for linear codes that need polynomial or quasi-polynomial numbers of calls to a minimum weight codeword oracle at fixed block size. The earlier Ghentiyala and Stephens-Davidowitz bounds are exponential. The paper adds a truncated BKZ and a DeepBKZ variant, with an implementation for block sizes 2 to 24 and approximation-factor estimates on random codes.

    eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  20. A Quantitative Evaluation of Constant-Time Analysis Tools

    AutoBench-CT is a modular benchmark for constant-time analysis tools, with manually verified per-violation ground truth across 64 cryptographic tasks. It scores seven tools on operational performance, detection quality and usability. The authors explain why CT-grind (2010) is still the most used tool, list recurring limitations across tools, and propose a composite pipeline for stronger constant-time guarantees. Accepted at ACSAC 2026.

    eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  21. Turing LLM Post-Training: Calibrated Distillation and Efficient Dynamic-MoE Execution

    Turing LLM post-training combines calibrated multi-teacher on-policy distillation (C-MOPD) with an execution path for dynamically routed mixture-of-experts models. C-MOPD matches each teacher on a local Top-K support with teacher-wise loss normalization and clipping. On Turing-20B-A2B it scores 0.9988 on four-domain integration, beats Qwen3-8B on math and code (85.92 vs 80.33 mean), and cuts consolidation step time from 398.7 to 139.3 seconds in a PPU profile.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026🧠 AI

  22. Cryptanalysis and Enhancement of VTBSAE: Provably Secure Verifier-Based PAKE Protocols for the Industrial Internet of Things

    Cryptanalysis of VTBSAE, a verifier-based PAKE protocol for the Industrial Internet of Things, showing it fails to resist client impersonation after server compromise. The authors propose E-VTBSAEv1, which binds the client point E1 to fresh server randomness, and prove AKE security and forward secrecy in the random-oracle model under CDH. Raspberry Pi 4B tests show runtime comparable to VTBSAE with the same communication and storage overhead.

    eprint.iacr.orgpaperAdded 31 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  23. Ghost in the PHP2Shell: Why coordinated disclosure and patching will start moving faster

    Aikido's analysis of the PHP2Shell disclosures (CVE-2026-109618 and CVE-2026-109619), published October 2026. It covers the timeline: the CVE IDs leaked on 20 October, PHP moved its release to 21 October, and Amazon reports exploitation attempts from 17 October. It cites Censys data (32.5 million services still affected on 27 October) and argues that AI-driven discovery and exploit building call for shorter embargoes and faster patching.

    aikido.devarticleAdded 28 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  24. Wagyu Confirms Data Leak Exposing Monero Swap Records

    Wagyu, a Monero swap service, confirmed a data leak after Hudson Rock found 4,580 orders in exposed records. The records link public-chain deposit transactions to Monero destination addresses and client IP addresses, which undoes the privacy a swap into Monero is meant to give. The fetched page held only the headline and subhead, so the cause, timeline and remediation are not covered.

    thedefiant.ioarticlePublished and added 29 Oct 2026πŸ›‘οΈ Security

  25. What is an AIBOM? AI bill of materials explained for security teams | Endor Labs

    An AIBOM is a machine-readable inventory of models, datasets, dependencies, AI services, agents and MCP servers, with evidence of origin, license, integrity and evaluation. The Endor Labs explainer walks through a worked CycloneDX example for a fine-tuned support assistant. It compares CycloneDX ML-BOM, SPDX 3.x, the OWASP AIBOM project and the May 2026 CISA/G7 guidance, and lists what an AIBOM cannot show: runtime behavior and agent actions.

    endorlabs.comarticlePublished and added 29 Oct 2026🧠 AI

  26. What is an AIBOM? AI bill of materials explained for security teams | Endor Labs

    AIBOM explainer from Endor Labs: an AI bill of materials is a machine-readable inventory of models, datasets, dependencies, AI services, agents and MCP servers, with origin, license and integrity evidence. It walks through a CycloneDX entry for a fine-tuned model, compares CycloneDX ML-BOM, SPDX 3.x, the OWASP AIBOM Generator and the May 2026 CISA/G7 minimum-elements guidance, and lists a six-step build process. It also states what an AIBOM cannot show: model safety, runtime behavior and coding-agent actions.

    endorlabs.comarticlePublished and added 29 Oct 2026πŸ›‘οΈ Security

  27. Claude Code regularly sends each background agent’s transcript to its model

    no-agent-summary.js is a roughly 70-line Bun preload by Flamerix AI that stops Claude Code from re-sending each background agent's full transcript to its model every ~30 seconds for a status-line summary. The write-up cites OpenTelemetry measurements of 18 to 26 percent of spend (since version 2.1.232), explains the setTimeout hook, and gives install and verify steps. It was tested on Linux with Claude Code 2.1.257 to 2.1.312.

    gist.github.comwriteupAdded 30 Oct 2026, published 29 Oct 2026🧠 AI

  28. REALM: Identifying Minimal Task Assets for LLM Agents

    REALM (Required Execution Assets Linked to a Mission) is an approach to applying least privilege to LLM agents by identifying the assets a task needs, including ones discovered at runtime. It models assets as Dependency Graph nodes, separates discovering an asset from authorizing it, and exposes resource-bound Partial APIs inside a Task Container. On AgentDyn with qwen3.5-flash, attack success rate falls from 16.6% to 0.2%, with 40.0% task completion on clean tasks and 36.4% on injected cases.

    arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  29. GitLab Security Incident: Attempted Exploitation of CVE-2026-97229

    Alpine Linux incident report on attempted exploitation of CVE-2026-97229 (CVSS 10.0), a regex-evaluation bug in Ruby's Onigmo engine reachable through GitLab CI configuration. An attacker crashed workers 8 times on 20 and 21 October 2026. Upgrading to GitLab 19.3.6 did not fix it because the patch sits in GitLab's bundled Ruby. Alpine rebuilt the instance and found no tampering with aports or releases.

    alpinelinux.orgwriteupAdded 29 Oct 2026, published 28 Oct 2026πŸ›‘οΈ Security

  30. Why Agents Love Supabase

    Latent Space podcast episode with Supabase founders Paul Copplestone and Ant Wilson on why frontier models pick Supabase first for app backends. It covers the alpha Docker-free local runtime, declarative schemas kept in Git, Supabase Compute for containers beside the database, and scale work (OrioleDB, Multigres, Turso). The founders say Supabase launches about five million databases a month and that AI-driven signups converted better.

    latent.spacetalkPublished and added 28 Oct 2026🧠 AI

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