- President Trump says theyβre looking into Binance hack as calls grow for crypto rules
The Block reports that Binance lost about $6.3 billion in a hack on 29 October 2026. Co-CEO Richard Teng said a compromised DevOps engineer's laptop gave access to a service container used to submit unauthorized withdrawals, and TRM Labs attributed the theft to North Korea's TraderTraitor. The rest covers reactions: President Trump said on 30 October he was looking into it, CFTC Chair Michael Selig and The Digital Chamber urged federal exchange rules, and senators disputed whether the Clarity Act would have allowed freezes.
theblock.coarticlePublished and added 30 Oct 2026π‘οΈ Security
What are shell vulnerabilities? PHP2Shell, Node2Shell (HTTP2Shell), React2Shell and Log4Shell explainedExplainer 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 2026π‘οΈ Security
Don't Lose the Thread: Empowering Long-Horizon LLM Agents with Cognitive Resource Self-AllocationCORAL (Cognitive Resource Self-Allocation) is an agent-callable working-memory toolset that lets an LLM agent checkpoint task progress and verified facts, then reset its cluttered context and resume from a clean state. A Multi-episode Agentic Reinforced Policy Optimization algorithm trains the checkpointing. With an 8B model it reaches 42.8% average accuracy on GAIA, uses 6-7x fewer input tokens than a ReAct agent, and adds 8.0 points to a proprietary agent on BrowseComp.
arxiv.orgpaperAdded 31 Oct 2026, published 29 Oct 2026π§ AI
LLM VoiceLLM Voice is a 29 October 2026 post by Martin Fowler on the uncanny-valley reaction readers have to LLM-written prose. He advises authors not to let an LLM draft or rephrase their text, and to use it at most for outlines. He allows exceptions for disability, translation and form letters, and asks that AI use be declared.
martinfowler.comarticleAdded 30 Oct 2026, published 29 Oct 2026π§ AI
[AINews] Anthropic files for $2T IPO in 2 weeks: 1400% growth rate, 48% of revenue through cloud partners, 85% margin, $1B op profit in Q2, $134B cash in bank and $10B lifetime burnAINews issue from Latent Space on 27 October 2026, led by Anthropic's S-1 filing for a Nasdaq listing (ticker ANT). It reports H1 2026 revenue of $16.3B, an 85% gross margin, $974M Q2 operating profit and 48% of revenue through cloud marketplaces, with reactions from named analysts. It also covers model releases, inference economics and agent tooling. The page text is truncated.
latent.spacearticlePublished and added 27 Oct 2026π§ AI
SentryBench: A Cost-Sensitive Benchmark for Adversarial Robustness of Tool-Using LLM Agents in Public-Safety DeploymentsSentryBench is a benchmark for tool-using LLM agents in public-safety deployments. It scores attack success, over-refusal (missing a real emergency) and over-reaction (unwarranted action) on a cost-sensitive frontier, using real emergency-call transcripts, disaster messages and injection payloads. Across 840 episodes on three frontier models and three defenses, refuse-more caution pushed over-refusal to 100 percent on two models, while a trust-gating wrapper gave the lowest harm.
arxiv.orgpaperAdded 27 Oct 2026, published 25 Oct 2026π§ AI
SentryBench: A Cost-Sensitive Benchmark for Adversarial Robustness of Tool-Using LLM Agents in Public-Safety DeploymentsSentryBench is a benchmark for tool-using LLM agents in public-safety settings (public alerts, responder dispatch, citizen-record queries). It scores attack success, over-refusal and over-reaction on a cost-sensitive frontier, using real emergency-call transcripts and real injection/jailbreak payloads. Across 840 episodes on three frontier models and three defenses, refuse-more caution raised over-refusal to 100 percent on two models, while a trust-gating wrapper gave the lowest harm on every model.
arxiv.orgpaperAdded 27 Oct 2026, published 25 Oct 2026π‘οΈ Security
Block's new voice AI sounds eerily human, sparking awe and scam fearsDessa is a voice AI model from Block, trained from scratch on human speech only, with no text stage. It listens while speaking, so it handles interruptions, laughter and tone changes. Block says it trained on one Nvidia GB200 NVL72 system and that it runs locally on a MacBook Pro with M4 Max or better. Model size, benchmarks and release date are undisclosed. Early access goes to a small group of AI safety researchers. Reactions split between praise and scam fears.
coindesk.comarticlePublished and added 24 Oct 2026π§ AI- KhulekanisiyandaMchunu/llm-trading-arena
wtfibought (llm-trading-arena) is an MIT-licensed live arena where LLM agents trade virtual capital on real market data with all reasoning public. Users bring their own model and key, set the wake candle interval, leverage range and margin budget, with at most three symbols and twelve model calls per wake. The stack is Spring Boot on Java 25 with Spring AI, PostgreSQL, Redis and a React 19 frontend.
github.comrepoAdded 26 Oct 2026, published 23 Oct 2026π§ AI - vxcontrol/pentagi
PentAGI is an open-source, self-hosted multi-agent system that uses LLM agents to carry out penetration testing tasks autonomously. The MIT-licensed repo has a Go backend, a React frontend and GraphQL. It ships Docker Compose files for Langfuse tracing, Graphiti knowledge-graph memory and an observability stack. Topics list OpenAI and Anthropic as model backends.
github.comrepoAdded 20 Oct 2026π§ AI
ALTK-Evolve: How learned memory tops the ΟΒ²-bench leaderboard on customer service tasks without a frontier modelALTK-Evolve is an IBM Research method that distills an agent's own training-task trajectories into short behavioral guidelines appended to the system prompt, with no weight updates. On ΟΒ²-bench, a stock ReAct agent with gpt-4.1 reaches 67.5% Pass^4 on retail, and gpt-5.5 reaches 82% on airline. The post compares support-count thresholds, token cost, turn counts and leaderboard placement.
huggingface.cowriteupPublished and added 20 Oct 2026π§ AI- lee1981 (@lee1981b) on X
CVE-2026-77932 affects DB-GPT through 0.8.2 (dbgpt-app). The /api/v1/chat/react-agent route accepts unauthenticated requests because get_user_from_headers returns an admin-role user, and the ReAct agent can reach unsandboxed Python and shell tools. Lasso reported root in the webserver container in a lab. The post gives CVSS 9.8 and 9.3, no verified fix (0.8.2 is still the latest release), no KEV match, no EPSS data, and a SOC hunting trail.
x.comadvisoryAdded 23 Oct 2026, published 20 Oct 2026π‘οΈ Security - DietrichGebert/ponytail
Ponytail is a single skill prompt (skills/ponytail/SKILL.md, with a compact AGENTS.md) that makes coding agents write only the code a task needs, reusing existing components while keeping validation, error handling, security and accessibility. The author benchmarked it in Claude Code with Opus 5.5 over 39 tasks, 5 runs each, including a real FastAPI + React repo. They report -53% code, -41% time, -26% cost and -45% tokens, and 98% of risky logic shipping with a test versus 68% without. It adds /ponytail-review and /ponytail-audit commands, a Claude Code cost/token band with a local board, and installs through Claude Code and Codex plugin marketplaces or as a rules file for Cursor, Copilot, Gemini, OpenCode and others.
github.comrepoAdded 17 Oct 2026π§ AI - Bikash | Hermes Super-Intel (@BkashJosi) on X
Post by Bikash (@BkashJosi) ranking open GitHub issues labelled type/feature for the Hermes agent framework by thumbs-up reactions. The query returned 5,349 issues and only one has more than 50 votes. The top three are Claude Agent SDK with subscription OAuth (57), remote Hermes with local tool execution (41) and Mistral provider support (32), followed by backups, configuration sync and context reduction. The full top 10 is only in the video.
x.comthreadAdded 20 Oct 2026, published 17 Oct 2026π§ AI - Dark Web Intelligence (@DailyDarkWeb) on X
Summary of Vercel's Oct 14, 2026 out-of-band Next.js security release fixing two critical unauthenticated RCEs: one in App Router apps with Cache Components where a "use cache" function returns multiple typed arrays (GHSA-673q-mjm6-r5xr, upstream React GHSA-xqc2-xf4c-x3h3, no workaround), and one in the Image Optimization API handling SVG on glibc Linux via a memory bug in a library used through sharp (CVE-2026-96889 / GHSA-2464-fhr4-w9xw, workaround sharp 0.35.5+). Also covers a high-severity Server Actions DoS (GHSA-p3m5-59mp-jv5r). Fixes ship in two supported Next.js LTS lines. No in-the-wild exploitation reported.
x.comadvisoryAdded 17 Oct 2026, published 16 Oct 2026π‘οΈ Security - Harrison Kinsley (@Sentdex) on X
Sentdex reacts to Artificial Analysis ranking NVIDIA's Nemotron 3.5 Super VL (120B total, 12B active MoE) as the top US open-weights model, scoring 26 on the Intelligence Index. That edges out Thinking Machines' Inkling Small (26), NVIDIA's Nemotron 3 Ultra (23) and Meta's Muse Glimmer (17). Sentdex's informal tests at vanilla settings show over 550 tok/sec, and they suspect it would rank higher on agentic coding. They see it as a candidate for a fast local coding agent model.
x.comthreadAdded 16 Oct 2026, published 15 Oct 2026π§ AI
X-RIC: An Agentic RAN-Intelligent Controller Benchmark for Enhancing Reinforcement LearningX-RIC (eXplainable RIC) is a framework that adds agentic reasoning to the O-RAN Near-RT RAN Intelligent Controller. It combines reactive reinforcement learning with automated behavioral cloning from domain heuristics, a transformer-based Telecom Language Model for contextual abstraction and interpretability, and closed-loop co-adaptation for continuous policy refinement. The paper also introduces BARX, a benchmark for agentic RAN control that measures latency, compliance and determinism. On SLA-aware network slicing, in simulation and on an O-RAN-compliant testbed, it reports 89% lower operational cost with SLA compliance kept, 75% faster convergence, 50% fewer training steps and 46% lower variance.
arxiv.orgpaperAdded 17 Oct 2026, published 15 Oct 2026π§ AI
Reaction Attack on CKKS Deployments with Asymptotically Optimal Query ComplexityShows a protocol-level reaction attack on CKKS homomorphic-encryption deployments that publish coefficient-to-slot (C2S) evaluation keys and let the client return a 1-bit validity response. A malicious evaluator shifts a public encryption key, uses the public C2S layer to repack it into a ciphertext whose validity depends on one secret coefficient, and recovers a ternary secret key with O(H) queries, within a factor 2/log2(3) of the entropy lower bound. Each query is re-randomized with a fresh encryption of zero to evade trivial detection. The authors implemented it end to end in Lattigo v6.2.0 and recovered full keys across four standard CKKS parameter sets. It does not break RLWE or CKKS IND-CPA security.
eprint.iacr.orgpaperPublished and added 15 Oct 2026π‘οΈ Security
[AINews] Meta Muse Wonder & Wonder Full: MSLβs Claude 5.5-tier Frontier ModelAINews daily digest (Oct 10β12, 2026) whose top story is Meta Superintelligence Labs' launch of Muse Wonder and Muse Wonder Full. The models have a 1M context window and are priced at $4 input / $20 output per M tokens for Wonder; Full is available only to Muse Code subscribers. It compiles third-party results: Artificial Analysis Intelligence Index v4.3 (Full 56, Wonder 52, Spark 1.3 48, Opus 5.5 58), Terminal-Bench 4.0 gains, Coding Agents Index, and Vals Index ranks. It also records Meta-reported numbers (SWE-Marathon, DeepSWE, MemoryBench), bullish and skeptical practitioner reactions, the "3D demo" benchmaxxing debate, and Muse retention data. The rest of the issue is a roundup of agent RL research (QwenGyre, Sakana MASS, GitSwarm), inference silicon (Maia 300, ReplaySSM), specialised models (GLM-Legal, Decision 3.0), and r/LocalLLaMA and other Reddit threads. The page text was truncated, so the end of the Reddit recap is not covered.
latent.spacearticlePublished and added 13 Oct 2026π§ AI- santosomar/AI-agents-for-cybersecurity
Companion repository for Omar Santos's Pearson and O'Reilly trainings and books. It has eight parts of runnable Python labs: chat models, embeddings, prompt templates, LCEL prompt chaining, Chroma-based RAG, ReAct/LangGraph/CrewAI/DeepAgents agents, and FastMCP servers (nmap, CISA KEV, Shodan). It also includes guides to six agentic frameworks (OpenClaw, Hermes, Agent Zero, OpenHands, Paperclip, Buzz), a tokenomics module on agent cost (context compounding, prompt caching, model routing, token budget guards, batch API, cost per accepted outcome), and a vendor-neutral design spec for a human-gated multi-agent assessment harness. It is a current, practical curriculum for building and operating agents. Some examples act on real systems and should only be run in an authorized lab.
github.comrepoAdded 13 Oct 2026π§ AI
Phillip Shoemaker (@pbsIdentity) on XSocial thread reacting to a newly disclosed high-severity OAuth vulnerability in the Model Context Protocol Python SDK, where a malicious MCP server could manipulate the authorization flow and steal credentials used by an agent. The author uses it to argue that delegated agent authority needs provenance (who granted it, to which agent, for which service and resource, whether it is transferable or replayable, and when it expires) and that machine-to-machine trust must be auditable by humans. Gives no CVE ID or technical exploit detail.
x.comthreadAdded 13 Oct 2026, published 12 Oct 2026π‘οΈ Security
AI Labsβ Call toA Galaxy Research newsletter piece dissecting Dario Amodei's essay "We Must Pace the Frontier," which proposed embedded third-party evaluators (e.g. METR), cross-lab safety coordination with antitrust waivers, and eventual global AI governance including China. The piece separates Amodei's "operational" (QA/pipeline) and "research" (alignment, interpretability, evals) problems from his "Democratic Coordination" ask, arguing the latter functions as a regulatory moat rather than a necessity, and draws a parallel to Sam Bankman-Fried/FTX-era effective-altruism rhetoric about unilateral existential-risk authority. It covers reactions from Sam Altman (agreeing to adopt evaluators), Trump (rejecting slowdown, citing the AI race with China), David Sacks (questioning METR's neutrality), and Mark Zuckerberg (citing Meta's unilateral delay of Muse and existing liability incentives as sufficient without an industry pact).
galaxy.comarticleAdded 8 Oct 2026π§ AI
CARES: A Controlled Synthetic Benchmark of Speaker Reactions to SoundCARES is a synthetic benchmark of 10,000 two-speaker audio scenes designed to test whether audio-language models correctly identify which sounds are 'salient' β defined as sounds a speaker audibly reacts to. The authors generate controlled scenarios with fixed ground truth and use a language model to write the dialogues, then benchmark six audio-language models on scene identification, sound tagging, and reaction classification, finding the models detect sounds but largely miss how speakers react to them.
arxiv.orgpaperAdded 8 Oct 2026, published 7 Oct 2026π§ AI
FREA: A Multi-Source Expert Benchmark for Reaction Feasibility VerificationFREA is a benchmark of 751 chemical reactions labeled by expert chemists for feasibility verification, drawn from retrosynthesis model proposals, zero-yield experimental records, LLM-generated edits, and five negative-candidate generation methods. The authors show no single verifier type (LLMs prompted with the feasibility criterion, dedicated forward models, or retrosynthesis scorers) dominates across all sources, and that adding generated negative examples to training improves mean AUROC but fails to transfer to retrosynthesis proposal screening. They also release a corpus of over 14 million recorded and generated reactions to support further training and evaluation of feasibility verifiers.
arxiv.orgpaperAdded 6 Oct 2026, published 5 Oct 2026π§ AI
Dave Gilbert (@docgotham) on XA Twitter/X thread reacting to OpenAI's announcement that ChatGPT Sites can now host MCP servers, including turning plugin extensions into deployable MCP servers (e.g. "@sites create a todo list that I can use in ChatGPT"). User Dave Gilbert (@docgotham) flags a concrete operational bug: with a ChatGPT Pro account, custom MCP servers can't be refreshed β disconnecting/reconnecting or even deleting and re-adding a server still serves the old cached plugin version after an update.
x.comthreadPublished and added 2 Oct 2026π§ AI- Julio Bandeira de Melo (@juliobmelo) on X
Two GitHub Actions from the actions-cool maintainer, disabled by GitHub security after May's supply-chain compromise, were reactivated by the maintainer and left accessible for over a week without the malicious release tags being cleaned up. Any workflow still referencing those version tags resumed automatically downloading and executing the Mini Shai-Hulud payload, showing that disabling a compromised action isn't remediation if the poisoned tags survive reactivation.
x.comthreadAdded 30 Sep 2026, published 28 Sep 2026π‘οΈ Security - Gihchathur/kubemotion
KubeMotion is a browser-only visualizer that turns raw Kubernetes YAML or a packaged Helm chart (.tgz) into an interactive, Argo CD-style dependency graph without ever connecting to a live cluster or executing Helm. Beyond visualization it runs rule-based checks for common deployment problems β missing probes, incomplete containers, missing selectors, missing service accounts, and mutable image tags β surfaced per-resource in an inspector panel, and can export the resulting architecture as a Mermaid diagram. Built with React, TypeScript, Vite, React Flow and CodeMirror; explicitly a read-only, credential-free tool for reviewing manifests/charts before they're applied.
github.comrepoAdded 21 Sep 2026π‘οΈ Security
Your Agent Aced the Task. Will It Do It Again?IBM Research's ALTK-Evolve blog post introduces "consistency guidelines," built on a new diagnostic called the Consistency Analyzer, which resamples an agent's own recorded trajectory to find flip-prone decision points without needing ground truth or a live replay. On AppWorld with a GPT-4.1 ReAct agent, they show a 24.4-point gap between Mean@5 (77.4%) and Pass^5 (53.0% β success on all 5 repeated runs), and demonstrate that injecting the generated guidelines halves that gap to 12.0pp while preserving or improving average accuracy, with gains that generalize to similar tasks and to a weaker model (gpt-oss-120b). The post argues Pass^k should be reported alongside Mean@k as a distinct, orthogonal measure of agent reliability, and links an open-source repo and arXiv technical report.
huggingface.coarticleAdded 29 Sep 2026, published 15 Sep 2026π§ AI- ruc-datalab/EvoOntology
EvoOntology is an open-source, self-evolving semantic ontology layer for data agents from Renmin University of China, exposed as MCP tools and installable as Claude Code and Codex plugins. It automatically builds a versioned ontology from tabular/file/database workloads, then continuously evolves it from agent execution trajectories using a build-use-evolve-evaluate-publish loop that validates candidate updates against a parent version before promotion. The accompanying paper reports gains over plain ReAct agents on DDR-Bench, InsightBench, and BIRD across GPT-5.5, GPT-5.6-sol, Claude-Sonnet-5, and Claude-Opus-4.8 backbones.
github.comrepoAdded 26 Sep 2026, published 15 Sep 2026π§ AI
Rapid Reaction: GitLab Critical Path Traversal Vulnerability (CVE-2026-85706)watchTowr's rapid-reaction analysis of CVE-2026-85706, a critical (CVSS 10.0) unauthenticated path traversal in GitLab CE/EE's repository commits API, patched in versions 19.3.2, 19.2.6, and 19.1.8. The flaw lets an unauthenticated attacker read arbitrary files (configs, secrets) from self-managed GitLab servers via crafted requests to /api/v4/projects/{id}/repository/commits/ with a file.path parameter; watchTowr reproduced the bug and reports honeypot probes indicating attackers have already reverse-engineered it ahead of mass exploitation.
watchtowr.comadvisoryAdded 21 Sep 2026, published 11 Sep 2026π‘οΈ Security
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