256 results for “Mage”

Alpine Linux rebuilt its GitLab server and reset all passwords after attackers tried to exploit CVE-2026-97229, a maximum-severity integer overflow in the Onigmo regex engine bundled with Ruby, on October 20-21. Eight worker crashes occurred and four were partially successful. Missing logs and outbound connection records meant compromise could not be ruled out. Alpine had run GitLab 19.3.4, then 19.3.6, which lacked the Ruby patch; the fixed image is alpinelinux/gitlab:19.3.6 with Ruby 3.3.13.

bleepingcomputer.comarticlePublished and added 1 Nov 2026🛡️ Security

Hyperflow H3 is Video Rebirth's 8-step LoRA for MiniMax H3, released in September 2026 with open weights. Artificial Analysis ranks it #5 on AA-Video-I2V v2.1 and #3 on AA-Video-Editing v1.1, ahead of MiniMax H3 (768p). It costs $9.00 per minute for Image to Video and $18.00 for Video Editing at 1088p, under half of Dreamina Seedance 2.5 ($34.12 and $40.82). The thread gives per-capability and per-use-case breakdowns.

x.comthreadAdded 31 Oct 2026, published 30 Oct 2026🧠 AI

Oversecured Apps Care, Part 1 (21 March 2024) publishes scanner results for about 224 Google Android apps, drawn from a wider scan of over 6,000 public APKs from 1,000+ companies. Tables per device image (phone, Wear OS, Android Automotive, Android TV) give package names, three finding counts and report links, including android, com.android.settings, gms and Play Store. It invites researchers to report issues to Google for rewards.

oversecured.comarticleAdded 29 Oct 2026🛡️ Security

Oversecured guide to SDK security in mobile apps, built around Microsoft's April 2026 disclosure of an intent redirection flaw in EngageLab's EngageSDK (50 million installs, fixed in 5.2.1). It covers SDK attack surfaces (exported components, WebViews, deep links, hardcoded secrets, payment crypto), a canhub image cropper file-overwrite example, why source-only SAST misses SDK code, and MASVS and PCI DSS expectations.

oversecured.comarticleAdded 29 Oct 2026🛡️ Security

RADIOlogy is a training-free, single-pass zero-shot anomaly detection method that uses multi-head attention pooling in vision-language models. It scores anomalies by contrasting average similarity between vision features and sets of normal and abnormal prompts, with no windowed execution. RADIO agglomerative features drive a dense refinement pipeline for pixel-level segmentation, and the method is applied to medical images.

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

PhysCount is a benchmark of 546 real-world images and 4,595 human-written questions in 651 target-specific groups. It tests whether multimodal LLMs can separate visible appearances (direct view, reflections, glass) from the physical entities behind them. Across 40 MLLMs, counting appearances is much easier than linking them to entities, and the best model answers every question correctly in only 13.36% of groups.

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

inkGround is a benchmark for stroke trajectory recovery from full-page, camera-captured handwriting, with 537 page images (about 18.7k words, 163k strokes) and pseudo-label references filtered by OCR agreement and human raters. Models get a page image and a target word, then output ordered stroke points. Seven VLMs were scored with DTW, Chamfer distance, readability and style similarity. Closed-source models, notably Gemini-3.1-Pro, did best, and the ranking held on IAM-OnDB.

arxiv.orgpaperAdded 30 Oct 2026, published 28 Oct 2026🧠 AI

Beyond the Event Horizon of Keccak extends a 2011 observation that a path in the Keccak sponge from a zero-capacity state back to one yields infinite second-preimage families. Three theorems cover loops from any capacity value x, k-block loops and cycles, and Joux-style multicollisions with search cost independent of k. Verified examples run on Keccak-f[200] and Keccak-f[1600] with c=32; it also proposes bridge-based protocols.

eprint.iacr.orgpaperPublished and added 28 Oct 2026🛡️ Security

CISA alert of 27 October 2026 adding two vulnerabilities to the Known Exploited Vulnerabilities (KEV) Catalog on evidence of active exploitation: CVE-2026-48356, an unrestricted upload of a dangerous file type in Adobe Commerce and Magento, and CVE-2026-111497, an unchecked return value in Google Brotli. It restates BOD 26-04, which makes federal civilian agencies prioritise KEV flaws on exposed assets and check for prior compromise. No technical detail or IOCs are given.

cisa.govadvisoryAdded 29 Oct 2026, published 27 Oct 2026🛡️ Security

Know, then Draw is a learning paradigm for visual generation that uses autoregressive pretraining to acquire semantic knowledge and diffusion post-training for high-fidelity rendering. Controlled comparisons find autoregression the stronger pretraining objective, and semantic quality matters more than AR-only generation quality. This motivates a purely semantic tokenizer trained with language supervision only. A 3B text-to-image model trained in 6,600 H100 GPU-hours scores 86 on GenEval and 87 on DPG-Bench.

arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026🧠 AI

This paper presents an annotated egocentric tennis dataset (egocentric video synced with five allocentric views, global positions, contact times, stroke types) and evaluates image encoders, video encoders and vision-language models on seven prediction tasks. Best models reach 0.14 m player and 0.54 m ball localization error and 0.14 s contact-time error. Depth input helps 3D ball localization, and longer histories do not help forecasting. A conditional diffusion model generates whole-body tennis motion in real time.

arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026🧠 AI

This paper studies how multimodal LLMs refuse questions that an image cannot answer, using the MoHoBench benchmark on three MLLMs. It varies the meaning and placement of refusal instructions, compares supervised and preference-based post-training, and intervenes on a refusal-related activation direction. Instructions change refusal at the sample level in ways aggregate rates hide. Post-training raises refusal most but can mix refusal with attempted answers. Activation intervention gives smaller, transferable changes.

arxiv.orgpaperAdded 28 Oct 2026, published 27 Oct 2026🧠 AI

Hi3D v1.0 (formerly Sparc3D) is an open-sourced image-to-3D model from Hi3D, which runs a closed v3.0 refining at 2048 cubes per side. In a test with 13 professionals in 3D algorithms, 562 judgments against eight other image-to-3D models favoured it 83.5% of the time. The thread also covers the Hi3D Agent and an MCP server for other agents. Back and bottom views were checked, where TRELLIS.2 collapsed a winged figure.

x.comthreadAdded 28 Oct 2026, published 27 Oct 2026🧠 AI

Aikido Images are free patched PHP container images on public ECR (public.ecr.aws/aikido-dev/php) that backport the PHP2Shell fixes for CVE-2026-109618 and CVE-2026-109619 into release lines 5.5 to 8.5, except 8.0. Upstream fixed 8.2 to 8.5 in October 2026 and left 8.1 and older unpatched. The post shows docker pull and Dockerfile FROM changes, then rebuild, restart, session.upload_progress.enabled=0 and compromise checks.

aikido.devarticlePublished and added 26 Oct 2026🛡️ Security

A SecurityWeek report on a JavaScript loader campaign, tracked by Sansec since July 2025, that has infected 953 online stores, mostly Magento. The actor rotated through five loader domains, the latest being deepveindrilling.com (October 2026) behind Cloudflare, with visitor fingerprinting to hide the payload. Entry points include PolyShell (CVE-2026-48356) and SessionReaper (CVE-2025-54236), and a fully patched store was also infected. Sansec lists cleanup steps.

securityweek.comarticlePublished and added 26 Oct 2026🛡️ Security

RoSA is a finetuning framework from Qiuyu Kong and three co-authors for long-text image-text retrieval. It targets "saliency collapse", where models over-rely on text tied to prominent visual features and miss contextual information. RoSA splits pairs into salient and contextual views using object-level saliency estimation and LLM text decomposition, then trains on both with plug-and-play auxiliary alignment objectives. Code and checkpoints are public.

en.cryptonomist.charticlePublished and added 26 Oct 2026🧠 AI

A dermatologist tested GPT-6 Astra and Claude Fable 5.1 on 200 biopsy-proven lesions from MILK10k, giving each a clinical and a dermoscopic image. A CNN (Inception v3, fine-tuned for about twenty minutes on 68,011 ISIC images) named the right diagnosis for 62% of lesions, against 42% for both LLMs. The post lists caveats (small sample, single run, possible contamination) and links the cases, prompts, replies and scoring code.

lynchlab.netwriteupAdded 26 Oct 2026, published 25 Oct 2026🧠 AI

Falko Strenzke's ePrint 2026/2635 presents a multi-target second-preimage attack on message hashing in HSS/LMS and XMSS with SHA-256 and SHA-256/192. It herds chaining states from many collected signatures into one state, defeating the key and leaf-index prefix. With 2^64 signatures, SHA-256 cost falls from 2^256 to about 2^166 (2^156 at maximal message length). SHAKE256 parameter sets are unaffected.

eprint.iacr.orgpaperAdded 26 Oct 2026, published 25 Oct 2026🛡️ Security

Hash-only rollup: an OP Stack L2 (chain ID 42069000, live since 30 September 2026) where accounts are keccak-256 hash chains and transactions carry no signatures. Spending uses a commit-reveal step through two new transaction types in op-geth. The post describes a flaw the authors found: unauthenticated commits could be overwritten, which allowed preimage front-running. It was fixed with a first-commit-wins rule on 21 October 2026. It lists the remaining limits: L1 ECDSA, no fault proofs, a centralized sequencer, 160-bit addresses and wallet desync.

ethresear.charticlePublished and added 24 Oct 2026🛡️ Security

Corgi is a terminal multiplexer for humans and AI coding agents, installed with a curl script. It shows each agent's state (working, needs you, finished, idle), keeps agents running in the background like tmux, and tracks token usage, per-workspace resource use and every file an agent changed. It also supports git worktrees, SSH image paste (needs Ghostty Nightly) and a corgi --skill command that teaches agents to drive it.

corgi.computertoolAdded 24 Oct 2026, published 23 Oct 2026🧠 AI

Microsoft's analysis of the LiteLLM 1.107.0 compromise, published to PyPI and container images on 21 October 2026. The wheel shipped cook.pth, cook.py and sitecustomize.py, so a credential collector (PRIVCOLLECT) ran whenever Python started, even without importing LiteLLM. It covers AES/RSA-encrypted exfiltration to litellm.dev, a re-armable Unix loader, Defender KQL hunting queries, ATT&CK mapping and rotation guidance.

microsoft.comwriteupPublished and added 23 Oct 2026🛡️ Security

OWLS (Open-world Language-conditioned Speed Fields) plans directly over a vision-language model's dense feature map. A text prompt describing traversable terrain scores every pixel of one camera image. The scores are projected onto the ground, adapted with two morphological operations, and used as the speed field of a minimum-time planner. It needs no training, terrain labels, map or extra sensors. It was tested on a physical rover, on simulated Mars and Moon rovers over 200 procedural terrains, and on real planetary imagery.

arxiv.orgpaperAdded 26 Oct 2026, published 23 Oct 2026🧠 AI

DeepFaune-UK is a fine-tune of the open DeepFaune camera-trap classifier on 28 UK classes, paired with MegaDetector v6. On 20,212 MammalWeb images it reached 88.8% strict accuracy against 56.5% (DeepFaune v1.5.0) and 59.0% (SpeciesNet). Re-applying the recipe to the DINOv3-based classifier gave 90.6%. Fine-tuning on about 150 crops per class matched full-data out-of-distribution accuracy, and a DINOv2 run took about 22 minutes on under 4 GB of GPU memory.

arxiv.orgpaperAdded 26 Oct 2026, published 23 Oct 2026🧠 AI

UAV-SwarmAgent is a hierarchical multi-agent system where an operator gives one natural-language sentence and a ground-station agent writes and runs code that produces per-UAV routes. A vision-language model grounds targets in an aerial map, and worker agents verify incidents with a compact onboard model. In simulation it located the incident in 244 of 255 missions (95.7%), and flight time followed an Amdahl-type law with speedup bounded at 1.52x for one to five UAVs.

arxiv.orgpaperAdded 26 Oct 2026, published 23 Oct 2026🧠 AI

PHP2Shell is Calif's writeup of pre-auth RCE in PHP (CVE-2026-109618, CVE-2026-109619) triggered by memory_limit fatal errors that leave dangling state. It covers a HashTable bucket bug in _zend_hash_str_add_or_update_i, a Session upload-progress stale-pointer bug, and an unserialize destructor-list primitive that reaches PHP-FPM. It lists affected apps (WordPress, Drupal, Joomla, Magento and others) and gives temporary mitigations.

calif.iowriteupAdded 23 Oct 2026🛡️ Security

Decode-time provenance binding is a defense for Model Context Protocol agent pipelines against cross-modal trust laundering, where instructions hidden in an email-signature image via LSB, DCT or metadata steganography get decoded by a tool. It combines HMAC-authenticated trust labels, a provenance ledger and context-taint tracking to block critical tool calls. On a real MCP testbed with 24 adaptive payloads, attack success fell from 100% undefended (62.5% for keyword and regex filters) to 0%.

arxiv.orgpaperAdded 26 Oct 2026, published 22 Oct 2026🛡️ Security

The Decisions API is an OpenAI endpoint, built on GPT-6 Luna, that answers bounded questions about text, images or native JSON inputs, up to 10x faster than Luna through the Responses API. It returns a probability (predicate), a choice or a score. It is generally available, accepts up to 400 questions per request, and costs $0.10 per million input tokens with no output charges.

openai.comarticlePublished and added 22 Oct 2026🧠 AI

F2G-Pose is a direct, single-pass framework that predicts category-level object pose, metric size and camera-frame completed shape from one RGB-D image. It lifts frozen RADIO foundation features onto partial point clouds, tokenizes local geometry with DGCNN, and fuses it with a Mixture-of-Experts Transformer. It trains only on synthetic SOPE data, leads on SOPE and ROPE at 28 FPS, and is tested on HouseCat6D, HANDAL and real manipulation.

arxiv.orgpaperAdded 24 Oct 2026, published 22 Oct 2026🧠 AI

TRIAD is a benchmark for omni-modal ambiguity resolution. It has 327 hand-written text-image-audio queries in 86 scene groups across 18 ambiguity categories, and removing any one modality makes the answer non-unique. Across 14 omni-modal systems, the best model trails humans by over 20 points in group accuracy. Without answer options, model group accuracy falls to single digits, and leave-one-out tests show audio cues are often underused.

arxiv.orgpaperAdded 23 Oct 2026, published 22 Oct 2026🧠 AI

OpenAI CLI is OpenAI's official Go command-line client for the REST API. It lets users generate images, upload and download files, create and wait on batches, call the Responses API, and query admin usage endpoints from a terminal or shell script. It supports JSON, JSONL and YAML output, GJSON transforms, shell completion, and install via Homebrew, go install or release binaries.

github.comrepoAdded 23 Oct 2026, published 22 Oct 2026🧠 AI

The PHP Foundation's October 21, 2026 postmortem says Chainguard broke an embargo by publishing patched PHP container images over six hours before the coordinated release of fixes for CVE-2026-109618 and CVE-2026-109619, two critical RCE flaws. The piece covers the leaked CVE IDs, Calif's accidentally published exploit video, Chainguard CEO Dan Lorenc's defence citing exploitation in the wild, and the 2024 origin of the memory management bug.

socket.devarticlePublished and added 21 Oct 2026🛡️ Security

The PHP Foundation explains the 21 October 2026 release of PHP 8.5.12, 8.4.27, 8.3.36 and 8.2.35, which fix two critical unauthenticated RCE flaws in memory management and error handling, including an OOM problem behind CVE-2026-109618. It covers the 2024 Quarkslab audit, the stalled fix, the August 2026 reports from Calif, OpenAI and Wiz, and the embargo leaks (CVE IDs, a Calif video, Chainguard images). It also lists new security team structure and AI-assisted triage.

thephp.foundationarticleAdded 22 Oct 2026, published 21 Oct 2026🛡️ Security

LiteLLM 1.107.0 on PyPI shipped malware in all 7 wheels, the package's second supply-chain attack this year. It steals SSH keys, cloud credentials, browser passwords, AI tool configs and API keys, and installs a backdoor that polls for commands hourly. The GitHub source is clean, so a hijacked build or publish step is suspected. PyPI quarantined the release, but Aikido says the Docker image litellm/litellm:1.107.0 was still live. Indicators are cook.pth, cook.py and sitecustomize.py in site-packages. The advice is to rotate reachable keys and pin 1.106.2.

x.comthreadAdded 23 Oct 2026, published 21 Oct 2026🛡️ Security

LiteLLM version 1.107.0 was uploaded to PyPI on 21 October 2026 with a credential stealer, and the same build reached GHCR and Docker Hub images. Wiz describes the three dropped files (cook.pth, cook.py, sitecustomize.py), exfiltration to a fake litellm.dev domain, a GitHub dead drop for a second stage, and the malicious commits pushed through the lookalike Berri-AI repository. The last safe version is 1.106.2.

wiz.iowriteupPublished and added 21 Oct 2026🛡️ Security

LiteLLM 1.107.0 on PyPI and GHCR images shipped Python startup hooks (cook.pth, sitecustomize.py) that steal cloud, SSH, browser and AI-tool credentials, including LiteLLM proxy database credentials. Image build provenance recorded a lookalike Berri-AI/litellm source repository. The post decodes the payload, encrypted exfiltration and GitHub-driven remote loader, and lists containment steps, MITRE ATT&CK mappings and IOCs.

socket.devwriteupPublished and added 21 Oct 2026🛡️ Security

LiteLLM 1.107.0 was compromised on 21 October 2026: the seven compiled PyPI wheels and the official Docker image carried an infostealer and a RAT. The attacker used the maturin `data = "cook"` directive in pyproject.toml to inject cook.pth, cook.py and sitecustomize.py without touching the source repo. The post lists stolen data, the hourly C2 polling via GitHub, wheel hashes, file and network IOCs, and check steps.

aikido.devwriteupPublished and added 21 Oct 2026🛡️ Security

MPIDetector is a detection framework for multi-modal prompt injection that uses few-shot in-context learning so an LLM can reason about the semantic intent of text and image inputs, without fine-tuning. The authors built a benchmark of eight textual and seven visual attack categories plus benign sets. They report up to 90.91% accuracy on text, 99.28% on images, and up to 99.80% detection on 500 obfuscated WebInject web-agent injections, beating baselines.

arxiv.orgpaperAdded 24 Oct 2026, published 21 Oct 2026🛡️ Security

LiteLLM version 1.107.0 was published to PyPI and official Docker images on 21 October 2026 and stayed live for about two hours. Attackers used stolen GitHub CLI OAuth tokens from three engineers to run the release pipeline against a lookalike fork, Berri-AI/litellm. The payload (cook.pth, cook.py, sitecustomize.py) steals cloud, developer, AI-tool and browser credentials, and includes a polling RAT. The post lists removal and rotation steps.

securitylabs.datadoghq.comwriteupAdded 29 Oct 2026, published 21 Oct 2026🛡️ Security

Krea 3 is an image generation and editing model from Krea. A post on X says its "Fast" variant scores 1125 Elo on the Artificial Analysis image editing leaderboard, against 1124 for Google's Nano Banana 2, while producing 10 images in the time Google produces 2. It also says the "Ultra" variant ranks in the top 4, behind only OpenAI models. The post gives no methodology or model details.

x.comthreadAdded 21 Oct 2026, published 20 Oct 2026🧠 AI

AnomalyAgent is a post-training fusion framework for visual anomaly detection that ensembles pretrained detectors. It aligns scores and anomaly maps, summarizes disagreement, and treats fusion as a choice among score actions and map actions. A constrained vision-language model inspects high-conflict samples and picks the actions. It beats equal-weight fusion and gets the best mean image AUROC and pixel AP among compared fusion methods on MVTec AD and VisA.

arxiv.orgpaperAdded 22 Oct 2026, published 20 Oct 2026🧠 AI

Code2Video-Compass is a benchmark of 2,104 tasks for code-based video generation, where multimodal LLMs write executable programs that produce complete videos from text (T2V), image (I2V) or video (V2V) inputs. Tasks span 10 categories and 24 subtypes. Scoring uses 12 objective metrics and five MLLM-judge metrics. Across 15 proprietary and open-weight models from nine families, performance falls as construction, dynamic animation and state-dependency complexity rise.

arxiv.orgpaperAdded 22 Oct 2026, published 20 Oct 2026🧠 AI

Jev Cards is a browser picture quiz where a player competes against Jev 1.14, a vision decision model. The 490 cards cover fruit, flags, maps, chess and illusions. Jev reads the image and question and returns a probability for every option, or a box for "tap the place" cards, in one call of about 0.25 seconds. It never writes text. The page reports 5,256 wins in 6,820 games.

jevcards.comtoolAdded 21 Oct 2026, published 20 Oct 2026🧠 AI

This paper presents a multimodal engineering GraphRAG framework that links post-wind-event damage evidence from images and reconnaissance reports to building-condition states, recovery actions and downtime. Evidence is stored as a provenance-preserving, component-level representation, and graph-aligned retrieval uses compatibility, contradiction, evidence-precedence and abstention checks. Demonstrated on tornado-affected low-rise homes, it beats BaselineRAG and Structured Baseline RAG, and ablations test each component.

arxiv.orgpaperAdded 22 Oct 2026, published 20 Oct 2026🧠 AI

AnyLanguageModel 1.0 is a Swift package that gives apps Apple's Foundation Models API across the system model, llama.cpp, MLX, Core ML and hosted providers. This release post covers tool calling and guided generation on every provider, image input, and hosted support for OpenAI, Anthropic, Gemini, Ollama and Hugging Face Inference Providers. It also ships swift-huggingface 1.0 and swift-xet 1.0, and lists small open-weight models that fit on iPhone and Mac.

huggingface.coarticlePublished and added 20 Oct 2026🧠 AI

Decrypt reports that Anthropic will commit 5% of its shares to a Public Benefit Fund, structured as a wholly owned LLC, subject to stockholder approval. About 20% of its stock would go to public causes once founder and employee pledges are counted. The article also covers Anthropic's draft AI safety bill, which lets the government block models risking over 50 deaths or $1 billion in damage, and Elon Musk's pledge of one SpaceX share per US child.

decrypt.coarticlePublished and added 19 Oct 2026🧠 AI

OpenVLHarness is a multimodal reasoning harness for MLLMs built on a capability layer (task-level tool interfaces plus evidence rendering) and persistent multimodal memory that stores images, structured data and web references as addressable artifacts. A coding interface runs generated programs over stored data. Across 22 benchmarks and eight backbones it adds 9.7-12.6 points over no-tool baselines, and GPT-6 Luna at medium effort beats Codex and Visual Sketchpad at maximum effort using at most 37% of their tokens.

arxiv.orgpaperAdded 21 Oct 2026, published 19 Oct 2026🧠 AI

Clairic is Cloudflare's preview System One extraction model, hosted on Workers AI as @cf/cloudflare/clairic, with open weights planned. It reads text or images in one forward pass and returns typed values with spans, confidence, p_null, 80% intervals for estimates and forecasts. A claim-handling cascade with Clef and GLM-5.3 ran in 19.3 seconds against 61.7 for an all-LLM version.

blog.cloudflare.comarticleAdded 29 Oct 2026, published 19 Oct 2026🧠 AI

Ethresear.ch post porting Tornado Cash to Flock, a post-quantum binary-field SNARK, proving a depth-32 SHA-256 withdrawal in about 19.5 ms (203.6 KiB proof), with recursive aggregation at about 0.68 s per withdrawal. It also proposes a ZIP 2005-inspired recovery protocol: wallets derive note secrets from a seed, the pool freezes on a discrete-log break, and users withdraw through a post-quantum verifier. Security is argued under an epoch assumption, with Grover-bounded pre-image attacks.

ethresear.charticlePublished and added 19 Oct 2026🛡️ Security

DeepSeek V4.1 Flash 1017 (Max) is an open-weights reasoning MoE model from DeepSeek with 552B total and 16B active parameters, a 1M-token context window, text and image input, and an MIT license. Artificial Analysis scores it 45 on its Intelligence Index (open-weights median 19), at $0.30 input and $1.20 output per 1M tokens, 216 tokens per second, and 210M tokens used in the evaluation. It is available through 10 API providers.

artificialanalysis.aiotherAdded 20 Oct 2026, published 19 Oct 2026🧠 AI

Tom's Hardware reports, citing Politico, that Anthropic is lobbying for a federal AI safety bill based on its Advanced AI Framework. The Commerce Department could seek to block a model release only if it risks $1 billion in damages or more than 50 deaths or injuries. Registered third-party evaluators would report risks within 72 hours, and a D.C. federal judge would decide. Commenters call it regulatory capture.

tomshardware.comarticleAdded 19 Oct 2026, published 18 Oct 2026🧠 AI

Listing for the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served as `deepseek-flash`. It is a sparse mixture-of-experts model on DeepSeek's new Causal Encoder-Decoder (CED) architecture: 552B total parameters, 8B active on input and 16B on output, with native joint image/text pretraining and compressed KV caching that cuts cache memory to about a quarter of the prior Flash generation. It has a 1,048,576-token context and up to 131,072 output tokens, supports tool calling and JSON-schema structured outputs, and costs $0.08/M input and $0.50/M output tokens. Eight providers serve it on OpenRouter. DeepSeek positions it for coding, terminal and computer-use agents and long-horizon tasks, and claims it beats V4 Pro.

openrouter.aiotherAdded 18 Oct 2026, published 17 Oct 2026🧠 AI

Model card for DeepSeek-V4.1-Flash-1017, a minor update to DeepSeek-V4.1-Flash with MIT-licensed weights. It claims gains in reasoning, coding, agentic tasks and visual benchmarks, with shorter task time and output length that move the performance–cost Pareto frontier across agent harnesses (Claude Code for Terminal-Bench 4.0, Mini-SWE-V2 for DeepSWE v1.1). It ships no Jinja chat template. It provides a reference encoding.py for multi-turn chat, tool calling, thinking mode, numeric reasoning effort and interleaved images, plus deepseek-recipe, Rust libraries with Python bindings for prompt encoding and output parsing. Serving recipes are given for Transformers, vLLM, SGLang and Docker Model Runner.

huggingface.corepoAdded 18 Oct 2026, published 17 Oct 2026🧠 AI

AINews issue for 10/15–10/16/2026, covering Twitter and Reddit. It covers the open-weights releases Meta's Muse Spark Open (816B/42B-active MoE, AA Intelligence Index 39, custom license) and Reflection Beam 1.0 (501B/23B-active, Apache 2.0), plus NVIDIA Nemotron 3.5, StepFun Step 5 Preview and FLUX 3 Image Klein. It also covers Gemini 4 Argon, Haiku 5.5 pricing, "decision model" classifiers (Liquid d1-ultra, Perplexity pplx-decider), TPUv7/Vera Rubin/MI355X serving benchmarks, interpretability claims (Qwen3-32B neuron audit), agent research, eval-integrity and safety disclosures, and China export-control proposals. The page also announces a pilot video show, High Taste Testers Ep. 1.

latent.spacearticlePublished and added 17 Oct 2026🧠 AI

Galaxy Research essay arguing that as AI agents become the main way people use the web, the key question shifts from "is this a machine?" to "is a distinct real person behind it, counted once?". It traces CAPTCHA history (distorted text, image puzzles, reCAPTCHAv3 and Turnstile behavioral scoring) and notes ChatGPT Agent passing Cloudflare's checkbox. It reviews Web Bot Auth signatures and Google's AP2 payment mandates, showing both stop at the platform or key and never establish a person. It then covers harms (one-person-one-share abuse, no one to answer for an agent, distorted public counts, collapsing confidence, scaled deception, broken ad economics) and lists the properties a privacy-preserving proof-of-personhood credential needs: strong, private, portable, delegable, accessible.

galaxy.comarticleAdded 16 Oct 2026🧠 AI

PS5LM is a homebrew app for jailbroken PS5s (firmware 7.00–13.60). It runs llama.cpp with the ggml-vulkan backend on the console's RDNA 2 GPU, using 11.4 GB of shared memory, and loads any GGUF model. It serves OpenAI /v1/chat/completions, Anthropic /v1/messages (usable from Claude Code, Codex and opencode) and a browser chat page on port 8081. It also supports image-projector vision models and TypeSafe-style decision models through a /v1/systemone endpoint. A planner picks the longest context and best cache that fit the free memory, and the app downloads models from Hugging Face.

github.comrepoAdded 17 Oct 2026, published 16 Oct 2026🧠 AI

FedRAPP is a personalized aggregation framework for Source-Free Federated Test-Time Prompt Tuning (SF-FTTPT), where clients adapt CLIP soft prompts on unlabeled, non-IID test streams without source data. It combines reliability-aware client assessment, a server-side exponential moving-average prompt memory and similarity-guided peer aggregation. Across nine CLIP benchmark datasets and ImageNet variants it beats standard federated aggregation baselines while keeping prompt-only efficiency.

arxiv.orgpaperAdded 20 Oct 2026, published 16 Oct 2026🧠 AI

Tweet from 0xBunny announcing an update to Jev Workflows, an open-source workflow toolkit. It adds native Claude Code support alongside Codex, an opt-in Jev 1.14, experimental image/Box questions, shared QQ contract sync and local CI. Features were also mirrored to a sibling project called QQ. It is free, with no plugin quotas, and links to a GitHub repo.

x.comthreadAdded 17 Oct 2026, published 16 Oct 2026🧠 AI

LILIE (Language-Informed and Lossless Image Encoder) is an invertible image transform built from a normalizing flow transformer, trained jointly with a vision-language model via next token prediction so captions can be recovered from noised features. The encoder supplies a language-informed loss for text-to-image generation. JiT models trained with it cut gFD from 66.84 to 53.01 against a pixel-only baseline on the GPIC dataset. Code, encoders and models are released.

arxiv.orgpaperAdded 20 Oct 2026, published 16 Oct 2026🧠 AI

This paper presents a multimodal retrieval-augmented generation framework for Medical Visual Question Answering. A Gated Multimodal Unit learns a joint query representation from the medical image and the clinical question, so evidence retrieval uses both modalities while the Med-LVLM stays frozen. On benchmark datasets it consistently beats a reference Med-LVLM and stays competitive with state-of-the-art methods. The page gives no dataset names or numbers.

arxiv.orgpaperAdded 20 Oct 2026, published 16 Oct 2026🧠 AI

A tweet from AmingIn_AI describes a macOS screenshot-annotation tool. On release it saves the screenshot, a crop and the user's marks locally, then copies a 127.0.0.1 link. Claude Code or Codex on the same Mac can fetch that link and receive the marked image plus app/window info, and nothing is uploaded. It shows a local, privacy-preserving way to hand visual context to coding agents without MCP or cloud upload.

x.comthreadAdded 17 Oct 2026, published 16 Oct 2026🧠 AI