Knowledge catalogue
AIサイエンティストが示すような自律的な科学的発見の未来を実現し、現在の課題を乗り越えていくためには、最先端のML研究とプロダクトを繋ぐ強力なエンジニアリングが不可欠です。 https://sakana.ai/careers/#software-engineer-research-and-development 現在Sakana AIでは、研究開発を加速させるSoftware Engineer (
'Humanity's Last Gasp' is an AI news roundup from the Latent Space newsletter, likely covering significant developments in AI safety, existential risk discussions, or major industry milestones that pr
arXiv:2604.12875v1 Announce Type: new Abstract: The rapid expansion of large language model (LLM) safety evaluation has produced a substantial benchmark ecosystem, but not a correspondingly coherent m
arXiv:2604.12811v1 Announce Type: cross Abstract: Dense Associative Memory (DAM) generalizes Hopfield networks through higher-order interactions and achieves storage capacity that scales as O(N^{n-1})
arXiv:2603.21011v2 Announce Type: replace-cross Abstract: Finite element (FE) analysis guides the design and verification of nearly all manufactured objects. It is at the core of computational enginee
arXiv:2604.12335v1 Announce Type: new Abstract: Training multimodal large language models (MLLMs) for video understanding requires large-scale annotated data spanning diverse tasks such as object coun
Allbirds is abandoning its core footwear business and pivoting to AI compute infrastructure, backed by a $50 million convertible financing facility — more than double its prior market value. The move
Allbirds had a hit a decade ago with its Wool Runner shoes, but after a 4 billion IPO in 2021, the business never turned a profit, and sales dropped nearly 50 percent between 2022 and 2025. The compan
Allbirds, the sustainable footwear company known for its wool and eucalyptus-based sneakers, has reportedly rebranded or pivoted to position itself as an AI compute company, reflecting a broader trend
arXiv:2604.12162v1 Announce Type: new Abstract: The rapid deployment of AI agents in commercial settings has outpaced the development of evaluation methodologies that reflect production realities. Exi
Kirsten Korosec / TechCrunch: AMD, Arm, and Qualcomm invest 60M in London-based self-driving tech startup Wayve as part of an extension to its 1.2B Series D, announced in February — Chipmakers AMD, Ar
Vultr offers preemptible cloud instances powered by AMD Instinct GPUs, providing a cost-effective option for running GPU-accelerated workloads such as AI/ML training, inference, and high-performance c
arXiv:2604.12952v1 Announce Type: new Abstract: The Sauer-Shelah-Perles Lemma is a cornerstone of combinatorics and learning theory, bounding the size of a binary hypothesis class in terms of its Vapn
An undercover BBC investigation has found a ‘shadow industry of law firms and advisers is charging thousands of pounds to help migrants pretend to be gay in order to stay in the UK’. WE KNOW. We’ve al
Matt Burgess / Wired: Analysis: nearly 90 schools and 600 students globally have been impacted by AI-generated deepfake nudes; North America had nearly 30 reported cases since 2023 — An analysis by WI
arXiv:2604.12469v1 Announce Type: new Abstract: Fine-tuning is the dominant paradigm for adapting pretrained large language models (LLMs) to downstream NLP tasks. In practice, fine-tuning datasets may
Elon Musk posted a thank-you message on X to Taiwan Semiconductor Manufacturing Company (TSMC) and Samsung for their manufacturing support in producing a new AI chip. He indicated the chip would becom
This Reddit thread on r/StableDiffusion likely discusses user-reported problems and troubleshooting related to the training dataset for the Anima model — a 2-billion-parameter text-to-image model by C
arXiv:2406.01253v3 Announce Type: replace-cross Abstract: Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast dataset
Discover Vultr’s commitment to IT service management and data security with ISO 20000 and ISO 27001 certifications. Learn how Vultr ensures compliance with industry best practices and protects your da
Vercel has made anomaly alerts generally available, a feature that automatically detects and notifies users of unusual patterns in their application's performance metrics, such as unexpected spikes or
Jose Antonio Lanz / Decrypt: Anthropic rolls out identity verification that may require Claude users to provide a government-issued photo ID and live selfie to access “certain capabilities” — Anthropi
Anthropic PBC is making it easier to automate tasks using Claude Code without relying on autonomous artificial intelligence agents with the launch of a new service called “routines.” The routines allo
This Reddit post from r/StableDiffusion seeks community advice on optimal generation settings for using a character LoRA built on the FLUX.2 Klein model, which is a compact 4B–9B parameter model suite
ARC-AGI-3 is a new benchmark iteration designed so that any intelligent human applying genuine effort should achieve greater than 90% accuracy, maintaining the benchmark's core principle that tasks mu
This Reddit thread discusses the compatibility issues users face when attempting to run Ollama on macOS Big Sur (11.x), as recent versions of Ollama have shifted their minimum requirements — the curre
This Reddit thread from r/ChatGPT invites users to share their experiences using AI (such as ChatGPT) as a Dungeon Master for D&D, exploring how well the technology handles solo play, character creati
arXiv:2604.11950v1 Announce Type: cross Abstract: While recent LLM-based agents can identify many candidate bugs in source code, their reports remain static hypotheses that require manual validation,
Mark Gurman / Bloomberg: Apple endorses the ~$11.6B Amazon-Globalstar deal, citing a “proven track record” with Amazon infrastructure; Apple holds a ~20% stake in Globalstar — Amazon.com Inc.'s takeov
ARC-AGI-3 has the lowest human bar of any AI benchmark out there. Almost all benchmarks require specialized knowledge that make them inaccessible to 99%+ of humans (like, say SWE-Bench). ARC-AGI-3 is
This r/MachineLearning discussion examines a growing concern in the AI and gaming community: that certain video game 'simulators' may be deliberately designed — or repurposed — to harvest player actio
This r/ChatGPT thread explores the ongoing debate over whether AI hallucinations — where large language models confidently generate false or fabricated information — represent an inherent flaw or an u
arXiv:2603.10652v2 Announce Type: replace-cross Abstract: In real-world deployment, vision-language models often encounter disturbances such as weather, occlusion, and camera motion. Under such condit
arXiv:2604.12255v1 Announce Type: cross Abstract: Dynamic facial expression recognition in the wild remains challenging due to data scarcity and long-tail distributions, which hinder models from effec
arXiv:2604.12762v1 Announce Type: cross Abstract: We introduce ARGOS, the first benchmark and framework that reformulates multi-camera person search as an interactive reasoning problem requiring an ag
arXiv:2509.25749v2 Announce Type: cross Abstract: Virtual try-on (VITON) aims to generate realistic images of a person wearing a target garment, requiring precise garment alignment in try-on regions a
Six-month-old cybersecurity startup Artemis Global Technologies Inc. today disclosed that it has raised 70 million in funding. The capital arrived in two tranches. Felicis led the largest of the two t
Sharon Goldman / Fortune: Artemis, which aims to replace rule-based cybersecurity systems with an AI-driven centralized “brain”, emerges from stealth with a $70M Series A led by Felicis — Artemis, a n
arXiv:2604.12251v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) delivers high-fidelity real-time rendering but suffers from geometric and photometric degradations under sparse-view constr
arXiv:2604.12857v1 Announce Type: new Abstract: Autonomous vehicles (AVs) are now operating on public roads, which makes their testing and validation more critical than ever. Simulation offers a safe
As someone who teaches at a business school, I can tell you that the pre-professional student population (as opposed to liberal arts or those pursuing academia or a topic of personal excitement) is ex
arXiv:2509.25843v2 Announce Type: replace Abstract: Large language models (LLMs), despite being safety-aligned, exhibit brittle refusal behaviors that can be circumvented by simple linguistic changes.
Joanna Glasner / Crunchbase News: Asia's startup funding rose 93% YoY to 27.4B in Q1, the highest quarterly total in 3+ years, with Chinese startups raising 16.5B and Indian startups $3.8B — Asia's st
Arjun Kharpal / CNBC: ASML reports Q1 net sales of €8.8B, above €8.5B est., a €2.8B net profit, above €2.5B est., and raises 2026 net sales forecast to €36B to €40B from €34B to €39B — ASML raised its
Sarah Jacob / Bloomberg: ASML says South Korea surpassed China as its largest market in Q1 2026, with shipments hitting 45% of net system sales, or €2.84B, up from 22% in Q4 2025 — South Korea emerged
arXiv:2510.01186v2 Announce Type: replace Abstract: While existing video editing methods excel with single subjects, they struggle in dense, multi-subject scenes, frequently suffering from attention d
arXiv:2604.12274v1 Announce Type: new Abstract: A class of planar bipedal robots with unique mechanical properties has been proposed, where all links are balanced around the hip joint, preventing natu
A Reddit post on r/ChatGPT expressing long-standing user frustration with ChatGPT's audio playback functionality, including issues with the 'Read Aloud' feature such as audio looping, stopping mid-pla
arXiv:2604.12480v1 Announce Type: cross Abstract: In Gaussian model-based multichannel audio source separation, the likelihood of observed mixtures of source signals is parametrized by source spectral
Quantum computing is emerging as a practical complement to traditional supercomputing, with early applications in optimization, machine learning and complex simulation now moving from theory into real
arXiv:2507.11081v3 Announce Type: replace-cross Abstract: Ground penetrating radar (GPR) has become a rapid and non-destructive solution for road subsurface distress (RSD) detection. However, recogniz
arXiv:2604.11945v1 Announce Type: cross Abstract: High-fidelity numerical simulation of subsurface flow is computationally intensive, especially for many-query tasks such as uncertainty quantification
Cybersecurity asset management startup Axonius Inc. today unveiled three expansions to its Asset Cloud platform that see the addition of artificial intelligence-driven remediation, extended coverage t
llama.cpp build **b8796** is the latest release of the project as of April 15, 2025, identified by commit `fae3a28`. The primary change in this build is the removal of `ggml-ext.h` from the ggml libra
Build b8797 is a sequentially numbered incremental release of llama.cpp, the open-source C/C++ library for local LLM inference maintained by ggml-org on GitHub. As part of llama.cpp's rapid, continuou
Build **b8798** is an incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ framework for running large language model inference locally and in the cloud. Li
Build **b8799** is an incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ framework for running large language model inference locally and in the cloud. Li
**b8802** is a numbered incremental build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference locally and in
Build b8804 is an automated incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ framework for local LLM inference. Like all llama.cpp builds, it is trigger
**b8806** is a sequential build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference locally. Like other numbe