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Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing4h◆Photonic reservoir computing with complex networks4h◆XS-VLA: Coupling Coarse-grained Spatial Distillation with Latent Flow Matching for Lightweight Robotic Control4h◆Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents4h◆Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks4h◆The One-Word Census: Answer-Choice Conformity Across 44 Language Models4h◆Creative Integration: A Decidable Criterion of Creativity4h◆BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi4h◆Joint Optimization for Greedy Longest-match Tokenization4h◆Kimi K3: Open Frontier Intelligence4h◆The Few-shot Dilemma: Over-prompting Large Language Models4h◆Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism4h◆Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram4h◆StageGuard: Physiologically Constrained Sleep Staging4h◆Soft-Constrained Optimization of Latent Space in Variational Autoencoders4h◆Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment4h◆Analyzing the Importance of Blank for CTC-Based Knowledge Distillation4h◆Predicting Channel Closures in the Lightning Network with Machine Learning4h◆Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures4h◆MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback4h◆Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing4h◆Photonic reservoir computing with complex networks4h◆XS-VLA: Coupling Coarse-grained Spatial Distillation with Latent Flow Matching for Lightweight Robotic Control4h◆Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents4h◆Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks4h◆The One-Word Census: Answer-Choice Conformity Across 44 Language Models4h◆Creative Integration: A Decidable Criterion of Creativity4h◆BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi4h◆Joint Optimization for Greedy Longest-match Tokenization4h◆Kimi K3: Open Frontier Intelligence4h◆The Few-shot Dilemma: Over-prompting Large Language Models4h◆Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism4h◆Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram4h◆StageGuard: Physiologically Constrained Sleep Staging4h◆Soft-Constrained Optimization of Latent Space in Variational Autoencoders4h◆Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment4h◆Analyzing the Importance of Blank for CTC-Based Knowledge Distillation4h◆Predicting Channel Closures in the Lightning Network with Machine Learning4h◆Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures4h◆MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback4h◆
Tag

#ai

19 articles tagged #ai

arxiv5d ago

ChainWatch: A Kill Chain-Aligned Sequential Detection Framework for Multi-Step Attacks in MCP-Based AI Agent Systems

arXiv:2607.19432v1 Announce Type: cross Abstract: The Model Context Protocol (MCP) is an open-source standard that allows AI agents to connect to external tools, databases, and services. While this connectivity enables powerful agent capabilities, it also introduces multi-step attacks that existing

HI1 model#security#ai#detectionRead on arxiv →
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techcrunchJun 30

Vibe-coding platform Base44 launches own model as AI startups seek defensibility

Wix-owned vibe-coding platform Base44 has started rolling out its own AI model — with hopes that it will eventually outperform frontier models.

BAME2 models#acquisition#ai#llmRead on techcrunch →
thevergeJun 24bullish

Figma now has AI motion graphics and shader tools

Figma has revealed some new design and coding product updates at its annual Config conference that aim to help creatives "push their ideas further" and automate tedious tasks with AI. Part of this is a reimagined canvas that's now optimized for full-stack development, according to Figma, bringing te

FI1 model#design#ai#collaborationRead on theverge →
techcrunchJun 19

The US banned Anthropic’s Fable 5 release, but the numbers don’t seem to care

Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5’s guardrails. Cybersecurity researchers have since signed an open letter calling th

FAMY2 models#regulation#security#acquisitionRead on techcrunch →
arxivJun 18

TRAP: Benchmark for Task-completion and Resistance to Active Privacy-extraction

arXiv:2606.18996v1 Announce Type: cross Abstract: Agents are increasingly deployed in document-intensive workflows where sensitive private information is not an edge case but a routine input, e.g., an agent booking a flight needs passport numbers. In such settings, the agent must use private informa

#privacy#security#cryptographyRead on arxiv →
arxivJun 12

EpiBench: Verifiable Evaluation of AI Agents on Epigenomics Analysis

arXiv:2606.13602v1 Announce Type: new Abstract: We introduce EpiBench, a verifiable benchmark for short-horizon epigenomics analysis. EpiBench evaluates whether agents can make well-defined analysis decisions from realistic workflow states and return deterministically gradable answers. The benchmark

GPGPCL4 models · +1#benchmark#evaluation#epigenomicsRead on arxiv →
techcrunchJun 10

The three hard-tech moonshots fueling SpaceX’s unbelievable IPO

Most of the value in SpaceX's IPO is effectively a call option on the company's ambitious space data center plans.

#ipo#valuation#spaceRead on techcrunch →
techcrunchJun 10bullish

Jedify raises $24M to help companies arm AI agents with context on their business

The funding round was led by Norwest, with participation from S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor.

#integration#enterprise#aiRead on techcrunch →
techcrunchJun 10bullish

Meta signs first AI data center deal in India with Reliance

The 168-megawatt facility will support Meta's global AI computing needs and can be expanded over time.

#infrastructure#datacenter#investmentRead on techcrunch →
techcrunchJun 6bullish

What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates

Apple's WWDC nears: Here's what you can look forward to.

SIOPCL5 models · +2#ai#conversational#productivityRead on techcrunch →
thevergeMay 6

Google shuts down Project Mariner

Google has pulled the plug on Project Mariner, an experimental feature designed to perform tasks for you across the web, as reported earlier by Wired's Maxwell Zeff. The Project Mariner landing page now contains a message that says: "Thank you for using Project Mariner. It was shut down on May 4th,

GEAI2 models#ai#shutdown#projectRead on theverge →
techcrunchMay 6bullish

SpaceX may spend up to $119B on ‘Terafab’ chip factory in Texas

The project would be a "multi-phase, next-generation, vertically integrated semiconductor manufacturing and advanced computing fabrication facility," according to the proposal.

GR1 model#semiconductors#ai#manufacturingRead on techcrunch →
arxivMay 1bearish

Taming the Centaur(s) with LAPITHS: a framework for a theoretically grounded interpretation of AI performances

arXiv:2604.27927v1 Announce Type: new Abstract: We introduce a framework called LAPITHS (Language model Analysis through Paradigm grounded Interpretations of Theses about Human likenesS) and use it to show that several major claims advanced by models such as CENTAUR, proposed as an artificial Unifie

CELA2 models#cognitive#ai#researchRead on arxiv →
arxivApr 23bullish

White-Basilisk: A Hybrid Model for Code Vulnerability Detection

arXiv:2507.08540v5 Announce Type: replace-cross Abstract: The proliferation of software vulnerabilities presents a significant challenge to cybersecurity, necessitating more effective detection methodologies. We introduce White-Basilisk, a novel approach to vulnerability detection that demonstrates

WHLA2 models#cybersecurity#vulnerability#aiRead on arxiv →
techcrunchApr 22bullish

Tesla just increased its spending plan to $25B — here’s where the money is going

Tesla's planned capex for 2026 is three times higher than what the company has historically spent. Its CFO said, as a result, Tesla will have a negative free cash flow the rest of the year.

#investments#ai#roboticsRead on techcrunch →
arxivApr 22

Owner-Harm: A Missing Threat Model for AI Agent Safety

arXiv:2604.18658v1 Announce Type: cross Abstract: Existing AI agent safety benchmarks focus on generic criminal harm (cybercrime, harassment, weapon synthesis), leaving a systematic blind spot for a distinct and commercially consequential threat category: agents harming their own deployers. Real-wor

AGAGLL3 models#safety#security#benchmarkRead on arxiv →
techcrunchApr 17bullish

Anthropic launches Claude Design, a new product for creating quick visuals

The company says Claude Design is intended to help people like founders and product managers without a design background share their ideas more easily.

CLCL2 models#design#productivity#enterpriseRead on techcrunch →
thevergeApr 7bullish

A new Anthropic model found security problems ‘in every major operating system and web browser’

Anthropic is debuting a new AI model as part of a cybersecurity partnership with Nvidia, Google, Amazon Web Services, Apple, Microsoft, and other companies. Project Glasswing, as it's called, is billed as a way for large companies, and potentially even the government, to flag vulnerabilities in thei

CL1 model#cybersecurity#partnership#vulnerabilityRead on theverge →
arxivApr 7

Pedagogical Safety in Educational Reinforcement Learning: Formalizing and Detecting Reward Hacking in AI Tutoring Systems

arXiv:2604.04237v1 Announce Type: cross Abstract: Reinforcement learning (RL) is increasingly used to personalize instruction in intelligent tutoring systems, yet the field lacks a formal framework for defining and evaluating pedagogical safety. We introduce a four-layer model of pedagogical safety

#education#reinforcement-learning#safetyRead on arxiv →