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Scaffold Effects on GAIA: A Controlled Comparison

Announce Type: new Abstract: Published agent capability scores conflate what a model can do with what its scaffold lets it do, and the magnitude of this elicitation gap is not well characterized under controlled conditions. This study executes a pre-registered controlled comparison of three scaffolds (ReAct, a Planner-Actor-Rater multi-agent design, and planner-then-executor) across five models from three providers (Claude Opus 4.7, Sonnet 4.6, Haiku 4.5; Gemini 3.1 Pro Preview; GPT-5.5) on...

arXiv CS 1d ago

I built a vulnerable app and spent $1,500 seeing if LLMs could hack it

I built a vulnerable app and spent $1,500 seeing if LLMs could hack it As a part of my work I do security research for various apps and websites. I wanted to see if LLMs could reproduce a common class of exploits I’ve found in multiple apps. I made a fake React Native app in Expo and a backend in Python.

Hacker News 6d ago

Knowledge Index of Noah's Ark

arXiv:2606.05104v2 Announce Type: replace Abstract: Knowledge benchmarks for LLMs face three issues: scaling-driven designs that do not operationalize disciplinary representativeness; flat-payment annotation that permits lazy consensus; and unaudited ranking instability under bounded test budgets. We introduce KINA, an 899-item benchmark across 261 fine-grained disciplines, with two formal results. First, we cast representativeness as a coverage-style objective over expert-elicited anchors...

arXiv CS 5d ago

Can LLMs Beat Classical Hyperparameter Optimization Algorithms?

Computer Science > Machine Learning [Submitted on 25 Mar 2026 (v1), last revised 17 Apr 2026 (this version, v5)] Title:Can LLMs Beat Classical Hyperparameter Optimization Algorithms?

Hacker News 1d ago

Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems

Announce Type: new Abstract: Large language models (LLMs) increasingly translate natural-language optimization problems into executable solver code. Yet for constraint-dense operations research (OR) problems, existing data-filtering and training pipelines largely rely on objective-equivalence signals such as differential testing and answer agreement, which a program can pass while adding spurious constraints or silently omitting required ones, whenever those constraints are non-binding on...

arXiv CS 6d ago

Knowledge Index of Noah's Ark

Announce Type: new Abstract: Knowledge benchmarks for LLMs face three issues: scaling-driven designs that do not operationalize disciplinary representativeness; flat-payment annotation that permits lazy consensus; and unaudited ranking instability under bounded test budgets. We introduce KINA, an 899-item benchmark across 261 fine-grained disciplines, with two formal results. First, we cast representativeness as a coverage-style objective over expert-elicited anchors and operationalize...

arXiv CS 6d ago

Claude AI: What's free in 2026 and what isn't?

Claude AI: What's free in 2026 and what isn't? Some of Anthropic's best products require a subscription. If you're new to Claude, the chatbot's usage limits can feel ill-defined.

Engadget 7d ago

GitHub Copilot App

From issue to merge, in one app Join the waitlist to stay informed and get notified when we expand access to the GitHub Copilot app technical preview—a new desktop experience for agent-driven development built natively on GitHub. Already a Copilot Pro, Pro+, Max, Business, or Enterprise customer? You can immediately install the app and get started today.

Hacker News 7d ago

visionOS 27 brings the new Siri to Apple's headset

visionOS 27 brings the new Siri to Apple's headset Siri knows what you’re looking at and can respond accordingly. Although the Vision Pro doesn't seem to be a high priority for Apple these days, the company isn't abandoning the software for its $3,500 headset anytime soon — if for no other reason than that it will almost certainly run on the rumored Apple glasses. visionOS 27 aligns with the rest of the WWDC 2026 announcements, focusing on new AI features.

Engadget 1d ago

Anthropic spins a Fable of a tamer, safer Mythos

Anthropic's Mythos model, supposedly too dangerous for public release in April, is now available to wreak havoc or tackle other tasks for a hefty price and with some new guardrails in place. Just make sure you don't mind having Anthropic keep some of your data for a while. The AI biz on Tuesday announced public availability of Claude Fable 5, a Mythos-class model, and private availability of Claude Mythos 5 for Glasswing partners.

The Register 22h ago