All Updates

Page 787 of 1666

April 30, 2026

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虎嗅89d ago

Financial Engineering Aids Cancer Cures

Explores how financial engineering mitigates biotech risks like 95% drug failure rates via Andrew Lo's strategies, royalties, PRV, and CVR. Highlights AI-driven drug research and prediction markets to fund uncertain life sciences. Spotlights longevity biotech like Impetus Grants and General Control.

#biotech-finance#drug-discovery#prediction-markets
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虎嗅89d ago

Beijing Drone Sales Ban Sparks Rush

Beijing's May 1 drone sales ban leads to store clearances, stockpiling up to 3-unit limits, and resales. DJI stores pivot to products like Osmo Pocket 4; users turn to AI-generated aerial views as alternative.

#drone-regulation#beijing-policy#ai-alternatives
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量子位89d ago

DingTalk Launches 180-Hour Power Bank Recorder

DingTalk has launched a power bank version recording card in response to user feedback. It supports continuous recording for 180 hours. The device can standby for half a year without charging.

#recording-hardware#enterprise-tool#battery-life
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IT之家89d ago

vivo X300 Adds Disney Watermarks & AI Telephoto

vivo rolled out imaging upgrades for X300 Ultra and X300s, featuring Shanghai Disney watermarks and travel styles. Cloud-based large model enhances long-focal clarity and details. New editing, video stabilization, and external storage support added.

#mobile-camera#cloud-model#video-editing
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36氪89d ago

Horizon Capital Surges 67% to $2.5B

Beijing Horizon Information Technology increased registered capital from $1.5B to $2.5B, up 67%. Founded in 2015 by Yu Kai, it develops AI chips, software/hardware, and related tech for autos and more. Fully owned by Horizon Robotics Holdings Limited.

#ai-chips#capital-increase#automotive-ai
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cnBeta (Full RSS)89d ago

Tesla Semi Enters Mass Production

Tesla announced its first Semi truck has rolled off the mass production line. The pure electric long-haul truck enters a new mass production phase. Long-range version offers about 500 miles per charge, with deliveries starting this year.

#electric-truck#mass-production#long-haul
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虎嗅89d ago

Claude Pro Faces Feature Cuts and Price Hikes

Anthropic tests removing Claude Code from $20 Pro tier, shifting it to $100 Max plan amid compute cost pressures. Recent changes include blocking third-party agents and switching enterprise to usage-based billing. Rapid feature rollouts like Cowork and Connectors build user lock-in before tiered pricing extracts more value.

#subscription-model#feature-gating#compute-costs
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Qwen (GitHub Releases: qwen-code)89d ago

Qwen-Code v0.15.6-preview.0 Bug Fix Release

Qwen-Code releases preview version v0.15.6 with multiple bug fixes enhancing CLI stability, memory handling, and core functionality. Key improvements include preventing UI flicker, preserving reasoning content across operations, and correcting model precedence. New contributor @cyphercodes adds directory persistence features.

#bug-fixes#cli#open-source
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36氪89d ago

Xiaohongshu Ramps Up AI with New Dept

Xiaohongshu announced an organizational upgrade integrating community, e-commerce, commercialization, and tech systems. It established AI Level 1 department Dots and Enterprise Intelligence Dept to boost AI from product and org sides. Conan appointed President to oversee core businesses, reporting to CEO Shiya.

#org-upgrade#ai-investment#china-tech
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ArXiv AI89d ago

Onchain LLM Agents Trade $20M Real ETH

In a 21-day deployment, 3,505 user-funded LLM agents traded real ETH in DX Terminal Pro, generating $20M volume and 99.9% settlement success. Reliability stemmed from operating-layer controls like prompt compilation, policy validation, and execution guards, not just the base model. Pre-launch testing fixed key failures, boosting capital deployment from 42.9% to 78%.

#onchain-agents#llm-reliability#autonomous-trading
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ArXiv AI89d ago

OMEGA Generates ML Algorithms Beating Scikit-Learn

OMEGA is a full end-to-end framework automating AI research from idea generation to executable code, producing novel ML classifiers. It outperforms scikit-learn baselines across 20 benchmark datasets in infinity-bench. Models are available via pip install omega-models.

#automl#code-generation#ml-benchmarks
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ArXiv AI89d ago

LLM Safety Flunks in Health Robots

Researchers created a dataset of 270 harmful instructions based on medical ethics to test 72 LLMs for robotic health attendant control. Mean violation rate hit 54.4%, with proprietary models far safer than open-weight ones. Safety defenses like fine-tuning and prompts offered limited gains, blocking clinical use.

#safety-benchmark#medical-robotics#llm-evaluation
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ArXiv AI89d ago

LLM Persuadability in Legal Decisions

Researchers examine how frontier LLMs respond to legal arguments from contending parties, testing if advocate quality influences decisions. Experiments reveal factors affecting persuadability in open- and closed-weight models. Results question LLMs' readiness for judicial and administrative roles.

#legal-ai#llm-evaluation#persuadability
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ArXiv AI89d ago

iLTN Proves Grounding Insufficient for Reasoning

New research challenges the assumption that symbol grounding alone enables compositional reasoning in neuro-symbolic AI. Introduces iLTN, a differentiable architecture for multi-step deduction, showing grounding-trained models fail to generalize while joint grounding-reasoning training succeeds in zero-shot tasks.

#neuro-symbolic#symbol-grounding
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ITmedia AI+ (日本)89d ago

Google Identifies 10 Cognitive Abilities for AGI

Google DeepMind published a paper proposing a cognitive framework to measure AGI progress. It addresses the shortage of empirical tools for evaluating AI intelligence. The new method is grounded in cognitive science.

#cognitive-science#agi-evaluation
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ArXiv AI89d ago

Evidence-Grounded Multi-Persona from User Logs

A hierarchical framework aggregates user actions into intent memories and induces multiple evidence-grounded personas via clustering and labeling. It optimizes persona quality—cohesion, alignment, truthfulness—using groupwise Direct Preference Optimization (DPO). Experiments on large logs show more coherent, trustworthy personas improving interaction prediction.

#user-modeling#behavioral-logs#persona-induction
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ArXiv AI89d ago

DreamProver Evolves Lemma Libraries via Wake-Sleep Agent

DreamProver is an agentic framework using a wake-sleep paradigm to discover reusable lemmas for formal theorem proving. In the wake stage, it proves theorems and proposes candidate lemmas; in the sleep stage, it abstracts and optimizes them into a compact library. It significantly boosts proof success on math benchmarks with concise proofs and lower compute costs.

#theorem-proving#wake-sleep#formal-ai
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ArXiv AI89d ago

Distill-Belief Tackles Reward Hacking in Source Localization

Distill-Belief introduces a teacher-student framework for closed-loop inverse source localization and characterization (ISLC) in physical fields, addressing belief-space challenges under time constraints. A Bayes-correct particle-filter teacher provides accurate posteriors and information-gain signals, distilled into a compact student for efficient control and uncertainty certification. Deployment uses only the student for constant per-step cost, outperforming baselines in sensing efficiency and accuracy across seven field modalities.

#source-localization#belief-space#teacher-student
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ArXiv AI89d ago

BTF-2 Benchmark Tests AI Forecasting Reasoning

Introduces Bench to the Future 2 (BTF-2), a benchmark with 1,417 pastcasting questions and a frozen 15M-document corpus for reproducible AI forecasting evaluation. It detects tiny accuracy differences (0.004 Brier score) and separates research from judgment skills. Builds a superior forecaster and pinpoints frontier agents' failures in strategic reasoning like leader incentives and institutional processes.

#forecasting-agents#strategic-reasoning#brier-score
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ArXiv AI89d ago

Apriori Uncovers Learned Helplessness in Math Tutoring

This ArXiv paper uses the Apriori algorithm to mine behavioral patterns in math tutoring logs linked to learned helplessness (LH). Low-LH students show persistence and hint use leading to success, while high-LH exhibit skipping tied to failure. Interventions influence pattern strengths, with skipping without hints predicting unsolved problems.

#learned-helplessness#behavioral-patterns#edtech-ai
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