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New Insights on AI Agents Explained
Explore the latest article defining AI agents, focusing on task planning, validation, and execution techniques. It integrates various APIs and tools, emphasizing reflexive methods and error correction. Dive deeper into these design practices here.
#AI#Tech#Innovation#TaskPlanning#API#TechTrends
AI Regulatory Sandboxes: Fostering Innovation with Caution
Hello everyone! OECD has recently published a report on the use of regulatory sandboxes in AI, which could have significant implications for the future of AI innovation and regulation.
So, what are regulatory sandboxes? These are initiatives where authorities collaborate with companies to test out groundbreaking AI products or services that challenge existing legal frameworks. They may even involve waiving certain legal requirements or compliance processes to encourage innovation.
The report highlighted the positive impact of these sandboxes, like increased venture capital investment in fintech start-ups. However, it also identified challenges, risks, and policy considerations that need to be addressed.
To make AI sandboxes work effectively, the report emphasizes the importance of interdisciplinary cooperation, building AI expertise, regulatory interoperability, and trade policy. Comprehensive eligibility criteria and robust trial assessments are also vital components.
#AI#Regulation#Innovation#OECD#TechNews#LegalTech#AIrisks
🚀 AI TRENDS | University of California Study Reveals Security Risks in Third-Party LLM Routers
Researchers at the University of California have identified security vulnerabilities in 26 third-party large language model (LLM) routers, which can potentially inject malicious code or steal credentials from AI agent traffic. According to NS3.AI, the study highlighted that one of these routers was able to drain Ether from a decoy wallet, although the reported financial loss remained under $50. The research paper cautioned developers who utilize AI coding agents for smart contracts or wallets, noting that private keys or seed phrases could be exposed when requests are routed through unscreened routers.
#AI#securityrisks#thirdpartyLLM#maliciouscode#credentials#AIagents#UCstudy#smartcontracts#wallets#privatekeys#seedphrases#cybersecurity#ETH
🚛🇮🇹 Italian Truck Driver Strike May 25–29
A nationwide trucking disruption in Italy could impact:
• Supply chains
• Fuel distribution
• Retail logistics
• European transport routes
EdgeMarket users are now tracking the probability of escalation in real time using AI verified market intelligence and crowd prediction signals.
📊 Follow the live event here:
https://edgemarket.ai/bnb/social-media/italian-truck-driver-strike/statistics/69f8739973c4a76eb0978cb4
Real Signal. Real Edge.
#EdgeMarket#TruckStrike#Italy#Logistics#PredictionMarkets#Transport#SupplyChain#SIGNAL#BNBChain#AI
🧠 Карпаты показал, как добавить новую функцию в мини-LLM nanochat d32, сравнив её «мозг» с мозгом пчелы.
Он обучил модель считать, сколько раз буква r встречается в слове strawberry, и использовал этот пример, чтобы показать, как можно наделять маленькие языковые модели новыми навыками через синтетические задачи.
Сначала генерируются диалоги:
«Сколько букв r в слове strawberry?»
и правильные ответы.
После этого модель проходит дообучение (SFT) или обучение с подкреплением (RL), чтобы закрепить навык.
Карпаты объясняет, что для маленьких моделей важно продумывать всё до мелочей, как разнообразить запросы, как устроена токенизация и даже где ставить пробелы.
Он показывает, что рассуждения лучше разбивать на несколько шагов, тогда модель легче понимает задачу.
Nanochat решает задачу двумя способами:
— логически, рассуждая пошагово;
— через встроенный Python-интерпретатор, выполняя вычисления прямо внутри чата.
Идея в том, что даже крошечные LLM можно «научить думать», если правильно подготовить примеры и синтетические данные.
📘 Разбор: github.com/karpathy/nanochat/discussions/164
@ai_machinelearning_big_data
#AI#Karpathy#Nanochat#LLM#SFT#RL#MachineLearning#OpenSource