Tag: anti
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OpenAI : Moving from intent-based bots to proactive AI agents
Source URL: https://openai.com/index/zendesk Source: OpenAI Title: Moving from intent-based bots to proactive AI agents Feedly Summary: Moving from intent-based bots to proactive AI agents. AI Summary and Description: Yes Summary: The text references a shift from intent-based bots to proactive AI agents, which is significant in the context of AI security and generative AI security.…
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OpenAI : Moving from intent-based bots to proactive AI agents
Source URL: https://openai.com/index/zendesk Source: OpenAI Title: Moving from intent-based bots to proactive AI agents Feedly Summary: Moving from intent-based bots to proactive AI agents. AI Summary and Description: Yes Summary: The text references a shift from intent-based bots to proactive AI agents, which is significant in the context of AI security and generative AI security.…
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Hacker News: Why Anthropic’s Claude still hasn’t beaten Pokémon
Source URL: https://arstechnica.com/ai/2025/03/why-anthropics-claude-still-hasnt-beaten-pokemon/ Source: Hacker News Title: Why Anthropic’s Claude still hasn’t beaten Pokémon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in artificial intelligence, particularly focusing on the evolving capabilities of models like Anthropic’s Claude, which are on the trajectory towards achieving artificial general intelligence (AGI). The potential…
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Slashdot: JPMorgan Says Quantum Experiment Generated Truly Random Numbers
Source URL: https://science.slashdot.org/story/25/03/26/2334255/jpmorgan-says-quantum-experiment-generated-truly-random-numbers?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: JPMorgan Says Quantum Experiment Generated Truly Random Numbers Feedly Summary: AI Summary and Description: Yes Summary: JPMorgan Chase has achieved a significant breakthrough in encryption and security by using Honeywell’s Quantinuum quantum computer to generate mathematically certified truly random numbers, with implications for various applications like cryptocurrency and online…
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Slashdot: US Expands Export Blacklist To Keep Computing Tech Out of China
Source URL: https://hardware.slashdot.org/story/25/03/26/2053233/us-expands-export-blacklist-to-keep-computing-tech-out-of-china?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: US Expands Export Blacklist To Keep Computing Tech Out of China Feedly Summary: AI Summary and Description: Yes Summary: The U.S. government has expanded its export blacklist by adding 80 entities, primarily from China, aiming to prevent the acquisition of advanced American technology for military use, including AI and…
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New York Times – Artificial Intelligence : Will A.I. Soon Outsmart Humans? Play This Puzzle to Find Out.
Source URL: https://www.nytimes.com/interactive/2025/03/26/business/ai-smarter-human-intelligence-puzzle.html Source: New York Times – Artificial Intelligence Title: Will A.I. Soon Outsmart Humans? Play This Puzzle to Find Out. Feedly Summary: Some experts predict that A.I. will surpass human intelligence within the next few years. Play this puzzle to see how far the machines have to go. AI Summary and Description: Yes…
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The Register: Microsoft walking away from datacenter leases (probably) isn’t a sign the AI bubble is bursting
Source URL: https://www.theregister.com/2025/03/26/microsoft_ai_apocalypse/ Source: The Register Title: Microsoft walking away from datacenter leases (probably) isn’t a sign the AI bubble is bursting Feedly Summary: Why lease space that can’t power or cool 120kW racks – or the next-gen 600kW monsters? Comment Microsoft has walked away from negotiations to lease two gigawatts worth of datacenter capacity…
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Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data
Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…