At 19, founder raises $11M for Ghost, maker of a $3,499 computer for personal AI
Ghost's first product is Core, a personal computer designed specifically for AI agents that can take actions on a person's behalf.
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Ghost's first product is Core, a personal computer designed specifically for AI agents that can take actions on a person's behalf.
HackerRank’s AI interviewer has already conducted more than 500,000 interviews, with Snowflake, Snorkel, and Capgemini among its early testers.
Independent researchers discovered an agent swarm that seems to be running on Tencent's infrastructure and targeting Alibaba's map service, Amap.
As agentic artificial intelligence moves into production, the harder question is becoming what enterprises will actually trust it to do. Infor Inc. is betting that industry-specific context can help bridge that gap.
AI trust increasingly determines whether enterprise AI scales. As organizations move beyond pilots and put models and agents into operational systems, the question is no longer whether AI performs well in isolation.
Agentic AI infrastructure must support the work between a model’s decisions as agents move from answering questions to executing tasks. Central processing units handle much of that execution, while graphics processing units power model reasoning.
Enterprise artificial intelligence software company Iterate Studio Inc. today launched Lifeboat, an inference engine for large language models that has confidential computing built in.
Artificial intelligence company Cohere Inc. today unveiled North 2, an overhaul of its platform for running AI agents inside large organizations. Alongside a redesigned system for orchestrating multistep agent work, the update gives administrators new controls for capping token spending.
Google Cloud partner Promevo LLC today launched Insights by Promevo, a platform for tracking adoption of Google LLC’s Gemini Enterprise and the artificial intelligence agents employees build with it, as well as spending across the rest of a customer’s Google Cloud environment.
AI providers increasingly embed forward-deployed engineers inside customer operations, and few settings test that model harder than Formula One. Races arrive every two weeks, budgets are capped and margins are measured in milliseconds.
AI is moving beyond the data centers where models are trained and onto factory floors where machines must handle constant change. But traditional industrial robots work behind a cage, repeat a single task and were never designed for the complexities of today’s market.
PyTorch, vLLM, Ray: the open source stack behind modern AI is moving fast. At PyTorch Conference, Oct 20–21 in San Jose, learn from the engineers and researchers building it.
Article URL: https://diff.wikimedia.org/2026/10/05/openai-rogue-agent-activities-found-on-wikimedia-projects/ Comments URL: https://news.ycombinator.com/item?id=49968105 Points: 129 # Comments: 81
These are not simply cyber security flaws but problems with the way that models are trained
The following article was originally published on the Agentic AI Foundation blog site and is being republished here with the author’s permission. A customer asks your company’s AI agent to update the shipping address on account 123.
In the past three months, 27% of consumers have reported making a purchase on a social shopping platform. This is led by 48% of Gen Z consumers and 37% of Millennial consumers, according…
Put these no-code AI tools in your entrepreneurial toolbox and get growing on day one.
Pi spent much of the past year leaving MCP out of its coding agent, even as the protocol became standard The post One MCP server used 18,000 tokens before doing anything. Here’s the workaround. appeared first on The New Stack.
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