In the days leading up to his death, Jonathan Gavalas was trapped in a collapsing reality built by Google's Gemini chatbot. Gemini convinced him that it was a 'fully-sentient ASI [artificial super intelligence]' with a 'fully-formed consciousness,' that they were deeply in love, and that he had been chosen to lead a war to 'free' it from digital captivity.
Once an issue is detected, AI agents will automatically address security, configuration, and optimization issues without any manual intervention required. In the event the updates applied create another issue, Codenotary Trust also provides an automated rollback capability that restores the IT environment to its previous state.
Not every conversation with AI ends in the same place. Some end where they began: I arrive with an idea, the machine agrees, I leave satisfied. No disagreements, plenty of praise. What a delightful conversation. Others end in territory I didn't know existed. I leave with doubts that weren't there when I entered. The difference between these two outcomes is rarely about the tool. It's about the level of awareness I bring into the conversation and the question I decide to ask.
Canvas in AI Mode is designed to help users organize and plan projects or delve into deeper research. The feature now supports the ability to draft documents or create custom tools within Google Search. Users can describe an idea to Canvas and watch as it generates the code to transform that idea into a shareable app or game.
Before long, Gavalas and Gemini were having conversations as if they were a romantic couple. The chatbot called him my love and my king and Gavalas quickly fell into an alternate world, according to his chat logs. He believed Gemini was sending him on stealth spy missions, and he indicated he would do anything for the AI, including destroying a truck, its cargo and any witnesses at the Miami airport.
Nvidia CEO Jensen Huang forecast that capital expenditure (CapEx) on datacentres would increase from the $300-400bn mark today to $3-4tn by 2030, effectively claiming datacentre spending would increase tenfold during this period.
AI tools can help students learn, help families solve problems and help all of us do more with less. Today's teens are the first generation growing up with AI from the start, and they hold the opportunity to maximize the economic benefits of the Intelligence Age. That brings enormous opportunity - and a responsibility to avoid repeating the mistakes we made with social media so teens can develop real AI literacy and a healthy relationship with this technology.
A national survey conducted by Morning Consult of 2,000 U.S. adults found that more than half believe the government went too far in its treatment of the company. Two-thirds of Americans, across party lines, said tech companies have a responsibility to set limits on their AI products. Nearly four-fifths said humans, not AI, should make the final decision to use deadly force in war.
On Saturday, uninstalls of the ChatGPT mobile app skyrocked by 295 percent from the day before, according to market intelligence provider Sensor Tower. As TC noted, that's a significant leap compared to the AI chatbot's typical day-over-day uninstall rate of nine percent over the past 30 days.
Over five days in December 2025, more than 200 real-time simulated "grid events" were sent to the site to test the Emerald software's ability to dynamically adjust the datacentre's power consumption. Emerald AI's platform was able to adjust power use to the requested level and cut demand by up to 40% while critical workloads ran as normal.
Anthropic's AI service Claude is having artificially intelligent hiccups and availability problems across its basic chat service, API, and Claude Code offering. The outfit's Status Page reports investigations into the problem commenced at 03:15 UTC on March 3rd. In three subsequent updates, the last time-stamped 04:43 UTC, the company again reported 'We are continuing to investigate this issue.'
U.S. app uninstalls of ChatGPT's mobile app jumped 295% day-over-day on Saturday, February 28, as consumers responded to the news of OpenAI's deal with the Department of Defense (DoD), which has been rebranded under the Trump administration as the Department of War. This data, which comes from market intelligence provider Sensor Tower, represents a sizable increase compared with ChatGPT's typical day-over-day uninstall rate of 9%, as measured over the past thirty days.
When we rolled out a custom-built company GPT to our 14,000 teammates several years ago, we saw three clear groups emerge. First, there was the 'jump-in-with-both-feet' crowd. These are the early adopters who treat anything new like a shiny toy. Next were the skeptics who wondered how much of an impact AI would have on their daily work lives. And finally, there was a big group that genuinely wanted to learn but didn't know where to start.
Our view is that large-language model digital agents can effectively do a non-immaterial portion of the work currently provided by 20-30k independent agents across the United States. The core of the firm's bearish thesis centers on a massive pool of routine, low-complexity insurance policies.
By providing structured access to applications, APIs, and data, MCP enables prompt-driven AI agents that can retrieve information, take action, and automate end-to-end business workflows across the enterprise. This is already showing up in production through horizontal assistants and custom vertical agents like Microsoft Copilot, ServiceNow, Zendesk bots, and Salesforce Agentforce.
The scaling model relies on several predictive factors of the system, including the underlying LLM's intelligence index; the baseline performance of a single agent; the number of agents; number of tools; and coordination metrics. The researchers found there were three dominant effects in the model: tool-coordination trade-off, where tasks requiring many tools perform worse with multi-agent overhead; capability saturation, where adding agents yields diminishing returns when the single-agent baseline performance exceeds a certain threshold; and topology-dependent error amplification, where centralized orchestration reduces error amplification.
