OKF: Redefining Knowledge Bases for AI Agents

Same three analytics problems, three tools, eight dimensions, measured with real execution times and real agent prompts.

Google has updated its Search services privacy settings to allow the company to store and use uploaded media, including images, audio recordings, and video, to train its AI models, a change that was communicated to users via a low-profile email in June and applied by default. The update introduced two new settings, Search Services History […]

Net-zero pledges of Google and Amazon slip out of reach, and struggling Meta makes frantic moves Hello, and welcome to TechScape. I’m your host, Blake Montgomery, the Guardian’s US tech editor, writing to you after a rodeo in rural Texas, where I celebrated Independence Day. Today in tech, we’re discussing how tech giants’ investments in AI are hindering their pledges of climate neutrality, Meta’s frantic search for new lines of business, and Americans’ anger at tech’s political influence. Revealed: landmark Scottish AI project has no prospect of meeting renewables promise US residents angry at datacenters ‘being shoved down our throats’ are recalling officials Americans disgusted at Trump earning $1bn from crypto as president: ‘Obviously a grift’ Tesla sales surpass expectations for second quarter as Musk backlash seems to cool 3,000% bonuses but a growing wealth divide: South Korea grapples with its AI chip boom China wants to solve the hardest problem in robotics – making hands What

Developers looking to curb the cost of AI-powered coding tools have increasingly turned to the “Caveman” prompting style, which instructs coding assistants to communicate in blunt, telegraphic language and avoid conversational padding. The theory is simple: fewer words mean fewer tokens, translating into lower inference costs for organizations deploying AI agents at scale. A new test from IDE maker JetBrains confirms that terse prompting styles such as the viral open-source Caveman project can reduce token usage without hurting coding performance. However, the company found that the savings were far smaller than supporters claim. JetBrains used the Harbor open-source evaluation framework and tasks from SkillsBench for its test, and found that the Caveman technique reduced usage of output tokens by about 8.5%, far below its claimed 65%. The IDE-maker ran paired benchmarks across 86 real-world software engineering tasks in Claude Code, comparing coding sessions that used the Caveman pro

When I started evaluating browser agents, most of the conversation around me focused on multimodal models, computer-use systems and screenshot-based automation. Almost every framework I evaluated assumed agents needed to perceive the web the way humans do, visually, pixel by pixel. The more time I spent shipping agents against real web applications, the more I became convinced we were solving the wrong problem. AI agents would stall on checkout forms because a button had no ARIA role. They would waste seconds and thousands of tokens taking screenshots to figure out what was on the screen. The problem was never the Agent. It was that we kept treating the web as a visual surface, even though it already has a machine-readable interface. We have had one for decades. It is called the accessibility tree. The web already has a machine interface Most developers think of accessibility as a feature for people. Technically, accessibility required the web platform to solve a deeper problem: Exposi

Proxima Fusion's advancements could accelerate the transition to sustainable energy, but regulatory and funding hurdles may delay widespread impact. The post Proxima Fusion secures massive backing from RWE and Google as fusion energy race heats up appeared first on Crypto Briefing.

AI vulnerabilities in prompt injection attacks could undermine trust in automated systems, posing significant risks to digital transactions. The post Zscaler researchers identify prompt injection attacks targeting AI agents for crypto payments appeared first on Crypto Briefing.

PSA: A change to Google's privacy settings let it train its AI on more of your data. Here's how to opt out.