📌 TOPINDIATOURS Breaking ai: Woman Hailed as Hero for Smashing Man’s Meta Smart Gl

Over a decade ago, Google showed off a pair of smart spectacles called Google Glass, sparking a major ethical debate over wearables being used to covertly film people without their permission.

At the time, the outrage was enshrined by the derogatory neologism “glasshole,” meaning a Google Glass wearer who was accused of having little regard for the privacy of those around them.

A seeming eternity later, Meta has attempted to revive the idea with its Ray-Ban Meta glasses. While it’s arguably a significant technological leap over Google’s early forays, the debate has seemingly remained the same.

Case in point, as Daily Dot reports, a New York subway rider has accused a woman of breaking his Meta smart glasses.

“She just broke my Meta glasses,” said the TikTok user, who goes by eth8n, in a video that has since garnered millions of views.

“You’re going to be famous on the internet!” he shouted at her through the window after getting off the train. The accused woman, however, peered back at him completely unfazed, as if to say that he had it coming.

“I was making a funny noise people were honestly crying laughing at,” he claimed in the caption of a followup video. “She was the only person annoyed. I never spoke to her, I even let her sit down when she got on the train at 42nd street, and I continued to stand.”

But instead of coming to his support, the internet wholeheartedly rallied behind the alleged perpetrator, celebrating the woman as a folk hero — and perfectly highlighting how the public feels about gadgets like Meta’s smart glasses.

“Good, people are tired of being filmed by strangers,” one user commented.

“The fact that no one else on the train is defending him is telling,” another wrote.

“She’s perfect,” another gushed. “I hope she called him a dork for wearing them before she broke them.”

Others accused the man of fabricating details of the incident.

“‘People were crying laughing’ — I’ve never heard a less plausible NYC subway story,” one user wrote.

While Meta built in a small LED light in the front of its glasses to indicate when it’s recording a video, it can easily be covered by a small piece of tape, making it trivially easy to spy on strangers in public without their knowledge or consent. As Daily Dot points out, people are even selling stickers for this specific purpose.

In the meantime, eth8n claims to have “filed a claim with the police and it’s a misdemeanor charge.”

“What she did was assault, can get arrested for it if I see her again and felt like it,” he wrote.

But it remains to be seen whether the mysterious woman will face any consequences for breaking his glasses — or if the adoring public will even turn her in.

More on Meta’s glasses: Meta’s Disastrous Smart Glasses Demo Even Worse Than We Thought

The post Woman Hailed as Hero for Smashing Man’s Meta Smart Glasses on Subway appeared first on Futurism.

🔗 Sumber: futurism.com

📌 TOPINDIATOURS Hot ai: AWS launches Kiro powers with Stripe, Figma, and Datadog i

Amazon Web Services (AWS) has introduced Kiro powers, a system that allows software developers to give their AI coding assistants instant, specialized expertise in specific tools and workflows — addressing what the company calls a fundamental bottleneck in how AI agents operate today.

AWS announced Kiro powers at its annual re:Invent conference in Las Vegas. The capability marks a departure from how most AI coding tools work today. Typically, these tools load every possible capability into memory upfront — a process that burns through computational resources and can overwhelm the AI with irrelevant information. Kiro powers takes the opposite approach, activating specialized knowledge only at the moment a developer actually needs it.

"Our goal is to give the agent specialized context so it can reach the right outcome faster — and in a way that also reduces cost," Deepak Singh, VP of developer agents and experiences at Amazon, told VentureBeat in an exclusive interview.

The launch includes partnerships with nine technology companies: Datadog, Dynatrace, Figma, Neon, Netlify, Postman, Stripe, Supabase and AWS's own services. Developers can also create and share their powers with the community.

Why AI coding assistants choke when developers connect too many tools

Kiro powers comes amidst growing tension in the AI development tool market.

Modern AI coding assistants rely on Model Context Protocol (MCP) to connect with external tools and services. When a developer wants their AI assistant to work with Stripe for payments, Figma for design and Supabase for databases, they connect MCP servers for each service.

The problem: Each connection loads dozens of tool definitions into the AI's working memory before it writes a single line of code. According to AWS documentation, connecting just five MCP servers can consume more than 50,000 tokens — roughly 40% of an AI model's context window — before the developer even types their first request.

Developers have grown increasingly vocal about this issue. Many complain that they don't want to burn through their token allocations just to have an AI agent figure out which tools are relevant to a specific task. They want to get to their workflow instantly — not watch an overloaded agent struggle to sort through irrelevant context.

This phenomenon, which some in the industry call "context rot," leads to slower responses, lower-quality outputs and significantly higher costs — since AI services typically charge by the token.

Inside the technology that loads AI expertise on demand

Kiro powers addresses this by packaging three components into a single, dynamically-loaded bundle.

The first is a steering file, POWER.md, which functions as an onboarding manual. It tells the AI agent what tools are available and, crucially, when to use them. The second component is the MCP server configuration itself — the actual connection to external services. The third includes optional hooks and automation that trigger specific actions.

When a developer mentions "payment" or "checkout" in their conversation with Kiro, the system automatically activates the Stripe power, loading its tools and best practices into context. When the developer shifts to database work, Supabase activates while Stripe deactivates. The baseline context usage when no powers are active approaches zero.

"You click a button and it automatically loads," Singh said. "Once a power has been created, developers just select 'open in Kiro' and it launches the IDE with everything ready to go."

How AWS is bringing elite developer techniques to the masses

Singh framed Kiro powers as a democratization of advanced development practices. Before this capability, only the most sophisticated developers knew how to properly configure their AI agents with specialized context — writing custom steering files, crafting precise prompts and manually managing which tools were active at any given time.

"We've found that our developers were adding in capabilities to make their agents more specialized," Singh said. "They wanted to give the agent some special powers for a specific problem. For example, they wanted … the agent to become an expert at backend-as-a-service."

This observation led to a key insight: If Supabase or Stripe could build the optimal context configuration once, every developer using those services could benefit.

"Kiro powers formalizes things that only the most advanced people were doing, and allows anyone to get those kinds of skills," Singh said.

Why dynamic loading beats fine-tuning for most AI coding use cases

The announcement also positions Kiro powers as a more economical alternative to fine-tuning, or the process of training an AI model on specialized data to improve its performance in specific domains.

"It's much cheaper" compared to fine-tuning, Singh. "Fine-tuning is very expensive, and you can't fine-tune most frontier models."

This is a significant point. The most capable AI models from Anthropic, OpenAI and Google are typically "closed source," meaning developers cannot modify their underlying training. They can only influence the models' behavior through the prompts and context they provide.

"Most people are already using powerful models like Sonnet 4.5 or Opus 4.5," Singh said. "Those models need to be pointed in the right direction."

The dynamic loading mechanism also reduces ongoing costs. Because powers only activate when relevant, developers aren't paying for token usage on tools they're not currently using.

Where Kiro powers fits into Amazon's bigger bet on autonomous AI agents

Kiro powers arrives as part of a broader push by AWS into what the company calls "agentic AI" — AI systems that can operate autonomously over extended periods.

At re:Invent, AWS also announced three "frontier agents" designed to work for hours or days without human intervention: Kiro autonomous agent for software development, AWS security agent and AWS DevOps agent. These represent a different approach from Kiro powers — tackling large, ambiguous problems rather than providing specialized expertise for specific tasks.

The two approaches are complementary. Frontier agents handle complex, multi-day projects that require autonomous decision-making across multiple codebases. Kiro powers, by contrast, gives developers precise, efficient tools for everyday development tasks where speed and token efficiency matter most.

The company is betting that developers need both ends of this spectrum to be productive.

What Kiro powers reveals about the future of AI-assisted software development

The launch reflects a maturing market for AI development tools. GitHub Copilot, which Microsoft launched in 2021, introduced millions of developers to AI-assisted coding. Since…

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🔗 Sumber: venturebeat.com