Sj worldd

27/07/2025

✈️ Top 7 Prompts to Book Flights Like a Travel Hacker

🌍 Hidden Fare Hunter
Prompt:
"I want to fly from [insert origin city/airport] to [insert destination] around [insert date range]. Act like a flight pricing analyst and tell me the cheapest time frame (days & hours) to book this route based on airline pricing patterns and historical trends."

💸 Flexible Dates Price Hack
Prompt:
"I want to fly from [insert city] to [insert destination] within [insert month]. Act like a travel hacker.
Compare prices for all days in that month and tell me which exact dates are cheapest to depart and return, and why."

🧠 Nearby Airport Trick
Prompt:
"I'm traveling from [insert city] to [insert destination]. Act like a budget travel expert. Suggest nearby airports within 100 km from both my origin and destination that might have cheaper flights, and tell me how much I could save."

🕵️‍♂️ Hidden-City Ticketing Strategy
Prompt:
"I want to fly from [insert origin] to [insert destination]. Act like a hidden-city ticketing expert. Suggest routes where my destination is a layover on a longer flight, making it cheaper. Warn me about any risks like checked baggage issues."

🎯 Airline Sweet Spot Finder
Prompt:
"I'm planning a trip from [insert origin] to [insert destination]. Act like a travel trends analyst. Tell me the cheapest months to fly this route and which airlines typically offer the lowest fares, based on past data."

🧳 Mistake Fare Hunter
Prompt:
"I'm looking for dirt-cheap or mistake fares from [insert city/region] to anywhere in [insert continent/region]. Act like a flight deal hunter and list websites, forums, and alert services I should monitor to catch these rare deals."

💸 Currency & Region Pricing Loophole
Prompt:
"I want to book a flight from [insert city] to [insert destination]. Act like an advanced flight hacker. Tell me if booking this ticket in a different currency or from another country's version of the airline website could make it cheaper, and how to do it safely."

28/06/2025

Top 12 Video Generators You Need in 2025🎥

1. Veo3.ai (with realistic sound)
2. Reccloud.com/ (with audio & subtitle)
3. Synthesia.io (avatars & voiceovers)
4. RunwayML.com (Hollywood-grade)
5. InVideo.io (text-to-video)
6. Pictory.ai (long to viral clips)
7. Fliki.ai (voiceovers + footage)
8. DeepBrain.io (3D human models)
9. HeyGen.com (custom avatar videos)
10. Lumen5.com (blog-to-video)
11. Colossyan.com (studio-quality)
12. Elai.io (https://whatsapp.com/channel/0029VaojSv9LCoX0gBZUxX3B) (multilingual video builder)

RecCloud is the leading AI-powered solution for all your video and audio editing needs, including AI Speech to Text, AI Text to Speech, AI Subtitle Generator, AI Video Translation, etc.

28/06/2025

https://Runway.ai

Runway is an applied research company shaping the next era of art, entertainment and human creativity.

28/06/2025

28/06/2025

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16/01/2025

Discover top immune boosting tips to stay healthy year-round! Learn how nutrition, exercise, sleep, and lifestyle choices can help your immune system naturally.

07/01/2025

Explore shocking coerced consent in Girls Gone Wild, its cultural impact, and the urgent need for accountability.

07/01/2025

AI’s Power Problems

1) Datacenters Go Dark

Power shortages are set to become a significant challenge for datacenters, leaving racks empty as operators struggle to keep up with the rising demand for GPUs. To address the growing AI surge, some operators may relocate closer to power stations or even construct their own power plants. By year’s end, the conversation around scaling AI deployments will heavily focus on power shortages and the critical need for energy efficiency. While new innovations will offer some relief, governments and utilities will face increasing pressure to fast-track improvements to power grids.

This issue is already evident as Nvidia’s Blackwell chips pose considerable deployment challenges due to their high power density, leaving many datacenters unable to support them effectively.

2) Efficiency Takes Center Stage in Boardrooms

As power shortages escalate, enterprise leaders will face mounting scrutiny from their boards to ensure AI deployments are energy-efficient. Balancing return on investment (ROI) with rising power costs and carbon emissions goals will become a top priority.

Agentic AI and Inference

3) Inference Takes the Lead

In 2025, inference workloads will surpass training AI models as the dominant focus in AI. With the mainstream adoption of real-time AI applications, cloud and datacenter operations will shift heavily toward inference, driven largely by the growth of Agentic AI.

4) Agentic AI Unleashed

Autonomous AI agents are set to revolutionize tasks with minimal human intervention. Thanks to recent 10x improvements in large language model (LLM) speeds and specialized hardware, these agents will plan, reason, and process real-time information. They will handle complex, multi-step projects by leveraging diverse inputs to execute tasks with high efficiency.

5) The GPU Faces Competition

The rise of inference workloads and Agentic AI will introduce new challenges for GPUs, disrupting their dominance in AI hardware. Alternative, power-efficient hardware solutions better suited for inference will emerge, reshaping the market. As a result, Nvidia’s market share may shrink by up to 5%, potentially reducing its revenue by $10 billion. This shift will highlight the existence of superior platforms for inference, triggering a market adjustment.

Open-Weight Models Rise

6) Open Models Dominate

By 2025, open-weight AI models will surpass proprietary alternatives in adoption, driving innovation and accessibility across industries. Meta’s Llama 4 is expected to rival GPT-5 in capabilities, with debates over their superiority becoming largely academic. With widespread adoption, the Llama series could reach a billion downloads by the summer, solidifying open-weight models as the industry standard.

7) Sovereign AI Expands Globally

More nations and enterprises will prioritize developing their own sovereign AI systems as a strategic necessity. These systems will secure economic futures and maintain international competitiveness. While the U.S. may not immediately build its own national AI, it will treat AI as a tool for geopolitical leverage, leading to rare bipartisan policy initiatives in Congress.

Big Advances in Memory

8) Memory Optimization Drives AI Forward

In 2025, advancements in memory technology and model architectures will enable systems to retain extensive contextual information. This development will enhance Agentic AI’s ability to anticipate, plan, and execute with autonomy. The growing demand for contextual awareness will make memory optimization a cornerstone of AI development.

9) Energy Efficiency Redefines AI Hardware

Optimized memory architectures will play a crucial role in reducing energy consumption, lowering operational costs, and alleviating datacenter power demands. As power shortages intensify, hardware vendors will prioritize energy-efficient solutions to remain competitive and sustainable.

05/01/2025

jeep ai

05/01/2025

AI-Powered Strategies for T20 Cricket's Future! A Revolution in Athletics?

A high-tech revolution is about to occur in cricket's T20 format, which is well-known for its exciting and fast-paced contests. Teams are trying to use the latest advancements in machine learning and artificial intelligence (AI) to outsmart their rivals on the cricket pitch.

T20 cricket is hardly an exception to the way artificial intelligence (AI) has transformed sports in recent years. AI is increasingly being used by coaches and analysts to create dynamic plans for every game. Pitch behavior, weather patterns, crowd attitude, and player performance history are all revealed by these systems, which are given a wealth of data. Teams can potentially gain an advantage over their rivals by implementing real-time strategy alterations made possible by such thorough analysis.

The intriguing question that arises when T20 cricket adopts this technological revolution is whether AI-driven tactics will decide tomorrow's champions. Some cricket fans view the introduction of technology as the start of an exciting new age, while others may object to its intrusion. There is no doubt that the combination of AI and cricket will result in unanticipated developments that will permanently affect the landscape of this cherished game.

The AI Revolution in T20 Cricket: Using Smart Technology to Change the Game
Advances in artificial intelligence (AI) and machine learning technologies are largely responsible for the impending radical overhaul of the T20 cricket industry. These developments are changing how teams compete and strategy in addition to improving how games are played. An example of how technology and human skill will coexist harmoniously in sports in the future is provided by the incorporation of AI into T20 cricket.

Cricket teams' analytical environment is being drastically changed by AI. The development of **dynamic strategies** that are tailored to the particular requirements of every match demonstrates their widespread use. In contrast to conventional analysis, artificial intelligence (AI) systems use a large amount of data to provide insights that take into account historical player performance, current weather, pitch qualities, and even audience sentiment. With the use of this sophisticated data, teams are able to make modifications in real time that may help them win important games.

04/01/2025

Gemini 2.0, Astra, Veo 2, and Trillium Chips are the new Google AI tools for 2025.
Through 2025, artificial intelligence (AI) is expected to develop at an astounding rate, with Google AI projects bringing forth major technological advancements throughout their ecosystem.

Other recent Google AI projects demonstrate a targeted approach: developing more powerful, useful AI systems that organically fit into everyday activities, while Google Gemini AI provides improved capabilities in multimodal processing and real-time analysis.

We've compiled a list of the key innovations to look out for in 2025, ranging from notable gains in computational architecture to significant improvements in Google AI search.

mportant Takeaways
Google Gemini AI uses sophisticated multimodal processing to improve performance.
Digital marketing is about to undergo major changes because to Google's AI-powered advertising platform.

In development activities, new Google AI technologies show 92.9% accuracy.
A 4x increase in computational efficiency is achieved with a custom Trillium architecture.
Creative workflows will be streamlined by improved Google AI image generating capabilities.

03/01/2025

Explore the power of short-form storytelling in social media. Learn how brevity can captivate audiences and enhance your online presence.