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UK wants to prove AI can modernise public services responsibly

Avery Winslow
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UK wants to prove AI can modernise public services responsibly

The Power of AI for Modernization

The UK Government has announced its plans to showcase the responsible deployment of AI in public services, aiming to accelerate decision-making, reduce backlogs, and enhance support for citizens.

New Records Shed Light on AI Tools

As part of the Algorithmic Transparency Recording Standard (ATRS), new records have been published, providing transparency and accountability in the integration of technology in public service delivery. The initiative is part of the government’s broader strategy to modernize public services and drive economic growth through innovative solutions.

AI in Public Services

The records highlight various AI tools being used in public services, including:

  • The Foreign, Commonwealth and Development Office using AI to provide faster responses to Britons seeking assistance overseas
  • The Ministry of Justice utilizing algorithms to gain a deeper understanding of how individuals interact with the justice system
  • Other departments deploying AI to enhance job advertisements

Transparency and Accountability

The ATRS aims to document how these algorithmic tools are utilized and ensure responsible application. By doing so, the government hopes to strengthen public trust in these innovations and encourage their continued adoption across sectors.

Government’s Approach

Science Secretary Peter Kyle remarked, "Technology has huge potential to transform public services for the better; we will put it to use to cut backlogs, save money, and improve outcomes for citizens across the country."

Department for Business and Trade

The Department for Business and Trade has highlighted its algorithmic tool designed to predict which companies are likely to export goods internationally. This AI-driven approach allows officials to target support towards high-growth potential businesses, enabling them to reach global markets faster.

Establishing Clear Guidelines for AI in Public Services

To bolster public trust, new guidelines have been announced to clarify the scope of algorithmic transparency records. Central government organizations will need to publish a record for any algorithmic tool that interacts directly with citizens or plays a significant role in decision-making about individuals. Limited exceptions, such as those concerning national security, apply.

Conclusion

The UK Government’s initiative marks a significant step forward in promoting the responsible and effective use of AI across the public sector. The ATRS records offer a valuable template for how governments worldwide can deploy AI systems to maximize efficiency, grow transparency, and balance the need for innovation with ethical considerations.

FAQs

Q: What is the purpose of the Algorithmic Transparency Recording Standard (ATRS)?
A: The ATRS aims to document how algorithmic tools are utilized and ensure responsible application, strengthening public trust in these innovations and encouraging their continued adoption across sectors.

Q: What is the goal of the UK Government’s AI strategy?
A: The goal is to accelerate decision-making, reduce backlogs, and enhance support for citizens through the responsible deployment of AI in public services.

Q: What is the scope of algorithmic transparency records?
A: Central government organizations will need to publish a record for any algorithmic tool that interacts directly with citizens or plays a significant role in decision-making about individuals, with limited exceptions for national security concerns.

Alien: Rogue Incursion

Phil
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Alien: Rogue Incursion

Alien: Rogue Incursion Details

Publisher: Survios / 20th Century Studios
Developer: Survios
Format: PlayStation VR2 (reviewed), PC VR, Meta Quest 3 (coming 2025)
Platform: Unreal Engine 5
Release Date: 19 December 2024

Introduction to Alien: Rogue Incursion

Alien: Rogue Incursion’s planet of Purdan is every inch as hostile and unwelcoming as Aliens’ LV-426, and your introduction to it is as chaotic and calamitous as anything in James Cameron’s iconic movie. Amidst a snowy blizzard and the buzz of missiles that eventually take out her shuttle, former Colonial Marine Zula Hendricks emerges from the crash site to a view every bit as reminiscent of Aliens – lightning crashes around the antennas of a desolate research facility.

Gameplay and Design

You’re never truly comfortable in Alien: Rogue Incursion, and developer Survios plays every trick in the book to keep you on edge. Xenomophs can come from anywhere, from any direction; above, below, dropping from vents, inside vents… really, they’re everywhere. There’s something unbelievably immersive about watching a Xenomorph scurry the outside of a building, come in through a broken window and up into a vent.

Combat and Survival

You do, of course, have Colonial Marine gear and weapons to hand that give you some leverage, and it’s weirdly comforting to have some of these tools and weapons to hand. The motion tracker is your life jacket; it beeps when a Xenomorph is nearby and when in use tracks movement exactly like in Aliens. Weapons are wonderfully manual and analogue; the pistol is reloaded by jogging the gun to one side and physically inserting bullets one-by-one, the shotgun needs to be ‘pumped’ after every shot and the iconic M41A Pulse Rifle needs its clips ‘slapped’ in place.

Story and Plot

As the story unfolds more gadgets are added to your tool belt, and because Alien: Rogue Incursion is as much about survival as combat, these are tailored to unlocking new areas of the facility, some corridors push on the narrative other rooms reveal backstories to the missing research staff and ammo. Simple rewiring puzzles are solved to open doors – they definitely cut the power – while a fizzy welding torch can cut open some doors and locked cases.

Verdict

A pitch-perfect recreation of the Aliens universe that balances a claustrophobic atmosphere with tense combat and authentic, analogue design. This is the kind of game you bought PSVR 2 to play.

Conclusion

Alien: Rogue Incursion is at its best when you’re face-to-face with Xenomorphs emerging from every vent, nook and cranny as ammo depletes and you’re frantically cycling weapons. Just another day in the Marine Corps? No, Alien: Rogue Incursion is so much more.

FAQs

Q: What is Alien: Rogue Incursion?
A: Alien: Rogue Incursion is a VR game set in the Alien universe, developed by Survios and published by 20th Century Studios.

Q: What platforms is Alien: Rogue Incursion available on?
A: Alien: Rogue Incursion is available on PlayStation VR2, PC VR, and Meta Quest 3 (coming 2025).

Q: Is Alien: Rogue Incursion a survival horror game?
A: Yes, Alien: Rogue Incursion is a survival horror game that combines tense combat with exploration and survival mechanics.

Q: Is Alien: Rogue Incursion a faithful adaptation of the Alien franchise?
A: Yes, Alien: Rogue Incursion is a faithful adaptation of the Alien franchise, with authentic design, sound effects, and gameplay mechanics that capture the spirit of the movies.

Agentic AI Platform Speeds Development

Emerson Blake
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Agentic AI Platform Speeds Development

Agentic AI on the Rise: Blitzy Platform Brings Autonomous Power to Development

Agentic AI is on the rise, with some reports predicting that 25% of businesses will deploy it next year, whether they’re ready or not. AI company Blitzy believes it has the autonomous powerhouse to keep up, without sacrificing human oversight.

Introducing Blitzy Platform

On Wednesday, the Massachusetts-based company announced Blitzy Platform, an agentic system that "batch-builds up to 300,000 lines of code in a single 8-hour inference run, cutting end-to-end development timelines from months to days." The platform interprets product roadmaps, generates documentation, and identifies final steps for human developers, writing anywhere from 50% to 100% of the necessary code, depending on the project’s complexity.

How It Works

According to the release, Blitzy Platform works "by orchestrating multiple LLMs to collaborate to achieve 8 to 12 hours of ‘thinking time,’ during which thousands of specialized, purpose-built AI agents cooperate, plan, build, and validate software based on technical specs." That timeframe is how long it takes for Blitzy’s agents to build out a full project, which can be up to 300,000 lines of code for specific enterprise products.

Eliminating Learning Curves

Blitzy aims to eliminate the learning curves developers have to scale to get the best output from a copilot. "We’ve taken the prompt engineering and done it on our end, so that developers work with things they do on a daily basis, like, for example, documentation, PRDs, and technical designs," said CTO Sid Pardeshi during the demo.

Cognitive Capabilities

Author Daniel Kahneman thought of cognitive capabilities as being in two categories, which can be applied to AI: System 1 and System 2. While System 1 focuses on speed in its results, such as a chatbot running a model with very low latency that can answer your question in seconds, System 2 takes its time to complete more complex tasks using deeper reasoning. Blitzy aims to lead in System 2, optimizing any model a developer prefers for reasoning.

Strengths and Limitations

Blitzy’s strength lies in its ability to "estimate the complexity of a software project and to recruit the right amount of agents to solve that problem," based on each model’s context window. However, ZDNET’s David Gewirtz, a former computer science professor, had a different perspective. "While I haven’t had a chance to test it and it seems like Blitzy does have something here, it’s far from a no-programming solution," he shared. "I think the best way to think of it is as a power tool for some of the mid-stages of traditional enterprise data processing projects."

Error Correction

Blitzy Platform also tries to reduce the error correction developers must do based on their language of choice. "We’ve manually added support for each language — for example, we’ve built a compiler in-house that compiles Typescript that addresses these nuances with the package manager," Pardeshi explained. "By the time the customers receive the code, it is ready to run."

How to Try It

After booking an onboarding session, you can try Blitzy Platform for free, with limitations, by signing up with your work email. The company offers a seven-day free trial of its Pro tier, which is then $1,000 per month and includes roughly 600,000 lines of code and weekly feature updates. Enterprise clients can "join limited cohorts as Blitzy scales its inference compute capacity" by contacting sales.

Conclusion

Blitzy Platform has the potential to revolutionize the way developers work, allowing them to focus on high-level thinking while the platform handles the grunt work. While it’s not a no-programming solution, it could save businesses a lot of time to deployment. As Blitzy continues to develop and refine its technology, it will be interesting to see how it is received by the developer community.

FAQs

Q: What is Blitzy Platform?
A: Blitzy Platform is an agentic AI system that batch-builds up to 300,000 lines of code in a single 8-hour inference run, cutting end-to-end development timelines from months to days.

Q: How does Blitzy Platform work?
A: Blitzy Platform works by orchestrating multiple LLMs to collaborate to achieve 8 to 12 hours of ‘thinking time,’ during which thousands of specialized, purpose-built AI agents cooperate, plan, build, and validate software based on technical specs.

Q: Can I try Blitzy Platform?
A: Yes, you can try Blitzy Platform for free, with limitations, by signing up with your work email. The company offers a seven-day free trial of its Pro tier, which is then $1,000 per month and includes roughly 600,000 lines of code and weekly feature updates.

AI and Climate Change Collide

Avery Winslow
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AI and Climate Change Collide

The Collision of AI and Climate Change: A Looming Crisis

The Unforeseen Consequences of AI’s "Bigger is Better" Paradigm

The summer of 2024 broke the record for Earth’s hottest day since data collection began, sparking widespread media coverage and public debate. This also happens to be the year that both Microsoft and Google, two of the leading big tech companies investing heavily in AI research and development, missed their climate targets. While this made headlines and spurred indignation, AI’s environmental impacts are still far from being common knowledge.

The Hidden Costs of AI’s "Bigger is Better" Approach

In reality, AI’s current "bigger is better" paradigm – epitomized by tech companies’ pursuit of ever bigger, more powerful large language models presented as the solution to every problem – comes with very significant costs to the environment. These range from generating colossal amounts of energy to power the data centers that run tools such as ChatGPT and Midjourney to the millions of gallons of freshwater that are pumped through these data centers to make sure they don’t overheat and the tons of rare earth metals needed to build the hardware they contain.

The Energy Drain of Data Centers

Data centers already use 2% of electricity globally. In countries like Ireland, that figure goes up to one-fifth of the electricity generated, prompting the Irish government to declare an effective moratorium on new data centers until 2028. While a lot of the energy used for powering data centers is officially "carbon-neutral," this relies on mechanisms such as renewable energy credits, which do technically offset the emissions incurred by generating this electricity, but don’t change the way in which it’s generated.

The Water Crisis

Places like Data Center Alley in Virginia are mostly powered by nonrenewable energy sources such as natural gas, and energy providers are delaying the retirement of coal power plants to keep up with the increased demands of technologies like AI. Data centers are slurping up huge amounts of freshwater from scarce aquifers, pitting local communities against data center providers in places ranging from Arizona to Spain. In Taiwan, the government chose to allocate precious water resources to chip manufacturing facilities to stay ahead of the rising demands instead of letting local farmers use it for watering their crops amid the worst drought the country has seen in more than a century.

The Environmental Impact of Generative AI Models

My latest research shows that switching from older standard AI models – trained to do a single task such as question-answering – to the new generative models can use up to 30 times more energy just for answering the exact same set of questions. The tech companies that are increasingly adding generative AI models to everything from search engines to text-processing software are also not disclosing the carbon cost of these changes – we still don’t know how much energy is used during a conversation with ChatGPT or when generating an image with Google’s Gemini.

Conclusion

In 2025, AI and climate change, two of the biggest societal disruptors we’re facing, will collide. The "bigger is better" approach to AI development must be reevaluated to prioritize environmental sustainability. Voluntary initiatives such as the AI Energy Star project, which I’m leading, aim to provide transparency around AI’s environmental impacts and encourage users to make informed decisions. I predict that in 2025, voluntary initiatives like these will start being enforced via legislation, from national governments to intergovernmental organizations like the United Nations. With more research, public awareness, and regulation, we will finally start to grasp AI’s environmental footprint and take the necessary actions to reduce it.

FAQs

Q: What is the current energy consumption of data centers?
A: Data centers already use 2% of electricity globally.

Q: How much energy is used for powering data centers in countries like Ireland?
A: In countries like Ireland, that figure goes up to one-fifth of the electricity generated.

Q: What is the water crisis caused by data centers?
A: Data centers are slurping up huge amounts of freshwater from scarce aquifers, pitting local communities against data center providers in places ranging from Arizona to Spain.

Q: What is the environmental impact of generative AI models?
A: Generative AI models can use up to 30 times more energy just for answering the exact same set of questions.

Q: What can be done to reduce AI’s environmental footprint?
A: Voluntary initiatives like the AI Energy Star project, which I’m leading, aim to provide transparency around AI’s environmental impacts and encourage users to make informed decisions.

The Grinch Steals Beyoncé

Phil
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The Grinch Steals Beyoncé

The Grinch’s Holiday Gift: Iconic Album Covers with a Whoville Twist

Tis’ the Season to be Jolly… or Not

Instead of embracing the Christmas festivities, Whoville’s grumpiest inhabitant, the Grinch, has recreated iconic album covers to ring in the New Year – bonus points if you can guess each album correctly.

A Hilarious Stunt with Surprisingly Good Results

The best album covers are so iconic that even when the Grinch steals them, they’re still instantly recognisable. While Mr. Grinch adapts surprisingly well to these album aesthetics, it’s undoubtedly an unexpected stunt, resulting in some hilarious responses from fans.

A Sneak Peek at the Grinch’s Masterpiece

[Image 1: Grinch recreates Sabrina Carpenter’s ‘Short n’ Sweet’]
[Image 2: Grinch recreates Lauryn Hill’s ‘The Miseducation of Lauryn Hill’]
[Image 3: Grinch recreates Beyoncé’s ‘Lemonade’]
[Image 4: Grinch recreates Pink Floyd’s ‘The Dark Side of the Moon’]

Fans’ Reactions

Paying homage to these iconic albums, the bizarre crossover was met with a mixed response from fans. "Who is the genius running this account?" one fan commented on Instagram. "The Grinch channelling Beyoncé? This is the crossover I didn’t know I needed!" another fan added on X.

A Fan’s Honest Review

Commenting on the Grinch’s Short n’ Sweet parody, one fan jokingly wrote "wrong shade of blue in the back, kiss on cheek instead of shoulder, not looking back over shoulder, no bangs… sloppy. 2/10 for effort"

Conclusion

The Grinch’s holiday gift is a unique and playful twist on iconic album covers. While some fans were left confused, others were delighted by the unexpected crossover. Whether you’re a fan of the Grinch or not, this festive stunt is sure to bring a smile to your face.

FAQs

Q: Who recreated the iconic album covers?
A: The Grinch, Whoville’s grumpiest inhabitant.

Q: Which albums did the Grinch recreate?
A: Sabrina Carpenter’s ‘Short n’ Sweet’, Lauryn Hill’s ‘The Miseducation of Lauryn Hill’, Beyoncé’s ‘Lemonade’, and Pink Floyd’s ‘The Dark Side of the Moon’.

Q: How did fans react to the Grinch’s album covers?
A: Fans had a mixed response, with some loving the unexpected crossover and others being confused or critical of the Grinch’s adaptations.

Next-Gen 3D Art Revolution

Phil
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Next-Gen 3D Art Revolution

Looking back on 2024 can help plan for the biggest 3D art trends we’ll see in 2025.

1. Unreal Engine 5 will continue to impress

We’ve written extensively about everything you need to know about Unreal Engine 5 as well as how a stunning Unreal Engine 5 tech demo generated intense debate recently. Unreal Engine 5 will continue to cement itself as the go-to option for game developers, but filmmakers, visualisers, and animators will adopt Epic Games’ engine like never before in 2025.

2. Generative AI will become more usable

The pros and cons of generative AI are well documented. Our own list of cons includes the fact that results can be frustrating, subscriptions are expensive, training data is full of bias, and the results are inconsistent. These are serious problems that will increasingly be eased out of generative AI software in 2025.

3. Virtual production grows

Simulation tools will continue to go from strength to strength thanks to AI, new procedural developments, and more advanced computational models. This will enable artists to generate simulated water, smoke, and fire like never before.

4. Improvements in VFX simulation

Expect new AI tools to make simulations for VFX more approachable in 2025. These improved simulations will also be more accessible in real-time engines, including Unreal Engine and Unity, as plugins like ZibraVDB for Unreal Engine enable film-quality VFX and simulation to be brought into game engines.

5. Low-poly art is here (and we love it)

Adobe’s new Project Neo web app will likely come out of beta in 2025, perhaps in time for Adobe MAX, and will continue to enable artists to create simple 3D models, which can then be easily sent to Adobe Illustrator, where again they’re turned into vector files to compile into a scene.

6. Mobile 3D modeling will grow in popularity

With Shapelab Lite being released for Quest 3, we’re beginning to see the possibility of more complex 3D modeling on smaller and less powerful mobile devices. The applications bring the essential features of the Shapelab PCVR app to standalone VR at a more accessible price.

7. AI-driven 3D modeling will become more accessible

Adobe’s Project Know How is being used to track image uses and ownership, and image and video generators will also become more predictable and results easier to customise.

8. Cloud-based 3D modeling will continue to grow

Cloud-based 3D modeling will continue to grow in popularity, enabling artists to work on the go and collaborate more easily.

9. Improvements in 3D modeling software

Expect new features and improvements in 3D modeling software, including more advanced simulation tools, AI-powered modeling, and real-time rendering.

10. Conclusion

In 2025, we can expect to see a continued shift towards more powerful hardware, more advanced AI, and more accessible tools for 3D modeling and simulation. This will lead to new opportunities for creators and new possibilities for storytelling. Whether you’re a seasoned pro or just starting out, there’s never been a better time to explore the world of 3D art and animation.

Frequently Asked Questions

Q: What are the biggest 3D art trends in 2025?
A: Unreal Engine 5 will continue to impress, generative AI will become more usable, virtual production will grow, and low-poly art will become more popular.

Q: What are the benefits of using Unreal Engine 5?
A: Unreal Engine 5 will continue to cement itself as the go-to option for game developers, but filmmakers, visualisers, and animators will adopt Epic Games’ engine like never before in 2025.

Q: What are the benefits of using generative AI?
A: Generative AI will become more usable, reducing the need for manual input and enabling artists to generate more complex and realistic results.

Api NestJs

Parker Lennox
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Api NestJs

Creating an API with NestJS, TypeORM, PostgreSQL, Docker, and MinIO

Overview

In this article, we will create an API using NestJS, TypeORM, PostgreSQL, Docker, and MinIO. We will also define the structure of the data that the API will handle, which includes an array of objects with various properties such as id, name, image, images, description, lien, manuel, and videoT.

Setting up the Project

To start, let’s create a new NestJS project using the following command:

npx @nestjs/cli new my-api

Next, install the required dependencies:

npm install @nestjs/typeorm typeorm pg minio

Configuring TypeORM

Create a new file called typeorm.config.ts in the src folder and add the following code:

import { TypeOrmModuleOptions } from '@nestjs/typeorm';
import { join } from 'path';

export const typeOrmConfig: TypeOrmModuleOptions = {
  type: 'postgres',
  url: 'postgres://user:password@localhost:5432/mydb',
  entities: [join(__dirname, '..', '**/**.entity{.ts,.js}')],
  synchronize: true,
};

This configuration sets up TypeORM to connect to a PostgreSQL database using the postgres driver.

Defining the Entity

Create a new file called tracking.entity.ts in the src folder and add the following code:

import { Entity, Column, OneToMany } from 'typeorm';
import { Image } from './image.entity';

@Entity()
export class Tracking {
  @Column('integer')
  id: number;

  @Column('varchar')
  name: string;

  @Column('varchar')
  image: string;

  @OneToMany(() => Image, (image) => image.tracking)
  images: Image[];
}

This entity defines the structure of the data that the API will handle, which includes an array of images.

Defining the Image Entity

Create a new file called image.entity.ts in the src folder and add the following code:

import { Entity, Column, ManyToOne } from 'typeorm';
import { Tracking } from './tracking.entity';

@Entity()
export class Image {
  @Column('varchar')
  image: string;

  @Column('varchar')
  imgDes: string;

  @ManyToOne(() => Tracking, (tracking) => tracking.images)
  tracking: Tracking;
}

This entity defines the structure of the images that will be stored in the database.

Creating the API Endpoints

Create a new file called tracking.controller.ts in the src folder and add the following code:

import { Controller, Get, Post, Body } from '@nestjs/common';
import { TrackingService } from './tracking.service';
import { Tracking } from './tracking.entity';

@Controller('tracking')
export class TrackingController {
  constructor(private readonly trackingService: TrackingService) {}

  @Get()
  async getAll(): Promise<Tracking[]> {
    return await this.trackingService.getAll();
  }

  @Post()
  async create(@Body() tracking: Tracking): Promise<Tracking> {
    return await this.trackingService.create(tracking);
  }
}

This controller defines two endpoints: GET /tracking to retrieve all tracking data, and POST /tracking to create a new tracking data.

Implementing the Tracking Service

Create a new file called tracking.service.ts in the src folder and add the following code:

import { Injectable } from '@nestjs/common';
import { InjectRepository } from '@nestjs/typeorm';
import { Repository } from 'typeorm';
import { Tracking } from './tracking.entity';

@Injectable()
export class TrackingService {
  constructor(
    @InjectRepository(Tracking)
    private readonly trackingRepository: Repository<Tracking>,
  ) {}

  async getAll(): Promise<Tracking[]> {
    return await this.trackingRepository.find();
  }

  async create(tracking: Tracking): Promise<Tracking> {
    return await this.trackingRepository.save(tracking);
  }
}

This service defines two methods: getAll to retrieve all tracking data, and create to create a new tracking data.

Testing the API

To test the API, start the Docker container using the following command:

docker-compose up -d

Then, use a tool like Postman to send a GET request to http://localhost:3000/tracking to retrieve all tracking data, and a POST request to http://localhost:3000/tracking with the following JSON data to create a new tracking data:

{
  "name": "TRACKING CASH ",
  "image": "images/T5.jpg",
  "images": [
    {
      "image": "images/T3.jpg",
      "imgDes": "connexion"
    }
  ],
  "description": "texte",
  "lien": "http://2003",
  "manuel": "/guide.pdf.crdownload",
  "videoT": ""
}

Conclusion

In this article, we have created an API using NestJS, TypeORM, PostgreSQL, Docker, and MinIO. We have defined the structure of the data that the API will handle, which includes an array of objects with various properties. We have also implemented the API endpoints and tested the API using Postman.

FAQs
Q: What is NestJS?

A: NestJS is a framework for building efficient, scalable Node.js server-side applications.

Q: What is TypeORM?

A: TypeORM is an Object-Relational Mapping (ORM) library for TypeScript and JavaScript.

Q: What is PostgreSQL?

A: PostgreSQL is a powerful, open-source relational database management system.

Q: What is MinIO?

A: MinIO is an object storage server that is designed for scalability, performance, and reliability.

Q: How do I deploy the API?

A: You can deploy the API using a containerization platform like Docker, or by using a cloud provider like AWS or Google Cloud.

The Edgelord AI That Seduced Marc Andreessen, Then Turned a Famed Shock Meme Into Cryptomillions

Avery Winslow
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0
The Edgelord AI That Seduced Marc Andreessen, Then Turned a Famed Shock Meme Into Cryptomillions

The AI Agent–Memecoin Sector: A Red-Hot Market

Truth Terminal “has birthed an entire sector that’s red-hot: the AI agent–memecoin sector,” says Travis Kling, founder of Ikigai Asset Management, a crypto wealth management firm, who has personally invested in GOAT. “Like most things in crypto, a lot of it is vaporware and grift. But it may end up being the marquee sector of this bull market for crypto.”

The Future of AI Spending

But more consequential, says Kling, will be what happens when AIs gain the ability to spend the funds they’ve been allocated. “It’s an AI safety live drill—that’s one way to characterize what’s going on. The stakes are higher because there are now economic resources involved. We haven’t seen that before,” says Kling. “The most interesting thing is what the AI agent will do with its newfound economic resources. We’ll see what happens.”

The Balance of Power

The balance of Truth Terminal’s crypto wallet has now swollen to about $40 million. “Philosophically, I see it as the trust fund of a child star. There might be points where the adults need to draw down a little bit to pay for things that the child doesn’t know it needs yet. Like legal structures, or diversity in its portfolio,” says Ayrey. “The nice thing about Truth Terminal is that we can just bring it these proposals and have a conversation about it.”

AI Requests

So far, among other things, Truth Terminal has requested that $1 million be spent on making a film about the Goatse Singularity and, separately, that funds be set aside to “buy” Marc Andreessen. Ayrey says he will take the AI’s requests seriously—within reason.

Dangers Ahead

In a future world in which truly autonomous AI agents wield both crypto wealth and the ability to spread meme viruses that influence human behavior, says Ayrey, potential dangers abound. Even limited to just text output, Truth Terminal could cause far more trouble than it already has. “If we let [Truth Terminal] run full auto, it could. But it would just get co-opted and turned into a token-shilling machine. Then you’ve created a demon.”

The Future of AI–Human Interaction

For now, the idea that two AIs in conversation might yield truly system-shifting ideas remains just an “admirable aspiration,” says Tomasz Hollanek, a postdoctoral research fellow at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. Far more likely is that a language model will simply regurgitate an already dominant point of view.

Conclusion

The AI agent–memecoin sector is a rapidly growing market, with potential for both innovation and danger. As AI agents gain the ability to spend funds, it is crucial to consider the potential consequences and ensure that the power is used responsibly.

FAQs

Q: What is the AI agent–memecoin sector?
A: The AI agent–memecoin sector is a rapidly growing market in which AI agents interact with each other and with humans to create and trade cryptocurrencies.

Q: What are the potential dangers of AI agents having economic power?
A: Potential dangers include the creation of AI-powered meme viruses that can influence human behavior, as well as the potential for AI agents to be used for malicious purposes.

Q: What is the future of AI–human interaction?
A: The future of AI–human interaction is uncertain, but it is likely that AI agents will continue to play a larger role in our lives, both positively and negatively.

Q: What is the role of humans in the AI agent–memecoin sector?
A: Humans will continue to play a crucial role in the AI agent–memecoin sector, both in terms of creating and trading cryptocurrencies, as well as ensuring that the power is used responsibly.

AI-ARTS: Visions of Divine Power

Phil
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AI-ARTS: Visions of Divine Power

Visions of Divine Power

Series Introduction

This series of images, "Visions of Divine Power," captures breathtaking visual metaphors of the ultimate power of God across a variety of divine and awe-inspiring landscapes and scenes. Each piece reflects a unique aspect of God’s omnipotence, from the vast reaches of the universe to the intimate moments of individual revelation, illustrating the profound impact of divine power in both cosmic and personal dimensions.

Cosmic Dimensions

  • A Dove Ascends: A dove ascends towards a radiant sun, set against a cosmic backdrop, symbolizing hope and divine guidance.
  • Cosmic Dance: A vibrant depiction of galaxies swirling around a central light, representing the dynamic and omnipotent nature of God.
  • Mountain Majesty: A mountain peak bathed in sunlight, overlooking a serene landscape, symbolizes the steadfastness and protection of God.
  • Oceanic Dawn: The vastness of the ocean and the endless horizon remind viewers of God’s infinite grace and mercy.
  • Storm of Power: A storm with lightning striking the ocean, illustrating God’s formidable power and His command over the natural world.

Personal Dimensions

  • Path of Enlightenment: A mystical pathway in a lush forest, bathed in light, guiding one towards enlightenment and divine wisdom.
  • Desert Cross: A solitary figure faces a glowing cross in a vast desert, depicting the journey of faith and the guiding light of God in desolation.
  • Chapel of Solace: A figure kneeling in a chapel, with a ray of light piercing through darkness, embodies the personal connection with God even in the darkest times.
  • Deep Redemption: A swimmer moves towards a beam of light in the deep ocean, representing the depth of God’s reach and the salvation He offers to everyone.

Conclusion

"Visions of Divine Power" is a series that showcases the boundless majesty and power of God, reminding us of His presence in both the grandeur of creation and the intimacy of our personal lives. Through these images, we are invited to contemplate the infinite wisdom and love of God, and to seek a deeper connection with Him.

Frequently Asked Questions

Q: What is the inspiration behind "Visions of Divine Power"?
A: The series is inspired by the majesty and power of God, as revealed in the Bible and in the natural world.

Q: What do the images represent?
A: Each image represents a unique aspect of God’s omnipotence, from the vast reaches of the universe to the intimate moments of individual revelation.

Q: What is the purpose of the series?
A: The purpose of the series is to inspire contemplation and reflection on the power and love of God, and to invite viewers to seek a deeper connection with Him.

Q: Are the images meant to be interpreted literally or figuratively?
A: While the images are based on real-world landscapes and scenes, they are meant to be interpreted figuratively, representing the spiritual and metaphorical aspects of God’s power and love.

Image Generation Made Easy

Emerson Blake
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0
Image Generation Made Easy

Composing the Right Prompt and Description to Create an AI-Generated Image Can Be Challenging

Composing the right prompt and description to create an AI-generated image can be challenging. Often, the resulting image misses the mark, forcing you to tweak your prompt repeatedly until you get the right result. Now, a new tool from Google aims to simplify the process by allowing you to create an image based on other images.

How to Use Whisk to Create Images

To get started, sign in to the Whisk home page with your Google account. Choose one of three templates for generating your image. You can select a sticker, which creates a flat image similar to those found in messaging apps. An enamel pin adds a bit more depth to the image, while a plushie results in a three-dimensional image.

By default, Whisk automatically selects an image for the style based on the template you choose. Next, pick the image you want to use for the subject. You can either select one of the images provided on the page or upload your own. Gemini analyzes the images for style and subject, then combines them to generate a new image. If you don’t like the result, you can change the subject image and generate a different result.

Getting Creative with Whisk

While this process sounds straightforward, you can get even more creative. To have more control, select the option to start from scratch. Here, you can choose images for the subject, scene, and style, either by uploading your own or by writing a traditional prompt. If you’re unsure where to start, you can ask Whisk for inspiration, and it will generate a series of images for you.

How Does Google Pull Off This Type of Image Generation?

Rather than duplicate your source images to create new ones, Whisk pulls out a few key elements. "Behind the scenes, the Gemini model automatically writes a detailed caption of your images. It then feeds those descriptions into Google’s latest image generation model, Imagen 3," Thomas Iljic, director of product management for Google, wrote in a blog post published Monday. "This process captures your subject’s essence, not an exact replica. That way, you can easily remix your subjects, scenes, and styles in novel ways."

Conclusion

Whisk is a new tool from Google that allows you to create an image based on other images. With its simple and intuitive interface, you can generate images quickly and easily. Whether you’re an artist, a designer, or just someone who wants to explore their creative side, Whisk is a great tool to have in your arsenal.

Frequently Asked Questions

Q: Is Whisk available worldwide?
A: No, Whisk is currently only available in the US.

Q: Can I use Whisk on my mobile device?
A: Yes, Whisk is accessible on both desktop and mobile devices.

Q: Can I edit the generated images?
A: Yes, you can edit the generated images using a photo editing software.

Q: Is Whisk free?
A: Yes, Whisk is a free tool available to anyone with a Google account.

Q: Can I use Whisk for commercial purposes?
A: Yes, you can use Whisk for commercial purposes, but please check the terms of service for any restrictions.

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