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OpenAI Makes Its First Cybersecurity Investment

Avery Winslow
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OpenAI Makes Its First Cybersecurity Investment

The Rise of AI-Generated Threats: A New Era of Cybersecurity

Introduction

Generative AI has revolutionized the way hackers operate, making it easier to create convincing deepfakes, fake receipts, and other malicious content. As a result, companies are facing a new wave of sophisticated cyber threats. In response, OpenAI has invested in Adaptive Security, a startup that helps companies defend against these kinds of attacks.

Adaptive Security: A New Player in the Cybersecurity Market

Adaptive Security has raised $43 million in a Series A funding round co-led by OpenAI’s startup fund and Andreessen Horowitz. This is OpenAI’s first investment in a cybersecurity startup. The company simulates AI-generated "hacks" to train employees to spot threats. This includes phone calls, texts, and emails that aim to trick employees into divulging sensitive information.

Simulating Social Engineering Attacks

Adaptive Security’s platform focuses on social engineering attacks, which involve tricking employees into doing something they shouldn’t, such as clicking on a malicious link. These types of attacks have led to significant losses, including the $600 million loss suffered by Axie Infinity in 2022.

The Importance of Human Intervention

AI tools have made social engineering attacks easier than ever, according to Adaptive Security’s co-founder and CEO, Brian Long. Launched in 2023, the company now has over 100 customers, with positive feedback from them contributing to OpenAI’s investment.

A Veteran Entrepreneur at the Helm

Long is a seasoned entrepreneur with two previous successes: TapCommerce, which was sold to Twitter in 2014 for over $100 million, and Attentive, which was last valued at over $10 billion in 2021.

The Future of Cybersecurity

Adaptive Security plans to use its funding to hire more engineers and keep pace with the AI "arms race" against bad actors. The company joins a growing list of cyber startups working to address the boom in AI threats.

Conclusion

The rise of AI-generated threats has created a new era of cybersecurity challenges. Companies must stay vigilant and invest in tools that can detect and prevent these sophisticated attacks. Adaptive Security’s innovative approach to simulating social engineering attacks is a step in the right direction.

FAQs

Q: What kind of threats do Adaptive Security’s simulations mimic?

A: Adaptive Security’s simulations mimic AI-generated phone calls, texts, and emails that aim to trick employees into divulging sensitive information.

Q: What sets Adaptive Security apart from other cybersecurity startups?

A: Adaptive Security’s focus on social engineering attacks and its use of AI simulations to train employees to spot threats make it a unique player in the market.

Q: How will Adaptive Security use its funding?

A: The company plans to use its funding to hire more engineers and keep pace with the AI "arms race" against bad actors.

Q: What is the significance of OpenAI’s investment in Adaptive Security?

A: OpenAI’s investment marks its first foray into the cybersecurity space and validates the importance of addressing AI-generated threats.

Meta’s benchmarks for its new AI models are a bit misleading

Jordan Waverly
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0
Meta’s benchmarks for its new AI models are a bit misleading

Meta’s AI Model Maverick: A Tale of Two Versions

A Comparison of Maverick on LM Arena and the Publicly Available Version

One of the new flagship AI models released by Meta, Maverick, has ranked second on LM Arena, a test that has human raters compare the outputs of models and choose which they prefer. However, it appears that the version of Maverick deployed to LM Arena differs from the version that’s widely available to developers.

The Difference in Versions

As several AI researchers pointed out on X, Meta noted in its announcement that the Maverick on LM Arena is an "experimental chat version." A chart on the official Llama website discloses that Meta’s LM Arena testing was conducted using "Llama 4 Maverick optimized for conversationality."

The Problem with Customized Models

For various reasons, LM Arena has never been the most reliable measure of an AI model’s performance. However, AI companies generally haven’t customized or otherwise fine-tuned their models to score better on LM Arena – or haven’t admitted to doing so, at least. The problem with tailoring a model to a benchmark, withholding it, and then releasing a "vanilla" variant of that same model is that it makes it challenging for developers to predict exactly how well the model will perform in particular contexts. It’s also misleading. Ideally, benchmarks – woefully inadequate as they are – provide a snapshot of a single model’s strengths and weaknesses across a range of tasks.

Differences in Behavior

Researchers on X have observed stark differences in the behavior of the publicly downloadable Maverick compared with the model hosted on LM Arena. The LM Arena version seems to use a lot of emojis, and give incredibly long-winded answers.

A Comparison of the Two Versions

  • LM Arena Version: Uses a lot of emojis and provides long-winded answers
  • Publicly Available Version: No significant issues reported

Conclusion

The discrepancies between the two versions of Maverick raise questions about the transparency and accuracy of AI model testing. While Meta has not commented on the matter, it’s clear that the company has customized the model for LM Arena, which could impact the reliability of the benchmark.

FAQs

Q: What is LM Arena?

A: LM Arena is a test that has human raters compare the outputs of models and choose which they prefer.

Q: What is the difference between the Maverick on LM Arena and the publicly available version?

A: The Maverick on LM Arena is an "experimental chat version" that has been optimized for conversationality, whereas the publicly available version is a "vanilla" variant.

Q: Why is it a problem to customize a model for a benchmark and then release a "vanilla" variant?

A: It makes it challenging for developers to predict exactly how well the model will perform in particular contexts, and it’s also misleading.

Q: What are the differences in behavior between the two versions of Maverick?

A: The LM Arena version uses a lot of emojis and provides long-winded answers, whereas the publicly available version has no significant issues reported.

Millions Protest Trump and Musk

Avery Winslow
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0
Millions Protest Trump and Musk

Massive Protests Erupt Across the Country

Growing Unrest Amidst Threats to Healthcare, Civil Rights, and Democracy

Protests against the US government’s recent actions have reached a boiling point, with thousands of people taking to the streets in cities and towns across the country. The demonstrations, which have been described as the largest since Trump’s re-election, are a clear indication of the growing discontent among citizens.

Key Concerns Driving the Protests

**Healthcare Under Threat**

The recent attempts to dismantle the Affordable Care Act (ACA) have sparked widespread outrage among citizens. Activists are demanding that the government protect the rights of millions of Americans who rely on the healthcare system. The ACA has provided essential coverage to those who cannot afford it otherwise, and its repeal would leave many without access to vital medical care.

**Civil Rights Under Attack**

The proposed changes to the civil rights laws have also sparked intense opposition. Activists are fighting to protect the rights of marginalized communities, who fear that the new laws will lead to further marginalization and discrimination. The protests are a testament to the determination of citizens to stand up for their rights and freedoms.

**Concerns Around Education and Democracy**

The government’s attempts to undermine public education and democratic institutions have also led to widespread protests. Activists are demanding that the government respect the rights of students, teachers, and educators to access quality education and participate in the democratic process.

Grassroots Movement Takes Center Stage

**Community-Led Protests**

The protests are not just limited to major cities; small towns and rural areas are also seeing significant turnout. In many communities, activists are organizing marches, rallies, and town halls to mobilize support and raise awareness about the issues at hand. This grassroots movement is a testament to the power of community organizing and the ability of ordinary citizens to effect change.

**Everyday People Speak Out**

The protests are not just about politics; they are about people from all walks of life coming together to demand a better future for themselves and their communities. From healthcare workers to students, teachers, and civil rights activists, the protests are a powerful expression of the desire for a more just and equitable society.

Conclusion

The protests are a clear indication that citizens are not going to stand idly by while their rights and freedoms are threatened. The government would do well to listen to the voices of the people and work towards creating a more just and equitable society for all.

**What’s Next?**

The protests are ongoing, and it remains to be seen how the situation will unfold. However, one thing is clear: the people will continue to demand that their voices be heard and their rights be protected.

**Frequently Asked Questions**

Q: What are the main issues driving the protests?

A: The main issues driving the protests are the government’s attempts to dismantle the Affordable Care Act, undermine civil rights laws, and erode public education and democratic institutions.

Q: Who is participating in the protests?

A: People from all walks of life are participating in the protests, including students, teachers, healthcare workers, civil rights activists, and ordinary citizens.

Q: What are the goals of the protests?

A: The goals of the protests are to protect healthcare, civil rights, education, and democracy, and to ensure that the government respects the rights and freedoms of all citizens.

Q: Will the protests continue?

A: Yes, the protests are ongoing, and it remains to be seen how the situation will unfold.

The Backbone of Modern Data Systems

Parker Lennox
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The Backbone of Modern Data Systems

Data Pipelines: Unlocking the Power of Data

What is a Data Pipeline?

A data pipeline is a series of processes and tools that automate the movement and transformation of data from its source to its final destination. This includes ingestion, transformation, storage, and analysis of data to provide insights and support business decisions.

What Makes Up a Data Pipeline?

A typical data pipeline consists of several core stages:

1. Source

The source is where the data originates, such as databases, APIs, logs, or IoT devices.

2. Ingestion

Ingestion involves moving data into the pipeline, whether in batch or real-time.

3. Transformation

Transformation involves cleaning, joining, enriching, or aggregating data to make it usable for analysis.

4. Storage

Storage involves saving the transformed data to a data lake, data warehouse, or operational database.

5. Destination

The final destination is the consumer of the data, which could be a business intelligence tool, reporting dashboard, machine learning system, or analytics app.

Advantages of Data Pipelines

Data pipelines offer numerous benefits, including:

1. Automation and Efficiency

Data pipelines eliminate the need for manual data handling, saving time and reducing errors.

2. Scalability

Modern cloud-based pipelines scale easily to handle large amounts of data.

3. Real-Time Processing

Pipelines can process data in near real-time, enabling fast decision-making and live analytics.

4. Improved Data Quality

Pipelines can include data validation, error handling, deduplication, and transformation logic to ensure clean and consistent data.

5. Support for Complex Architectures

Data pipelines are essential in microservices environments, hybrid clouds, and data mesh architectures.

6. Observability and Monitoring

Tools like Apache Airflow, Dagster, and Prefect offer visibility into pipeline performance, helping detect bottlenecks and failures.

Challenges and Disadvantages

While data pipelines offer many benefits, they also come with challenges:

1. Complexity and Maintenance Overhead

As pipelines scale, so does their complexity, making management and maintenance more difficult.

2. High Costs

Real-time pipelines and cloud storage can incur significant costs if not managed properly.

3. Latency in Batch Pipelines

Batch-oriented pipelines may not be suitable for applications requiring real-time data, introducing delays in data availability.

4. Data Quality Dependency

A pipeline is only as good as the data fed into it. Without proper upstream data governance, the entire system can suffer.

5. Security and Compliance

Ensuring compliance with regulations like GDPR or HIPAA adds another layer of complexity, requiring proper encryption, anonymization, and access control.

6. Tool Overload and Integration Friction

The abundance of tools can make tool selection and integration a daunting task.

New Trends and Emerging Advantages

As the field evolves, new capabilities are transforming how we think about data pipelines:

1. Low-Code/No-Code Pipeline Builders

Platforms like Azure Data Factory, Alteryx, and Power Automate allow non-developers to build pipelines, democratizing data engineering.

2. DataOps and CI/CD for Pipelines

Bringing DevOps practices into data pipelines ensures better testing, versioning, deployment, and rollback, increasing stability and agility.

3. AI-Augmented Pipelines

With built-in ML, pipelines can detect anomalies, self-heal, and optimize performance on the fly.

4. Serverless and Event-Driven Architectures

Services like AWS Lambda and Google Cloud Functions allow pipelines to react to data events without provisioning or managing servers.

5. Unified Batch and Streaming

Frameworks like Apache Beam let you design one pipeline that can handle both batch and real-time data, simplifying architecture and development.

6. End-to-End Observability and Governance

Modern solutions come with deep monitoring, data lineage, and auditing capabilities that enhance trust and compliance.

Conclusion

Data pipelines are no longer just "back-end plumbing" – they are strategic assets that empower organizations to move fast, scale efficiently, and make data-driven decisions. While they come with challenges in cost, complexity, and maintenance, advancements in AI, low-code platforms, and DataOps are helping teams build smarter, more resilient pipelines. As organizations continue to generate and rely on data, investing in robust data pipelines is no longer optional – it’s essential.

FAQ

Q: What is a data pipeline?

A: A data pipeline is a series of processes and tools that automate the movement and transformation of data from its source to its final destination.

Q: What are the core stages of a data pipeline?

A: The core stages of a data pipeline include source, ingestion, transformation, storage, and destination.

Q: What are the advantages of data pipelines?

A: Data pipelines offer numerous benefits, including automation and efficiency, scalability, real-time processing, improved data quality, support for complex architectures, and observability and monitoring.

Q: What are the challenges and disadvantages of data pipelines?

A: Data pipelines come with challenges such as complexity and maintenance overhead, high costs, latency in batch pipelines, data quality dependency, security and compliance, and tool overload and integration friction.

Q: What are the new trends and emerging advantages of data pipelines?

A: New capabilities include low-code/no-code pipeline builders, DataOps and CI/CD for pipelines, AI-augmented pipelines, serverless and event-driven architectures, unified batch and streaming, and end-to-end observability and governance.

Building an AI Agent

Parker Lennox
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Building an AI Agent

What is Conversational AI?

Artificial intelligence systems hold conversations with humans and are interactive. Hence, the name – conversational AI. Traditional chatbots respond to users with pre-programmed responses. At the same time, conversational AI uses natural language processing (NLP) and machine learning to help it understand the context and intent for effective communication with humans. So, it becomes a compatible tool for social beings.

Why Your Business Needs an AI Agent Now?

Think AI agents are just for tech giants? Think again—here’s why every business needs one now:

  • Slash Costs Fast: LITSLINK’s client cut delivery delays by 25% with a custom AI agent, saving time and money.
  • Boost Satisfaction: AI automation drives a 30% customer satisfaction spike.
  • Stay Ahead: From automating FAQs to outsmarting rivals with real-time insights, AI keeps you competitive.

How to Build a Conversational AI: A Step-by-Step Guide

Step 1: Plan Your AI Agent Like a Pro

Autonomous AI agents can function well without human intervention. But only after they are built. In the initial stages, humans need to function with clarity of thought. It’s important to know why you want to build one.

Step 2: Define Your AI Agent’s Winning Purpose

For a seamless user experience, focus on creating interactive personal AI agents. You can do that by ensuring that the agent remembers previous conversations. Thereby ensuring the responses maintain context throughout.

Step 3: Pick the Perfect Tech Stack for Your AI Agent

For a seamless workflow, it is crucial to map out how your AI agent GPT will integrate with existing systems—for example, CRM or databases.

Step 4: Build a Smart AI Model That Delivers

Before coding, ensure you have all the materials in place. Set up the environment with the necessary APIs, libraries, and frameworks. Then, work towards implementing the Natural Language Understanding (NLU). The best AI agents follow this process to understand user input.

Step 5: Train and Test Your AI Agent for Success

Now that we have developed the chatbot, it’s time to run a few tests. The most successful and best AI agents today have gone through rigorous tests.

Step 6: Launch Your AI Agent with Confidence

When deploying your AI agent GPT, do not go all in at once. Roll out the chatbot gradually — start with a subset of users. Monitor the performance, gather the feedback, and then expand, maintaining a lower speed.

Step 7: Monitor and Optimize Your AI Agent for Peak Performance

Deploying the AI agent does not mean your task is over. You must keep them updated. Use strategic practices and pay consistent attention to produce a quality AI model.

Step 8: Monitor and Optimize Your AI Agent for Peak Performance

Assess key metrics like engagement rate, satisfaction score, conversation length, and successful interactions. This is beneficial for teaching AI agents and improving performance. Additionally, pay attention to how users interact with your chatbot. Look beyond what they say to analyze how they say it.

AI Chatbots vs Scripted Bots

AI chatbots are better at natural conversations. They are also flexible in accommodating new situations. However, scripted bots have set responses for queries. They quite literally work according to a script.

Key Takeaways

A conversational AI agent is an effective tool for businesses of all kinds to leverage. Users are beginning to discover its perks. Not only are we seeing a unique crossover between humans and machines, but we are also discovering its crucial role in our daily lives. Amidst a huge demand, why should you delay building your autonomous AI agent?

FAQs

Q: What is conversational AI?
A: Artificial intelligence systems hold conversations with humans and are interactive.

Q: Why do I need an AI agent?
A: An AI agent can slash operational costs by up to 30%, boost customer satisfaction, and stay ahead of the competition.

Q: How do I build a conversational AI?
A: Follow the step-by-step guide to plan, define, build, train, launch, and optimize your AI agent.

Q: What are the benefits of AI agents?
A: AI agents can automate tasks, improve customer satisfaction, and reduce costs.

National Robotics Week: Latest Physical AI Breakthroughs

Emerson Blake
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0
National Robotics Week: Latest Physical AI Breakthroughs

National Robotics Week: Shaping the Future of Intelligent Machines

This National Robotics Week, NVIDIA is highlighting the pioneering technologies that are shaping the future of intelligent machines and driving progress across manufacturing, healthcare, logistics and more.

Physical AI: The Key to Autonomy and Intelligence

Advancements in robotics simulation and robot learning are driving this fundamental shift in the industry. Physical AI enables machines to perceive, plan, and act with greater autonomy and intelligence in real-world environments.

The Role of World Foundation Models

The emergence of world foundation models is accelerating the evolution of AI-enabled robots capable of adapting to dynamic and complex scenarios. These models provide a foundation for robots to learn from and interact with the world around them.

NVIDIA Isaac and GR00T Platforms: Empowering Researchers and Developers

The NVIDIA Isaac and GR00T platforms are empowering researchers and developers to push the boundaries of robotics. By providing robot foundation models like NVIDIA GR00T N1, frameworks such as NVIDIA Isaac Sim and Isaac Lab for robot simulation and training, and synthetic data generation pipelines to help train robots for diverse tasks, developers can focus on innovation and creativity.

Conclusion

This National Robotics Week, NVIDIA is showcasing the latest advancements in robotics and AI. By leveraging technologies like physical AI, world foundation models, and NVIDIA Isaac and GR00T platforms, researchers and developers can create intelligent machines that can adapt to complex scenarios and make a meaningful impact across industries.

FAQs

Q: What is physical AI?
A: Physical AI is a technology that enables machines to perceive, plan, and act with greater autonomy and intelligence in real-world environments.

Q: What is the role of world foundation models in robotics?
A: World foundation models provide a foundation for robots to learn from and interact with the world around them, accelerating the evolution of AI-enabled robots capable of adapting to dynamic and complex scenarios.

Q: How can I get started with NVIDIA Isaac and GR00T platforms?
A: You can learn more about NVIDIA Isaac and GR00T platforms and how to get started with them by visiting the NVIDIA website and exploring the resources available there.

Q: What are some potential applications of AI-enabled robots?
A: AI-enabled robots have the potential to be used in a wide range of industries, including manufacturing, healthcare, logistics, and more. They can be used for tasks such as assembly, inspection, and maintenance, as well as for more complex tasks such as surgery and patient care.

Mobile Wi-Fi Hotspot

Avery Winslow
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Mobile Wi-Fi Hotspot

Set Up a Mobile Hotspot on Your Device

If you’re taking your laptop away from the safe environs of your home or office desk and still want to stay online, you’ve got a couple of choices (assuming it doesn’t have cellular connectivity built in): hunt around for a Wi-Fi network you can connect to or run a Wi-Fi hotspot from your phone.

Running a Hotspot: Advantages and Disadvantages

Running a hotspot from your phone comes with advantages and disadvantages. It’s more secure than a public Wi-Fi network, as you’re in charge, and you may well get better upload and download speeds, too — though this will, of course, depend on the 4G and 5G coverage in your part of the world. On the downside, you may be limited in terms of your data allowance, and battery life on your phone will take a hit.

How to Set Up a Hotspot on Your Device

Set Up a Hotspot on a Pixel

With Android devices, as always, the exact steps vary depending on the manufacturer. These are the steps for using a Pixel device with Android 15:

  1. Open Settings on Android.
  2. Choose Network & Internet > Hotspot & Tethering.
  3. You can toggle Wi-Fi Hotspot from here to enable it, but if you’ve never used the hotspot before, tap on it instead to set your options.
  4. You’ll see options to set the Wi-Fi name and password, which other devices need to connect. You can also set the hotspot to turn itself off automatically if it’s no longer being used and use Instant Hotspot to automatically sign in other devices on your account.
  5. Enable the Use Wi-Fi Hotspot toggle switch.

Note: If you use Android’s Data Saver, which stops some apps from sending or receiving data in the background, you’ll have to turn it off in order to use the hotspot.

Set Up a Hotspot on a Samsung Galaxy

The steps are slightly different for a Samsung Galaxy device loaded with One UI 7:

  1. Open Settings.
  2. Select Connections > Mobile Hotspot and Tethering.
  3. Again, you can toggle Mobile Hotspot on from here, but you may want to tap on it instead to check the network name and password. There’s also an Auto Hotspot feature so you can automatically share with other devices signed in to the same Samsung account and info on how much mobile data has already been shared.
  4. When you’re ready, toggle Mobile Hotspot on.

Set Up a Hotspot on an iPhone

If you’re using an iPhone with iOS 18:

  1. Open Settings in iOS.
  2. Tap Personal Hotspot.
  3. Turn on the Allow Others to Join toggle switch.
  4. Enable Maximize Compatibility if you want to use 2.4GHz Wi-Fi (rather than 5GHz) for the hotspot. It’s slower, but it ensures compatibility with older devices.
  5. The name of the Wi-Fi hotspot will be the name of your iPhone (set in General > About > Name in Settings). The password will be shown on the Personal Hotspot screen, and you can tap on the entry to change it.

Conclusion

Setting up a mobile hotspot on your device is a convenient way to stay connected when you’re on the go. With the right steps, you can set up a hotspot on your Pixel, Samsung Galaxy, or iPhone device, and stay connected to the internet from anywhere.

Frequently Asked Questions (FAQs)

Q: How do I set up a hotspot on my device?

A: The steps for setting up a hotspot vary depending on your device and operating system. For a Pixel device with Android 15, follow the steps outlined above. For a Samsung Galaxy device with One UI 7, follow the steps outlined above. For an iPhone with iOS 18, follow the steps outlined above.

Q: What are the advantages and disadvantages of running a hotspot from my phone?

A: Running a hotspot from your phone is more secure than using a public Wi-Fi network, but it may be limited in terms of your data allowance, and battery life on your phone will take a hit.

Q: Can I use a dedicated hotspot device instead of my phone?

A: Yes, you can use a dedicated hotspot device, like the Netgear Nighthawk M6, which varies in cost from about $500 to $600. It will deliver Wi-Fi 6 speeds to up to 32 devices when supplied with a SIM card.

Download ImagineFX 252

Phil
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0
Download ImagineFX 252

Downloading ImagineFX Issue 252

Downloading the Accompanying Files

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  1. Click on the following link: link to download the issue
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  3. Press the Return key to start the download

Troubleshooting Download Issues

If you encounter any problems downloading the content, please email rob.redman@futurenet.com. We are here to assist you.

Subscribe to ImagineFX

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Conclusion

Thank you for your interest in downloading the accompanying files for ImagineFX issue 252. We hope you enjoy the content and look forward to bringing you more exciting issues in the future.

Frequently Asked Questions

Q: What if I encounter problems downloading the content?
A: Please email rob.redman@futurenet.com for assistance.

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A: Sign up for our daily newsletter to receive the latest design news, reviews, how-tos, and more, as picked by our editors.

DOGE Planning Mega IRS API Hackathon

Jordan Waverly
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0
DOGE Planning Mega IRS API Hackathon

Elon Musk’s Department of Government Efficiency to Host Hackathon for Mega API

Background

Elon Musk’s Department of Government Efficiency (DOGE) plans to host a hackathon next week focused on the creation of a “mega API” that will provide access to taxpayer data, according to Wired.

Organizers and Goals

Wired says the hackathon is being organized by two DOGE staffers at the Internal Revenue Service — Gavin Kliger and Sam Corcos, who’s also CEO at healthtech startup Levels. Corcos has reportedly been telling others at DOGE that his goal is to build “one new API to rule them all.”

Scope and Implications

This would make it easy for cloud providers to access IRS data including taxpayer names, addresses, social security numbers, tax returns, and employment information, which could all be exported to external systems. According to Wired, a third-party party vendor would manage parts of the project, with Palantir “consistently” brought up as a candidate.

Criticisms and Concerns

“It’s basically an open door controlled by Musk for all Americans’ most sensitive information with none of the rules that normally secure that data,” an anonymous IRS worker reportedly told Wired.

Conclusion

The planned hackathon and the creation of a mega API raise significant concerns about the security and privacy of taxpayer data. The fact that a third-party vendor may be involved and that Palantir is being considered as a candidate for the project only adds to the concerns.

FAQs
Q: What is the Department of Government Efficiency (DOGE)?
A: DOGE is a department established by Elon Musk to improve government efficiency.
Q: What is the purpose of the hackathon?
A: The hackathon is intended to create a “mega API” that will provide access to taxpayer data.
Q: Who is organizing the hackathon?
A: The hackathon is being organized by two DOGE staffers at the Internal Revenue Service — Gavin Kliger and Sam Corcos, who’s also CEO at healthtech startup Levels.
Q: What data will be accessible through the mega API?
A: According to Wired, the data that will be accessible through the mega API includes taxpayer names, addresses, social security numbers, tax returns, and employment information.
Q: Who will manage parts of the project?
A: A third-party party vendor will manage parts of the project, with Palantir reportedly being considered as a candidate.
Q: What are the concerns about the project?
A: The project raises concerns about the security and privacy of taxpayer data, as well as the potential for misuse of the data by third-party vendors or external systems.

Boys can also be horse

Phil
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0
Boys can also be horse

Perfume Ads: The Unusual Outcomes of Advertising an Olfactory Product

01. FOR A MAN
This one is a classic. Directed by Jean-Paul Goude, it’s for the fragrance Chanel Égoïste, and over the course of just thirty seconds it manages to make you feel like you’ve been punched in the temple and left for dead by the roadside.

02. Natalie Portman killed in helicopter crash
For two thirds of the runtime, this one seems pretty normal. Natalie Portman has enjoyed a long and no doubt fruitful partnership with Dior, so seeing her in a fragrance ad hardly feels out of pocket.

03. Boys will be horse
Starring Adam Driver and directed by Jonathan Glazer (yes, Under the Skin, The Zone of Interest, that Jonathan Glazer), this Burberry Hero ad poses many questions about what it is to be a man, what it is to be a horse, and what it is to be a man-horse.

04. Bottle too big
Okay, I can admit that by the standards we’ve established so far, this one is not that strange. At first glance, you might not see anything amiss. Marc Jacobs is hawking his Daisy fragrance with some loose, vibey shots of young women in a field.

05. Wet leg
There is a fair amount to like about this 1977 Rive Gauche ad, not least the disco banger that underscores the adventures of our independent woman protagonist. ‘The girl who’s so contemporary, she’s having too much fun to marry,’ the chorus sings, and you can believe it.

06. The Gravité Prison Experiment
‘Your presence is craved,’ claims this ad for Gravité Cologne by Particle, and they’re going to prove it with science. They’re going to blindfold a group of models, who can all deliver a line at maybe 7/10 on the convincingness scale, and then they’re going to introduce to the room a man who has doused himself in Gravité.

07. Check out my new nepo, nepo of choice
Finally, no roundup of perfume ads is complete without this stone-cold classic for Kenzo World. Directed by Spike Jonze, the ad stars a pre-megastardom Margaret Qualley as a woman who excuses herself from a dull gala dinner, and once she’s alone in the lobby, throws herself into a spectacular dance sequence.

Conclusion
Perfume ads are uniquely difficult to advertise via a visual medium, leading to some unusual outcomes. From the abstract and bizarre to the surreal and absurd, these ads are a testament to the creativity and innovation of the advertising industry. While some may be more effective than others, they all share a common goal: to sell a product without being able to convey its defining feature.

FAQs

Q: What is the unique challenge of advertising perfume?
A: The unique challenge of advertising perfume is that it is an olfactory product, and as such, it cannot be conveyed through visual or auditory means. This makes it difficult to effectively advertise and sell the product.

Q: What are some examples of unusual perfume ads?
A: Some examples of unusual perfume ads include the Chanel Égoïste ad, which features a parade of French women screaming and shouting, and the Kenzo World ad, which stars Margaret Qualley in a spectacular dance sequence.

Q: Why are perfume ads so challenging to create?
A: Perfume ads are challenging to create because they must find a way to convey the scent and essence of the product without using visual or auditory means. This requires creative and innovative approaches to advertising.

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