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Senator Warns of National Security Risks After DOGE Granted Access to Treasury Systems

Jordan Waverly
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0
Senator Warns of National Security Risks After DOGE Granted Access to Treasury Systems

Elon Musk’s Team Granted Access to US Treasury Payments System, Raises National Security Concerns

Sen. Ron Wyden, a Democratic senator from Oregon and ranking member of the Senate Finance Committee, has expressed concerns over the granting of “full access” to a U.S. Treasury payments system to representatives of Elon Musk, citing a national security risk.

Access Granted to Highly Sensitive System

According to Wyden, sources told his office that Treasury Secretary Scott Bessent gave Musk’s team, known as the Department of Government Efficiency (DOGE), authorization to access the highly sensitive Treasury system on Friday. The authorization comes after a standoff earlier in the week, in which the Treasury’s highest-ranking career official left the department following requests from Musk’s team for access to the system.

Scope of Access

Wyden stated that DOGE’s access includes Social Security and Medicare benefits, grants, and payments to government contractors, including those that compete directly with Musk’s own companies. “All of it,” wrote Wyden in a post on Bluesky.

Bureau of the Fiscal Service’s Payment System

The system run by the Treasury’s Bureau of the Fiscal Service controls the disbursements of around $6 trillion in federal funds to American households, including Social Security and Medicare benefits, tax refunds, and payments to U.S. federal employees and contractors. Access to the payments system was historically limited to a few staff because it contains personal information about millions of Americans who receive payments from the federal government.

National Security Concerns

Wyden expressed concerns that Musk’s extensive business operations in China “endangers U.S. cybersecurity” and creates conflicts of interest that “make his access to these systems a national security risk.” The Biden administration has previously blamed China for a series of intrusions targeting U.S. critical infrastructure and the theft of senior American officials’ phone records.

DOGE’s Efforts to Take Over Federal Government Systems

This is the latest effort by Musk and his associates to take over the inner workings of the U.S. federal government, following President Trump’s return to office on January 20. Following his inauguration, Trump ordered Musk to begin making widespread cuts to federal government spending.

Other Federal Departments Under Scrutiny

Several other federal departments are under scrutiny by DOGE, including the federal government’s own human resources department, known as the Office of Personnel Management. Reuters reported that Musk’s representatives locked out career civil servants from computer systems, which contain the personal data and human resources files of millions of federal employees.

Conclusion

The granting of access to the U.S. Treasury payments system to Elon Musk’s team raises serious concerns about national security and the potential for conflicts of interest. Sen. Wyden’s warnings about the risks of granting access to sensitive systems to individuals with significant business interests in China are well-founded.

FAQs

Q: What is the Department of Government Efficiency (DOGE)?
A: DOGE is a team led by Elon Musk that is working to take over the inner workings of the U.S. federal government.

Q: What is the scope of DOGE’s access to the Treasury payments system?
A: DOGE has been granted full access to the Treasury payments system, which includes Social Security and Medicare benefits, grants, and payments to government contractors.

Q: Why is Sen. Wyden concerned about DOGE’s access to the Treasury payments system?
A: Wyden is concerned that DOGE’s access to the system poses a national security risk due to Musk’s extensive business operations in China and potential conflicts of interest.

Q: What other federal departments are under scrutiny by DOGE?
A: The Office of Personnel Management is one of the federal departments under scrutiny by DOGE, following reports that Musk’s representatives locked out career civil servants from computer systems containing personal data and human resources files of millions of federal employees.

Mastering Machine Learning Algorithms

Parker Lennox
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Mastering Machine Learning Algorithms

Why Machine Learning Matters

Imagine a doctor treating diabetic retinopathy with a machine-learning app in rural India by examining a retinal scan—with 95% accuracy; a self-driving car drives through Mumbai chaos, avoiding pedestrians and potholes like an experienced driver would. A farmer in Kenya receives a text to his cell phone from an algorithm analyzing weather patterns and soil data on the best day to plant crops. These aren’t hypothetical scenarios. They’re real-world examples of machine learning in action, and they’re just the beginning.

Solving real-life challenges to save lives and create opportunities will remain the heart of machine learning. This is converting into usable insights the monstrous avalanche of data generated by mankind every day—2.5 quintillion bytes—to put it in perspective. Machine Learning empowers the machine to learn from experience, adjust to new inputs, and render judgments that were once the exclusive territory of the human.

Machine Learning in Action

  • Healthcare: Machine learning algorithms help doctors detect diseases, such as cancers, earlier and more accurately. Google’s DeepMind has, for instance, developed an AI system that can predict acute kidney injury up to 48 hours in advance—an effort that could save many lives.
  • Retail: Amazon’s recommendation engine, based on machine learning, drives 35% of its total sales. It’s not just about recommendations; it’s about knowing what you want before you do.
  • Finance: Fraud detection systems powered by ML analyze millions of transactions in real time. An example is PayPal, which relies on machine learning to prevent fraudulent transactions each year and save billions of dollars.
  • Agriculture: Programs such as those by Blue River Technology applying machine learning render “smart farming” possible, wherein robots distinguish weeds and spray them with great precision, reducing herbicide use by about 90%.

The Future of Machine Learning Algorithms

Generative AI: The Machines as Creators

Generative AI, using a generative algorithm such as ChatGPT and DALL-E, is a creative revolution. These models use voluminous training data to generate human-like text, images, and even music.

  • ChatGPT is trained on large-scale datasets in human language, making it useful for automating customer interactions, generating content, and supporting research and other business tasks.
  • DALL-E: DALL-E is an image-generation AI that takes text prompts and turns them into pretty much any image you want. It offers the ability to help industries like marketing, entertainment, and design to create creative content democratization.

Federated Learning: Privacy-Preserving AI

Federated learning is a way to train machine-learning models on data across decentralized devices without sharing user data because of concerns over data privacy.

  • How It Works: The data will remain on user devices (smartphones, tablets) while the model learns patterns by locally aggregating insights.
  • Real-World Example: The Gboard keyboard from Google applies federated learning to enhance text predictions without undermining privacy.

Quantum Machine Learning: Unlocking Unimaginable Power

Traditional computing has limitations when handling massive datasets and complex problems. Quantum machine learning (QML), powered by quantum computers, will transform this field by exponentially speeding up computational tasks.

  • How It Works: Quantum computers use qubits (quantum bits) to accomplish many calculations at once, thus enhancing the speed and efficiency of the machine-learning procedure.
  • Potential Applications: Financial modeling, drug discovery, climate prediction, and secure cryptographic systems.

Wrapping Up

With a significant impact across industries, these ML algorithms automate processes and provide foresight for informed decision-making.

Despite their prevalence, the intricacies of these algorithms remain enigmatic to many. As these algorithms advance, they herald a future where artificial intelligence seamlessly integrates into daily life, enhancing efficiency and decision-making.

FAQs

Q: What is machine learning?
A: Machine learning is a subset of artificial intelligence that enables machines to learn from experience and improve their performance on a task over time.

Q: What are some real-world examples of machine learning?
A: Real-world examples of machine learning include Netflix recommendations, self-driving cars, and medical diagnoses.

Q: What is the future of machine learning?
A: The future of machine learning includes the development of generative AI, federated learning, and quantum machine learning, which will transform industries and revolutionize the way we live and work.

Q: How does machine learning work?
A: Machine learning works by training algorithms on large datasets, which enables them to learn patterns and make predictions or decisions.

Q: What are the benefits of machine learning?
A: The benefits of machine learning include improved decision-making, increased efficiency, and enhanced customer experiences.

The Fed Is Sitting on the Sidelines

Avery Winslow
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0
The Fed Is Sitting on the Sidelines

The Relative Calm May Not Last

A Deluge of Disruptive Trump Policies Looms

The relative calm in the markets may not survive the upheaval in the A.I. sector and a deluge of disruptive Trump policies, our columnist says.

A.I. Sector in Turmoil

The A.I. sector has been a bright spot in the market, with companies like Alphabet’s Google, Amazon, and Facebook leading the charge. However, the sector is facing increasing scrutiny from regulators and lawmakers, who are concerned about the potential risks and biases of A.I. systems.

Regulatory Crackdown

The European Union’s General Data Protection Regulation (GDPR) has already led to a crackdown on A.I. companies, with fines imposed on companies like Google and Facebook for violating the regulation. The U.S. Federal Trade Commission (FTC) is also increasing its scrutiny of A.I. companies, with a focus on issues like bias and transparency.

Disruptive Trump Policies

President Trump’s administration has been marked by a series of disruptive policies, from trade tariffs to immigration restrictions. The impact of these policies on the market has been significant, with many companies feeling the pinch.

Tariffs and Trade Wars

The tariffs imposed by the Trump administration have led to a trade war with China, with both countries imposing tariffs on each other’s goods. This has led to a decline in global trade and a rise in prices for consumers.

Immigration Restrictions

The Trump administration’s immigration restrictions have also had a significant impact on the market, with many companies struggling to find skilled workers.

Conclusion

The relative calm in the markets may not survive the upheaval in the A.I. sector and a deluge of disruptive Trump policies. The A.I. sector is facing increasing scrutiny from regulators and lawmakers, while the Trump administration’s policies are having a significant impact on the market.

FAQs

Q: What is the impact of the GDPR on A.I. companies?
A: The GDPR has led to a crackdown on A.I. companies, with fines imposed on companies like Google and Facebook for violating the regulation.

Q: What is the impact of the Trump administration’s policies on the market?
A: The Trump administration’s policies, including tariffs and immigration restrictions, have had a significant impact on the market, leading to a decline in global trade and a rise in prices for consumers.

Q: What is the future of the A.I. sector?
A: The future of the A.I. sector is uncertain, with the sector facing increasing scrutiny from regulators and lawmakers. However, many experts believe that A.I. will continue to play a major role in the economy, despite the challenges it faces.

Think Deeper for Free

Emerson Blake
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0
Think Deeper for Free

Available to all Copilot users

On Wednesday, Microsoft AI CEO Mustafa Suleyman shared via an X post that the Think Deeper feature was made available for all Copilot users at no additional cost. The feature leverages OpenAI’s O1 reasoning model to deliver higher-quality responses to complex prompts.

What is Think Deeper?

The O1 model was trained to "think before it speaks," and as a result, takes a bit longer to process your query — around 30 seconds, according to Microsoft. This is especially useful for STEM-related tasks such as coding, analysis, and advanced math problems. Other use cases include in-depth advice and planning.

How does it work?

Think Deeper helps you by providing higher-quality responses to complex prompts. It’s especially useful for tasks that require advanced reasoning and problem-solving skills. The feature is available for all Copilot users, including those who are not subscribers to Copilot Pro.

Accessing Think Deeper

To access the feature, sign into Copilot using your Microsoft account. Once you do, next to the text box, you will see the "Think Deeper" button, which you can click to activate the model when answering your prompt. As a free user, I already had access to the feature.

How to use Think Deeper

Upon clicking "Think Deeper," you will be given sample prompts. Beyond this feature, Suleyman shared that Microsoft has so much more in the pipeline. After trailing behind OpenAI for a bit, Microsoft may be gearing up to reclaim its throne.

Conclusion

Think Deeper is a powerful feature that can help you with complex tasks and problems. With its advanced reasoning model, it can provide higher-quality responses to complex prompts. And the best part is that it’s available for all Copilot users, including those who are not subscribers to Copilot Pro.

Frequently Asked Questions

Q: What is Think Deeper?
A: Think Deeper is a feature in Copilot that leverages OpenAI’s O1 reasoning model to deliver higher-quality responses to complex prompts.

Q: What is the O1 model?
A: The O1 model was trained to "think before it speaks," and as a result, takes a bit longer to process your query — around 30 seconds, according to Microsoft.

Q: How do I access Think Deeper?
A: To access the feature, sign into Copilot using your Microsoft account. Once you do, next to the text box, you will see the "Think Deeper" button, which you can click to activate the model when answering your prompt.

Q: Is Think Deeper only available to Copilot Pro subscribers?
A: No, Think Deeper is available for all Copilot users, including those who are not subscribers to Copilot Pro.

Birth of the One-Person Unicorn: A Societal Cost

Avery Winslow
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0
Birth of the One-Person Unicorn: A Societal Cost

In Humans We Trust

Thanks to the advent of cloud computing and distributed digital infrastructure, the one-person micro-enterprise is far from a novel concept. Cheap on-demand compute, remote collaboration, payment processing APIs, social media, and e-commerce marketplaces have all made it easier to “go it alone” as an entrepreneur.

Historically, scaling that one-person business into something meatier — an enterprise of unicorn proportions — would have been an unfathomably tough task, due to the skills and resources required, not only to scale a product but also to grow and maintain a sufficiently bountiful customer base. But AI agents could unshackle the would-be solo-preneurs of the world.

The Era of AI Employees

AI agents are all about embedding human workflows into software, freeing the human to do more in less time. Agents can be assigned tasks, and they can make decisions with varying degrees of autonomy. Multiple AI agents could even collaborate on complementary tasks, paving the way for getting some real work done entirely autonomously.

In an interview last year with Reddit co-founder Alexis Ohanian, OpenAI’s Sam Altman predicted this exact scenario.

Manager of AIs

There was a general consensus among the panel that regardless of the rate of change, everyone will have to learn not only to live with AI, but also learn how to use it to thrive in the workplace.

With You.com, for example, companies can access its API to bring real-time web search to any large language model (LLM). While it offers its own suite of agents for specific tasks, companies can also create their own custom agents, choosing their preferred AI model and giving it instructions based on whatever sources of data they need to connect.

Conclusion

The reality is, we might actually end up in a place where companies have always started out: a founding team with complementary skill sets. But rather than scaling through incremental hiring, they maintain that initial slenderness with AI agents plugging the gap.

Trump’s Tax Impact

Avery Winslow
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0
Trump’s Tax Impact

President Trump Imposes Tariffs on Canada, Mexico, and China

Executive Orders Signed on February 1st

President Donald Trump has announced that he’s imposing a tariff on goods from some of the US’s biggest trade partners: Canada, Mexico, and China. Under the executive orders signed on February 1st, Canada and Mexico will face a 25 percent tariff, while goods from China will be subject to a 10 percent tax. Energy resources from Canada will also have a lower 10 percent tariff.

Reasoning Behind the Tariffs

Trump positioned the tariffs as a way to “halt the flood of poisonous drugs into the United States,” referring to fentanyl. The change will have a big impact on the cost of a wide variety of goods imported from each country, including electronics, produce, clothing, and much more.

Impact on Consumers

Though Trump previously said the tariffs will “enrich” citizens, consumers are expected to bear the brunt of the fees as they typically lead to higher prices. This means that the cost of goods imported from Canada, Mexico, and China will increase, affecting consumers and businesses alike.

Latest News and Developments

  • Trump imposes sweeping tariffs on Canada, Mexico, and China
  • Canadian officials have reportedly been notified of tariffs
  • Trump says he’ll put tariffs on imported chips ‘in the near future’

Conclusion

The tariffs imposed by President Trump on Canada, Mexico, and China are expected to have a significant impact on international trade and consumer prices. While the intention behind the tariffs is to combat the flow of drugs into the US, it remains to be seen how effective they will be in achieving this goal. As the situation unfolds, it will be important to monitor the effects of the tariffs on the economy and consumer prices.

Frequently Asked Questions

Q: What are the tariffs imposed on Canada, Mexico, and China?
A: The tariffs imposed are 25% on Canada and Mexico, and 10% on China. Energy resources from Canada will have a lower 10% tariff.

Q: Why are the tariffs being imposed?
A: The tariffs are being imposed to “halt the flood of poisonous drugs into the United States,” referring to fentanyl.

Q: How will the tariffs affect consumers?
A: The tariffs are expected to lead to higher prices for goods imported from Canada, Mexico, and China, affecting consumers and businesses alike.

Q: Will the tariffs benefit the US economy?
A: The impact of the tariffs on the US economy is still uncertain and will depend on various factors, including the effectiveness of the tariffs in combating drug trafficking and the response of other countries to the tariffs.

AI Adoption on the Rise

Emerson Blake
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0
AI Adoption on the Rise

Businesses Leverage Agentic AI to Deliver Greater Value

Businesses are seeing greater adoption of agentic AI, enhancing their ability to deliver greater value at the speed of need by leveraging digital labor across all lines of business.

AI Adoption Surpass Projections

According to the 2025 Connectivity Benchmark Report by MuleSoft and Deloitte Digital, 93% of IT leaders report intentions to introduce autonomous AI agents within the next two years, and nearly half have already done so.

Disconnected Data Strains IT Resources

Disconnected data remains an overwhelming blocker to legacy modernization for the majority of organizations. Today, 83% of organizations report that integration challenges are a significant barrier to their legacy modernization efforts.

Rising Demand for AI Agents Fuel the Need for Robust Integration

The number of apps in the enterprise is growing, with an average of 897. Concerningly, only 2% of IT leaders report their organizations have integrated more than half of their applications.

Conclusion

The 2025 Connectivity Benchmark Report highlights the importance of automation, with central IT teams governing 70% of automation. A well-rounded automation strategy is considered essential for effectively integrating AI into an organization.

FAQs

Q: What percentage of IT leaders report intentions to introduce autonomous AI agents within the next two years?
A: 93%

Q: What is the average number of apps used by respondents?
A: 897

Q: What percentage of organizations report that integration challenges are a significant barrier to their legacy modernization efforts?
A: 83%

Q: What is the average number of AI models estimated to be used?
A: 18

Q: What percentage of IT leaders expect an increase in their overall budget in 2025?
A: 85%

Q: What is the primary obstacle to AI implementation?
A: Integration and legacy debt

A.I. Agent

Avery Winslow
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0
A.I. Agent

Article

In the Past Week, OpenAI’s Operator Has Done the Following Things for Me

  • Ordered me a new ice cream scoop on Amazon.
  • Bought me a new domain name and configured its settings.
  • Booked a Valentine’s Day date for me and my wife.
  • Scheduled a haircut.

These tasks were mostly accomplished autonomously, although I did have to nudge it along from time to time and occasionally rescue it from a loop of failed attempts.

What is OpenAI’s Operator?

Operator is a new AI agent released by OpenAI, available only to users who pay $200 a month for the company’s highest subscription tier, ChatGPT Pro. It allows users to direct an AI agent that can use a web browser, fill out forms, and take other actions on a user’s behalf.

How Does Operator Work?

Operator looks a bit like regular ChatGPT, except when you give it a job – "Buy me a 30-pound bag of dog food on Amazon," for example – Operator opens a miniature browser window, types "Amazon.com" into the address bar, and starts clicking around, trying to follow your instructions. It might ask a few clarifying questions, and then, once it’s feeling confident, Operator prompts you for a final confirmation, puts the dog food in your cart, and places the order.

Impressive Capabilities

Operator did impressively well on a few relatively simple tasks I gave it:

  • It successfully ordered lunch on DoorDash for my colleague Mike and sent it to his house.
  • It responded to hundreds of unread LinkedIn messages for me, after I gave it control of my LinkedIn profile.
  • It made $1.20 for me by setting up accounts on websites that offer small cash rewards for filling out surveys.

Limitations and Failures

However, Operator also failed at a bunch of other tasks and revealed its limitations:

  • It couldn’t scan my recent columns and add them to my personal website, because Operator’s browser was blocked from entering the Times’s website.
  • It wouldn’t play online poker for me.
  • It was prevented from logging into a number of sites by CAPTCHA tests.

Conclusion

Using Operator was usually more trouble than it was worth. Most of what it did for me I could have done faster myself, with fewer headaches. Even when it worked, it asked for so many confirmations and reassurances before acting that I felt less like I had a virtual assistant and more like I was supervising the world’s most insecure intern.

FAQs

Q: What is OpenAI’s Operator?
A: OpenAI’s Operator is a new AI agent that can use a web browser, fill out forms, and take other actions on a user’s behalf.

Q: How does Operator work?
A: Operator opens a miniature browser window, types the website’s URL into the address bar, and starts clicking around, trying to follow the user’s instructions.

Q: What are the limitations of Operator?
A: Operator is still in its early stages and has limitations, including difficulty with CAPTCHA tests, inability to access certain websites, and need for human intervention to complete tasks.

Q: Is Operator worth the $200 monthly fee?
A: Not at this stage, as most of what it does can be done faster and with fewer headaches by humans. However, it’s an intriguing demo of what AI agents can do, and future versions may be more capable.

How to Integrate NVIDIA DLSS 4 with NVIDIA Streamline

Jordan Waverly
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0
How to Integrate NVIDIA DLSS 4 with NVIDIA Streamline

NVIDIA DLSS 4: Enhanced Features for GeForce RTX 50 Series GPUs

Streamline SDK Integration Overview

The NVIDIA Streamline SDK is an open-source framework that simplifies the integration of NVIDIA DLSS and various super-resolution technologies from other hardware vendors into games and applications. It enables you to implement multiple upscaling solutions through a single integration point within your game engine.

Figure 1. Streamline SDK Architecture

To add Streamline to your application, follow the Streamline Manual Hooking guide. Integrate without any features and focus on tasks such as manual hooking and resource state tracking.

Verify the NVIDIA and Streamline dual signatures on sl.itnerposer.dll before loading the DLL. Follow the verification process within the Security section of the programming guide.

Check for system (hardware and software) support for each of the DLSS 4 features and show appropriate error messages to end users based on reported hardware support.

DLSS Multi Frame Generation Integration Overview

DLSS Frame Generation is an NVIDIA technology that uses AI to generate additional frames between existing ones in game, significantly boosting frame rates and enabling smoother gameplay on NVIDIA GeForce GPUs.

Figure 4. With and without DLSS Ray Reconstruction

Ray Reconstruction Integration Checklist

Here’s the integration checklist:

  • A game-specific application ID is used during initialization.
  • Both DLSS Ray Reconstruction and DLSS Super Resolution are integrated at the start, or as close to the start as possible, of post-processing.
  • Other denoisers in your pipeline, such as NRD, are completely disabled.
  • DLSSDPreset is set to eDefault if you previously set it to ePresetA or ePresetB.
  • Mip-map bias is set when DLSS Ray Reconstruction is enabled. Without this, textures will look blurry, smudgy, or low-resolution.
  • The required buffers are provided.
  • The Inverted Depth bit is set if the depth buffer provided has inverted z ordering.
  • Motion vectors and specular motion vectors for all scenes, materials, and objects are accurate.
  • Static scenes resolve and compatible jitter is confirmed. Incorrect or missing jitter can lead to poor anti-aliasing and increased flickering.
  • DLSS modes are queried and user-selectable in the user interface or dynamic resolution support is active and tested.
  • A DLSS RR enable and disable toggle is available.
  • The full production, non-watermarked DLSS Ray Reconstruction library (nvngx_dlssd.dll) is packaged in the release build.
  • The Camera Reset flag is passed on scene changes, view changes such as first person to third person, or during camera jumps in cutscenes.
  • NGX cleanup and shutdown procedures are performed when DLSS is no longer needed. Otherwise, you’ll leak resources and memory.

Summary

In this post, I explained how to integrate DLSS 4 features, with a focus on the Streamline SDK for simplified plugin integration. For more information about how to get started today, see NVIDIA DLSS.

FAQs

Q: What is NVIDIA DLSS 4?
A: NVIDIA DLSS 4 is the latest iteration of DLSS introduced with the NVIDIA GeForce RTX 50 Series GPUs.

Q: What are the new features in DLSS 4?
A: DLSS 4 includes several new features, including Multi Frame Generation, DLSS Ray Reconstruction, and DLSS Super Resolution (Beta).

Q: How do I integrate DLSS 4 with my game engine?
A: You can integrate DLSS 4 with your game engine using the Streamline SDK, which provides a plug-and-play framework for simplified plugin integration.

Q: What is the Streamline SDK?
A: The Streamline SDK is an open-source framework that simplifies the integration of NVIDIA DLSS and various super-resolution technologies from other hardware vendors into games and applications.

Ask For Me

Emerson Blake
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0
Ask For Me

Hate calling a business to ask about pricing? A new Google feature can handle that for you.

Experimental Phase

A feature called "Ask for Me" has popped up under the AI experiments category in Google Labs. Instead of calling a company yourself, you can let Google’s AI do it for you, handling tasks like finding the best price and checking product availability.

When you use Ask for Me, a realistic-sounding AI will contact businesses, compile options, and get back to you within 30 minutes. It works much like the Duplex feature from 2019, which would call a restaurant for you to place a reservation.

How to Use Ask for Me

Ask for Me works in either the Chrome web browser for desktop or mobile. It’s not fully open to the public yet, so you’ll need to head to the Ask for Me page on Google Labs to join the waitlist.

In example images, Google shows how the feature works.

When you search for an eligible business, an "Ask for Me" button will appear. Tap it, and you’ll see options to choose from. The auto service business shows choices like tire rotation, filter replacement, tire balancing, oil change, and scheduled maintenance. The nail salon shows choices like nail art, gel manicure, acrylic manicure, dip powder, or polish change.

Limitations

The feature is in an experimental phase, Google warns, and isn’t available for all service types. Google didn’t specify exactly which services it is available for, but images only show requests for auto maintenance and nail salon pricing. The description says it’s for "local services like ‘oil change’ or ‘nail salons nearby,’" so it’s possible that’s it for now.

Conclusion

Ask for Me is a innovative feature that aims to make our lives easier by handling tedious tasks for us. While it’s still in the experimental phase, it’s an exciting development in the world of AI-powered assistants. With the ability to get pricing and availability information without having to make the call ourselves, it’s likely to be a hit with those who value convenience.

FAQs

Q: What is Ask for Me?
A: Ask for Me is a Google feature that allows you to ask a business questions, such as pricing and availability, through a realistic-sounding AI.

Q: How do I use Ask for Me?
A: Ask for Me is available in the Chrome web browser for desktop or mobile. You’ll need to join the waitlist on the Ask for Me page on Google Labs to start using it.

Q: What types of services is Ask for Me available for?
A: Ask for Me is currently available for local services like auto maintenance and nail salons.

Q: Is Ask for Me fully open to the public?
A: No, Ask for Me is still in the experimental phase and not fully open to the public. You’ll need to join the waitlist to start using it.

Q: How long does it take to get a response from Ask for Me?
A: Ask for Me aims to provide a response within 30 minutes.

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