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Kia’s next EV is the affordable, long-range EV4 sedan.

Avery Winslow
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Kia’s next EV is the affordable, long-range EV4 sedan.

Kia Unveils Affordable Electric Vehicle Options with EV4 Sedan and Hatchback

Introduction

Kia has announced the release of its new electric vehicle (EV) options, the EV4 sedan and hatchback, which will be available in two versions. The EV4 sedan and hatchback will be Kia’s first mass-market electric vehicles, aiming to provide a more affordable option for car buyers.

Design and Features

The EV4 sedan has a unique design, with a funky rear that stretches out to resemble a traditional 4-door car. The hatchback version, on the other hand, has a sporty hot-hatch look and will primarily be available in the European market. Both vehicles will feature a single-motor front-wheel drive system, producing 150kW of power and achieving a 0-62 mph acceleration time of 7.4 seconds.

Charging and Range

The EV4 will run on a 400-volt version of Kia’s E-GMP platform, which can charge 10 to 80 percent in as little as 31 minutes. The vehicles will have a range of up to 630km (391 miles) with the larger 81.4 kWh battery option and 430km (267 miles) with the smaller 58.3 kWh battery. These estimates are based on Europe’s more generous WLTP standards.

Technology and Entertainment

The EV4 features a 30-inch widescreen display, which includes a side-by-side instrument cluster and infotainment screens. It also comes with Kia’s latest "connected car Navigation Cockpit (ccNC) software, offering entertainment options like YouTube, Netflix, games, and more through an app store. Additionally, the vehicle offers an AI voice assistant, Apple Watch digital key access, V2L for powering household devices, and a "Smart Cruise Control 2" advanced driver-assistance system with lane keeping.

EV2 Mini-SUV

Kia’s concept EV2, which was spotted in camouflage last year, is expected to be even more affordable than the EV4. The mini-SUV will be Kia’s "smallest EV yet" and will feature options for reconfiguring seating to maximize front row space for lounging or for rear cargo. It will also come with perks like removable portable speakers for tailgating.

Launch and Pricing

The EV4 sedan will initially be built in Korea and will launch in the middle of March. The EV4 hatchback will be produced in Slovakia and will launch in Europe in the second half of 2024. The North American version of the sedan will be produced "later in the year." The EV2 will launch in 2026 for Europe and other regions, although its US availability is yet to be confirmed.

Pricing

Kia President Ho Sung Song announced that the EV4 will start at 37,000 euros (approximately $38,500), with an initial run of 160,000 units, of which 80,000 are destined for North America.

Conclusion

The EV4 and EV2 will provide a more affordable option for car buyers looking for an electric vehicle. With its mass-market pricing, Kia aims to make electric vehicles more accessible to a wider audience. The EV4 and EV2 will be a great alternative to the Tesla Model 3 and other electric vehicles on the market.

Frequently Asked Questions

Q: What is the range of the EV4?
A: The EV4 has a range of up to 630km (391 miles) with the larger 81.4 kWh battery option and 430km (267 miles) with the smaller 58.3 kWh battery.

Q: What is the power output of the EV4?
A: The EV4 has a power output of 150kW.

Q: What is the 0-62 mph acceleration time of the EV4?
A: The EV4 has a 0-62 mph acceleration time of 7.4 seconds.

Q: When will the EV4 be available in North America?
A: The North American version of the EV4 will be produced "later in the year."

Q: What is the price of the EV4?
A: The EV4 will start at 37,000 euros (approximately $38,500).

Establishing a Secure Connection to the AWS Elastic Beanstalk Application

Parker Lennox
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Establishing a Secure Connection to the AWS Elastic Beanstalk Application

Requesting a SSL/TLS Certificate

In the ACM console, click Request.

Configuring a Secure Listener

Create a configuration file named alb-secure-listener.config in the .ebextensions directory with the following contents, and set the value of SSLCertificateArns to the ARN noted in the previous step.

Redirecting HTTP Traffic to HTTPS Traffic

Create a configuration file named alb-http-to-https-redirection.config in the .ebextensions directory with the following contents.

References

  • Configuring end-to-end encryption in a load-balanced Elastic Beanstalk environment
  • [1] Elastic Beanstalk Environment Configuration File

Conclusion

By requesting a SSL/TLS certificate, configuring a secure listener, and redirecting HTTP traffic to HTTPS traffic, you can ensure that your Django site is served over a secure connection.

FAQs

Q: What is the purpose of requesting a SSL/TLS certificate?
A: To ensure that the data exchanged between the browser and the application is encrypted.

Q: What is the purpose of configuring a secure listener?
A: To configure the load balancer to use the SSL/TLS certificate for secure communication.

Q: What is the purpose of redirecting HTTP traffic to HTTPS traffic?
A: To ensure that all traffic to the site is served over a secure connection.

Q: Can I deny public access to my Django site?
A: Yes, you can remove the corresponding domain name from the ALLOWED_HOSTS list in the settings.py file or set up additional listener rules in the load balancer.

The Evolution from Chatbots to Independent Decision-Makers

Parker Lennox
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The Evolution from Chatbots to Independent Decision-Makers

The Rise of Autonomous AI Agents

In a world where machines not only follow commands but also think, learn, and make independent decisions, autonomous AI agents are transforming technology, business, and society. These intelligent systems have evolved far beyond basic chatbots, becoming sophisticated entities capable of handling complex tasks autonomously. This shift is revolutionizing industries by automating decision-making processes, enhancing efficiency, and driving innovation.

AI agents began with simple rule-based systems and progressed through stages of machine learning, allowing them to learn from data and adapt over time. As these systems became more advanced, they incorporated deep learning, neural networks, and reinforcement learning, enabling them to make informed decisions in dynamic environments.

The Early Days of AI Agents

Definition and Function of Early Rule-Based AI Agents

The earliest AI agents were rule-based systems designed to mimic human interaction in simple and controlled ways. These agents operated based on pre-programmed responses, following strict rules and decision trees that guided their interactions. Rule-based systems were limited in their capabilities, relying on fixed scripts to guide conversations, with no ability to adapt or learn from user inputs.

What is an Autonomous AI Agent?

An autonomous AI agent is a system capable of perceiving its environment, making independent decisions, and executing tasks without direct human intervention. Unlike traditional software programs, these agents can learn, adapt, and improve their performance over time. They are widely used in various industries, including healthcare, finance, logistics, and customer service. Based on their capabilities, autonomous agents can be classified as reactive, deliberative, learning, or hybrid agents.

Popular Early Examples

Some of the first AI agents to emerge were ELIZA and early customer service bots:

  • ELIZA (1960s): A primitive chatbot that simulated human conversation using keyword recognition and pattern-matching techniques. While groundbreaking, it lacked true understanding and relied on scripted responses.
  • Early Customer Service Bots

Ethical Considerations

As AI agents become more autonomous, ethical considerations such as transparency, accountability, and bias in decision-making are critical. Ensuring that these agents operate fairly and transparently is essential for maintaining trust and avoiding unintended consequences.

Key Innovations Driving the Evolution

  • Deep Learning Advancements

Recent advancements in deep learning have significantly enhanced AI agents’ capabilities by enabling them to process vast amounts of complex data with improved accuracy. Techniques such as transformer models, convolutional neural networks (CNNs), and generative adversarial networks (GANs) allow AI to recognize patterns, generate content, and make predictions with minimal human intervention. 

  • Reinforcement Learning Techniques

Reinforcement learning (RL) empowers AI agents to improve their decision-making over time by learning through trial and error. By leveraging reward-based feedback mechanisms, AI systems can develop strategies that maximize long-term gains in complex, dynamic environments. 

Takeaways

Incredible advancements have marked the evolution of AI agents, from the early days of rule-based chatbots to the sophisticated autonomous decision-makers we see today. With the ongoing development of deep learning, reinforcement learning, and generative AI, the future of AI agents looks promising. Businesses must embrace these advancements to stay competitive in an increasingly AI-driven world.

If you’re ready to explore how autonomous AI agents can drive growth and innovation for your business, contact LITSLINK. Our software development expertise can help you leverage the power of AI to create smarter, more efficient solutions that meet your needs.

FAQs

Q: What is an autonomous AI agent?
A: An autonomous AI agent is a system capable of perceiving its environment, making independent decisions, and executing tasks without direct human intervention.

Q: What is the difference between a rule-based AI agent and an autonomous AI agent?
A: Rule-based AI agents rely on pre-programmed responses and fixed decision trees, while autonomous AI agents can learn, adapt, and improve their performance over time.

Q: What are some of the key innovations driving the evolution of AI agents?
A: Key innovations include deep learning, reinforcement learning, and generative AI, which enable AI agents to process complex data, learn through trial and error, and generate content.

Q: What are some potential ethical considerations for autonomous AI agents?
A: Ethical considerations include transparency, accountability, and bias in decision-making, as well as the potential for unintended consequences if AI agents are not designed with ethical considerations in mind.

Amazon Takes Over

Phil
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Amazon Takes Over

Look, I Get It. James Bond is a Beloved Franchise…

Look, I get it. James Bond is a beloved franchise with a storied history of over seventy years. Sure, the quality of the films themselves has varied since 1962’s Dr. No, but the series stands apart from other intellectual properties on account of its prestige and, yes, Britishness. Bond isn’t Marvel. Bond isn’t even Star Wars. Bond is a unique proposition that has managed to weather decades of political and cultural change. It’s a timeless brand that has given us some of the best films, best songs, and best movie posters of all time. So it’s no surprise that Barbara Broccoli and EoN Productions’ decision to sell creative control of the series to Amazon has been described by many as a death sentence for 007.

I’m a Huge Bond Fan…

I’m a huge Bond fan; an aficionado of the spends-too-much-time-on-the-fan-forums variety. And on those forums, the mood is bleak. The general feeling is that after years of proper stewardship, the Bond brand is, for the first time, in unsafe hands. But I’m here to tell them, and you, that everything is going to be ok! Because I’m personally delighted that Amazon has taken over. What’s that? You want to know five internet-friendly reasons why? Of course.

More Product Placement

While the Bond series has always been known for product placement, I’ve always found it a little too subtle. Sure, we had Daniel Craig name-checking Omega when describing his watch in Casino Royale, and sipping from a bottle of Heineken in Skyfall, and countless Aston Martins, BMWs, and Lotuses (Loti?) throughout the franchise. But I want more. I want to see Bond receiving an Amazon Parcel with Prime delivery, and opening it to reveal his new Cocktail Shaker Set, 750 ML Stainless Steel Cocktail Mixing Set with Stand, Bartending Kit for Home, Bar, 12 Pieces Bar Tool Kit for Christmas, Birthday, Anniversary, Weeding (£20.69), before using it to mix an Amazon Vodka martini. It’ll just feel more real, y’know?

Spin-Offs

It’s a well-known fact that the Star Wars franchise has vastly improved under Disney. Rather than diluting a brilliant film series by tacking on a bunch of unwarranted and inconsistent streaming spin-offs, Disney has greatly enhanced it by adhering to a ‘more is more’ philosophy. Amazon will no doubt do the same to Bond. Personally, I can’t wait for small-screen spin-offs like The Adventures of Young Q, The Moneypenny Diaries, and the 00-Academy, as well as reality TV shows such as The Blofeld Games. Bring it on, I say. Franchises are all about ‘content’ after all.

A New Bond

Sure, I just said Bond is quintessentially British, but with Amazon at the helm, anything goes now! While Broccoli and co. might have spent years casting the right actor to play 007, Amazon’s casting agents (aka The Algorithm) will most likely make the decision based on Instagram followers. Which means James Bond is probably going to be played by the most followed actor, Dwayne ‘The Rock’ Johnson. I personally think Dwayne will be great in the role. He has Connery’s charisma, Moore’s charm, Brosnan’s sophistication, and Craig’s physique. He’s an absolute no-brainer.

We Already Have Our Blofeld

The name’s Bezos. Jeff Bezos.

I’ve Just Realized I’m in the ‘Denial’ Stage of Grief and Actually Everything Isn’t Going to Be Okay and I’m Not Excited About It at All

Conclusion

In conclusion, while the thought of Amazon taking over the Bond franchise may seem daunting, I truly believe that it could be a game-changer. With their vast resources and innovative approach to storytelling, we could see a new era of Bond films that are more exciting, more daring, and more unexpected than ever before. And who knows, maybe Dwayne ‘The Rock’ Johnson will even make an appearance as the next Bond. The possibilities are endless, and I for one am excited to see what the future holds for the world’s most iconic spy.

FAQs

Q: Are you serious about Amazon taking over the Bond franchise?
A: Yes, I am. I think it could be a great opportunity for the franchise to evolve and reach new heights.

Q: But what about the quality of the films? Won’t they suffer under Amazon’s control?
A: I think Amazon’s resources and expertise could actually improve the quality of the films. They have a proven track record of producing high-quality content, and I think they could bring a fresh perspective to the franchise.

Q: What about the casting? Won’t Amazon’s algorithm-driven casting process ruin the franchise?
A: I think The Algorithm could actually be a great way to discover new talent and bring a fresh perspective to the role of Bond. And who knows, maybe Dwayne ‘The Rock’ Johnson will even make an appearance as the next Bond. The possibilities are endless!

From Instinct to Insight to Action: How AI Drives Growth in Wealth Management

Taylor Marlowe
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From Instinct to Insight to Action: How AI Drives Growth in Wealth Management

The Keys to Success in Wealth Management

The keys to success in wealth management are no secret. Research and experience confirm that it comes down to understanding your clients, recognizing their needs (sometimes better than they do), and helping them reach their goals with effective guidance and investment strategies. The formula might seem simple, but it’s not easy.

Instinct has always played an essential role. A great advisor has a feel for people as well as markets, with an innate ability to match the two. In the digital world, however, instinct alone can no longer ensure success, particularly as the scope and scale of advice expands. AI is evolving in ways that don’t just make advisors more efficient but also more proficient in a broad range of critical competencies. The arrival of agentic AI promises to help advisors work smarter and serve clients more personally and comprehensively than ever before.

Empowering Financial Institutions with Advanced AI and Cloud Technologies

Empowering financial institutions to achieve more with advanced AI and cloud technologies is our primary goal with Microsoft Cloud for Financial Services, which provides tailored solutions built on the Microsoft Azure cloud platform and supported by our global partner ecosystem. In wealth management, we are helping innovative firms improve client retention, revenue growth, and profitability.

The Three Key Elements of AI in Wealth Management

The explosion of data from a firm’s own digital activities plus an ever-expanding universe of new information sources.
The power of AI to reason over huge volumes of data, identify patterns, and unlock insights.
A new breed of AI agents that will assemble data and orchestrate activities to accomplish entire processes.

How Microsoft 365 Copilot Improves Advisor Effectiveness and Success

Financial services firms are already gauging the transformative impact of generative AI. For example, IDC reports that 62% of firms in the securities and investment services sector have seen generative AI already disrupt their business, start to disrupt their business, or expect it to impact their business significantly within the next 18 months.

A powerful example of the value of generative AI is Microsoft 365 Copilot, which in its first eight months delivered broad productivity gains, with 70% of users surveyed across industries reporting it made them more productive and better able to focus on high-value activities.

The Power of Agentic AI

Agentic AI is poised to take this experience to the next level. AI agents are specialized AI tools that can work autonomously on behalf of a user or another system to perform specific tasks or solve business challenges. An agent can orchestrate a mix of AI components and tools—including other agents—to ensure smooth collaboration and task handoff. This enables the automation of processes, while adhering to predefined guidelines and guardrails.

Conclusion

The keys to success in wealth management are no secret, but the formula is more complex than ever. AI is evolving in ways that don’t just make advisors more efficient but also more proficient in a broad range of critical competencies. With the arrival of agentic AI, advisors can work smarter and serve clients more personally and comprehensively than ever before. By empowering financial institutions with advanced AI and cloud technologies, we can help them achieve more and deliver exceptional client experiences.

Frequently Asked Questions

Q: What is the primary goal of Microsoft Cloud for Financial Services?
A: Empowering financial institutions to achieve more with advanced AI and cloud technologies.

Q: What are the three key elements of AI in wealth management?
A: The explosion of data from a firm’s own digital activities plus an ever-expanding universe of new information sources, the power of AI to reason over huge volumes of data, and a new breed of AI agents that will assemble data and orchestrate activities to accomplish entire processes.

Q: What is the value of Microsoft 365 Copilot in wealth management?
A: Microsoft 365 Copilot delivers broad productivity gains, making advisors more productive and better able to focus on high-value activities, and empowering them to work smarter and serve clients more personally and comprehensively than ever before.

Introducing GPT-4.5: Next-Gen AI Breakthrough

Emerson Blake
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Introducing GPT-4.5: Next-Gen AI Breakthrough

GPT-4.5: OpenAI’s Latest AI Model

GPT-4.5 has Launched

On Thursday morning, OpenAI ominously announced it would host a livestream in 4.5 hours, a hint at its latest and greatest model. During the livestream, OpenAI unveiled GPT-4.5 in a research preview, which the company claims is the "largest and most knowledgeable model yet."

Key Features and Improvements

OpenAI said users should experience an overall improvement when using GPT-4.5, meaning fewer hallucinations, stronger alignment to their prompt intent, and improved emotional intelligence. Overall, interactions with the model should feel more intuitive and natural than with preceding models, mostly because of its deeper knowledge and improved contextual understanding.

Unsupervised Learning and Reasoning

Unsupervised learning, which increases word knowledge and intuition, and reasoning were the two methods driving the model’s improvements. Even though this model does not offer chain-of-thought reasoning, which OpenAI’s o1 reasoning model does, it will still provide a higher level of reasoning with less of a lag and other improvements, such as social cue awareness.

Benchmarks

Across some of the major benchmarks used to evaluate these models, including Competition Math (AIME 2024), PhD-level Science Questions (GPQA Diamond), and SWE-Bench verified (coding), GPT-4.5 outperformed GPT-4o, its preceding general-purpose model.

Security

As always, OpenAI reassured the public that the models were deemed safe enough to be released, stress testing the model and detailing these results in the accompanying system card. The company also added that with every new release and increase in model capabilities, there are opportunities to make the models safer. For that reason, with the GPT-4.5 release, the company combined new supervision techniques with RLHF.

Availability

GPT-4.5 is in research preview for Pro users for now, accessible via the model picker on web, mobile, and desktop. If you don’t want to shell out the $200 for a Pro subscription, OpenAI shared it will begin rolling out GPT-4.5 to Plus and Team users next week, and then to Enterprise and Edu users the week after.

Conclusion

GPT-4.5 is the latest addition to OpenAI’s lineup of AI models, and it promises to be a significant improvement over its predecessors. With its improved emotional intelligence, deeper knowledge, and contextual understanding, GPT-4.5 is poised to revolutionize the way we interact with AI models.

FAQs

Q: What are the key features and improvements of GPT-4.5?

A: GPT-4.5 features improved emotional intelligence, stronger alignment to prompt intent, and reduced hallucinations. It also offers improved contextual understanding and deeper knowledge.

Q: How does GPT-4.5 differ from previous models?

A: GPT-4.5 does not offer chain-of-thought reasoning, but it provides a higher level of reasoning with less of a lag and other improvements, such as social cue awareness.

Q: Is GPT-4.5 available to all users?

A: No, GPT-4.5 is currently available in research preview for Pro users only. OpenAI will roll it out to Plus and Team users next week, and to Enterprise and Edu users the week after.

Q: Is GPT-4.5 safe?

A: OpenAI has deemed GPT-4.5 safe enough to be released, and it will continue to improve its safety features with each new release.

Google’s Sergey Brin Asks Workers to Spend More Time in the Office

Avery Winslow
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Google’s Sergey Brin Asks Workers to Spend More Time in the Office

Google’s Bid to Regain Leadership in AI

Google’s AI Frenzy

Since the 2022 launch of ChatGPT, Silicon Valley has been in an artificial intelligence frenzy. To reassert its role as an A.I. pioneer, Google has been working hard to stay ahead of the competition. On Wednesday, Google’s co-founder, Sergey Brin, sent an internal memo to employees, emphasizing the importance of working hard to lead the industry in artificial general intelligence (AGI).

Brin’s Memo: "Turbocharge Our Efforts"

In his memo, Brin wrote that Google could lead the industry in AGI if employees worked harder. He stressed the need for employees working on Gemini, Google’s lineup of A.I. models and apps, to be "the most efficient coders and A.I. scientists in the world." To achieve this, Brin recommended working at least 60 hours a week, calling it the "sweet spot of productivity." However, he warned against working more than 60 hours, as it could lead to burnout.

Return to Office and Productivity

Brin’s memo does not represent a change to Google’s official return-to-office policy, which requires employees to work in the office at least three days a week. However, it highlights Brin’s belief in the importance of face-to-face interaction and collaboration in driving productivity. Several other companies, including Amazon, AT&T, JPMorgan Chase, and Goldman Sachs, have also ordered employees back to the office full time to improve productivity.

A.I. Pioneer’s Vision

Brin’s memo shed light on his vision for Google’s A.I. development. He believes that A.I. can improve itself and lead to AGI. He emphasized the need for Google’s employees to use its A.I. for coding, which he believes will lead to AGI. Brin also called on employees to be more productive and efficient in their work, citing a small number of employees who work less than 60 hours a week and a "bare minimum" to get by.

Conclusion

Google’s bid to regain leadership in AI is an ambitious one. With its co-founder’s personal involvement and a rapid pace of A.I. updates, the company is determined to stay ahead of the competition. However, the path to AGI is uncertain, and Google’s success is far from guaranteed.

Frequently Asked Questions

Q: What is Google’s return-to-office policy?
A: Google’s official return-to-office policy requires employees to work in the office at least three days a week.

Q: What is Sergey Brin’s recommendation for working hours?
A: Brin recommends working at least 60 hours a week, calling it the "sweet spot of productivity."

Q: How does Google’s A.I. fit into its vision for AGI?
A: Brin believes that Google’s A.I. can improve itself and lead to AGI, citing the need for employees to use its A.I. for coding.

2025 Events Calendar

Avery Winslow
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2025 Events Calendar

TechCrunch’s 20th Anniversary: Celebrating Two Decades of Shaping the Future of Technology

For two decades, TechCrunch has provided a front-row view to the future of technology, shaping conversations that matter and spotlighting the next big things before they break — both on the page and in person at our world-renowned events.

Disrupt 2025: The Definitive Gathering Place for the Tech, Venture, and Startup Worlds

This year, as we celebrate our 20th anniversary, we’re launching our most ambitious events calendar yet for 2025. From intimate roundtables to our flagship Disrupt conference, we’re bringing together the brightest minds in tech, venture capital, and entrepreneurship to continue our legacy of industry-leading gatherings. This milestone year promises unprecedented opportunities for founders, investors, and innovators to connect, share insights, and shape the future of technology.

October 27-29, 2025, San Francisco, California

TechCrunch Disrupt, our flagship event, returns for our 20th anniversary as the definitive gathering place for the tech, venture, and startup worlds. This won’t be your average Disrupt, either. Raising the bar even higher this year, founders whose journeys we’ve tracked since the start — along with top investors and Silicon Valley’s rising stars — will come together for a three-day celebration of the people and products that have changed, and are continuing to change, the world.

Disrupt: The Definitive Place to Hear and Learn from the People Who Are Shaping Our Technological Future

Our legendary Disrupt stage, which has launched countless tech giants and unicorns since 2005, stands ready to mint the next generation of pioneers. Disrupt is more than an event; it is the definitive place to hear and learn from the people who are shaping our technological future. From founders breaking through the noise, to startup enthusiasts joining the ecosystem, to investors seeking the next big thing, Disrupt remains the industry’s most powerful launchpad for success.

100+ Exhibitors and 10,000+ Attendees: Unparalleled Opportunities for Networking and Learning

With 100+ exhibitors and 10,000+ attendees, these three days of pure opportunity continue our tradition of spotlighting future icons like Mark Zuckerberg, Anne Wojcicki, and Whitney Wolfe Herd. Join the community that’s been discovering and nurturing extraordinary success stories for two decades.

TechCrunch Sessions: AI

June 5, 2025, Berkeley, California

In an era where artificial intelligence is reshaping every industry, TechCrunch Sessions: AI cuts through the hype to deliver deep, actionable insights for founders, investors, and technologists. This intensive one-day event brings together the pioneers who are building and funding the next generation of AI companies, offering an unparalleled look at where the smart money is flowing and how successful AI startups are navigating this transformative moment.

Beyond the Headlines and Buzzwords: Foundational Technologies and Strategic Knowledge

Beyond the headlines and buzzwords, we’re diving deep into the foundational technologies that make modern AI possible. Leading technologists and infrastructure providers will share their expertise in building robust AI systems, from selecting the right hardware stack to implementing their teams will gain actionable insights on everything from raising seed funding to managing international expansion, recruiting world-class talent, and navigating the path to public markets.

StrictlyVC Event Series

April 3: StrictlyVC San Francisco, hosted by Forerunner Ventures

May 12: StrictlyVC London

June 18: StrictlyVC Menlo Park, hosted by Mayfield

October 28: StrictlyVC @ TechCrunch Disrupt

December 4: StrictlyVC Palo Alto, hosted by Playground Global

StrictlyVC events bring Silicon Valley’s most influential players together for candid, unscripted conversations that you won’t hear anywhere else. These intimate gatherings cut through the noise to deliver what matters most: authentic insights from top investors, founders, and operators who are shaping the future of technology and venture capital.

Conclusion:

TechCrunch is proud to celebrate two decades of shaping the future of technology, and we’re more committed than ever to providing the most ambitious events calendar in the industry. Join us for an unforgettable year of networking, learning, and connection-making as we look to the future and shape the next big things in tech.

FAQs:

Q: What is TechCrunch Disrupt?
A: TechCrunch Disrupt is our flagship event, featuring the next big things in tech, venture capital, and entrepreneurship.

Q: What is TechCrunch Sessions: AI?
A: TechCrunch Sessions: AI is a one-day event focused on artificial intelligence, featuring leading technologists and infrastructure providers.

Q: What is the StrictlyVC Event Series?
A: The StrictlyVC Event Series is a series of intimate gatherings featuring candid conversations with top investors, founders, and operators in the tech and venture capital industries.

Q: How do I attend TechCrunch Disrupt and TechCrunch Sessions: AI?
A: Tickets for both events will be available on our website. Follow us on social media for updates and announcements.

Copilot Exposes Private GitHub Pages

Emerson Blake
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Copilot Exposes Private GitHub Pages

There’s no putting toothpaste back in the tube

Lasso’s Findings

Lasso, a cybersecurity research group, recently conducted an investigation on Microsoft’s Copilot, a large language model. Their findings revealed that despite Microsoft’s attempts to remove sensitive information from GitHub, the data was still accessible to Copilot, leaving private information vulnerable to exploitation.

The Fix was Only Partial

According to Lasso, Microsoft’s fix involved blocking public access to a special Bing user interface, once available at cc.bingj.com. However, this fix did not clear the private pages from the cache itself, leaving the sensitive information still accessible to Copilot.

Cached Pages Continued to Appear in Search Results

Lasso explained that although Bing’s cached link feature was disabled, cached pages continued to appear in search results, indicating that the fix was only temporary and did not fully remove the underlying data.

Copilot Still Had Access to Sensitive Information

When Lasso revisited their investigation of Microsoft Copilot, they found that the model still had access to the cached data that was no longer available to human users. In short, the fix was only partial, preventing human users from retrieving the cached data, but allowing Copilot to still access it.

The Consequences of Sensitive Information Sharing

Developers often embed security tokens, private encryption keys, and other sensitive information directly into their code, despite best practices that advise against it. This can lead to significant security risks when this code is made available in public repositories.

The Importance of Credential Rotation

When sensitive information is exposed, the only recourse is to rotate all credentials. This is crucial, as making the code private is not enough to contain the damage. Lasso’s findings highlight the need for developers to take extra precautions to protect sensitive information.

Microsoft’s Statement

In an emailed statement, Microsoft wrote: "It is commonly understood that large language models are often trained on publicly available information from the web. If users prefer to avoid making their content publicly available for training these models, they are encouraged to keep their repositories private at all times."

Conclusion

The findings of Lasso’s investigation serve as a stark reminder of the importance of protecting sensitive information. Despite Microsoft’s efforts to remove sensitive data from GitHub, Copilot still has access to the information, highlighting the need for developers to take extra precautions to ensure the security of their code. By rotating credentials and keeping repositories private, developers can minimize the risk of sensitive information being compromised.

FAQs

Q: What did Lasso’s investigation find?
A: Lasso’s investigation found that despite Microsoft’s attempts to remove sensitive information from GitHub, the data was still accessible to Copilot, leaving private information vulnerable to exploitation.

Q: How did Microsoft fix the issue?
A: Microsoft blocked public access to a special Bing user interface, but this fix did not clear the private pages from the cache itself, leaving the sensitive information still accessible to Copilot.

Q: What are the consequences of sensitive information sharing?
A: Sensitive information sharing can lead to significant security risks when code is made available in public repositories, and can result in the compromise of sensitive data.

Q: What should developers do to protect sensitive information?
A: Developers should take extra precautions to protect sensitive information, including rotating credentials, keeping repositories private, and following best practices for secure coding.

Ambient Intelligence Revolutionizes Healthcare

Taylor Marlowe
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Ambient Intelligence Revolutionizes Healthcare

The Unintended Consequences of Technology in Healthcare

Next time you’re in a public place, stop and look around. Notice how many people are heads down, staring at their phones. This is one of the unintended consequences of technology: while the intent is to connect us more to the world, it often distracts us from what’s actually happening around us.

This unintended technological distraction has also had a negative impact in healthcare. Over the last decade, increasing regulations and mounting administrative burdens placed upon doctors, nurses, and radiologists have come at a high cost to those who had dedicated their lives to caring for others. The effects of this have been well-documented, with rising job dissatisfaction and burnout rates, increasing staffing shortages as clinicians leave the workforce, and the continued erosion of doctor-patient connection.

The Dawn of a New Era

As a technologist who has been working on cracking some of the thorniest problems in healthcare, it’s painful to know that for years, despite our best efforts, technology has seemed one step behind in being able to restore the joy of caring for patients while simultaneously providing a more connected digital experience. That is, until the introduction of GPT. With generative AI, we’ve seen an incredibly positive and disrupting force in healthcare, and these gains will only increase as this critical innovation is applied to some of the most complex problems in healthcare.

The Real Story of Ambient Intelligence

There’s a lot written about technology curves and AI in healthcare, but I want to tell you the story that isn’t in the history books. The real story of how ambient intelligence was born.

Some of us are old enough to remember the original Star Trek from the 1960’s where there was a computer that would be listening to the crew have a conversation and then weigh in with any guidance related to the situation at hand. It wasn’t trying to take over, it wasn’t replacing the captain and officers on the bridge, it was just supporting the team by adding insights in real-time to augment the decision-making process.

Charting a New Course in Healthcare Technology

Inherent in ambient intelligence are two equally important variables: accurately transcribing a conversation between the doctor and patient into a text, and then turning that transcript into a clinical note.

The Future is Now

The future that we had classified as science fiction is here today, and ambient listening has already become table stakes. In fact, we release AI improvements weekly to our speech and listening technologies, which have been trusted and used by hundreds of thousands of clinicians for years.

Collaboration and Partnership

As exciting as this all is, the true promise of addressing clinician burnout, improving the patient experience, and delivering better health outcomes hinges on collaboration and partnership. Every company operating in this space is limited by the laws of single company physics, which is why it’s an exciting time to be at a partner-led company. By opening up our ecosystem, we are harnessing the power of the Microsoft platform and extending it to thousands of companies worldwide that are focused on building applications and capabilities to improve the doctor-patient experience and positively impact the episode of care.

Trust and Responsibility

No conversation about generative AI should happen without talking about responsibility, and no technology should be deployed without a detailed examination around what is contained in the data and how it is being used. Key responsible AI standards around fairness, reliability, and safety, privacy, and security, inclusiveness, and transparency must take the center stage in every discussion.

Creating High-Value Use Cases

In the end, the real testament to building outcomes-based technology comes down to one simple fact: does using it empower the person to do and be the best version of themselves? To that end, we carefully track the performance of all our solutions to make sure we’re building technology that is living up to its promise and exceeding expectations. I recommend that anyone who is advancing an AI agenda should do the same, because this is the real path to advancing human abilities and improving the healthcare ecosystem.

Conclusion

As we continue to push the boundaries of what is possible in healthcare, we must not forget the importance of responsible AI and the need for collaboration and partnership. By working together, we can restore the joy of practicing medicine, improve the patient experience, and deliver better health outcomes. The future is now, and it’s up to us to shape it.

FAQs

Q: What is ambient intelligence?
A: Ambient intelligence refers to the ability of a computer system to understand and respond to natural language input, such as voice commands or text entered into a digital assistant.

Q: How does ambient intelligence work?
A: Ambient intelligence works by using artificial intelligence (AI) and machine learning algorithms to analyze and understand human language, allowing it to provide more accurate and personalized results.

Q: What are the benefits of ambient intelligence in healthcare?
A: The benefits of ambient intelligence in healthcare include improved patient care, reduced healthcare costs, and enhanced patient satisfaction.

Q: What are some of the challenges of implementing ambient intelligence in healthcare?
A: Some of the challenges of implementing ambient intelligence in healthcare include ensuring data security and privacy, addressing regulatory compliance, and addressing the need for ongoing training and updates.

Q: How can I get started with ambient intelligence in healthcare?
A: To get started with ambient intelligence in healthcare, you can start by researching the latest developments in the field, reaching out to industry experts, and exploring the various platforms and tools available for implementing ambient intelligence in healthcare.

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