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Massive Botnet Delivers Record-Size DDoSes

A New Kind of Botnet: Eleven11bot

A Threat of Unprecedented Proportions

A newly discovered network botnet comprising an estimated 30,000 webcams and video recorders—with the largest concentration in the US—has been delivering what is likely to be the biggest denial-of-service attack ever seen, a security researcher inside Nokia said.

The Botnet’s Rise to Notoriety

The botnet, tracked under the name Eleven11bot, first came to light in late February when researchers inside Nokia’s Deepfield Emergency Response Team observed large numbers of geographically dispersed IP addresses delivering "hyper-volumetric attacks." Eleven11bot has been delivering large-scale attacks ever since.

A New Kind of DDoS Attack

Volumetric DDoSes shut down services by consuming all available bandwidth either inside the targeted network or its connection to the Internet. This approach works differently than exhaustion DDoSes, which over-exert the computing resources of a server. Hypervolumetric attacks are volumetric DDoSes that deliver staggering amounts of data, typically measured in the terabits per second.

A Record-Breaking Botnet

At 30,000 devices, the Eleven11bot was already exceptionally large. Most of the IP addresses participating, Nokia researcher Jérôme Meyer told me, had never been seen engaging in DDoS attacks. Besides a 30,000-node botnet seeming to appear overnight, another salient feature of Eleven11bot is the record-size volume of data it sends its targets.

The Attack’s Impact

The largest one Nokia has seen from Eleven11bot so far occurred on February 27 and peaked at about 6.5 terabits per second. The previous record for a volumetric attack was reported in January at 5.6 Tbps. Eleven11bot has targeted diverse sectors, including communications service providers and gaming hosting infrastructure, leveraging a variety of attack vectors. While in some cases the attacks are based on the volume of data, others focus on flooding a connection with more data packets than a connection can handle, with numbers ranging from a "few hundred thousand to several hundred million packets per second." Service degradation caused in some attacks has lasted multiple days, with some remaining ongoing as of the time this post went live.

Conclusion

The rise of Eleven11bot is a significant concern for the security community, as it has the potential to cause unprecedented damage to online services and infrastructure. It is crucial for organizations to take measures to protect themselves against these types of attacks and for researchers to continue monitoring the situation to ensure the best possible response.

FAQs

Q: What is the size of the Eleven11bot botnet?
A: The botnet is estimated to comprise around 30,000 webcams and video recorders.

Q: What is the impact of the attacks launched by Eleven11bot?
A: The attacks can cause service degradation and shutdown, lasting from a few days to ongoing.

Q: What sectors have been targeted by Eleven11bot?
A: The botnet has targeted communications service providers and gaming hosting infrastructure.

Q: What is the record-breaking volume of data sent by Eleven11bot?
A: The record-breaking volume of data sent by Eleven11bot is around 6.5 terabits per second.

OpenAI’s ex-policy lead criticizes the company for ‘rewriting’ its AI safety history

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OpenAI’s Approach to AI Safety Criticized by Former Policy Researcher

A Disagreement on the Road to AGI

A high-profile ex-OpenAI policy researcher, Miles Brundage, has taken to social media to criticize OpenAI for "rewriting the history" of its deployment approach to potentially risky AI systems. Brundage’s concerns center around OpenAI’s recent document outlining its philosophy on AI safety and alignment, specifically its view on the development of AGI (Artificial General Intelligence).

OpenAI’s Philosophy on AGI

According to OpenAI, the development of AGI is a "continuous path" that requires "iteratively deploying and learning" from AI technologies. The company believes that safety lessons can be learned from the deployment of current AI systems, with the goal of making the next system safer and more beneficial.

GPT-2 and the Issue of Safety

Brundage, who was previously the head of policy research at OpenAI, disagrees with the company’s stance. He claims that OpenAI’s release of GPT-2, a language model that can answer questions and generate text, was not as cautious as it could have been, given the potential risks involved. GPT-2 was initially released with limited access to a demo, citing the risk of malicious use. However, the decision was met with criticism from some in the AI industry, who argued that the threat posed by GPT-2 had been exaggerated.

A Call for Caution

Brundage believes that OpenAI’s approach to AI safety is flawed, arguing that the company is trying to set up a burden of proof where concerns are dismissed as "alarmist" unless overwhelming evidence of imminent dangers is presented. He fears that this mentality is "very dangerous" for advanced AI systems.

A History of Criticism

OpenAI has faced criticism in the past for prioritizing "shiny products" over safety and rushing product releases to beat rival companies to market. The company has also faced criticism for its handling of AI safety and policy, with some researchers departing the company for rivals.

Conclusion

The debate over AI safety and alignment is a critical one, with far-reaching implications for the development of AGI. As the technology continues to evolve, it is essential that companies like OpenAI prioritize caution and transparency in their approach to AI deployment. The concerns raised by Brundage and others should not be taken lightly, and OpenAI would do well to reconsider its approach to AI safety and alignment.

FAQs

Q: What is AGI?
A: AGI refers to AI systems that can perform any intellectual task that a human can.

Q: What is OpenAI’s approach to AI safety and alignment?
A: OpenAI believes that the development of AGI is a continuous path that requires iteratively deploying and learning from AI technologies.

Q: What is the issue with OpenAI’s approach to AI safety?
A: Critics argue that OpenAI is prioritizing product releases over safety, and that its approach to AI safety is flawed.

Q: Who is Miles Brundage?
A: Miles Brundage is a former OpenAI policy researcher and head of policy research. He has spoken out against OpenAI’s approach to AI safety and alignment.

Sorry We’re Closed: A Bewitching, Bizarre and Often Frustrating Horror Cocktail

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Style and Substance

Sorry We’re Closed is a game that lures you in with a neon-soaked, retro-horror visual design and beautifully illustrated character art, then traps you in an existential nightmare. The game lays traps, sucks you in, and before you know it, you’re not quite sure what you’re playing but you keep going further regardless.

Persona Horror

The game’s loop is very Persona-like in approach, as each night Michelle ventures out to explore her street, meet the game’s cast – dependable Robyn, party-bro Darrel, dancer Clarissa and Lucy, who has her own eerie secret – before venturing into the game’s demonic dungeons that exist behind Michelle’s reality. These dungeons neatly mix classic Resident Evil key-and-lock puzzles and item management with a Silent Hill-like reality shift feature – Michelle can move in and out of her demonic realm using her ‘Third Eye’ to get past obstacles, see hidden routes and view creatures’ weak spots.

Ah yes, the Combat

The combat works but there is an issue with swapping from third-to-first-person cameras and back, over time it becomes a grind that pulls you from the game’s nicely crafted atmosphere. When multiple enemies appear it can become a bit of a mess to try and keep track of everything, as the camera pings in and out chaotically.

Verdict

Every time I feel frustrated by the combat, Sorry We’re Closed will pop up with a beautiful character design, drop a great puzzle, squeeze out some catchy, snarky dialogue and then push me into a dungeon that recalls the heyday of survival horror. So, can I overlook its one misstep, of course I can – particularly as this console release has made moves to smooth out this issue. Sorry We’re Closed is an adventure worth opening.

Frequently Asked Questions

Q: Is Sorry We’re Closed a game for me?
A: If you’re a fan of survival horror and retro design, then yes, this game is for you.

Q: Is the combat in the game any good?
A: The combat can be a bit clunky at times, but it’s still an enjoyable part of the game.

Q: Is the game worth playing?
A: Yes, despite its flaws, Sorry We’re Closed is an adventure worth playing.

Turns out Oreo’s had 12 logos since 1912

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Happy Oreo Day!

  1. 1912-1923

(Image credit: Logopedia/Oreo)

02. 1923-1931

Oreo logos

(Image credit: Logopedia/Oreo)

03. 1931-1936

Oreo logos

(Image credit: Logopedia/Oreo)

04. 1936-1940

Oreo logo

(Image credit: Logopedia/Oreo)

05. 1940-1949

Oreo logos

(Image credit: Logopedia/Oreo)

06. 1952-1960

Oreo logos

Accelerating the Future of Robotics with AI

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Advancements in Physical and Embodied AI: Top Sessions to Attend

Accelerated Computing: Unlocking New Possibilities for Physical AI

The field of artificial intelligence has made tremendous progress in recent years, but the development of physical and embodied AI is an exciting and rapidly evolving area. To stay ahead of the curve, it’s essential to stay informed about the latest advancements and breakthroughs. In this section, we’ll be exploring the top sessions to attend to learn about the role of accelerated computing, generative AI, and physics-based world simulation in advancing physical and embodied AI.

Generative AI: Creating Realistic and Interactive Environments

Generative AI is a type of AI that can generate new and original content, such as images, music, and even entire worlds. In the context of physical and embodied AI, generative AI can be used to create realistic and interactive environments that can simulate real-world scenarios, allowing robots and other AI systems to learn and adapt in a more effective way.

Physics-Based World Simulation: Bringing Realism to AI

Physics-based world simulation is a key component of generative AI, as it allows AI systems to simulate real-world physics and create more realistic environments. This can include simulating the behavior of objects, the effects of gravity, and the movement of fluids. By using physics-based world simulation, AI systems can learn and adapt more effectively, and make more accurate predictions about the world around them.

Conclusion

In conclusion, the sessions on accelerated computing, generative AI, and physics-based world simulation are must-attend events for anyone interested in the development of physical and embodied AI. By exploring these topics, attendees can gain a deeper understanding of the latest advancements in the field and how they can be applied to real-world problems. Don’t miss out on this opportunity to stay ahead of the curve and shape the future of AI.

FAQs

Q: What is the role of accelerated computing in physical AI?

A: Accelerated computing is a type of computing that can process vast amounts of data quickly and efficiently, making it an essential component of physical AI.

Q: How does generative AI differ from traditional AI?

A: Generative AI is capable of generating original content, whereas traditional AI is limited to processing and analyzing existing data.

Q: What is the purpose of physics-based world simulation in physical AI?

A: Physics-based world simulation allows AI systems to simulate real-world physics and create more realistic environments, enabling them to learn and adapt more effectively.

Q: How can I stay up-to-date with the latest advancements in physical and embodied AI?

A: Attend top sessions on accelerated computing, generative AI, and physics-based world simulation to stay ahead of the curve and shape the future of AI.

Flying is still safe — but the FAA isn’t

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The Unsettling New Reality of Flying

I was on a flight back to New York recently and something unusual happened when we landed: the passengers burst into applause. This was not a typical reaction, as flights usually only receive applause after experiencing bad turbulence or significant delays. However, this flight was uneventful, taking off and landing on schedule with no drama whatsoever. So, why the clapping?

The Concerns Behind the Applause

Well, it’s no secret that there have been a lot of plane crashes or near-crashes lately, and this is happening against the backdrop of the Trump administration and Elon Musk’s efforts to revamp the Federal Aviation Administration (FAA). The recent news has detailed how Musk is trying to force his way into the agency, including taking over an existing Verizon contract and threatening FAA employees with termination if they don’t comply.

The System is Being Undermined

The reason it feels less safe to fly is not just the tragic accidents. The system we took for granted to keep us safe and solve problems when they occur is being destabilized right in front of our eyes. It’s a complex issue, requiring a delicate dance of people, technology, and policy.

The Verge’s Andy Hawkins Weighs In

To better understand what’s happening in the skies, I spoke with Andy Hawkins, The Verge’s transportation editor. He recently edited a piece by writer Darryl Campbell that sheds light on the current state of air travel. While there are reassuring statistics about the safety of flying, there are also significant questions about what needs to be done to regain our confidence in air travel.

The Conversation

In our conversation, Andy and I discussed the safety of flying, the potential changes to air traffic systems, and the impact of Musk’s involvement. Here are some key points from our conversation:

  • The safety of flying: extremely safe, with a very low probability of accidents.
  • The current air traffic systems: while they may change for the better, there’s a risk of unintended consequences if not properly managed.
  • Musk’s involvement: his actions could have far-reaching implications, and it’s essential to consider the potential consequences.

Conclusion

The recent applause on my flight was a testament to the growing unease surrounding air travel. While it’s true that flying is still incredibly safe, the concerns about the system’s stability and the impact of external factors cannot be ignored. It’s crucial to address these issues and work towards a safer and more efficient air travel experience.

FAQs

Q: Is flying still safe?
A: Yes, flying is extremely safe with a very low probability of accidents.

Q: What’s behind the recent applause on flights?
A: The applause is a reaction to the growing unease surrounding air travel, fueled by recent plane crashes and the perceived instability of the system.

Q: What’s Elon Musk’s role in all of this?
A: Musk is trying to force his way into the FAA, which could have far-reaching implications and raise concerns about conflicts of interest.

Mastering KeyShot and Photoshop for Flawless Renders

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KeyShot Rendering Tutorial: Compositing and Blending Render Passes in Photoshop

01. Render to PSD

Open the Render dialog box by clicking Render from the tab of buttons at the bottom of KeyShot. Choose PSD 32-bit as the format, as this will maximize the data available in post-production.

02. Choose render passes

In the Render dialog box, scroll down to ‘Layers and Passes’. Tick the specific passes that you want to export, or choose to render all options. Most of the time, select all the passes to have maximum flexibility in Photoshop.

03. Blend the layers

Open your rendered Photoshop file and set the Image>Mode option to 32-bit. Deselect all layers except Lighting, Global Illumination, Reflection, and Refraction. Multi-select the Global Illumination, Reflection, and Refraction layers, and set their blending mode to ‘Linear Dodge (Add)’. You should now start to see your image come back to life.

04. Get creative

Now you have your stack of render passes correctly blended with one another, it’s time to start having some fun! Adjust the opacity of some of your layers. For example, if you feel your reflections are just too strong, try dropping the Opacity for that layer to 80% or lower. If you’ve rendered a ZDepth render pass, you can use that to introduce depth of field with a blur effect.

Conclusion

In this tutorial, we have demonstrated how to export render passes from KeyShot and blend them together in Photoshop using the correct blending modes. This allows for a full range of creative possibilities, from subtle adjustments to dramatic changes. By following these steps, you can unlock the full potential of KeyShot and take your 3D rendering to the next level.

FAQs

Q: What is compositing?
A: Compositing is the process of combining a collection of render passes or elements into one final image.

Q: What are the main types of render passes?
A: The main types of render passes are Diffuse, Lighting, Global Illumination, Reflection, and Refraction.

Q: Why is 32-bit PSD the best format for KeyShot rendering?
A: 32-bit PSD allows for maximum data available in post-production, giving you more flexibility and control over your rendered images.

Monster Hunter: Wilds

The Hunt Begins

Forget Bigfoot — hunt 40-foot monsters in the cloud instead.

Happy hunting in the cloud. The unbridled force of nature runs wild and relentless in Monster Hunter Wilds, with environments transforming drastically from one moment to the next. This is a story of monsters and humans and their struggles to live in harmony in a world of duality. Members can fulfill their duties as a Hunter by tracking and defeating powerful monsters and forging strong, new weapons and armor from materials harvested from the hunt, all while uncovering the connection between the people of the Forbidden Lands and the locales they inhabit.

GeForce NOW members can join the ultimate hunting experience without waiting for game downloads or worrying about hardware space. Stream the title across devices, from underpowered PCs and Macs to the Steam Deck and virtual-reality devices. Performance members get six-hour gaming sessions, and Ultimate members get eight-hour sessions. Performance and Ultimate members can also stream with NVIDIA DLSS and ray-tracing technologies for the highest frame rates. This game has system requirements that require a GeForce NOW Performance or Ultimate membership — free members can upgrade today to join in on the action.

Join the Writer’s Block Party

Ctrl+Alt+Adventure

Split Fiction from Hazelight Studios, creators of the award-winning It Takes Two, is now available to stream in the cloud. Split Fiction is a cooperative adventure where science fiction and fantasy authors Mio and Zoe are trapped in a simulation that’s stealing their stories.

Players must work together using unique abilities in ever-changing worlds, ranging from cyberpunk cities to enchanted forests, to overcome diverse challenges like taming dragons, mastering laser swords, and solving gravity puzzles. The game also features innovative split-screen mechanics and a Friend’s Pass feature that enables one player to host the full game while their partner joins for free.

Split Fiction emphasizes teamwork and communication for a genre-bending, chaotic, and imaginative co-op experience. Stream in the cloud today across devices with a GeForce NOW membership.

Hit the Gas on New Games

Aloha, adrenaline.

Members can now stream the newest season of The Crew Motorfest. Season six brings significant updates, including a full series of challenges, activities, and surprises. Discover a new playground, striking new vehicles, world improvements, and two new Playlists including “Red Bull Speed Clash” at the game’s launch. The enhanced player vs. player experience offers weekly themed Grand Races, vehicle handling improvements, and new features like Photo Quest fast travel. Enjoy an even more immersive and enjoyable open-world driving experience across the Hawaiian islands of O’ahu and Maui with the wings of Red Bull, streaming on GeForce NOW.

Games Available to Stream in the Cloud This Week

• Monster Hunter Wilds
• Split Fiction
• The Crew Motorfest S6

What to Play This Weekend?

What are you planning to play this weekend? Let us know on X or in the comments below.

Conclusion

GeForce NOW members can dive into a world of adventure, action, and excitement with the latest additions to the service. Whether you’re a fan of open-world exploration, cooperative gameplay, or high-speed racing, there’s something for everyone. So, what are you waiting for? Join the fun and start playing today!

FAQs

Q: What is GeForce NOW?
A: GeForce NOW is a cloud gaming service that allows users to stream their favorite games across various devices.

Q: What games are available on GeForce NOW?
A: A variety of games are available on GeForce NOW, including exclusive titles, indie games, and popular PC and console games.

Q: What is the difference between Performance and Ultimate memberships?
A: Performance members get six-hour gaming sessions, while Ultimate members get eight-hour sessions. Performance and Ultimate members can also stream with NVIDIA DLSS and ray-tracing technologies for the highest frame rates.

Q: Can I play games on GeForce NOW without a powerful computer or console?
A: Yes, GeForce NOW allows users to play games across devices, including underpowered PCs and Macs, the Steam Deck, and virtual-reality devices.

Apple’s new MacBook Air colours mark the end of an era

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Apple Unveils New MacBook Air with M4 Chip and Sky Blue Color Option

A New Era for the MacBook Air

Apple has unveiled a new MacBook Air, featuring the M4 chip, bringing it up to speed with the MacBook Pro and iPad Pro. The new laptop is not only more powerful but also more affordable, with a starting price of $999, a $100 decrease from the M3 model.

Goodbye Space Grey, Hello Sky Blue

The new MacBook Air comes in four colors: Sky Blue, Silver, Starlight, and Midnight. However, Apple has discontinued the popular Space Grey option, leaving fans of the color without a suitable alternative. The only color that comes close to black is Midnight, which is actually a dark navy blue.

The Controversy

The decision to discontinue Space Grey has sparked controversy among fans, with many expressing disappointment and even outrage. One Redditor commented, "Well now I’m getting the Space Grey M3. Why the hell did they have to remove it. Man," while another added, "I was waiting for the m4 and hoped to buy space gray. I’m furious rn."

Theories Behind the Discontinuation

Some users have theories as to why Apple might have discontinued Space Grey. Over the years, there have been complaints of discolouration over time, particularly where the palms rest beside the trackpad. This might explain why Apple introduced Space Black for the MacBook Pro, but it’s still surprising to see it omitted entirely.

Conclusion

The new MacBook Air is an exciting development in the world of laptops, offering improved performance and a more affordable price point. However, the discontinuation of Space Grey has left fans of the color feeling disappointed and frustrated. We’ll have to wait and see how the new laptop performs in our full review, but for now, it’s clear that Apple’s focus is on the future.

Frequently Asked Questions

Q: Why did Apple discontinue Space Grey?
A: Apple has not officially stated the reason for discontinuing Space Grey, but some users believe it may be due to discolouration issues over time.

Q: What are the new color options for the MacBook Air?
A: The new MacBook Air is available in Sky Blue, Silver, Starlight, and Midnight.

Q: Is the new MacBook Air more powerful than the M3 model?
A: Yes, the new MacBook Air features the M4 chip, making it more powerful than the M3 model.

Q: How much does the new MacBook Air cost?
A: The new MacBook Air starts at $999, a $100 decrease from the M3 model.

Turing Award Goes to A.I. Pioneers Andrew Barto and Richard Sutton

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The Pioneers of Reinforcement Learning: Dr. Andrew Barto and Dr. Richard Sutton

The Birth of Reinforcement Learning

In 1977, Andrew Barto, a researcher at the University of Massachusetts, Amherst, began exploring a new theory that neurons behaved like hedonists. The basic idea was that the human brain was driven by billions of nerve cells that were each trying to maximize pleasure and minimize pain. A year later, he was joined by another young researcher, Richard Sutton, and together they worked to explain human intelligence using this simple concept and applied it to artificial intelligence.

The Result: Reinforcement Learning

The result was "reinforcement learning," a way for A.I. systems to learn from the digital equivalent of pleasure and pain. This concept has played a vital role in the rise of artificial intelligence, including breakthrough technologies such as Google’s AlphaGo and OpenAI’s ChatGPT.

The Turing Award

On Wednesday, the Association for Computing Machinery, the world’s largest society of computing professionals, announced that Dr. Barto and Dr. Sutton had won this year’s Turing Award for their work on reinforcement learning. The Turing Award, which was introduced in 1966, is often called the Nobel Prize of computing. The two scientists will share the $1 million prize that comes with the award.

The Potential of Reinforcement Learning

Reinforcement learning has many applications, from games to online chatbots. It has also been used in online chatbots, where users provide feedback to train the system. Researchers call this "reinforcement learning from human feedback," or R.L.H.F. This is one of the key reasons that today’s chatbots respond in surprisingly lifelike ways.

The Future of Reinforcement Learning

Dr. Barto and Dr. Sutton believe that this technology has the potential to revolutionize the way machines learn. They envision a future where robots imbued with A.I. will learn from trial and error in the real world, as humans and animals do. "Learning to control a body through reinforcement learning — that is a very natural thing," Dr. Barto said.

FAQs

Q: What is reinforcement learning?
A: Reinforcement learning is a way for A.I. systems to learn from the digital equivalent of pleasure and pain.

Q: Who are the pioneers of reinforcement learning?
A: Dr. Andrew Barto and Dr. Richard Sutton are the pioneers of reinforcement learning.

Q: What is the Turing Award?
A: The Turing Award is the highest honor in the field of computer science, often referred to as the "Nobel Prize of computing."

Q: What are some examples of reinforcement learning in action?
A: Examples include AlphaGo, ChatGPT, and online chatbots that learn from human feedback.