Security researchers just found a major ChatGPT security flaw

How To Gain Vital Skills In Conversational Icebreakers Via Nimble Use Of Generative AI

Nvidia has optimized its AI development toolchain for DGX and OVX platforms, much like the company optimized its CUDA software for its GPUs. ChatGPT had promoted pawns that didn’t exist, declared checkmates that weren’t real and clung to its illegality like a badge of honor. And just as the game seemed destined for a one-sided Stockfish victory, ChatGPT pulled a rabbit—or rather, a queen—out of its hat. With an audacious counterattack, it illegally awarded itself a queen and threatened Stockfish with a checkmate.

The second match of the 2025 Chatbot Chess Championship pitted two generative AIs against each other—Gemini, the Google-backed intellectual, and Grok, the more chaotic (if you can imagine) sibling in the AI chatbot family. Yes, you read that right—Snapchat AI decided its bishop had overstayed its welcome and just removed it from the board, perhaps as punishment for not protecting it. Chris Smith has been covering consumer electronics ever since the iPhone revolutionized the industry in 2007. When he’s not writing about the most recent tech news for BGR, he closely follows the events in Marvel’s Cinematic Universe and other blockbuster franchises.

It is all happening without any particular controls or stipulated regulations, see my analysis of what we need to do about this at the link here. The AI came out quickly with several useful suggestions that are all reasonable and not somehow odd or outlandish. Another aspect to note is that the AI didn’t ridicule me or otherwise play any tomfoolery about my need for assistance. Generative AI is typically shaped to be supportive rather than combative.

The AI then will act that way, and you can try to guide the AI in figuring out how to be an icebreaker. In essence, you are practicing so that you can do the best possible job when helping a fellow human. For more about how to tell generative AI to carry out a pretense, known as an AI persona, see my coverage at the link here. That said, there are a lot of real AI chess bots besides Stockfish; an actual tournament featuring the most popular ones has been around for years. In what passed for its end game, Snapchat AI devolved into a full-on tantrum, insisting on making illegal moves repeatedly. When Levy had enough of such nonsense, the bot decided it was a good idea to commit suicide and move its king so a pawn could take it.

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Speaking of online search, Claude doesn’t support that yet, while OpenAI has already deployed a ChatGPT Search model. But Amodei said that web integration is coming very soon to Claude. BGR’s audience craves our industry-leading insights on the latest in tech and entertainment, as well as our authoritative and expansive reviews. If you’ve never experienced a DDoS (Distributed Denial of Service) attack, then you’re probably not sure what to make of it. At the most basic level, these cyberattacks result from a threat actor sending an insanely large number of requests to a specific website or URL.

What is generative AI? – McKinsey

What is generative AI?.

Posted: Tue, 02 Apr 2024 07:00:00 GMT [source]

Cosmos then uses generative AI to populate Omniverse scenes, leveraging its WFMs to generate photorealistic, geospatially accurate scenarios. Cosmos then synthesizes additional scenarios to create a multiverse of training data with many combinations of diverse and unexpected situations. Omniverse simulates these scenes, capturing visual data from various points of view, which enables developers to train, validate, test and optimize the target model. Our community is about connecting people through open and thoughtful conversations. We want our readers to share their views and exchange ideas and facts in a safe space.

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For a moment, it seemed like we might witness a serious game. Gemini confidently strutted through mainline theory like a seasoned grandmaster while Grok kept up with respectable moves, setting the stage for a proper showdown. While Claude is behind ChatGPT in some features, it is ahead in other ways. Anthropic has already released an early AI agent, while OpenAI has yet to announce ChatGPT’s “Operator” agent. If you’re a fan of generative AI programs like ChatGPT, Gemini, Claude, and others, and you have half an hour to spare, you should watch The Wall Street Journal’s interview with Anthropic Chief Executive Officer Dario Amodei. It’ll give you a different perspective than what you might have heard from other players in the AI field about what’s coming soon from products like ChatGPT.

• This type of usage of generative AI and LLMs is essentially a form of therapy.
• Coffee Run, a Seattle café, increased its Instagram engagement by 23% using Jasper AI to create social posts.
• You can have Physical AI that is not beholden to either of those other two types of AI.
• The latter is less likely, as tech companies like this tend to be very open with the resolution of big issues that security researchers have pointed out.
• The CEO also noted that Anthropic is looking to secure more computing power, as demand for Claude has surged in the last few months.
• If the first last two games were marred by rule-bending and necromancy, this game—also between two generative AI tyros—devolved into even more madness when Meta introduced AI mind control to chess.

Another key facet is to deliver the icebreaker as though it is entirely off-the-cuff. Using a prepared icebreaker as though it was canned will almost be as bad as using a lousy icebreaker altogether. Seattle Ballooning solved this challenge by deploying a Voiceflow AI chatbot, dramatically increasing its conversion rates.

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Meta AI decided its bishop had outlived its usefulness and casually removed it from the board. If the first last two games were marred by rule-bending and necromancy, this game—also between two generative AI tyros—devolved into even more madness when Meta introduced AI mind control to chess. Things escalated when Grok attacked Gemini’s pieces—without taking anything. Both sides began flailing like toddlers in a food fight, with pieces left hanging, moved to illegal squares, or ignored.

But, more likely, Physical AI will be based on top of or at least in conjunction with either or both of those other two types of AI. The generative AI uses ostensibly book learning to guess what will happen when a robot is instructed by the AI to lift a chair or hold aloft a dog. Is that good enough to cope with the myriad of aspects that can go wrong? Perhaps the AI will by text-basis logic assume that if the dog is dropped, it will bounce like a rubber ball.

Machines and robots are going to be built and shipped to work side-by-side with humans. Physical AI will be the make-or-break of whether those mechanizations are compatible with humans and operate properly in the real world or instead are endangering and harmful. In preparing for meeting with people, it can be a valuable payoff to come up beforehand with some ready-made icebreakers.

For my coverage of how generative AI such as ChatGPT, Claude, Llama, Gemini, and other major AI is increasingly being connected to robotic arms and akin robotic capacities, see the link here. This type of usage of generative AI and LLMs is essentially a form of therapy. I have repeatedly cautioned that society is in a grand loosey-goosey experiment about the use of AI for mental health advisement. No one can say for sure how this is going to affect the populace on a near-term and long-term basis.

For example, you might invoke an agentic AI that would book your hotel rooms and flights for a vacation trip. I know that smarmy types will exhort that everyone knows that to be the case, but I dare suggest that it isn’t as widely understood as the cheeky cynics might declare. People are often unsure of what led to generative AI being able to respond. There is a tad bit of mystery at times and users just assume something magical is taking place. Aha, the AI is doing its calculations and responses based on data and not on any real-world first-hand experience. I’m assuming that if I asked you the same question, your answer would be about the same.

It might seem that some people are naturally able to start conversations. Turns out that generative AI can be quite helpful in getting you into an icebreaker mindset and bolster your confidence for that next moment where you need to suavely begin a conversation. Wax & Wane Candles created professional branding using Canva’s AI. The Little Market integrated free Google AI tools into its inventory system, leveling the playing field with larger competitors.

Similarly, AGX is the native, optimized robotics platform target for Nvidia’s physical AI models. However, industrial customers need the flexibility to run AI applications across diverse physical AI embodiments. Platform targets vary from microcontroller-based sensors with modest ML inference acceleration to robotics computers capable of running large generative AI models, so AGX platforms aren’t always appropriate deployment targets. To put it another way, platform choice is use-case dependent, not a product selection decision like which GPU to buy. Cosmos works with Omniverse, Nvidia’s graphics collaboration platform, to create realistic simulations for training physical AI systems. Development begins by using Omniverse to build realistic 3-D models of real-world facilities, machinery, robots and other equipment.

The somewhat new angle is that we will have generative AI working at the core of Physical AI, which then we might coin as Generative Physical AI. Reality and physical movement are like the air we breathe; it is all around us and we conventionally take it for granted. Later in life, during school and intense classes in physics and math, they will get a grand revealing of the explicitly calculated secrets underlying the physical world. Until then, it is mainly a sense of embodied presence in the real world, entailing physicality and nature’s intrinsic bodily dynamics, along with a spoonful of mindful geospatial mapping. Suppose that you have a friend or colleague who seems to be having trouble breaking the ice with other people, and you want to aid in overcoming the difficulty. You could use generative AI to gear up for providing such assistance.

In some ways, it feels safer, especially if you don’t trust OpenAI. But essentially, Anthropic is doing what every other AI company currently does. It’s racing to develop better AI and readying new features consumers will appreciate. Amid the rush to devise and field Physical AI, it is incumbent upon AI makers and AI developers to keep in mind those wise words about what can happen once AI is operating in the physical world. Hark back to my dialogue with ChatGPT about how the AI figured out that a rubber ball would drop to the ground and bounce.

Amodei also said that Claude might get a better memory so it can remember more about past conversations. The CEO also noted that Anthropic is looking to secure more computing power, as demand for Claude has surged in the last few months. Amodei said that all models do some reasoning, so the term isn’t really appropriate. Hee explained that Anthropic is developing other ways to improve Claude’s ability to reason.

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I put the word “know” in quotes to emphasize that today’s AI is not sentient and doesn’t know things in the same manner that humans do. AI is essentially software running on computer hardware and generative AI is specifically all about pattern-matching computationally on human writing such as essays, poems, stories, and the like. Maybe intellect is inextricably tied to the facets of having a body.

LLMs such as ChatGPT and Llama do not model the physical world. Developing accurate physical AI models for equipment such as robots, autonomous vehicles and industrial systems requires collecting, filtering, tagging and curating enormous amounts of real-world training data. To speed up this labor-intensive process, Nvidia has developed Cosmos, which it announced at CES 2025.

Anthropic CEO says Claude may match some of ChatGPT’s key features this year – BGR

Anthropic CEO says Claude may match some of ChatGPT’s key features this year.

Posted: Thu, 23 Jan 2025 00:24:00 GMT [source]

The primary goal of icebreakers is to establish a connection with whomever you happen to meet, spark interest, and set a comforting foundation for engaging in a dialogue. Appearing at ease when employing an icebreaker is paramount to the process. Ideally, you might want to bounce off a friend or confidant the icebreakers that you intend to use. This person or advisor could help in refining the icebreakers. They would also serve to reject ones that might seem wonderful to you but are going to be disastrous if used in actual practice. There is little doubt that there are good icebreakers and the otherwise to-be-avoided disagreeable icebreakers.

Adding OT data brings these models to life, accurately simulating complex scenarios in near real time. These use cases deliver impressive ROI — at least on paper and in the lab. However, physical AI technology the likes of Nvidia Cosmos is new, and interfacing with OT equipment is often problematic for all the reasons touched on above, so the timeline is still uncertain. Nvidia’s “right around the corner” time estimate for physical AI is vague because two technical barriers prevent Huang (and me) from providing a specific timetable. First, physical AI requires new, real-world, physics-aware models and unique development platforms. Second, despite compelling business cases and a decade of IoT development, most data produced by OT is still inaccessible to IT systems and AI-powered business applications.

Although AI creates extremely compelling integration business cases, most operational data remains isolated from large-scale AI because of the complexity, cost, and security risks of connecting OT systems with mainstream IT. This is the OT-IT gap — the chasm between the heterogeneous, chaotic world of industrial IoT and the uniform, managed world of IT. The game started innocently enough, with both bots making standard moves. Stockfish, ever the perfectionist, methodically built its position, while Snapchat AI seemed to have a decent grasp of opening chess fundamentals—until it didn’t. The match was most interesting for the light it shed on pure AI—that is, models trained at specific tasks based on predefined rules—versus generative AI, or models trained to generate new content based on previous information. We guide our loyal readers to some of the best products, latest trends, and most engaging stories with non-stop coverage, available across all major news platforms.