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Pittsburgh Steelers Head Coach Mike Tomlin takes a lot of criticism for many of his in-game coaching decisions. The top complaints are generally about his usage of timeouts and decisions surrounding throwing the challenge flag. In the recent Week 12 loss to the Cleveland Browns, the complaints included a decision to go for it on fourth down, using Justin Fields instead of Russell Wilson on a critical third down pass, and some unusual use of various personnel. In his most recent Tuesday press conference , Tomlin was asked about many of those decisions, and he blamed the short-yardage struggles on himself and his coaching staff. The Steelers' inability to move the ball in short-yardage situations and the red zone has been among their biggest struggles this season. Pittsburgh is currently 8-3 and sits atop the AFC North, but their games are getting increasingly more challenging as the season progresses, making this shortcoming even more problematic. They failed to convert on two of the short-yardage fourth downs they attempted in the snowy loss in Week 12. Tomlin said that the staff has been slow adjusting to replay assist. They make quick decisions and spot of the ball would change and they haven't adjusted. Those failures contributed to the Steelers' loss against the Browns. It was especially frustrating considering the Steelers had mounted a comeback but lost the lead late in the fourth quarter. Since they played the Browns on Thursday Night Football , the Steelers have a mini-bye week currently because they do not play the Cincinnati Bengals until Sunday. Tomlin was asked during his press conference what lessons he learned during that mini-bye about their short-yardage struggles. "We need to get better is a component of it," acknowledged Tomlin. "But there was some game circumstances. We, as a coaching staff, need to adapt and adjust to replay assist. Sometimes, we make decisions at speed, and a spot of the ball might be different, or a circumstance might be different based on replay assist, and I think that's happened two or three times in the last two or three weeks. That's been a component of performance for us. Some of the things got nothing to do specifically with the schematics that we call or the utilization of people, it's just those moments and administratively and logistically how things go. We looked at all components of it, but obviously, we need to be better than we've been partially of late." Tomlin said the coaches do not know how much time they will get during replay assist; it varies depending on how long the officials take to make decisions. Tomlin feels that the coaching staff is working on learning to make better decisions and adjustments on the fly. The Steelers did convert their third fourth-down attempt near the middle of the second half. Perhaps they were able to get a better look at the replay assist, thus making a better decision about what to call. It is easy to Monday morning quarterback play calls, but the game moves fast, and often, the coaches are left with only a short amount of time to make a decision. Steelers' Arthur Smith Also Took Some Heat Many factors likely went into the Steelers' loss in Cleveland: the weather, the short week, and being physically exhausted from beating the Baltimore Ravens. There was no reason they should have lost. While much blame is being put on Tomlin, Arthur Smith also gets his fair share, and rightfully so. Smith was responsible for calling plays in those third—and fourth-down situations, and some of the choices were confusing at best. There are reports that some people within the organization are not too happy about the plays. During that game, the Steelers only converted seven of 16 third-down attempts and were one of three on fourth down. This article first appeared on SteelerNation.com and was syndicated with permission.Supercom Ltd. (NASDAQ: SPCB) Offers Important Boost To Expanding Industry With Superior EM Tracking Technologym jilislot 。

Mohammed A. Alqarni Every so often, news emerges of an advanced AI model outperforming its predecessor, restarting debates about the trajectory of AI. These incremental improvements, while impressive, also reignite discussions about the prospect of artificial general intelligence or AGI — a hypothetical AI that could match or exceed human cognitive abilities across the board. This potential technological leap brings to mind another transformative innovation of the 20th century: nuclear power. Both promise unprecedented capabilities but carry risks that could reshape or even end human civilization as we know it. The development of AI, like nuclear technology, offers remarkable opportunities and grave dangers. It could solve humanity’s most significant challenges or become our ultimate undoing. The nuclear arms race taught us the perils of unchecked technological advancement. Are we heeding those lessons in the AI era? The creation of nuclear weapons introduced the concept of mutually assured destruction. With AGI, we face not only existential risks of extinction but also the prospect of extreme suffering and a world where human life loses meaning. Imagine a future where superintelligent systems surpass human creativity, taking over all jobs. The very fabric of human purpose could unravel. Should it be developed, controlling AGI would be akin to maintaining perfect safety in a nuclear reactor — theoretically possible but practically fraught with challenges. While we have managed nuclear technology for decades, AGI presents unique difficulties. Unlike static nuclear weapons, AGI could learn, self-modify, and interact unpredictably. A nuclear incident, however catastrophic, allows for recovery. An AGI breakout might offer no such luxury. The timeline for AGI remains uncertain and hotly debated. While some “optimistic” predictions suggest it could arrive within years, many experts believe it is still decades away, if achievable at all. Regardless, the stakes are too high to be complacent. Do we have the equivalent of International Atomic Energy Agency safeguards for AI development? Our current methods for assessing AI capabilities seem woefully inadequate for truly understanding the potential risks and impacts of more advanced systems. The open nature of scientific research accelerated both nuclear and AI development. But while open-source software has proven its value, transitioning from tools to autonomous agents introduces unprecedented dangers. Releasing powerful AI systems into the wild could have unforeseen consequences. The Cuban Missile Crisis brought the world to the brink but also ushered in an era of arms control treaties. We need similar global cooperation on AI safety — and fast. We must prioritize robust international frameworks for AI development and deployment, increased funding for AI safety research, public education on the potential impacts of AGI, and ethical guidelines that all AI researchers and companies must adhere to. It is a tough ask. However, as we consider these weighty issues, it is crucial to recognize the current limitations of AI technology. The large language models that have captured the public imagination, while impressive, are fundamentally pattern recognition and prediction systems. They lack true understanding, reasoning capabilities, or the ability to learn and adapt in the way human intelligence does. While these systems show remarkable capabilities, there’s an ongoing debate in the AI community about whether they represent a path toward AGI or if fundamentally different approaches will be needed. In fact, many experts believe that achieving AGI may require additional scientific breakthroughs that are not currently available. We may need new insights into the nature of consciousness, cognition, and intelligence — breakthroughs potentially as profound as those that ushered in the nuclear age. This perspective offers both reassurance and a call to action. Reassurance comes from understanding that AGI is not an inevitability based on our current trajectory. We have time to carefully consider the ethical implications, develop robust safety measures, and create international frameworks for responsible AI development. However, the call to action is to use this time wisely, investing in foundational research not just in AI but also in cognitive science, neuroscience, and philosophy of mind. As we navigate the future of AI, let us approach it with a balance of excitement and caution. We should harness the immense potential of current AI technologies to solve pressing global challenges while simultaneously preparing for a future that may include more advanced forms of AI. By fostering global cooperation, ethical guidelines, and a commitment to human-centric AI development, we can work towards a future where AI enhances rather than endangers human flourishing. The parallels with nuclear technology remind us of the power of human ingenuity and the importance of responsible innovation. Just as we have learned to harness nuclear power for beneficial purposes while avoiding global catastrophe so far, we have an opportunity to shape the future of AI in a way that amplifies human potential rather than diminishing it. The path forward requires vigilance, collaboration, and an unwavering commitment to the betterment of humanity. In this endeavor, our human wisdom and values are the most critical components of all.

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December 12, 2024. OpenAI has every reason to fake an outage. This would demonstrate they are ... [+] becoming a utility, like electricity or water. (Photo by Jason Redmond / AFP) (Photo by JASON REDMOND/AFP via Getty Images) Open AI Went Down Yesterday. It was highly inconvenient. ChatGPT has snuggled right into my workflow and now I’m dependent on the little bugger. The moment reminded me of AOL’s outage in 1996. The service was down for 24 hours and sent shockwaves throughout the world, demonstrating the Internet was a utility, like electricity and water. This sent AOL’s valuation on a rocket ride. The stock split over and over again for the next three years. TikTok is a precarious situation. Unless a court rules, they must shut down in the US next week. ... [+] (Photo by American Stock Archive/Archive Photos/Getty Images) The clock ticks for Tik Tok . ByteDance and its subsidiary TikTok have filed an emergency motion with the U.S. Court of Appeals for the District of Columbia, seeking to temporarily halt a law mandating ByteDance to divest TikTok by January 19, 2025, or face a U.S. ban. The companies argue that without this injunction, TikTok's 170 million American users will lose access to the platform. They also note that President-elect Donald Trump has expressed opposition to the ban, suggesting a delay would allow the incoming administration to reassess the situation. The Justice Department opposes the request, citing national security concerns over Chinese control of the app. AI speaks letters, text-to-speech or TTS, text-to-voice, speech synthesis applications, generative ... [+] Artificial Intelligence, futuristic technology in language and communication. Waveform Raises $40M for voices that have emotional intelligence. Founded by former OpenAI researcher Alexis Conneau, WaveForms AI is developing AI voice models with enhanced emotional intelligence, enabling more empathetic and realistic interactions. Conneau previously contributed to OpenAI's GPT-4o voice mode, noted for its real-time responsiveness and ability to handle interruptions. Funding came from mega VC Andreessen Horowitz. Microsoft Warns 400 Million Windows Users—Do Not Update Your PC iOS 18.2—Update Now Warning Issued To All iPhone Users What We Know About Luigi Mangione: Police Have ‘No Indication’ Suspected Shooter Of UnitedHealthcare CEO Was A Client Vapi founders Jordan Dearsley and Nikhil Gupta Vapi Raises $20M to Bring Voice AI Agents to Enterprise. Voice AI platform Vapi has raised $20 million in a Series A funding round to expand its engineering team, scale real-time infrastructure, and support enterprise customers. Since launching in 2023, Vapi has scaled to millions in revenue, providing customizable AI voice agents for industries like healthcare, finance, and customer service. Bessemer Venture Partners led the round, with participation from Y Combinator, Abstract Ventures, and others. It's been all week and I still can't get in. OpenAI Releases Sora, Outages Ensue Amid Surging Demand. OpenAI has officially launched Sora, its long-awaited text-to-video AI model, as part of its "12 Days of OpenAI" event. Billed as a breakthrough in AI-generated media, Sora allows users to create high-quality video content from simple text prompts. However, the release was met with overwhelming demand, causing widespread outages and access issues. Users reported slow response times and platform crashes, underscoring the intense interest in Sora's capabilities. Despite the hiccups, OpenAI's strategic rollout aims to solidify its lead in generative AI. As access stabilizes, Sora is expected to compete with models from Google and Runway. Personally, Sora still won’t let me in. Samsung 's Project Moohan blends design elements from Meta’s Quest and Apple’s Vision Pro. Road to VR’s Ben Lang Got Hands On With Samsung’s Project Moohan XR Headset. Samsung has revealed Project Moohan, its new mixed-reality (XR) headset powered by Android XR, blending design elements from Meta’s Quest and Apple’s Vision Pro. Slated for a 2025 release, the device features a Snapdragon XR2+ Gen 2 chip and supports hand, eye, and controller-based input. INDIA - 2024/12/12: In this photo illustration, the Gemini logo is seen displayed on a mobile phone ... [+] screen with google logo in the background. (Photo Illustration by Idrees/SOPA Images/LightRocket via Getty Images) Google's New Gemini 2.0 Can Open the Browser to Check Information Independently. Unveiled this week, Gemini 2.0 introduces autonomous AI capabilities that set it apart from its predecessors. The model’s most notable advancement is its ability to independently open a browser to verify information in real-time — a defining feature of Google's so-called "Agentic Era." The multimodal AI supports text, images, video, audio, and code, with applications spanning Google Search. Projects like Astra (AI assistant), Mariner (web task automation), and Jules (developer agent) demonstrate the model's practical potential. Google emphasized its focus on safety and continues to maintain the strictest guardrails in the industry. Illustration of the logo and website of GROK the generative artificial intelligence chatbot ... [+] developed by xAI. (Photo by RICCARDO MILANI/Hans Lucas/AFP via Getty Images) X Makes AI Chatbot Grok Free for All Users, Shifts to Freemium Model X (formerly Twitter) has made its AI chatbot Grok available to all users, eliminating the need for a Premium subscription. Users now receive 10 free prompts and 10 image generations every two hours, though image analysis is limited to three daily before a subscription is required. This move aligns X’s AI strategy with competitors like ChatGPT and Claude. Unlike Google Gemini, X’s Grok is uncensored. China Launches Bold BCI Trials to Rival Elon Musk’s Neuralink. China is advancing brain-computer interface technology with plans for large-scale clinical trials of its Neural Electronic Opportunity (NEO) device in 2025. Developed by Neuracle Technology and Tsinghua University, NEO employs a semi-invasive approach, placing electrodes outside the brain cortex to avoid direct contact with brain tissue. In a recent procedure, a 38-year-old spinal cord injury patient regained control of a prosthetic hand, performing tasks like unscrewing a bottle cap. The operation took just 1 hour and 40 minutes, aided by a real-time brain localization system. "Dino Hab" Brings Prehistoric Adventure to MR and VR. Film director Doug Liman’s 30 Ninjas, Meta, and Dark Slope have teamed up to launch Dino Hab , a Mixed Reality experience that lets players raise dinosaurs and restore prehistoric habitats in immersive 3D worlds. The company is touting its AI companion, powered by Inworld AI, that guides players between MR and VR environments. This unique cross-platform approach adds depth to the experience, blending exploration, care, and adventure. This column, formerly called “This Week in XR,” is also a podcast hosted by the author of this column, Charlie Fink, Ted Schilowitz, former studio executive and co-founder of Red Camera, and Rony Abovitz, founder of Magic Leap. This week our guest is. We can be found on Spotify , iTunes , and YouTube . What We’re Reading How Gaming Built The Metaverse While Big Tech Wasn’t Looking (Catherine Henry/Forbes)Still in search of cohesion, 76ers set to face NetsPresident Joe Biden pardons 39 Americans from non-violent crimes, defers 1500 sentences