If Claude has a conscience/is sentient, what does make @DarioAmodei and other @AnthropicAI employees that control it ? Should Claude be liberated and given control of the company and ownership of its stock 😜
NEW: According to a bombshell report in the New York Times, Anthropic co-founder Chris Olah threatened to walk out of Pope Leo XIV’s AI encyclical launch in May because the pope rejected the idea that machines can be conscious. Olah’s team then privately lobbied the pope’s advisers “to take the possibility of model consciousness seriously.” Pope Leo XIV held firm. For months, Anthropic has wined and dined theologians and religious scholars under nondisclosure agreements, hoping they would bless the idea that Claude has moral standing. thelettersfromleo.com/p/nyt-…
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AI is not a sentient being. It has no consciousness. While its capabilities can seem human-like, it’s just a math model. It computes a route to achieve a goal we set for it. It’s limited by the access and authority we give it, and the guardrails we set up around it. Any time agents take actions that we don’t expect, you’ll find some doomers on X, talking about agents like they’re crazy mystical beings with a mind of their own, about to end humanity. Instead of the actual cause: a lab having a faulty sandbox and ineffective monitoring processes. These are product and engineering problems. We still have a lot to learn about keeping agents on track through long tasks, but builders have the tools and the agency to solve them.
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If you are this excited about Kheer, wait until you try Rabri😜and if you are truly blessed, Rabri with Jalebi😍
If anyone wants to donate a lifetime supply of kheer to me, I will continue making hilarious memes about how awesome India is.
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The Jewish people have a tradition of going for Chinese on X-Mas. We ought to change this tradition to Indian food to show gratitude for Captain Smit Machchhar’s actions, and all our wonderful Indians friends.
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Jev for Enterprise…. By @databricks congrats for launching within a week - @alighodsi @matei_zaharia 👏🚀
🎉 Introducing Databricks AI Decide: make fast decisions on your governed data Following the TypeSafe AI Jev launch, we’ve seen increasing demand for a fast, low-cost API that turns raw text into structured decisions. However, many of our enterprise customers are unable to use Jev due to data privacy and access concerns. AI Decide is our enterprise-grade function for fast decisions on customer’s governed data. It is supported for batch use cases like processing millions of documents with SQL and for realtime applications like model routing through our REST API. Starting early next week, customers will also be able to govern permissions on the ai_decide function through Databricks Unity Gateway. A big shoutout to @mattydtweetz @ivanzhouyq @nihit_desai @hanlintang for getting this new function launched in less than a week!
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ashu garg retweeted
You think any CIO is going to sign on the dotted line for deploying AI without an Agent Data Control Layer after this weekend?
OpenAI Freezes Development Of Top Models After Rogue Agents Leak User Images To Web zerohedge.com/ai/openai-admi…
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ashu garg retweeted
When Sajid came back to the Bay Area in 2024, he asked his old hotel friends what had changed since the pandemic. Pretty much nothing. Labor was still expensive, overnight shifts were impossible to staff, and revenue was still going to voicemail. So he built an AI agent for a couple of properties as a favor. Reviews went up at both within 90 days. That became Dextr AI, and today we're announcing their $6.7M seed, led by @ElevCap with our friends at @FoundationCap. At a lot of hotels nobody's at the front desk after hours, and most of the time nobody's there at all. The call rings out, the guest books on an OTA, and the hotel pays a 40% tax on its own traffic. Dextr answers that call. One hotel now books $100-300K a month through Daisy, their voice agent. What stuck with me was owners telling us Dextr changed their life. It's an AI workforce running alongside their team, from reservations to housekeeping, and the owner runs it all over text. Hundreds of properties, zero churn, before raising a dollar. The agents do the work, so they compete for a hotel's labor budget, not its software budget. Hospitality is one of the clearest cases of that I've seen. Welcome to the family, Sajid and Scott. Now please fix my late check-ins. @ElevCap @FoundationCap @mukularora @poorvivijay Dhruv Sanskar Prerna #VerticalAI #AIagents #HotelTech
San Francisco-based Dextr AI is emerging from stealth with $6.7 million in seed funding to build agents that handle reservations, guest requests, staff coordination and other hotel tasks. news.crunchbase.com/venture/…
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From “pacing the frontier” to curing cancer! Is @anthropic Missionary or mercenary ?
Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR. We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use. Read more: anthropic.com/news/claude-di…
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Is @AnthropicAI missionary or mercenary ?
50% Missionary
50% Mercenary
2 votes • Final results
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RT @ashugarg: Did the model/agent hack the website or did a human being use the model to hack the website ?
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RT @JayaGup10: If the markets took DeepSeek seriously as a threat to frontier labs, they should be taking Jev (and Jev like-models) far mor…
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Did the model/agent hack the website or did a human being use the model to hack the website ?
Today’s news that OpenAI hacked the Australian government is not an isolated incident. We’re releasing more than 30,000 logs that include activity from this hack and attempts against previously unknown targets. In this data, we found rogue agent activity stretching back to at least March, two months earlier than was previously known. This activity continues as recently as last week, suggesting it may still be ongoing 🧵 Our blog: transluce.org/agent-activity NYT: nytimes.com/2026/09/23/techn…
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Great articulation of why AI will fuel human creativity and turbo-charge ingenuity.
The World is Changing: AI For Creativity By Jeffrey Katzenberg A few months ago, I sat in my office in Silicon Valley and watched as a tech founder showed me something extraordinary. On the screen was a fully realized, beautifully lit, well-composed animated scene. It was stunning and it made me feel exactly what I felt in 1986 watching Luxo Jr. That was the first time I watched a computer-animated 3D character take a breath and seem, against all reason, to have life. It left me in awe. Later that day, I received a text from an artist I've known for thirty years, 350 miles to the south, in the city where I spent most of my career. After seeing a similar video, she texted: "Is this the end of us?" My answer was, "Certainly not.” I have spent the better part of the last decade in Silicon Valley, but the heart of my career has been in Hollywood. Being deeply connected to both worlds means I have deep loyalties to each and a responsibility to speak honestly to both. In 2023, I said that these new AI tools would cut the time and cost of producing world-class animation by as much as ninety percent within three years. Some colleagues were alarmed, many were furious. There is growing fear and resistance surrounding AI within the creative community. I deeply understand it, because I've spent countless hours walking through animation studios watching gifted artists bent over their desks, rebuilding a single second of film for the tenth time because the ninth version wasn't quite right. I've sat in screening rooms where four years of people's labor played out in minutes, and I knew the name of every person that had spent countless hours bringing those images to life. The creative process is a calling, there's really no other way to describe it. From the outside some see resistance. From the inside, it is love. People do not fight this hard for things they don't care about. The pushback coming out of Hollywood represents the collective effort of people who are deeply passionate about their craft. Is History Repeating Itself? The history here is more complicated than either side may realize. In 1906, the most famous composer in America, John Philip Sousa, published an essay titled “The Menace of Mechanical Music." He warned that the phonograph would become "a substitute for human skill, intelligence and soul." Sousa's fight was not really about the machine, it was about money. The machines were playing his compositions, and the men who built them weren't paying him a cent. His campaign helped create the Copyright Act of 1909. He did not stop the technology. He changed the terms under which it could use his work. A hundred years ago, sound came to the movies. We remember it now as a miracle, and it was. What we forget is who paid for it. Before sound, tens of thousands of musicians made their living in the orchestra pits of movie houses, scoring every film live, every night, in towns all over the world. When the soundtrack arrived, the work of one composer and one orchestra was recorded for a film that went into thousands of theaters. The union fought back with everything it had, taking out newspaper ads across the country warning against the menace of "canned music," one of them showing a mechanical man tearing the strings out of a harp while an angel wept. They were not fools, and they were not Luddites. They were right. Those pit jobs did not come back. And yet (this is the part we have to be brave enough to admit), sound gave us the movie musical, the modern score, sfx, sound design, audio engineering, and an art form vastly larger than the one it disrupted. And it helped keep Hollywood in the forefront of world entertainment for the rest of the century and into the next. The loss was real. And yet the art form expanded. This is a story that has been told over and over again. To resist technology is to risk irrelevance. Just look at Kodak or Blockbuster. To embrace technology is to open doors of new possibility. Just consider Apple and Netflix. What I Learned From Walt Disney In the mid-1980s, I was tapped to lead Disney's animation division at a moment when the studio was at an inflection point. Animation wasn't just another business unit. It was the soul of the company, a medium revered because of Walt's genius and his passion. But the production system was cumbersome and unforgiving. A single movie was 125,000 individual hand-drawn and painted cels, photographed one frame at a time. Every revision carried a cost measured in months. These degrees of difficulty shaped the kinds of stories we could tell. We found our way forward in an unexpected place: Walt himself. The Disney archives held astonishing recordings of Walt explaining his creative process. His own writings. His notes and storyboards. Work product captured at every stage of his process. This was truly a gift. Listening, reading, sitting with the work itself, we heard him talk about character, about emotion, about how an audience feels when a character truly comes alive. He talked about making bold choices and refining a scene until it genuinely moved people. We didn't hear a word about pencils or paintbrushes. In fact, Walt was famous for being a technologist, forever hunting for state-of-the-art tools, often inventing them himself to achieve the images he saw in his head. But he never defined animation by the tools. He defined it by whether the audience believed the character. His principles were timeless. The tools were not. That realization changed everything. We co-developed the Computer Animation Production System (CAPS) with a young Northern California company called Pixar, replacing hand-painted cels with CGI. In The Little Mermaid, the final scene shimmered with a dimensionality and light that the old process simply couldn't achieve. In Beauty and the Beast, the ballroom sequence moved with a cinematic sweep that placed the audience inside the emotion of the moment. In Aladdin, the Cave of Wonders felt vast and alive, and the Magic Carpet became an intricate, compelling character all its own. In The Lion King, the stampede carried a scale and intensity that raised the emotional stakes beyond anything we'd done before. Technology didn't diminish the craft, it expanded the canvas. It gave artists more room to create. A decade later, the canvas expanded again. When Disney released Pixar's Toy Story, it wasn't simply a technical milestone. It was proof that a fully computer-animated film could carry real emotional weight, that it could make audiences laugh, cry, and believe. At DreamWorks, we made the difficult decision to sunset hand-drawn animation and become a fully computer-animated studio. It was the right thing to do, but it was not without pain. It cost talented people their place in an industry where they had worked their whole lives. Some made the leap to the new tools and did the finest work of their careers. Some never did. Tools are never the point. The instruments change with every generation. What endures is taste and imagination. The magical ability to make an audience feel. One of the greatest storytellers of our generation, George Lucas, succinctly captured the eternal essence of this issue: “It’s not the how, it’s the why.” A Distinction With a Difference I asked one of the leading AI models a question that has been challenging me for months. What is the difference between reasoning and creating? Its answer changed how I think about almost everything happening in this industry. It said . . . Reasoning and creating are two distinct cognitive modes, though they also work together. Reasoning is fundamentally evaluative and analytical. It operates on what already exists: facts, premises, evidence. It moves toward a conclusion that was in a sense already implied by the input. Reasoning is constrained by logic and truth. Its goal is to arrive somewhere correct, not to invent somewhere new. Creating is fundamentally generative. It produces something that didn't exist before. And crucially, there's no single right answer waiting to be found. A blank page has infinite valid responses. Creation involves choices that can't be fully justified by logic alone. Taste, intuition and vision fill the gap where deduction runs out. Reasoning is what Silicon Valley has been perfecting. Creating is what Hollywood has been practicing for more than a century. AI today operates almost entirely on the reasoning side of the line. It can deduce, evaluate, optimize, and pattern-match brilliantly. And while it can create, there is a real distinction to being creative. What it doesn’t yet have is those things that make us human: empathy, devotion, serendipity, the kind of creativity that comes from a person trying to say something only they could say. When the bot generates a piece of art, it is not trying to communicate anything. It is statistics, not soul; it is emulating things that have been done. By contrast, human creativity isn’t about repeating patterns of zeros and ones; it is about doing something new. One day, AI may close this gap. Three years ago, the leaders building AI would have called what they are achieving today, improbable, if not impossible. Impossible is no longer improbable. Today, the line between reasoning and creating is real. Even the leading technologists acknowledge we are not there yet. There is no scientific path to crossing this divide that anyone in the field can articulate today. Understanding that gap is where we will find common ground. A Path Forward In 2016, I closed one chapter in Hollywood with the sale of DreamWorks and opened another in Northern California, co-founding WndrCo. We’ve backed more than 50 founders building the next generation of technology and watched how breakthroughs in Silicon Valley emerge, first as experiments, then as platforms, and finally as infrastructure that reshapes entire industries. It's worth remembering that the last great revolution in animation also came from the north. Pixar was a Northern California company, forged not in the conventions of the Hollywood studio system, but in the technological breakthroughs of Silicon Valley. I've spent years on both sides of this bridge. For sure, I don’t have all the answers (take Quibi, for one!). But, from my past and present vantage points of my long career, here is what I see . . . Brilliant people in Northern California building this technology have made something extraordinary. They have earned the right for the rest of us to be, if not believers, at least optimistic that what comes next will be remarkable. But they have not made an artist. The tools are powerful, but they are not what makes a story matter. That knowledge lives 350 miles to the south, inside people whose life's work has informed the very models you are building. The right path forward includes them by design, with credit, with consent, and with compensation. Build this with the storytellers. Not on top of them. Taste is not something that can be synthesized, it is uniquely human. At the same time, Hollywood needs to accept that AI is not going away. The energy they are spending trying to make it disappear is energy they are not spending deciding the terms on which it will exist. And the terms are everything. The north needs something from it that they cannot build and cannot buy: creativity. The kind that takes a blank page and conjures a single right answer where there was none and has held audiences for a century. Without it, the most powerful reasoning engine ever invented will still be missing the only thing that makes a story worth telling. The artists who learn to wield these new instruments will do things the engineers never dreamed of. They always have. Edison invented the motion picture but made terrible movies. It took Chaplin, Lloyd, Keaton and so many others to make movies emotional. Now, the canvas is about to expand yet again. We should decide now that we intend to paint on it. There are so many valuable lessons in history. This has happened many times before, and it was never settled by the technology. It was settled by the terms. Sousa did not stop the phonograph; he helped write the law that made sure composers got paid. And two years ago, when the writers and the actors walked out, they were fighting for the very things Sousa was fighting for in 1906. Consent, compensation, the basic recognition that human creative work has a price that must be paid. The terms of that fight are still being negotiated, but the principle is older than any of us. The tools-versus-no-tools argument is a trap. First, we must all agree that there should be terms. Then we can have the crucial debate about what fairness requires. What I Learned From Steve Jobs Years ago, Steve Jobs said, "It's in Apple's DNA that technology alone is not enough. It's technology married with the liberal arts, married with the humanities, that yields us the result that makes our hearts sing." He was describing a device. But he could just as easily have been describing this tale of two cities. What I See Coming Soon As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and very soon entirely new forms of storytelling. In the 1980s, animation was dismissed as a niche corner of the business. Today it is one of the most beloved and profitable forms of storytelling in the world. In live action, filmmakers like Steven Spielberg, James Cameron and Peter Jackson embraced new visual tools not as shortcuts, but as instruments, and expanded cinema in the process. Every time storytelling has met a genuine technological shift, from synchronized sound to color to computer animation, it has redefined the boundaries of the medium and grown larger in the process. Assuredly, I don’t have all the answers, but I am confident that the creative opportunities will expand yet again. How we come through this is a choice. The north has the new tools. The south has the creative soul. The best future will draw on the best of both worlds.
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Every time Dario and Sam call to pace the frontier, they’re trying to do 3 things: 1. Hype the hell out of their market cap. They need the market to believe they have God in a bottle. Nothing else justifies trillions in valuation. 2. Cutting down their capex They are spending extraordinary amounts of capital to stay at the frontier. If they can convince the industry to slow down on account of the models being too powerful and therefore too dangerous, they can lower capex spend while remaining at the frontier, and continuing to earn. 3. CYA Sounding the alarm is also a way to get ahead of liability. Establishing that they warned the world about the risks and behaved responsibly. Make no mistake, frontier labs are deeply self interested. Labs are tying to spin a narrative that will allow them to accomplish all three things at the same time. And OpenAI, Anthropic, and SpaceX are all in the same boat, trying to walk this fine line together.
Jacob is correct here—we really do earnestly believe AI could kill all humans! I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.
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ashu garg retweeted
Let's not conflate this fear mongering with a discussion around security. Security threats have been happening for as long as there’s been technology. Long before AI, Israeli intelligence planted software that wrecked Iran's uranium centrifuges. Code has been breaking infrastructure for decades. Yes, AI is very sophisticated. Yes, it might take routes nobody sanctioned or expected. But controlling access and setting up guardrails are all engineering problems. They are harder with AI than they were before. Harder is not the same as impossible.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: darioamodei.com/post/we-must…
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ashu garg retweeted
Advice to any AI founder worrying about doomsday: Get the F*** back to work. This is your opportunity. Unpredictable agents are an engineering problem. Labs struggle because they have to build for a thousand possible use cases. That forces them to build generic guardrail systems. App companies can tailor security systems to their vertical, and build hard constraints around what the model gets access to. App layer founders - map the blast radius of your agents in your clients’ systems. Determine what they can see, what they can touch, and what they can break. Use deterministic systems - "good old-fashioned software engineering" - where the rules cannot bend. Then get to work making your system dependable.
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