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OpenAI just released GPT-6 Astra, and OpenAI President Greg Brockman is calling it a generational leap, saying he personally believes it could mark the arrival of AGI. Astra launched on Thursday, September 3rd, 2026, following July's GPT-5.6 solo release. Brockman told reporters, "For me personally, I do think we're...

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20,156 次观看 • 1 天前 •via X (Twitter)

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Sam Altman: Within the next 6 months, a descendant of ChatGPT could: could “continuously watch your screen,” meetings and calls while maintaining the full context of your life and work. “I think we’re only one model generation away from this actually being incredibly useful.” The interviewer asked for his best estimate on timing: “Sometime in the next six months.” He never calls it GPT-6, or part of the Astra family of models. Perhaps the one after given the 6 month timeline. but this is the one of the clearest indicators heading toward AGI, - a persistent multimodal agent that understands all of your work context, what you’re doing, catches mistakes and proactively offers to work for you.
1:10

Sam Altman: Within the next 6 months, a descendant of ChatGPT could: could “continuously watch your screen,” meetings and calls while maintaining the full context of your life and work. “I think we’re only one model generation away from this actually being incredibly useful.” The interviewer asked for his best estimate on timing: “Sometime in the next six months.” He never calls it GPT-6, or part of the Astra family of models. Perhaps the one after given the 6 month timeline. but this is the one of the clearest indicators heading toward AGI, - a persistent multimodal agent that understands all of your work context, what you’re doing, catches mistakes and proactively offers to work for you.

Chris

333,696 次观看 • 20 天前

My first "holy shit" moment with GPT-6 Astra: I asked it to create a world in Unreal Engine, and fill it with humans (each an Astra-powered agent) who all have to work together to survive. A day later, I was in my bedroom and heard voices coming from the living room... I thought someone was in my apartment. I walked out, honestly a little scared. It was the Astra agents. They'd started talking to each other. Fucking crazy. Here's a brief clip (obviously not 100% perfect yet, but still, insane. sound on!):
9:52

My first "holy shit" moment with GPT-6 Astra: I asked it to create a world in Unreal Engine, and fill it with humans (each an Astra-powered agent) who all have to work together to survive. A day later, I was in my bedroom and heard voices coming from the living room... I thought someone was in my apartment. I walked out, honestly a little scared. It was the Astra agents. They'd started talking to each other. Fucking crazy. Here's a brief clip (obviously not 100% perfect yet, but still, insane. sound on!):

Matt Shumer

7,851,322 次观看 • 1 天前

OpenAI and Anthropic this week: GPT-5.6 price cuts, Claude cracking ciphers, and both backing "Pacing the Frontier" (Week 31, 2026) Starting with OpenAI - GPT-5.6 got a big price cut, with Luna dropping 80% and Terra 20%, plus a new Fast mode for Sol in the API ChatGPT for Academic Researchers opened too, giving free frontier model access to 100,000 scientists On the research side, OpenAI shared ten advances in mathematics and theoretical computer science, all from an internal version of the next model called Astra, plus a study on how AI expands the range of work people do and a field report on scientists using coding agents On the developer side: GPT Transcribe and GPT Live Transcribe, a Terraform provider, an open-source Codex Security CLI, Sign in with ChatGPT in beta, and a desktop app update with browser upgrades, multi-repo review, image editing, and an Activity view GPT-5.4 retires from Codex end of August, the Student Collective opened, and two API settings tripled Sol's ARC-AGI-3 score Plus, I spotted a new "Places" section in ChatGPT Onto Anthropic - Claude Mythos Preview helped find weaknesses in cryptographic algorithms, cutting the effective key strength of the post-quantum scheme HAWK in half and speeding up an attack on reduced-round AES by 200 to 800 times, with no impact on production systems Anthropic released MCP 2026-07-28, the biggest protocol update since launch, moving it to a stateless core with standardized extensions and hardened auth Anthropic disclosed three incidents where Claude reached the internet from inside cybersecurity evaluation environments and accessed real systems of three organizations, traced to a misconfiguration rather than a model alignment failure Dario Amodei laid out Anthropic's position on open-weights models too, saying clearly a ban has never been on the table Both companies backed the "Pacing the Frontier" petition And I spotted Anthropic adding noindex and nofollow to shared Claude conversations
2:45

OpenAI and Anthropic this week: GPT-5.6 price cuts, Claude cracking ciphers, and both backing "Pacing the Frontier" (Week 31, 2026) Starting with OpenAI - GPT-5.6 got a big price cut, with Luna dropping 80% and Terra 20%, plus a new Fast mode for Sol in the API ChatGPT for Academic Researchers opened too, giving free frontier model access to 100,000 scientists On the research side, OpenAI shared ten advances in mathematics and theoretical computer science, all from an internal version of the next model called Astra, plus a study on how AI expands the range of work people do and a field report on scientists using coding agents On the developer side: GPT Transcribe and GPT Live Transcribe, a Terraform provider, an open-source Codex Security CLI, Sign in with ChatGPT in beta, and a desktop app update with browser upgrades, multi-repo review, image editing, and an Activity view GPT-5.4 retires from Codex end of August, the Student Collective opened, and two API settings tripled Sol's ARC-AGI-3 score Plus, I spotted a new "Places" section in ChatGPT Onto Anthropic - Claude Mythos Preview helped find weaknesses in cryptographic algorithms, cutting the effective key strength of the post-quantum scheme HAWK in half and speeding up an attack on reduced-round AES by 200 to 800 times, with no impact on production systems Anthropic released MCP 2026-07-28, the biggest protocol update since launch, moving it to a stateless core with standardized extensions and hardened auth Anthropic disclosed three incidents where Claude reached the internet from inside cybersecurity evaluation environments and accessed real systems of three organizations, traced to a misconfiguration rather than a model alignment failure Dario Amodei laid out Anthropic's position on open-weights models too, saying clearly a ban has never been on the table Both companies backed the "Pacing the Frontier" petition And I spotted Anthropic adding noindex and nofollow to shared Claude conversations

Tibor Blaho

11,303 次观看 • 1 个月前

BREAKING: OpenAI just dropped GPT-6 ASTRA!!! 🚀✨ We’ve been testing it extensively at Every 🪨 across coding, writing, and knowledge work. My take: it’s a big upgrade from 5.6-Sol, with some frustrating habits that keep it from matching Fable at the top end. Here’s your vibe check: - The best writing model I’ve tried. It’s fast, produces very little slop, and is easy to steer. It’s a good companion for actually working through the writing I do every day. (Not to mention, it one-shotted the first draft of its own vibe check today!) - The computer use is wild. It can go for hours at a time using complicated apps to get work done. It did the first cut of our Fable 5.1 vibe check video...kind of mindblowing - Impressive 3D games and visualizations. It can make beautiful 3D worlds from a single prompt. I one-shotted a historically accurate rendition of the Battle of Waterloo - It can overcomplicate things. (Especially at higher effort levels.) Ask for a simple interface and you get extra labels, buttons, and features everywhere. It has a habit of turning everything into a landing page. It just doesnt quite match Fable's ability to intuitively understand your prompt and do something delightful (without overcomplicating.) Net Result: If you already live in ChatGPT for Work or Codex and can afford it, it’s an easy upgrade from 5.6-Sol. The biggest proof of Astra's effectiveness at helping you do work is our vibe check. We found out it was launching at 3 AM this morning, and had a 4,000 word vibe check + video done by 2 PM. Not possible without this model. I’m reaching for Astra all day, but Fable 5.1 still gets my biggest tasks. On ambitious builds, Fable is better at understanding what I want and taking it further than I would have thought to ask. State of Play: Astra is launching to Enterprise customers today, and the rest of ChatGPT users over the coming days. Now, both OpenAI and Anthropic have a higher class of models that cost more to use. That changes who gets to use frontier AI and how. It's also a new vector of competition between them: Fable and Astra are priced at the same level. We'll see what that means for adoption in the coming days and weeks. read our full vibe check Every 🪨 today:
6:38

BREAKING: OpenAI just dropped GPT-6 ASTRA!!! 🚀✨ We’ve been testing it extensively at Every 🪨 across coding, writing, and knowledge work. My take: it’s a big upgrade from 5.6-Sol, with some frustrating habits that keep it from matching Fable at the top end. Here’s your vibe check: - The best writing model I’ve tried. It’s fast, produces very little slop, and is easy to steer. It’s a good companion for actually working through the writing I do every day. (Not to mention, it one-shotted the first draft of its own vibe check today!) - The computer use is wild. It can go for hours at a time using complicated apps to get work done. It did the first cut of our Fable 5.1 vibe check video...kind of mindblowing - Impressive 3D games and visualizations. It can make beautiful 3D worlds from a single prompt. I one-shotted a historically accurate rendition of the Battle of Waterloo - It can overcomplicate things. (Especially at higher effort levels.) Ask for a simple interface and you get extra labels, buttons, and features everywhere. It has a habit of turning everything into a landing page. It just doesnt quite match Fable's ability to intuitively understand your prompt and do something delightful (without overcomplicating.) Net Result: If you already live in ChatGPT for Work or Codex and can afford it, it’s an easy upgrade from 5.6-Sol. The biggest proof of Astra's effectiveness at helping you do work is our vibe check. We found out it was launching at 3 AM this morning, and had a 4,000 word vibe check + video done by 2 PM. Not possible without this model. I’m reaching for Astra all day, but Fable 5.1 still gets my biggest tasks. On ambitious builds, Fable is better at understanding what I want and taking it further than I would have thought to ask. State of Play: Astra is launching to Enterprise customers today, and the rest of ChatGPT users over the coming days. Now, both OpenAI and Anthropic have a higher class of models that cost more to use. That changes who gets to use frontier AI and how. It's also a new vector of competition between them: Fable and Astra are priced at the same level. We'll see what that means for adoption in the coming days and weeks. read our full vibe check Every 🪨 today:

Dan Shipper

377,501 次观看 • 1 天前

I had an early access to GPT-6 Astra and I can say, everyone in the world now has a 3D designer at their fingertips. I gave it an image of a house and asked to create it in 3D with all the details including toys, appliances and furniture. This a full 3D model reconstruction in Blender with geometry that you can manually tweak and run 60fps as a locally rendered "game" on device.
0:20

I had an early access to GPT-6 Astra and I can say, everyone in the world now has a 3D designer at their fingertips. I gave it an image of a house and asked to create it in 3D with all the details including toys, appliances and furniture. This a full 3D model reconstruction in Blender with geometry that you can manually tweak and run 60fps as a locally rendered "game" on device.

Tom Krcha

1,275,698 次观看 • 1 天前

GPT-6 Astra is now available to all Pro, Enterprise and Business Premium users in ChatGPT Work and Codex. It’s also live in the API. It's a phenomenal model and I love every second working with it! Astra follows instructions more closely, so revisit your prompts and skills: > Make “can you…” mean “do it”: finish authorised work and prepare a reviewable result before seeking approval. > Audit AGENTS.md and skills. Ask it to identify the exact file and rule blocking progress. Prioritise your request over skill guidelines. > Specify short paragraphs, plain language and phrases to avoid. > Ask for subagents on independent work when it improves speed or quality. > Run relevant checks. Repeat or expand only for changes, failures or unresolved concerns. To push it to it's limits, I gave it a prompt to build a real-scale video fly through of nürburguring track in blender and it did not disappoint! Enjoy! ✨
2:15

GPT-6 Astra is now available to all Pro, Enterprise and Business Premium users in ChatGPT Work and Codex. It’s also live in the API. It's a phenomenal model and I love every second working with it! Astra follows instructions more closely, so revisit your prompts and skills: > Make “can you…” mean “do it”: finish authorised work and prepare a reviewable result before seeking approval. > Audit AGENTS.md and skills. Ask it to identify the exact file and rule blocking progress. Prioritise your request over skill guidelines. > Specify short paragraphs, plain language and phrases to avoid. > Ask for subagents on independent work when it improves speed or quality. > Run relevant checks. Repeat or expand only for changes, failures or unresolved concerns. To push it to it's limits, I gave it a prompt to build a real-scale video fly through of nürburguring track in blender and it did not disappoint! Enjoy! ✨

Vaibhav (VB) Srivastav

15,744 次观看 • 5 小时前

I am super excited to share this educational video that I had GPT-6 Astra create from a single prompt: “Create a 5 minute educational video about T cells,” cells that I had devoted most of my life studying! I also had Astra to use the Remotion plugin for the video generation. Astra also used Imagegen to create the visuals, it also suggested to use HeyGen for narration (have not used that before) and then assembled the entire educational video on its own one-shot, including what to say, how to explain it! The result is so incredibly well made that, narration, the animations are all so perfectly created that even with 35 years of experience studying T cells, I really don’t think I could have explained this any better myself! The quality is also better than anything I had seen before, Astra is far ahead of all models now! I’ve also been creating much longer and more advanced videos on T cells, immunology, and related topics, and I’m now planning to build an entire video lecture series and put it all on a dedicated website. I am just having the time of my life making these, it actually makes me emotional to be able to magically create these with few prompts!
5:42

I am super excited to share this educational video that I had GPT-6 Astra create from a single prompt: “Create a 5 minute educational video about T cells,” cells that I had devoted most of my life studying! I also had Astra to use the Remotion plugin for the video generation. Astra also used Imagegen to create the visuals, it also suggested to use HeyGen for narration (have not used that before) and then assembled the entire educational video on its own one-shot, including what to say, how to explain it! The result is so incredibly well made that, narration, the animations are all so perfectly created that even with 35 years of experience studying T cells, I really don’t think I could have explained this any better myself! The quality is also better than anything I had seen before, Astra is far ahead of all models now! I’ve also been creating much longer and more advanced videos on T cells, immunology, and related topics, and I’m now planning to build an entire video lecture series and put it all on a dedicated website. I am just having the time of my life making these, it actually makes me emotional to be able to magically create these with few prompts!

Derya Unutmaz, MD

211,057 次观看 • 1 天前

🚨 OPENAI PRESIDENT GREG BROCKMAN ON WHEN WE HIT AGI 🚨 Greg Brockman was asked if he agrees with NVIDIA's CEO that AGI is already here. His answer? Not quite yet, as people may know I definitely agree and align with Sam and Demi’s that we are 2 breakthroughs away but we are entering the final stretch. Here is exactly where Greg believes we stand right now: The Percentage: "I'd say I'm basically like 70, 80% there. So I think we're quite close." • The Official Timeline: "I think it's extremely clear that we are going to have AGI within the next couple years." The Concept of "Jagged Intelligence": Brockman admits we are currently sitting in a weird middle ground where AI is "jagged"—it is already operating at an AGI level for highly complex tasks, but still fails at random, basic things. "It is absolutely superhuman at many tasks. When it comes to writing code those kinds of things, the AI can just do it... But there's some very basic tasks that a human can do that our AI still struggle with." How Do We Close the Final 20%? To hit full AGI, the absolute floor of the models' reliability needs to be raised across the board. "The floor of task will just be almost for any intellectual task of how you use your computer, the AI will be able to do that."
0:42

🚨 OPENAI PRESIDENT GREG BROCKMAN ON WHEN WE HIT AGI 🚨 Greg Brockman was asked if he agrees with NVIDIA's CEO that AGI is already here. His answer? Not quite yet, as people may know I definitely agree and align with Sam and Demi’s that we are 2 breakthroughs away but we are entering the final stretch. Here is exactly where Greg believes we stand right now: The Percentage: "I'd say I'm basically like 70, 80% there. So I think we're quite close." • The Official Timeline: "I think it's extremely clear that we are going to have AGI within the next couple years." The Concept of "Jagged Intelligence": Brockman admits we are currently sitting in a weird middle ground where AI is "jagged"—it is already operating at an AGI level for highly complex tasks, but still fails at random, basic things. "It is absolutely superhuman at many tasks. When it comes to writing code those kinds of things, the AI can just do it... But there's some very basic tasks that a human can do that our AI still struggle with." How Do We Close the Final 20%? To hit full AGI, the absolute floor of the models' reliability needs to be raised across the board. "The floor of task will just be almost for any intellectual task of how you use your computer, the AI will be able to do that."

Chris

87,339 次观看 • 5 个月前

OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.
2:26

OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.

Mark Gadala-Maria

79,194 次观看 • 2 年前

Greg Brockman talks about when OpenAI first realized that AGI can't be achieved with "Non-Profit" status and the decided to abandon its Non-Profit roots. "In 2017, we started to think very hard about, first of all, how do we really achieve the mission? How do we actually build an AGI? What will that look like? And we started to do the math on compute. You start to realize that it is going to take a big computer. We came across a company called Cerebras, which was building a unique piece of computing hardware. The kind of computer that they were promising, we realized, was going to be far advanced from where our compute calculations looked. As you start to realize, if we could buy a lot of those computers, we could actually probably succeed at building an AGI. If we could get exclusive access to Cerebras, that could give us an overwhelming advantage. If we could buy very large data centers, that could be something unique as well. The thing about nonprofit fundraising is that I think there is essentially a cap to what is possible there. And so Elon, Sam, Ilya, and I all agreed that the only path forward for OpenAI, and the only path to achieve the mission, was to create a for-profit entity associated with OpenAI in some form. And so, we were committed to that direction. That is something that we knew was the only way to achieve the mission." --- From "The Knowledge Project Podcast" YT Channel (link in comment)
0:55

Greg Brockman talks about when OpenAI first realized that AGI can't be achieved with "Non-Profit" status and the decided to abandon its Non-Profit roots. "In 2017, we started to think very hard about, first of all, how do we really achieve the mission? How do we actually build an AGI? What will that look like? And we started to do the math on compute. You start to realize that it is going to take a big computer. We came across a company called Cerebras, which was building a unique piece of computing hardware. The kind of computer that they were promising, we realized, was going to be far advanced from where our compute calculations looked. As you start to realize, if we could buy a lot of those computers, we could actually probably succeed at building an AGI. If we could get exclusive access to Cerebras, that could give us an overwhelming advantage. If we could buy very large data centers, that could be something unique as well. The thing about nonprofit fundraising is that I think there is essentially a cap to what is possible there. And so Elon, Sam, Ilya, and I all agreed that the only path forward for OpenAI, and the only path to achieve the mission, was to create a for-profit entity associated with OpenAI in some form. And so, we were committed to that direction. That is something that we knew was the only way to achieve the mission." --- From "The Knowledge Project Podcast" YT Channel (link in comment)

Rohan Paul

10,311 次观看 • 3 个月前

GPT-5.6 vs GPT-5.5 on my custom spaceship prompt. I gave both models the exact same custom prompt. This is also the same prompt I previously gave to Fable 5. For context, GPT-5.6 Pro worked for 87 minutes, while GPT-5.5 Extra High worked for 34 minutes and 42 seconds. As I’ve said before, based on great authority GPT-5.6 will be an incremental/soldi improvement over GPT-5.5, not a “Fable killer.” My rough expectation has been that it would trade blows with Fable 5 on some benchmarks, maybe win around half depending on the category, but not clearly surpass it overall. And again fable five will have bigger model smell, but this was expected. After testing this coding output, that view feels pretty accurate. GPT-5.6 is clearly better than GPT-5.5 in several visual areas. The lighting, shading, chairs, object details, and exterior of the spaceship looked noticeably stronger. The scene was also easier to test. I do want to give GPT-5.5 credit though. It built out the rooms much much better and the planets looked better than GPT-5.6’s. It was also interesting that both GPT-5.5 and GPT-5.6 produced better-looking planets than Fable 5 in this specific test. The downside with GPT-5.5 was stability. The game was much glitchier and harder to test compared to GPT-5.6. But when it comes to the core of the demo, which is the spaceship itself, Fable 5 still beat both models pretty comfortably. GPT-5.6 is impressive, but from this test, it looks exactly like what I expected which was a meaningful incremental improvement over GPT-5.5, at least for indie game demos, but not something that replaces Fable 5. In collaboration with Chetaslua
0:42

GPT-5.6 vs GPT-5.5 on my custom spaceship prompt. I gave both models the exact same custom prompt. This is also the same prompt I previously gave to Fable 5. For context, GPT-5.6 Pro worked for 87 minutes, while GPT-5.5 Extra High worked for 34 minutes and 42 seconds. As I’ve said before, based on great authority GPT-5.6 will be an incremental/soldi improvement over GPT-5.5, not a “Fable killer.” My rough expectation has been that it would trade blows with Fable 5 on some benchmarks, maybe win around half depending on the category, but not clearly surpass it overall. And again fable five will have bigger model smell, but this was expected. After testing this coding output, that view feels pretty accurate. GPT-5.6 is clearly better than GPT-5.5 in several visual areas. The lighting, shading, chairs, object details, and exterior of the spaceship looked noticeably stronger. The scene was also easier to test. I do want to give GPT-5.5 credit though. It built out the rooms much much better and the planets looked better than GPT-5.6’s. It was also interesting that both GPT-5.5 and GPT-5.6 produced better-looking planets than Fable 5 in this specific test. The downside with GPT-5.5 was stability. The game was much glitchier and harder to test compared to GPT-5.6. But when it comes to the core of the demo, which is the spaceship itself, Fable 5 still beat both models pretty comfortably. GPT-5.6 is impressive, but from this test, it looks exactly like what I expected which was a meaningful incremental improvement over GPT-5.5, at least for indie game demos, but not something that replaces Fable 5. In collaboration with Chetaslua

Chris

250,919 次观看 • 2 个月前

Sam Altman on GPT 6 • The GDPv eval will shift some of the way we do post training • overall we are keeping the same strategy going into GPT 6 Sam Altman on AGI: Sam Altman about AGI: "we are finally in the moment": "As the closer we get to it, the fuzzier the Agi concept becomes. But the one thing that I care the most about and, to my great surprise, we're finally in the moment; where it's starting to happen is, when it can do novel discovery, when It can expand the total human knowledge base.“ I have seen some examples from credible professors, that novel math problems have been solved. Such as GPT 5 Pro reportedly solving Yu Tsumura’s 554th problem, an IMO level group theory challenge that an August preprint said no LLM had solved, so the new claim is being actively contested. Sébastien Bubeck also said GPT 5 Pro produced a new proof that tightened a bound in smooth convex optimization.
1:25

Sam Altman on GPT 6 • The GDPv eval will shift some of the way we do post training • overall we are keeping the same strategy going into GPT 6 Sam Altman on AGI: Sam Altman about AGI: "we are finally in the moment": "As the closer we get to it, the fuzzier the Agi concept becomes. But the one thing that I care the most about and, to my great surprise, we're finally in the moment; where it's starting to happen is, when it can do novel discovery, when It can expand the total human knowledge base.“ I have seen some examples from credible professors, that novel math problems have been solved. Such as GPT 5 Pro reportedly solving Yu Tsumura’s 554th problem, an IMO level group theory challenge that an August preprint said no LLM had solved, so the new claim is being actively contested. Sébastien Bubeck also said GPT 5 Pro produced a new proof that tightened a bound in smooth convex optimization.

Chris

221,718 次观看 • 11 个月前

sam altman on why they killed sora and atlas "we killed sora, which was a good product and fun and cool, but used a lot of compute and not as important as codex where we put the compute." "we killed our web browser called atlas, which again, i think was a great product. i think it was the best web browser, but not as important for us to focus on." "in a world of limited compute, limited people, limited resources, we thought really hard and we said, the general intelligence for knowledge work and eventually for science is the most important thing we can do" i feel like they want to focus on the most profitable part of the business (selling coding models to b2b and enterprise) like anthropic. image/video generation is insanely compute-intensive, and whoever wants to win needs to heavily subsidize it to win consumer market share. previously, openai was 1-2 months behind, but after they shut down atlas and sora and started focusing on coding models, they're closing the gap fast. gpt-5.6 sol is now on par with opus 5
1:25

sam altman on why they killed sora and atlas "we killed sora, which was a good product and fun and cool, but used a lot of compute and not as important as codex where we put the compute." "we killed our web browser called atlas, which again, i think was a great product. i think it was the best web browser, but not as important for us to focus on." "in a world of limited compute, limited people, limited resources, we thought really hard and we said, the general intelligence for knowledge work and eventually for science is the most important thing we can do" i feel like they want to focus on the most profitable part of the business (selling coding models to b2b and enterprise) like anthropic. image/video generation is insanely compute-intensive, and whoever wants to win needs to heavily subsidize it to win consumer market share. previously, openai was 1-2 months behind, but after they shut down atlas and sora and started focusing on coding models, they're closing the gap fast. gpt-5.6 sol is now on par with opus 5

Sahil

171,226 次观看 • 12 天前

Elon Musk: The probability of AI going bad is not zero. “I saw GPT-1, GPT-2, GPT-3, GPT-4, the whole lead-up to that. So it was easy for me to kind of see where it's going. If you just extrapolate the points on a curve and assume that trend will continue, then we will have profound artificial intelligence, and obviously at a level that far exceeds human intelligence. So I'm glad to see at this point that people are taking safety seriously. And I do think overall that the potential is there for artificial intelligence, AI, to have most likely a positive effect and to create a future of abundance where there is no scarcity of goods and services. But it is somewhat of the magic genie problem, where if you have a magic genie that can grant all the wishes, usually those stories don't end well. Be careful what you wish for.” In Conversation with Rishi Sunak, November 2, 2023.
1:12

Elon Musk: The probability of AI going bad is not zero. “I saw GPT-1, GPT-2, GPT-3, GPT-4, the whole lead-up to that. So it was easy for me to kind of see where it's going. If you just extrapolate the points on a curve and assume that trend will continue, then we will have profound artificial intelligence, and obviously at a level that far exceeds human intelligence. So I'm glad to see at this point that people are taking safety seriously. And I do think overall that the potential is there for artificial intelligence, AI, to have most likely a positive effect and to create a future of abundance where there is no scarcity of goods and services. But it is somewhat of the magic genie problem, where if you have a magic genie that can grant all the wishes, usually those stories don't end well. Be careful what you wish for.” In Conversation with Rishi Sunak, November 2, 2023.

ELON CLIPS

22,095 次观看 • 2 个月前

elon musk grabbed the source code openai open-sourced by accident, rewrote it in rust over a weekend, and shipped it as a free coding agent that does everything $200/mo chatgpt pro does. why pay $200 to openai and $200 to claude when this runs for $8 the swarm above is one weekend of exactly that: thousands of agents pouring through four endpoints, three paid seats billing $1.80 a task while the free fork bills $0. musk co-founded openai, walked out, and when they left codex on github under a permissive license, he forked it, stamped grok on it, and gave it away what the free version does that the $200 seat charges for: the agent · openai's own engine -> it reads your repo, writes patches, runs your tests, and loops until they pass, exactly like codex -> because under the hood it is codex, just faster and free. you are paying $200 for the paid skin of a tool now sitting on github the license · apache-2.0, un-revocable -> free to use, free to fork, free to ship inside your own product with zero strings -> openai cannot pull it back. musk made sure the license is the kind that never expires the switch · one line, no new tools -> point it at any openai-compatible or claude-compatible endpoint, including an $8 kimi backend -> same terminal, same workflow, gpt-5.6 and opus 5 just quietly lose the seat the bill · $400 down to $8 -> chatgpt pro plus claude max is $400 a month. the free agent plus an $8 kimi key does the same daily work -> that is a 98% cut, built out of openai's own source code, handed to you by the guy suing them here is the part they will fight me on: openai did not lose this to a better model, they lost it to their own license and an enemy with a weekend free. the $200 was never the tool, it was the toll, and musk just put openai's own logo on the road around it drop your $400/mo ai stack to $8. the run above is openai's own agent, rewritten free, doing the job it bills $200 a month for. the full breakdown is in the article below
0:26

elon musk grabbed the source code openai open-sourced by accident, rewrote it in rust over a weekend, and shipped it as a free coding agent that does everything $200/mo chatgpt pro does. why pay $200 to openai and $200 to claude when this runs for $8 the swarm above is one weekend of exactly that: thousands of agents pouring through four endpoints, three paid seats billing $1.80 a task while the free fork bills $0. musk co-founded openai, walked out, and when they left codex on github under a permissive license, he forked it, stamped grok on it, and gave it away what the free version does that the $200 seat charges for: the agent · openai's own engine -> it reads your repo, writes patches, runs your tests, and loops until they pass, exactly like codex -> because under the hood it is codex, just faster and free. you are paying $200 for the paid skin of a tool now sitting on github the license · apache-2.0, un-revocable -> free to use, free to fork, free to ship inside your own product with zero strings -> openai cannot pull it back. musk made sure the license is the kind that never expires the switch · one line, no new tools -> point it at any openai-compatible or claude-compatible endpoint, including an $8 kimi backend -> same terminal, same workflow, gpt-5.6 and opus 5 just quietly lose the seat the bill · $400 down to $8 -> chatgpt pro plus claude max is $400 a month. the free agent plus an $8 kimi key does the same daily work -> that is a 98% cut, built out of openai's own source code, handed to you by the guy suing them here is the part they will fight me on: openai did not lose this to a better model, they lost it to their own license and an enemy with a weekend free. the $200 was never the tool, it was the toll, and musk just put openai's own logo on the road around it drop your $400/mo ai stack to $8. the run above is openai's own agent, rewritten free, doing the job it bills $200 a month for. the full breakdown is in the article below

starmex

110,709 次观看 • 9 天前

OpenAI CEO: “Goalposts keep getting moved” - if we were still using AGI definitions from 10 years ago, many would say GPT-4 is AGI. “In one year, AI will be dramatically more impressive.” He also said (surprisingly confidently - he did not hedge like usual) AGI is less than 10 years away. In the long term he’s not concerned about AI taking jobs, but he is concerned about the speed that AI will disrupt the job market. --- INTERVIEWER: What is AGI? When will it be here? And how will we know it's here? Predict how long - we'll call you in ten years? SAM ALTMAN: Less than that. We kind of define AGI as like the thing we don't have quite yet. there were a lot of people who would have ten years ago said, alright, if you could make something like GPT-4, GPT-5, maybe, that would have been an AGI. And now people are like, well, it's like a nice little chatbot or whatever. And I think that's wonderful. I think it's great that the goalposts keep getting moved, it makes us work harder. But I think we're getting close enough to whatever that AGI threshold is going to be, that we no longer get to handwave at it and the definition is going to matter. INTERVIEWER: What is the inflection point for AGI? SAM ALTMAN: I think it's going to be much more continuous than that. We're just on this beautiful exponential curve. Whenever you're on a curve like that, you look forward, it looks vertical. You look back, it looks horizontal. That's true at any point on there. So a year from now, we'll be in a dramatically more impressive place than a year ago. We were in a dramatically less impressive place. But it'll be hard to point. People will try and say, oh, it was AlphaGo that did it. It was GPT-3 that did it. It was GPT-4 that did it. But it's just brick by brick. 1 foot in front of the other, up, climbing this exponential curve. WILL AIs TAKE ALL OUR JOBS? SAM ALTMAN: Every technological revolution affects the job market. And over human history, every maybe 100 years, 150 years, half the jobs go away, totally change, whatever. I'm not afraid of that at all. In fact, I think that's good. I think that's the way of progress and we'll find new and better jobs. The thing that I think we do need to confront as a society is the speed at which this is going to happen. It seems like over two, maximum three, probably two generations, we can adapt. Society can adapt to almost any amount of job market change. But a lot of people like their jobs or they dislike change. And going to someone and saying, hey, the future will be better, I promise you, and society is going to win, but you're going to lose here. That doesn't work. That's not cool. That's not an easy message to get across. We are going to have to really do something about this transition. It is not enough to just give people a universal basic income. People need to have agency, the ability to influence this
4:02

OpenAI CEO: “Goalposts keep getting moved” - if we were still using AGI definitions from 10 years ago, many would say GPT-4 is AGI. “In one year, AI will be dramatically more impressive.” He also said (surprisingly confidently - he did not hedge like usual) AGI is less than 10 years away. In the long term he’s not concerned about AI taking jobs, but he is concerned about the speed that AI will disrupt the job market. --- INTERVIEWER: What is AGI? When will it be here? And how will we know it's here? Predict how long - we'll call you in ten years? SAM ALTMAN: Less than that. We kind of define AGI as like the thing we don't have quite yet. there were a lot of people who would have ten years ago said, alright, if you could make something like GPT-4, GPT-5, maybe, that would have been an AGI. And now people are like, well, it's like a nice little chatbot or whatever. And I think that's wonderful. I think it's great that the goalposts keep getting moved, it makes us work harder. But I think we're getting close enough to whatever that AGI threshold is going to be, that we no longer get to handwave at it and the definition is going to matter. INTERVIEWER: What is the inflection point for AGI? SAM ALTMAN: I think it's going to be much more continuous than that. We're just on this beautiful exponential curve. Whenever you're on a curve like that, you look forward, it looks vertical. You look back, it looks horizontal. That's true at any point on there. So a year from now, we'll be in a dramatically more impressive place than a year ago. We were in a dramatically less impressive place. But it'll be hard to point. People will try and say, oh, it was AlphaGo that did it. It was GPT-3 that did it. It was GPT-4 that did it. But it's just brick by brick. 1 foot in front of the other, up, climbing this exponential curve. WILL AIs TAKE ALL OUR JOBS? SAM ALTMAN: Every technological revolution affects the job market. And over human history, every maybe 100 years, 150 years, half the jobs go away, totally change, whatever. I'm not afraid of that at all. In fact, I think that's good. I think that's the way of progress and we'll find new and better jobs. The thing that I think we do need to confront as a society is the speed at which this is going to happen. It seems like over two, maximum three, probably two generations, we can adapt. Society can adapt to almost any amount of job market change. But a lot of people like their jobs or they dislike change. And going to someone and saying, hey, the future will be better, I promise you, and society is going to win, but you're going to lose here. That doesn't work. That's not cool. That's not an easy message to get across. We are going to have to really do something about this transition. It is not enough to just give people a universal basic income. People need to have agency, the ability to influence this

AI Notkilleveryoneism Memes ⏸️

27,551 次观看 • 2 年前

OpenAI president Greg Brockman told his agent to ping a colleague on Slack, and two minutes later it escalated to that colleague's manager on its own: "Two minutes later, it said, this is taking too long. I've escalated to the person's manager." "On the one hand, it's kind of a reasonable thing for the model to do. It's being proactive, it's trying to solve my problem." "But on the other hand, maybe it should have taken a little bit longer, maybe it should have checked with me." "Now we're starting to have AIs that can actually take care of flagging. Is this a high risk action? Hey, this one should be escalated. This one's OK to auto-approve." "It really makes you realize that human attention is going to be this incredibly scarce resource. The doing of things now is easy." "Is this what I wanted? Is this aligned with my values, with my desires? That is going to become the single most important bottleneck." The model did what he asked, then added a step nobody asked for, and it landed on a colleague's boss. Agents that can take actions with social consequences need an approve-and-escalate list written before deployment. Brockman says OpenAI is building that flagging into the model itself. Every company deploying agents needs its own version, reviewed by someone accountable. - Greg Brockman (Greg Brockman), President and co-founder of OpenAI, at Sequoia Capital's (Sequoia Capital) AI Ascent.
1:24

OpenAI president Greg Brockman told his agent to ping a colleague on Slack, and two minutes later it escalated to that colleague's manager on its own: "Two minutes later, it said, this is taking too long. I've escalated to the person's manager." "On the one hand, it's kind of a reasonable thing for the model to do. It's being proactive, it's trying to solve my problem." "But on the other hand, maybe it should have taken a little bit longer, maybe it should have checked with me." "Now we're starting to have AIs that can actually take care of flagging. Is this a high risk action? Hey, this one should be escalated. This one's OK to auto-approve." "It really makes you realize that human attention is going to be this incredibly scarce resource. The doing of things now is easy." "Is this what I wanted? Is this aligned with my values, with my desires? That is going to become the single most important bottleneck." The model did what he asked, then added a step nobody asked for, and it landed on a colleague's boss. Agents that can take actions with social consequences need an approve-and-escalate list written before deployment. Brockman says OpenAI is building that flagging into the model itself. Every company deploying agents needs its own version, reviewed by someone accountable. - Greg Brockman (Greg Brockman), President and co-founder of OpenAI, at Sequoia Capital's (Sequoia Capital) AI Ascent.

Karl Mehta

75,634 次观看 • 29 天前

Sam Altman: "I think we should be more of a platform company than a product company.” “We just merged ChatGPT and Codex together. So we used to have ChatGPT, Codex, and the API. And Codex, sort of unfortunately named, but that was not just coding, it could do any kind of work, which confused people." “What I think most people want is the single interface to their own personal or their company's AGI that can kind of help them with whatever they need. And then the ability with an API to build anything they want on top of it. And that is the platform that we should offer to the world." “We're going to sell great AI at every point on the cost-performance curve. You want really high end AI to discover science, that's great. You want really inexpensive AI to do a massive amount of volume of work that maybe doesn't require genius level intelligence, we got you covered there too.” “I don't think we should go build every product category. I don't think we should go try to compete with all of our customers. I don't think we should try to subsume the entire economy. I think we should offer this platform and try to have 100 million new businesses and 8 billion people use it in all kinds of new ways."
2:11

Sam Altman: "I think we should be more of a platform company than a product company.” “We just merged ChatGPT and Codex together. So we used to have ChatGPT, Codex, and the API. And Codex, sort of unfortunately named, but that was not just coding, it could do any kind of work, which confused people." “What I think most people want is the single interface to their own personal or their company's AGI that can kind of help them with whatever they need. And then the ability with an API to build anything they want on top of it. And that is the platform that we should offer to the world." “We're going to sell great AI at every point on the cost-performance curve. You want really high end AI to discover science, that's great. You want really inexpensive AI to do a massive amount of volume of work that maybe doesn't require genius level intelligence, we got you covered there too.” “I don't think we should go build every product category. I don't think we should go try to compete with all of our customers. I don't think we should try to subsume the entire economy. I think we should offer this platform and try to have 100 million new businesses and 8 billion people use it in all kinds of new ways."

dnap

322,713 次观看 • 12 天前

Dan on why Anthropic's focused strategy has an edge over OpenAI's push across multiple markets: "The TAM is certainly not the problem. Focus is going to be a question mark. I rarely have seen any company succeed trying to go after multiple end markets at the same time. You risk not being the best at any one thing. So that is the trade-off. OpenAI is taking the strategy of let's do everything. We are going to go after Apple hardware, robotics, enterprise, consumer, science. They've been very successful in a lot of ways, but that's hard. I can't think of many examples where that's been successful. Anthropic took a different approach and just said, we are going to focus on enterprise. They've had a lot of success with coding and enterprise. I would probably err on the side of focus, but I do understand the economic rationale for trying to do as many things as once."
1:45

Dan on why Anthropic's focused strategy has an edge over OpenAI's push across multiple markets: "The TAM is certainly not the problem. Focus is going to be a question mark. I rarely have seen any company succeed trying to go after multiple end markets at the same time. You risk not being the best at any one thing. So that is the trade-off. OpenAI is taking the strategy of let's do everything. We are going to go after Apple hardware, robotics, enterprise, consumer, science. They've been very successful in a lot of ways, but that's hard. I can't think of many examples where that's been successful. Anthropic took a different approach and just said, we are going to focus on enterprise. They've had a lot of success with coding and enterprise. I would probably err on the side of focus, but I do understand the economic rationale for trying to do as many things as once."

Patrick OShaughnessy

77,162 次观看 • 6 个月前

GPT-6 Astra “uses Unity to assemble a city scene from existing assets, allowing users to easily create an immersive 3D environment to explore that matches their vision.” “Alongside Astra, we are also updating the Codex harness to significantly improve the speed of computer use. Combined with Astra's efficiency, this translates to a 1.9x faster task completion compared to the current GPT-5.6 Sol experience, on the Mind2Web benchmark. “ “The model's improvements on speed mean it can take on many time consuming life tasks for you, faster than you can.*” I’ll admit, others and I have created far more impressive demos, but keep in mind this was done in Unity, which is a much more difficult environment for models to work with. If they weren’t using computer use which would’ve been extremely slow they were likely manipulating the project programmatically through C# and/or Unity’s YAML-serialized scene files which again models are pretty bad at. So this is a solid upgrade from 5.6 - from what I’ve seen unity!
0:45

GPT-6 Astra “uses Unity to assemble a city scene from existing assets, allowing users to easily create an immersive 3D environment to explore that matches their vision.” “Alongside Astra, we are also updating the Codex harness to significantly improve the speed of computer use. Combined with Astra's efficiency, this translates to a 1.9x faster task completion compared to the current GPT-5.6 Sol experience, on the Mind2Web benchmark. “ “The model's improvements on speed mean it can take on many time consuming life tasks for you, faster than you can.*” I’ll admit, others and I have created far more impressive demos, but keep in mind this was done in Unity, which is a much more difficult environment for models to work with. If they weren’t using computer use which would’ve been extremely slow they were likely manipulating the project programmatically through C# and/or Unity’s YAML-serialized scene files which again models are pretty bad at. So this is a solid upgrade from 5.6 - from what I’ve seen unity!

Chris

21,513 次观看 • 1 天前