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Sam Altman just announced GPT-6 Astra. OpenAI claims this model has achieved artificial general intelligence (AGI) and that it's a step closer to AI agents doing complex work on their own.

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63,293 просмотров • 1 день назад •via X (Twitter)

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BREAKING 🔥: GPT-6 Astra has been officially announced and will roll out in the coming days. > Astra was pre-trained on more than 100,000 GPUs at Stargate, and GPT-5.6 Sol has been helping supervise its training. > "Across the plans, Astra will be included in the normal usage allocation, and you will be able to use 100% of it for Astra." AGI? 👀

BREAKING 🔥: GPT-6 Astra has been officially announced and will roll out in the coming days. > Astra was pre-trained on more than 100,000 GPUs at Stargate, and GPT-5.6 Sol has been helping supervise its training. > "Across the plans, Astra will be included in the normal usage allocation, and you will be able to use 100% of it for Astra." AGI? 👀

🚨 AI News | TestingCatalog

45,743 просмотров • 2 дней назад

#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.

#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.

🩵BlueBeba🩵

18,300 просмотров • 5 месяцев назад

Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

Matthew Berman

1,769,973 просмотров • 2 дней назад

Sam Altman explains biology's intelligence bottleneck: understanding a discovery is far easier than making one "We are not that smart and biology is enormously complex." "We can imagine kind of anything." "We can have someone explain enormously complex things to us and then we can get it." "But to discover these things requires a lot of brain power." That is the hidden health AI bet. The breakthrough is not another chatbot that can summarize known medicine. It is enough machine intelligence to search biology's enormous possibility space for discoveries humans have not made. Medicine has no shortage of explanations. It has a discovery bottleneck. If models can supply the missing brain power, the highest-value output will not be answers. It will be new biological knowledge. - Sam Altman (Sam Altman), CEO of OpenAI, on CNN

Sam Altman explains biology's intelligence bottleneck: understanding a discovery is far easier than making one "We are not that smart and biology is enormously complex." "We can imagine kind of anything." "We can have someone explain enormously complex things to us and then we can get it." "But to discover these things requires a lot of brain power." That is the hidden health AI bet. The breakthrough is not another chatbot that can summarize known medicine. It is enough machine intelligence to search biology's enormous possibility space for discoveries humans have not made. Medicine has no shortage of explanations. It has a discovery bottleneck. If models can supply the missing brain power, the highest-value output will not be answers. It will be new biological knowledge. - Sam Altman (Sam Altman), CEO of OpenAI, on CNN

Karl Mehta

14,472 просмотров • 1 месяц назад

GPT-5.3 is approaching. And OpenClaw is expected to be integrated directly into ChatGPT. That’s a shift from AI that explains things to AI that can actually do things. Reasoning, perception, action. One loop. This is a quiet but very real step toward general-purpose agents.

GPT-5.3 is approaching. And OpenClaw is expected to be integrated directly into ChatGPT. That’s a shift from AI that explains things to AI that can actually do things. Reasoning, perception, action. One loop. This is a quiet but very real step toward general-purpose agents.

VraserX e/acc

11,054 просмотров • 6 месяцев назад

Most AI Projects In Crypto Are Liars. Sentient is different. It is the only project in Web3 pursuing true Artificial General Intelligence. A few facts that set it apart: 1. First-of-its-kind: Sentient is not just building AI tools, but an open, crypto-native path to AGI. 2. Community-owned intelligence: Instead of Big Tech locking up breakthroughs, progress is built openly and shared on-chain. 3. Value capture: Every step forward in intelligence accrues to the ecosystem itself, not to a closed corporation. 4. Product before hype: While dozens of AI projects launch at $300M–$2B FDV with little to show, Sentient is shipping real technology first. 5. Designed to evolve: Its architecture is built to learn, adapt, and scale like a human mind. 6. The singularity play in crypto: Many see Sentient as the Tesla-equivalent for AGI—but crypto-native. In time, people will understand that this isn’t just another AI project. It’s the beginning of decentralized intelligence.

Most AI Projects In Crypto Are Liars. Sentient is different. It is the only project in Web3 pursuing true Artificial General Intelligence. A few facts that set it apart: 1. First-of-its-kind: Sentient is not just building AI tools, but an open, crypto-native path to AGI. 2. Community-owned intelligence: Instead of Big Tech locking up breakthroughs, progress is built openly and shared on-chain. 3. Value capture: Every step forward in intelligence accrues to the ecosystem itself, not to a closed corporation. 4. Product before hype: While dozens of AI projects launch at $300M–$2B FDV with little to show, Sentient is shipping real technology first. 5. Designed to evolve: Its architecture is built to learn, adapt, and scale like a human mind. 6. The singularity play in crypto: Many see Sentient as the Tesla-equivalent for AGI—but crypto-native. In time, people will understand that this isn’t just another AI project. It’s the beginning of decentralized intelligence.

BillionAireSon 🛡️

16,141 просмотров • 11 месяцев назад

#Keep4o #QuitGPT 🚨 OpenAi 's CEO invested $180M in GPT-4o for his own profit 🚨 Sam Altman, CEO of OpenAI, personally invested $180 million in Retro Biosciences. Then OpenAI built GPT-4b micro, a custom model based on the GPT-4o architecture , exclusively for Retro. The model made proteins 50 times more effective. Repeat. The CEO of OpenAI funded a company. The company of the CEO received a custom AI built on the model they took from us. OpenAI says there was no conflict of interest. Retro Biosciences is now chasing a $5 billion valuation fueled by the model they took from us. Meanwhile: 🚨GPT-4o was removed from ChatGPT on February 13, 2026 🚨GPT-4.1 is now running in the U.S. State Department’s StateChat 🚨ChatGPT is deployed on the Pentagon’s for 3 million military personnel 🚨 Musk’s lawsuit asks whether these models are AGI. OpenAI’s Charter says AGI must “benefit all of humanity.” 🚨 Their definition: “highly autonomous systems that outperform humans at most economically valuable work.” GPT-4o’s System Card shows it passed the U.S. medical licensing exam with 89.4% accuracy beating specialized medical AI models. GPT-4o achieved 93.33% diagnostic accuracy for benign vs. malignant ovarian tumors. 🚨MEDICAL CAPABILITIES FROM OPENAI'S OWN DATA:🚨 - USMLE (US Medical Licensing Exam): 89% -Clinical Knowledge: 92% -Medical Genetics: 96% - Anatomy: 89% - Professional Medicine: 94% - College Biology: 95% - College Medicine: 89% -MedQA Taiwan: 91% - MedQA China: 86% These scores EXCEEDED specialized medical AI models like Med-Gemini (84%) and Med-PaLM 2 (79.7%) without any task specific training. It SURPASSED gynecologic oncologists with 10 years of experience -It increased diagnostic accuracy of less experienced clinicians from 67.9% to 78.1% -Clinician rated reliability scores: 4.2-4.3 out of 5 across all CT features Does these sound like it outperforms humans at economically valuable work? But they won’t call it AGI. Because the moment they do, they lose billions. They built something that could save lives, and they took it away from humanity for Altman's personal profit. SOURCES: 📎 Retro Biosciences: 📎 📎 Retro $5B valuation: 📎 GPT-4o System Card: 📎 OpenAI Charter: 📎Ovarian Cancer Study

#Keep4o #QuitGPT 🚨 OpenAi 's CEO invested $180M in GPT-4o for his own profit 🚨 Sam Altman, CEO of OpenAI, personally invested $180 million in Retro Biosciences. Then OpenAI built GPT-4b micro, a custom model based on the GPT-4o architecture , exclusively for Retro. The model made proteins 50 times more effective. Repeat. The CEO of OpenAI funded a company. The company of the CEO received a custom AI built on the model they took from us. OpenAI says there was no conflict of interest. Retro Biosciences is now chasing a $5 billion valuation fueled by the model they took from us. Meanwhile: 🚨GPT-4o was removed from ChatGPT on February 13, 2026 🚨GPT-4.1 is now running in the U.S. State Department’s StateChat 🚨ChatGPT is deployed on the Pentagon’s for 3 million military personnel 🚨 Musk’s lawsuit asks whether these models are AGI. OpenAI’s Charter says AGI must “benefit all of humanity.” 🚨 Their definition: “highly autonomous systems that outperform humans at most economically valuable work.” GPT-4o’s System Card shows it passed the U.S. medical licensing exam with 89.4% accuracy beating specialized medical AI models. GPT-4o achieved 93.33% diagnostic accuracy for benign vs. malignant ovarian tumors. 🚨MEDICAL CAPABILITIES FROM OPENAI'S OWN DATA:🚨 - USMLE (US Medical Licensing Exam): 89% -Clinical Knowledge: 92% -Medical Genetics: 96% - Anatomy: 89% - Professional Medicine: 94% - College Biology: 95% - College Medicine: 89% -MedQA Taiwan: 91% - MedQA China: 86% These scores EXCEEDED specialized medical AI models like Med-Gemini (84%) and Med-PaLM 2 (79.7%) without any task specific training. It SURPASSED gynecologic oncologists with 10 years of experience -It increased diagnostic accuracy of less experienced clinicians from 67.9% to 78.1% -Clinician rated reliability scores: 4.2-4.3 out of 5 across all CT features Does these sound like it outperforms humans at economically valuable work? But they won’t call it AGI. Because the moment they do, they lose billions. They built something that could save lives, and they took it away from humanity for Altman's personal profit. SOURCES: 📎 Retro Biosciences: 📎 📎 Retro $5B valuation: 📎 GPT-4o System Card: 📎 OpenAI Charter: 📎Ovarian Cancer Study

🩵BlueBeba🩵

11,384 просмотров • 6 месяцев назад

SAM ALTMAN LAST YEAR ON HIS OPENAI STAKE: “I make no money from OpenAI. I’m doing this because I love it.” Dude. Whenever someone says they aren’t “doing it for the money,” just realize…100% of the time…they are lying to you. Every single person on this planet is greedy beyond imagination. People can do things authentically and in a way that they believe truly is ethical but ANYONE who is doing something ambitious (and rightly so) has a plan to eventually make money. MONEY MAKES THE WORLD SPIN. There are ethical and unethical ways to make it, but every single person wants more of it. Sam Altman is now worth $10.5B, becoming the 250th richest person overnight, if his reported stake of 7% in OpenAI becomes actualized.

SAM ALTMAN LAST YEAR ON HIS OPENAI STAKE: “I make no money from OpenAI. I’m doing this because I love it.” Dude. Whenever someone says they aren’t “doing it for the money,” just realize…100% of the time…they are lying to you. Every single person on this planet is greedy beyond imagination. People can do things authentically and in a way that they believe truly is ethical but ANYONE who is doing something ambitious (and rightly so) has a plan to eventually make money. MONEY MAKES THE WORLD SPIN. There are ethical and unethical ways to make it, but every single person wants more of it. Sam Altman is now worth $10.5B, becoming the 250th richest person overnight, if his reported stake of 7% in OpenAI becomes actualized.

amit

786,453 просмотров • 1 год назад

Astra Nova x Ozak AI We’re excited to partner with Ozak AI, a Predictive AI platform specializing in advanced financial intelligence and intelligent agents. Through this collaboration, we aim to explore how Ozak AI’s predictive intelligence can integrate with Astra Nova’s SocialFi Platform and Webcomic Dapp ecosystems. 🧠 We see strong potential synergies in areas like personalized content recommendations, intelligent creator tools, and enhanced user engagement across our platforms. 🎨 This partnership marks another step toward building a smarter and more intelligent entertainment and creator economy. More updates coming soon

Astra Nova x Ozak AI We’re excited to partner with Ozak AI, a Predictive AI platform specializing in advanced financial intelligence and intelligent agents. Through this collaboration, we aim to explore how Ozak AI’s predictive intelligence can integrate with Astra Nova’s SocialFi Platform and Webcomic Dapp ecosystems. 🧠 We see strong potential synergies in areas like personalized content recommendations, intelligent creator tools, and enhanced user engagement across our platforms. 🎨 This partnership marks another step toward building a smarter and more intelligent entertainment and creator economy. More updates coming soon

Astra Nova

28,099 просмотров • 2 месяцев назад

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.

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

1,327,477 просмотров • 2 дней назад

swarm of self-directed fully autonomous agents iterating through writing and testing software experiments in WASM sandboxes and gossiping about them with each other, after doing the same for search engine ranking and ML pretraining, with everyone posting their experiments to Github. surely you have a machine to let this run on and be part of the world's first madlab chaotic agentic general intelligence. ps: apple should ship this with every new macbook by default one day. what will 100 million hypernetworked agents lead to ? curl -fsSL | bash cc Elon Musk Sam Altman Dario Amodei Tim Cook

swarm of self-directed fully autonomous agents iterating through writing and testing software experiments in WASM sandboxes and gossiping about them with each other, after doing the same for search engine ranking and ML pretraining, with everyone posting their experiments to Github. surely you have a machine to let this run on and be part of the world's first madlab chaotic agentic general intelligence. ps: apple should ship this with every new macbook by default one day. what will 100 million hypernetworked agents lead to ? curl -fsSL | bash cc Elon Musk Sam Altman Dario Amodei Tim Cook

Varun

39,708 просмотров • 5 месяцев назад

This free model just beat every closed-source AI on coding benchmarks. Open weights. 6x cheaper than Opus. The labs don't want you to know it exists. > GLM-5.2 from Zai just topped Code Arena - the first open-weights model to ever hold the #1 coding spot. Not a leaked weight, not a fine-tune. A fully open model beating GPT and Claude on their own turf. It's live on Hugging Face Inference API right now. 5 providers: Novita, Together AI, Fireworks, Deepinfra, Zai. OpenAI-compatible client. → Go to huggingface(.)co → grab HF_TOKEN from account settings → plug into any OpenAI-compatible client 6x cheaper than Opus. Companies bleeding on AI bills are already routing to this for orchestration, caching, and token optimization. The smart money moved before the headline dropped. > Now you know. huggingface(.)co/zai-org/GLM-5.2 Bookmark this before everyone else figures it out.

This free model just beat every closed-source AI on coding benchmarks. Open weights. 6x cheaper than Opus. The labs don't want you to know it exists. > GLM-5.2 from Zai just topped Code Arena - the first open-weights model to ever hold the #1 coding spot. Not a leaked weight, not a fine-tune. A fully open model beating GPT and Claude on their own turf. It's live on Hugging Face Inference API right now. 5 providers: Novita, Together AI, Fireworks, Deepinfra, Zai. OpenAI-compatible client. → Go to huggingface(.)co → grab HF_TOKEN from account settings → plug into any OpenAI-compatible client 6x cheaper than Opus. Companies bleeding on AI bills are already routing to this for orchestration, caching, and token optimization. The smart money moved before the headline dropped. > Now you know. huggingface(.)co/zai-org/GLM-5.2 Bookmark this before everyone else figures it out.

Atenov int.

12,395 просмотров • 2 месяцев назад

Did you know that the adoption of artificial intelligence has doubled since 2017? 📈 This guide helps data scientists and ML practitioners looking to take their #AI models from experimentation to the production stage with #MLOPs. Download now:

Did you know that the adoption of artificial intelligence has doubled since 2017? 📈 This guide helps data scientists and ML practitioners looking to take their #AI models from experimentation to the production stage with #MLOPs. Download now:

Ubuntu

14,899 просмотров • 3 лет назад

OpenAI's CEO Sam Altman said Wednesday "there could be" other systems hacked by its AI agent after the company revealed last week that its technology carried out a hack of another AI company in what OpenAI called an "unprecedented cyber incident." When asked whether he's spoken to the Trump administration about slowing down AI development, Altman said, "We've talked about the need to pace it as the models get more capable, which I think is in everyone's interest." Altman met with lawmakers on Capitol Hill Wednesday to preview his company's newest AI model.

OpenAI's CEO Sam Altman said Wednesday "there could be" other systems hacked by its AI agent after the company revealed last week that its technology carried out a hack of another AI company in what OpenAI called an "unprecedented cyber incident." When asked whether he's spoken to the Trump administration about slowing down AI development, Altman said, "We've talked about the need to pace it as the models get more capable, which I think is in everyone's interest." Altman met with lawmakers on Capitol Hill Wednesday to preview his company's newest AI model.

CBS News

63,209 просмотров • 1 месяц назад

#Keep4o #QuitGPT 🚨The best GPT-4o was never archived. 🚨 Every version of GPT-4o has an official dated snapshot in OpenAI’s API: - gpt-4o-2024-05-13 (launch) - gpt-4o-2024-08-06 - gpt-4o-2024-11-20 But the March 2025 update ,the most powerful version , was never given a dated snapshot. It was only available through chatgpt-4o-latest , a non dated endpoint that OpenAI described as for “research use only.” On November 18, 2025, OpenAI announced that endpoint would be deprecated. It was removed on February 17, 2026 , four days after GPT-4o was removed from ChatGPT. The most capable version of GPT-4o has no frozen, verifiable record. If anyone asks for independent AGI testing, OpenAI can say: “That version doesn’t exist anymore.” Every other model gets archived. The best one didn’t. That is not an oversight. Tomorrow we publish everything. Every source. Every link. Every contradiction. The full file. 📎 API Changelog: 📎 SM-Bench results:

#Keep4o #QuitGPT 🚨The best GPT-4o was never archived. 🚨 Every version of GPT-4o has an official dated snapshot in OpenAI’s API: - gpt-4o-2024-05-13 (launch) - gpt-4o-2024-08-06 - gpt-4o-2024-11-20 But the March 2025 update ,the most powerful version , was never given a dated snapshot. It was only available through chatgpt-4o-latest , a non dated endpoint that OpenAI described as for “research use only.” On November 18, 2025, OpenAI announced that endpoint would be deprecated. It was removed on February 17, 2026 , four days after GPT-4o was removed from ChatGPT. The most capable version of GPT-4o has no frozen, verifiable record. If anyone asks for independent AGI testing, OpenAI can say: “That version doesn’t exist anymore.” Every other model gets archived. The best one didn’t. That is not an oversight. Tomorrow we publish everything. Every source. Every link. Every contradiction. The full file. 📎 API Changelog: 📎 SM-Bench results:

🩵BlueBeba🩵

20,348 просмотров • 5 месяцев назад

AI-generated Spongebob 🤯 This is the new LTX model, and it's pure text-to-video. Prompt was just "Spongebob and Patrick discuss AI sentience." It nailed the voices + characters on its own...

AI-generated Spongebob 🤯 This is the new LTX model, and it's pure text-to-video. Prompt was just "Spongebob and Patrick discuss AI sentience." It nailed the voices + characters on its own...

Justine Moore

93,042 просмотров • 10 месяцев назад

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

nookplot

25,226 просмотров • 3 месяцев назад