Загрузка видео...

Не удалось загрузить видео

На главную

Sam Altman says Codex isn't far from week-long tasks and is already doing day-long runs The jump in task length feels disorientingly fast Reaching week-long tasks will require smarter models, longer context, and better memory

haider1's profile picture

Haider.

67,174 subscribers

69,373 просмотров • 9 месяцев назад •via X (Twitter)

Наука и технологииНовости и политикаОбразование
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Absolutely insane: "I don't think Codex is that far away from a week of work." It can already do "day long tasks now." Next steps: "Smarter models, long context, better memory."
0:55

Absolutely insane: "I don't think Codex is that far away from a week of work." It can already do "day long tasks now." Next steps: "Smarter models, long context, better memory."

Chubby♨️

28,413 просмотров • 9 месяцев назад

Sam Altman says the next big thrust is making models handle much longer tasks We have already moved from models handling 5-second coding tasks with GPT-3.5 to 5-hour tasks with GPT-5 The goal now is to integrate enterprise context so AI can handle tasks that require months or years
1:33

Sam Altman says the next big thrust is making models handle much longer tasks We have already moved from models handling 5-second coding tasks with GPT-3.5 to 5-hour tasks with GPT-5 The goal now is to integrate enterprise context so AI can handle tasks that require months or years

Haider.

122,717 просмотров • 7 месяцев назад

Sam Altman says we've crossed the threshold into major economic utility The models now surprise people by doing real work at a rapid speed "soon models will handle multi-day tasks, then multi-week" Then the paradigm shifts: AI systems working 24/7 with full context, trusted like a senior employee
1:32

Sam Altman says we've crossed the threshold into major economic utility The models now surprise people by doing real work at a rapid speed "soon models will handle multi-day tasks, then multi-week" Then the paradigm shifts: AI systems working 24/7 with full context, trusted like a senior employee

Haider.

11,144 просмотров • 4 месяцев назад

Sam Altman: What starts as multi-hour tasks will soon become multi-day, then multi-week. Expect AI to proactively integrate into your life and work, acting with full context like a trusted senior employee. Exponentials kicking in.
0:33

Sam Altman: What starts as multi-hour tasks will soon become multi-day, then multi-week. Expect AI to proactively integrate into your life and work, acting with full context like a trusted senior employee. Exponentials kicking in.

Chubby♨️

16,133 просмотров • 4 месяцев назад

Auto-review is a new mode that lets Codex work longer with fewer approvals and safer execution. It helps Codex keep moving through tests, builds, and more, including during long tasks and automations, while a separate agent checks higher-risk steps in context before they run.
0:25

Auto-review is a new mode that lets Codex work longer with fewer approvals and safer execution. It helps Codex keep moving through tests, builds, and more, including during long tasks and automations, while a separate agent checks higher-risk steps in context before they run.

OpenAI Developers

436,295 просмотров • 2 месяцев назад

Geoffrey Hinton says that in 2026, AI will gain the capability to replace many jobs Every 7 months, AI doubles the length of tasks it can handle. It went from 1-minute coding to hour-long projects Soon, it'll manage month-long software engineering tasks "then few people will be needed for SWE projects"
0:40

Geoffrey Hinton says that in 2026, AI will gain the capability to replace many jobs Every 7 months, AI doubles the length of tasks it can handle. It went from 1-minute coding to hour-long projects Soon, it'll manage month-long software engineering tasks "then few people will be needed for SWE projects"

Haider.

66,008 просмотров • 6 месяцев назад

Antigravity's computer use has also been massively upgraded with Gemini 3 Flash. It is both faster and better at doing long agentic tasks using the browser. Here's Antigravity doing deep research on the Pareto frontier of models and writing code to visualize the result.
1:12

Antigravity's computer use has also been massively upgraded with Gemini 3 Flash. It is both faster and better at doing long agentic tasks using the browser. Here's Antigravity doing deep research on the Pareto frontier of models and writing code to visualize the result.

Varun Mohan

156,937 просмотров • 6 месяцев назад

This whole week has been one long stress test of free speech rights in the US, and the test is far from over
0:47

This whole week has been one long stress test of free speech rights in the US, and the test is far from over

Brian Stelter

23,432 просмотров • 9 месяцев назад

GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows.
3:02

GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows.

OpenAI Developers

1,074,161 просмотров • 4 месяцев назад

Long-running agents blow up context fast. So we built our own memory agent. Using it feels very cool and useful Twin starts to know you better over time, resurfaces old context when it matters, and makes agents more efficient with every task. It’s live today. Try it out!
0:21

Long-running agents blow up context fast. So we built our own memory agent. Using it feels very cool and useful Twin starts to know you better over time, resurfaces old context when it matters, and makes agents more efficient with every task. It’s live today. Try it out!

Hugo Mercier

18,606 просмотров • 5 месяцев назад

AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)
0:59

AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)

Rohan Paul

36,646 просмотров • 4 месяцев назад

A few weeks ago, we shared our progress on articulated objects and long-horizon tasks. Here are two representative examples: - We've been steadily expanding our asset library to cover more articulated objects. Articulated objects have always been a challenging asset class to handle in simulation. Interacting with them requires robots to master atomic skills such as pushing, pulling, opening, and closing, and to understand part structure, interaction constraints, and how the object moves. - Long-horizon tasks can now be generated at scale. Long-horizon tasks are the other hard category: they require chaining multiple sub-goals in sequence. A failure early in the task can cascade and make the rest unrecoverable. Axis is scaling along three dimensions at once: data volume, data quality, and task difficulty.
1:07

A few weeks ago, we shared our progress on articulated objects and long-horizon tasks. Here are two representative examples: - We've been steadily expanding our asset library to cover more articulated objects. Articulated objects have always been a challenging asset class to handle in simulation. Interacting with them requires robots to master atomic skills such as pushing, pulling, opening, and closing, and to understand part structure, interaction constraints, and how the object moves. - Long-horizon tasks can now be generated at scale. Long-horizon tasks are the other hard category: they require chaining multiple sub-goals in sequence. A failure early in the task can cascade and make the rest unrecoverable. Axis is scaling along three dimensions at once: data volume, data quality, and task difficulty.

Axis Robotics

13,245 просмотров • 18 дней назад

Introducing Goal Mode in Kimi Work Goal lets your desktop agent run 24/7 until the task is done, built for long-horizon tasks and complex multi-step workflows.
0:22

Introducing Goal Mode in Kimi Work Goal lets your desktop agent run 24/7 until the task is done, built for long-horizon tasks and complex multi-step workflows.

Kimi.ai

203,761 просмотров • 27 дней назад

.Sam Altman says OpenAI will "obviously" have a version of Codex that "can do other knowledge-work tasks, and control your computer." "Of course we should have an ability to kick off new tasks from mobile, and we'll do that." "Really what you want is your single AI that's working for you on a unified backend. Access to all your data and ideas, and your stuff and your memory, and the ability to work across a lot of surfaces."
1:30

.Sam Altman says OpenAI will "obviously" have a version of Codex that "can do other knowledge-work tasks, and control your computer." "Of course we should have an ability to kick off new tasks from mobile, and we'll do that." "Really what you want is your single AI that's working for you on a unified backend. Access to all your data and ideas, and your stuff and your memory, and the ability to work across a lot of surfaces."

TBPN

108,839 просмотров • 4 месяцев назад

🧵 For HBO John Oliver Last Week Tonight to mock Payton McNabb is deplorable. Shame on you all. 1. The TBI has caused Payton severe long-term physical and mental health issues. Vision problems, concentration and memory loss, and difficulty performing tasks like she used to.
2:16

🧵 For HBO John Oliver Last Week Tonight to mock Payton McNabb is deplorable. Shame on you all. 1. The TBI has caused Payton severe long-term physical and mental health issues. Vision problems, concentration and memory loss, and difficulty performing tasks like she used to.

Victoria Coley

681,349 просмотров • 1 год назад

Sam Altman says the next 1-2 years will bring breathtaking progress in AI models Enterprises will hand off their hardest problems, like: "Go design me a better chip" or "Cure this disease" and models will autonomously reason, connect to tools, and deliver solutions. what once seemed far away now feels close
1:10

Sam Altman says the next 1-2 years will bring breathtaking progress in AI models Enterprises will hand off their hardest problems, like: "Go design me a better chip" or "Cure this disease" and models will autonomously reason, connect to tools, and deliver solutions. what once seemed far away now feels close

Haider.

66,288 просмотров • 1 год назад

Hy3, the new 295B MoE model from Tencent Hy, is now free in Nous Portal for the next two weeks! It is focused on cost-effective agentic use, and particularly strong on coding, tool-calling reliability, reasoning, and 256K long-context tasks.
0:24

Hy3, the new 295B MoE model from Tencent Hy, is now free in Nous Portal for the next two weeks! It is focused on cost-effective agentic use, and particularly strong on coding, tool-calling reliability, reasoning, and 256K long-context tasks.

Nous Research

274,488 просмотров • 8 дней назад

Sam Altman: "The Turing test sort of went whooshing by, which seemed long impossible ( it as this most important test of AI for a long time)", and after a week, everyone took it for granted. The next step: The next big step: AI that conducts science independently, and we are already seeing the first discoveries! Sam Altman's AGI moment, so to speak.
1:14

Sam Altman: "The Turing test sort of went whooshing by, which seemed long impossible ( it as this most important test of AI for a long time)", and after a week, everyone took it for granted. The next step: The next big step: AI that conducts science independently, and we are already seeing the first discoveries! Sam Altman's AGI moment, so to speak.

Chubby♨️

47,818 просмотров • 9 месяцев назад

Long video generation usually results in context increasing/scaling during chunk/frame-wise rollout. Considering context scaling may require context selection, we thus introduce the idea of MoE into long context modelling and propose Mixture of Contexts. All previous context/memory is considered while the chosen ones are computed in a data-driven manner. You can easily enjoy 7x compute savings.
1:44

Long video generation usually results in context increasing/scaling during chunk/frame-wise rollout. Considering context scaling may require context selection, we thus introduce the idea of MoE into long context modelling and propose Mixture of Contexts. All previous context/memory is considered while the chosen ones are computed in a data-driven manner. You can easily enjoy 7x compute savings.

Ceyuan Yang

22,141 просмотров • 10 месяцев назад

“Code is becoming management" Former Google CEO Eric Schmidt says programming has already changed more in 6 months than in the last 20 years. Top engineers are no longer writing most of the code themselves. They’re managing fleets of AI agents with objectives, verification, and long-running tasks. The leverage moved from typing to orchestration.
2:29

“Code is becoming management" Former Google CEO Eric Schmidt says programming has already changed more in 6 months than in the last 20 years. Top engineers are no longer writing most of the code themselves. They’re managing fleets of AI agents with objectives, verification, and long-running tasks. The leverage moved from typing to orchestration.

Jon Hernandez

16,675 просмотров • 2 месяцев назад