正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Making AI learning AGI-capable: continual learning, transfer learning, lifelong learning.

Ben Goertzel

77,174 subscribers

17,309 次观看 • 4 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Lifelong learning needs to involve lifelong spiritual learning, not only intellectual or training in a trade. It’s lifelong learning of the gospel of Jesus Christ.

Lifelong learning needs to involve lifelong spiritual learning, not only intellectual or training in a trade. It’s lifelong learning of the gospel of Jesus Christ.

D. Todd Christofferson

15,067 次观看 • 1 年前

capability != learning new benchtalks with Parth Asawa on continual learning, where we discuss teaching models to learn from experience, measuring learning ability, the bet on parametric models, and more 01:06 What is continual learning? 04:10 Why capability and learning are different 06:13 Why build a benchmark? 08:07 Continual Learning Bench launch and reception 09:13 Anthropic's Fable release and Continual Learning Bench 11:02 How to design tasks for continual learning 18:41 The gain metric 24:01 What good looks like on the leaderboard 29:13 Failure modes: why models can't update their beliefs 31:12 Parametric systems and future architectures 34:30 Open science and AI safety 45:42 Lightning round 49:08 How to contribute to Continual Learning Bench

capability != learning new benchtalks with Parth Asawa on continual learning, where we discuss teaching models to learn from experience, measuring learning ability, the bet on parametric models, and more 01:06 What is continual learning? 04:10 Why capability and learning are different 06:13 Why build a benchmark? 08:07 Continual Learning Bench launch and reception 09:13 Anthropic's Fable release and Continual Learning Bench 11:02 How to design tasks for continual learning 18:41 The gain metric 24:01 What good looks like on the leaderboard 29:13 Failure modes: why models can't update their beliefs 31:12 Parametric systems and future architectures 34:30 Open science and AI safety 45:42 Lightning round 49:08 How to contribute to Continual Learning Bench

vincent sunn chen

41,444 次观看 • 2 个月前

“Learning will change in a revolutionary way. Instead of learning for life, we will have to transfer to a system which is dictated by lifelong learning.” Get my latest book ➡️🔗 #IntelligentAge

“Learning will change in a revolutionary way. Instead of learning for life, we will have to transfer to a system which is dictated by lifelong learning.” Get my latest book ➡️🔗 #IntelligentAge

Klaus Schwab

24,623 次观看 • 4 个月前

AGI *will* arrive in 2026. The final missing piece is Continual Learning. The following AI Leaders have stated they believe Continual Learning will be solved this year: > Shane Legg > Dario Amodei > Sholto Douglas Rumor is GDM has it but needs guradrails. Prepare yourself.

AGI will arrive in 2026. The final missing piece is Continual Learning. The following AI Leaders have stated they believe Continual Learning will be solved this year: > Shane Legg > Dario Amodei > Sholto Douglas Rumor is GDM has it but needs guradrails. Prepare yourself.

Dan McAteer

27,228 次观看 • 8 个月前

Richard Sutton argues that AI must move beyond human-generated static data into the “Era of Experience,” where agents learn through continuous interaction with the world. This will require building upon RL with better algorithms capable of continual learning and meta-learning.

Richard Sutton argues that AI must move beyond human-generated static data into the “Era of Experience,” where agents learn through continuous interaction with the world. This will require building upon RL with better algorithms capable of continual learning and meta-learning.

The Humanoid Hub

31,493 次观看 • 1 年前

What if AI isn’t learning to think… but intelligence is learning to use AI?

What if AI isn’t learning to think… but intelligence is learning to use AI?

Morissa Schwartz 📚 (Dr. Rissy)

102,981 次观看 • 1 年前

Continual Learning in 2026. And AGI with it? In July, Dario said he believes Continual Learning will turn out to be not as difficult as it seems. Sholto Douglas, Anthropic and former Deepmind researcher, predicted Continual Learning gets solved in a satisfying way in 2026. Sholto said that last week. Considering how capable AI models have become in 2025, it is unwise to dismiss this as fundraising or hype. It is much wiser to assume AGI is coming. That it will change the world. And that you can benefit from it... ...than it is to assume the opposite. "Not enough people are ready for AI to not be a bubble." - roon Choose wisely my friends.

Continual Learning in 2026. And AGI with it? In July, Dario said he believes Continual Learning will turn out to be not as difficult as it seems. Sholto Douglas, Anthropic and former Deepmind researcher, predicted Continual Learning gets solved in a satisfying way in 2026. Sholto said that last week. Considering how capable AI models have become in 2025, it is unwise to dismiss this as fundraising or hype. It is much wiser to assume AGI is coming. That it will change the world. And that you can benefit from it... ...than it is to assume the opposite. "Not enough people are ready for AI to not be a bubble." - roon Choose wisely my friends.

Dan McAteer

69,496 次观看 • 9 个月前

Demis on the breakthroughs needed for AGI. It is not many. Predict Google DeepMind has Continual Learning before 2026 is finished, and likely other labs too.

Demis on the breakthroughs needed for AGI. It is not many. Predict Google DeepMind has Continual Learning before 2026 is finished, and likely other labs too.

Dan McAteer

38,011 次观看 • 8 个月前

“The other great secret is that we’re good at lifelong learning. If you keep learning all the time, you have a huge advantage.” — Charlie Munger

“The other great secret is that we’re good at lifelong learning. If you keep learning all the time, you have a huge advantage.” — Charlie Munger

Investment Wisdom

21,261 次观看 • 1 个月前

Agents need continual learning. At supermemory, we are doubling down and pushing the frontier for memory and in-context learning, for every agent and use case. Introducing 𝚕𝚎𝚊𝚛𝚗𝚎𝚛-𝟷

Agents need continual learning. At supermemory, we are doubling down and pushing the frontier for memory and in-context learning, for every agent and use case. Introducing 𝚕𝚎𝚊𝚛𝚗𝚎𝚛-𝟷

supermemory

1,853,062 次观看 • 14 天前

Its nice to see the recent excitement around Q-learning! Here's a clip from a video all about Deep Reinforcement Learning, including Deep Q Learning #machinelearning #ai

Its nice to see the recent excitement around Q-learning! Here's a clip from a video all about Deep Reinforcement Learning, including Deep Q Learning #machinelearning #ai

Steven Brunton

165,093 次观看 • 2 年前

Redwood AI | Mobility Reinforcement Learning

Redwood AI | Mobility Reinforcement Learning

1X

1,324,520 次观看 • 1 年前

Learning a Playbook is Learning a New Language

Learning a Playbook is Learning a New Language

Firstdown_XO’s

66,493 次观看 • 2 年前

Difference between Machine learning vs Deep learning 💨🫡

Difference between Machine learning vs Deep learning 💨🫡

F.O.L.A

22,519 次观看 • 9 个月前

AI is learning 🤦‍♂️🤭🫵🏾

AI is learning 🤦‍♂️🤭🫵🏾

𝕺𝖒𝖔𝕺𝖌𝖆𝕿𝖊𝖆𝖈𝖍𝖊𝖗

231,043 次观看 • 8 个月前

8 Predictions for the Era of Continual Learning. Also up on YouTube, pod feed, and Substack.

8 Predictions for the Era of Continual Learning. Also up on YouTube, pod feed, and Substack.

Dwarkesh Patel

224,616 次观看 • 1 个月前