cover of episode #187 - Anthropic Agents, Mochi1, 3.4B data center, OpenAI's FAST image gen

#187 - Anthropic Agents, Mochi1, 3.4B data center, OpenAI's FAST image gen

2024/10/28
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Andrey Kurenkov
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Jeremie Harris
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Andrey Kurenkov：Anthropic发布了Claude 3.5，一个可以自主使用电脑的AI模型，能够通过视觉识别控制计算机，执行点击、移动光标和文本输入等操作。该模型在各种基准测试中表现出色，尤其是在代理能力方面。虽然命名方式与之前的版本相似，但其底层模型和功能已发生根本性变化，更接近于一个代理模型。 Jeremie Harris：Anthropic的策略是通过发布与前沿模型性能相当或略逊的模型来保持竞争力，同时避免加剧AI能力竞赛。Claude 3.5的发布可能表明Anthropic正在逐渐偏离其最初的策略，这与当前的融资环境和与OpenAI的竞争有关。 Jeremie Harris：Genmo发布了Mochi 1，一个开源的视频生成模型，与Runway、Kling等竞争。Mochi 1的开源性质使其具有很大的发展潜力，但其高昂的运行成本限制了其使用范围。 Andrey Kurenkov：Canva推出了一个新的文本到图像生成器Dream Lab，以及Canvas Beta，为Ideogram用户带来了Remix、Extend和Magic Fill等功能。这些功能的整合体现了AI技术在各种软件工具中的广泛应用。

Deep Dive

Chapters
Anthropic's Claude 3.5 "Sonnet" introduces computer use, enabling AI to interact with computers like humans. This agent-like model raises questions about the evolving competitive landscape and the balance between innovation and responsible scaling.
  • Claude 3.5 'Sonnet' can control a computer by looking at the screen, moving the cursor, clicking, and typing.
  • This feature, similar to Adept AI's earlier attempts, marks a significant advancement in AI capabilities.
  • Anthropic's move may be driven by the pressure to compete with OpenAI's funding and scaling capabilities.
  • The model's performance shows significant improvements, particularly in agentic capabilities and software engineering.
  • Safety remains a concern, with Anthropic collaborating with safety institutes and implementing restrictions on social media and election-related activities.

Shownotes Transcript

Our 187th episode with a summary and discussion of last week's big AI news, now with Jeremie co-hosting once again!

With hosts Andrey Kurenkov (https://twitter.com/andrey_kurenkov) and Jeremie Harris (https://twitter.com/jeremiecharris)

Read out our text newsletter and comment on the podcast at https://lastweekin.ai/).

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Email us your questions and feedback at [email protected] )and/or [email protected])

Timestamps + Links:

(00:00:00) Intro / Banter

(00:03:07) Response to listener comments / corrections

(00:05:13) Sponsor Read)

Tools & Apps (00:06:22) Anthropic’s latest AI update can use a computer on its own)

(00:18:09) AI video startup Genmo launches Mochi 1, an open source rival to Runway, Kling, and others)

(00:20:37) Canva has a shiny new text-to-image generator)

(00:23:35) Canvas Beta brings Remix, Extend, and Magic Fill to Ideogram users)

(00:26:16) StabilityAI releases Stable Diffusion 3.5 )

(00:28:27) Bringing Agentic Workflows into Inflection for Enterprise)

Applications & Business (00:32:35) Crusoe’s $3.4B joint venture to build AI data center campus with up to 100,000 GPUs)

(00:39:08) Anthropic reportedly in early talks to raise new funding on up to $40B valuation)

(00:45:47) Longtime policy researcher Miles Brundage leaves OpenAI)

(00:49:53) NVIDIA’s Blackwell GB200 AI Servers Ready For Mass Deployment In December)

(00:52:41) Foxconn building Nvidia superchip facility in Mexico, executives say)

(00:55:27) xAI, Elon Musk’s AI startup, launches an API)

Projects & Open Source (00:58:32) INTELLECT-1: The First Decentralized 10-Billion-Parameter AI Model Training)

(01:06:34) Meta FAIR Releases Eight New AI Research Artifacts—Models, Datasets, and Tools to Inspire the AI Community)

(01:10:02) Google DeepMind is making its AI text watermark open source)

Research & Advancements (01:13:21) OpenAI researchers develop new model that speeds up media generation by 50X)

(01:17:54) How much AI compute is out there, and who owns it?)

(01:25:28) Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning)

(01:33:30) Inference Scaling for Long-Context Retrieval Augmented Generation)

Policy & Safety (01:41:50) Announcing our updated Responsible Scaling Policy)

(01:48:52) Anthropic is testing AI’s capacity for sabotage)

(01:56:30) OpenAI asked US to approve energy-guzzling 5GW data centers, report says)

(02:00:05) US Probes TSMC’s Dealings with Huawei)

(02:03:03) TikTok owner ByteDance taps TSMC to make its own AI GPUs to stop relying on Nvidia — the company has reportedly spent over $2 billion on Nvidia AI GPUs)

(02:06:37) Outro