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VOICE ARCHIVE

Morgan Brown

@morganb
21 posts
2025-03-28
The Ghibli trend isn't just viral—it is a case study in how to launch AI features with real cultural and product impact. On March 25th, OpenAI launched image generation directly inside ChatGPT. No new tool. No separate workflow. Just upload a photo and prompt. From a user's [image]
2025-03-28 View on X
Reservoir Samples

OpenAI's model behavior lead says OpenAI is “shifting from blanket refusals in sensitive areas to a more precise approach focused on preventing real-world harm”

Navigating responsibility and user freedom, and how that influenced setting the Day 1 policy for 4o image generation in ChatGPT X: @altryne , @nexuist , @sterlingcrispin , @borismp...

The Ghibli trend isn't just viral—it is a case study in how to launch AI features with real cultural and product impact. On March 25th, OpenAI launched image generation directly inside ChatGPT. No new tool. No separate workflow. Just upload a photo and prompt. From a user's [image]
2025-03-28 View on X
TechCrunch

After OpenAI released ChatGPT's new image generator, social media has been flooded with AI memes in the style of Studio Ghibli, highlighting copyright concerns

here's 7 incredible examples of what it can do Kirk / Geek News Central Podcast : ChatGPT's New Image Model Sparks Additional Copyright Controversies #1810 Spencer Neale / The Amer...

2025-03-27
The Ghibli trend isn't just viral—it is a case study in how to launch AI features with real cultural and product impact. On March 25th, OpenAI launched image generation directly inside ChatGPT. No new tool. No separate workflow. Just upload a photo and prompt. From a user's [image]
2025-03-27 View on X
TechCrunch

After OpenAI released ChatGPT's new image generator, social media has been flooded with AI memes in the style of Studio Ghibli, highlighting copyright concerns

It's only been a day since ChatGPT's new AI image generator went live, and social media feeds are already flooded with AI-generated memes …

2025-03-05
I spent the weekend testing https://sesame.ai/, and it feels like a clear view into the future of AI. Built by ex-Oculus and Discord pros, it delivers lifelike, expressive speech that makes AI feel like a real presence. Here's why it signals what's coming next. (1/6)
2025-03-05 View on X
Ars Technica

Sesame's AI speech model demo has many users expressing astonishment at its realism, with some testers reporting an emotional connection to the voice assistant

In late 2013, the Spike Jonze film Her imagined a future where people would form emotional connections with AI voice assistants.

2025-01-27
8/ “But wait,” you might say, “there must be a catch!” That's the wild part - it's all open source. Anyone can check their work. The code is public. The technical papers explain everything. It's not magic, just incredibly clever engineering.
2025-01-27 View on X
VentureBeat

How DeepSeek outpaced OpenAI at a fraction of the cost: open source, pure reinforcement learning, no supervised fine-tuning, and building on DeepSeek-R1-Zero

DeepSeek R1's Monday release has sent shockwaves through the AI community, disrupting assumptions about what's required to achieve cutting-edge AI performance.

6/ Traditional models? All 1.8 trillion parameters active ALL THE TIME. DeepSeek? 671B total but only 37B active at once. It's like having a huge team but only calling in the experts you actually need for each task.
2025-01-27 View on X
VentureBeat

How DeepSeek outpaced OpenAI at a fraction of the cost: open source, pure reinforcement learning, no supervised fine-tuning, and building on DeepSeek-R1-Zero

DeepSeek R1's Monday release has sent shockwaves through the AI community, disrupting assumptions about what's required to achieve cutting-edge AI performance.

3/ How? They rethought everything from the ground up. Traditional AI is like writing every number with 32 decimal places. DeepSeek was like “what if we just used 8? It's still accurate enough!” Boom - 75% less memory needed.
2025-01-27 View on X
VentureBeat

How DeepSeek outpaced OpenAI at a fraction of the cost: open source, pure reinforcement learning, no supervised fine-tuning, and building on DeepSeek-R1-Zero

DeepSeek R1's Monday release has sent shockwaves through the AI community, disrupting assumptions about what's required to achieve cutting-edge AI performance.

1/ First, some context: Right now, training top AI models is INSANELY expensive. OpenAI, Anthropic, etc. spend $100M+ just on compute. They need massive data centers with thousands of $40K GPUs. It's like needing a whole power plant to run a factory.
2025-01-27 View on X
VentureBeat

How DeepSeek outpaced OpenAI at a fraction of the cost: open source, pure reinforcement learning, no supervised fine-tuning, and building on DeepSeek-R1-Zero

DeepSeek R1's Monday release has sent shockwaves through the AI community, disrupting assumptions about what's required to achieve cutting-edge AI performance.

7/ The results are mind-blowing: - Training cost: $100M → $5M - GPUs needed: 100,000 → 2,000 - API costs: 95% cheaper - Can run on gaming GPUs instead of data center hardware
2025-01-27 View on X
Bloomberg

DeepSeek's iOS app tops the App Store's Top Free Apps chart in the US, beating ChatGPT, stirring doubts in Silicon Valley about the strength of the US' AI lead

- App's lower-cost model upends premise for AI spending boom  — Stocks of chip gear makers ASML and Advantest plunge

2/ DeepSeek just showed up and said “LOL what if we did this for $5M instead?” And they didn't just talk - they actually DID it. Their models match or beat GPT-4 and Claude on many tasks. The AI world is (as my teenagers say) shook.
2025-01-27 View on X
Bloomberg

DeepSeek's iOS app tops the App Store's Top Free Apps chart in the US, beating ChatGPT, stirring doubts in Silicon Valley about the strength of the US' AI lead

- App's lower-cost model upends premise for AI spending boom  — Stocks of chip gear makers ASML and Advantest plunge

8/ “But wait,” you might say, “there must be a catch!” That's the wild part - it's all open source. Anyone can check their work. The code is public. The technical papers explain everything. It's not magic, just incredibly clever engineering.
2025-01-27 View on X
Bloomberg

DeepSeek's iOS app tops the App Store's Top Free Apps chart in the US, beating ChatGPT, stirring doubts in Silicon Valley about the strength of the US' AI lead

- App's lower-cost model upends premise for AI spending boom  — Stocks of chip gear makers ASML and Advantest plunge

6/ Traditional models? All 1.8 trillion parameters active ALL THE TIME. DeepSeek? 671B total but only 37B active at once. It's like having a huge team but only calling in the experts you actually need for each task.
2025-01-27 View on X
Bloomberg

DeepSeek's iOS app tops the App Store's Top Free Apps chart in the US, beating ChatGPT, stirring doubts in Silicon Valley about the strength of the US' AI lead

- App's lower-cost model upends premise for AI spending boom  — Stocks of chip gear makers ASML and Advantest plunge

3/ How? They rethought everything from the ground up. Traditional AI is like writing every number with 32 decimal places. DeepSeek was like “what if we just used 8? It's still accurate enough!” Boom - 75% less memory needed.
2025-01-27 View on X
Bloomberg

DeepSeek's iOS app tops the App Store's Top Free Apps chart in the US, beating ChatGPT, stirring doubts in Silicon Valley about the strength of the US' AI lead

- App's lower-cost model upends premise for AI spending boom  — Stocks of chip gear makers ASML and Advantest plunge

1/ First, some context: Right now, training top AI models is INSANELY expensive. OpenAI, Anthropic, etc. spend $100M+ just on compute. They need massive data centers with thousands of $40K GPUs. It's like needing a whole power plant to run a factory.
2025-01-27 View on X
Bloomberg

DeepSeek's iOS app tops the App Store's Top Free Apps chart in the US, beating ChatGPT, stirring doubts in Silicon Valley about the strength of the US' AI lead

- App's lower-cost model upends premise for AI spending boom  — Stocks of chip gear makers ASML and Advantest plunge

10/ For Nvidia, this is scary. Their entire business model is built on selling super expensive GPUs with 90% margins. If everyone can suddenly do AI with regular gaming GPUs... well, you see the problem.
2025-01-27 View on X
YouTubeTranscriptOptimizer

A bear case for Nvidia: hardware competitors, LLM code translation to avoid CUDA lock-in, DeepSeek's training and inference efficiency breakthroughs, and more

DeepSeek recently released models claiming up to 45x more efficient training and inference compared to today's best-known large language models (like OpenAI's o1). … Forums: Hacker...

13/ The implications are huge: - AI development becomes more accessible - Competition increases dramatically - The “moats” of big tech companies look more like puddles - Hardware requirements (and costs) plummet
2025-01-27 View on X
YouTubeTranscriptOptimizer

A bear case for Nvidia: hardware competitors, LLM code translation to avoid CUDA lock-in, DeepSeek's training and inference efficiency breakthroughs, and more

DeepSeek recently released models claiming up to 45x more efficient training and inference compared to today's best-known large language models (like OpenAI's o1). … Forums: Hacker...

🧵 Finally had a chance to dig into DeepSeek's r1... Let me break down why DeepSeek's AI innovations are blowing people's minds (and possibly threatening Nvidia's $2T market cap) in simple terms...
2025-01-27 View on X
Bloomberg

DeepSeek's iOS app tops the App Store's Top Free Apps chart in the US, beating ChatGPT, stirring doubts in Silicon Valley about the strength of the US' AI lead

- App's lower-cost model upends premise for AI spending boom  — Stocks of chip gear makers ASML and Advantest plunge

7/ The results are mind-blowing: - Training cost: $100M → $5M - GPUs needed: 100,000 → 2,000 - API costs: 95% cheaper - Can run on gaming GPUs instead of data center hardware
2025-01-27 View on X
VentureBeat

How DeepSeek outpaced OpenAI at a fraction of the cost: open source, pure reinforcement learning, no supervised fine-tuning, and building on DeepSeek-R1-Zero

DeepSeek R1's Monday release has sent shockwaves through the AI community, disrupting assumptions about what's required to achieve cutting-edge AI performance.

🧵 Finally had a chance to dig into DeepSeek's r1... Let me break down why DeepSeek's AI innovations are blowing people's minds (and possibly threatening Nvidia's $2T market cap) in simple terms...
2025-01-27 View on X
VentureBeat

How DeepSeek outpaced OpenAI at a fraction of the cost: open source, pure reinforcement learning, no supervised fine-tuning, and building on DeepSeek-R1-Zero

DeepSeek R1's Monday release has sent shockwaves through the AI community, disrupting assumptions about what's required to achieve cutting-edge AI performance.

2/ DeepSeek just showed up and said “LOL what if we did this for $5M instead?” And they didn't just talk - they actually DID it. Their models match or beat GPT-4 and Claude on many tasks. The AI world is (as my teenagers say) shook.
2025-01-27 View on X
VentureBeat

How DeepSeek outpaced OpenAI at a fraction of the cost: open source, pure reinforcement learning, no supervised fine-tuning, and building on DeepSeek-R1-Zero

DeepSeek R1's Monday release has sent shockwaves through the AI community, disrupting assumptions about what's required to achieve cutting-edge AI performance.