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- AI Voice Hits Inflection Point With Sesame
AI Voice Hits Inflection Point With Sesame
PLUS: Alibaba’s Tiny DeepSeek R1 Rival, Grok 3 vs. Claude 3.7 vs. GPT-4.5 Showdown, and More
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1) Things Are Getting Better
New open-source AI model QwQ-32B from Chinese company Alibaba, is around DeepSeek-R1 level, but 20x smaller. People are already running this model locally on MacBook Pros. Models keep getting not only smarter, but also more efficient and cheaper to run. You can try it out right now on Groq(not to be confused with Grok).
Today, we release QwQ-32B, our new reasoning model with only 32 billion parameters that rivals cutting-edge reasoning model, e.g., DeepSeek-R1.
Blog: qwenlm.github.io/blog/qwq-32b
HF: huggingface.co/Qwen/QwQ-32B
ModelScope: modelscope.cn/models/Qwen/Qw…
Demo: huggingface.co/spaces/Qwen/Qw…
Qwen Chat:… x.com/i/web/status/1…— Qwen (@Alibaba_Qwen)
7:00 PM • Mar 5, 2025
2) AI Voice Hits Inflection Point With Sesame
This week, Sesame—a startup backed by A16Z and Spark Capital—dropped an AI voice demo that’s incredible. I'm not exaggerating: we've reached an inflection point.
Stop everything and try it yourself. You won't fully grasp how transformative this moment is otherwise. ChatGPT’s voice mode is helpful but still robotic (maybe intentionally, I think they didn’t want to freak people out). Grok 3 is wild and funny but you can still tell it’s not human.
Sesame? It’s something entirely new. It’s like being able to talk to Samantha from the movie Her.
For the first 10-20 seconds of chatting with Maya (the female voice), I genuinely felt I was speaking with a woman with an attractive voice —complete with realistic breathing and tonal shifts that mirrored mine. It’s uncanny—almost awkward—how real that connection felt. It made me have some real questions about it because, I could see certain kinds of people getting hooked to this feeling of having an emotional connection with an AI.
Sesame is not perfect yet—push beyond a minute, and context can slip—but the realism is already jaw-dropping. Now, imagine combining this tech with robots launching later this year (2 tweets with examples):
Introducing NEO Gamma.
Another step closer to home.— 1X (@1x_tech)
7:00 PM • Feb 21, 2025
Introducing Helix, our newest AI that thinks like a human
To bring robots into homes, we need a step change in capabilities
Helix can generalize to any household item 🧵
— Brett Adcock (@adcock_brett)
2:11 PM • Feb 20, 2025
We’re going to have machines interacting naturally with us every day. That’s going to be in some people’s houses this year(probably mostly rich tech CEOs). And will likely be common place within 3-5 years in most people’s houses.
I’ve already had a conversation with my wife about what kind of robots she’s okay with us having. I have a feeling human and AI relationships are about to get really weird.
By the way, Matt Wolfe and I tested Sesame live on our latest episode of The Next Wave, laughed so much we cried as Grok 3 went full Andrew Dice Clay, and unpacked what the robotics revolution really means. Subscribe now to catch it when it drops next week!
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3) Grok 3 vs Claude 3.7 vs GPT-4.5: Which Update is The Best?
In this week’s episode of The Next Wave, Matt Wolfe and I spoke with our friend Matthew Berman about the latest AI models and what they mean for the future of AI. Check it out!
Also, please subscribe to The Next Wave on Apple, Spotify, and YouTube.
4) GPT 4.5 Is Better Than You Think
GPT-4.5 landed last week for ChatGPT Pro users (and today for Plus users), but the internet mostly shrugged—too slow, too pricey, not a game-changer.
I disagree.
Having used it extensively, it's the best writing model I've tested yet. GPT-4.5 seems to get nuance and understand things at a deeper level than previous models, with in my experience the closest to it right now being Grok 3.
Benchmarks back this up, with GPT-4.5 holding its own against specialized reasoning models despite being "just" a language model juiced up with more training data. (See chart below.)
So it looks like the First Scaling Law (the bigger the model the “smarter”) still holds- order of magnitude increases in compute lead to linear improvements in ability
GPT-3.5 Turbo scored 30% on GPQA, GPT-4 Turbo got 47%, now GPT-4.5 got 70%
And Reasoners add a new Scaling Law
— Ethan Mollick (@emollick)
1:23 AM • Mar 6, 2025
Marc Chen from OpenAI recently confirmed this aligns with their expectations: there's no wall in sight for scaling performance through more data.
Now, imagine this: GPT-5 by June, which will probably be GPT 4.5 with o3+ reasoning on top of it, as well as advanced voice mode. Meanwhile, Grok is getting better every day, and constantly is vying with OpenAI’s models for the #1 spot.
We're potentially looking at LLMs getting 5-10x smarter within this year alone.
We’re not just accelerating—we’re warping into a post-AGI future. The ride’s about to get wild, so buckle up.
5) Things I’m Learning From
🚨Our Generative AI Lab at Wharton is releasing its first Prompt Engineering Report, empirically testing prompting approaches. This time we find:
1) Prompting “tricks” like saying “please” do not help consistently or predictably
2) How you measure against benchmarks matters a lot— Ethan Mollick (@emollick)
10:08 PM • Mar 4, 2025
That’s all for today. Please consider sharing the newsletter with your friends if you think they’d enjoy it. 🙏
Please give me feedback on Twitter. I am still figuring out the best format for this newsletter. Which part did you like? Dislike? Do you have other suggestions? Please let me know—just tweet @NathanLands.
-Nathan
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