Today, we’re excited to introduce Miso One, the most emotive voice model in the world.
Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.
We’ve open-sourced the model weights, with API access coming soon.
Hear how Miso One sounds in the thread below.
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Book your Stadium Tour at Stamford Bridge now. ⭐️⭐Come and visit London’s Home of Trophies. 🏆
Book your Stadium Tour at Stamford Bridge now. ⭐️⭐Come and visit London’s Home of Trophies. 🏆
Book your Stadium Tour at Stamford Bridge now. ⭐️⭐Come and visit London’s Home of Trophies. 🏆
Book your Stadium Tour at Stamford Bridge now. ⭐️⭐️
Come and visit London’s Home of Trophies. 🏆
Book your Stadium Tour at Stamford Bridge now. ⭐️⭐Come and visit London’s Home of Trophies. 🏆
Book your Stadium Tour at Stamford Bridge now. ⭐️⭐Come and visit London’s Home of Trophies. 🏆
Book your Stadium Tour at Stamford Bridge now. ⭐️⭐Come and visit London’s Home of Trophies. 🏆
Book your Stadium Tour at Stamford Bridge now. ⭐️⭐Come and visit London’s Home of Trophies. 🏆
Book your Stadium Tour at Stamford Bridge now. ⭐️⭐Come and visit London’s Home of Trophies. 🏆
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We've raised $65 billion in Series H funding at a $965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia.
This investment will help us advance our research and expand our capacity to meet growing demand for Claude.
1/ We are sharing additional details regarding our investigation into unauthorized access to GitHub's internal repositories.
Yesterday we detected and contained a compromise of an employee device involving a poisoned VS Code extension. We removed the malicious extension version, isolated the endpoint, and began incident response immediately.
We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such as our customers’ enterprises, organizations, and repositories), we are closely monitoring our infrastructure for follow-on activity.
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
You can spend a year constantly scrolling through social media feeds; reading things that trigger you, keep you entertained etc OR
You spend same year reading (books, newsletters, podcasts, courses etc), questioning ideas, researching and sitting with the ideas that confuse you at first, forming your opinion.
In the first phase of the latter, you might not have instant knowledge ready when asked but after like 2-3 years, the compounding starts.
You see patterns others miss. You spot weak arguments immediately. You make decisions from understanding.
By year 5, you would have spent years building your thinking instead of letting only algorithms do it for you.
If you’re a young person, the leverage you currently have is time because life gets soooo busy as you get older and take on more responsibilities.
A lot of people get to their first/second job and stop reading deeply. We rely on summaries of summaries. We outsource our thinking to AI because “ Omg, I’m so busy, I don’t have time to finish a book”… please dkm.
The investment in quality information is in building yourself. Your ability to think. Your ability to see what others don’t and can’t.
The years will go by either way, it’s what you do with them that you’ll see.🦋✨
$AMZN is making the biggest strategic reset of the Jassy era with one clear goal to make AWS the infrastructure layer for the AI economy:
• Agreed to invest $50B in OpenAI
• Already has own AI stack with Nova, Trainium & Bedrock
• Building $25B Mississippi data center cluster for Anthropic
• Expanded Anthropic partnership to $13B with option for another $20B
• Spending ~$200B this year across AI data centers, custom chips, networking, warehouse robotics & satellites
AWS doesn't need to own the winning AI model but to make sure every major AI model, workload & customer eventually runs through AWS.
I still do incredibly hard things.
But I starting to see an obvious decline in the willingness to use my cognitive abilities.
Tf, i ask AI to give me title of a pr
“pr title” 🤦♂️