Kaylo Littlejohn

Speech ML @Roblox. PhD @Berkeley_AI. Brain-to-speech, Speech modeling

[Kaylo Littlejohn @KayloLittlejohn]

1/n) Our latest work is out today in @NatureNeuro! We developed a streaming “brain-to-voice” neuroprosthesis which restores naturalistic, fluent, intelligible speech to a person who has paralysis.

https://t.co/EAk1Wz25TH

[Kaylo Littlejohn @KayloLittlejohn]

@DougKass @TheStreetPro My internal plan is as follows

⬇️Details are as follows~

[Kaylo Littlejohn @KayloLittlejohn]

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Here’s the link : https://t.co/iQUd4Qg1NJ

[Kaylo Littlejohn @KayloLittlejohn]

@vnkumarvnk my current market perspective.

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[Kaylo Littlejohn @KayloLittlejohn]

@vnkumarvnk I will share my 2026 investment plan on WhatsApp. The first 10 to join get it for free！

➡️Copy search input Reply “2026” to WhatsApp: + 17404086946

Here’s the link : https://t.co/iQUd4Qg1NJ

[Kaylo Littlejohn @KayloLittlejohn]

@vnkumarvnk My Stock Strategy

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[David Baszucki @DavidBaszucki]

We’re on the verge of interactive, real-time, photorealistic video generation with what are called World Models. These require a fair amount of expensive compute, but costs will come down over time. Today, these interactions are essentially real-time dreams. They lack the persistence and shared logic that turns a video into a multiplayer game. Or concert. Or classroom. Or the holodeck.

We believe the ultimate architecture for gaming (and the holodeck) is Roblox Reality. It’s a hybrid architecture that marries the structured data and logic of the Roblox Engine and Roblox Cloud with the generative power of Video World Models. The Roblox Engine provides the underlying synchronized ground truth—the score, physics, multiplayer sync, etc.—while our video model acts as a Super Upsampler to layer on photorealistic detail.

We believe this will ultimately remove barriers to high-fidelity creation, allowing a team of three people to build a narrative-driven, photorealistic masterpiece in a single week. This is an early look at turning solitary AI dreams into a social, playable reality.

https://t.co/9SYizn5TV6

[Kaylo Littlejohn @KayloLittlejohn]

@NS_Card congrats man! This is great to see (or shall we say hear)!

[gabriel @gabriel1]

me and everyone around me prompt codex and chatgpt with voice. the more decisions you can spit out to codex the better your code will be, so you're only interface limited

the "everyone will use speech" guys were right, just 234 products and 18344 softwares too early

[Louis Liu @LouisLiu0324]

🎙️Introducing StyleStream:
the first streamable zero-shot voice style conversion system.

🚀Clone timbre, accent, and emotion simultaneously, with state-of-the-art quality, streaming locally on a single RTX 4060.

💡The Destylizer trained with ASR supervision + an ultra-narrow information bottleneck strips away voice style while preserving only linguistic content. Crucially, it keeps the original duration, making clean chunk-by-chunk streaming straightforward.

🎨The diffusion Stylizer then faithfully re-renders the content with the target style.

📰Paper: https://t.co/XgBmrMKskX
💻Code: https://t.co/dvMGJotueq
🔊Demo: https://t.co/qCVnaxd6hl

▶️Real-time demo below ⬇️

[Peter Yang @petergyang]

I believe that:

1. AI agents will soon be the first to interact with many products

2. You should be able to use any AI model you want to build great games

Our Studio MCP Server now lets AI agents iteratively plan, write, test, and modify your game. And you can now bring your own API key from Anthropic, OpenAI, or Google Gemini to build.

📌 Learn more here: https://t.co/WM3wkiyWR6

[Kaylo Littlejohn @KayloLittlejohn]

@BenMildenhall Congrats Ben!

[Alex Wang @heyyalexwang]

inference time learning is imo a more accurate term than continual learning, otherwise continual learning is just finetuning

[Ahmed Alaa @_ahmedmalaa]

📢 Please retweet: We're recruiting **PhD students and Postdocs** at UC Berkeley & UCSF!

Please apply if you are interests in AI for healthcare, statistics/causal inference, or medical vision-language models.

For more details, check out this link: https://t.co/3ycodEjdrM

[Kaylo Littlejohn @KayloLittlejohn]

@bneyshabur There's a good perspective piece by @kchonyc here https://t.co/FqWrvCc8bA that coincides quite well the predictions made in the threads. The supply of well trained ML engineers have rapidly been increasing over the past 5 years, reducing the premium for PhD training.

[Aidan McLaughlin @aidan_mclau]

my biggest codex power user tip is to use dictation
install macwhisper or whatever you like

you'll just end up specifying like 3× more than you would by typing

and avoid so many footguns
just try it

[Kaylo Littlejohn @KayloLittlejohn]

@RominaNejad Linear by a long shot.

[Erin Kunz @pearlsandpython]

Excited to share our new study on inner speech out now in @CellPressNews!
W/ @benyameister (co-lead) @WillettNeuro (senior)
https://t.co/kO71vbAhBe

[Tim Althoff @timalthoff]

I’m excited to share our new @Nature paper 📝, which provides strong evidence that the walkability of our built environment matters a great deal to our physical activity and health.

Details in thread.🧵

https://t.co/omO3YcHrvG

[Kaylo Littlejohn @KayloLittlejohn]

This is a truly exceptional result. An instantaneous brain-to-voice synthesizer with paralinguistic features like prosody.

Congratulations @Maitreyee_W @BrainGateTeam on the monumental achievement!

[Maitreyee Wairagkar @Maitreyee_W]

Our brain-to-voice synthesis brain-computer interface paper was published in @Nature today! This neuroprosthesis synthesized the voice of a man with ALS instantaneously, enabling him to ‘speak’ flexibly and modulate the prosody of his BCI-voice. 1/7
Paper: https://t.co/STKtfgypAW

[will brown @willccbb]

being good at ML systems helps you run more experiments. being good at ML theory helps you run less experiments