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Emily Jones
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Emily Jones
@Emilyixg8a
No matter how fierce the storms you encounter, I hope you always possess the ability to find happiness within yourself
United States Katılım Şubat 2018
3K Takip Edilen1.2K Takipçiler
Emily Jones retweetledi
Emily Jones retweetledi
Ideogram just released the #1 open weight image model in the world.
It punches way above its weight - it's small enough to run on a consumer GPU, but goes head-to-head with Nano Banana and GPT Image for design.
We went deep with @mo_norouzi on how they did it + hot takes 👇
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Emily Jones retweetledi
Emily Jones retweetledi
I’m proud to officially launch Sakana Marlin, our first commercial product: an autonomous “Ultra Deep Research” agent designed to act as a Virtual CSO.
Try Marlin: sakana.ai/marlin
Blog: #English" target="_blank" rel="nofollow noopener">sakana.ai/marlin-release…
Marlin isn’t just another deep research assistant. It is the direct productionization of our team’s core breakthroughs, including our AB-MCTS work (NeurIPS 2025 Spotlight) and The AI Scientist (published in Nature).
Instead of generating text in seconds, our focus is on long-horizon, sample-efficient reasoning.
Marlin scales up inference-time compute to execute up to 8 hours of continuous, autonomous reasoning. It forms hypotheses, navigates the web, resolves contradictions, and delivers exhaustive, expert-level strategy reports and structured slides.
Sakana AI@SakanaAILabs
Today, we are launching our first commercial product: Sakana Marlin, Your Virtual CSO. Marlin is an autonomous research assistant for business, built around hours of long-horizon reasoning. Try Marlin: sakana.ai/marlin Blog: #English" target="_blank" rel="nofollow noopener">sakana.ai/marlin-release…
You provide a research topic, and that is the only input required. From there, Sakana Marlin works autonomously for up to roughly 8 hours. It forms hypotheses, gathers information, and verifies its own findings as it works through a vast body of material. It returns a structured set of summary slides and a research report dozens of pages long. It is designed to take on the kind of deep strategy work that a CSO and a small team might otherwise spend weeks on. Unlike instant chat or general-purpose deep research, Sakana Marlin executes a long reasoning process that unfolds over 8 hours. Underpinning it is the research we have pursued over the past two years into long-horizon reasoning and AB-MCTS, our method for coordinating multiple models to reason more effectively together. But Sakana Marlin did not come from the lab alone. It grew out of our work deploying AI agents across real industries in Japan, making it the direct product of what we have learned in both research and the field. Marlin is available today, offering a pay-per-use tier with no monthly fees, alongside Pro, Team, and Enterprise plans. It is also the first of many products to come from Sakana AI, stay tuned! English
Emily Jones retweetledi
Our Robotics Accelerator has launched with 15 startups helping shape the future of physical AI in Europe. 🤖
This three-month program will connect them with access to our AI stack, Gemini Robotics models and hands-on support from our teams.
Meet the companies → goo.gle/4oeEk2K
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Emily Jones retweetledi
New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with @CopilotKit and taught by @ataiiam, co-founder of CopilotKit.
You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation.
Skills you’ll gain:
- Build agents that render custom components like charts and forms on demand
- Build an app where the agent and user collaborate on shared data, beyond just the chat window
- Place third-party apps like maps, calendars, and whiteboards right in your interface
Join and build agents that give users something to see and act on! deeplearning.ai/short-courses/…
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Emily Jones retweetledi
Emily Jones retweetledi
Grok Voice just ranked #1 on Vapi’s Humanness Index and it's scary good
That is a huge deal
This benchmark is simple:
Listeners hear blind same-voice battles and pick which voice sounds more human
Grok TTS scored 100 in humanness matching the human baseline
That means Grok is reaching human-level voice quality on one of the most important benchmarks for real AI agents
And Grok is doing this at $15 per 1M characters, while major competitors listed on the leaderboard are charging $60–$100
xAI is building world's best voice layers for real AI agents
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Emily Jones retweetledi
A good essay by @pgasawa and @profjoeyg on a more nuanced view of AI advances.
Parth Asawa@pgasawa
The AI community seems to increasingly be heading towards a polarized world when discussing safety and consolidated power. I see this discourse as a false dichotomy, so @profjoeyg and I wrote an essay on how we need to change the conversation (link below).
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Emily Jones retweetledi
I'm excited about voice as a UI layer for existing visual applications — where speech and screen update together. This goes well beyond voice-only use cases like call center automation.
The barrier has been a hard technical tradeoff: low-latency voice models lack reliability, while agentic pipelines (speech-to-text → LLM → text-to-speech) are intelligent but too slow for conversation. Ashwyn Sharma and team at Vocal Bridge (an AI Fund portfolio company) address this with a dual-agent architecture: a foreground agent for real-time conversation, a background agent for reasoning, guardrails, and tool calls.
I used Vocal Bridge to add voice to a math-quiz app I'd built for my daughter; this took less than an hour with Claude Code. She speaks her answers, the app responds verbally and updates the questions and animations on screen.
Only a tiny fraction of developers have ever built a voice app. If you'd like to try building one, check out Vocal Bridge for free: vocalbridgeai.com
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Emily Jones retweetledi
Looking back at these clips from GTC Taipei and reminiscing on what an incredible week it was. There’s nothing quite like the buzz of the tech community coming together in person.
From the packed keynote hall and cutting-edge robotics to the fun local activations (and yes, those little lobster claw keychains 🦞), Taipei truly outdid itself. Thank you to everyone who smiled for the cameras, chatted with our avatars, and brought the future of AI to life.
Until next time, Taipei! 🇹🇼💚
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Emily Jones retweetledi
Emily Jones retweetledi
Belgium is the 5th European country to approve FSD Supervised
Tesla Europe, Middle East & Africa@teslaeurope
FSD Supervised now approved in Belgium 🇧🇪 Rollout will begin soon
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Emily Jones retweetledi
Awesome to see this innovation in text diffusion. DiffusionGemma is lightning fast, 4x faster than other Gemma 4 models! Congrats to @bodonoghue85 and the team who worked so hard on this - excited to see what people build with it!
Google Gemma@googlegemma
Meet DiffusionGemma! An experimental open model that explores a fast approach to text generation, released under an Apache 2.0 license. Moving beyond sequential, token-by-token processes to generate entire blocks of text simultaneously. Here’s what’s new with DiffusionGemma: 👇
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Emily Jones retweetledi
A new milestone! 🎉Thank you all for supporting open education and spreading the word about this terrific opportunity so we can reach our next 3 million!⚡️
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Emily Jones retweetledi
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Emily Jones retweetledi
This past March, @CarinaLHong sat down with @latentspacepod for an episode on the Series A announcement.
"Verified AI sounds like eating broccoli and paying taxes, but to Axiom it's about scaling brilliance, compounding brilliance."
Agentic superintelligence needs Verified AI.
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Emily Jones retweetledi
People replace their phones every ~4 yrs. This means there are hundreds of millions of old phones discarded each year that are still perfectly usable as computing devices. @Google in collabration with @UCSD is exploring how to turn these old phones into cloud-computing “phone clusters”. Putting phones back in service in this way can directly reduce the environmental footprint of computing by avoiding the need for further raw material extraction, and taking advantage of the embodied carbon already incurred from manufacturing these devices, and modern phones actually are already quite powerful computers. Read more in the blog below ⬇️
Google Research@GoogleResearch
Today on the blog, we discuss a pathway for the second life of phones through the exploration of “phone cluster computing”, which can directly reduce the environmental footprint of computing by avoiding the need for further raw material extraction. More →goo.gle/4aJe5vO
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Emily Jones retweetledi
Last chance to fill out the annual AI Engineering Survey this weekend and win great Vercel + Notion + AIE tix!
link below
we had @devinai analyze registered attendee list and output a live chart of the people coming to the conference. it ended up being the single best data driven storytelling i've ever seen on what kind of community we are gathering in two weeks.
survey link here!
ntn.so/ai-survey
no lurking, fill it out pls
Barr Yaron@barrnanas
Last call for the 2026 AI Engineering Survey 👀 ntn.so/ai-survey Excited to be partnering with @NotionHQ and @vercel on this year's report. Looking forward to sharing the results on the main stage at @aiDotEngineer!
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Emily Jones retweetledi
When millions of AI agents interact with each other, new collective behaviors can emerge. 🌐
Together with @schmidtsciences, @coop_ai, @ARIA_research and supported by @GoogleOrg, we’re launching a $10M research fund to help understand how AI systems behave as a group. → goo.gle/3Si6rCl
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