Instruction Following was critical to us at @OpenAI making AI useful for humans. @CompleteSkeptic was a force on the research side, ensuring it was a good product. When he left to focus on machine-native intelligence, with @EGafni and @hackgoofer, we at @sparkcapital needed to be involved. What they've done in the two+ years since is remarkable and the response from the community these past 24 hours reminds me of July 2020, when we first introduced GPT-3 in the API. So much beauty and creativity already from this new primitive. I'm excited to see all that is built on it.

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution

The US is trending GWs short on generation for AI. "Speed to power" has entered every conversation on the infra scaleup and will only get more important. We have enormous conviction in behind-the-meter solar and think @tar_hq is the team to deploy it fast and reliably at scale.

GPT3!

Embodied foundation models are few shot learners

AI has become a useful research partner. It can find information, summarize evidence, and suggest ideas. But can it help us think better? Can it help us navigate the complex nuances of high-stakes decisions? Today, we’re taking the next step toward our mission of scaling up good reasoning for high-stakes decisions with the launch of the Elicit Research Agent, an AI environment built for high-stakes decisions. You can use the Research Agent today at elicit.com or access it through API (docs.elicit.com) to bring its capabilities into your own workflows.

The bottleneck in rare disease is design: too many mutations, one editor at a time. AI unlocks that. Proud to be building GemmaBio's platform with them under @ARPA_H 's THRIVE program. We're bringing our frontier AI models and base editors to the work to design modular gene editors that scale across many mutations.

We are delighted to have closed $3.3B in new funds to continue backing companies from the earliest stages through growth. Grateful to the founders we back and our limited partners for their continued partnership.

Generalist CEO @peteflorence says robotics models are in a transition period similar to the step change between GPT-2 and GPT-3. They're "starting to cross over into levels of performance where these things are commercially viable for a number of different applications." "We think this is a crossover point where we have a general model starting to be able to hit levels of reliability, speed, and improvisational intelligence where we can start to get these things out there." "Very much like — you take a GPT-2-level model, you scale it to a GPT-3-level model, and certain types of commercial applications start to become viable."

These models, they just want to learn

Elicit now has an MCP server. Use it inside Claude, ChatGPT, Copilot, Gemini, and any MCP-compatible tool. Agents hallucinate when they don't have access to the right evidence. With Elicit's MCP, they search 138M+ papers and cite instead of guess. Ask your agent to run a full Elicit research report from inside your existing workflow. It searches, screens, extracts, and produces a shareable report you can build on. Your agents are only as useful as the evidence they can access. Now they can access Elicit. Install directly in ChatGPT or ask your agent to read the setup instructions at elicit.com/api

Most VCs wouldn’t touch Anthropic in 2023. Yasmin Razavi did. The Spark Capital partner led a $450M round when Anthropic had no public product, no revenue and a massive capital need. Now the AI giant’s rise has landed her on the Forbes Midas List for the first time. forbes.com/sites/iainmartin/… (Photo: Guerin Blask For Forbes) #ForbesMidas

Most AI-in-pharma stories are about going faster. Profluent and Lilly's partnership is a scientific moonshot -- using AI to design large-scale DNA editors for genetic diseases where one-mutation fixes don't work, reaching patients conventional approaches can't

There's enough evidence now that it's all going to work just like LLMs. "Will it work?" is the wrong question. "How fast?" and "How to do it faster?" become the questions.

Scale is all you need (again). Generalist has pretrained a robotics foundation model from scratch, scaled it up, and it's all working as you'd expect if you truly believe in the scaling hypothesis The scaling laws they showed previously continue to hold. New capabilities emerge at scale. Some capabilities cross a threshold and are now commercially deployable generalistai.com/blog/apr-02…

Recent Hallway Chat with @Fraser and I, we chatted about our favorite recent feature from @conductor_build Instead of submitting a comment you can submit a prompt. And what that implies about the future of software. Full episode below.

I’m a daily user of Poke. This type of product — a helpful personal assistant, universally available via messaging — will be one of the most important products of this era. Text is the universal interface. It’s intuitive, without a learning curve. And while a button can only do what a button says, a text box can do anything the user can articulate. There’s a reason why over the history of the consumer internet only two UI paradigms have reached a billion-user scale: the media feed and the chat interface Poke.com - now available for everyone

The Elicit API is now available in preview for Pro and Teams users. You can search 138M+ papers and generate Research Reports from your code, scripts, or AI tools. Get your API key at elicit.com/settings and check out docs.elicit.com

Little nudges, adjustments, and taps... human intuition that helps us get things done when working with our hands. @GeneralistAI is showing emergent behavior where the model starts to react, correct, and recover in real-time. Weirdly human to see.

Congrats to Q.ai on the acquisition by Apple, the second largest in their history. In 2022, Aviad cold emailed out of the blue. He barely even told me what he was up to. But from the very first call it was obvious I had met a force of nature, and a kindred spirit. These folks have really made magic, oh how I wish this wasn't in stealth so you all could see. But with Aviad & team inside of Apple, the magic is sure to hit us all soon enough. @sparkcapital are so happy to have had the chance to partner with them. Congrats to the Q team! reuters.com/business/apple-a…