Jennifer Li

okay, microsoft solved chart crimes

wdym you just don't run the models everyone cares about????

feelings mutual! @a16z is such an incredible team

Wait what?

$870 million series A at a $7.5B valuation, with @martin_casado joining the board?

The latter is worth more than the money! Insane and well deserved

Big fan of Jev & @typesafeai 👏

.@CompleteSkeptic co-invented ChatGPT and today he's announced a $870M Series A for @typesafeai

Hiring for these open roles:

Even more exciting than the record breaking adoption (nearly 1/3 of the Fortune 500 is already using Jev) is the broader explosion of creativity and optimism that @typesafeai has unleashed.

Couldn't put it better than @CompleteSkeptic: "the narrative of software being over is so over."

Get out there and Jev Jev Jev.

I am super fired up to be working with @CompleteSkeptic, Erik, and Sash Dog!

Announcing @a16z's investment in TypeSafe!

In a world of Big Token, Jev is a different kind of intelligence — built to make software smarter and empower developers.

So psyched to work with this team 🚀

(side note: @CompleteSkeptic has the best t-shirt collection I've seen 😂)

20,714,285,714,285,714 input tokens

We're so excited to back and partner with the @typesafeai team. The recent growth has been incredible.

Most AI talk is about replacing software. Jev goes the other way and puts the intelligence inside the software developers already ship.

>be diogo almeida
>grow up in the philippines
>win bronze at international math olympiad
>study at rensselaer polytechnic institute
>join google brain
>quit in 2018
>spend 18 months traveling, meditating, playing league of legends
reach top 30 in league
>decide building AI is more fun
>join openai in 2020
>help pioneer RLHF and InstructGPT
>help build chatgpt
>realize LLMs still struggle with reliable decisions
>leave to start your own company (raising 40m seed)
>spend two years building in stealth
launch a new kind of AI model
>3 weeks later raise $870 million series A at a $7.5 billion valuation

not bad for a league of legends player

Best minds in software coming together, it’s gonna be epic!!

We are here for the Jevolution! 💞

Couldn’t have gotten this far without my partners who are in the tranches helping with this mission: @stuffyokodraws @venturetwins @steph_zhang @sarahdingwang @DavidGeorge83 @martin_casado @pmarca @bhorowitz

Return the power to builders, and let them build! 👷‍♂️👨🏻‍💻👩🏾‍💻👷🏼‍♀️

We’re so excited to announce that we’re leading TypeSafe AI's Series A:

"Like @TypeSafeAI, we believe the future of SaaS and software is bright. And AI should make software more powerful, and not just automate the recreation of existing software. This spiritual alignment goes back many years. We’ve long been fans of Diogo, the founder and CEO of TypeSafe, and have resonated strongly with his vision that the true bitter lesson is not necessarily about building a new being, but returning the power to builders by giving them the primitives of intelligence then letting them unleash their imagination.

The entire a16z team is excited to partner with TypeSafe. Software continues to eat the world."

By @JenniferHli, @sarahdingwang, @martin_casado, @pmarca, and @bhorowitz

So psyched to be partners of @CompleteSkeptic @EGafni @hackgoofer and the entire @typesafeai team!

Get out there and JEV!!!!

PS. We are hiring, and we are chill (cool)! 🧊😎

The honor is ours!!

Another great piece by @chem_safety .

Can a model that doesn’t generate text compete with frontier LLMs?

We independently tested TypeSafe’s Jev against 11 other models. On 400 claim-verification questions, it matched GPT-6 Astra’s 97.5% accuracy at ~1/500th the cost.

The diffusion of personal agents (Grok bot, Muse, Dots, Instinct, etc) may cause a rapid increase in socioeconomic inequality that we are not prepared for. This follows from a rough first-principles argument:

1. Life is a set of negotiations.
2. As personal agents get better, we will delegate more of our negotiations to them.
3. Negotiations will increasingly happen directly agent-to-agent.
4. In general, agent performance scales with model intelligence and inference-time compute.
5. Personal agents that consume more frontier intelligence will win more negotiations, in expectation.
6. People with more resources will pay for more expensive personal agents.
7. Winning more negotiations begets more resources.

Therefore - people with more resources will use better agents, win more negotiations, and acquire more resources.

Consider a situation where my roommate and I are deciding how to split our rent. If we delegate the decision to our agents, with mine running Fable 5.1 and his running Luna 6, I should expect a more favorable split than if our agents were equally intelligent.

The most important junctures in life are negotiations (jobs, promotions, purchases, housing, lawsuits, etc.), so people who can afford the best agents should expect to do better in these situations, compounding their initial material advantage.

This already happens to some extent (people with more resources hire better lawyers), but it may be amplified if 1) the gap between frontier and free intelligence is wider than the status quo gap (Big Law attorney vs. public defender), or 2) delegation to agents means more negotiations occur in total, so differences compound.

Personal agents may instead reduce inequality if 1) the gap between everyday and frontier intelligence is smaller than the human equivalent, 2) agents are more neutral/rational than humans and converge on an independent truth rather than acting at the behest of their operators, or 3) superintelligence frees everyone from resource constraints entirely.

If this form of inequality emerges, possible solutions include 1) taxing tokens and 2) subsidizing intelligence for the masses.

We're officially in Japan!! 🇯🇵
ここに来られて光栄です。