Today we're announcing the new Opal to build the operating system for attention.
1 million people already use Opal every single day. We raised $10M.
Personal AGI is coming. The bottleneck won't be access to intelligence.
It will be attention.
Apollo is spinning out from fiscal sponsorship into a PBC.
We are increasing our efforts in frontier AI safety research, evals and governance. Additionally, we are spinning up a product team to build AGI safety products starting with AI agent monitoring.
Next week we'll have a major announcement to share with more information about the team, the mission, and our new purpose-built, general reasoning model emphasizing prediction power and discovery - and how we will empower deployment of AI autonomy in critical systems where this is currently impossible.
Follow us and CEO @evelovesolive for more.
Our Aleph agent, powered by @OpenAI 's GPT‑5.2, scored 668/672, 99.4% w/hyper-efficiency on @gtsoukal et al.'s PutnamBench (the hardest formal math benchmark) a critical step in natural language automated code generation — English as programming — with hallucination-free results
Continuous Human Verification Protocol (CHVP) is the backbone of Alien
The idea behind it is to verify that someone is a human, privately. It's an open protocol that uses all known trustless methods for identity verification. We realized early on that there is no ideal solution that could meet all 4 criteria: privacy of user data, decentralization, uniqueness, and easy UX for global adoption
CHVP is in its early stage of Phase 0 of the network and is the logical evolution to enable trust online in the age of AI
We are beyond thrilled to share our first flagship models, Rnj-1 base and instruct 8B parameter models. Rnj-1 is the culmination of 10 months of hard work by a phenomenal team, dedicated to advancing American SOTA OSS AI.
Lots of wins with Rnj-1.
1. SWE bench performance close to GPT 4o.
2. Tool use outperforming all comparable open source models.
3. Mathematical reasoning (AIME’25) nearly at par with GPT OSS MoE 20B.
….
🚀 Aleph prover just went BEAST MODE
4 math problems unsolved for 20+ years. Formal proofs in Lean 4. Less than 48 hours. Under $5k total.
✅ Binomial tail bounds conjecture (Telgarsky, 2009)
✅ Quantum gate lattice approximation (Greene & Damelin, 2015)*
✅ Erdős 124
✅ Erdős 481
✅ #1 on PutnamBench leaderboard
The era of AI mathematics is here.
Special thanks to @BorisHanin and @ylecun for helping bring this to life 🙏
And massive kudos to the @LeanFRO team — none of this is possible without the incredible foundation you've built.
Aleph will be soon available to the public, stay tuned!
*conditional on results from Sardari (2015), formalization pending
Our Aleph prover agent just hit #1 on PutnamBench, a benchmark built from Putnam problems - one the hardest college-level math olympiad - fully formalized with machine-checked proofs and no human involvement. Putnam problems are often considered harder than IMO problems and span a wide range of topics, including calculus, number theory, group theory, and other core areas of mathematics.
This is strong evidence that AI can handle deep, multi-step reasoning with correctness guarantees — the same kind of technology we’re using to verify real software, hardware, and scientific discoveries that require formal logic.
We just tested Aleph prover on this version of Erdos #124 problem and were able to prove it in less that 2.5 hours and under $200 in cost: https://t.co/Q8boT8zOh2
https://t.co/xsyWv2ehDC
OMG it finally works!! 🚀🚀🚀
I got @OpenAI to draft emails 📧 for me in the background 🤯
This christmas I built an email assistant (https://t.co/3ALSbIJNlG) that automatically drafts email replies behind the scenes
no chrome extension necessary, here's the story 👇