Hari Korrapati

Exclusive: Meta employees are “tokenmaxxing” and competing on an internal leaderboard called “Claudeonomics” for status as a token legend. Over a recent 30-day period, total usage on the dashboard topped 60 trillion tokens.

Wavelength app is finally live. In December, we built an app-less experience. Chat based, completely scrappy. Whatsapp blocked 80% of our messages, emails went to spam. We were literally texting people manually to tell them they had a match. And it still worked. We matched about 250 couples and people went on real dates. Then we rebuilt everything voice first. You talk to Wave, she listens, questions, and matches you based on what she actually hears. Efficacy and satisfaction went up by 6x. Now our app can actually ping you when your match is ready and ask how your date went. Love is coming to Bangalore.

There’s been a lot of allegations against Delve. But we haven’t been able to share our side of the story until today due to ongoing cybersecurity and forensics investigations. Maintaining customer trust is central to everything we do. That said, we grew too fast and fell short of our own standard. To our customers, we deeply apologize for the inconveniences caused. We take these allegations seriously and have made changes: a new auditor network, free re-audits and pentests for all customers, enhanced transparency in audit communications, and more. However, we also want to set the record straight on the anonymous attacks. The evidence we have points to a targeted cyberattack from a malicious actor, not a “whistleblower.” We believe the attacker purchased Delve under false pretenses, exfiltrated internal company data, and used it to launch a coordinated smear campaign. The posts rely on a mix of fabricated claims, cherry-picked screenshots, and stolen data taken out of context. See the link in the comments for more details. Delve was built to modernize compliance. We are not going anywhere and are committed to building what's next.

How Axios was compromised 🤯

New from Together Research: Aurora. Speculative decoding that adapts to shifting traffic in real time — and keeps improving the longer it runs. Open-source, RL-based, 1.25x faster vs. a well-trained static speculator with no offline retraining pipeline. Thread 🧵

Was great to speak at OpenAI yesterday! Link to the recording:

Bro to Bro: Share a health tip 🙏🏾