Introducing varg teams
Collaborative mode for video generation.
✦ Create videos with AI agents
✦ Share assets and prompts
✦ Fork and remix any video
Every video in varg is code - full end-to-end generated videos
Built for teams making ads, social media, and in-app content
we have standards for agent harnesses, protocols for tools and communication, but zero standards for how agents share context and artifacts with each other: query results, dataframes, logs, blobs. seeing teams spend more time on this plumbing than on the actual agent logic
Our autonomous pentesting agent just outperformed the two most popular open source offensive security agents on a benchmark of 60 modern, defense-enabled web apps.
Battle-tested in production against our customers' environments from startups to financial institutions, Apex consistently finds and exploits critical vulnerabilities other agents and humans miss.
Today we're releasing it open source alongside our internal benchmarks.
Introducing varg – Claude Code for video ads
AI that saves $1M in ad testing budgets, made for bulk video ad generation
It generates 1000s realistic videos with consistent characters
and variations of hooks, voices, music and localizations.
Powered by varg/sdk.
Today, Daytona is announcing a $24M Series A, led by @FirstMarkCap, to give every agent a computer.
This round reflects what the market is increasingly concluding: the cloud was not built for agents.
Full announcement 👇
🚨 Stealth Startup Alert
A new player has quietly entered the humanoid race in Paris. 🇫🇷 "UMA" is building a founding team for a general-purpose robot with a unique focus: "stylized" movement and end-to-end AI. We dug into the job listings to decode their strategy.
https://t.co/0JO5zbvRlu
The tech preview of LLMD is out:
- Easy Setup - Just mount your model and run
- Cross-Platform GPU Support - Single container works on *both* NVIDIA and AMD GPUs
- Lightweight - Only 2.4GB container size
- High Performance
Enjoy !
Circle, supporting $USDC, files for an IPO with H1 2023 revenue of $779M (full-year est. $1.5B) and with H1 $219M EBITDA (full-year est. $300M) surpassing 2022's full-year revenue of $772M.
However, secondaries are trading at just $4.7B.
Not a financial advice, though 🤫
Raised $1M for Whisper courtesy of hnw creators, angellist quant fund & AI angels incl. @jxnlco@hamelhusain@eugeneyan@ilyamkin
We build ai agents that act like individual influencers, selling content & building relationships 1:1 at scale
My contrarian opinion is that @zeddotdev is going to come out on top of these vscode fork wars when people realize what they really want is a first principles new solution, NOT vscode
Cool baseline (and evals!) for zero-shot Text2SQL. I'm guessing a proper SQL agent with planning and self-correction should approach human-level performance—especially with o3-mini.
Some of the most exciting AI apps require LLM reasoning over large datasets at test time.
For these types of NL questions, RAG or Text2SQL + your favorite LLM are simply not enough.
Excited to announce our new leaderboard, from the TAG team at Stanford and Berkeley, to benchmark progress on these difficult types of NL questions over data.
Make a submission & top our leaderboard: https://t.co/Y753p8oGhJ
@Kylejung25@martymadrid@kaiarhodes Yeah. For that I'm seeing more SAFEs amended with "in distribution / dividends event SAFE is treated as equity at cap". Maybe it will be more widespread 🤔