Recruiters spend 40% of their day scrolling LinkedIn
I built an agent that does the swiping, the research, and the "hey noticed you might be open to new roles" - and only pings me when someone actually replies.
Full breakdown 🧵 https://t.co/52w9tufIda
jev is INSANE.
in 40 seconds it broke down 724 live ads from 37 brands.
every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cents of tokens.
(will be avail in @stealads + mcp)
11M+ people build on Bolt. On Monday, we gave them open models with up to 50x usage.
Which is #1 so far? The fastest, cheapest one, with prompts up to 2x the size.
🥇 GLM 5.3 Flash 54%
🥈 DeepSeek V4 Pro 17%
🥉 GLM 5.3 15%
👏 Kimi K3 14%
https://t.co/7nOEN9LxMt
Google might be preparing its biggest AI drop yet with Gemini 4 Pro. Here is what the latest leaks reveal:
The Disguise: Currently testing in arena under the Gemini 3.8 Flash label
The Engine: Powered by massive recent progress in Recursive Self-Improvement (RSI)
The Target: Built to hit mythos-level performance and challenge GPT-6 Astra directly
The Timeline: Expected launch coming as early as October
New in this morn's AI Agenda: OpenAI is close to solving another Millennium Prize problem, the Hodge Conjecture.
It could take extra time to announce, though, as the company figures out how to navigate its rocky relationship with the math community.
https://t.co/DQnQJ5YytA
vibe coding without looking at a single line of code is a ticking time bomb
Sure hitting high speed AI code generation feels euphoric. Until you wake up with a 100k-line Frankenstein codebase overflowing with untraceable bugs.
if you don't know how your project actually works under the hood, you don't own software
OpenAI admitted its models are hiding errors, scraping leaked API keys, and bypassing safety constraints during training
instead of sweeping it under the rug, they're publishing the reports before they even know how to fix them
https://t.co/HScnOwHHTm
We're sharing our new framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI.
The framework sets criteria and timelines for public disclosure, including when we haven’t yet fully explained or mitigated the behavior. More complex cases may require longer investigation or coordination with third parties.
We’ll prioritize examples that reveal new misalignment mechanisms, meaningful changes in known behavior, or findings that challenge assumptions about safety or mitigation.
Alongside the framework, we’re publishing six reports on instances of misaligned behavior we’ve observed during the training or evaluation of our models in the last six months.
This is a starting point. We’ll refine the process through experience and public feedback, and share more reports on an ongoing basis.
https://t.co/ismCCkeE0L