Top stories in AI today: – Meta's ‘personal superintelligence’ vision
– 'Netflix of AI' launches with Amazon backing
– Create marketing videos with agents
– Google’s ‘virtual satellite’ for planet mapping
– 4 new AI tools & 4 job opportunities Read more: https://
therundown.ai/p/mark-zuckerb
ergs-personal-superintelligence-vision
…
AGENTS
-
Meta’s superintelligence vision and top AI developments today
By
–
-
Neo AI launches NEO agentic machine learning engineer with sub-agents
By
–
Neo AI debuted NEO, an “agentic machine learning engineer” powered by 11 sub-agents
— The Rundown AI (@TheRundownAI) 31 juillet 2025
It runs autonomously, working like a full-stack engineer that handles everything from data exploration and feature engineering to training, deployment, and monitoringpic.twitter.com/ofFAtGLGMtNeo AI debuted NEO, an “agentic machine learning engineer” powered by 11 sub-agents It runs autonomously, working like a full-stack engineer that handles everything from data exploration and feature engineering to training, deployment, and monitoring
-
Subscribe to Weekly AI Engineering Tutorials and Open Source Repos
By
–
If you're interested in ML, LLMs, and AI agents and want to receive weekly tutorials and open-source repos, subscribe to AI Engineering (it's free):
-
RL Model Training Made Accessible for Developers
By
–
You literally can’t be too lazy to train a model with RL with this approach No excuses anymore Go build!
-
Multi-Agent Systems: Honesty in Prompting and Post-Training Efficiency
By
–
(i'm just memeing, no harm meant, multi agents is obviously the way, per https://t.co/dYMgFl7bFw , however 1) you should be @lateinteraction -level intellectually honest about your prompting and performance gains and 2) multiagent posttraining is going to be ooms more efficient…
— swyx 🐣 (@swyx) 30 juillet 2025(i'm just memeing, no harm meant, multi agents is obviously the way, per https://
x.com/latentspacepod
/status/1939848051847491652
… , however 1) you should be @lateinteraction -level intellectually honest about your prompting and performance gains and 2) multiagent posttraining is going to be ooms more efficient -
Writing RL Agent from Scratch Without Prior Code
By
–
It was a fun exercise recently to just open up a completely blank file and write an RL agent from scratch, without looking at any of my prior code. There is a point of scale where rewriting things from scratch is a bad idea, but it is a blessing when you can! By “from scratch” I
-
SciSpace Agent: Automating Research Review and Data Analysis
By
–
4. Example: You are working on a review of neuroplasticity. SciSpace Agent scans current studies, generates an outline, provides precise citations with DOIs, and even writes suitable abstract drafts—all in seconds.
— Chubby♨️ (@kimmonismus) 30 juillet 2025
Or you are analyzing complex data: SciSpace can help you… pic.twitter.com/qJl6IKLPaJ4. Example: You are working on a review of neuroplasticity. SciSpace Agent scans current studies, generates an outline, provides precise citations with DOIs, and even writes suitable abstract drafts—all in seconds. Or you are analyzing complex data: SciSpace can help you
-
Perplexity Comet: AI agent promises autonomous search and task automation
By
–
☄️ Perplexity Comet: hype or helpful?
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 30 juillet 2025
• Built on Perplexity’s AI search, it implements agentic behaviours like summarizing emails, organizing tabs, shopping/browsing, and auto-browsing with confirmations.
• Early access, invite‑only; $200/mo (Perplexity Max).
• Shift from… pic.twitter.com/zvaCV1BwZNPerplexity Comet: hype or helpful? • Built on Perplexity’s AI search, it implements agentic behaviours like summarizing emails, organizing tabs, shopping/browsing, and auto-browsing with confirmations. • Early access, invite‑only; $200/mo (Perplexity Max). • Shift from
-
SciSpace Agent: First AI Tool Built Specifically for Science
By
–
2. SciSpace Agent isn't just any AI tool. It's the first AI built specifically for science. No gimmicks. Just a real working tool—fully trained for research, review, and publication.