FTA freezes failed tool observations before generation. Across six models and 3,600 human-annotated responses, false-success falls from 22.8% baseline to 0.8% with a structured evidence contract, while useful responses rise from 74.9% to 98.8%.
Anthropic's Project Swap put Claude agents into a book barter market. Live efficiency hit ~0.55 vs a ~0.89 optimum; ~85% of the shortfall was preference representation, not the trading floor.
Salesforce AI Research’s ten-day agent campaign argues continual operation without forgetting is a harness problem, before continual learning can even start.
Anthropic's Claude sped up 30+ biomolecular models ~4× and cut binder-campaign GPU cost by ~100×. The kernels are the story.
Nature’s Paper2Agent converts papers and code into tested MCP servers that act like virtual corresponding authors.
By Venkata Anirudh Devireddy · Endoblog.dev For over a decade, people who wanted to get into the tech industry were told the best way to do so was to learn to code. This was sound advice back then when coding was the bottleneck in creating software. However, that bottleneck is
By Venkata Anirudh Devireddy · Endoblog.dev They're used interchangeably a lot, but they shouldn't be. The difference between an agent and an assistant tells you about what kind of actions it can perform. An assistant responds. An agent acts. Assistants just respond to your questions. If
By Venkata Anirudh Devireddy · Endoblog.dev There used to be a clear line between the best closed models and the best open weight models. However, the gap between these two categories is starting to shrink, which is something every AI developer should be aware of. What "open weight"
By Venkata Anirudh Devireddy · Endoblog.dev AI browsers went from a novelty to something several companies in the industry are shipping this year alone. So worth understanding what they can do for you. The basic idea of AI browsers is that the browser will show you the website you want
People often say that artificial intelligence killed entry-level developer jobs. While this is true to a certain extent, it's not the complete picture. The numbers For developers between the ages of 22 and 25, there has been a near 20% decrease in the number of available jobs
By Venkata Anirudh Devireddy · Endoblog.dev I've sent over fifty cold emails to professors and startup founders. Most got ignored. Some got replies. A few turned into actual research affiliations. Here is what separated the two groups. Read something they wrote first Most emails to professors read the
By Venkata Anirudh Devireddy · Endoblog.dev Every student has had the same moment. You write something yourself, run it through Turnitin out of paranoia, and it comes back flagged as partially AI generated. You didn't use AI. The tool is wrong. And there's no clean way