Abacus AI Deep Agent is already an excellent junior software engineer. Our big launch this week automates a different type of engineer. Someone ESSENTIAL to shipping robust software. Any guesses on who that is?
AGENTS
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Enterprise AI Agents Fail Without Quality Data Input
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“When AI agents fail, it's not because the agent is not able to reason about data, but because the agent is not getting the right data in the first place.” Databricks Research Director @bemikelive explains the core challenge behind getting enterprise agents to produce
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Instructed Retriever: Enterprise Agents With System-Level Reasoning
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Reliable enterprise agents require system-level reasoning when retrieving across heterogeneous knowledge sources. Traditional RAG often fails to consistently follow instructions, schemas, and constraints end to end. That’s why we’re presenting Instructed Retriever, a new
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20 Must-Try AI Tools for 2025: Complete Stack Overview
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20 must-try AI tools for 2025. This stack covers everything: chat & reasoning image gen video gen voice/music AI search automation AI agents My top 3 right now: ChatGPT, Perplexity, Midjourney. What are yours? #AI #AITools #GenerativeAI #Automation
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Build Effective AI Agents in DAIR-AI Academy
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Learn to build effective AI agents in our academy: https://
dair-ai.thinkific.com
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Who Controls AI Power Dynamics Emerge
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The world is about to see who is really calling the shots …
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Hyperparameter Tuning and Agent Performance Limitations
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I don’t want to take too much credit — hyperparameter tuning for any given algorithm is a big deal, and I’m sure the others can perform well with more effort. I also have much better performing agents, but they won’t run on a laptop.
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81% Say Scaling Agentic AI More Complex Than Expected
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If agentic AI feels harder than expected, you’re not alone. 81% say scaling agentic AI into production is more complex than expected. Get the data behind why scaling agentic AI breaks down. https://
domino.buzz/491Gs8g Full Report https://
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RL Team Replicates Physical Atari Work, Compares Baseline Agent
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Another RL team replicated our Physical Atari work and compared my baseline agent against several standard algorithms. https://
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Building High-Quality Deep Research Agents While Reducing Token Waste
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🎙️ How do you make a high quality deep research agent without burning thousands of tokens?@tavilyai's Dean Sacoransky joins our host, @yuvalinthedeep on log-driven iteration, cutting wasted tokens, and improving quality section by section.
— AI21 Labs (@AI21Labs) 6 janvier 2026
Watch it here:… pic.twitter.com/sQDWlvV0xRHow do you make a high quality deep research agent without burning thousands of tokens? @tavilyai
's Dean Sacoransky joins our host, @yuvalinthedeep on log-driven iteration, cutting wasted tokens, and improving quality section by section. Watch it here: