LLM hacking at 3:00 am / Father / Husband / Mr. Hustle / Technology enthusiast / Security enthusiast / Entrepreneur
GERMANY
Joined January 2010
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Found the chap I need to share all the Nvidia H100s with at night‼️‼️
BTW: Awesome work! @futuristfrog
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Misalignment between a human and an AI is an issue, but misalignment between one AI and another AI will be the much bigger problem in the coming months, and this is HUGE!
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Pawel Bojkowski retweeted
Introducing Claude Opus 4.7, our most capable Opus model yet.
It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.
You can hand off your hardest work with less supervision.
ALT Claude Opus 4.7 Benchmarks
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
Abstract:
While existing multi-agent systems (MAS) can handle complex problems by enabling collaboration among multiple agents, they are often highly task-specific, relying.......
arxiv.org/pdf/2602.03695
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A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces
Abstract:
Frontier language models have demonstrated strong reasoning and long-horizon tool-use capabilities. However, existing RAG systems fail to leverage.....
arxiv.org/pdf/2602.03442
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InfMem: Learning System-2 Memory Control for Long-Context Agent
Abstract:
Reasoning over ultra-long documents requires synthesizing sparse evidence scattered across distant segments under strict memory constraints. While streaming agents enable scalable
arxiv.org/pdf/2602.02704
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Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation
Abstract
Agent memory systems often adopt the standard Retrieval-Augmented Generation (RAG) pipeline, yet its underlying assumptions differ in this setting. RAG targets large.........
arxiv.org/pdf/2602.02007
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Scaling Multiagent Systems with Process Rewards
Abstract:
While multiagent systems have shown promise for tackling complex tasks via specialization, finetuning multiple agents simultaneously faces two key challenges..............
arxiv.org/pdf/2601.23228
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Building a C compiler with a team of parallel Claudes
We (Anthropic) tasked Opus 4.6 using agent teams to build a C Compiler, and then (mostly) walked away. Here's what it taught us about the future of autonomous software development.
anthropic.com/engineering/bu…
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Pawel Bojkowski retweeted
Introducing Claude Opus 4.6. Our smartest model got an upgrade.
Opus 4.6 plans more carefully, sustains agentic tasks for longer, operates reliably in massive codebases, and catches its own mistakes.
It’s also our first Opus-class model with 1M token context in beta.
Pawel Bojkowski retweeted
Kling 3.0 is here!
And it comes with two game-changing updates:
Kling 3.0 and Omni 3.0
Features:
- 3-15s with multi-shot sequences
- Native audio with multiple characters
- Upload/record video character as reference + consistent voices
Available now on @higgsfield_ai
Pawel Bojkowski retweeted
Anthropic just took a big swipe at OpenAI's decision to put ads in ChatGPT. Anthropic is airing ads mocking ChatGPT ads during the Super Bowl, and they're hilarious 😅 Anthropic is also committing to no ads in Claude theverge.com/ai-artificial-i…
Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems
Abstract:
The emerging field of diverse intelligence seeks an integrated view of problem solving
arxiv.org/pdf/2601.14096
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Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Abstract:
AI agents may soon become capable of autonomously completing valuable, long-horizon tasks in diverse domains. Current benchmarks either do not measure......
arxiv.org/pdf/2601.11868
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Agentic Reasoning for Large Language Models
Abstract:
Reasoning is a fundamental cognitive process underlying inference, problem-solving, and decision-making. While large language models (LLMs) demonstrate strong reasoning capabilities in closed-world...
arxiv.org/pdf/2601.12538
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🔥This is HOT🔥
Dario Amodei - The Adolescence of Technology
darioamodei.com/essay/the-ad…
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SimpleMem: Efficient Lifelong Memory for LLM Agents
Abstract:
To support reliable long-term interaction in complex environments, LLM agents require memory systems that efficiently manage historical experiences. Existing approaches either retain full....
arxiv.org/pdf/2601.02553
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