AGENTS

→ View original post on X — @yoheinakajima

FlyMyAI Agent Builder Creates Automated News Podcasts

By

@yoheinakajima

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14 April 2026 22h45

one-shot podcast from news with @flymy_ai's new agent builder (just tested it), it:

– researched news
– created a transcript
– created a voice for each part
– stitched it together

full prompt + output pic.twitter.com/MFqPxTSwlr
— Yohei (@yoheinakajima) 14 avril 2026

one-shot podcast from news with @flymy_ai
's new agent builder (just tested it), it: – researched news
– created a transcript
– created a voice for each part
– stitched it together full prompt + output

→ View original post on X — @pmddomingos

AI as Argumentative Tool Outperforms Human Debate

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@pmddomingos

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14 April 2026 22h13

You can out-argue me, but you can't out-argue my AI.

→ View original post on X — @dair_ai

Proactive AI Agents: Real-Time Intent Recognition Research

By

@dair_ai

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14 April 2026 22h07

Most AI assistants wait for you to ask. But a truly useful agent should notice you need help before you say anything. New research takes a serious shot at building proactive agents that work in real time. The work introduces PASK with three components: IntentFlow for streaming

→ View original post on X — @clementdelangue

Best Agent and Coding Harnesses for Open-Source Models

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@clementdelangue

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14 April 2026 21h43

Is there somewhere a collection of the best agent/coding harnesses for each models, especially open-source and local ones? In my opinion, the biggest reason why people are struggling with open/local models these days is that the agent/coding harnesses in most open agent are not

Anthropic Research on Automated Alignment Researchers

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14 April 2026 21h39

We discuss this, along with the other implications of this research, in our blog: https://
anthropic.com/research/autom
ated-alignment-researchers
… For the full study, see here: https://
alignment.anthropic.com/2026/automated
-w2s-researcher/
…

Claude Accelerates AI Alignment Research Experimentation Rate

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14 April 2026 21h39

AI models aren’t yet general-purpose alignment scientists. Progress isn't as easy to verify on most alignment research tasks: our AARs would find “fuzzier” research much harder. But our experiment does show that Claude can increase the rate of experimentation and exploration.

Automated Alignment Researchers Surpass Human Performance by 97%

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14 April 2026 21h39

Here, we measure success by the fraction of the “performance gap” we can close between the weak model and the potential of the strong model. After 7 days, human researchers closed it by 23%. Then, our Automated Alignment Researchers—Opus 4.6 with extra tools—closed it by 97%.

Anthropic Develops Automated Alignment Researcher with Claude

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14 April 2026 21h39

New Anthropic Fellows research: developing an Automated Alignment Researcher. We ran an experiment to learn whether Claude Opus 4.6 could accelerate research on a key alignment problem: using a weak AI model to supervise the training of a stronger one.

→ View original post on X — @fogoros

Autonomous Energy Systems Decision Speed Requirements

By

@fogoros

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14 April 2026 21h39

What's the fastest decision time your energy systems need to make autonomously? @IIoT_World @CRudinschi @agentic_factory @asokan_telecom @KADGLOBAL @Paul4innovating