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SYSTEMS

AI Agentic Systems Hallucination Compliance Framework

By

@scobleizer

–

28 May 2026 18h30

Important post for entrepreneurs from @a16z yesterday and a look at a new system that ensures AI agentic systems don't hallucinate their way into compliance hell.

"The value comes less from the underlying model’s raw capability (though that’s still important!) than from the… https://t.co/tmh6mxv3fc pic.twitter.com/9pgzceZNZM
— Robert Scoble (@Scobleizer) 28 mai 2026

Important post for entrepreneurs from @a16z yesterday and a look at a new system that ensures AI agentic systems don't hallucinate their way into compliance hell. "The value comes less from the underlying model’s raw capability (though that’s still important!) than from the

→ View original post on X — @scobleizer,

28 May 2026
Standardized Agent Harnesses Drive Managed Services Growth

By

@hwchase17

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28 May 2026 18h25

As agent harnesses become more standardized, we’re going to see a lot more “managed agent services”

→ View original post on X — @hwchase17,

28 May 2026
AI agents that automate idea-to-deployment workflows

By

@godofprompt

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28 May 2026 16h42

That’s the real unlock: Less mode-switching.
Less setup friction.
Less “wait, which workflow do I need?” The agent can move from idea → app → tool connections → deployment without forcing you to babysit every step.

→ View original post on X — @godofprompt,

28 May 2026
Agents need memory for production-ready flows

By

@godofprompt

–

28 May 2026 16h08

Agents don’t need another shiny demo.

They need memory for the boring production flows that actually matter.

Rote turns successful API runs into replayable local flows, so agents stop burning tokens to rediscover what already worked.

That’s the missing infra layer.@modiqoai… https://t.co/WWmEgi3V0z
— God of Prompt (@godofprompt) 28 mai 2026

Agents don’t need another shiny demo. They need memory for the boring production flows that actually matter. Rote turns successful API runs into replayable local flows, so agents stop burning tokens to rediscover what already worked. That’s the missing infra layer. @modiqoai

→ View original post on X — @godofprompt,

28 May 2026
Async RL Weight Sync Reduces Bandwidth Costs 100x

By

@clementdelangue

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28 May 2026 15h23

The HF science team just made async RL weight sync ~100x cheaper on bandwidth, and you don't need a shared cluster anymore. The problem: every RL step, the trainer typically has to sync fresh weights to the inference engine. for a 7B in bf16 that's ~14GB. for a frontier 1T fp8

→ View original post on X — @clementdelangue,

28 May 2026
Microsoft open-sources SkillOpt for self‑improving agent skills

By

@datachaz

–

28 May 2026 10h08

🚨 MICROSOFT JUST OPEN-SOURCED SELF-EVOLVING AGENT SKILLS

You can now train agent skills the exact same way you train AI models, and watch them get better over time.

It's called SkillOpt, and it's 100% free and open-source.

Until now, building agent workflows has been pure… pic.twitter.com/kjAIs2Mnvi
— Charly Wargnier (@DataChaz) 28 mai 2026

MICROSOFT JUST OPEN-SOURCED SELF-EVOLVING AGENT SKILLS You can now train agent skills the exact same way you train AI models, and watch them get better over time. It's called SkillOpt, and it's 100% free and open-source. Until now, building agent workflows has been pure

→ View original post on X — @datachaz,

28 May 2026
Dynamo Snapshot: Fast Inference Startup on Kubernetes

By

@nvidiaai

–

28 May 2026 1h56

Introducing Dynamo Snapshot, our approach for fast startup for inference workloads on Kubernetes, which reduces startup time from minutes to under 5 seconds. In production inference deployments demand fluctuates over time. Cold-starting inference workloads can take minutes,

→ View original post on X — @nvidiaai,

28 May 2026
WordPress categories covering AI topics

By

@datachaz

–

27 May 2026 22h58

Web designers after reading this: https://t.co/yONuEtjT8L pic.twitter.com/p3y16ldruL
— Charly Wargnier (@DataChaz) 27 mai 2026

Web designers after reading this:

→ Voir le post original sur X — @datachaz,

27 May 2026
SambaNova Partners on Sovereign AI Cloud for Australia

By

@sambanovaai

–

27 May 2026 19h00

Proud to partner with SCX as they deliver the world's 1st RDU-based sovereign AI cloud to Australia.

Designed for enterprises & government agencies that demand performance, compliance, and absolute data sovereignty.

Learn more ⬇️https://t.co/00T0eD3WtP pic.twitter.com/K27mYcuojJ
— SambaNova (@SambaNovaAI) 27 mai 2026

Proud to partner with SCX as they deliver the world's 1st RDU-based sovereign AI cloud to Australia. Designed for enterprises & government agencies that demand performance, compliance, and absolute data sovereignty. Learn more https://
sambanova.ai/solutions/sout
herncrossai?utm_source=x&utm_medium=organic&utm_content=customer-partner
…

→ View original post on X — @sambanovaai,

27 May 2026
Debate over Token Allocation as AI Becomes Essential for Coding

By

@emollick

–

27 May 2026 16h20

The fact that tokens went from something no one even put in a budget line a year ago to an absolute requirement for coding now is the cause of handwringing, not that AI is not turning out to be useful No one knows who should get tokens, how much they should get & how to control

→ View original post on X — @emollick,

27 May 2026

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