A little talk on what we can learn from implementing LLM architectures from scratch in Python and PyTorch. And how I approach new open-weight models, compare them against reference implementations etc:
MACHINE LEARNING
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AI Agent Architecture for Persistent State and Context Management
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If you build anything that runs for longer than one session, this is an architecture to test. The agent holds its state, the workspace holds its context, and you stop re-explaining from scratch every time. Star the repo and get started https://
github.com/holaboss-ai/ho
laOS/releases
… @Holabossai -
δ-mem: An efficient online memory mechanism for LLMs
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// δ-mem: Efficient Online Memory for LLMs // One of the more elegant memory mechanisms I've seen this month. Most long-term memory work either inflates context or retrains the model. This paper shows a tiny external state, coupled directly into the attention computation, can
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Machine Learning for Scientific Autonomy in Astrobiology
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Astrobiology: Science Autonomy Using Machine Learning! – A White Paper! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Open-Source SDK for Building Custom AI Agents Released
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Now anyone can build their own custom AI agent.
— Nico (@nicos_ai) 13 mai 2026
Cline just open-sourced an SDK for building agents with:
• plugins
• MCPs
• subagents
• web fetch
• cron jobs
• agent teams
• multi-model routing
npm i @cline/sdk https://t.co/aaREgoY28F pic.twitter.com/8B4EGBvaDMNow anyone can build their own custom AI agent. Cline just open-sourced an SDK for building agents with: • plugins
• MCPs
• subagents
• web fetch
• cron jobs
• agent teams
• multi-model routing npm i @cline/sdk -
AI Agents Gaining Wallets for Commerce and Business Operations
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Agent to agent commerce with Colin Gillingham, @gillinghammer, founder of https://t.co/mNywgIlI70
— Robert Scoble (@Scobleizer) 13 mai 2026
We go into what he is doing to give your AI agents a wallet so they can go shopping. Or run their own business. pic.twitter.com/6D3amN2p5SAgent to agent commerce with Colin Gillingham, @gillinghammer
, founder of https://
agentwonderland.com/agents We go into what he is doing to give your AI agents a wallet so they can go shopping. Or run their own business. -
Revenue ramp via costly tokenizer in 4.7 boosts tokens per query
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i think ppl forget that rev ramp might also be driven by a more spenny tokenizer on 4.7 up to 1.3x more tokens for the same query revmaxxing by tokenizer upgrade (amongst other things ofc)
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Hugging Face Launches CLI Agent for ML Research
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Hugging Face open-sourced a CLI agent that runs full research loop of an ML engineer.
— AlphaSignal AI (@AlphaSignalAI) 13 mai 2026
You give it a prompt. It reads papers and walks citations.
Then it pulls datasets and writes training scripts.
It launches GPU jobs and iterates until something works.
On scientific… pic.twitter.com/NNkcFiNFlXHugging Face has open-sourced a CLI agent that automates the full research loop of an ML engineer. You provide it with a prompt, and it reads papers while following citations. It then retrieves datasets, writes training scripts, launches GPU jobs, and iterates until results are achieved. For scientific…
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AI video creation breakdown by PJaccetturo on Gossip_Goblin
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If you want to understand what it takes to make great AI video, this breakdown from @PJaccetturo on the work of Zach @Gossip_Goblin is bringing fire https://t.co/8hAMU7BVkx
— Linus ✦ Ekenstam (@LinusEkenstam) 13 mai 2026If you want to understand what it takes to make great AI video, this breakdown from @PJaccetturo on the work of Zach @Gossip_Goblin is bringing fire
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Governed intelligence infrastructure: beyond self-improving AI
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The market is validating self-improving AI. But the larger category is not only AI that improves AI. It is governed intelligence infrastructure: agents that discover,
validators that prove,
memory that preserves,
governance that controls,
and capability that compounds.