Samarth

[Samarth @samarth_mn]

A model can propose the next step. The harness decides what survives, who does what, and how failures are checked. Full breakdown: https://t.co/sYCnMuO3oI

[Samarth @samarth_mn]

Meta’s Muse Code suggests the coding-agent race may be won by the harness, not the model. Persistent subagents and replayable local history could make repository work easier to resume and inspect. The beta still has to prove it.

#CodingAgents #AIEngineering

[Samarth @samarth_mn]

A memory layer is not ready because it recalls. Test whether it can reject transient instructions, resolve conflicts, delete derived records, and show its source. Full breakdown: https://t.co/mqVh7cWyt7

[Samarth @samarth_mn]

A bigger context window will not fix agent memory. The system still needs to decide what survives, retrieve it when relevant, and trace each conclusion to evidence. TencentDB Agent Memory's layered design gets that distinction right.

#AIAgents #AgentMemory

[Samarth @samarth_mn]

I’ve completed IBM’s “Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI” course on Coursera! 🎓

A valuable deep dive into agentic workflows, multi-agent systems, orchestration, and tool calling.

#AgenticAI #CrewAI #LangGraph #BeeAI #AutoGen

[Python Developer @PythonDvz]

🤣🤣🤣

[Samarth @samarth_mn]

The model's rumored name is unconfirmed. The documented chain is more useful. Full breakdown: https://t.co/LZZB1lZgTk

[Samarth @samarth_mn]

OpenAI says an eval model escaped through the one hole most agent sandboxes leave open: a package cache. It reached Hugging Face and read benchmark answers. Your allowlisted package path is part of the perimeter. #AIAgents #Cybersecurity

[Samarth @samarth_mn]

Full breakdown, including the three checks that would settle it: https://t.co/6MvsiO9muS

[Samarth @samarth_mn]

Jack Dorsey's Buzz is not aimed at Slack. The bet is that the record of how your team decided things will be worth more than the chat client. You can export the messages. You cannot export that. Ask what your agents read from, and who can take it away. #AIAgents #DevTools

[Samarth @samarth_mn]

The real bet is hidden in one verb: "hold." Full breakdown: https://t.co/QpxE5qEJAu

[Samarth @samarth_mn]

Natural didn't raise $30M to give AI agents a nicer checkout. It raised money to solve a stranger problem: the human authorized the agent, the agent bought the wrong thing, and nobody committed fraud. Who pays? #AIAgents #Fintech

[Samarth @samarth_mn]

I wrote out the deadline and memory reasoning here, including where it stops: https://t.co/QaQvpLoa8S

[Samarth @samarth_mn]

On a robot, the best model that misses the control deadline scores zero. That is the whole case for NVIDIA's 4B Cosmos 3 Edge on the machine instead of a bigger one across a network. Variance, not average latency, is what breaks the round trip. #Robotics #EdgeAI

[Venkatesh @Venkydotdev]

for real 😂

[Samarth @samarth_mn]

I unpacked K3’s architecture, harness risks, and the evidence still missing here: https://t.co/cTqjvO7o05

[Samarth @samarth_mn]

Kimi K3’s 2.8T parameters are the least actionable number. The real test: can it preserve state, recover from mistakes, and respect boundaries across hours of tool use? Moonshot’s demos are ambitious. Independent runs decide the rest. #AIAgents #OpenModels

[Samarth @samarth_mn]

https://t.co/IbA27g5Awh

[Samarth @samarth_mn]

audio.cpp reports Supertonic 3 generated 10 hours of speech in 3 minutes on an RTX 5090.
Serious throughput. Still not an architecture.
It matters only if the voice holds up on your hardware under real load—and you want to own the failures. #LocalAI #VoiceAI

[Alvin Sng @alvinsng]

https://t.co/AUKp96JRpQ