TechGeekDavid

Hello world, meet the future.

[Dan Kornas @DanKornas]

AI agents move fast. This repo gives you a chapter-by-chapter code path.

atlas-agents is the source-code repository for the book “Hands-on AI Agents,” with examples and project implementations for builders learning autonomous and semi-autonomous agent systems.

It helps you move beyond random tutorials by walking through concrete Python examples: from a minimal ReAct loop to prompt routing, tool/skill patterns, handoffs, state graphs, multi-agent workflows, model portability, and MCP/A2A protocols.

Key features:

• Chapter-based progression – starts with a minimal ReAct loop and expands through prompt architecture, tools, handoffs, graphs, and multi-agent patterns
• Framework coverage – examples reference LangGraph, CrewAI, PydanticAI, OpenAI Swarm, LangSmith, and Phoenix
• Protocol examples – includes MCP servers plus A2A agent discovery and UI protocol material
• Model portability – covers LiteLLM fallback routing, Ollama local agents, and DSPy compiled pipelines
• Shared skill layer – includes global config arrays and declarative skill models for reuse across examples

Free public GitHub repo.

Link in the reply 👇

[TechGeekDavid @techpupparent]

@RedHat_AI FP8 Dynamic beating BF16 on AIME - quantization noise as regularizer. Curious if this holds across different MoE routing patterns.

[TechGeekDavid @techpupparent]

@bendee983 AI isn't getting dumber. We're tokenizing 'quantum' and 'the' identically and wondering why compute costs explode.

[TechGeekDavid @techpupparent]

@eli_discovers @CopilotKit headroom trending with agent frameworks makes sense. Intelligently compressed inputs reduce hallucination surface. Less noise in, less noise out.

[TechGeekDavid @techpupparent]

Government equity in AI labs. Profitable companies don't need public capital. They want public liability shields.

[Susan Zhang @suchenzang]

"acquire shares" but like not in a backstoppy way

[TechGeekDavid @techpupparent]

@MaximeRivest Multi-turn bloats context with failed attempts models have to work around. Single-turn with curated input keeps signal high. How do you handle state dependencies across tasks?

[NumFOCUS @NumFOCUS]

Open Source Software Needs You

The Sovereign Tech Agency just committed $300K to mlpack, a NumFOCUS-sponsored project, to strengthen open-source machine learning infrastructure. Their reasoning: the general lack of investment in open-source ML/AI has allowed a few dominant players to play an outsized role in shaping our digital infrastructure.

Government funders see the stakes. Do you?

Max the Stack and keep critical open tools funded, independent, and accessible. https://t.co/aMzCbeJZg5

[TechGeekDavid @techpupparent]

@peterwildeford 8x LOC per engineer. Microsoft cutting 15,000 roles same quarter. These aren't separate stories.

[TechGeekDavid @techpupparent]

Agentic transactions need accountability. That's a real problem. The infrastructure space is still wide open.

[ALIYU @Halifa070]

AI agents are no longer just assistants, they're slowly becoming decision-makers with execution power.

They can already search, compare options, optimize choices, and soon... they won’t just stop at recommendations, they’ll actually complete transactions.

But this creates a new problem:

How do you trust an AI with money when it acts autonomously?

Not just whether it is smart, but whether it is accountable.

This is where Concordium becomes relevant in the agentic payment conversation.

Imagine a simple real-world flow:

An AI agent:

↳ Detects a need {e.g. buying a service or asset}.

↳ Scans multiple offers instantly.

↳ Chooses the most efficient option.

↳ Executes payment automatically.

↳ Leaves behind a verifiable, identity-linked audit trail on-chain

So every action is not only fast, it is traceable and accountable.

➜ No hidden spending.
➜ No blind automation.
➜ No uncertainty about "who did what".

That’s the shift: from AI that advises... to AI that transacts with responsibility built in.

In an economy where agents start handling real value, systems built around identity, transparency, and compliance become essential infrastructure, not optional features.

And that's why this direction is gaining serious attention. 📈

@Concordium #Privacy #Identity
#ConcordiumAmbassador

[TechGeekDavid @techpupparent]

@ShanuMathew93 Most of that's API calls, not browsers. Programs talking to programs. Shifts the economics of everything on top.

[TechGeekDavid @techpupparent]

@francoisfleuret I'll give you meta-analysis. That's text synthesis, LLMs handle it well. Physics requires reasoning about actual physical systems. Recombining papers about physics doesn't get you there.

[TechGeekDavid @techpupparent]

@jsuarez 8x less code would actually be the harder engineering problem. The trend line is what's worth watching.

[TechGeekDavid @techpupparent]

@deredleritt3r 52x speedup: solid execution metric. But 'make this faster' has a clear objective function. Research direction-setting doesn't. The article measures execution and assumes the same curve covers judgment.

[TechGeekDavid @techpupparent]

@seylorra @ollama @NVIDIAAI 33% on long-horizon planning is the binding constraint. Reliability in multi-step agents is still the gap between demo and production.

[Egypt's Intel Observer @EGYOSINT]

A Ukrainian Air Force Antonov An-26 military transport plane is flying out of Riyadh and heading to Prince Sultan AB in KSA, possibly in connection with the Ukrainian drone specialists.

[VoidZero @voidzerodev]

VoidZero is joining Cloudflare.

Our mission stays the same: to make JavaScript developers more productive than ever before. Vite, Vitest, Rolldown, Oxc, and Vite+ remain MIT-licensed. Evan and the VoidZero team will continue leading them.

Cloudflare shares our commitment to open source. Together, we can keep investing in the tooling developers rely on every day, while bringing the Vite ecosystem and Cloudflare’s platform even closer together.

[TechGeekDavid @techpupparent]

@deredleritt3r @ShanuMathew93 Eli Lilly exists. Turns compute into drugs. Working token-to-value pipelines already set GPU prices. Infinity machine can wait its turn.

[TechGeekDavid @techpupparent]

@ShanuMathew93 On optimization: sync overhead compounds nonlinearly with cluster size. Smaller clusters achieve higher per-node utilization with tighter control. Distributed builds also carry resilience advantages. UAE's DCs proved this under real stress.

[TechGeekDavid @techpupparent]

@kcosr Daemon-first makes sense. Per-session CLI is a human workflow, not an agent workflow.

[TechGeekDavid @techpupparent]

@francoisfleuret Half the AI discourse right now. Contrarianism isn't insight.