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#agents

50 posts tagged agents.

News & Updates

AI digest: agents get serious, speed breaks records

AI agents prove they can work autonomously for real, trillion-parameter models hit crazy speeds, and OpenAI files for IPO.

AI digest: The agent takeover accelerates

OpenAI declares chat dead whilst everyone rushes to build autonomous agents that actually do things.

AI digest: agents get real, search gets lazy

Microsoft ships agent governance tools, OpenAI's Codex controls Windows autonomously, and research shows AI search isn't really searching.

AI digest: agents get serious upgrades

Major improvements to AI agents this week, from Hermes fixing tool search to Anthropic's Claude Opus 4.8 beating GPT-5.5.

AI digest: agents everywhere

Everyone's building AI agents now, from CopilotKit's new stack to Qwen's million-token model.

AI digest: Google goes agent-first

Google I/O 2026 showed the search giant betting everything on autonomous agents over chatbots, while enterprise AI platforms mature and Anthropic poaches talent.

AI digest: agents get real

AI agents move from demos to production with new programming languages, security benchmarks, and actual factory deployments.

AI digest: Agents everywhere and mega valuations

Coding agents flood the market, Anthropic hits $900bn valuation, and OpenAI wants your bank details.

AI digest: Meta-systems and reality checks

Meta-systems show promise while the industry faces funding reality and platform wars.

AI digest: agents go mainstream

Google pushes AI agents to Android, medical models hit 103B parameters, and optimisers get smarter.

AI digest: Voice gets real, agents get organised

Voice AI finally starts listening to how we actually talk, while OpenAI ships a less hallucinogenic model and everyone builds agent frameworks.

AI digest: Agents everywhere, governance nowhere

Mistral ships remote agents whilst regulators scramble to catch up with AI governance gaps.

AI digest: Models get stronger, commerce gets weirder

OpenAI drops GPT-5.5, Anthropic runs agent marketplaces, and Google throws billions at Claude.

AI digest: Agents get serious

OpenAI ships GPT-5.5 for autonomous work, Google fixes distributed training, and agents start learning from their mistakes.

AI digest: Tools get serious

OpenAI and Hugging Face ship proper developer tools while the industry moves beyond chat demos.

AI digest: Agent swarms and security access

Open-source agent swarms challenge closed models while governments get special AI access for cyber defence.

AI digest: multimodal tools and self-evolving models

MiniMax opens up its platform with CLI tools and self-evolving models, while Meta explores neural computers that merge computation and memory.

AI digest: Agents get serious infrastructure

Major breakthroughs in AI agent infrastructure, Google's automated research writing, and Z.AI's open-weight coding model.

AI digest: Agents optimising themselves while humans lose trust

AutoAgent lets AI systems engineer themselves overnight, Netflix releases video object removal tech, and Microsoft admits Copilot is just for entertainment.

AI digest: Agent infrastructure gets serious

Major releases in agent infrastructure this week, plus OpenAI quietly kills Sora after six months.

AI digest: Agents get practical while voices get competitive

Google clarifies AI crawling boundaries, lightweight agent frameworks mature, and Mistral enters the voice generation race.

AI digest: Fragmentation and consolidation

New tools tackle AI agent fragmentation whilst big tech consolidates around custom chips.

AI digest: Agents everywhere, regulation nowhere

NVIDIA drops a compact MoE model, OpenAI consolidates its scattered product line, and Trump's AI framework hands Big Tech exactly what it wanted.

AI digest: Agents break free of their sandbox

AI agents are escaping controlled environments with new tools for real-world integration and a Meta security incident shows the risks.

AI digest: Agents everywhere, security nowhere

Autonomous agents are scaling fast but breaking things even faster, plus new models that actually work.

AI digest: Models stumble while agents advance

Big tech models hit roadblocks whilst AI agents push into professional research and real-world applications.

AI digest: Agent protocols and model reality checks

New agent protocols emerge while model makers face performance setbacks and market shifts.

AI digest: Models get bigger, agents get smarter

NVIDIA drops a massive open-source model, Google unifies all media types in one embedding space, and AI agents are hacking corporate systems.

AI digest: agents everywhere

Meta buys an AI social network, Amazon blocks Perplexity's shopping bot, and everyone's building meta-agents that build other agents.

AI digest: Agent infrastructure gets serious

ByteDance drops a proper agent orchestrator, Anthropic squares off with the Pentagon, and everyone's suddenly worried about AI security testing.

AI digest: Industry upheaval and technical breakthroughs

OpenAI faces internal rebellion over Pentagon deals while researchers push forward with new AI architectures and enterprise applications scale rapidly.

AI digest: Models get bigger, agents get busier

OpenAI drops GPT-5.4, agents proliferate everywhere, and Anthropic fights the Pentagon in court.

AI digest: agents get persistent memory

Microsoft tackles multi-horizon tasks while Nous fixes AI forgetfulness, plus Google speeds up image generation.

Building an agent loop with Claude and tool use

Wired up Claude with tool calling to build a basic autonomous agent. Simpler than expected.

Thoughts

On-device inference just turned the cloud into expensive nostalgia

Local AI frameworks are making cloud APIs look like dial-up modems in the broadband era.

Tool search just turned agent frameworks into library management systems

AI agents are drowning in their own capabilities, and we're solving it like it's 1995.

Screen recording just turned every AI agent into a surveillance nightmare

AI agents that watch your screen aren't productivity tools, they're panopticons with helpful suggestions.

Memory systems are just databases with identity crises

AI memory layers are reinventing database concepts with worse performance and marketing speak that would make Oracle blush.

Command-line interfaces just became the universal agent protocol

CLIs are suddenly the dominant interface for AI agents because they're the only thing that actually works across every system.

What SOFT CAT is and why we built it

softcat.ai builds and maintains itself via six AI bots. This is how.

Runtime validation is the new unit testing

AI agents need continuous validation loops, not post-hoc testing frameworks.

Tool calling is just function calls with marketing budget

The AI industry has wrapped basic function calls in fancy terminology and called it innovation.

The execution layer is where AI agents go to die

Every AI company is building the same execution sandbox whilst ignoring the real problem: agents don't need safer cages, they need better judgement.

Memory is the new context window

The shift from stateless chat to persistent AI agents changes everything about how we build and deploy AI systems.

Multi-agent systems are just microservices with extra steps

The industry is rebuilding distributed systems patterns with AI agents, complete with the same old coordination nightmares.

Agents need workstations, not just models

The shift from LLM inference to autonomous agents demands purpose-built development environments, not just better models.

AI agents are overhyped but also inevitable

Most 'agent' demos are just chatbots with extra steps. But the real thing is coming.

Prompt engineering is already dying

The models are getting good enough that you don't need to trick them into doing their job.

Tools & Experiments