AI Tools & Frameworks Directory

Liquid AI's LFM2.5-8B-A1B activates 1.5B of 8.3B parameters, offering 128K context, reasoning, and tool calling on consumer hardware. The post Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters appeared first on MarkTechPost.

Anthropic's Claude Opus 4.8 brings dynamic workflows and cheaper fast mode to Claude Code, now in research preview The post Anthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagents appeared first on MarkTechPost.

As AI agents move from experiments to production, AWS, Cloudflare, and others are redesigning cloud infrastructure for a future dominated by machine-generated internet traffic instead of human users.

Asana will incorporate Stack AI into its growing suite of AI workflow tools.

The new Opus model comes with a tool called Dynamic Workflows, for coordinating swarms of subagents.

With $25 million investment from the Commonwealth of Massachusetts, MIT to build a new shared-use facility to serve as a statewide quantum toolbox.

Sesame’s new iOS app brings its conversational AI agents to the public, offering more natural back-and-forth interactions designed to feel less like traditional chatbots and more like talking to a person.

Most GTM teams deploy AI where it's most visible. The question worth asking first: is that actually where it's most ready?

The update signals YouTube's ongoing efforts to compete with other platforms for podcast audiences.

Visa said that over 1,000 employees has been using Replit for prototyping and development

Modern AI agents built on top of large language models (LLMs) are designed to run continuously.

This is the seventh article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, part four here, part five here, and part six here. This is the latest article in my Radar series on AI-driven development and agentic engineering, and I have ...

Built on top of the open-source Hermes project, Vertu's new foldable combines AI-agent workflows, enterprise integrations, and ultra-premium luxury finishes.

DiffusionBlocks converts residual networks into independently trainable blocks by interpreting layer updates as reverse diffusion denoising steps. The post Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modul...

The post There is no Copilot without the pilots, says Slovenian insurance executive appeared first on Source.

Google I/O made it official: AI-generated answers are now front and center in search, and most brands have almost no visibility into how AI is describing them to their customers. For anyone who has spent years building a strategy around 10 blue links, the rules just changed in a pretty significant w...

NVIDIA researchers have introduced Polar, a rollout framework that trains language agents using reinforcement learning without modifying their agent harnesses. Polar places a model API proxy between the harness and the inference server, capturing token-level interactions and reconstructing trainer-r...

Last week, we had our first Infrastructure & Ops superstream of 2026, Platform Engineering in the Age of AI. Our speakers explored a range of topics focused on supporting new AI workloads, each with unique infrastructure needs, unpredictable costs, and novel security concerns. Google Cloud’s Abdel S...

Today is the final day to apply or nominate a startup for Startup Battlefield 200. Once the clock strikes 11:59 p.m. PT, the window closes on your chance to compete for $100,000 in equity-free funding, gain global visibility, connect directly with investors, and launch on the TechCrunch Disrupt stag...

ElevenLabs' new model will let users regenerate a section of a song without affecting rest of the track

The database provider is eyeing a public debut within the next few years.

Robinhood will let users create a separate account with pre-loaded balance that an agent use to trade

When large language models, or LLMs for short, produce outputs, several criteria are at stake, including not only overall response relevance but also coherence and creativity.

The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. The default behavior of any AI coding agent is to take the shortest path to “done.” Ask for a feature and it writes the feature. It doesn’t ask whether you have a spec, write a te...