arXiv:2608.05159v1 Announce Type: new Abstract: Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos and process fragmentation. Enterprises have invested considerable financial and material resources in building these applications, however, effectively leveraging and orchestrating them remains a formidable challenge. Conventional approaches to enterprise application integration, encompassing middleware architectures such as Enterprise Service Bus (ESB), API gateway infrastructures, and Robotic Process Automation (RPA), suffer from inherent limitations like high architectural coupling, escalating operation and maintenance costs, and limited intelligence capabilities. This paper proposes Agenti…

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Blog Pioneer GLiNER Discord Back How to fine-tune open weights models: Model selection, data curation, fine-tuning strategies, and evals How to fine-tune open weights models: Model selection, data curation, fine-tuning…

Liquid AI released LFM2.5-2.6B, an agentic model that plans, calls tools, and completes multi-step tasks entirely on-device. The 2.69B parameter model pairs 22 double-gated short convolution blocks with 8 GQA blocks across 30 layers, handles 131,072 tokens of context, and decodes at 220 tokens/s on an M5 Max in under 2.5 GB. Open weights ship in GGUF, MLX, and ONNX. The post Liquid AI Releases LFM2.5-2.6B: An On-Device Agentic Model With 128K Context, Tool Calling, And Open Weights appeared first on MarkTechPost.

On Wednesday, the Labor government announced environmental and energy safeguards on new datacentres in Australia. Our political editor, Tom McIlroy, speaks to the assistant minister for science, technology and the digital economy, Dr Andrew Charlton, about the government’s push for national standards on datacentres. The former Rudd staffer and economist speaks about having his own book scraped by Anthropic, low public trust in AI, and how the government wants to use regulation to balance risk and opportunity Continue reading...

Uncover Roads - A Travel Decision Engine

In this week's Thursday Thinkpiece we take a look at the recent EU AI Act and how it's changing the way the internet and businesses market themselves in this ever changing climate. There’s a place where creativity meets…

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How Goldman Sachs Is Using Agentic AI For Software Engineering At Scale ByBernard Marr, Contributor. Aug 06, 2026, 01:17am EDT Summary Goldman Sachs has pioneered the use of agentic AI, deploying virtual software engine…

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Krowoc — your agent, in the cloud Kimi K2.6ClaudeGLM 5.2DeepSeek V4GPTQwenOpen weightsYour keysYour rulesKimi K2.6ClaudeGLM 5.2DeepSeek V4GPTQwenOpen weightsYour keysYour rules The product Real app. Real agent. Really r…

LOUISIANA New Orleans will use AI to answer 911 calls instead of a human Presley Bo Tyler Shreveport Times July 28, 2026, 6:02 a.m. CT If you call 911 in New Orleans, you may hear the sound of an artificial intelligence…

Trace-native CI/CD for AI agents Production failures become regression tests. Tracely grades every agent trace as it lands, clusters the failures into issues, freezes the bad runs into hermetic replayable cases — and bl…

Trump’s AI Framework Is So Bad They Won’t Show You What’s In It | Techdirt Trump’s AI Framework Is So Bad They Won’t Show You What’s In It Overhype Thu, Aug 6th 2026 03:27pm - Mike Masnick For a while now we’ve been moc…

Learning’s Hard. We Make it Easier A first-of-its-kind personalized learning experience that thinks with you rather than for you Start Free Try the Demo sin 2θ = 2 sin θ cos θ y = ax² + bx + c tan θ = sin θ⁄cos θ m = Δy…

Filtered vector search breaks when metadata filters turn a healthy nearest-neighbor graph into scattered islands. HNSW’s m parameter controls how many links each point gets. At Qdrant’s default m=16, the one-million-point collection benchmarked below averaged about 21 links per node on layer 0. Filter out 96% of the points and fewer than one link per node survives on average, so traversal can get stranded before it reaches the true nearest matches.

Modern Large Language Models achieve impressive reasoning capabilities with long Chain of Thoughts, but they incur substantial computational cost during inference, and this motivates techniques to improve the performance-cost ratio. Among these techniques, Speculative Decoding accelerates inference by employing a fast but inaccurate draft model to auto-regressively propose tokens, which are then verified in parallel by a more capable target model. However, due to unnecessary rejections caused by token mismatches in semantically equivalent steps, traditional token-level Speculative Decoding…

Large Language Models (LLMs) have achieved state-of-the-art performance on a broad range of Natural Language Processing (NLP) tasks, including document processing and code generation. Autoregressive Language Models (ARMs), which generate tokens sequentially conditioned on all previous tokens, have been the predominant paradigm for LLMs. While these models have achieved high accuracy across a range of downstream tasks, they exhibit low arithmetic intensity due to the inherent sequential dependency in next-token prediction. Recently, Diffusion Language Models (DLMs) have emerged as a promising…

Continuous diffusion and flow matching models could represent a powerful alternative to autoregressive approaches for language modelling (LM), as they unlock a host of advantages currently reserved for continuous modalities, including accelerated sampling and tilting. Recently, several works have demonstrated the possibility of generating discrete data continuously by a simple flow matching process between a Gaussian and the one-hot encoded data distribution. They have further shown the feasibility of accelerated sampling via Categorical Flow Maps (CFMs), resulting in competitive sample…

Release: datasette-auth-tokens 0.4a13 Upgraded for compatibility with `sqlite-utils 4. Tags: datasette

Intuitize Incognito mode Model Bring me a project. Let's make it better. Pending... Our mission We’re making Intuitize’s AI lighter on the planet—cutting waste carefully without trading away safety, quality, or usefulne…

Zeke Hausfather Aug 05, 2026 AI energy use is a huge and controversial topic at the moment. Credible estimates have AI data centers accounting for around 12% US electricity use by 2030. But at the same time consumers ha…

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Give your AI the keys to your actual business | GreatArrow.ai Skip to content Loading page Open beta - feedback welcome Your AI can talk about your work. It can’t touch it. Great Arrow gives Claude, ChatGPT, Cursor, and…

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Part of what makes AI agents so useful is their ability to interact with the external world by running tools. But these tool calls are also the source of the biggest risks when it comes to making agents safe to use. The…

Credit: Canva The AI race spent two years being about models. This week it moved to the plumbing. On the eve of GPT-5’s first birthday, OpenAI and four rivals published Agent Plugins, an open standard that lets a single…

Every year now somebody ships new silicon built for inference. Cerebras put the weights on a wafer, Groq built the LPU, SambaNova built the RDU, and all three of them are real machines that move tokens fast. I like that…

As organizations move beyond single-prompt AI interactions, agentic workflows are...

Tool calling is the ability of an AI model to interact with external tools, APIs,...