Cainew

ostris/krea2_turbo_style_reference is a fast, style-reference-based model or tool designed for efficient style transfer or image generation. It provides rapid processing capabilities for applying visual styles based on reference inputs.

More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.

Timbal helps teams turn AI prototypes into production systems. Build agents and workflows, connect them to your data, design interfaces, deploy, monitor, evaluate, and govern everything from one platform. Instead of assembling separate tools for retrieval, orchestration, UI, observability, and evals, Timbal gives you one core for shipping reliable AI applications.

Auriko treats LLM providers as trading venues and arbitrages the spread. Built by ex-quant traders, Auriko’s cost-arbitrage engine calibrates to each user’s request patterns and selects optimized inference paths based on token price, cache behavior, latency, reliability, and request quality. Auriko benchmarks show average 30% cost reduction against industry peers and direct providers. See the source: https://www.auriko.ai/reports/llm-cost-arbitrage

One API key to 300+ models, hosted in the EU. Drop-in compatible with the OpenAI, Anthropic, and Google SDKs: switching is a base URL change. What's different: ~half our 30+ providers run inference in Europe, one EU sub-processor covers every model, no prompts stored by default. Add the control plane for routing, PII masking, per-team spend caps, and audit trails. Agent-native: paste one line into Claude Code or Cursor and it sets up Opper for you. No markup on tokens, 3% fee on credit top-ups.

Toyo is a personal AI assistant that lives in your messages and can call you on the phone. Talk to it like you'd message a coworker. Toyo triages your inbox, preps you for calls, can help keep your projects moving, and pulls answers and context from your company's tools. It works over text and voice: Have it call you when you want to get updates or just talk through some work. It lives in iMessage, so there's no new apps, and no new tabs to manage.

Lispr is a free voice dictation and translation app for Mac and Windows. Hold a key, speak, release. Your words land in whatever app your cursor is in. Speak in ~99 languages and switch mid-sentence. Hold your translation key as well, and the translation lands instead, in any of 32 languages. Median latency 346 ms. The mic is off until you hold the key, and we never store your audio. No account, no model download, free.

GPT-Live is OpenAI’s new full-duplex voice model for ChatGPT Voice. It can listen and speak at the same time, handle pauses and interruptions more naturally, and delegate harder search or reasoning work to frontier models in the background.

FableCut is a lightweight browser-based video editor that can be controlled by AI agents, requiring zero external dependencies for deployment.

Coasty is a computer use agent that operates real desktop software end to end. Started with healthcare prior auth, automating payer portals and legacy EHRs, and data removal for data privacy but now we're expanding into insurance and tax & accounting. Coasty does that work autonomously, with human takeover and full audit trails. Independently verified at 82.81% on OSWorld Verified (359 tasks), near the top of the leaderboard. No APIs required. If software has a screen, Coasty can run it.

SEO software has looked the same for 20 years: log in, open dashboards, build reports, find answers. We think it's time for a new interface. SEORCE lets you chat with your SEO, GEO, Analytics, Backlinks and AI Visibility data directly on WhatsApp. Ask complex questions in plain English and get instant, actionable answers from your live data. Stop searching dashboards. Just ask.

Point your AI agent at Gate. Inherit prompt-injection defense, secret scanning, and a verifiable audit trail. Gate includes prompt compression and caching so you can reduce token usage by 20-40% without changing model output. In AI security benchmarks, Gate ranks #1 across 16 public prompt-injection datasets. Keep your Claude or ChatGPT subscriptions and route them through Gate, or choose from 100+ models pay-as-you-go. Setup is easy: no code changes with our desktop app.

Muse Spark 1.1 is an updated creative AI tool that helps users generate and refine ideas across various creative domains.

AI tools can now transform unstructured document collections into organized, searchable knowledge bases, making information discovery and management significantly easier.

Introducing a way to reflect on how you use Claude

ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work.

This work addresses the challenge of accurately evaluating coding AI systems by distinguishing meaningful performance improvements from measurement noise.

A comparative study had Grok 4.5, GPT-5.5, and Claude build identical applications to evaluate and compare their respective capabilities and approaches.

Researchers at Databricks evaluated coding agents on their massive multi-million line codebase to benchmark real-world performance and reliability.

MIRA introduces multiplayer interactive world models trained using Rocket League gameplay data to advance AI understanding of competitive multi-agent environments.

Linear attention models allow a fixed state size and a fixed amount of compute per token. However, due to their limited state size, linear attention models fall behind in long-context recall compared to softmax-attention-based transformer architectures. Increasing the state size of linear attention improves recall performance but at the cost of higher FLOPs. In this work, we introduce Sparse Delta Memory (SDM), an architecture that scales the hidden state of gated linear RNNs to orders of magnit...

Structure-property relationships are foundational to biology, chemistry and materials science, where function, reactivity and physical response emerge from spatial, chemical and periodic organization. Mechanistically explaining these relationships requires interpreting structural evidence through scientific principles and physical constraints, from stereochemistry and bonding to symmetry, energetics and periodic order. However, applying artificial intelligence to this process presents a joint ch...

Mainstream Vision-Language-Action (VLA) models predict actions primarily from the current observation under a Markovian assumption, thus struggling with long-horizon, temporally dependent tasks. Existing memory-augmented VLAs either expand the observation window or retrieve history from the memory bank as auxiliary policy-side context. However, they leave memory outside the native latent embedding space of VLA reasoning, preventing historical experience from being fluidly interleaved with multim...

Despite the recent promise in robot control, video generative models suffer from a domain mismatch due to their primary focus on content creation. For example, their design inherently prioritizes visual fidelity and creativity over computational efficiency and physical realism. In this work, we present LingBot-Video, a DiT-based video pretraining paradigm specifically tailored for embodied intelligence. From the architecture perspective, we adopt the Mixture-of-Experts (MoE), instead of dense, f...

Reinforcement learning (RL) is becoming increasingly important for post-training large language models (LLMs). Previous RL pipelines for LLMs were mostly synchronous and batch-interleaved, which is inefficient for long-horizon agentic tasks. Recently, asynchronous RL has emerged as a more efficient alternative by updating the model as rollouts arrive. However, existing asynchronous RL systems often emphasize throughput, while leaving training stability and task effectiveness largely underexplore...

We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades. (1) Our model achieves an unbounded interaction horizon while maintaining consistent output quality, benefiting from a carefully crafted causal pretraining paradigm. (2) Through distilling a real-time variant from the base model, our system guarantees rapid response time, sufficient to drive 720p video streams at 60 fps. (3) Compared to the previous versio...

Ben Bernanke appointed to Anthropic’s Long-Term Benefit Trust

AI is fundamentally changing the economics of software rewrites by automating code refactoring and modernization tasks, reducing costs and time-to-completion.