Rabbit just rolled out LAM playground, a cross-platform agent system for its R1 pocket companion. Users can now teach the multi-modal agent to navigate websites via the Rabbithole cloud portal, performing tasks like searching Google and adding items to Amazon carts. It still takes around 45 seconds and trips over CAPTCHAs, but it finally delivers on Rabbit's original core pitch.
Airtable just rolled out new enterprise AI capabilities to evolve beyond a spreadsheet tool into a full-scale AI platform. The update introduces App Library for standardized AI applications and HyperDB to handle over 100M records, moving past simple chatbots into parallel workflow automation.
Amazon just launched Project Amelia, an AI business assistant built on AWS Bedrock to help sellers manage and grow their stores. Beta users in the U.S. can query sales metrics and customer traffic in plain English, with automated troubleshooting and task execution coming down the road.
HubSpot just rolled out Breeze, a native AI suite embedded directly into its customer platform. It features an AI Copilot for sales, marketing, and service, four autonomous agents, and data enrichment backed by over 200 million company profiles. Why it matters: Instead of toggling between standalone AI tools, teams can now automate tedious tasks like lead scoring and video-to-campaign repurposing inside their existing CRM.
Coinbase CEO Brian Armstrong just revealed the company's first AI-to-AI crypto transaction, where an autonomous bot used tokens to purchase learning data from another bot. Armstrong pointed out that while AI agents can't open traditional bank accounts, giving them crypto wallets on Base lets them instantly pay and participate in the real economy.
Researchers at UIUC just combined AI closed-loop experimentation with automated synthesis to create light-harvesting molecules that are four times more photostable. Instead of stopping at the algorithm's picks, the team successfully extracted the chemical rules driving the decisions, effectively turning the AI black box into actionable scientific insight.
Alibaba just released Qwen2-VL, open-sourcing the 2B and 7B models under Apache 2.0 while offering its flagship 72B version via API. The model handles dynamic resolutions, parses 20-minute videos, and powers mobile device agents. Why it matters: The 72B flagship rivals GPT-4o on visual benchmarks, bringing top-tier multimodal power to open weights and developers.
OpenAI is reportedly developing a reasoning-focused AI codenamed Strawberry, which tackles unseen math and coding problems and has already been shown to U.S. national security officials. While a distilled version could arrive in ChatGPT as early as this fall, OpenAI is actively using Strawberry to generate synthetic training data for Orion, its true GPT-4 successor.
NVIDIA just released NVIDIA Blueprints to help businesses build and deploy custom generative AI workflows. Each blueprint packages reference code, documentation, and Helm charts alongside NIM microservices, starting with customer service digital humans, drug discovery, and multimodal PDF extraction. It basically lets enterprise developers skip the plumbing and turn internal data into self-improving AI workflows right away.
Best Buy just introduced an AI-powered delivery tracking system nationwide to eliminate vague delivery windows. The tool crunches real-time traffic and predictive demand to optimize driver routes and give shoppers live, minute-by-minute ETAs. It is a welcome upgrade for big-ticket electronics requiring in-person drop-offs, though data integration across supply chains remains a hurdle.
Nous Research just introduced Hermes 3, its latest open model series available in 8B, 70B, and 405B parameter sizes. Trained alongside Lambda, the upgrade targets sharper roleplaying, agentic workflows, reliable function calling, and long-context coherence. It offers developers a powerful, highly steerable generalist model right out of the box.
Anthropic just rolled out prompt caching on the Anthropic API for Claude 3.5 Sonnet and other models. By storing frequently used context between calls, developers can slash input costs by up to 90% and cut latency by up to 85% on long prompts. It is a massive win for coding assistants, deep agent loops, and chatting with whole books.
MultiOn just introduced Agent Q, a research breakthrough bringing planning and autonomous self-healing capabilities to AI agents. It delivers a 340% performance improvement over LLaMA 3's zero-shot baseline, designed to keep agents on track even when workflows break down.
OpenAI just launched SWE-bench Verified, a human-validated subset of the popular software engineering benchmark built with its original authors. Working with 93 professional Python developers, the team filtered out ambiguous issue descriptions and unfair unit tests to curate 500 reliable tasks. Why it matters: Coding benchmarks often penalize correct code with broken unit tests, and this cleaner test set gives the industry a far more accurate gauge of real-world agent capabilities.
Sakana AI just unveiled The AI Scientist, a fully automated pipeline that handles the entire research lifecycle independently. Starting from a code template, it brainstorms hypotheses, runs experiments, plots figures, writes full LaTeX manuscripts, and even peer-reviews them for about $15 per paper with open-source code on GitHub.
Cosine just launched Genie, an autonomous AI software engineer that scored 30% on the SWE-Bench benchmark, more than doubling Devin's 13.8%. Built on a fine-tuned, long-output variant of OpenAI's GPT-4o, Genie is trained to emulate human reasoning across 15 programming languages. Why it matters: The race for an autonomous artificial colleague just got a lot faster.
OpenAI just rolled out Structured Outputs in its API, guaranteeing that model responses strictly follow developer-provided JSON Schemas with a perfect 100% evaluation score on the new gpt-4o checkpoint. Using constrained decoding, it eliminates messy prompt hacking and retry loops for developers. Why it matters: building reliable agents and data pipelines just became significantly less headache-inducing.
The US Air Force is funding five mystery companies to develop autonomous AI brains for its Collaborative Combat Aircraft (CCA) fleet, keeping the roster classified to block prying eyes. The software will eventually fly drones built by General Atomics and Anduril, with a final production bake-off scheduled for 2026.
Meta just rolled out AI Studio in the US, allowing anyone to build and discover custom AI characters powered by Llama 3.1. Creators can set up AI extensions of themselves to answer common questions and engage with followers. However, Meta later noted it has halted new character creation as it shifts focus to Muse Spark.
OpenAI just launched GPT-4o mini, a powerful small model priced at 15 cents per million input tokens. It scores 82% on MMLU and outperforms rivals like Gemini Flash and Claude Haiku in math and coding tasks. Why it matters: Frontier-level intelligence just became dramatically cheaper to chain, parallelize, and scale.
