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Krea@krea_aiAI score36AIKrea has made Nano Banana 2.1 available on its platform, promising better prompt understanding, sharper edits, and stronger subject consistency. The model now supports generations up to 4K resolution.
Bryan Catanzaro@ctnzrAI score10AIAfter a recent ride in Waymo's Ojai vehicle, NVIDIA's Bryan Catanzaro agreed that the driving was jerky. He said braking was rougher even in easy situations like pulling over at the end of the ride. The interior was roomy, but he judged the ride quality poor.
Khazix@Khazix0918AI score32AIThe author spent two days building an internal enterprise platform on all Feishu data and a self-built MCP, replacing Feishu's native workbench to handle Vibe Coding app deployment, security, permissions, and app and skill circulation. A custom configuration interface is planned so employees can use their own Agents to modify their homepages and data pages.
Santiago@svpinoAI score34AIAmpersand lets developers connect an AI agent to a customer's Salesforce by configuring object and field mappings. The platform then handles API calls, authentication, token refreshes, and retries, which the post presents as a major advantage given the difficulty of managing multiple Salesforce accounts.
AIAt the Machine Earning AI Summit in San Francisco, Town co-founder Jean-Denis Greze said personal AI agent purchases will initially require human approval, with mistakes budgeted in like credit card fraud. Lead Bank CEO Jackie Reses raised liability questions, asking "If a model hallucinates, whose responsibility is that?" Chime co-founder Ryan King said AI agents will make switching banks easier, though regular people are not yet ready to let AI manage their money.
Microsoft@MicrosoftAI score8AIMicrosoft highlights AT&T data scientist Natalie Gilbert, who applies skepticism to AI by examining edge cases and making informed decisions rather than accepting AI outputs blindly. The post frames questioning as the basis for trustworthy AI, linking to a Microsoft feature titled "See you in the work."
Alexandr Wang@alexandr_wangAI score4AIMeta AI leader Alexandr Wang reacted to The Daily Show's segment featuring Jon Stewart talking with Meta's Muse AI agent, asking which corporate figure booked the appearance. The show's background description portrays Muse as an AI agent Stewart chats with in a joking, suspicious tone.
Joshua Achiam@jachiam0AI score26AIJoshua Achiam argues that many in Silicon Valley wrongly define success as controlling the largest share of matter and energy in the universe, a goal beyond human limits that can drive them toward successionism. He contends that success instead comes from inner lives, relationships, creativity, cooperation, and striving to overcome human limitations, which could make them less pessimistic.
Google Workspace@GoogleWorkspaceAI score8AIGoogle's productivity advisor Laura Mae Martin explains how Workspace Studio and Gemini can lighten users' workloads by reducing routine tasks. The post promotes a Google article on the topic but gives no specific features, figures, or availability details.
Dongxi NLP@dongxi_nlpAI score34AIMistral AI has released Mistral Large 4, a model nicknamed "Le Chonk," according to a post by Dongxi NLP. The post also highlights "sovereign AI" as a keyword, tying the release to the theme of national or independent AI capability. No specifications, benchmarks, or pricing are given in the post itself.
Google Flow@FlowbyGoogleAI score6AIGoogle Flow's X account shares a link to watch a full documentary on YouTube. The post provides no further details about the film's subject or content.
Google Flow@FlowbyGoogleAI score20AIGoogle Flow says it partnered with Divine to create the music video for "Tequila Dance," framing the project as a showcase of how technology can amplify human expression. The post provides no further details about the tools or production process used.
👩💻 Paige Bailey@DynamicWebPaigeAI score60AIGoogle's Nano Banana 2.1, model gemini-nano-banana-2.1, is now available and is said to outperform the previous Pro model at about a quarter of the price, $0.034 per image versus $0.134. The quoted post lists improved instruction following, better in-image text rendering, grounding with Google Image Search, and up to 5 characters of consistency plus 14 reference images. It is available in Google AI Studio, the Gemini API, Google Cloud, the Gemini app, and Flow. The author's own post is a playful reaction praising its design ability and shows a generated vegan basketball food truck poster.
AIMicrosoft Research podcast host Chad Atalla interviews Jennifer Neville, a partner research manager at Microsoft, about her path into AI and her work on how evaluation exposes surprising failures in models tested beyond traditional benchmarks. The conversation also covers practical guidance for working with current AI systems and why examining underlying data matters when results defy expectations.
Unsloth AI@UnslothAIAI score62AIGoogle released EmbeddingGemma 2, a 740M-parameter open embedding model under Apache 2.0 that combines a 270M text model with vision (170M) and audio (300M) encoders. The 270M text model can run locally with 0.5GB of RAM, and the full multimodal model with 1GB, and Unsloth provides GGUF files and fine-tuning support.
SGLang@sgl_projectAI score46AISGLang now supports EmbeddingGemma 2 from Google DeepMind on day zero. The multimodal embedding model maps text, code, images, video, and audio into one shared 768d space, with 8K context and 100+ languages. Its modular encoders range from a 270M text-only footprint to 740M for all modalities, with Matryoshka embeddings.
Google@GoogleAI score38AIGoogle has made EmbeddingGemma 2 available to download on Hugging Face and Kaggle. Availability in the Gemini Enterprise Agent Platform Model Garden is coming soon.
Google@GoogleAI score43AIGoogle's EmbeddingGemma 2 is a 740M-parameter embedding model that outperforms some models more than twice its size while using about 191MB to 567MB of active RAM. It offers an 8K context window, 4x larger than the first generation, and can process up to 5.5 minutes of audio, 29 images, or 58 video frames in one pass.
Google@GoogleAI score44AIGoogle says EmbeddingGemma 2, paired with Gemma 4, enables efficient on-device retrieval-augmented generation with a lower memory footprint. In this setup, EmbeddingGemma 2 retrieves local files and Gemma 4 reasons over them to produce grounded answers while keeping data private.
Thariq@trq212AI score16AIThariq argues that working at a higher level of abstraction has always required understanding the levels beneath it. He says coding agents do not change this requirement.
Tibo@thsottiauxAI score23AICodex now offers an "Approve for me" permission mode, which automatically reviews actions instead of requiring manual approval. To enable it, open the permissions menu below the composer and select "Approve for me."
Suno@sunoAI score13AISuno announced a music-making event with students at Seoul Institute of the Arts. The post gives no further details about the program, participants, or outcomes.
Gergely Orosz@GergelyOroszAI score37AIAccording to Gergely Orosz, GitHub now records more AI-generated pull requests per month than human-written ones. He says the volume of AI-generated PRs is about three times what it was in December 2023.
ElevenLabs@ElevenLabsAI score12AIElevenLabs has published a blog post about ElevenAgents Architect, linking readers to more details. The post itself provides no further specifics on features, pricing, or availability.
ElevenLabs@ElevenLabsAI score45AIElevenLabs has introduced ElevenAgents Architect, which lets team members manage agents from within ElevenAgents or from Claude, Claude Code, ChatGPT, Cursor, and Grok Bot. The post presents this as a way for any team member to manage agents wherever they work.
ElevenLabs@ElevenLabsAI score14AIElevenLabs says teams can control how a build proceeds so it matches their working practices. Every change is saved as a versioned draft that can be reviewed and reverted, so nothing goes live without approval. Changes can also be tested in simulation and piloted before a full rollout.
ElevenLabs@ElevenLabsAI score34AIElevenLabs introduces ElevenAgents Architect, which creates a new agent from a user's description and attached context files. The tool is said to configure the agent end to end, covering the prompt, guardrails, and knowledge base.
ElevenLabs@ElevenLabsAI score30AIElevenAgents Architect can reason across thousands of your conversations to identify opportunities you might otherwise miss. Each opportunity is returned as a proposal with the fix already built and validated in simulation.
ElevenLabs@ElevenLabsAI score20AIElevenAgents Architect is a tool that answers questions about your agents, such as why customers asked for a human agent on refund calls and how to improve resolution rates on account queries. It analyzes your transcripts, suggests improvements, implements them, and can build a test set to keep your agent on brand.
ElevenLabs@ElevenLabsAI score40AIElevenLabs introduced ElevenAgents Architect, an expert built into ElevenAgents that helps teams launch and improve AI agents through voice or text. The post describes it as a conversational way to create and refine agents without further technical detail provided.
👩💻 Paige Bailey@DynamicWebPaigeAI score38AIGoogle has released Nano Banana 2.1, its latest image generation and editing model, which it says outperforms previous versions with gains in visual design, mask-based editing, and subject consistency. Paige Bailey shared a pug smile example made with the model and invited users to try it in Google AI Studio.
Philipp Schmid@_philschmidAI score62AIGoogle's Nano Banana 2.1 (gemini-nano-banana-2.1) is now available and outperforms the previous Pro model at $0.034 per image, versus $0.134 before. It adds improved instruction following, better in-image text rendering, grounding with Google Image Search, and consistency for up to 5 characters with 14 reference images. It is available in Google AI Studio, the Gemini API, Google Cloud, the Gemini app, and Flow by Google.
fal@falAI score13AIfal announced that Google's Nano Banana 2.1 model is available today for text-to-image generation and image editing. Links to both model pages on fal.ai were provided.
fal@falAI score38AIGoogle's Gemini Nano Banana 2.1 is now available on fal, offering significantly faster generation than Nano Banana 2. The model adds major gains in visual design, mask-based editing, and subject consistency.
Microsoft Copilot@MSFTCopilotAI score22AIMicrosoft's Copilot has a new identity designed around how work actually happens, bringing apps, tools, and context into one connected experience. The post offers a behind-the-scenes look at the redesign but gives no further specifics.
Google Gemma@googlegemmaAI score14AIGoogle's Gemma account announces EmbeddingGemma 2, pointing readers to a blog post and documentation for details. The post itself provides no specifications, benchmarks, or pricing.
Google Gemma@googlegemmaAI score62AIGoogle Gemma announces EmbeddingGemma 2, a lightweight embedding model that maps text, code, images, video, and audio into a single unified embedding space. The model has a 740M parameter form factor with modular encoders, Matryoshka Representation Learning dimensions from 768 down to 128, and an 8K context window that is 4x larger than the text-only EmbeddingGemma. It is released under the commercially permissive Apache 2.0 license.
Google Gemma@googlegemmaAI score42AIGoogle Gemma says EmbeddingGemma 2 delivers best-in-size-class performance on MTEB (Code) and MIEB (Lite). The post highlights local codebase indexing, semantic code search, and coding agent retrieval, with a 9.92-point code performance gain over EmbeddingGemma.
Google for Developers@googledevsAI score48AIGoogle has released EmbeddingGemma 2, a compact 740M-parameter model built for on-device and edge applications. It natively embeds text, images, audio, and video into one shared space, enabling cross-format search without manual organization, translation, or labeling.
Google for Developers@googledevsAI score36AIGoogle has released the weights for EmbeddingGemma 2 on Hugging Face and Kaggle. The release includes out-of-the-box support for LiteRT, MediaPipe, LangChain, and LlamaIndex.
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