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Introducing Veo 3 and Imagen 4, and a new tool for filmmaking called Flow
a year ago
- Announcement of new generative media models: Veo 3, Imagen 4, and Lyria 2.
- Veo 3 introduces video generation with audio, improved quality, and real-world physics understanding.
- Veo 2 updates include reference-powered video, camera controls, outpainting, and object add/remove features.
- Flow, an AI filmmaking tool, integrates Veo, Imagen, and Gemini for cinematic storytelling.
- Imagen 4 offers high-quality images with superior typography and fast variant coming soon.
- Lyria 2 provides powerful music composition tools, now available on YouTube Shorts and Vertex AI.
- SynthID Detector launched to identify AI-generated content, ensuring responsible creation.
- Partnerships with creative industries to shape AI tools responsibly and enhance artistic possibilities.
Gemini 2.5: Our most intelligent models are getting even better
a year ago
- Gemini 2.5 Pro is now leading in WebDev Arena and LMArena leaderboards, excelling in coding and learning.
- New capabilities for Gemini 2.5 Pro and 2.5 Flash include native audio output, advanced security safeguards, and Project Mariner’s computer use features.
- Deep Think, an experimental reasoning mode for Gemini 2.5 Pro, enhances performance in complex math and coding tasks.
- Gemini 2.5 Flash is now available to everyone, with improved efficiency and performance across benchmarks.
- New features like native audio output and text-to-speech support multiple speakers and languages, enhancing conversational experiences.
- Enhanced security protections in Gemini 2.5 models significantly reduce risks from indirect prompt injections.
- Developer experience improvements include thought summaries, thinking budgets, and MCP support for easier integration with open-source tools.
Gemini Diffusion
a year ago
- Gemini Diffusion is an experimental text diffusion model offering greater control, creativity, and speed in text generation.
- Diffusion models refine noise step-by-step, enabling faster and more coherent text generation compared to autoregressive models.
- Key capabilities include rapid response, coherent text generation, and iterative refinement for error correction.
- Benchmarks show Gemini Diffusion performs comparably to larger models while being faster.
- Available as an experimental demo; interested users can join the waitlist for access.
Announcing Gemma 3n preview: powerful, efficient, mobile-first AI
a year ago
- Gemma 3n is a new open model optimized for on-device AI, designed to run efficiently on phones, tablets, and laptops.
- Developed in collaboration with mobile hardware leaders like Qualcomm, MediaTek, and Samsung, it supports fast, multimodal AI experiences.
- Features Per-Layer Embeddings (PLE) to reduce RAM usage, enabling larger models to run with lower memory overhead (2GB-3GB).
- Enables real-time, private AI applications like speech transcription, translation, and contextual text generation on-device.
- Early preview available now, with broader availability on Android and Chrome later this year.
- Undergoes rigorous safety evaluations and aligns with Google's responsible AI policies.
- Initial access includes model weights, documentation, and tools for developers.
On-device small language models with multimodality, RAG, and Function Calling
a year ago
- Google AI Edge expands support to over a dozen models, including Gemma 3 and Gemma 3n, hosted on the new LiteRT Hugging Face community.
- Gemma 3n is the first multimodal on-device small language model supporting text, image, video, and audio inputs.
- New Retrieval Augmented Generation (RAG) and Function Calling libraries enhance on-device AI capabilities.
- Models are optimized for mobile and web, with easy on-device execution via a few lines of code.
- New quantization tools offer higher quality int4 post-training quantization, reducing model size by 2.5-4X.
- Gemma 3 1B runs up to 2,585 tokens per second on mobile GPU, processing a page of content in under a second.
- Gemma 3n supports enterprise use cases with text, image, video, and audio inputs, available on Hugging Face.
- On-device RAG allows augmentation with application-specific data without fine-tuning.
- AI Edge Function Calling library enables interactive language models to call predefined functions or APIs.
- Python tool simulation library aids in creating custom language models for specific functions.
- Google AI Edge will continue supporting new models and modalities, with updates on LiteRT Hugging Face Community.
Project Mariner – Browser-Based AI Agent
a year ago
- Project Mariner is a research prototype exploring human-agent interaction, starting with browsers.
- Automates multiple tasks simultaneously using natural language to assign AI agents for tasks like research, planning, and data entry.
- Features multimodal reasoning to observe, plan, and act based on browser content.
- Agents can learn tasks and replicate workflows with minimal input in the future.
- Demonstrated use cases include finding personalized jobs, hiring a Tasker, and ordering missing ingredients.
- Capabilities are being integrated into the Gemini API and other Google products.
- Prioritizes safety and security in development.
- Available in the US to Google AI Ultra subscribers as a research prototype.
AI Mode in Google Search
a year ago
- AI Overviews launched last year at I/O, leading to a profound shift in how people use Google Search.
- AI Overviews has increased Google Search usage by over 10% in major markets like the U.S. and India.
- AI Mode in Search is being rolled out in the U.S., offering advanced reasoning, multimodality, and follow-up questions.
- AI Mode uses query fan-out to break down questions into subtopics for deeper web exploration.
- Deep Search in AI Mode provides expert-level, fully-cited reports by issuing hundreds of searches and reasoning across information.
- Live capabilities in Search allow real-time interaction using the camera, enhancing visual search with Google Lens.
- Agentic capabilities in AI Mode help with tasks like purchasing tickets and making reservations, saving time.
- A new AI shopping partner integrates Gemini model capabilities with the Shopping Graph for virtual try-ons and agentic checkout.
- Personal context in AI Mode offers tailored results based on past searches and connected Google apps like Gmail.
- Custom charts and graphs in AI Mode help visualize data for sports and finance queries.
Agentic AI Systems – Tools, System Design, and Resources for AI Agents
a year ago
- Agentic-AI-Systems is a knowledge base for mastering Agentic and Generative AI system design.
- Gen-AI section includes summaries on AI Engineering, GenAI Platform Overview, Gen-AI Evaluation Framework, and OpenAI API.
- Agents section covers OpenAI Agents SDK, LlamaIndex, CrewAI and LangGraph (coming soon), and Anthropic's Build Effective Agents.
- Code section provides hands-on starter codes, examples, and projects for agentic systems.
- Includes framework examples, agentic design patterns, use case examples, and resources on agents.
- Encourages contributions via pull requests for new frameworks, examples, or summaries.
LLM-D: Kubernetes-Native Distributed Inference at Scale
a year ago
- CoreWeave, Google, IBM Research, NVIDIA, and Red Hat launched the llm-d community.
- llm-d is a Kubernetes-native distributed inference serving stack for large language models.
- Features include vLLM-Optimized Inference Scheduler, Disaggregated Serving with vLLM, Disaggregated Prefix Caching with vLLM, and Variant Autoscaling.
- llm-d adopts a layered architecture on top of vLLM, Kubernetes, and Inference Gateway.
- The project is community-driven, Apache-2 licensed, and has an open development model.
- Installation options include a full solution via Helm chart or individual components.
- Weekly standups, Slack discussions, and Google Groups are used for collaboration.
- Project is licensed under Apache License 2.0.
The Future of Junior Software Engineering Roles
a year ago
- The role of junior software engineers is disappearing, with various theories attributing this to AI coding assistants, the decline of computer science degrees, or temporary market fluctuations.
- Junior engineers traditionally learn by observing senior engineers break down and solve problems, a process less effective in remote environments.
- AI coding assistants can perform tasks previously assigned to junior engineers, making their roles less necessary due to the cost and time involved in training them.
- Problem-solving skills, more than coding, are crucial for junior engineers in the age of AI, requiring a refocus in computer science education towards abstract problem-solving.
- Computer science degrees should incorporate more math courses to enhance problem-solving skills, moving away from just coding proficiency.
- Exams should rigorously test problem-solving skills to ensure students develop critical thinking abilities, as assignments can be outsourced to AI.
- The shift towards remote work and AI assistance raises concerns about the future of mentorship and knowledge transfer in the engineering field.
The rise, fall and spectacular comeback of Sam Altman
a year ago
- Sam Altman was fired and then reinstated as CEO of OpenAI, amidst internal and external pressures.
- Karen Hao's book 'Empire of AI' details the power struggles and ideological clashes within OpenAI.
- OpenAI's development of AI is driven by significant financial investments and ideological battles between 'boomers' and 'doomers'.
- AI's rapid growth, exemplified by ChatGPT, has overshadowed critical debates on its societal impacts.
- The environmental and ethical costs of AI development, including data center energy use and low-paid content moderation, are significant.
- Hao argues that the concentration of power and wealth in AI companies poses a threat to democracy.
- Artists, writers, and data privacy laws are emerging as forms of resistance against AI's unchecked expansion.
- The narrative around AI's benefits is often controlled by companies, masking its potential harms and inequalities.
Overlap (YC S24) Is Hiring
a year ago
- Overlap develops AI agents for video marketing, aiding media companies in searching, editing, and understanding video content.
- The company collaborates with major media firms and creators, offering a user-friendly interface for clipping and sharing videos on social media automatically.
- They are hiring a Product Engineer to contribute across the tech stack, impacting the podcast industry.
- Responsibilities include feature implementation, web app development, cloud infrastructure optimization, and product design.
- Required qualifications: adaptability in startups, problem-solving skills, US citizenship, and willingness to work in-person in SF.
- Preferred skills: Python backend, 0→1 product experience, Google Cloud Platform, AI/ML knowledge, and Figma proficiency.
- Benefits include joining a YC-backed startup, working with advanced AI, equity opportunities, and a passionate team.
Intel Arc Pro B50 and B60 for Lower Cost Pro GPUs
a year ago
- Intel Arc Pro B50 and B60 GPUs showcased at Computex 2025, targeting the workstation graphics market.
- B50 priced around $299 with 16GB memory, 70W power, bus-powered design, and low-profile form factor.
- B60 priced around $399 with 24GB memory, 120-200W power, and variations including dual-GPU designs.
- Intel focuses on SR-IOV for virtualization, making these GPUs suitable for AI inference and Linux-based systems.
- Project Battlematrix introduced, supporting up to eight GPUs for AI workloads in workgroup servers.
- Panther Lake (consumer) and Clearwater Forest (Xeon) 18A process chips demoed, highlighting Intel's process leadership ambitions.
- GPUs expected to launch in Q3, aligning with AI inference and virtualization feature rollouts.
- NVIDIA's focus on high-end GPUs leaves the low-end market open for Intel's cost-effective solutions.
- Potential use cases include home servers, transcoding, and security systems due to low cost and power efficiency.
Introducing the Llama Startup Program
a year ago
- The Llama Startup Program supports early-stage startups in building generative AI applications with Llama.
- Members receive up to $6,000 USD per month for six months to offset cloud inference costs.
- Startups get hands-on technical support from Llama experts to optimize their solutions.
- Eligible startups must be incorporated in the U.S., have raised less than $10M, and have at least one developer.
- Applications for the initial cohort close on May 30, 2025.
Harper (YC W25) Is Hiring Applied AI / AI Context Engineers and Data Scientist
a year ago
- Harper is an AI-native commercial insurance brokerage.
- They are hiring for multiple positions including Data Scientist, AI Context Engineer, Applied AI Engineer, Customer Success, and Growth.
- Positions are based in San Francisco, CA, with salaries ranging from $100K to $200K and equity options.
- Harper was founded in 2024, is part of the W25 batch, has a team size of 8, and is currently active.
- The company is co-founded by Tushar Nair and Dakotah Rice.
Devstral
a year ago
- Devstral is an open-source agentic LLM for software engineering tasks, developed by Mistral AI and All Hands AI.
- It outperforms all open-source models on the SWE-Bench Verified benchmark with a score of 46.8%, surpassing prior models by more than 6%.
- Devstral is designed to handle real-world software engineering problems, such as contextualizing code within large codebases and identifying subtle bugs.
- The model is versatile, suitable for local deployment (runs on a single RTX 4090 or Mac with 32GB RAM), enterprise use, and integration into coding IDEs or plugins.
- Released under the Apache 2.0 license, Devstral is available for free download on platforms like HuggingFace, Ollama, Kaggle, Unsloth, and LM Studio.
- For enterprise deployments requiring fine-tuning or customization, Mistral AI offers support through their applied AI team.
- Devstral is also available via API at the same price as Mistral Small 3.1: $0.1/M input tokens and $0.3/M output tokens.
- A larger agentic coding model is in development and will be released in the coming weeks.
Everything Google Announced at I/O 2025
a year ago
- Google I/O event focused heavily on AI integration across products.
- Gemini replaces Google Assistant with advanced features like Gemini Live.
- Gemini Live combines camera input, voice commands, and web searches.
- Personalized Smart Replies in Gmail uses AI to mimic user's writing style.
- Gemini features available via subscription, with tiers like Google AI Pro and Ultra.
- New creative tools include Jules for coding and Imagen 4 for detailed image generation.
- Flow and Veo 3 introduced for AI-generated video creation and enhancement.
- Search gets AI Mode for complex queries and virtual try-on shopping features.
- Android XR glasses showcased with AR capabilities and partnerships with eyewear brands.
- Fire Sat and Wing announced for wildfire detection and disaster relief efforts.
Gemini 2.5 is leaving preview just in time for Google's new $250 AI subscription
a year ago
- Google announced general availability for Gemini 2.5 at I/O 2025.
- Gemini 2.5 will soon integrate with Chrome and includes a new subscription plan.
- Gemini 2.5 Flash becomes the new default model, offering improved reliability and efficiency.
- The release version of 2.5 Flash uses 20–30% fewer tokens than the preview version.
- Gemini 2.5 Pro is losing its preview status and gaining new features like Deep Think.
- Deep Think allows the model to consider multiple hypotheses, improving math and coding capabilities.
Show HN: Super (YC W18) - Turn company data into answers & agents for your team
a year ago
- Compliant with SOC2 type II and GDPR standards.
- Hosted in the EU for data security.
- Use '@super' in channels and threads for quick access.
- Click the Super logo on web pages to engage.
- Available as an app for convenience.
- Features real-world stories of teams leveraging AI for insights and automation.
A16Z Speedrun
a year ago
- Invests in global startups shaping AI and creative landscapes.
- Offers a 12-week program with direct investment from a16z speedrun.
- Provides fundraising support and connections to external investors.
- Includes 1:1 mentorship and curated sessions with industry leaders.
- Access to exclusive resources, events, and a network of 500+ founders.
- Open to founders worldwide with visa and relocation assistance.
- Locations include major cities in the USA, Europe, Asia, and Australia.
- Previous speakers and mentors include top industry leaders.
- Testimonials from founders highlight the program's impact and community support.

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#ai

Introducing Veo 3 and Imagen 4, and a new tool for filmmaking called Flow

Gemini 2.5: Our most intelligent models are getting even better

Gemini Diffusion

Announcing Gemma 3n preview: powerful, efficient, mobile-first AI

On-device small language models with multimodality, RAG, and Function Calling

Project Mariner – Browser-Based AI Agent

AI Mode in Google Search

Agentic AI Systems – Tools, System Design, and Resources for AI Agents

LLM-D: Kubernetes-Native Distributed Inference at Scale

The Future of Junior Software Engineering Roles

The rise, fall and spectacular comeback of Sam Altman

Overlap (YC S24) Is Hiring

Intel Arc Pro B50 and B60 for Lower Cost Pro GPUs

Introducing the Llama Startup Program

Harper (YC W25) Is Hiring Applied AI / AI Context Engineers and Data Scientist

Devstral

Everything Google Announced at I/O 2025

Gemini 2.5 is leaving preview just in time for Google's new $250 AI subscription

Show HN: Super (YC W18) - Turn company data into answers & agents for your team

A16Z Speedrun