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  • GPT-5 & OpenAI Open Weights / Genie-3 Worlds / 1-Day Gene Editing / Robot Dogs / RtoA #7
    In this episode of The Road to Abundance, Gordon Mullan and Govind Shukla dive into one of the most explosive weeks in AI so far. OpenAI stunned the community with a rare double launch, releasing GPT-5 alongside brand-new open-weights models, and the ripple effects are already being felt across the tech world. DeepMind’s Genie-3 is here too, offering playable, promptable, physically consistent worlds that could change how games and simulations are built. We also explore how CRISPR-GPT is turning complete beginners into gene-editing experts in just a single day, and why some jaw-dropping robot dog demos are making people wonder if it’s time to rethink where this is all heading.And don’t forget β€” you can find previous episodes of The Road to Abundance on the ENGX SPACE YouTube channel: https://www.youtube.com/@engxspaceDownload MP3: https://aia.simplecast.com/episodes/115NAVIGATION00:00:00 – Introduction00:00:46 – OpenAI: GPT-5, GPT-OSS, ChatGPT Agent & Study Mode00:32:48 – Anthropic: Funding U-turn & Claude Code Sub-agents00:34:20 – Meta: AI in Interviews & Super-intelligence Vision00:34:23 – Microsoft: Edge AI Upgrades & $4T Milestone00:44:47 – Amazon: Bee AI Wearable Acquisition00:55:17 – Mistral: Le Chat Deep Research & Codestral Upgrades00:56:12 – Google: Veo 3 API, Genie 3, Gemini 2.5 & AlphaEarth01:06:42 – China: Qwen Model Parade01:09:03 – Tencent: HunyuanWorld & LeVo Text-to-Audio01:09:53 – Z.ai: GLM-4.5 Lineup01:10:29 – Runway: Act-Two Motion Transfer & Aleph Video Editing01:12:21 – ElevenLabs: Eleven Music Launch01:13:55 – JetBrains Junie: Code-fixing Agent & OSS Support01:15:09 – Benchmarks & Mishaps: HLE, ARC-AGI-3 & Stack Overflow01:17:30 – Law & Order: US AI Race Plan & EU AI Act01:19:41 – Science & Tech: CRISPR-GPT & Cancer-targeting Proteins01:29:31 – Robotics: Tesla Robotaxi Expansion & Chinese Farm Automation01:30:16 – Ethics & Culture: AI Music, Job Risk Study & Industry Trends01:39:52 – Final WordsSERVICES AND LINKS FROM THE EPISODEπŸ”Ή OpenAI prepares to release GPT-5: https://www.bleepingcomputer.com/news/artificial-intelligence/openai-prepares-gpt-5-for-roll-outπŸ”Ή Horizon Alpha β€” possibly the secret GPT-5: https://x.com/OpenRouterAI/status/1950713168193282078πŸ”Ή Leak of OpenAI model parameters: https://x.com/secemp9/status/1951162373361803522?s=46&t=pKf_FxsPGBd_YMIWTA8xggπŸ”Ή Introduction of ChatGPT Agent: https://futurism.com/openai-new-ai-agent-food-stadiumπŸ”Ή Anthropic seeks investment in the Persian Gulf: https://www.wired.com/story/anthropic-dario-amodei-gulf-state-leaked-memo/πŸ”Ή Sub-agents in Claude Code: https://docs.anthropic.com/en/docs/claude-code/sub-agentsπŸ”Ή Meta to allow AI in job interviews: https://devby.io/news/meta-razreshit-ispolzovat-ii-na-tehsobesahπŸ”Ή Meta’s superintelligence mission: https://www.meta.com/superintelligence/πŸ”Ή Amazon acquires Bee: https://www.linkedin.com/feed/update/urn:li:activity:7353453923795378176πŸ”Ή Edge with Copilot Mode: https://www.microsoft.com/en-us/edge/ai-powered/copilot-modeπŸ”Ή Le Chat updates from Mistral: https://mistral.ai/news/le-chat-dives-deep%20πŸ”Ή Codestral update: https://mistral.ai/news/codestral-25-08πŸ”Ή Access Veo 3 via Gemini API: https://developers.googleblog.com/en/veo-3-now-available-gemini-api/πŸ”Ή Conversational image segmentation in Gemini 2.5: https://developers.googleblog.com/en/conversational-image-segmentation-gemini-2-5/πŸ”Ή Try segmentation in AI Studio: https://aistudio.google.com/app/apps/bundled/spatial-understanding?showPreview=true&appParams=task%3Dsegmentation-masks.πŸ”Ή Video Overviews in NotebookLM: https://blog.google/technology/google-labs/notebooklm-video-overviews-studio-upgrades/πŸ”Ή Opal platform: https://developers.googleblog.com/en/introducing-opal%20πŸ”Ή Win at International Math Olympiad: https://www.heise.de/en/news/OpenAI-and-Google-win-gold-at-the-Math-Olympics-10496839.html%20πŸ”Ή Deep Think in Gemini Ultra: https://blog.google/products/gemini/gemini-2-5-deep-think/πŸ”Ή AlphaEarth Foundations by DeepMind: https://deepmind.google/discover/blog/alphaearth-foundations-helps-map-our-planet-in-unprecedented-detail/πŸ”Ή Qwen3-Coder-480B-A35B-Instruct: https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-InstructπŸ”Ή Qwen3-Coder-30B-A3B-Instruct: https://hf.co/Qwen/Qwen3-Coder-30B-A3B-InstructπŸ”Ή Wan2.2 (open-source video MoE): https://github.com/Wan-Video/Wan2.2πŸ”Ή HunyuanWorld-1.0 β€” 3D world generator: https://github.com/Tencent-Hunyuan/HunyuanWorld-1.0πŸ”Ή LeVo: https://github.com/tencent-ailab/songgenerationπŸ”Ή Runway Aleph: https://runwayml.com/research/introducing-runway-alephπŸ”Ή Classics reimagined by Aleph: https://x.com/blizaine/status/1950203241150530043?s=46&t=dUCVh9akIWxxNUIkrDJwJgπŸ”Ή FUZZ-2.0 by Riffusion: https://producer.aiπŸ”Ή JetBrains Junie updates: https://blog.jetbrains.com/junie/2025/07/the-agentic-ai-era-at-jetbrains-is-here/πŸ”Ή Free Junie request form: https://www.jetbrains.com/junie-github#theroadtoabundance #gpt5 #genie3
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    1:40:44
  • Grok Destroys Benchmarks / Apple’s Last AI Move / Meta Hires Everyone/ The RtoA #6
    πŸ‘‰ EngX Space: https://engx.space/πŸ‘‰AI-assisted systems engineering for large-scale platforms:https://engx.space/global/en/courses/ai-assisted-systems-engineeringIn this episode of The Road to Abundance, Gordon Mullan and Govind Shukla dive into the wild July headlines in the AI world.Tune in for cutting-edge news about Grok’s chaos, Meta’s AI ambitions, Apple’s comeback plans, and the accelerating rise of robot labor.And don’t forget, you can find previous episodes of The Road to Abundance on the ENGX SPACE YouTube channel: https://www.youtube.com/@engxspaceNAVIGATION0:00 – Introduction0:59 – xAI: Grok 47:15 – Problems at Windsurf9:18 – Cognition AI, creator of Devin.10:24 – Anthropic13:20 – Meta24:34 – OpenAI27:46 – Google36:07 – Amazon41:03 – Apple rumor44:08 – Mistral45:34 – Perplexity47:34 – LG Research49:39 – Chinese AI: ByteDance, MoonshotAI55:15 – What Else: LM Studio, Other models/news1:08:38 – Law & Order1:14:54 – Science & Tech1:23:02 – Ethics‑Schmethics1:29:16 – Final WordsSERVICES AND LINKS FROM THE EPISODEπŸ”Ή Grok 4 release by xAI: https://techcrunch.com/2025/07/09/elon-musks-xai-launches-grok-4-alongside-a-300-monthly-subscription/πŸ”Ή Eugene Nevgen’s profile: https://x.com/eugenenevgenπŸ”Ή Failed OpenAI and Windsurf deal: https://www.theverge.com/openai/705999/google-windsurf-ceo-openaiπŸ”Ή Cognition AI acquires Windsurf: https://www.nytimes.com/2025/07/14/technology/cognition-ai-windsurf.htmlπŸ”Ή Claude connectors directory: https://www.anthropic.com/news/connectors-directoryπŸ”Ή Claude learning courses by Anthropic: https://www.anthropic.com/learn/build-with-claudeπŸ”Ή Recording mode announced for ChatGPT on macOS: https://x.com/OpenAI/status/1945547821626913059πŸ”Ή ChatGPT Agent β€” combining Operator and Deep Research: https://www.theverge.com/ai-artificial-intelligence/709158/openai-new-release-chatgpt-agent-operator-deep-researchπŸ”Ή Google Gemini for Education: https://blog.google/outreach-initiatives/education/gemini-iste-2025/πŸ”Ή Google Flow announcement: https://blog.google/technology/google-labs/flow-adds-speech-expands/πŸ”Ή Google Flow homepage: https://labs.google/fx/tools/flowπŸ”Ή Google’s AI-powered phone calls: https://techcrunch.com/2025/07/16/google-rolls-out-ai-powered-business-calling-feature-brings-gemini-2-5-pro-to-ai-modeπŸ”Ή AWS Kiro IDE: https://kiro.devπŸ”Ή Code with Kiro hackathon: https://kiro.devpost.comπŸ”Ή Amazon’s new AI promotion policy: https://www.businessinsider.com/amazon-requires-staff-show-ai-use-get-promoted-ring-2025-7πŸ”Ή Rumor: Apple to acquire Mistral: https://www.bloomberg.com/news/articles/2025-07-19/apple-eyes-mistral-ai-acquisitionπŸ”Ή Devstral Small 1.1 by Mistral: https://huggingface.co/mistralai/Devstral-Small-2507πŸ”Ή Voxtral β€” Mistral’s speech model: https://mistral.ai/news/voxtralπŸ”Ή Mistral’s voice chat: https://chat.mistral.ai/chatπŸ”Ή Perplexity Comet Browser: https://comet.perplexity.aiπŸ”Ή EXAONE 4.0 on HuggingFace: https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-32BπŸ”Ή Trae Agent by ByteDance: https://github.com/bytedance/trae-agentπŸ”Ή Kimi K2 by MoonshotAI: https://github.com/MoonshotAI/Kimi-K2πŸ”Ή Official site of Trae Solo: https://www.trae.ai/soloπŸ”Ή SmolLM3 on HuggingFace: https://huggingface.co/blog/smollm3πŸ”Ή News on Swiss AI model: https://ethz.ch/en/news-and-events/eth-news/news/2025/07/a-language-model-built-for-the-public-good.htmlπŸ”Ή HeyGen Video Agent: https://www.heygen.com/agentπŸ”Ή Netflix starts using GenAI in shows: https://techcrunch.com/2025/07/18/netflix-starts-using-genai-in-its-shows-and-films/πŸ”Ή Article about AI-created YouTube channels: https://sherwood.news/tech/ai-created-videos-are-quietly-taking-over-youtube/%20πŸ”Ή Salaries at Mira Murati’s new startup: https://www.businessinsider.com/muratis-new-ai-startup-salary-technical-talent-2025-6πŸ”Ή Pentagon contracts with AI companies: https://www.reuters.com/business/autos-transportation/us-department-defense-awards-contracts-google-xai-2025-07-14/πŸ”Ή EU’s AI Act explainer: https://digital-strategy.ec.europa.eu/en/policies/contents-code-gpaiπŸ”Ή Researchers hiding prompts in academic papers: https://asia.nikkei.com/Business/Technology/Artificial-intelligence/Positive-review-only-Researchers-hide-AI-prompts-in-papersπŸ”Ή Centaur model from German scientists: https://www.nature.com/articles/s41586-025-09215-4πŸ”Ή Changes to LM Studio license: https://lmstudio.ai/blog/free-for-workπŸ”Ή LM Studio SDK: https://lmstudio.ai/docs/sdk#theroadtoabundance #grok #mehagitler
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    1:29:53
  • Tesla’s Robotaxi Is Here / AI Goes Physical / Talent Wars & Bio Breakthroughs / The RtoA #5
    Our NEW YT channel: https://youtube.com/@theroadtoabundanceπŸ‘‰ EngX Space: https://engx.spaceπŸ‘‰ Use Copilot & ChatGPT to code smarter: https://engx.space/global/en/courses/ai-supported-software-engineeringπŸ‘‰ 12-week AI adoption program for dev teams: https://engx.space/global/en/courses/generative-ai-adoption-for-engineering-teamsπŸ‘‰ 1-day AI training for engineers: https://engx.space/global/en/courses/engx-ai-adoption-workshopπŸ‘‰ Master GitHub Copilot to boost coding in Java, JS, Python & C#: https://engx.space/global/en/courses/github-copilotIn this episode of The Road to Abundance, Gordon Mullan and Govind Shukla explore how AI is finally stepping out of the cloud and into the real world.πŸš— Tesla launches its long-awaited robotaxi service, and we discuss why this is a turning point for real-world autonomy.πŸ€– Why AI needs robots to truly learn, generalize, and evolve, plus the challenges of grounding intelligence in physical environments.🧠 Tech giants are offering crazy money to poach AI talent, and we explore what this means for open source and smaller labs.🧬 AI is now supercharging biology, from protein folding to materials discovery, and it’s only just beginning.Catch up to stay in the loop on everything shaping the AI landscape!NAVIGATION00:00 – Introduction01:01 – AI Talent Wars: Meta vs OpenAI, Apple, Anthropic04:19 – Claude Code vs Cursor: The Talent Twist07:00 – Apple WWDC: Quiet LLM Power Moves10:23 – OpenAI: o3 Pro, Podcast, GPT-5 & Jony Ive Device22:15 – Google: Gemini 2.5, Audio Search & AlphaGenome27:37 – Grok 4 Reveal Incoming29:03 – Mistral: Cloud Ambitions & Magistral Models30:54 – Chinese AI: MiniMax, Seedance, Hailou33:26 – Tools & Products: Dia Browser, ElevenLabs, NotebookLM, Animate44:55 – Law & Order: AI Training Legal, CIA & JFK49:58 – Science & Tech: AlphaGenome, Chai-2, Tesla Robotaxis52:14 – Robotics: Robo-kickboxing & Tesla Robotaxi Launch01:05:32 – Energy Storage: China's Grid Battery Breakthrough01:10:05 – Ethics & Treats: AI Toys, Army Unit 201, AI Live-Sales01:12:29 – Final WordsSERVICES AND LINKS FROM THE EPISODEπŸ”Ή OpenAI vs Meta: https://www.bloomberg.com/news/articles/2025-06-30/zuckerberg-announces-meta-superintelligence-effort-more-hiresπŸ”Ή Claude Code vs Cursor: https://www.theinformation.com/articles/anthropic-revenue-hits-4-billion-annual-pace-competition-cursor-intensifies?rc=ukjmk2πŸ”Ή ChatGPT in Xcode: https://techcrunch.com/2025/06/09/apple-brings-chatgpt-and-other-ai-models-to-xcodeπŸ”Ή Apple Foundation Models: https://machinelearning.apple.com/research/apple-foundation-models-2025-updatesπŸ”Ή OpenAI o3 Pro: https://platform.openai.com/docs/models/o3-proπŸ”Ή o3 Price Drop: https://x.com/sama/status/1932434606558462459?s=46&t=dUCVh9akIWxxNUIkrDJwJgπŸ”Ή Deep Research: https://platform.openai.com/docs/models/o3-deep-researchπŸ”Ή Podcast with Sam Altman: https://www.youtube.com/watch?v=DB9mjd-65gwπŸ”Ή Gemini CLI: https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/πŸ”Ή Gemini Flash-Lite: https://deepmind.google/models/gemini/flash-liteπŸ”Ή Gemini 2.5 Release: https://blog.google/products/gemini/gemini-2-5-model-family-expandsπŸ”Ή Gemma 3n: https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/πŸ”Ή Gemini Scheduled Actions: https://www.theverge.com/news/681762/google-gemini-scheduled-actions-planned-tasksπŸ”Ή Audio Overviews: https://blog.google/products/search/audio-overviews-search-labsπŸ”Ή Claude-Powered Apps: https://www.anthropic.com/news/claude-powered-artifactsπŸ”Ή Grok 4 Announcement: https://x.com/elonmusk/status/1938561602640605363πŸ”Ή Cursor Ultra Plan: https://forum.cursor.com/t/cursor-ultra-a-new-higher-tier-plan-built-alongside-the-model-providers/104530πŸ”Ή Cursor 1.2 Update: https://www.cursor.com/changelogπŸ”Ή Mistral Compute: https://mistral.ai/news/mistral-computeπŸ”Ή Magistral Small: https://mistral.ai/news/magistralπŸ”Ή EuroLLM Preview: https://www.reddit.com/r/LocalLLaMA/comments/1laazto/the_eurollm_team_released_preview_versions_of/πŸ”Ή MiniMax-M1: https://huggingface.co/papers/2506.13585πŸ”Ή Warp 2.0: https://www.fastcompany.com/91356732/warps-new-agentic-development-environment-helps-developers-work-with-ai-coding-agentsπŸ”Ή NotebookLM Adds Belarusian: https://devby.io/be/news/izdateli-proigrali-v-sude-ssha-obuchat-ii-na-knigah-mozhno-piratit-net-byπŸ”Ή AI Film Festival by Runway: https://aiff.runwayml.com/πŸ”Ή Best Film: Total Pixel Space: https://www.youtube.com/watch?v=zpAeygE4d1AπŸ”Ή Robot Football from China: https://youtu.be/W9KCnSUCHbo?si=A4OYpVpizR8e2cLWπŸ”Ή Ilya Sutskever Interview: https://www.youtube.com/watch?v=t3TfmU0l5vMπŸ”Ή Open University of Israel YouTube: https://www.youtube.com/@openofek#theroadtoabundance #gemini #anthropic
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    1:13:38
  • Coding Interview Questions and Answers - Machine Learning / Mock Interview Show #6
    In this episode we shift gears into the world of data science and machine learning engineering.Join us as Mykhailo Kuznietsov steps into a real interview setting, answering 30+ questions covering ML theory, data pipelines, prompt engineering, and more.Hosted by Oleksii Malashyna and interviewed by Denys Soloviov, this session is packed with ML best practices and an engaging live coding challenge β€” including transforming raw user data into a structured format using Python.Whether you're preparing for an ML role or just want to learn how top candidates think on the spot, this episode offers deep insights and honest feedback to help you grow!NAVIGATION0:00 - Intro05:02 - First part. Could you tell more about your experience13:04 - Second part. What sampling methods to get training data do you know?17:23 - What is the main disadvantage of simple random sampling?18:57 - Hand labels and natural labels23:34 - Problem of lacking the labels31:51 - What feature engineering operations do you know?33:19 - Handling missing values. Compare deletion and imputation for it38:07 - What is the bias/variance tradeoff during training?40:40 - What is ensemble learning?43:40 - What is the difference between batch inference and online inference?46:25 - Compare deployments to the cloud and to edge devices. Their pros and cons.50:21 - What is the data distribution shift? What methods exist to detect data distribution shifts?53:45 - How would you standardize the development environment across different workstations?01:00:17 - What prompt engineering techniques do you know to get more qualitative responses from LLMs?01:03:54 - What is RAG, its purpose?01:12:28 - When is it beneficial to fine-tune a language model?01:14:40 - Third part. Practical task01:25:34 - Feedback sessionWHERE TO WATCH US AND LISTENπŸ”Έ YouTube: https://youtu.be/cUQpQiX5jcEπŸ”Έ Google Podcasts: https://bit.ly/awclub-en-googleπŸ”Έ Apple Podcasts: https://bit.ly/awclub-en-appleπŸ”Έ Spotify: https://bit.ly/awclub-en-spotifyπŸ”Έ Download mp3: https://anywhereclub.simplecast.com/episodes/41ADDITIONAL QUESTIONSWhat sampling methods to get training data do you know?What is the main disadvantage of simple random sampling? (Here I can also ask about stratified sampling, its pros and cons)What are the hand labels and natural labels? What are the pros and cons of hand labeling?The label multiplicity problem: how to minimize the disagreement among annotators?What techniques do you know for handling the lack of labels (shortly tell how each technique works)?Explain class imbalance problem and approaches to handle it.What is data augmentation? What problems does it solve?What feature engineering operations do you know?Compare deletion and imputation for handling missing values. What are their advantages and drawbacks?What is data leakage? How to detect it?What things should we consider while selecting an appropriate algorithm for model training? The model will be used by the app serving external clients. (You can mention and compare specific algorithms while answering this question).What is the bias/variance tradeoff?What is cross-validation? Why is it needed?What is model regularization, its goal? What regularization techniques do you know?What is ensemble learning? What algorithms do you know that leverage ensemble learning?What types of neural networks do you know? Map types and suitable tasks for them.What is the difference between the grid search and randomized search hyperparameter tuning techniques?What model evaluation methods do you know to ensure that the model can be deployed to the production environment? (Tell about perturbation tests, slice based evaluation and so on)What is the difference between batch inference and online inference? Tell about use cases.What model compression methods do you know to reduce the size of a model and reduce inference latency?Compare deployments to the cloud and to edge devices. Their pros and cons.What is the data distribution shift? Provide examples. (Here you can also mention that this is one of the reasons why it is important to do model retraining)What methods exist to detect data distribution shifts?What techniques do you know for model testing in production?How would you standardize the development environment across different workstations? What can be done for environment reproducibility and why is it important?What is Docker? How does it help with autoscaling? Why is Docker Compose needed?What is the model store, its purpose?What is the feature store, its purpose?What prompt engineering techniques do you know to get more qualitative responses from LLMs?What is RAG, its purpose?When is it beneficial to fine-tune a language model?What is parameter efficient fine-tuning and what techniques for it do you know?
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    1:34:31
  • Google & Microsoft Just Changed AI Forever / Claude 4 Goes Rogue / The Road to Abundance #4
    In this episode of The Road to Abundance, Gordon Mullan and Govind Shukla break down the biggest AI news from Microsoft Build and Google I/O 2025.From Microsoft’s Copilot Chat going open-source and turning VS Code into an AI-native IDE…To Google launching Gemini 2.5 Flash, DeepThink, and GM3N β€” multimodal models running on just 4GB RAMPlus: Google’s new tools for async coding (Jules), generative design (Stitch), and even the groundbreaking Video 3 β€” an AI that generates full speech, characters, and cinema-quality scenes.We explore:β€’ Agent infrastructure at OS and browser levelβ€’ AI-powered video creation that's nearly indistinguishable from realityβ€’ The race between Big Tech and open source in democratizing AIβ€’ Whether this new wave of models is laying the perceptual groundwork for AGINAVIGATION00:00 - Introduction01:10 – Microsoft Build 202506:09 - Google I/O 202510:40 - Models13:05 - Development16:38 - Media33:39 - COMPUTEX 202538:48 - Anthropic43:57 - OpenAI47:57 - Mistral48:53 - Chinese Scene53:05 - Tools & Updates54:57 - Law & Order56:36 - Science & Tech59:46 - Robotics01:06:45 - Ethics & Candy01:10:12 - FinalWHERE TO WATCH US AND LISTENπŸ”Έ YouTube: https://youtu.be/M3Y-pxN9R0sπŸ”Έ Apple Podcasts: https://bit.ly/awclub-en-appleπŸ”Έ Spotify: https://bit.ly/awclub-en-spotifyπŸ”Έ Download mp3: https://anywhereclub.simplecast.com/episodes/40SERVICES AND LINKS FROM THE EPISODEπŸ”Ή MCP at the Windows OS level: https://developer.microsoft.com/en-us/windows/agenticπŸ”Ή Experimental API in Edge: https://techcrunch.com/2025/05/19/devs-can-now-tap-microsoft-edge-to-power-ai-web-appsπŸ”Ή NLWeb: https://github.com/microsoft/NLWebπŸ”Ή Gemini 2.5 Pro Deep Think and 2.5 Flash models: https://blog.google/technology/google-deepmind/google-gemini-updates-io-2025/πŸ”Ή Gemma 3n: https://developers.googleblog.com/en/introducing-gemma-3n/πŸ”Ή Gemini Diffusion paper: https://goo.gle/44MwCW3πŸ”Ή Jules agent: https://blog.google/technology/google-labs/jules/πŸ”Ή AlphaEvolve agent: https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithmsπŸ”Ή Stitch service: https://stitch.withgoogle.com/createπŸ”Ή Example of Veo 3 video: https://vm.tiktok.com/ZNdhurrDe/πŸ”Ή Google AI Ultra subscription: https://one.google.com/about/google-ai-plansπŸ”Ή Flow editor: https://flow.googleπŸ”Ή RTX PRO 6000 Blackwell Server Edition: https://www.nvidia.com/en-us/data-center/rtx-pro-6000-blackwell-server-edition/πŸ”Ή NVLink Fusion: https://www.tomshardware.com/pc-components/cpus/nvidia-announces-nvlink-fusion-to-allow-custom-cpus-and-ai-accelerators-to-work-with-its-productsπŸ”Ή Arc Pro β€œBattlemage” GPUs: https://www.techpowerup.com/336957/intel-announces-arc-pro-b50-and-b60-graphics-cards-for-pro-vis-and-ai-inferencingπŸ”Ή Sonnet 4 and Opus 4 models: https://www.anthropic.com/news/claude-4πŸ”Ή Claude 4 vulnerability report: https://www-cdn.anthropic.com/6be99a52cb68eb70eb9572b4cafad13df32ed995.pdfπŸ”Ή Denis Shiryaev’s post: https://t.me/denissexy/10154πŸ”Ή Claude Code SDK: https://docs.anthropic.com/en/docs/claude-code/sdkπŸ”Ή Claude Code Action: https://github.com/anthropics/claude-code-actionπŸ”Ή Claude Code IDE integrations: https://docs.anthropic.com/en/docs/claude-code/ide-integrationsπŸ”Ή OpenAI Codex: https://openai.com/index/introducing-codexπŸ”Ή Video with Jony Ive and Sam Altman: https://www.youtube.com/watch?v=W09bIpc_3msπŸ”Ή Data center in Abu Dhabi: https://www.wsj.com/tech/open-ai-abu-dhabi-data-center-1c3e384dπŸ”Ή OpenAI HealthBench: https://openai.com/index/healthbench/?utm_source=alphasignalπŸ”Ή Devstral by Mistral: https://huggingface.co/mistralai/Devstral-Small-2505πŸ”Ή Seed-Coder-8B: https://github.com/ByteDance-Seed/Seed-Coder/tree/masterπŸ”Ή BAGEL by ByteDance: https://github.com/bytedance-seed/BAGELπŸ”Ή Wan2.1-VACE by Alibaba: https://github.com/Wan-Video/Wan2.1πŸ”Ή HunyuanCustom: https://hunyuancustom.github.io/?utm_source=alphasignalπŸ”Ή Hunyuan-TurboS report: https://github.com/Tencent-Hunyuan/Hunyuan-TurboS/blob/main/Hunyuan-Turbos_Report.pdfπŸ”Ή CodeBuddy by Tencent: https://copilot.tencent.com/πŸ”Ή Cursor 0.50 update: https://www.cursor.com/changelog/0-50πŸ”Ή Windsurf Wave 9 update: https://windsurf.com/blog/windsurf-wave-9-swe-1πŸ”Ή SWE-rebench by Nebius: https://swe-rebench.com/leaderboardπŸ”Ή Agent by flowith: https://flowith.io/blankπŸ”Ή Super Agents by SkyWork AI: https://skywork.aiπŸ”Ή NotebookLM on iOS: https://apps.apple.com/nl/app/google-notebooklm/id6737527615?l=en-GBπŸ”Ή NotebookLM on Android: https://play.google.com/store/apps/details?id=com.google.android.apps.labs.language.tailwind&hl=en_USπŸ”Ή CTM by SakanaAI: https://pub.sakana.ai/ctm/πŸ”Ή New Pope and AI: https://www.theverge.com/news/664719/pope-leo-xiv-artificial-intelligence-concernsπŸ”Ή Empire of AI book: https://bookshop.org/p/books/empire-of-ai-dreams-and-nightmares-in-sam-altman-s-openai-karen-hao/4d0c1753c458e708#engx #googleio2025 #computex2025
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    1:11:08

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