Pierre Baqué

🇨🇭 Apertus, Switzerland's Open-Source AI Revolution, Now Available Globally on AWS SageMaker JumpStart Congratulations to ETH Zurich, EPFL, and CSCS on the release of Apertus - Switzerland's first fully open, multilingual large language model family. Today, we are announcing that Apertus is accessible worldwide through Amazon SageMaker JumpStart, making it easier than ever to harness powerful AI capabilities for your business needs. This cooperation brings Swiss AI innovation directly to your cloud infrastructure: Organizations around the world can deploy Apertus with single-click simplicity directly in their private and secure AWS environments, empowering them to experiment, learn, and scale their AI solutions with confidence. Ready to get started? Explore Apertus on AWS today. 👉 Find all details on our blog post: https://lnkd.in/dqc45nDM #AWSSwitzerland #AI #MachineLearning #SwissAI #Apertus #SageMaker #OpenSource #Innovation Martin Jaggi Mauricio Moncada Imanol Schlag Nicolas Jourdan Malte R. Arlind Nocaj Christian Keller Stefano Mallè

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Build an advanced agentic workflow for financial extraction - in < 5 minutes ⚡️ In this video I show you how you can define a complex document workflow that can parse any 10Q filing, extract detailed income information into a Pydantic schema, and output the result in a CSV format. You can do this without writing a single line of code but it is fully extensible through code if you want to layer additional steps! This is built on `docuflows`: a mini-coding agent I built that lets you define a document workflow in natural language, and then compile into a code-based, multi-step workflow that can interleave parsing, extraction, splitting, and LLM calls. This workflow can be reused on any document and also is fully extensible through code. Within the docuflows you can also edit and test the workflow on sample data. Check it out 👇 Docuflows is part of vibe-llama: https://lnkd.in/gx8p4Y6f All you need is a LlamaCloud API key: https://lnkd.in/g9Wpqn7w

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Did you know there are only 274 quantum computing startups globally? The U.S. leads with 77 quantum startups → they attracted $1.6B in funding in 2024 alone. Meanwhile, Canada punches above its weight with 29 startups despite having a fraction of the population. And → the UK, Germany, France, and China each have just 11-26 startups, yet they're all racing to dominate this space. The rest of the world? Only 95 startups combined. What this really means is we're still in the early innings of quantum computing. The companies and countries that invest now will shape the next decade of technological advancement. → quantum computers can solve specific problems exponentially faster than classical computers using qubits to calculate many possibilities simultaneously. This isn't just about faster processing. This is about revolutionizing cryptography, drug discovery, financial modeling, and artificial intelligence. The quantum race is heating up, and the winners are already emerging. Which country do you think will dominate quantum computing by 2030? ♻️ Repost to help people in your network stay informed about the quantum revolution. Follow me for more insights on emerging technologies.

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𝗦𝘄𝗶𝘀𝘀 𝗗𝗲𝗲𝗽 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗿𝘁𝘂𝗽𝘀 𝘀𝘂𝗿𝗽𝗮𝘀𝘀 𝗨𝗦𝗗 $𝟭𝟬𝟬 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗶𝗻 𝘃𝗮𝗹𝘂𝗲 → 60% of Swiss VC went to Deep Tech (2019–2025) → #1 globally for Deep Tech VC share → #1 in Europe for VC per capita in Deep Tech → 96% of late-stage rounds led by global investors → ETH Zurich & EPFL among top 4 Deep Tech spinout hubs in Europe   These metrics are a mark of the emergence of Switzerland as the world’s most capital-efficient Deep Tech hub, where frontier science is not only discovered but increasingly commercialized at scale.   The new Swiss Deep Tech Report, produced in collaboration with Dealroom, Startupticker, and VC firms Founderful and Kickfund, maps this transformation in detail.   Switzerland is no longer just a research leader. It’s a startup ecosystem with a repeatable model for turning scientific rigor into investable companies.   ✅ Deep Tech funding has grown 6x in the last decade ✅ Reached $1.9B in 2024 and projected to cross $2.3B in 2025 ✅ 96% of growth-stage deals are now led by global funds—validation from the world’s most selective LPs   Meanwhile, Switzerland continues to top the Global Innovation Index (WIPO) for the 14th year running, and ranks #1 in the European Innovation Scoreboard.   Some of the standout VC rounds in 2024–2025:   𝗔𝗜 / 𝗠𝗟 Neural Concept — $27M Series B (Jun 2024) EthonAI — $16.6M Series A (May 2024) 𝗔𝗲𝗿𝗶𝗮𝗹 & 𝗦𝗽𝗮𝗰𝗲 H55 — CHF20M Series C Extension (Jul 2024) Spaceti — CHF2.1M Seed (Feb 2025) 𝗦𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 & 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 SynSense — $27.7M Early VC (Aug 2024) Corintis — Undisclosed double-digit $M round 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 & 𝗘𝗻𝗲𝗿𝗴𝘆 neustark — $69M Late VC (Jun 2024) Bcomp Ltd — $40M Series C (Apr 2024) UniSieve AG — Decarbonising heavy-emitting industries via sieving membranes   Switzerland has long excelled at fundamental science. But this decade belongs to the engineers, founders, and investors turning that science into globally defensible companies.   👉🏻 Grab the complete report here https://lnkd.in/dfPkhrz6   #Venturecapital #AI #Deeptech #Startups   Follow us at APEX Ventures and subscribe to our newsletter for exclusive content on groundbreaking Deep Tech startups: 🔗 https://t2m.io/EV2qHQuo

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🇨🇭 Apertus, Switzerland's Open-Source AI Revolution, Now Available Globally on AWS SageMaker JumpStart   👏 Congratulations to ETH Zurich, EPFL, and CSCS on the release of Apertus - Switzerland's first fully open, multilingual large language model family.   📣 Today, we are announcing that Apertus is accessible worldwide through Amazon SageMaker JumpStart, making it easier than ever to harness powerful AI capabilities for your business needs.   🤝 This cooperation brings Swiss AI innovation directly to your cloud infrastructure: Organizations around the world can deploy Apertus with single-click simplicity directly in their private and secure AWS environments, empowering them to experiment, learn, and scale their AI solutions with confidence.   👉 Ready to get started? Explore Apertus on AWS today. Find all details on our blog post: https://lnkd.in/dE3w4gFK   #AWSSwitzerland #AI #MachineLearning #SwissAI #Apertus #SageMaker #OpenSource #Innovation Martin Jaggi, Mauricio Moncada, Imanol Schlag Christian Keller, Pasha P., Maria Teresa Mancuso, Peter Ronchetti, Diana van Vliet, Milan Vopalka, Malte R., Arlind Nocaj, Paolo Di Francesco, Nicolas Jourdan, Dirk Grube, Baptiste Puyou, Michael Braendle, Philipp Knecht

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🚨 Breaking: GPT-5 is finally here! This is OpenAI's most advanced model to date, now powering ChatGPT with frontier-level performance in reasoning, coding, and usability. 🧠 What GPT-5 Brings to the Table • Unified AI Architecture: Combines high reasoning ability with fast, responsive outputs. • Agentic Task Execution: Can handle software generation, calendar navigation, and research report writing autonomously. • Smart Routing: A real-time router determines whether to answer quickly or “think longer” for better output quality. • Creative Strengths: Performs better than previous models in writing, design, and subjective tasks with more natural tone and “better taste.” • Health & Safety Improvements: Hallucinates far less (1.6% in HealthBench), flags health concerns, and better distinguishes between unsafe and safe prompts. 🔍 Benchmark Performance Highlights • SWE-bench Verified (Coding): 74.9% - outperforming Claude Opus 4.1 (74.5%) and Gemini 2.5 Pro (59.6%). • GPQA Diamond (Science QA): 89.4% - higher than Claude Opus 4.1 (80.9%) and Grok 4 Heavy (88.9%). • Humanity’s Last Exam: 42% with tools, just below Grok 4 Heavy (44.4%). • Tau-bench (Agentic Tasks): Mixed results - 63.5% (airline tasks), 81.1% (retail tasks). 🔐 Safer and More Transparent • Significantly fewer hallucinations (4.8% vs. 20.6% for GPT-4o). • Deceptive behavior is lower compared to earlier OpenAI models. • More accurate refusal handling; avoids unsafe tasks while reducing false rejections. 🧰 For Developers and Enterprises Model Variants: • gpt-5: Full-power base model for complex reasoning. • gpt-5-mini: For cost-efficient use cases. • gpt-5-nano: Optimized for ultra-low-latency applications. • API Pricing: $1.25 per million input tokens, $10 per million output tokens. • Control Features: Developers can now set verbosity levels and reasoning depth. 🗣️ Upgrades for ChatGPT Users • Default for Free Users: GPT-5 is now the standard model for everyone on ChatGPT. • New Personalities: Users can choose Cynic, Robot, Listener, or Nerd for different AI styles. • Pro Features: GPT-5 Pro offers higher-quality output via extra computation. Available to Pro users ($200/month) and business plans (Team, Edu, Enterprise). Are you as excited as we are? Let us know in the comments...👇 If you found this helpful, follow us There's An AI For That 🦾

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GPT-5 is out, and while I could write pages on why this model is Universal Basic Superintelligence –– I instead want to focus on OpenAI’s strategic decision to deprecate all previous models in favor of GPT-5 alone, with various fine-tuned versions running quietly in the background. It’s a full-throttle, no-looking-back blitzscale bet. And I think it will win: By opening GPT-5 to everyone immediately, OpenAI locks in massive network effects. New users flock in, existing users upgrade en masse, and ChatGPT’s market pull intensifies. Yes, they’ll spend more to service the use of their most powerful model. GPT‑5 is priced at $1.25 per million input tokens and $10 per million output tokens—about half the input cost of GPT‑4o. The upside, though, is that they’ll continue to grow the number of new users integrating ChatGPT into their daily lives. ChatGPT may be the first AI that most of the 8 billion people on our planet use. They have the opportunity to make ChatGPT synonymous with AI. This gives OpenAI the ultimate surface area to deploy any bleeding-edge capability/superpower to billions of people. ChatGPT reached 100 million monthly active users just two months after launch, the fastest consumer app ever to hit that mark. In August, it surged past 700 million WAU. By contrast, Facebook needed 53 months to reach its first 100 million users and 67 months to top 300 million. OpenAI realizes that the more people who build GPT-5 into their routines, the stronger the moat. Usage becomes habit, habit becomes infrastructure. So, not only do they have to continue scaling –– they plan to hit a billion WAU by year's end –– they have to build real user enjoyment. And that means building for a wider audience and focusing on different things than just power benchmarks. This emphasis on user experience was clear throughout today’s launch event. In many ways, OpenAI prioritized showcasing user experience over raw model performance. In healthcare, they highlighted that they’d tailored GPT-5 to reflect how people are already using ChatGPT, while in coding, the focus was on interaction quality: making the experience feel fluid, intuitive, and frictionless. It felt like a product strategy designed to scale trust, usage, and ubiquity to a more consumer audience. GPT-5 is a tangible example of the coming abundance of intelligence. It's in your pocket. It meets you and your problems where you are. Wherever in the world you are, in whatever language you speak, at whatever level you want it to, with limitless patience. It will help farmers in India plan their crop cycles, solopreneurs scale small businesses, and educators teach students. It will help communities collaborate more efficiently, improving everyone’s quality of life. Now OpenAI’s job is to show ChatGPT to as many people as possible. 

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