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- 🤖🧠 A Hybrid Quantum Platform, LLM Benchmarks, and Etched AI Chips
🤖🧠 A Hybrid Quantum Platform, LLM Benchmarks, and Etched AI Chips
A Newsletter for Computing Geeks, Entrepreneurs, and STEM Graduates
Benjamin Wolba
June 29, 2024
Future-Proof Decision Intelligence With Quantagonia’s Hybrid Quantum Platform
Quantagonia has introduced the world’s first hybrid quantum platform to enhance enterprise’s decision-making, combining advanced classical solvers with future-proof quantum computing capabilities.
Since our first interview in spring 2023, the company has secured a seed round of €4.3 million, led by Tensor Ventures and followed by existing investors Voima Ventures, FTTF, the Beteiligungs-Managementgesellschaft Hessen, and a German family office.
We had the pleasure of speaking again with the founders, Dirk Zechiel and Philipp Hannemann, about the ins and outs of solving optimization problems, whether improving the computing hardware or the algorithms yields better improvements, and who is using their hybrid quantum platform* already today.
Future of Computing News
🤖 New AI startup on the block: OpenAI co-founder Ilya Sutskever announces his new AI startup, Safe Superintelligence (CNBC)
🤖 Aiming for far less power consumption: Researchers upend AI status quo by eliminating matrix multiplication in LLMs (Ars Technica)
🤖 Major upgrade: Anthropic has a fast new AI model — and a clever new way to interact with chatbots (The Verge)
🤖 An Open source alternative to Perplexity AI: Perplexica is an AI-powered search engine (GitHub)
🤖 Catching bugs in AI-generated code: OpenAI’s new “CriticGPT” model is trained to criticize GPT-4 outputs (Ars Technica)
🤖 Here’s the original paper from OpenAI: LLM Critics Help Catch LLM Bugs (OpenAI)
🦾 Quo Vadis: Nvidia CEO Jensen Huang addresses rising competition at shareholder meeting after historic stock surge (CNBC)
🦾 The AI effect: Semiconductor Startup Funding Looks To Bounce Back After Lackluster 2023 (Crunchbase)
🧠 Transformers for the win: Etched is building an AI chip that only runs one type of model (TechCrunch)
🧠 100 times less than that of the human brain: An ultra-energy efficient platform for brain-inspired computing (Tech Explorist)
⚛️ CEO interview: Build quantum on silicon says Equal1’s Lynch (EENews Europe)
Funding News
Good Reads
Credits: HuggingFace
“Over the past year, the benchmarks we were using got overused/saturated”
“Apple has showed a bunch of cool ideas for generative AI, but much more, it is pointing to most of the big questions and proposing a different answer - that LLMs are commodity infrastructure, not platforms or products.”
New course by Andrej Karpathy: “We are going to build everything end-to-end from basics to a functioning web app similar to ChatGPT, from scratch in Python, C and CUDA, and with minimal computer science prerequisits. By the end you should have a relatively deep understanding of AI, LLMs, and deep learning more generally.”
“Our goal with Claude isn't to create an incrementally better [large language model] but to develop an AI system that can work alongside people and software in meaningful ways.”
“Why does Alex believe that AI has the potential to be an even more powerful military asset than nuclear weapons?”
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