$IBM has unveiled its first quantum computer in Illinois at Chicago's Hyde Park Labs. The IBM Quantum System Two is powered by its Nighthawk processor, the most powerful quantum processor IBM has built. The system will eventually move to the Illinois Quantum and Microelectronics Park, where it will anchor the National Quantum Algorithm Center. IBM also plans to create 750 jobs at its FutureNow Chicago innovation center.

AI twelve months ago predates Claude 4.5. That model was a genuine shock to the system. Two years ago feels like a museum exhibit. You look at it and say: you’re not going to believe this was state of the art. At the current rate of improvement, by the end of next year it is not clear there is anything digital that AI will be unable to do. Source I Elon Musk

18 years ago today, a stranger changed money forever. On October 31, 2008, Satoshi Nakamoto sent a 9-page paper to a cryptography mailing list with an idea and a name nobody had heard before: "Bitcoin: A Peer-to-Peer Electronic Cash System." Two months later, Satoshi mined the very first block and hid a London Times headline inside of it about banks on the brink of a second bailout. Days later, the first transaction on Bitcoin took place, with 10 BTC moving from Satoshi to Hal Finney. By 2010, Bitcoin was real enough that Laszlo Hanyecz traded 10,000 of them for two pizzas. And then Satoshi started to fade. The forum posts stopped in December 2010, and in April 2011, one last email said "moved on to other things." Since then, $BTC has grown far beyond what anyone could have imagined, even without its creator. It survived four halvings, became legal tender in El Salvador, Wall Street got spot ETFs, the US government created a Strategic Bitcoin Reserve, and in October 2025, it touched an all-time high of $126,198. Happy 18th Birthday, Bitcoin! 🎂🧡

Still calling an LLM for every single memory operation your agent makes? This paper splits that work between a "fast brain" and a "slow brain" instead. Title: Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents URL: Inspired by dual-process cognition (System One vs. System Two), Jev-Mem handles most memory operations with lightweight structured decisions and reserves the LLM for genuinely complex reasoning. Three highlights stand out. 🧠 Typed System-One control Frequent operations like typing, relation judgment, and query routing run through a lightweight interface that returns probabilities and labels instead of free-form text — the same control layer governs both memory construction and retrieval. 🕸️ A four-relation memory graph Memory is organized across semantic, temporal, causal, and entity relations, with retrieval budget allocated to whichever views matter most for a given query — avoiding wasted traversal. 📊 Accuracy and speed improve together On the LoCoMo benchmark, Jev-Mem scores 0.777 overall, an 11% gain over the best baseline, while building memory 6.6x faster (158 seconds) and answering queries 36.7% faster (0.93 seconds). What stands out to me is that separating control from reasoning improved accuracy and efficiency at the same time, not one at the expense of the other. #AIAgents# #MemoryArchitecture#

Today, @IBM and @LockheedMartin, together with @ETH_en Zurich, the Swiss Federal Institute of Technology, launched a new quantum innovation hub in Switzerland: The new hub will soon host the country’s first IBM Quantum System Two

The businesses that struggle with sales almost always have the same problem... and it's not their product, pricing, or sales team. It's that they're trying to sell to people who aren't ready to buy yet. They generate a lead, follow up immediately, and push for a conversation before the prospect has had any reason to trust them. The sales team works hard, the conversion rate stays low, and everyone blames the leads. The leads aren't the problem - the sequence is. When you build a system that collects signals before asking for a sale (such as an assessment someone fills in, a waitlist they join, data they voluntarily hand you about their situation and their buying criteria) two things happen: 1. The prospects who aren't ready filter themselves out before your team ever touches them. 2. And the ones who are ready arrive with enough trust, context, and intent that the sales conversation barely feels like selling. I've spent 25 years refining this into a system that generates demand consistently, qualifies it automatically, and converts it predictably. On Thursday 27th August I'm running a free 90-minute Masterclass where I'll walk you through the entire thing - The 7-Figure Demand System. Two sessions to choose from. Sign up here:

NEWS: Starlink is now installed on 639 United Airlines aircraft, covering 43% of the fleet. The rollout includes: • 351 regional aircraft • 282 narrowbody aircraft • 6 widebody aircraft Starlink is now available on 47% of United’s daily flights systemwide. More aircraft are getting connected with high-speed satellite internet.

🚀 Codex CLI 0.160.1 is out! 🪟 Windows env vars preserved for remote stdio MCP servers 🔧 SYSTEMROOT, TEMP, TMP kept with custom remote env 🐧 Unix hosts retain Windows executor startup environment Changelog:

# Practical ways to use the Claude Agent SDK 📝 Customize system prompts flexibly with three levels: preset, append, and full replacement. System Prompt Modification offers three levels of customization via `systemPrompt`: Claude Code preset, append, and custom string replacement. 📌 Title: Modifying System Prompts 🔗 URL: 🧩 Overview Use `preset: "claude_code"` for the full Claude Code prompt, `append` to add to the preset, or a custom string for complete replacement. Output style files enable cross-CLI/SDK persona reuse. 🛠 How to use it `system_prompt` accepts three forms: preset with `{"type": "preset", "preset": "claude_code"}`, append with `"append": "extra instructions"`, or a custom string for full replacement. Use `excludeDynamicSections: true` for cross-session prompt cache sharing. 🏗 Practical usage - For coding agents, use `preset: "claude_code"` for the full prompt with tool guidance and safety rules. - Append team conventions like "Always add docstrings and type hints to Python" — the safest customization that removes nothing. - For support bots or data analysis assistants with unique personas, use a custom string for complete replacement. - Use `excludeDynamicSections: true` to share prompt cache across users/machines and reduce fleet costs. 💡 Use cases 🤖 Claude Code-compatible coding agents 📋 Automatic team convention enforcement 🎭 Custom persona agents ⚠️ Watch out When using custom string replacement, you must provide your own tool guidance and safety instructions. `excludeDynamicSections` requires TS v0.2.98+ / Python v0.1.58+. #ClaudeAgentSDK# #AI#

$AAPL LAUNCHES NEW SIRI AI WITH PERSONAL CONTEXT Apple has begun rolling out Siri AI in beta with iOS 27, adding personal context across messages, emails and photos, along with onscreen awareness and systemwide app actions. The new Siri can find information across a user’s device, understand what is on screen, draft emails, add calendar events and take actions across supported apps. Apple says the new Apple Intelligence architecture uses its own foundation models built in collaboration with Google and Gemini, with processing split between on-device models and Private Cloud Compute. Siri AI will initially support English on Apple Intelligence-capable devices, including the iPhone 15 Pro and newer. It will not initially be available in the EU on iOS, iPadOS or watchOS, and Siri AI and the new Apple Intelligence features will not be available in China while Apple works through regulatory requirements. Apple also says some server-side AI features will have daily usage limits, with expanded access available for a fee in the future.