Xolda

codex is becoming a full agentic IDE

GPT 5.4 pro as a planner in the codex SuperApp would be UNSTOPPABLE !

Really hard to catch up lately 😮‍💨

Hi! To celebrate its 1-year anniversary, I have allowed Codex to reset its own rate limits across all plans. Enjoy all the new features.

This is the first time I've ever seen an LLM operate a GUI as fast as a person, and it's surreal.

Announcing GPT-Rosalind, our frontier model for life science research. This model is a step towards one of our most important goals — accelerating science and improving human outcomes. Excited to work with many amazing partners on deploying and improving this model.

Codex Compute efficient ✅ Always up, never down ✅ Best at hardcore engineering ✅ Crazy good app, first to escape the terminal ✅

Lots of major improvements to Codex! Computer use is a real update for me; it feels even more useful than I expected. It can use all of the apps on your Mac, in parallel and without interfering with your direct work.

Introducing GPT-Rosalind, our frontier reasoning model built to support research across biology, drug discovery, and translational medicine.

Delighted to see Anthropic expand in London. This move reflects London’s leadership in AI and the exceptional talent and infrastructure our city offers.

Today we're releasing Personal Computer. Personal Computer integrates with the Perplexity Mac App for secure orchestration across your local files, native apps, and browser. We’re rolling this out to all Perplexity Max subscribers and everyone on the waitlist starting today.

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

Anthropic has announced that it is massively expanding its London presence. It’s just secured a new office for 800 people - a huge jump from its 200 current employees. OpenAI announced its first permanent office in London this week and now @AnthropicAI is doubling down. Meta, OpenAI, DeepMind, wayve and so many others have huge offices in London. It’s becoming the leading AI hub outside of the US. LETS GO

Boris Cherny created Claude Code and thinks IDEs are finished by end of year. This is his 28-minute masterclass on how Anthropic uses it internally. Worth watching.

We’re expanding Trusted Access for Cyber with additional tiers for authenticated cybersecurity defenders. Customers in the highest tiers can request access to GPT-5.4-Cyber, a version of GPT-5.4 fine-tuned for cybersecurity use cases, enabling more advanced defensive workflows. openai.com/index/scaling-…

Instead of watching a 2-hour movie tonight, watch this podcast with Dario Amodei. You’ll learn more about AI, leverage, and the future in 120 minutes than most people do in 2 years. This isn’t content. It’s a mindset upgrade.

Karpathy's LLM Wiki got 5,000 stars in 48 hours. Now someone extended it with the features it was missing. Memory lifecycle. Confidence scoring. Knowledge graphs. Automated hooks. Forgetting curves. It's called LLM Wiki v2. The original pattern was brilliant. AI builds a wiki instead of re-deriving knowledge from scratch every time. But it treated all knowledge as equally valid forever. In practice, that breaks. Here's what v2 adds: → Confidence scoring. Every fact carries a score. How many sources support it. How recently confirmed. Whether anything contradicts it. Knowledge that decays over time. Not everything is equally true forever. → Memory tiers. Working memory for recent observations. Episodic memory for session summaries. Semantic memory for cross-session facts. Procedural memory for workflows. Each tier more compressed and longer-lived. → Knowledge graph. Not flat pages with links. Typed entities with typed relationships. "A caused B, confirmed by 3 sources, confidence 0.9." Graph traversal catches connections keyword search misses. → Hybrid search. BM25 for keywords. Vector search for semantics. Graph traversal for structure. Fused with reciprocal rank fusion. Replaces the index .md file that breaks past 200 pages. → Automated hooks. On new source: auto-ingest. On session end: compress and file. On schedule: lint, consolidate, decay. The bookkeeping that kills wikis is now fully automated. → Forgetting curves. Facts that haven't been accessed or reinforced in months fade. Not deleted. Deprioritized. Architecture decisions decay slowly. Transient bugs decay fast. → Contradiction resolution. AI doesn't only flag contradictions. It resolves them based on source recency, authority, and supporting evidence. Here's the wildest part: The original LLM Wiki was a flat collection of equally-weighted pages. This turns it into a living system with memory that strengthens, weakens, consolidates, and forgets. Like a real brain. "The Memex is finally buildable. Not because we have better documents or better search, but because we have librarians that actually do the work." Built on lessons from agentmemory, a persistent memory engine for AI agents. Extends Karpathy's original. Open Source.

If you want your OpenClaw or Hermes Agent to be able to have perfect total recall of all 10,000+ markdown files, GBrain is here to help. It's exactly my OpenClaw/Hermes Agent setup. MIT-licensed open source. Hope it helps you build your mini-AGI. github.com/garrytan/gbrain

Build POLISHED UI with Codex GPT-5.4 is a real step forward for front end design. Here’s how to enable good UI design​​​​​​​​​​​​​​​​:

OpenAI is working on a new experimental feature for Codex called Scratchpad. Users will be able to start multiple Codex chats from a TODO list view, which will be executed in parallel. It will become very instrumental in the upcoming Codex Superapp, where you will be able to trigger a broader range of tasks to achieve your goals. * Not available yet 👀