Xolda

MSc graduate AI student building Pocket CFO, an evidence-native finance cockpit for proof-backed finance workflows. Codexmaxxing !

[OpenAI Newsroom @OpenAINewsroom]

We recently submitted a confidential S-1. We expect it to leak so we’re just announcing it. We have not decided on timing yet; it may be a while because there are things we want to do that are likely easier as a private company. But it’s a complicated set of tradeoffs and this gives us the option to go public sooner if that ends up being best.

This announcement is being made pursuant to Rule 135 under the Securities Act of 1933, as amended, and does not constitute an offer to sell or the solicitation of an offer to buy any securities. Any offers, solicitations of offers to buy, or any sales of securities will be made in accordance with the registration requirements of the Securities Act.

[Wiktoria Milczyńska, MD @w_milczynska]

a london startup most people have never heard of has beaten OpenAI, Anthropic, Mistral & DeepSeek on coding benchmarks, two years running (!).

now the uk govt is backing it to build britain's first sovereign frontier ai model:

→ Lumen Sovereign, by Cosine
→ 100% uk-trained (Isambard-AI, one of europe's most powerful supercomputers)
→ £500m government programme behind it
→ runs fully inside your own walls, zero data leaving
→ co-designed with BT, Lloyds, NatWest, BAE & Babcock

"sovereign ai" just stopped being a buzzword.

[Peter Steinberger 🦞 @steipete]

Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.

You should be designing loops that prompt your agents.

[Anthropic @AnthropicAI]

New Anthropic Science Blog: Making Claude a chemist.

To manipulate a molecule, chemists first need to understand its structure. Their main tool is NMR spectroscopy.

We found Opus 4.7 matches—and on some tasks beats—dedicated NMR software. Read more: https://t.co/1jUvz7wdhV

[NVIDIA AI @NVIDIAAI]

Today we're shipping Nemotron 3 Ultra.

A 550B MoE frontier-intelligence open model built for long-running agents.

It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.

[MTS @MTSlive]

SITUATION DETECTED: Anthropic has published new data on its progress toward recursive self-improvement.

Claude now authors more than 80% of Anthropic's production code and Claude Mythos Preview achieved a 52x speedup on an internal coding benchmark.

[MTS @MTSlive]

SITUATION DETECTED: OpenAI has launched a new memory system for ChatGPT called Dreaming, which automatically synthesizes and updates user context in the background across conversations without requiring explicit save requests.

Rolling out to Plus and Pro users in the US today.

[Anthropic @AnthropicAI]

Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor.

It’s happening faster than we thought, and the implications deserve greater attention. https://t.co/OVVPJO7VQx

[OpenAI @OpenAI]

We’ve been researching new ways for ChatGPT memory to carry context across conversations and keep it useful over time.

Today, that work is rolling out as a more capable memory system in ChatGPT. https://t.co/0MyFKCe2Mu

[OpenAI @OpenAI]

We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale.

It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows.

https://t.co/SrAJ3Mt7ka

[SemiAnalysis @SemiAnalysis_]

Cerebras did what the industry calls impossible: turned an entire 46,225mm² wafer into one chip. Defects on silicon that big are inevitable, so they built in redundancy and custom per-batch masks that route around every bad core, landing near 100% usable wafers. The results: 900,000 cores and 44GB of SRAM on a single piece of silicon, no packaging, no off-chip hops. And they're not stopping there, now exploring hybrid bonding a DRAM wafer on top for even more fast memory. (1/4) 🧵

[OpenAI @OpenAI]

We’re making Codex more useful for your work by expanding plugins beyond individual tools.

These plugins turn Codex into a specialist for a specific role with a single install, no coding required.

Codex can access 62 popular apps and 110 skills for work across sales, data analytics, creative production, product design, and public equity investing.

https://t.co/nunrYP2uMI

[Xolda @667xoldd]

YESS

[Polymarket @Polymarket]

JUST IN: Anthropic offers EU access to Claude Mythos.

[Xolda @667xoldd]

No way. Crazy socialist . If that happens nobody outside the US (and maybe even in the US) would be trusting these AI labs.

[MTS @MTSlive]

SITUATION DETECTED: Senator Bernie Sanders has called for a law granting the federal government a 50% stake in each AI lab to create a public sovereign wealth fund.

[MTS @MTSlive]

SITUATION DETECTED: Nvidia has announced RTX Spark, its first consumer chip for Windows laptops and desktops.

The ARM-based superchip combines a 20-core Grace CPU, Blackwell GPU, and 128GB unified memory in a single package. Coming Fall 2026.

[Sam Altman @sama]

OpenAI Robotics is hiring, looking for exceptional full-stack hardware, ops, systems, and ML engineers to help us program and manufacture robots that are useful for society.

AI should be able to help people in the physical world. In the short term, we are focused on robots to support skilled workers to build our future infrastructure; in the long term, we imagine everyone having a personal robot doing anything they need.

Our world simulation research program, led by Aditya Ramesh (@model_mechanic), has evolved over the past year into OpenAI Robotics. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research.

If you love working hands-on across the robotics stack and want to build the future, please consider joining us. Send an email with your background and evidence of exceptional accomplishment to: [email protected]

[The Analyst @MMatters22596]

$NVDA CEO Jensen Huang basically called to buy energy stocks.

This is the biggest bottleneck of the Data-center buildout.

Here are 5 stocks that have 10x potential👇

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

AI is unlocking breakthroughs in quantum computing.

🤝 We collaborated with the University of Innsbruck to tackle a core challenge in building useful quantum supercomputers: automatically designing efficient quantum circuits.

Using NVIDIA CUDA-Q, we built a multimodal diffusion model to synthesize quantum circuits from scratch, optimizing circuit structure and gate parameters simultaneously to produce shorter, lower-error circuits.

💡 The standout result: the AI model independently rediscovered the Quantum Fourier Transform — without being told what the solution should look like.

🔗 Learn more: https://t.co/y0nh9i7Tiu

[Xolda @667xoldd]

Nvidia finally releasing arm-powered chips. Was waiting for this for long!! Bullish $NVDA

[NVIDIA @nvidia]

A new era of PC.

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