What's happening: Telcos pivot to AI revenue models as new monetisation frameworks emerge
A GSMA Intelligence report released at MWC 2026 shows telecom operators are shifting AI projects from internal cost‑saving tools to revenue‑generating services. The study outlines three new monetisation models—AI Connectivity Provider, AI Compute Provider, and AI Solutions Partner—backed by pilots from Singtel, Reliance Jio, Deutsche Telekom, SK Telecom and KDDI.
Also developing:

President Donald Trump announced the Genesis Mission, a DOE‑led initiative that unites 17 federal labs with tech giants such as Nvidia, Microsoft, and OpenAI to fuse supercomputing, AI and quantum capabilities. The platform aims to generate massive scientific datasets, accelerating AI‑driven discovery in energy, materials and advanced manufacturing. Framed as a modern Manhattan Project, the effort seeks to cement U.S. dominance in the global AI race, particularly against China. By granting private firms regulated access to compute and data, the mission blurs the line between public research and commercial innovation.
Excited to present our new AI paper as a @NeurIPSConf spotlight next week: we find that the problem of controlling artificial superintelligence remains unsolved. With simulations and scaling laws, we find that an implementation of the least unpromising...
OpenAI is very deliberate about how they talk about Codex. It's not positioned as an operating system. It's heavily positioned as a teammate. Their site says: "Your new coding partner", "accelerates your team" Their job postings say: "we're building an AI software...
Wyze has launched a $34.99 Window Cam that monitors a yard from inside a rear window, eliminating the need for batteries, exterior power, Wi‑Fi extenders, or weatherproofing. The 1080p camera offers a 101-degree horizontal field of view, enhanced color night...

SAM 3D is helping advance the future of rehabilitation. See how researchers at @carnegiemellon are using SAM 3D to capture and analyze human movement in clinical settings, opening the doors to personalized, data-driven insights in the recovery process. 🔗 Learn more about...
Excited about the Genesis mission - congrats to @POTUS @SecretaryWright @ScienceUnderSec @mkratsios47 @sriramk! We've experienced first-hand how more openness and collaboration in the US can massively accelerate progress. In my opinion, that's what led to the current AI boom and US...
Fei-Fei Li and Justin Johnson discuss their new platform Marble, a generative world model that turns text, images, and spatial inputs into editable 3D environments, highlighting its technical core of Gaussian splats and real‑time interactivity across devices. They argue that...
The Trump White House issued the Genesis Mission Executive Order, directing the Department of Energy to create a government‑run AI platform – the American Science and Security Platform – that will leverage federal scientific datasets to train foundation models and...
📢 Image-GS: Content-Adaptive Image Reconstruction using 2D Gaussians In this week’s deep dive, we explore Image-GS, a groundbreaking framework that reimagines how images can be represented, compressed, restored, and upsampled using adaptive 2D Gaussian splats. Unlike traditional codecs or neural...
Lenovo’s ThinkCentre M90s Gen 6 mini PC, equipped with an Intel Core Ultra 9 285 (24‑core, 65 W) processor, outperforms AMD’s Ryzen AI Max+ and Apple’s M2 Ultra on PassMark benchmarks while fitting into a 340 × 93 × 300 mm chassis. Priced at $1,329 after a $570 Black‑Friday...
One more comment is that giving this image to an AI and asking about it is not sufficient to show the diff because it's all over the training data by now. You'd have to use a new, very recent image,...
@matejhladky_dev AI has crushed it since this post way beyond expectation. I made the same category of mistake all of AI was making, of thinking we have to discover and write the algorithm. You don't. You pretrain and then finetune...
British greentech firm Conflow Power Group has launched the iLamp, a solar‑powered streetlight that doubles as a micro AI data centre using Nvidia Jetson processors. Each unit generates 200‑600 watts from a self‑cleaning panel, consumes 80 watts for lighting and...
I've had medium success asking LLMs if a thing exists, it works out of the box for some of the more well-known things (e.g. both GPT 5.1 and Gemini 3 know about this function if you describe the tensor transformation...
Always a slightly mixed feeling to write pretty good first-principles code to do some tensor rearrangement, only to find that PyTorch has a built in function that does it faster. I had made a point of at least skimming the docs...
President Trump announced the Genesis Mission, an AI‑focused "Manhattan Project" that directs the Department of Energy to create a closed‑loop AI experimentation platform linking the nation’s 17 national labs, federal supercomputers and decades of government scientific data. The initiative aims...
85% of organizations believe responsible AI is a top management issue. Yet only 25% have governance mechanisms in place to address it. This trust gap is costing companies dearly. In Europe alone, 68% of companies don't understand their EU AI...
AI manipulation techniques revealed. For our free newsletter this week, we cover temporal hacking: AI systems that game human attention over months. @IrenaCronin and I write this newsletter every week. Temporal hacking describes AI systems that optimize for long term outcomes by subtly...

We scored every major AI landing page analyzer across the same criteria we use for real CRO audits. Comprehensiveness. Specificity. Originality. Realistic implementation. Correctness. The highest score was 5/15. Several landed at zero. This isn’t a knock on AI. It’s a reflection of...
Chat made AI feel real for the first time. A blank box. A question. A response that sounded alive. It created the belief that conversation was the natural interface for intelligence. But the chat window is the smallest view of...
Chat made AI feel real for the first time. A blank box. A question. A response that sounded alive. It created the belief that conversation was the natural interface for intelligence. But the chat window is the smallest view of...
Generative, agentic, and autonomous AI raise new challenges that affect both decisions and careers. • Who is accountable when automated advice causes harm • How do we manage control when agents act across multiple systems • How do we sustain...
#3 reduces utility because of congestion. Self driving public transit like @glydways is a much better answer that reduces costs, reduces time to destination and increases thruput 10X in humans transited per hour for any given street width. Time...
Matt is right about NVIDIA's competition. No one can meet demand. We need all hands on deck. And Jensen didn't even talk about its Jetson product line in the latest earnings report. Entrepreneurs tell me they have to wait eight weeks...
Are we in an AI bubble? 🤖💭 There is more talk than ever about AI hype, inflated valuations, and whether the bubble will burst. In this video I break down what is really happening in the AI market, why both...
Ever wondered how AI “remembers” your question… without having memory? 🤔 Every time you chat with an LLM, it somehow knows what you said before. But here’s the secret: It doesn’t remember your words. It understands meaning through something called embeddings. Embeddings are how machines...
You get Opus. And you get Opus. And you get Opus. Genspark uses more tokens than almost any company. At its press event last week the founder proudly held up a trophy from OpenAI proving so. Out of all the American companies...
Here's our paper: https://t.co/RmNft3zU5Z
@dwarkesh_sp @ilyasut “The Age of Scaling is over.” I agree with that. Basically, since GPT 4.5 a lot of the perceived real-world progress was driven by clever engineering wrappers (context filtering, inference scaling, multi-turn tricks, retrieval, tool use, etc).
Just shared this brilliant mind map on the 15 key architectural characteristics of AI agents — absolutely packed with insights! Modularity, evolvability, context awareness, security compliance… everything you need to design robust agents. Huge thanks to @Python_Dv for creating this gem
Ok, so what Ilya saw was extreme benchmaxxing, which in turn prompted him to create his own company to do LLM development the proper way?! Makes sense, I sympathize with that.
@giffmana @dileeplearning the "correct-unintended" rules were just that -- correct on the demonstrations but using "shortcuts" (e.g., the numerical value of a color). We also saw a small percentage of "correct-unintended" rules that humans generated, but much less...
@giffmana @dileeplearning There was a big difference between "not classified" rules generated by humans and "correct-unintended" rules generated by machines. For humans, the "not classified" rules were generally humans writing nonsensical things like ⬇️
@UmmayHabiba0 @SchneiderNA Certainly. We’re witnessing a major shift in real time. AI and energy tech are finally converging in ways that will reshape how industries operate and how infrastructure is built. Here’s the video if you’d like to take a look: 📺...
@the_AI_girl @SchneiderNA Absolutely, the momentum building across AI, energy, and infrastructure is setting the stage for a major transformation in the U.S. economy. I just shared more of my insights here on @LinkedIn : https://t.co/WwaOkGdcNm Big shifts ahead.
1.2 million samples. BM25, Embeddings and Hybrid search. Tutorial and code comes tomorrow! Stay tuned! https://t.co/FlmaDlpASR
totally forgot about this experiment where i found it was faster and cheaper to do classification via embeddings vs using the fastest/cheapest llm (at the time)
@jasonth0 did an experiment a bit back, and found that embedding based classification seemed consistently faster and cheaper than using the cheapest/fastest model (at the time) https://t.co/uuEPwu88cg
kinda like this, but instead of using vec2text - i found grabbing a few samples from each cluster and feeding into an llm came up with better names (not surprisingly) https://t.co/K8phyyDFdR
last weekend i went down the rabbit hole of how to build dynamic ontologies, and kept coming back to clustering of embeddings curious if anyone has cool experiments i could look at around this
Anthropic won the AI coding race 😏
Our most recent work that benchmarks modern VLM and their efficacy for long horizon household activities in robotic learning, using BEHAVIOR benchmark environment.👇

Link to the OpenAI guide here: →https://t.co/9pQoaiMq5i https://t.co/M1STn4lgjt
OpenAI just dropped an ace playbook for AI-native engineering teams! It explains how coding agents can now run the entire SDLC (planning, coding, testing) while humans make the high-level decisions. A clear, practical framework for hybrid engineering. Free download in 🧵↓ https://t.co/N2vSskm1Pr
NanoBanana Pro is insane. I love how @_philschmid used it to create a whiteboard that breaks down Gemini 3’s prompting best practices 🔥 https://t.co/8Wia9rJR02
For Gemini 3, I don't rule out bugs in @cursor_ai — as many new features don't work, worktrees getting trashed or even renamed (!) mid-way through agent working. But since Opus 4.5 manages around those bugs, it can't...
My verdict is that it's significantly better than Gemini 3. It's at least as smart and just got more polish to it. Alignment on little details also significantly higher. Gemini 3 gets many things mixed up after a half-dozen messages, and...
With Opus 4.5, it seems you don't need to ask multiple times or ORDER it to do work, it just gets stuff done — even beyond 50% the token limit and after chat compaction! This kind of message is a thing...
LLMs haven't hit their "smartness" limits yet.