Know What's Happening in AI
Know What's Happening in AI
AI boom likened to fracking as $200B pours into startups
The Financial Times likens today’s AI surge to the fracking boom, noting that AI startups secured over $200 billion in 2023 funding and that compute demand now rivals the energy intensity of oil extraction. The piece warns that, similar to fracking, speculative capital inflows could fuel a bubble.
Also developing:
By the numbers: Doctolib raises $324M in secondary share sale
Perplexity has launched a free AI‑powered personal shopper for U.S. users ahead of the holiday season, allowing shoppers to type queries, refine results and purchase items directly through the platform via PayPal’s Instant Buy integration. The assistant remembers prior interactions to tailor recommendations, displays product cards with specs and reviews, and is currently available on desktop and web with iOS and Android apps arriving in the coming weeks. Perplexity positions the service as a more intent‑driven alternative to traditional search bars and affiliate‑heavy editorial sites, emphasizing a "joy of shopping" experience rather than just fast checkout.
I agree. Incredible interview by @dwarkesh_sp of @ilyasut. I could listen to both for months and not get bored. It's like being at a great university and hearing the best professor. I love X. This just LIT UP the AI community....
One AI use case that is only getting more popular: LLM as a judge. Everyone still talks about AI generating more content, but not enough people are talking about: 1) the horrific deluge of noise we're going to have to deal...
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...
I think it is somewhat true though that scaling helps with benchmark performance but not necessarily with with new model capabilities. Like the example he mentioned > U: "Please code xyz." > M: "Ok here is xyz." > U: "You have a bug." >...
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...
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...
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...
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...
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...
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...
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...
@_The_Prophet__ TPUs have been more stable for training than CUDA equivalents for a couple of years now, especially on large batch sizes XLA is pretty good now! For inference it makes even less of a difference (We previously trained sota models on thousands...
it is wild how far we’ve come since the hot image gen summer of 2022 image cred: @bfl_ml https://t.co/i5KbszlFDM
the community’s favorite image creation and editing model just got better: welcome, FLUX.2 by @bfl_ml 🤩 https://t.co/iLrbYYK4bd
So you are a CV engineer, what do you know about Computer Vision? I have used YOLO for... https://t.co/lX4OrFFYqE
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...
