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.
@_The_Prophet__ TPUs had low availability for ages and also low memory relatively on the v6e especially versus the hoppers working pretty much out of the box similar to a100s Grace Blackwell is the next thing that needs reworking so there is...
I was spending 30+ hours a week on stuff that has zero impact on growth. Scheduling meetings. Updating spreadsheets. Missing my kids' bedtime because I was answering emails until midnight... That’s when it hit me: I didn’t need more hustle....
Based on the Enterprise SaaS CEO Mastermind meeting, this is what we discussed:
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....
Deep Search from @yuma_dot_ai is a new way to access Customer Voice. Brands struggle to find patterns in thousands of support tickets, so critical issues go unnoticed for days. Deep Search uses a ChatGPT-like interface to scan the entire ticket cloud in...

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...
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...
So thankful to Ann Handley and the entire MarketingProfs team for allowing me main stage time for a very important concept I've been sharing. The TLDR: Someday soon, our glasses, cars, phones - everything - will create synthetic content on...
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...
Just spoke to a friend who founded an early-stage AI startup (yes, this was an actual conversation - not one of those LinkedIn “I was just chatting with…” cold opens 😭). We were talking about a real dilemma: enterprise buyers...
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." >...
The post argues that relying on patchwork tools for customer experience (CX) creates fragmented journeys that cost businesses billions, and that seamless integration of systems is now the baseline expectation for customers. It illustrates how disjointed touchpoints—like repeated data entry...
PING! You ship that super interesting, well-written blog post. People love it. Traffic spikes, comments roll in… then things start to settle down. PING! You fire off a hot take on LinkedIn. Debate flares up in the comments, your audience...
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...
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...

Pocus just closed a $100,000 deal FOR us. Why??? Because these 3 outbound plays inside Pocus PRINT MONEY. Here’s the breakdown 👇 BACKGROUND When we launched RB2B in March of last year, I thought every “signals” vendor was a competitor....

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...
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...
What key things should founders look for when hiring an investment bank to help sell their business or raise capital? Most software founders don't know exactly who needs to be involved in order to pull off a successful sale or...
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...
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...

A new blueprint for founders who refuse to stay invisible in the year of AI disruption. Thank you for reading my newsletter, Un-Ignorable Brands, where I share my tips for small business owners and brands who want to go from...
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...
📢 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...
My top takeaways from executive coach Rachel Lockett : 1. The biggest skill gap in new leaders is knowing when to coach vs. when to tell people what to do. When you constantly provide answers, you train your team to...
Have you ever wondered why so many companies struggle to align their sales and marketing teams? The misalignment often stems from the different mindsets that each team brings to the table. Marketing typically zeroes in on the top of the...
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...
B2B marketers are prioritizing #AI tools for 2026 https://t.co/txvQbppcAJ
Reachy mini is my new podcast assistant! Coming soon with @ti_morse... https://t.co/VfUQn1Cgz6
@DevDminGod this is pretty good! i didn't know grok imagine could do such decent hindi
Beam (@beam_cloud) is an open source serverless platform for AI apps. Run GPU inference, background jobs, and sandboxes with ultrafast boot times and no vendor lock-in. https://t.co/xlMRBl43Yr https://t.co/b0MGB5k5TU
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...
it is wild how far we’ve come since the hot image gen summer of 2022 image cred: @bfl_ml https://t.co/i5KbszlFDM
@jeffkmains @Target @AskTarget Explainer videos right around 90 seconds tend to do very well.

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
@ronzilla @_lhermann Thanks! Also did a talk at MicroConf that covers all of these questions: https://t.co/nWzaXhZLyI The SaaS Playbook section on pricing is an adaptation of this talk, with a bit more info included.
@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
Building video detection models used to take months. With @DragoneyeAI's interactive playground, you can now build and deploy custom video models in minutes - simply describe what you want to see. https://t.co/WvW8IiNUTa https://t.co/QfSw34I4GQ
@_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...
the community’s favorite image creation and editing model just got better: welcome, FLUX.2 by @bfl_ml 🤩 https://t.co/iLrbYYK4bd
@jasonlk Taste is hard (hello feature bloat) Maintaining is hard Legit integrations are hard
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...
#SaaS Video #Marketing Trends: What Actually Works in 2025 - B2B Marketing Blog | Webbiquity - https://t.co/JXmCYFiQ67 Also, I think I'm just going to start adding #TargetSucks to every tweet. Obviously, @Target and @AskTarget don't care how badly they abuse their...
@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 ⬇️
The CMO-CFO relationship: Here’s what the numbers say https://t.co/R5srOt2Ewj