The Genesis Mission's Impact on the Global AI Race
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.
OpenAI Positions Codex as Team Member, Not Tool
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...
Stop Patching CX: Why Integration Is the New Standard
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...
Wyze’s New Security Camera Watches Your Yard From Inside Your Home
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...
Open Collaboration Fuels AI Boom and Scientific Innovation
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...
Partnering with Signals Vendors Turns Outbound Into Cash
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 Enables Data‑Driven, Personalized Rehabilitation Insights
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...
After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
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...
Build a Dream Team Before Hiring an Investment Bank
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...
Visibility, Not Budget, Wins in AI-Driven 2026
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...
The Trump Administration Just Launched Its Own Plan for Global AI Dominance and What Could Go Wrong?
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...
Adaptive 2D Gaussians Redefine Image Compression and Restoration
📢 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...
Coach, Don’t Dictate: Use GROW to Empower Teams
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...
I Found the World's Fastest Mini PC with an Intel CPU that Trounces the Mac Pro's M2 Ultra — and...
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...
Bridge Sales‑Marketing Gaps with Unified Mindset Strategies
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...
Microsoft’s AI Chatbot Copilot Leaves WhatsApp on January 15
Microsoft announced that its AI chatbot Copilot will be removed from WhatsApp on January 15, 2026, directing users to its own mobile apps or the web portal. The pull‑out follows WhatsApp’s revised platform policies that bar general‑purpose AI bots from...
New AI Tests Need Fresh Images; Recipe Finally Clarified
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,...
Pretrain, Fine‑tune, and Let Big AI Solve Tasks
@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...
How to Spot and Defeat the “Right Problem, Wrong Solution” Manipulation Tactic That’s Everywhere
The episode explains the pervasive "right problem, wrong solution" manipulation tactic, showing how it hijacks thinking in sales, politics, and media by reframing issues to push predetermined solutions. Christopher Penn breaks down the psychological mechanics behind the tactic, offers concrete...
LLMs Know Popular APIs, Need Docs for Obscure Ones
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...
Discover PyTorch’s Pixel_unshuffle: Skip Custom Tensor Hacks
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...
Speechify Adds Voice Typing and Voice Assistant to Its Chrome Extension
Speechify has expanded its Chrome extension to include voice typing and a conversational voice assistant that can answer questions about web content. The new dictation feature supports English, corrects errors and filler words, but early testing shows higher word error...
Clear AI Rules Accelerate Trust and Innovation
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's Temporal Hacking Threatens Autonomy and Democracy
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...
AI Video Agents Halve Downtime, Boost Resolution Speed
Congrats to Cerrion on their $18M Series A! Factory downtime costs manufacturers $1.4T annually (up 319% since 2019). Cerrion's AI video agents monitor production lines in real time, detecting quality issues, safety risks, and process deviations—then intervene automatically. Manufacturers like Unilever and...
AI Landing Page Tools Score Poorly in Real Audits
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...
Solar-Powered iLamp Turns the Humble Lamppost Into an AI Hub
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...
90‑second Explainer Videos Drive Top Engagement
@jeffkmains @Target @AskTarget Explainer videos right around 90 seconds tend to do very well.
15 Essential Architectural Traits for Building Robust AI Agents
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
Beyond Scaling: Engineering Tricks Now Drive AI Progress
@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).
MicroConf Talk Powers SaaS Playbook Pricing Section
@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.
Create Custom Video Detection Models in Minutes
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
Seeing Benchmaxxing, Ilya Launches Company for Proper LLM Development
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.
Building Great Products Is Hard: Bloat, Maintenance, Integration
@jasonlk Taste is hard (hello feature bloat) Maintaining is hard Legit integrations are hard
Machines Exploit Shortcuts, Creating More Correct‑unintended Rules than Humans
@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...
Machines Craft Meaningful Unintended Rules; Humans Produce Nonsense
@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 ⬇️
2025 SaaS Video Marketing Trends That Actually Work
#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...
CMOs and CFOs Align: Data Shows Revenue Gains
The CMO-CFO relationship: Here’s what the numbers say https://t.co/R5srOt2Ewj
AI and Energy Tech Converge to Transform Industries
@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: 📺...
Vibe Coding May Intensify Pricing and GTM Pressure
@jasonlk Agreed. Do you think tho that the threat of vibe coding plus ability for more competitors to emerge will create more pricing and gtm pressure?
AI, Energy, Infrastructure Converge to Transform U.S. Economy
@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.
Answer Engine Drives Nearly 4x ROI for B2B Leaders
Check out our new B2B Thought Leadership research that uncovers the 'Answer Engine': How top performers achieve nearly 4x higher ROI https://t.co/98EPovULaW via @toprank & @Ascend2research https://t.co/5a1Xt1LTtZ
Hybrid Search on 1.2M Samples: BM25 & Embeddings
1.2 million samples. BM25, Embeddings and Hybrid search. Tutorial and code comes tomorrow! Stay tuned! https://t.co/FlmaDlpASR
Embeddings Beat LLMs for Fast, Cheap Classification
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)
Net Revenue Retention: The Ultimate SaaS Success Indicator
“NRR is the metric that matters most.” Aleks Đekić (CEO @ Alguna) breaks down why Net Revenue Retention is the clearest signal for a billing infra company with long sales cycles + expansion potential. Ep 219 👇 YT: https://t.co/qcHlPohaTO #SaaS #AI https://t.co/WYxJradGbn
LLM
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
Clustering Embeddings Drives Dynamic Ontology Exploration
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 Takes Lead in AI Coding Competition
Anthropic won the AI coding race 😏
Embedding Classification Beats Fastest Model on Speed, Cost
@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
Modern VLMs Struggle with Long‑Horizon Household Tasks
Our most recent work that benchmarks modern VLM and their efficacy for long horizon household activities in robotic learning, using BEHAVIOR benchmark environment.👇