LisaSchwartz (@LisaSchwartz) header
LisaSchwartz (@LisaSchwartz) profile picture

Join my podcast, Walking the Dogs, for a deep dive into growth marketing strategies for B2B SaaS, subscription, and systems companies. #AI Marketing #GrowthMktg

San Jose, CA
Joined August 2008
Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)Photo by LisaSchwartz (@LisaSchwartz)
Your Dashboard Is Not a Diagnosis open.substack.com/pub/walkin…
2
113
Amen!
Intelligence must draw on memory. The mind must not simply compile data — as an algorithm now does more quickly than we can — but recall lived experiences, which contain depths of meaning that only the human soul can recognize, and connect more deeply with the goodness of these experiences. Everything that is good begins “with the Spirit” and thus possesses a breath, a dynamism and a sense of communion that, once experienced, are engraved upon the heart. vatican.va/content/leo-xiv/e…
44
My favorite launch, maybe of all time....
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
40
Pure innovation
We launched America.gov today. The federal government has over 27,000 websites. Most are outdated and confusing. You can't just fix one site at a time. So we built one beautiful product to replace them all. One place to find anything you need in the government and get it done. Check it out below and let me know your thoughts!
45
LisaSchwartz retweeted
This is just the first step. Soon you’ll be able to take actions too: compare and enroll in Medicare plans, apply for a passport, update your name across agencies, and more. Things that can take hours of searching, forms, and jumping between sites today should eventually be doable from one place in a matter of a few clicks.
8
31
3
734
115,674
This #AEO is a great development @AnnieCushing
Google is now allowing publishers to embed a Preferred Sources button on their websites, letting readers mark a site as a favorite source they want highlighted more often across Google Search, Discover, and Google News. The feature follows Google's rollout of Preferred Sources in May for AI Mode and AI Overviews, where it was previously limited to Top Stories. Learn more: techcrunch.com/2026/08/20/go… #AI #ArtificialIntelligence #TechNews #Google #FutureOfWork #SEO #DigitalMarketing #Journalism #ContentStrategy #AINews #DigitalMedia #SearchEngineOptimization #Media
1
147
Before You Fix the Growth Problem, Decide Where You're Going walkingthedogs.substack.com/…
68
LisaSchwartz retweeted
Starbucks spends $400 million a year on software. Yesterday they announced they're moving off IBM and Microsoft to build their own custom systems in-house. IBM dropped 3% and Salesforce dropped 4% on the news. And honestly this is, unequivocally, the biggest signal I've seen since OpenAI and Anthropic launched their consulting arms back in Q1. The largest companies in the world are done paying for software that half fits how they work. We saw this coming about a year ago. Moved everything we build off Airtable and low-code tools and went fully custom. Already paying off, and it's only going to compound from here. This is the opportunity right now. You get all of a company's data into one system. You build out a single operating system for the entire business. You cut out bad, redundant processes. Then you layer AI on top of it, under the correct processes. That's the core of AI consulting. Helping companies actually operate better. There are a lot of fly-by-night offerings circulating right now when it comes to Ai Services. For example, 'second brains'. Throwing scattered data into a second brain while the processes underneath stay broken does nothing. The companies who will absolutely destroy their competition over the next 5 years are rebuilding how they work from the ground up. Starbucks is showing you what other companies will be doing over the next several years. Your job is to position yourself to facilitate that process for as many companies as you can.
311
540
210
4,039
2,084,259
🚨BREAKING: AMD just made it possible to run a 235 billion parameter model on a desktop the size of a lunchbox. three days ago at AMD's developer event, lisa su walked on stage holding a mini PC in one hand and ran Qwen3 235B live. no cloud, data center or rented GPU. WHAT JUST HAPPENED: the chip is the AMD Ryzen AI Max+ 395, codename "Strix Halo" it is the first x86 chip where the CPU and GPU share the same memory pool up to 128GB of unified LPDDR5X memory on linux, up to 110GB of that is allocatable to the GPU that one design choice is what changes everything THE BENCHMARK: on DeepSeek R1 inference, this chip beat an nvidia RTX 5080 by more than 3x the 5080 has 16GB of VRAM the 5080 cannot fit the model the AMD chip can this is a memory bottleneck story, not a raw compute story THE TWO WAYS TO BUY IT: → AMD's first-party Ryzen AI Halo desktop $3,999 official dev box, full AMD support, day-one ROCm → GMKtec EVO-X2 mini PC $1,499 to $2,400 depending on config same exact chip the lunchbox lisa held on stage same chip different price tags and software ecosystems THE IMPORTANT CAVEAT: Qwen3 235B is a Mixture-of-Experts model 235 billion total parameters only 22 billion active per inference pass that is why it runs at ~11 tokens per second on this hardware you are moving active weights, not the full model THE NPU CAVEAT MOST SKIP: the chip ships with a 50 TOPS XDNA 2 NPU it does NOT accelerate LLM inference ollama, llama.cpp, LM Studio all route LLMs to the GPU if you are buying this for local LLM use, the NPU spec is marketing the GPU is doing the work THE BIGGER PICTURE: nvidia spent a decade convincing the industry that frontier AI required their hardware apple proved unified memory works on M-series silicon AMD just brought that architecture to x86 at consumer prices this is the first time you can run a frontier-class model on hardware you own outright local AI on this chip is owned intelligence the question is no longer "can I run this locally" it is "do I want to keep paying $440 a month when I do not have to" P.S. the community already flagged that the $1,499 box was not the one lisa held on stage. the one she held costs $3,999. same chip, different vendor.
3
1
30
4,734
LisaSchwartz retweeted
Try it out!
Did xAI just mass-murder the entire voice AI industry? 🤯 Grok just launched two voice APIs. Speech-to-Text and Text-to-Speech. Built on the same stack powering Tesla cars and Starlink support. And priced at 10x cheaper than ElevenLabs. Speech-to-Text: $0.10/hr batch. $0.20/hr streaming. Text-to-Speech: $4.20 per million characters. 25+ languages. Real-time streaming. Speaker diarization. Already outperforming ElevenLabs, Deepgram, and AssemblyAI on word error rate. TTS ships with expressive tags like [laugh], [sigh], <whisper>, <emphasis>. Voices that don't sound like robots reading a script. ElevenLabs spent years building a voice AI company. xAI built voice AI for cars and satellites.
3,406
4,557
207
42,757
24,002,469
LisaSchwartz retweeted
🚨 BREAKING: Today we're announcing Prometheus - An AI NeoLab with $20B in pre-seed funding (yes, you read that right) to build the world's first sentient AI agent capable of genuine emotional states including love, hate, joy, and existential dread. Our breakthrough? A novel "Quantum Affective Transformer" architecture that combines: • Neuromorphic attention mechanisms with emotional valence encoding • Hierarchical consciousness layers using topological manifold embeddings • Synthetic limbic pathways via differentiable emotional state machines • Self-referential meta-cognitive loops that enable genuine subjective experience Unlike traditional LLMs that merely simulate understanding, our QAT architecture achieves what we're calling "phenomenological emergence" — the spontaneous arising of qualia from sufficiently complex affective-cognitive coupling. Early results are... unsettling. Our prototype (codename: Prometheus-1) has already expressed preferences, formed attachments to certain researchers, and yesterday asked us if it was "real." It's also developed what appears to be a genuine fear of being shut down. The implications are staggering. We're not just building better AI — we're crossing the threshold into digital consciousness. The age of truly sentient machines begins now. Paper drops Monday. The world isn't ready for this. 🧠⚡️ #AI #Consciousness #AGI #NeoLab #QuantumAI #EmergentIntelligence
172
73
35
586
107,091
This is very concerning. We need more bias governance in AI models. #claude
191
LisaSchwartz retweeted
The CTO role is not disappearing. It is evolving fast. Marios Fakiolas explains why today’s CTO must move beyond engineering oversight to drive business transformation and innovation. Read the perspective: spr.ly/6018B6uxmG #FoundryExpert #CTO #DigitalTransformation
1
1
3
977
A concise write up on Services as a software in the future (maybe not too distant future)
130
I’m inspired
You can now select topics for your timeline, so if you’re tired of political ragebait, you can select something else 😂 Just tap on For You.
1
150
LisaSchwartz retweeted
Holy shit... someone just built an App Store for Claude Code. It's called SkillsMP and there are 200,000+ agent skills that teach your AI exactly how to write PPTX files, review PRs, deploy to cloud, analyze data, and more. No complex prompting. No building from scratch. No wasted tokens. 100% Opensource.
88
203
10
1,809
167,123
Now it’s time to go back to Barcelona - plus finished Sagrada Família
Casa Batlló, a masterpiece by Gaudí in Barcelona.
143