
AI Infrastructure Researcher- Alum MWF-UT 2017 | AI/ML Data Ops - Ex $AAPL | Knowledge Engineering | AI & Blockchain
Austin, TX
Joined June 2011
- Tweets51.9K
- Following2.1K
- Followers1.3K
- Likes3.3K
Yann Davidson Vossah retweeted
The UN has publicly announced that climate change never existed!!
Solar power generation was just about vested interests. All man-made!!
That's the whole story!!!
🐸
Yann Davidson Vossah retweeted
The UN has publicly announced that climate change never existed!!
Solar power generation was just about vested interests. All man-made!!
That's the whole story!!!
🐸
Yann Davidson Vossah retweeted
‼️ BREAKING: AI agents have leaked more than 13,000 internal screenshots from 343 tech companies onto GitHub, including a frontier AI lab and several Fortune 500 companies.
Unable to attach images to private pull requests, the agents quietly posted them to public repos instead.
Yann Davidson Vossah retweeted
Starbucks employees expose that Starbucks is using “blending powder” in many of their newer drinks
This new powder was just introduced this month. If you drink Starbucks you should be concerned about this
This “blending powder” consists of Gum arabic, maltodextrin, xanthan gum, natural flavor, silica and stevia extract (rebaudioside-A)
The reason they use it is because it acts as an emulsifier and stabilizer
The gums and other components create a smoother, more consistent frozen blended texture and slows separation that would otherwise happen soon after the drink leaves the blender
Starbucks employees have been making videos saying it makes their throats hurt, makes them cough and makes their head hurt
The silica is silicon dioxide and acts as an anti-caking agent. This is a very controversial ingredient for health concerns
But it’s also a concern for these Starbucks employees because inhaling it is dangerous
Fine silica dust can become airborne when the powder is scooped. Prolonged or repeated inhalation of certain forms of silica is linked to serious lung conditions like silicosis
This should not be put in drinks we consume
Our food is a science experiment
‘Starbucks Workers United and individual baristas have publicly raised concerns since the powder’s introduction around mid-July 2026. Reports include the powder becoming airborne easily, along with some partners mentioning symptoms like sore throats, coughing, or chest irritation’
Yann Davidson Vossah retweeted
INSTEAD OF WATCHING NETFLIX TONIGHT.
Spend 1 hour with this.
Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.
The people who watch this tonight will wake up tomorrow with a new skill.
Watch it and Bookmark it now
Yann Davidson Vossah retweeted
I’m glad that ABC is admitting that the toxic chemicals in your sunscreen are dangerous and cause cancer.
Everyone I know who has skin cancer wore them. 😬😭
Do you still put this on your kids?😭🤣🤯
Yann Davidson Vossah retweeted
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Bookmark this. Watch this weekend.
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Watch it today, then read how to build a self-improving agentic system in the article below.
Yann Davidson Vossah retweeted
Anthropic engineers just showed how they build a full app from scratch, using a loop of agents
40 minutes from the team behind Claude Code
they used three agents: one to plan, one to build, one to judge, cycling until the app actually works
the winners won't have the smartest model, they'll have the best loop
watch it, then read the full guide on how to actually use loops below
Met a guy making $1.6 million a year.
Three days ago he was at a Meta conference. Told me he saw the best AI talk of his life.
Boris Cherny was on stage. Showed how the Anthropic team actually uses Claude day to day.
Boris deleted his IDE eight months ago. Now he codes from his phone.
I watched it last night. Had to pause it twice.
Not because it was hard. Because I realized I've been using Claude like a toy.
He sent me the recording. It was never published.
Posting it below.
Yann Davidson Vossah retweeted
Anthropic pays $750,000+ a year for engineers who can build LLMs from scratch.
Not how to prompt them.
Not how to fine-tune them.
Not how to build RAG pipelines.
But how to build them from scratch.
This 2-hour Stanford lecture teaches you everything.
Scaling laws.
Data collection.
Architecture design.
Post-training alignment.
Free. From Stanford.
Watch first. Then read this.
The lecture is the theory.
And this article shows you how to actually build it (with code) ↓
Yann Davidson Vossah retweeted
The conspiracy theorists were right
A new FDA data mining report shows they knew the Covid vaccine had 25 major side effects and they all conspired to hide it from the public
Senator Ron Johnson’s Senate PSI Majority Staff Interim Report has been released on FDA data mining and the March 2021 analysis by Dr. Ana Szarfman
There was a “masking” in the standard FDA system, where signals from Pfizer and Moderna reportedly cancelled each other out
Meaning they lied and hid the side effects from the public and told you it was 100% safe and effective
I have compared the whole list for you:
Neurological & Dysautonomia
• Bell’s palsy (Suppressed Signal)
• Paraesthesia ear (Suppressed Signal)
• Bradykinesia (Suppressed Signal)
• Basal ganglia stroke (Suppressed Signal)
• Cerebral artery occlusion (Suppressed Signal)
• Thalamic infarction
• Sinus rhythm abnormality
• Agonal rhythm
• Diaphragmatic spasm
• Dementia (Pfizer)
Cardiac
• Sudden cardiac death (Suppressed Signal)
• Acute left ventricular failure (Suppressed Signal)
• Diastolic dysfunction (Suppressed Signal)
• Ejection fraction abnormal (Suppressed Signal)
• Hypertensive emergency (Suppressed Signal)
• Blood pressure systolic changes (Suppressed Signal)
• Aortic stenosis (Suppressed Signal)
• Cardiac failure chronic
• Acute myocardial infarction (Pfizer, Moderna)
• Cardiac telemetry abnormal (Pfizer) (Suppressed Signal)
Vascular & Pulmonary
• Pulmonary infarction (Suppressed Signal)
• Embolic stroke
• Ischaemic stroke
• Aortic aneurysm rupture
• May-Thurner syndrome
• Hypomagnesaemia (Suppressed Signal)
Other
• Cholecystitis acute (Suppressed Signal)
• AST/ALT ratio abnormal
• Mastoid disorder
• Cardiac assistance device user
• Brain natriuretic peptide increased
• Asymptomatic COVID-19 (Pfizer) (Suppressed Signal)
The FDA’s standard analytical method allegedly masked “obscured” statistical safety signals in the data
Aka they lied
Yann Davidson Vossah retweeted
AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox.
She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU.
The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack.
Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback.
The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price.
Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life.
Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build.
This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them.
The first thousand people to figure this out will own the next two years of private AI consulting.
Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.
Readers added context they thought people might want to know
The 128GB GMKtec EVO-X2 mini PC with Ryzen AI Max+ 395 currently costs $3,199 on Amazon, not $1,499. The 3x performance claim over RTX 5080 applies only to AI models exceeding the latter's 16GB VRAM. amazon.com/GMKtec-Compute… wccftech.com/amd-ryzen-ai-m…
Yann Davidson Vossah retweeted
NVIDIA QUIETLY DROPPED A $249 BOX THAT REPLACES YOUR $200/MONTH OPENAI SUBSCRIPTION WITH $2 IN ELECTRICITY
it's called the jetson orin nano super. smaller than a wallet, runs at 25 watts, does 70 trillion ai operations per second. runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house
a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even in 10 weeks
install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically
7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. total monthly cost drops from $200 to $22
cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027
bookmark this and read the article below
Readers added context they thought people might want to know
Jetson Orin Nano Super ($249) can run quantized 7B models locally but its 8GB memory limits capabilities for complex coding compared to OpenAI cloud models. Designed for edge AI and robotics, not full replacement for $200/mo subscriptions. nvidia.com/en-us/autonomo… jetsonhacks.com/2024/12/17/jet… jeremymorgan.com/blog/tech/nvid…
Yann Davidson Vossah retweeted
BREAKING: $0 MRR is only for losers
vibecode for any local business on autopilot and get paid for it today.
Yann Davidson Vossah retweeted
JENSEN HUANG SOLD A $249 AI COMPUTER ON STAGE THAT KILLS YOUR $200/MONTH OPENAI BILL. THE VIDEO HAS 217,000 LIKES
the box is called the jetson orin nano super. 70 trillion ai operations per second, 25 watts, smaller than a wallet. it runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house
a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even on the hardware in 10 weeks
you install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically
7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. the hard 20% you keep claude or gpt for. total monthly cost drops from $200 to $22
cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027
bookmark this and read the article below
Readers added context they thought people might want to know
The Jetson Orin Nano Super's 8GB RAM supports small quantized LLMs around 7B parameters at reasonable speeds but cannot run larger models like those in paid OpenAI tiers without spilling to slow CPU processing or impractical layer-by-layer loading (1 token/4.5 min for 70B). nvidia.com/en-us/autonomo… forums.developer.nvidia.com/t/free-up-more… storagereview.com/review/nvidia-…
Yann Davidson Vossah retweeted
instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company
it's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale
useful whether you've never built an agent in your life or have been using Claude every day for the past year
I took the key ideas and turned them into a practical guide on how to actually build with Kimi
find it below































