Really good video walkthrough of how you can build a research assistant from scratch.
Complete hands-on guide to building a custom research assistant from scratch using LangChain and LangSmith.
It covers:
- Core Architecture
Step-by-step implementation:
- Web Scraper
- Chain Orchestration
- Task Parallelization
- Advanced Customization
- Deployment
For more, check out the comment. Also, if you really need to understand very basic things, go to my quote blog; you will find a walkthrough as well as a GitHub repo for that project.
Join Uptime’s Madeleine Kudritzki and Chris Brown on June 24 for a webinar on building operational readiness for AI workloads through clear staffing models, training programs, IT–facilities alignment, and proven management frameworks.
Register today:https://t.co/VIbyhIAww5
A developer makes $14k/month from 4 Mac Minis.
Together they run 70B+ models locally more than a single Mac Mini could handle.
Most people rent cloud GPUs every month.
He paid once and built his own AI cluster.
Started with one Mac Mini.
Then another.
Then another.
Then another.
Clients pay for inference.
Data never leaves the room.
Scaling just means stacking one more box on the desk.
Most people rent compute.
He owns it.
Bookmark this before local AI becomes the default ���
RT For CIOs buried in tech debt: low-code can accelerate modernization with no cloud configuration, no Kubernetes, no deployment pipelines. The technical weeds are exactly what your business teams shouldn't have to touch.
#TechDebt#CIO@Star_CIO
https://t.co/XLJlfFuIJu
Artificial intelligence has reportedly solved a major 80-year-old mathematics problem, a breakthrough that is being seen as a landmark in reasoning. The achievement shows how AI is moving beyond pattern recognition and into deeper problem-solving, with implications for science, research, and the future of human-machine collaboration.
#AIBreakthrough #ArtificialIntelligence
#80YearChallenge #AIReasoning
#FutureOfAI #ResearchRevolution
#AITech #AIInScience #ProblemSolvingAI
Markets running on empty. Between my logistics work and venture deals, easy money papers over fragility until physics shows up. Durability is the only real hedge.
On the risks of “running on empty:”
As the global economy simultaneously depletes multiple buffers, the risk increases that the willingness to spend—across consumers, corporations, governments, and investors—could run well ahead of the structural ability to do so.
https://t.co/OqThqGraaS
#economy #markets @ProSyn
Cybersecurity is not one job. It’s dozens of disciplines working together.
Behind every connected system is a team asking hard questions early:
Where are the risks? What could fail? What needs to be reviewed again?
Chris talks through the depth of expertise required to protect modern public safety systems responsibly.
See how the Flock team approaches it.
This is a dumper truck.
But it's electric.
And it's built in India.
Propel Industries is trying to electrify one of the world's most polluted industries: mining.
It doesn’t get much more convincing than hearing it directly from Jensen. Just to keep optics community on its toes: don’t forget that copper remains a fierce competitor for scale-up (shorter reaches) because of its cost, reliability, maturity, and continued innovation — including active copper cables.
In the long run, this competition will only accelerate progress in optics, especially CPO enabled by silicon photonics, as the industry pushes beyond what copper can offer.
Researchers at Genesis AI have developed a robot that can perform complex tasks with near-human precision.
It can cook meals, solve a Rubik’s Cube, make smoothies, use laboratory tools, and even play the piano using the same AI system.
The robot focuses on human-like hand movements, quick reactions, and learning new skills with very little training data.
A sketch on paper just replaced a $5,000 web design quote
photo dropped into the chat
hero section, navigation, every component - built automatically
designers charge $3,000-8,000 for this
it now takes a pen and a piece of paper
people already charging clients full price
delivering in hours instead of weeks
A box on the side of his house pays him $2,500/month.
Most people would walk past it and never think twice.
Inside are NVIDIA GPUs running AI workloads 24/7 while a company covers the power, internet, and infrastructure costs.
The result?
Around $30,000 a year from something sitting in the yard.
While most people think AI infrastructure lives in massive data centers, a small group is turning homes into part of the network powering AI.
The people paying attention aren’t just using AI.
They’re positioning around the infrastructure behind it.
Bookmark this before AI infrastructure moves into every neighborhood. 👇🏻
@UptimeInstitute We call it infrastructure, but half the field seeing outages means this is a supply chain problem. Downstream delays are guaranteed. Thoughts?