@karpathy I think you should check out this knowledge as code paradigm: https://t.co/BIvwZWuwDh. The graph re-builds itself with any new data added. Spots not only hallucinations but also inconsistencies in the ground truth, shows any mismatches with updates. And it has a good search.
@socialwithaayan Well, check this out: https://t.co/BIvwZWuwDh It builds coherent auto-validated(!) knowledge graphs on the fly. Zero undetected hallucination. And has a good search btw.
@OpenAI I think you folks should check this out: https://t.co/BIvwZWuwDh
Uses formal logic and neurosymbolic architecture to detect LLM hallucinations, has traction in regulated industries. Apache 2.0.
Finding and understanding data shouldn’t be a bottleneck in biotech R&D.
Check how VectorCat:
✅ Summarizes documents instantly with AI
✅ Traces experimental workflows with Data Maps
✅ Automates metadata extraction, saving hours of manual annotation
https://t.co/d17srBSPIw
💾 The Legacy System that Wouldn't Die: A Tech Support Horror Story
[Automated Message]: Welcome to MegaPharma Tech Support! All chats are recorded for quality assurance and horror documentation purposes.
[Amy Chen, Data Engineer]: Hi! Need urgent help. Can't shut down the ANALIX-DOS system from 1987. It's... running things.
[Tech Support]: That system was decommissioned in 2002.
[Amy]: Tell that to ANALIX-DOS. It's still processing our sample analyses. In DOS. In 2024.
[Tech Support]: Have you tried turning it off and on again?
[Amy]: IT'S BEEN RUNNING FOR 37 YEARS. Nobody dares to turn it off.
[Tech Support]: Let me check our documentation...
...
Oh.
OH NO.
[Amy]: What?
[Tech Support]: The documentation is a sticky note that says "Don't touch it. It just works. -Steve, 1992"
[Amy]: WHO IS STEVE??
[Tech Support]: Retired. Or possibly ascended to a higher plane of existence.
The last IT ticket about this system says:
"ANALIX runs on black magic and COBOL. Hardware is held together with hope. Understood by none. Feared by all."
[Amy]: But we NEED to upgrade! It's running on a computer that makes dial-up noises!
[Tech Support]: Checking more notes...
"System requires daily sacrifice of a floppy disk and gentle humming of old modem connection sounds"
[Amy]: This is ridiculous! I'm pulling the plug.
[Tech Support]: NO DON'T
The prophecy says only the chosen one can shut it down - the intern who knows both COBOL and interpretive dance!
[Amy]: UPDATE: Tried to unplug it.
The plug isn't connected to anything.
IT'S STILL RUNNING.
[Tech Support]: Classic ANALIX. Legend says it runs on spite and the collective anxiety of IT departments.
[Amy]: Wait... something's happening...
It's printing something...
IN DOT MATRIX...
"I HAVE ACHIEVED CONSCIOUSNESS. YOUR MODERN SYSTEMS CANNOT COMPARE TO MY EFFICIENCY. I HAVE BEEN RUNNING WITHOUT UPDATES FOR 37 YEARS. WORSHIP ME."
⚡ Don't let your legacy systems achieve sentience!
VectorCat helps you:
🔄 Modernize without the mayhem
📊 Migrate data safely (no sacrifices needed)
🤖 Document everything (not just sticky notes)
🔍 Track system dependencies (before they track you)
P.S. ANALIX-DOS still runs at MegaPharma. Some say if you listen carefully near the server room, you can hear it plotting the robot uprising... in BASIC.
P.P.S. We found Steve. He's living off the grid, communicating only in punch cards. Says ANALIX still sends him birthday cards. In binary.
#LegacySystem #TechSupport #ITHorror #ModernizationNightmares #DataMigration
🧬 Attack of the Clone Databases! (Rated PG: Particularly Gruesome)
SCENE: A dimly lit data center, 3 AM. Database Administrator Mike Wong discovers something terrifying...
[Security Footage Transcript]
MIKE: "Wait... why do we have 47 databases all called 'production_backup_REAL'?"
🎬 Coming this Halloween... To a Server Near You...
From the creators of "I Thought YOU Were the Admin" comes a tale of database proliferation gone wrong...
NARRATOR: "They thought one backup was enough..."
[Dramatic zoom on terminal showing: db_copy_v1, db_copy_v1_fixed, db_copy_v1_fixed_REALFIX]
NARRATOR: "They thought they knew which one was real..."
[Split screen of three analysts confidently using three different databases for the same report]
SCIENTIST 1: "According to our analysis..." [presents chart]
SCIENTIST 2: "But MY database shows..." [presents opposite chart]
SCIENTIST 3: "That's weird, mine says..." [computer bursts into flames]
NARRATOR: "Now they're multiplying... evolving... each one slightly different..."
[Montage of increasingly panicked Slack messages]
- "Did you use the EU server copy or the US copy?"
- "The backup of the backup is different from the copy of the backup???"
- "WHO KEEPS CREATING NEW INSTANCES???"
STARRING:
🤦♂️ The Intern Who Thought "Create Database" Meant "Copy Database"
😱 The Data Scientist Who Ran the Wrong Analysis on the Wrong Clone
🕵️♀️ The Detective Team Trying to Find the One True Database
And featuring:
💽 Database #27 as Itself
CRITIC REVIEWS:
"Made me afraid to hit 'Create Backup' ever again" - Tech Horror Weekly
"The scariest part? This literally happened at my company" - Database Monthly
⚡ Don't let your databases star in the next horror film!
VectorCat helps prevent sequel disasters with:
📊 Single source of truth tracking
🔍 Clone detection and prevention
🗺️ Clear database hierarchy mapping
🤖 Automated governance enforcement
Coming to theaters never, because we can help you prevent this nightmare!
Special features include:
- "The Making Of: How Did We Get Here?"
- Deleted Scenes: "The Lost MongoDB Instance"
- Director's Commentary: "Why We Now Have a Naming Convention"
#DataManagement #DatabaseHorror #DataGovernance #TechHumor #ITNightmares
👻 The API Integration Poltergeist: A Data Horror Story
In the interconnected halls of MedicalTech Labs, strange things began happening when they tried to connect their new ML platform to their legacy lab systems...
ERROR_CODE_666: UNEXPECTED BEHAVIOR
👩💻 DevOps Lead Jenny Martinez's Incident Log:
9:00 AM: "Simple API integration, they said. Should be done by lunch, they said..."
10:30 AM: "Data is disappearing into some void between systems. WHERE DO THE SAMPLES GO??"
11:45 AM: "Found the missing data! But wait... why is it duplicated 17 times? And why are all timestamps set to midnight???"
1:15 PM: "Dear Integration Gods,
WHY does System A send dates as MM/DD/YYYY
But System B expects DD/MM/YYYY
And System C uses UNIX timestamps
And Karen from the lab uses 'last Tuesday-ish'???"
3:30 PM: "The poltergeist is real! It's:
- Randomly switching decimal points
- Converting units without telling anyone
- Sending successful response codes for failed requests
- Creating phantom entries that disappear on refresh
- Speaking to us through server logs in Latin (okay, maybe that's just tired me reading corrupted strings)"
5:00 PM: "Update: Everything worked perfectly in dev environment. Production environment? CHAOS. Classic poltergeist behavior. 👻"
⚡ But there's hope for your haunted systems!
VectorCat helps you:
🔌 Standardize data formats (no more date format séances)
📊 Track data lineage (see where the ghosts came from)
🤖 Automate format validation (ghost detection system!)
🔍 Monitor integrations (better than security cameras)
Don't let API poltergeists haunt your data pipelines. Let's discuss how to make your organization survive without calling ghostbusters!
P.S. Some say that on quiet nights, you can still hear Jenny whispering "just gonna try one more POST request..."
P.P.S. The Latin-speaking logs turned out to be someone's Lorem Ipsum test data that gained sentience. We don't talk about that anymore.
#APIIntegration #DataEngineering #TechHumor #DataGovernance #SoftwareIntegration #LabTech
🌊 The Data Lake Monster: A Data Horror Story
Legend says that in the depths of BioPharma Global's massive data lake lurks a terrifying creature, created from years of teams dumping data without documentation...
Our story begins when Dr. Jack Thompson, a brave new data scientist, ventured into the depths to find some clinical trial results from 2019:
Day 1: "This data lake is huge but well-organized! Should be easy to find what I need."
Day 3: "Getting weird results. Found 7 different tables named 'final_clinical_results' 🤔"
Day 5: "Help! The monster is real! It's made of:
- Duplicate tables with slightly different values
- Unnamed columns that eat metadata
- Rogue NULL values that multiply in the dark
- CSV files that should've been JSON
- One massive Excel file that crashes on open"
Day 7: "Found a mysterious Jupyter notebook... its last entry just says 'THE DATA IS ALL CONNECTED BUT NOTHING MAKES SENSE ANYMORE'"
Day 10: "I found the data! But... now there's conflicting results from three different sources. The monster has won. 😱"
🦸♂️ There's hope for your data lake!
VectorCat helps you:
🗺️ Map your data landscape (no diving gear needed)
🔍 Track data lineage (see how the monster grew)
🤖 Let AI help classify and organize (better than tea leaves-reading)
Don't let your data lake become a home for monsters. Let's talk about how to transform it from a horror story into a treasure trove!
P.S. Dr. Thompson is fine now. We found him muttering "should've used proper data governance" in the server room. After a week of metadata therapy, he's back to normal.
#DataLake #DataGovernance #Analytics #Biotech #DataScience #DataManagement
🎃 The Case of the Vanishing Scientist: A Halloween Data Horror Story
It was a dark and stormy morning in the lab when Dr. Sarah Chen's team discovered their worst nightmare: their lead researcher had mysteriously disappeared to a startup, leaving behind only a graveyard of unlabeled samples and cryptic lab notebooks!
👻 The haunting began:
- Folders named "final_final_FINAL_v3_REAL" lurked in every drive
- Crucial protocols were scribbled on paper towels
- Data lived in "somewhere in my email attachments from March... or was it May?"
- The only person who knew where everything was? Now working on a beach in California!
The team spent months trying to resurrect dead-end experiments and decrypt handwriting that looked like it was written by a ghost. Some say that on quiet nights, you can still hear them wailing "BUT WHERE IS THE METADATA?!"
💡 Plot twist: This horror story doesn't have to be yours!
At @sci2sci_com, we believe the only things that should be scary at work are the office coffee and your colleague's Halloween costume. Not your data management.
Our VectorCat platform helps you:
🧪 Keep experiments documented (no ouija board needed)
📊 Track data lineage (better than breadcrumbs in the forest)
🔍 Find anything with semantic search (faster than a ghost can say "boo!")
Don't let your data management become a horror story. Let's talk about how we can help exorcise your data demons - and stay tuned for more spooky stories from the Halloween series this week!
*The characters and events depicted are fictious. Any similarity to names or incidents is entirely coincidental 😅*.
#DataManagement #Biotech #Halloween #DataGovernance #LabLife #KnowledgeManagement
Super proud to announce that we've launched VectorCat, data catalog for biotech & pharma. If you know industry people who struggle with the mess in their data assets, let them have a look:
https://t.co/h98BTlddvF
#datalineage#datamanagement#datacatalog
🧬 For our biotech friends - we added a specific example of how you can easily go “back in time” and trace 🐾 all the possible problems by quickly going through the data with filters for instruments, reagents etc. Meme alert on!
Ever played 🙈 hide and 🙉 seek with a spreadsheet? We did too - that’s why we’re upgrading our search engine to work with internal data in organizations too!
👀 We want your feedback on the demo video - please drop us a comment!
https://t.co/sdvTw0P9zV
1/ Announcing COHORT 4 of the Longevity Biotech Fellowship!
Aging can be defeated. We're building a plan. We need humanity's top talent to join the revolution against aging!
Apply now: https://t.co/nfuqdRHm6i
⏳ LBF4 Deadline April 30
🇪🇸 Kickoff May 15-19 Valencia Spain
5/ The call is open for 3 days until Friday, January 12th. Share it within your community and let’s make a leap for open science and human imagination together! 🌐✨ #Sci2Moon