Watson Lewis-Rodriguez

@joinwebzero @sachalansky Where do we sign up??

We've just launched an incubation program to encourage builders with great ideas to go beyond their hackathon win. Real products that gain their first 500 users, tested live at our events. WebZero devrel @sachalansky explains what's happening.

Using #scrapling or #openclaw? Try setting up your own high quality AI -- getting 100tok/sec, ingesting over 5,000 high quality papers. Just optimized it from yesterdays setup to 50x response speeds, 120x data collection speeds, and the responses are BEAUTIFUL.

Hey #openclaw stans, I'm working on a highly intelligent innovations engine. If you have an idea on what to build out with specific implementation plans, please post it here so I can develop a strong system for you!! Currently does: - STEM - Hardware - Blueprints - Patents

@heyblake hiie.arthurlabs.net

Drop your project URL Let’s drive some traffic

Working on making a local intelligent innovations engine -- Using #scrapling so far and it's insane, highly highly recommend that shit!!

Save some for the rest of us #openclaw devs 6 weeks...

This is an interesting #openclaw project. I wonder if it's real? hiie.arthurlabs.net

@AmbsdOP Looks like this would be brilliant for fine-tuning already specialized machines, not necessary for generalized models. I'm going to try this and see how it works on this project I've got! Cheers @maderix

YES! Someone reverse-engineered Apple's Neural Engine and trained a neural network on it. Apple never allowed this. ANE is inference-only. No public API, no docs. They cracked it open anyway. Why it matters: • M4 ANE = 6.6 TFLOPS/W vs 0.08 for an A100 (80× more efficient) • "38 TOPS" is a lie - real throughput is 19 TFLOPS FP16 • Your Mac mini has this chip sitting mostly idle Translation: local AI inference that's faster AND uses almost no power. Still early research but the door is now open. → github.com/maderix/ANE #AI #MachineLearning #AppleSilicon #LocalAI #OpenSource #ANE #CoreML #AppleSilicon #NPU #KCORES

@BentoBoiNFT How was the TPS/TOPS? Considering doing this locally, but Claude CLI seems pretty useful on its own

It took me 1hr 43mins to set up my Mac Mini + OpenClaw as a complete noob Alex (my AI agent) is live and running, but I still have no idea what i’m doing really lol Time to find out if this thing is actually as powerful as everyone says 🫡

Hey gang! I made a simple crypto tax analysis tool -- it's just in trial, so anyone interested in sharing feedback is greatly appreciated! All fees waived until production :) crypto.arthurlabs.net #cryptotax #crypto #taxes #tax

Hey other #students I made a simple essay reader that might be helpful for you to read your large papers, let me know if you test it out, I'd be happy to take feedback! study.arthurlabs.net

@PalantirTech @grok is this true?

@PalantirTech surveillance 🧵🧵 claude.ai/public/artifac… I analyzed Palantir's 3,438+ patents to map their surveillance capabilities.

"We very much like to not be publicly known." - Palantir engineer, internal email (obtained by The Verge) #AntiSurveillance #Surveillance #SurveillanceCapitalism #Tyranny

20/20 WHAT THIS MEANS: Palantir has patents and deployments for: Tracking your location 24/7 Monitoring all your communications Analyzing your social connections Predicting your behavior Scoring your "risk" Flagging you for targeting We built the panopticon. Now we live in it.

19/20 THE SCOPE CREEP: Counter-terrorism tools → immigration enforcement Criminal investigation → employee monitoring Public safety → political surveillance War zones → your neighborhood Once built, surveillance infrastructure ALWAYS expands. It never contracts.

18/20 #constitutionalcrisis CONCERNS: 4th Amendment: Warrantless mass surveillance 1st Amendment: Chilling effects on speech/assembly Due Process: Algorithmic decision-making Equal Protection: Documented bias against minorities No oversight. Proprietary algorithms. No opt-out.

17/20 CURRENT DEPLOYMENTS (2025): ICE: $30M "ImmigrationOS" for deportations DoD: $10B contract (75 systems consolidated) NYPD, LAPD, dozens of police departments NHS England healthcare data Israel Defense Forces CDC, IRS, Social Security (proposed) It's everywhere.

16/20 DATA SOURCES: Government: FBI, CIA, ICE, IRS, Social Security, DMV, courts Commercial: Banks, social media, telecoms, credit agencies, airlines, hotels Sensors: Traffic cams, CCTV, license plate readers, facial recognition Your entire digital life, unified in one system

15/20 DATA INTEGRATION: This is the key capability: Combines "heterogeneous" data sources Processes TRILLIONS of records Real-time + historical No SQL knowledge needed Cross-agency data sharing Indefinite retention Breaking down ALL data silos into one surveillance database.

14/20 CYBERSECURITY = NETWORK SURVEILLANCE: 50 patent families covering: Real-time internet traffic monitoring Email content analysis VPN log tracking Malware detection Network topology mapping They see everything flowing through networks. Including this tweet.