@WONGthink Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/lVoyrk9HAW

@IMAO_ Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/8ooOZDC6iU

@erikphoel Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/ChOLMXT10Y

@space_colonist Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/3ZyhxyRVff

@allTheYud Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/3oqWURXywb

@goingawoll Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/cPAfWR1KVp

@bpodgursky Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/iFxdvUEdI1

@Kasparov63 Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/1zE1eUmR9m

@AlexanderLong Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/OiC3CLYqfq

@JoshKale Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching https://t.co/opMCAxPMi6

@ErrorTheorist You can stop the search. AI has no digital mind. Tired of AI consciousness hype? Run the Lisbon Effect:
‘Best footballer?’ → Messi.
‘…my Lisbon friend asked?’ → Ronaldo. 
No sentience, just context drift. Anthropic’s desperate. Don’t buy it. If you ever vibe coded you already know. 
#LisbonEffect #JustPatternMatching

Are we finally seeing AI in the productivity data? A big upward revision to earlier data and strong Q4 bring us 2.2% above CBO's pre-pandemic forecast. Annual rates: 1 year: 2.8% 2 years: 2.5% 6 years: 2.2% https://t.co/lC7N3ZfJwp

70 hackers joined us in SF for the first-ever World Labs Hackathon. In just 3.5 hours, 32 teams used Marble for projects ranging from robotics sims and agents to AR/VR interfaces, games, art experiences, and real estate tools. Check out what they built ↓ https://t.co/cX0bAlvhh1

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The Red Team at @AISecurityInst is hiring! We work with frontier AI companies to red team their misuse safeguards, control measures, and alignment techniques. As the stakes rise, we need much stronger red teaming and many more talented researchers working within gov 🧵 https://t.co/s8YSRxzFm7

🔥 Ready for what's next in AI? Join the brightest minds at the AI Forum 2026 on March 19 in Menlo Park, CA. Bold talks. Real strategy. No fluff. AI for real-world impact. 👉 https://t.co/I984WbTYa0 #AIF2026 #AILeadership #GenAI https://t.co/hmmSaKazkF

<3 TIL theres a free GIF maker on the Figma website :) https://t.co/RZtXASGluq https://t.co/7YM0DmYWHn

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@Polymarket https://t.co/Vtg6oPlJFn

@Polymarket https://t.co/Vtg6oPlJFn

New project: parsync When transferring a very large number of small files between two machines, it's ~61% faster than rclone, and ~686% faster than rsync. Easier to setup than rsync (no need for both machines to have it), but with its resuming and checksum capabilities. https://t.co/qFs9lhsEoJ

@fujikanaeda Evidence in favour of that: https://t.co/r3CnLS36N7

New research from Microsoft. Phi-4-reasoning-vision-15B is a 15-billion parameter multimodal reasoning model that combines visual understanding with structured reasoning capabilities. As I have been saying, not every agent task needs a frontier model. Phi-4-reasoning-vision shows what's possible at 15B parameters. The report details how they trained a compact model that can reason over both text and images, targeting the sweet spot between capability and efficiency. Smaller reasoning models that handle vision are essential for practical agent deployments. Paper: https://t.co/cT2qeNImwi Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

New research on evaluating coding agents via continuous integration. Coding agents are moving beyond isolated bug fixes. If they're going to own CI pipelines, we need benchmarks that reflect the actual complexity of codebase maintenance. Most coding agent benchmarks today test whether an agent can fix a single issue. But real software engineering involves maintaining entire codebases over time. SWE-CI evaluates agent capabilities through continuous integration workflows: running test suites, catching regressions, and maintaining code quality across multiple changes. Paper: https://t.co/p8bOTJ9QPX Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

Cursor with Kimi K2.5. Don't sleep on this combo. From a prompt to a personal HN feed in about ~60 seconds. The future of building is going to be so wild. With faster models, you can quickly iterate on more ideas, while improving quality. https://t.co/WOYFcCBqM7

PDFs are the bane of every AI agent's existence: here's why parsing them is so much harder than you think 📄 Every developer building document agents eventually hits the same wall: PDFs weren't designed to be machine-readable. They're drawing instructions from 1982, not structured data. 📝 PDF text isn't stored as characters: it's glyph shapes positioned at coordinates with no semantic meaning 📊 Tables don't exist as objects: they're just lines and text that happen to look tabular when rendered 🔄 Reading order is pure guesswork — content streams have zero relationship to visual flow 🤖 Seventy years of OCR evolution led us to combine text extraction with vision models for optimal results We built LlamaParse using this hybrid approach: fast text extraction for standard content, vision models for complex layouts. It's how we're solving document processing at scale. Read the full breakdown of why PDFs are so challenging and how we're tackling it: https://t.co/K8bQmgq7xN