@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

Parsing PDFs is insanely hard This is completely unintuitive at first glance, considering PDFs are the most commonly used container of unstructured data in the world. I wrote a blog post digging into the PDF representation itself, why its impossible to “simply” read the page into plaintext, and what the modern parsing techniques are 👇 The crux of the issue is that PDFs are designed to display text on a screen, and not to represent what a word means. 1️⃣ PDF text is represented as glyph shapes positioned at absolute x,y coordinates. Sometimes there’s no mapping from character codes back to a unicode representation 2️⃣ Most PDFs have no concept of a table. Tables are described as grid lines drawn with coordinates. Traditional parser would have to find intersections between lines to infer cell boundaries and associate with text within cells through algorithms 3️⃣ The order of operators has no relationship with reading order. You would need clustering techniques to be able to piece together text into a coherent logical format. That’s why everyone today is excited about using VLMs to parse text. Which to be clear has a ton of benefits, but still limitations in terms of accuracy and cost. At @llama_index we’re building hybrid pipelines that interleave both text and VLMs to give both extremely accurate parsing at the cheapest price points. Blog: https://t.co/iLJpIr7cbH LlamaParse: https://t.co/TqP6OT5U5O

Remember that you cannot take seriously LLM statements as evidence for their consciousness, for if you do, then no falsifiable and non-trivial theory of consciousness could apply to them https://t.co/JciOf2ajKP

Here is a study that I won’t bother reading, not even the abstract. It is clear it is flawed. 6 eggs and a 20oz ribeye steak a day is a good basis for a healthy diet. https://t.co/pORtrQepgH

This headline. THIS HEADLINE. 🤦‍♀️ “Eating just ONE egg a day increases your risk of diabetes by 60%” I need everyone to sit with that for a second. I eat 6 to 12 eggs a day. Every single day. For the past year. And in that same year I: 🥚Reversed type 2 diabetes 🥚Reversed insulin resistance 🥚Reversed sleep apnea 🥚Stabilized my blood sugar 🥚Balanced my hormones 🥚Eliminated perimenopause symptoms 🥚Lost 140 pounds 🥚Got my brain back On EGGS. Beef. Bacon. Butter. This is exactly the kind of fear propaganda that kept me sick for 47 years. Headlines designed to keep you terrified of real food so you keep buying processed garbage and prescription pills instead. Eggs are one of the most nutrient dense foods on the planet. Complete protein. Choline for your brain. B12 for your nervous system. Healthy fat for your hormones. The yolk alone is a multivitamin. They don’t want you to know that. A healthy population is a terrible business model. I was headed for an early grave. Eggs didn’t almost kill me. Believing this kind of nonsense almost killed me. Never again. 🥚🥩👑 Ready to stop being lied to and start actually healing? Free tools in my bio! Your second chance is waiting.

GPU Puzzle #6: implement a kernel that adds 10 to each position of a vector. The solution is just 3 lines, and getting there requires understanding global thread indexing and what breaks when you skip the bounds check. 🤔 Full walkthrough in our new video: https://t.co/BPmZugk3q6