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Jets. Helicopters. Wildfire. Traffic. Crowds. Falcon Perception. 0.6B parameters. "Find every person." It finds every person. "Find the fire." It finds the fire. +21.9 over SAM 3 on spatial understanding. Running locally via MLX. No cloud. What should I throw at it next?

Maziyar PANAHI

17,734 subscribers

18,191 次观看 • 4 个月前 •via X (Twitter)

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I showed you SAM 3 all week. This is a 0.6B model that outperforms it. Falcon Perception. Type "detect the plane" and it segments every plane in the frame. Pixel-accurate masks from natural language. Fighter jets. Fire. Crowds. All on a MacBook via MLX. No cloud.

I showed you SAM 3 all week. This is a 0.6B model that outperforms it. Falcon Perception. Type "detect the plane" and it segments every plane in the frame. Pixel-accurate masks from natural language. Fighter jets. Fire. Crowds. All on a MacBook via MLX. No cloud.

Maziyar PANAHI

63,029 次观看 • 4 个月前

🚨 BREAKING: Apple just acquired Meta's SAM team! On-device segmentation now ships natively in macOS 26.x This is what it looks like when you run SAM3 on MLX locally. Every car. Every fire. Real-time. M2 laptop. No cloud.

🚨 BREAKING: Apple just acquired Meta's SAM team! On-device segmentation now ships natively in macOS 26.x This is what it looks like when you run SAM3 on MLX locally. Every car. Every fire. Real-time. M2 laptop. No cloud.

Maziyar PANAHI

329,986 次观看 • 4 个月前

Gemma 4 watches raw video. Understands the scene. Then prompts SAM 3 to segment and RF-DETR to track. One AI directing two others. Fighter jets. Crowds. Aerial defense footage. All three models running locally on a MacBook. No cloud. What scene should I point this at next?

Gemma 4 watches raw video. Understands the scene. Then prompts SAM 3 to segment and RF-DETR to track. One AI directing two others. Fighter jets. Crowds. Aerial defense footage. All three models running locally on a MacBook. No cloud. What scene should I point this at next?

Maziyar PANAHI

370,165 次观看 • 4 个月前

this OpenClaw bot watches NASA wildfire satellites. when a fire starts, it finds every at-risk home nearby, renders fire hardening fireproofing upgrade on their actual house, and mails them a postcard, all on autopilot. here's how contractors in fire zones can close $30k–$60k fireproofing jobs with this: - pulls live fire detections from NASA FIRMS satellites every 5 minutes - finds every home in the fire perimeter from public records - captures the property via Google Street View - classifies roof type + fire vulnerabilities using AI vision - generates a NASA satellite image of the neighborhood with real fire hotspots overlaid - renders a fire hardening retrofit on their actual house - prints a postcard with the NASA fire map + before/after retrofit + QR code every step from fire detection to mailbox runs without a human reply "FIRE" + RT and i'll send you the full guide so you can build this too (must be following so i can DM)

this OpenClaw bot watches NASA wildfire satellites. when a fire starts, it finds every at-risk home nearby, renders fire hardening fireproofing upgrade on their actual house, and mails them a postcard, all on autopilot. here's how contractors in fire zones can close $30k–$60k fireproofing jobs with this: - pulls live fire detections from NASA FIRMS satellites every 5 minutes - finds every home in the fire perimeter from public records - captures the property via Google Street View - classifies roof type + fire vulnerabilities using AI vision - generates a NASA satellite image of the neighborhood with real fire hotspots overlaid - renders a fire hardening retrofit on their actual house - prints a postcard with the NASA fire map + before/after retrofit + QR code every step from fire detection to mailbox runs without a human reply "FIRE" + RT and i'll send you the full guide so you can build this too (must be following so i can DM)

Chris

175,205 次观看 • 4 个月前

Gemma 4 just dropped. I had it captioning video in real-time within an hour. Running locally on a MacBook. No cloud. No API. Real-time scene understanding. Oh and SAM3 is segmenting every object in the same frame. Same laptop.

Gemma 4 just dropped. I had it captioning video in real-time within an hour. Running locally on a MacBook. No cloud. No API. Real-time scene understanding. Oh and SAM3 is segmenting every object in the same frame. Same laptop.

Maziyar PANAHI

196,846 次观看 • 4 个月前

chucked it on the best server i have literally rapid fire lol so satisfying. rewards every 3 mins 🔥

chucked it on the best server i have literally rapid fire lol so satisfying. rewards every 3 mins 🔥

better money glitch

28,167 次观看 • 1 年前

"do you have the video of the hoard of pukeko chicks all running to the person recording but someone edited the DAMN! sound effect for like every chick so its just 100 DAMNNSS overlapped i cant find it" -> ye

"do you have the video of the hoard of pukeko chicks all running to the person recording but someone edited the DAMN! sound effect for like every chick so its just 100 DAMNNSS overlapped i cant find it" -> ye

pukeko

83,306 次观看 • 1 年前

“I feel like every day when I opened that door, I had no idea what was going to be behind it. And the person I wanted to be behind it… was”

“I feel like every day when I opened that door, I had no idea what was going to be behind it. And the person I wanted to be behind it… was”

Ali is watching LI

47,269 次观看 • 1 个月前

I just created my own LaTeX-OCR app using Llama 3.2 Vision! Upload the LaTeX code as an image, and it gives you the corresponding LaTeX code using Llama 3.2 multimodal! Here's what I used: - Ollama for serving Llama 3.2 vision locally - Streamlit for the UI Everything is just 50 lines of code! Find the code in the next tweet. -- Every day, I share tutorials and insights on DS, ML, LLMs, and RAGs. Find me → Avi Chawla

I just created my own LaTeX-OCR app using Llama 3.2 Vision! Upload the LaTeX code as an image, and it gives you the corresponding LaTeX code using Llama 3.2 multimodal! Here's what I used: - Ollama for serving Llama 3.2 vision locally - Streamlit for the UI Everything is just 50 lines of code! Find the code in the next tweet. -- Every day, I share tutorials and insights on DS, ML, LLMs, and RAGs. Find me → Avi Chawla

Avi Chawla

15,610 次观看 • 1 年前

i just open-sourced one of our internal GTM skills introducing the /company-research skill ask your agent to build you a target account list - it finds prospects that fit your ICP and runs deep research on every company via the Browserbase CLI

i just open-sourced one of our internal GTM skills introducing the /company-research skill ask your agent to build you a target account list - it finds prospects that fit your ICP and runs deep research on every company via the Browserbase CLI

Jay

89,647 次观看 • 3 个月前

Jim Jordan explains why he knows it isn’t true that 3 Chinese balloons flew over the US when Trump was president: “No one believes that. Every single person in the Trump foreign policy sector said that didn’t happen.”

Jim Jordan explains why he knows it isn’t true that 3 Chinese balloons flew over the US when Trump was president: “No one believes that. Every single person in the Trump foreign policy sector said that didn’t happen.”

Ron Filipkowski

2,019,754 次观看 • 3 年前

SAM ALTMAN LAST YEAR ON HIS OPENAI STAKE: “I make no money from OpenAI. I’m doing this because I love it.” Dude. Whenever someone says they aren’t “doing it for the money,” just realize…100% of the time…they are lying to you. Every single person on this planet is greedy beyond imagination. People can do things authentically and in a way that they believe truly is ethical but ANYONE who is doing something ambitious (and rightly so) has a plan to eventually make money. MONEY MAKES THE WORLD SPIN. There are ethical and unethical ways to make it, but every single person wants more of it. Sam Altman is now worth $10.5B, becoming the 250th richest person overnight, if his reported stake of 7% in OpenAI becomes actualized.

SAM ALTMAN LAST YEAR ON HIS OPENAI STAKE: “I make no money from OpenAI. I’m doing this because I love it.” Dude. Whenever someone says they aren’t “doing it for the money,” just realize…100% of the time…they are lying to you. Every single person on this planet is greedy beyond imagination. People can do things authentically and in a way that they believe truly is ethical but ANYONE who is doing something ambitious (and rightly so) has a plan to eventually make money. MONEY MAKES THE WORLD SPIN. There are ethical and unethical ways to make it, but every single person wants more of it. Sam Altman is now worth $10.5B, becoming the 250th richest person overnight, if his reported stake of 7% in OpenAI becomes actualized.

amit

786,453 次观看 • 1 年前

Mobile dev in 2026 looks nothing like it did in 2024. Editing an iOS app with cursor, live, in an iOS simulator running in the cloud on Revyl, with Expo hot reload over the air. Every change shows up instantly. No Xcode. No provisioning. No cables.

Mobile dev in 2026 looks nothing like it did in 2024. Editing an iOS app with cursor, live, in an iOS simulator running in the cloud on Revyl, with Expo hot reload over the air. Every change shows up instantly. No Xcode. No provisioning. No cables.

Landseer Enga

21,567 次观看 • 1 个月前

An Anthropic engineer watched me trade from across the table at a WeWork in SF I had my laptop open. Four agents running. Green charts. Live trades scrolling. He was on a Zoom call. Muted himself. Walked over. "Are you running Claude against live prediction markets right now" I told him. Claude Code. Two repos. $25 a month. He pulled up a chair. "I helped build the model you're using. I've never seen anyone wire it to live trades like this" I showed him the dataset. 86 million trades. Every wallet. Every entry. Every exit. He stared at it. "We tested this internally. You give Claude a dataset and don't tell it what to look for. It finds the winning wallets. Then it finds WHY they win. Then it copies the pattern. We never shipped it because legal killed it" I told him I did exactly that. One weekend. Claude Code found the exit logic on its own. Top wallets exit before resolution 91% of the time. They capture 86% of expected value. Cut losers at 12%. Everyone else captures 58% and holds to 41%. "That's the exact finding from our internal eval. Except ours took a team of eight and four months" I showed him the scanner. Three commands. 500+ markets. No API key. Claude scores them all in 20 minutes. "You're using our model to beat markets we're not allowed to touch. On infra that costs less than my lunch" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400. 19 days. I showed him the full breakdown. Every repo. Every command. Every dollar. Copytrade here: He read it for five minutes. Then looked up. "If my manager sees this he's going to lose his mind. You just proved our model works in production and we've been sitting on it for a year" He DM'd me that night. "Take this down before someone at Anthropic finds it" Too late.

An Anthropic engineer watched me trade from across the table at a WeWork in SF I had my laptop open. Four agents running. Green charts. Live trades scrolling. He was on a Zoom call. Muted himself. Walked over. "Are you running Claude against live prediction markets right now" I told him. Claude Code. Two repos. $25 a month. He pulled up a chair. "I helped build the model you're using. I've never seen anyone wire it to live trades like this" I showed him the dataset. 86 million trades. Every wallet. Every entry. Every exit. He stared at it. "We tested this internally. You give Claude a dataset and don't tell it what to look for. It finds the winning wallets. Then it finds WHY they win. Then it copies the pattern. We never shipped it because legal killed it" I told him I did exactly that. One weekend. Claude Code found the exit logic on its own. Top wallets exit before resolution 91% of the time. They capture 86% of expected value. Cut losers at 12%. Everyone else captures 58% and holds to 41%. "That's the exact finding from our internal eval. Except ours took a team of eight and four months" I showed him the scanner. Three commands. 500+ markets. No API key. Claude scores them all in 20 minutes. "You're using our model to beat markets we're not allowed to touch. On infra that costs less than my lunch" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400. 19 days. I showed him the full breakdown. Every repo. Every command. Every dollar. Copytrade here: He read it for five minutes. Then looked up. "If my manager sees this he's going to lose his mind. You just proved our model works in production and we've been sitting on it for a year" He DM'd me that night. "Take this down before someone at Anthropic finds it" Too late.

Lunar

224,021 次观看 • 4 个月前

An OpenAI engineer stopped me at a hackathon in Hayes Valley I had my terminal open on a table. Three panels. Live trades scrolling. He was walking past and froze. "That's not a demo. That's a live scoring engine. What model is that" I told him. Claude Opus 4.7. Four repos. $25 a month. He pulled up a chair without asking. "We benchmarked Opus 4.7 internally. It beat o3 on structured reasoning across every eval we ran. And you're telling me you're using it to trade" I told him it does more than trade. It reads 86 million trades and finds who wins and why. No fine-tuning. No prompting chains. Just raw context. He leaned back. "Show me the data source" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You point Opus 4.7 at this and it reverse-engineers the strategy. It finds the wallets that win. Then it finds why they win. Then it copies the pattern" His team spent 14 months building something similar. 10 engineers. Custom infra. Still in staging. "The part that killed us was exit timing. Every model we trained nailed entries. But the best traders exit before the crowd. We never figured out the threshold" I told him my bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever comes first. He stopped talking. "How did you find that" Opus 4.7 found it in poly_data. Top wallets exit before resolution 86% of the time. Losers hold to 58%. Exits are the entire game. I opened another tab. "Three commands. 500 markets. Opus scores them in 20 minutes" "That's our internal eval pipeline. Except it took us a year and you did it in a weekend with our competitor's model" My setup: Claude Opus 4.7 - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400 in 19 days. Copytrade here: I showed him the article where I broke down every repo and every command. He read it twice. Then looked up. "You just published what we've been trying to ship for six months. Using the other team's model" He texted me the next day. "My manager found your thread. Delete it" Too late.

An OpenAI engineer stopped me at a hackathon in Hayes Valley I had my terminal open on a table. Three panels. Live trades scrolling. He was walking past and froze. "That's not a demo. That's a live scoring engine. What model is that" I told him. Claude Opus 4.7. Four repos. $25 a month. He pulled up a chair without asking. "We benchmarked Opus 4.7 internally. It beat o3 on structured reasoning across every eval we ran. And you're telling me you're using it to trade" I told him it does more than trade. It reads 86 million trades and finds who wins and why. No fine-tuning. No prompting chains. Just raw context. He leaned back. "Show me the data source" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You point Opus 4.7 at this and it reverse-engineers the strategy. It finds the wallets that win. Then it finds why they win. Then it copies the pattern" His team spent 14 months building something similar. 10 engineers. Custom infra. Still in staging. "The part that killed us was exit timing. Every model we trained nailed entries. But the best traders exit before the crowd. We never figured out the threshold" I told him my bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever comes first. He stopped talking. "How did you find that" Opus 4.7 found it in poly_data. Top wallets exit before resolution 86% of the time. Losers hold to 58%. Exits are the entire game. I opened another tab. "Three commands. 500 markets. Opus scores them in 20 minutes" "That's our internal eval pipeline. Except it took us a year and you did it in a weekend with our competitor's model" My setup: Claude Opus 4.7 - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400 in 19 days. Copytrade here: I showed him the article where I broke down every repo and every command. He read it twice. Then looked up. "You just published what we've been trying to ship for six months. Using the other team's model" He texted me the next day. "My manager found your thread. Delete it" Too late.

Lunar

136,549 次观看 • 4 个月前

Marcus Mariota was tripped on this sack. No flag, it was being looked at for something else. I find it absolutely ridiculous that you can’t throw a flag for that because that’s not what you were looking for, they need to change the replay rules.

Marcus Mariota was tripped on this sack. No flag, it was being looked at for something else. I find it absolutely ridiculous that you can’t throw a flag for that because that’s not what you were looking for, they need to change the replay rules.

SM Highlights

108,103 次观看 • 8 个月前

There’s been a fire where I live. I was out on my jog when a few lads and I rushed over to see what was happening, and before we knew it, we’d ended up running all the way to the local station. Nottinghamshire Fire and Rescue Service do a fantastic job. I just hope everyone is ok

There’s been a fire where I live. I was out on my jog when a few lads and I rushed over to see what was happening, and before we knew it, we’d ended up running all the way to the local station. Nottinghamshire Fire and Rescue Service do a fantastic job. I just hope everyone is ok

Jack Roworth

12,262 次观看 • 2 个月前

“At 6:00 this morning the Fire Department was alerted to a report of a fire at 2086 Anthony Avenue. We arrived to find heavy fire in two buildings and very quickly transmitted a 2nd alarm. It eventually became a 3rd alarm, bringing more than 40 fire and EMS units and 150 fire and EMS personnel to the scene. We had fire throughout two buildings, and unfortunately, we did have two fatalities,” said Chief of Department John Esposito. “We did unfortunately have a car parked on the closest fire hydrant. We’ve seen that now a couple of times in the last week throughout the City. We all know that we should not be parking on fire hydrants and when you park on fire hydrants, it slows us down. When we’re fighting a fire, seconds count.” The GNY Red Cross and NYC Emergency Management are on scene to assist displaced residents. FDNY Fire Marshals are investigating the cause and origin of the fire.

“At 6:00 this morning the Fire Department was alerted to a report of a fire at 2086 Anthony Avenue. We arrived to find heavy fire in two buildings and very quickly transmitted a 2nd alarm. It eventually became a 3rd alarm, bringing more than 40 fire and EMS units and 150 fire and EMS personnel to the scene. We had fire throughout two buildings, and unfortunately, we did have two fatalities,” said Chief of Department John Esposito. “We did unfortunately have a car parked on the closest fire hydrant. We’ve seen that now a couple of times in the last week throughout the City. We all know that we should not be parking on fire hydrants and when you park on fire hydrants, it slows us down. When we’re fighting a fire, seconds count.” The GNY Red Cross and NYC Emergency Management are on scene to assist displaced residents. FDNY Fire Marshals are investigating the cause and origin of the fire.

FDNY

94,477 次观看 • 1 年前

this AI agent builds and sells info products on full autopilot. here's how: - scan subreddits like r/anxiety, r/solotravel, r/socialskills, r/overthinking every few hours - find the fears people keep posting about over and over - generate a short PDF guide that actually helps them through it - spin up a landing page with payments built in - scan Reddit 24/7 for people posting about that exact problem and drop helpful comments pointing them to the guide - run completely hands off it finds the pain, builds the product and finds the customers. fully automated reply "AGENT" + RT and I'll send you a free guide so you can set it up too (must be following so I can DM)

this AI agent builds and sells info products on full autopilot. here's how: - scan subreddits like r/anxiety, r/solotravel, r/socialskills, r/overthinking every few hours - find the fears people keep posting about over and over - generate a short PDF guide that actually helps them through it - spin up a landing page with payments built in - scan Reddit 24/7 for people posting about that exact problem and drop helpful comments pointing them to the guide - run completely hands off it finds the pain, builds the product and finds the customers. fully automated reply "AGENT" + RT and I'll send you a free guide so you can set it up too (must be following so I can DM)

Chris

24,483 次观看 • 4 个月前

Every single person I know that has previewed Tiana's so far was evac'd at least once. A ride operator estimated it has run properly a total of 3 hours in the past 5 days of attempted operations.

Every single person I know that has previewed Tiana's so far was evac'd at least once. A ride operator estimated it has run properly a total of 3 hours in the past 5 days of attempted operations.

Brayden

541,728 次观看 • 2 年前