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We have started taking DYNA-1, our dexterous robust VLA model, to conferences and showcasing it for hours on end! The model run for 3 days, 8 hours each day at #HITEC2025 3 weeks ago with 99.9% overall success rate (dropped 1 towel in day 2). No intervention, it just... show more

Dyna Robotics

6,803 subscribers

55,390 views • 1 year ago •via X (Twitter)

Science & Technology #HITEC2025

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This is what Dubai Airport Terminal 3 has looked like for the last 4 days. Day and night. - Our flight kept getting delayed and cancelled for THREE days. - After each cancellation, you have to rebook in queues like this. - I stood for two nights straight. EIGHT HOURS each time.

This is what Dubai Airport Terminal 3 has looked like for the last 4 days. Day and night. - Our flight kept getting delayed and cancelled for THREE days. - After each cancellation, you have to rebook in queues like this. - I stood for two nights straight. EIGHT HOURS each time.

Solomon King #FreeBesigye

53,242 views • 2 years ago

CLAUDE SCANNED GITHUB FOR 24 HOURS AND CAME BACK WITH A POLYMARKET BOT WALLET UP $143,379. He reverse engineered it overnight, threw $90 at the strategy, and woke up to instant proof it was real. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Follow Choya 2. Comment 'CLAUDE' 3. Like and Retweet this post (so i can DM you)

CLAUDE SCANNED GITHUB FOR 24 HOURS AND CAME BACK WITH A POLYMARKET BOT WALLET UP $143,379. He reverse engineered it overnight, threw $90 at the strategy, and woke up to instant proof it was real. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Follow Choya 2. Comment 'CLAUDE' 3. Like and Retweet this post (so i can DM you)

Choya

10,962 views • 6 days ago

GPT-5.5 is MUCH more reliable on longer running tasks - for the first time with any model. As we speak I have a migration running for over 7+ hours - this literally never happened before, the models would maybe run for 30 mins or of you really shout at them for 2-3 hours. Last night I went to sleep, set a long running task, then queued up 10 prompts to 'keep it going'. It did not stop after the first prompt and kept going for 8+ hours and I woke up to all the same prompts still queued up. The ability to run for a long time, in combination with ability to validate with computer use & other tools, makes it much more useful for building real applications.

GPT-5.5 is MUCH more reliable on longer running tasks - for the first time with any model. As we speak I have a migration running for over 7+ hours - this literally never happened before, the models would maybe run for 30 mins or of you really shout at them for 2-3 hours. Last night I went to sleep, set a long running task, then queued up 10 prompts to 'keep it going'. It did not stop after the first prompt and kept going for 8+ hours and I woke up to all the same prompts still queued up. The ability to run for a long time, in combination with ability to validate with computer use & other tools, makes it much more useful for building real applications.

Peter Gostev

105,642 views • 5 months ago

HOLY MOLY: Aikido got GPT-6 Astra in advance to run it on our Cybersecurity benchmark, it crushed EVERY other model! - At pass@3 it rediscovered 29/32 CVEs, the highest recall we've ever recorded and 4 more than GPT-5.6-Sol - Even at pass@1, it has 75% recall. The model is VERY consistent - The performance however come at a high price (literally). The three runs cost us almost $4,000 Astra is now the #1 model on the benchmark Debarshi and I built, and by a LOT 1/3 🧵

HOLY MOLY: Aikido got GPT-6 Astra in advance to run it on our Cybersecurity benchmark, it crushed EVERY other model! - At pass@3 it rediscovered 29/32 CVEs, the highest recall we've ever recorded and 4 more than GPT-5.6-Sol - Even at pass@1, it has 75% recall. The model is VERY consistent - The performance however come at a high price (literally). The three runs cost us almost $4,000 Astra is now the #1 model on the benchmark Debarshi and I built, and by a LOT 1/3 🧵

pilvar (Philippe Dourassov)

49,224 views • 23 days ago

CLAUDE SCANNED GITHUB FOR 24 HOURS AND CAME BACK WITH A POLYMARKET BOT WALLET UP $143,379. He reverse engineered it overnight, threw $90 at the strategy, and woke up to instant proof it was real. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'CLAUDE' 2. Like and Retweet this post 3. Follow me Polash Khan (so i can DM you)

CLAUDE SCANNED GITHUB FOR 24 HOURS AND CAME BACK WITH A POLYMARKET BOT WALLET UP $143,379. He reverse engineered it overnight, threw $90 at the strategy, and woke up to instant proof it was real. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'CLAUDE' 2. Like and Retweet this post 3. Follow me Polash Khan (so i can DM you)

Polash Khan

32,781 views • 13 days ago

We finally pulled the plug on per day pricing. It had to be done. The problem with per day pricing is it always creates winners and losers. - If we’re on site for 8 hours and don’t quite finish, we feel obligated to work extra to get it done. We lose. - If we finish a project in 5 hours and the customer paid for 8, they feel like they lost. It’s a simple system to start with. Customers understand it, it’s easy to quote, but it’s not scalable. It relies too much on experience and too much back and forth. So we switched to project based pricing. Now we’ve got 3 tiers of brush density and 3 tiers of terrain. Tier 1 is easy, Tier 3 is tough. Pricing scales per quarter acre, with volume discounts on larger jobs. It seems more complex on paper, but in reality it’s repeatable, reliable, and something we can train any new hire to do. We calculate the project, send the estimate, and that’s it. No more “estimated days” language. No more winners and losers. We’re much happier with this system.

We finally pulled the plug on per day pricing. It had to be done. The problem with per day pricing is it always creates winners and losers. - If we’re on site for 8 hours and don’t quite finish, we feel obligated to work extra to get it done. We lose. - If we finish a project in 5 hours and the customer paid for 8, they feel like they lost. It’s a simple system to start with. Customers understand it, it’s easy to quote, but it’s not scalable. It relies too much on experience and too much back and forth. So we switched to project based pricing. Now we’ve got 3 tiers of brush density and 3 tiers of terrain. Tier 1 is easy, Tier 3 is tough. Pricing scales per quarter acre, with volume discounts on larger jobs. It seems more complex on paper, but in reality it’s repeatable, reliable, and something we can train any new hire to do. We calculate the project, send the estimate, and that’s it. No more “estimated days” language. No more winners and losers. We’re much happier with this system.

Alex B

25,944 views • 1 year ago

DAY 1 vs DAY 30 - BELLY TO ABS 🔥 You just need 2 CHAIRS at home! 30S Each Exercise | 3 Rounds | 1 Min Rest No gym. No excuses. Just 15 mins daily. *Short Hook Version:* How I went from DAY 1 to DAY 30 with 2 chairs 🪑🪑 30 sec each = Abs on fire 🔥 Would you try this for 30 days? 👇 Thoppaiya 30 naal la Six Pack ah maaralam! 🤯 2 chair irundha pothum, veetla ye pannalam!🔥🔥

DAY 1 vs DAY 30 - BELLY TO ABS 🔥 You just need 2 CHAIRS at home! 30S Each Exercise | 3 Rounds | 1 Min Rest No gym. No excuses. Just 15 mins daily. Short Hook Version: How I went from DAY 1 to DAY 30 with 2 chairs 🪑🪑 30 sec each = Abs on fire 🔥 Would you try this for 30 days? 👇 Thoppaiya 30 naal la Six Pack ah maaralam! 🤯 2 chair irundha pothum, veetla ye pannalam!🔥🔥

FITNESS WORLD💪✌

29,164 views • 27 days ago

A peanut-sized Chinese model just dethroned Gemini at reading documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.

A peanut-sized Chinese model just dethroned Gemini at reading documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.

AlphaSignal

92,137 views • 5 months ago

A peanut-sized Chinese model just dethroned Gemini at reading documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.

A peanut-sized Chinese model just dethroned Gemini at reading documents. GLM-OCR is a 0.9B parameter vision-language model. It scores 94.62 on OmniDocBench V1.5, ranking #1 overall. For context, it outperforms models 100x its size. 100% open-source. It works in two stages. 1. A layout engine detects every region in a document. 2. Each region gets read in parallel. The model predicts multiple tokens per step instead of one. That's what makes it so fast at small size. It handles things most OCR tools struggle with: > Complex tables and nested layouts > Handwritten text and stamps > Math formulas and code blocks > Mixed image-and-text documents You can run it locally through Ollama. It fits on edge devices with limited compute. Every expensive OCR API just got a free competitor.

Jafar Najafov

13,630 views • 5 months ago

What have they done to Battlefield ?? What have they laced it with? >Play 4 hours >Get bored of the map rotation and no big maps >That's probably enough Battlefield for the day >30 mins go by >Start missing it >Load it up >Play another 4 hours >Repeat 3 times per day

What have they done to Battlefield ?? What have they laced it with? >Play 4 hours >Get bored of the map rotation and no big maps >That's probably enough Battlefield for the day >30 mins go by >Start missing it >Load it up >Play another 4 hours >Repeat 3 times per day

butch.

1,183,739 views • 1 year ago

And here we go — welcome to Day 1 of Based 7 Days of Xmas. We’re starting simple… but essential. 🎁 Day 1 Challenge 1) Quote tweet this post 2) Tag a fellow Pal & wish them “Merry Xmas from all of us at Based” in your native language 3) Use #BASEDXMAS 🎲 3 winners chosen at random ❤️ But if an entry truly stands out… it might just win our hearts and who knows.. it is the season of giving after all ;) 🎁 Presents to be won 🥇 1st: 6 Blind Boxes 🥈 2nd: 4 Blind Boxes 🥉 3rd: 2 Blind Boxes Merry Day 1 Xmas Pals 🎄✨ Let the cheers begin! ⏳24 hours

And here we go — welcome to Day 1 of Based 7 Days of Xmas. We’re starting simple… but essential. 🎁 Day 1 Challenge 1) Quote tweet this post 2) Tag a fellow Pal & wish them “Merry Xmas from all of us at Based” in your native language 3) Use #BASEDXMAS 🎲 3 winners chosen at random ❤️ But if an entry truly stands out… it might just win our hearts and who knows.. it is the season of giving after all ;) 🎁 Presents to be won 🥇 1st: 6 Blind Boxes 🥈 2nd: 4 Blind Boxes 🥉 3rd: 2 Blind Boxes Merry Day 1 Xmas Pals 🎄✨ Let the cheers begin! ⏳24 hours

BasedPals

24,398 views • 9 months ago

Day 8. START! As promised, we have an insane day. Bringing all the years together into a 3D model. ⚠️ TODAY AT 1 PM CT ⚠️ Credits to Yuniiho and Nanoless_ for the design and making this possible. Special thanks to Mari_Art and Baffler for this. 🔥🐉

Day 8. START! As promised, we have an insane day. Bringing all the years together into a 3D model. ⚠️ TODAY AT 1 PM CT ⚠️ Credits to Yuniiho and Nanoless_ for the design and making this possible. Special thanks to Mari_Art and Baffler for this. 🔥🐉

Zentreya⚡🐲⚔️ SVA

76,055 views • 1 year ago

Our development team is breaking new ground in market prediction accuracy. Just two weeks ago we shared a video showcasing $YAI Oracle's training model with an accuracy rate of 0.6703. #Today marks another milestone as we proudly announce a significant leap in predictive precision with a remarkable 23.83% increase. Propelling the Oracle's prediction accuracy to an astounding high of 0.830. 1/

Our development team is breaking new ground in market prediction accuracy. Just two weeks ago we shared a video showcasing $YAI Oracle's training model with an accuracy rate of 0.6703. #Today marks another milestone as we proudly announce a significant leap in predictive precision with a remarkable 23.83% increase. Propelling the Oracle's prediction accuracy to an astounding high of 0.830. 1/

Ÿ

90,448 views • 2 years ago

L-14 days We spent 6 hours in the Dragon simulator and were pleasantly surprised to receive our boarding pass at the end of the day. Tomorrow, we’ll have an opportunity to observe Crew-9’s deorbit from Hawthorne and ask questions as it happens. Welcome home, Suni and Butch!

L-14 days We spent 6 hours in the Dragon simulator and were pleasantly surprised to receive our boarding pass at the end of the day. Tomorrow, we’ll have an opportunity to observe Crew-9’s deorbit from Hawthorne and ask questions as it happens. Welcome home, Suni and Butch!

Chun

95,575 views • 1 year ago

American shows the price to rent a new movie on Amazon Prime has now risen all the way up to $19.99 (she shows proof) This isn’t to buy it, this is just to rent it for 24 hours It used to cost $3 at Blockbuster and you got to keep it for 3 days

American shows the price to rent a new movie on Amazon Prime has now risen all the way up to $19.99 (she shows proof) This isn’t to buy it, this is just to rent it for 24 hours It used to cost $3 at Blockbuster and you got to keep it for 3 days

Wall Street Apes

577,745 views • 7 months ago

Tillamook better start checking those expiration dates. 😂 Opened block cheese: 3–4 weeks. Slices: 1–2 weeks. Shredded: about 1 week. Problem is, nobody wants it. At this rate they’re gonna have to start handing out free cheddar in the parking lot just to clear the shelves.

Tillamook better start checking those expiration dates. 😂 Opened block cheese: 3–4 weeks. Slices: 1–2 weeks. Shredded: about 1 week. Problem is, nobody wants it. At this rate they’re gonna have to start handing out free cheddar in the parking lot just to clear the shelves.

Gunther Eagleman™

147,895 views • 9 days ago

codex usage got f**king nerfed. so i'm switching from gpt-5.6 sol (max) to mimo-v2.6-pro on opencode... it matches the performance for 1/10th price and almost 2x speed [here is how to set it up in codex in 1 min] 1. model-router → model-picker → toggle the... 2. Cmd+Q Codex 3. ready to go

codex usage got f**king nerfed. so i'm switching from gpt-5.6 sol (max) to mimo-v2.6-pro on opencode... it matches the performance for 1/10th price and almost 2x speed [here is how to set it up in codex in 1 min] 1. model-router → model-picker → toggle the... 2. Cmd+Q Codex 3. ready to go

Avid

34,982 views • 5 days ago

Watch till end 👇👇 1. *LOOSE SKIN GONE*: 3 exercises. 14 days. That’s it. 2. *Tighten + tone your arms without the gym* 3. *Your arms will thank you in 2 weeks* 4. *3 moves to fix underarm "bingo wings"* 5. *Save this: Daily 14-day arm ..👍👍

Watch till end 👇👇 1. LOOSE SKIN GONE: 3 exercises. 14 days. That’s it. 2. Tighten + tone your arms without the gym 3. Your arms will thank you in 2 weeks 4. 3 moves to fix underarm "bingo wings" 5. *Save this: Daily 14-day arm ..👍👍

Skin Care & Nutrition Tips🍸

11,453 views • 2 months ago

Full day 3 of our Springball lift for or Line Group. thread. Day 1 and 2 are Squat and Bench Focused. We do cut the volume down by about 1/3 during springball. Priority goes to the lift we get the most MEANINGFUL results from. Low box clean 3x2 at 75%

Full day 3 of our Springball lift for or Line Group. thread. Day 1 and 2 are Squat and Bench Focused. We do cut the volume down by about 1/3 during springball. Priority goes to the lift we get the most MEANINGFUL results from. Low box clean 3x2 at 75%

Conor Hughes

49,170 views • 1 year ago