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I was super intrigued when I noticed that JEV returns not just probs for candidate choices, but also a CONFIDENCE SCORE of it's prediction... I was wondering if TypeSafe AI brought back Bayesian Networks or something to learn uncertainty. Turns out - NO. Acc to their docs, confidence is... show more

AVB

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66,354 次观看 • 6 天前 •via X (Twitter)

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The kids are so energetic and confident. In the center stands the primary class's Chinese teacher. She posted: "What I want to give the kids is not just scores on papers, but also the confidence and joy from their hearts when the music starts!"

The kids are so energetic and confident. In the center stands the primary class's Chinese teacher. She posted: "What I want to give the kids is not just scores on papers, but also the confidence and joy from their hearts when the music starts!"

Li Zexin 李泽欣

12,192 次观看 • 10 个月前

"For us to come out of this road trip 6-1 is a huge confidence boost. I think it says a lot about not only the people in this clubhouse but our organization as a whole." The Cubs are heading into their homestand with added confidence 👏

"For us to come out of this road trip 6-1 is a huge confidence boost. I think it says a lot about not only the people in this clubhouse but our organization as a whole." The Cubs are heading into their homestand with added confidence 👏

Marquee Sports Network

45,757 次观看 • 2 个月前

Brad Garlinghouse just said: “I will give it 75% by the end of April, that we are not just back on track, but very close to being signed.” That’s not hopium. That’s confidence. REGULATORY CLARITY IS COMING When rules become clear, capital follows. And this market moves fast when uncertainty disappears.

Brad Garlinghouse just said: “I will give it 75% by the end of April, that we are not just back on track, but very close to being signed.” That’s not hopium. That’s confidence. REGULATORY CLARITY IS COMING When rules become clear, capital follows. And this market moves fast when uncertainty disappears.

BULLRUNNERS

66,375 次观看 • 7 个月前

JEV is INSANE. We gave it 400 companies and one candidate profile. In 12 seconds, it predicted which jobs the candidate had the highest chance of getting, assigned a confidence score and detected job-candidate mismatches. All for just $0.0005 It can also score companies, analyse your experience, match you with the right roles and identify the opportunities you’re most likely to get based on your profile. Coming soon to Backdoor Comment “JEV” for early access.

Sarvagya Kulshreshtha

150,061 次观看 • 7 天前

Also have been playing with TypeSafe AI Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms

Also have been playing with TypeSafe AI Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms

nader dabit

430,743 次观看 • 8 天前

TESLA SHOWS THE FUTURE: FULLY AUTONOMOUS ROBOTAXI, NO DRIVER, NO BACKUP Tesla is not testing robotaxis anymore. It is rolling them out. * No driver. No backup. Zero remote help across thousands of miles * Autonomy now runs as a service, not just a feature inside your car * No human touch needed. Just code, cameras, and confidence * Designed for scale. Every mile trains the system and sharpens the fleet * Not built to assist drivers. Built to replace them Tesla is not asking for permission. It is showing what comes next. Source: Tesla

TESLA SHOWS THE FUTURE: FULLY AUTONOMOUS ROBOTAXI, NO DRIVER, NO BACKUP Tesla is not testing robotaxis anymore. It is rolling them out. * No driver. No backup. Zero remote help across thousands of miles * Autonomy now runs as a service, not just a feature inside your car * No human touch needed. Just code, cameras, and confidence * Designed for scale. Every mile trains the system and sharpens the fleet * Not built to assist drivers. Built to replace them Tesla is not asking for permission. It is showing what comes next. Source: Tesla

Mario Nawfal

91,151 次观看 • 9 个月前

The part of PixVerse that stood out to me was not just the AI fan host, but the chance to turn a football cheer into something personal. Users can interact with Reina, create personalized cheer videos, and enter a lucky draw for PixVerse service credits. The credits can only be used on PixVerse. They are non transferable and have no cash value. It is a playful early experiment, but I like that it gives users a simple way to make something of their own and share it with others. That mix of creating a cheer moment and joining the credit draw is what I would want to try 👉

The part of PixVerse that stood out to me was not just the AI fan host, but the chance to turn a football cheer into something personal. Users can interact with Reina, create personalized cheer videos, and enter a lucky draw for PixVerse service credits. The credits can only be used on PixVerse. They are non transferable and have no cash value. It is a playful early experiment, but I like that it gives users a simple way to make something of their own and share it with others. That mix of creating a cheer moment and joining the credit draw is what I would want to try 👉

Amit

46,845 次观看 • 2 个月前

Found a great production use case for Jev. I used Jev to organize ~2.3K AI research papers. The total cost was $0.14, and it took about 83 seconds. The process: The papers already had old tags, which I ran through a previous open model (DeepSeek V4 Flash). However, I wasn't confident in the classifications, and I didn't want to spend more on tokens unless I spent time tuning it into a good LLM classifier via few-shot (more expensive). Too tedious, too costly, and unsustainable. Luckily for us, we now have Jev to help us with organizing papers better. So Jev first went through all the papers and retagged them. It agreed with 75% of the previous tags. Jev found about 579 high-confidence topic changes. I evaluated reliability by manually labeling 30 disagreements and accepted all of them. I was astonished by Jev's classification capabilities. We applied and verified all changes in production. I'm much more satisfied with the classifications, but I think there is still room for improvement. Check out the papers here: I will experiment with Jev more. The takeaway is that pipelines can be significantly improved by carefully combining System One and System Two models. Jev clearly unlocks more interesting ways to organize papers and offer a more useful discovery layer for research papers. More updates on that soon.

Found a great production use case for Jev. I used Jev to organize ~2.3K AI research papers. The total cost was $0.14, and it took about 83 seconds. The process: The papers already had old tags, which I ran through a previous open model (DeepSeek V4 Flash). However, I wasn't confident in the classifications, and I didn't want to spend more on tokens unless I spent time tuning it into a good LLM classifier via few-shot (more expensive). Too tedious, too costly, and unsustainable. Luckily for us, we now have Jev to help us with organizing papers better. So Jev first went through all the papers and retagged them. It agreed with 75% of the previous tags. Jev found about 579 high-confidence topic changes. I evaluated reliability by manually labeling 30 disagreements and accepted all of them. I was astonished by Jev's classification capabilities. We applied and verified all changes in production. I'm much more satisfied with the classifications, but I think there is still room for improvement. Check out the papers here: I will experiment with Jev more. The takeaway is that pipelines can be significantly improved by carefully combining System One and System Two models. Jev clearly unlocks more interesting ways to organize papers and offer a more useful discovery layer for research papers. More updates on that soon.

elvis

15,427 次观看 • 5 天前

Not a change, but I've had a TON of folks asking if this is getting changed from June 10. This is a ball hit by Mookie Betts of the Los Angeles Dodgers and it was ruled an error on Jake Mangum of the Pittsburgh Pirates. The only thing I can think of is that Mookie didn't appeal, because this is a base hit, it's always been a base hit, and it will continue to be a base hit. Except on this one play. There is no way a sliding attempt like this is an error. I know Mangum broke the wrong way, but that doesn't factor it ... it's the catch, the physical catch, and there is ZERO CHANCE this is ordinary effort. I know we talk changes here, but this non-change is the most confounding one for me since Aaron Judge's first career walk-off hit, which was the most obvious fielder's choice of all time, but because it was the last play of the season, it didn't get appealed or changed.

Not a change, but I've had a TON of folks asking if this is getting changed from June 10. This is a ball hit by Mookie Betts of the Los Angeles Dodgers and it was ruled an error on Jake Mangum of the Pittsburgh Pirates. The only thing I can think of is that Mookie didn't appeal, because this is a base hit, it's always been a base hit, and it will continue to be a base hit. Except on this one play. There is no way a sliding attempt like this is an error. I know Mangum broke the wrong way, but that doesn't factor it ... it's the catch, the physical catch, and there is ZERO CHANCE this is ordinary effort. I know we talk changes here, but this non-change is the most confounding one for me since Aaron Judge's first career walk-off hit, which was the most obvious fielder's choice of all time, but because it was the last play of the season, it didn't get appealed or changed.

MLB Scoring Changes

40,679 次观看 • 3 个月前

*SOUND UP* Truly blessed to have lived through the Tiger era. There is no comparison today. It wasn’t just the ability. It was the audacity. He had a level of confidence and belief that shouldn’t have existed in a 23 year old. Back in the day when 2-iron approach shots were common place. Miss that. Also, 274 yards lol. Almost all carry.

SOUND UP Truly blessed to have lived through the Tiger era. There is no comparison today. It wasn’t just the ability. It was the audacity. He had a level of confidence and belief that shouldn’t have existed in a 23 year old. Back in the day when 2-iron approach shots were common place. Miss that. Also, 274 yards lol. Almost all carry.

Rick Golfs

190,113 次观看 • 10 个月前

As someone who was there for the wings tour the love yourself tour and the speak yourself I can say with confidence that Arirang tour is their healthiest tour ever. They’re all the happiest version of themselves right now you can clearly see the difference on stage they just have so much fun ☹️

As someone who was there for the wings tour the love yourself tour and the speak yourself I can say with confidence that Arirang tour is their healthiest tour ever. They’re all the happiest version of themselves right now you can clearly see the difference on stage they just have so much fun ☹️

dee the astronaut

40,508 次观看 • 1 个月前

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Dave Portnoy

3,207,515 次观看 • 2 年前

I'm seeing a lot of people saying it is just a bad upscaling instead of Gen AI, but it is indeed Gen AI animation. There are things going on in it that just don't make any sense for puppet animation. Here are some parts that make it clear, I slowed down the video so it's easier to notice the chunky parts. I checked the past ADs and it's possible to notice details (from an animator's POV) that are common and make sense for human work, so it was definitely a choice to use AI on this new AD

I'm seeing a lot of people saying it is just a bad upscaling instead of Gen AI, but it is indeed Gen AI animation. There are things going on in it that just don't make any sense for puppet animation. Here are some parts that make it clear, I slowed down the video so it's easier to notice the chunky parts. I checked the past ADs and it's possible to notice details (from an animator's POV) that are common and make sense for human work, so it was definitely a choice to use AI on this new AD

mei ✨ live2d animator

1,115,104 次观看 • 8 个月前

Wearing this school uniform again takes me back to the little girl I once was—full of hope, ambition, and dreams. If I could speak to her today, I would promise that one day she would return, not just to remember, but to make a difference. Every girl deserves to learn with confidence, dignity, and pride. Menstruation should never be the reason a child misses class or loses hope. Giving back is more than charity; it is a commitment to ensuring that every girl has the opportunity to rise, just as others once made it possible for me. The strongest leaders never forget where they came from. They return to lift those who are walking the same path. #SupportTheGirlChild #MenstrualDignity #WomenLeadership #MamaNairobi #GivingBack #MamaMiradi

Wearing this school uniform again takes me back to the little girl I once was—full of hope, ambition, and dreams. If I could speak to her today, I would promise that one day she would return, not just to remember, but to make a difference. Every girl deserves to learn with confidence, dignity, and pride. Menstruation should never be the reason a child misses class or loses hope. Giving back is more than charity; it is a commitment to ensuring that every girl has the opportunity to rise, just as others once made it possible for me. The strongest leaders never forget where they came from. They return to lift those who are walking the same path. #SupportTheGirlChild #MenstrualDignity #WomenLeadership #MamaNairobi #GivingBack #MamaMiradi

Hon Millicent Omanga

149,836 次观看 • 2 个月前

Just got back from the match, and it still hasn't quite sunk in. Last year was about overcoming the heartbreak and near misses for the first time. This year felt different. There was a calm confidence around this team, a feeling that they had learned from the setbacks and were ready for this moment. Being in the stadium to watch RCB lift their second IPL trophy was genuinely special. Not just because of the result, but because of the journey it took to get here. You could feel what it meant to the players and the fans who have stayed invested through all the highs and lows. Seeing that shared sense of joy at the final whistle is something I'll remember for a long time. A title built on resilience, belief, and delivering when it mattered most. Very glad I got to witness it in person. 🏆❤️ #RCB #IPL

Just got back from the match, and it still hasn't quite sunk in. Last year was about overcoming the heartbreak and near misses for the first time. This year felt different. There was a calm confidence around this team, a feeling that they had learned from the setbacks and were ready for this moment. Being in the stadium to watch RCB lift their second IPL trophy was genuinely special. Not just because of the result, but because of the journey it took to get here. You could feel what it meant to the players and the fans who have stayed invested through all the highs and lows. Seeing that shared sense of joy at the final whistle is something I'll remember for a long time. A title built on resilience, belief, and delivering when it mattered most. Very glad I got to witness it in person. 🏆❤️ #RCB #IPL

Erika Morris

29,359 次观看 • 3 个月前

This is the kind of play that eye testers have a hard time with, but also shows why catch probability is so useful. This ball had just a 55% catch probability, and is just made to look so easy by Ceddanne Rafaela. It's all about what you don't see on the screen, because it happens before the camera is on the play. The jump is 9.0 feet above average. He was positioned well into right-center. Lesser outfielders win catch on the week on this one with a full extension dive.

This is the kind of play that eye testers have a hard time with, but also shows why catch probability is so useful. This ball had just a 55% catch probability, and is just made to look so easy by Ceddanne Rafaela. It's all about what you don't see on the screen, because it happens before the camera is on the play. The jump is 9.0 feet above average. He was positioned well into right-center. Lesser outfielders win catch on the week on this one with a full extension dive.

The WARmonger

437,897 次观看 • 1 年前

Hai again .. i need feedbacks on the back cover for this DJ. I honestly love the peek a boo concept for a cover but there is a high chance there will be a bit of peel on certain part of the paper, i wonder if that’s okay or would u guys prefer a plain cover with no holes ? I’m still testing it out tho i might know how to fix this but just incase !

Hai again .. i need feedbacks on the back cover for this DJ. I honestly love the peek a boo concept for a cover but there is a high chance there will be a bit of peel on certain part of the paper, i wonder if that’s okay or would u guys prefer a plain cover with no holes ? I’m still testing it out tho i might know how to fix this but just incase !

zaire ᯓᡣ𐭩

14,410 次观看 • 1 个月前

seedance 2.0 + my v2 AI UGC prompting system is giving insane results i spent the last 24 hours generating over 200 seedance 2.0 videos to figure out the best prompting framework system for AI UGC this video was made with 1 prompt and 1 tool, no editing was done to the video this was just a prompt to a video this is by far the best model i've ever used and the craziest part is that it can be fully automated this is the first time we can actually automate high quality ai ugc at this level bytedance owns tiktok so this model is trained on millions of high quality ugc videos. you just need to know how to extract that and call it in your prompt. we are so early... it's insane

seedance 2.0 + my v2 AI UGC prompting system is giving insane results i spent the last 24 hours generating over 200 seedance 2.0 videos to figure out the best prompting framework system for AI UGC this video was made with 1 prompt and 1 tool, no editing was done to the video this was just a prompt to a video this is by far the best model i've ever used and the craziest part is that it can be fully automated this is the first time we can actually automate high quality ai ugc at this level bytedance owns tiktok so this model is trained on millions of high quality ugc videos. you just need to know how to extract that and call it in your prompt. we are so early... it's insane

Miko

81,676 次观看 • 7 个月前