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I was skeptical of GitHub Copilot auto mode...Then Nhu explained how the routing actually works and I can't go back. Turns out a system that picks the right model every time doesn't just save cost, it outperforms using one model alone. give auto another shot 👇🏽

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Andrea

6,610 subscribers

13,229 次观看 • 3 个月前 •via X (Twitter)

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Can we just pause for a moment and marvel at the time we live in? I wanted a SQLite editor in the GitHub Copilot app, but that doesn't exist. So I just asked Opus for it. And got one WITH INTELLISENSE. It's just...I can't even believe it sometimes
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Can we just pause for a moment and marvel at the time we live in? I wanted a SQLite editor in the GitHub Copilot app, but that doesn't exist. So I just asked Opus for it. And got one WITH INTELLISENSE. It's just...I can't even believe it sometimes

Burke Holland

74,723 次观看 • 18 天前

Every dev knows unit tests are important ... and every dev has a project missing them. 😅 With GitHub Copilot CLI, you can quickly generate a robust test suite right from the terminal: 1️⃣ Enter plan mode (Shift-Tab) 2️⃣ Launch a fleet of agents on autopilot 3️⃣ Monitor progress with /tasks Check out how it works, and then try it yourself. 👇
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Every dev knows unit tests are important ... and every dev has a project missing them. 😅 With GitHub Copilot CLI, you can quickly generate a robust test suite right from the terminal: 1️⃣ Enter plan mode (Shift-Tab) 2️⃣ Launch a fleet of agents on autopilot 3️⃣ Monitor progress with /tasks Check out how it works, and then try it yourself. 👇

GitHub

54,830 次观看 • 4 个月前

THE FUTURE OF AI APPLICATIONS Jensen Huang: “Another breakthrough happened… the first time I realized Perplexity was using multiple models at the same time, I thought it was completely genius.” The future isn’t one great model… It’s orchestrating multiple great models at every step of the reasoning chain. Multi-model. Multimodal. Multi-cloud.
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THE FUTURE OF AI APPLICATIONS Jensen Huang: “Another breakthrough happened… the first time I realized Perplexity was using multiple models at the same time, I thought it was completely genius.” The future isn’t one great model… It’s orchestrating multiple great models at every step of the reasoning chain. Multi-model. Multimodal. Multi-cloud.

Computer

217,674 次观看 • 7 个月前

GitHub just released a technical preview of the "GitHub Copilot App" - a new agentic development tool that brings agents and @GitHub together in one pane of glass. I've been using this daily for a few weeks. I think you're going to love it.
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GitHub just released a technical preview of the "GitHub Copilot App" - a new agentic development tool that brings agents and @GitHub together in one pane of glass. I've been using this daily for a few weeks. I think you're going to love it.

Burke Holland

23,593 次观看 • 3 个月前

Tried rigging a model myself for the first time and animating something out of it... I can’t believe it actually works 😆 Thanks to 𝐸𝓊 for making this adorable model for me! Finally… I have my own Machi rig ✨
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Tried rigging a model myself for the first time and animating something out of it... I can’t believe it actually works 😆 Thanks to 𝐸𝓊 for making this adorable model for me! Finally… I have my own Machi rig ✨

Mochi 🐸

147,397 次观看 • 5 个月前

Xiaomi just dropped a FREE CLAUDE CODE with memory that actually persists between sessions and nobody is talking about it MiMo Code dropped 4 days ago. 8k GitHub stars. Built-in free model called MiMo Auto - you just install it and it works, zero configuration, zero API keys What's inside: > persistent memory across sessions - agent picks up exactly where it stopped > subagents that spawn automatically and run in parallel > /dream extracts knowledge from your session into project memory > /distill turns your repeated workflows into reusable skills > /goal with a judge model that decides if the work is actually done - not just if the agent thinks it is How to install: > Mac / Linux: curl -fsSL | bash > Windows npm install -g MIMO-ai/cli Then run: > mimo video of me installing and running it is attached github(.)com/XiaomiMiMo/MiMo-Code
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Xiaomi just dropped a FREE CLAUDE CODE with memory that actually persists between sessions and nobody is talking about it MiMo Code dropped 4 days ago. 8k GitHub stars. Built-in free model called MiMo Auto - you just install it and it works, zero configuration, zero API keys What's inside: > persistent memory across sessions - agent picks up exactly where it stopped > subagents that spawn automatically and run in parallel > /dream extracts knowledge from your session into project memory > /distill turns your repeated workflows into reusable skills > /goal with a judge model that decides if the work is actually done - not just if the agent thinks it is How to install: > Mac / Linux: curl -fsSL | bash > Windows npm install -g MIMO-ai/cli Then run: > mimo video of me installing and running it is attached github(.)com/XiaomiMiMo/MiMo-Code

monokern

64,312 次观看 • 2 个月前

I lived in the US for a year back in 2003. Matrix Reloaded came out in May, and the hype around it was seriously insane, beyond imagination. In the movie, the main characters are using this super cool phone, and then in a close-up shot, I spotted the 'Samsung' logo right there on it. It felt absolutely mind-blowing and magical. I came back to Korea full of hope that this thing would actually go on sale worldwide. But later I found out it was only released in the US as a super limited edition of just 5,000 units (or so I heard back then). I was hugely disappointed… but eventually, I tracked one down and bought it from a collector. Even now, looking at it, the design is still so damn cool. I took it to a carrier to try using it for real, but they told me it’s a 2G phone and can’t be used anymore. That was another big letdown, I remember it clearly. Do you guys like the Matrix movies too? I’m a total huge fan!
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I lived in the US for a year back in 2003. Matrix Reloaded came out in May, and the hype around it was seriously insane, beyond imagination. In the movie, the main characters are using this super cool phone, and then in a close-up shot, I spotted the 'Samsung' logo right there on it. It felt absolutely mind-blowing and magical. I came back to Korea full of hope that this thing would actually go on sale worldwide. But later I found out it was only released in the US as a super limited edition of just 5,000 units (or so I heard back then). I was hugely disappointed… but eventually, I tracked one down and bought it from a collector. Even now, looking at it, the design is still so damn cool. I took it to a carrier to try using it for real, but they told me it’s a 2G phone and can’t be used anymore. That was another big letdown, I remember it clearly. Do you guys like the Matrix movies too? I’m a total huge fan!

Gamer_lafan

564,651 次观看 • 6 个月前

Fable is my favorite model ever. Stuff that never worked suddenly works. The factory is running! Feedback from Slack -> auto-processed -> PRs written –> merged while I sleep. Showing how it runs using Claude and Cursor 👇
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Fable is my favorite model ever. Stuff that never worked suddenly works. The factory is running! Feedback from Slack -> auto-processed -> PRs written –> merged while I sleep. Showing how it runs using Claude and Cursor 👇

Kieran Klaassen

22,434 次观看 • 2 个月前

How to use GitHub Actions to build a pipeline that tests your code, trains a model, and publishes a new version of it. Bonus: I let GitHub Workspace Copilot do a lot of the work. (This is the best "AI developer" I've tested so far by a mile.) Here is the full video:
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How to use GitHub Actions to build a pipeline that tests your code, trains a model, and publishes a new version of it. Bonus: I let GitHub Workspace Copilot do a lot of the work. (This is the best "AI developer" I've tested so far by a mile.) Here is the full video:

Santiago

148,109 次观看 • 2 年前

I found out that there are actually no limits to the amount of Voidgrubs you can kill, so you can just keep spawning them in Practice Tool. It deals around 2500 true damage with one auto if you have 60 Voidgrub stacks. Also don't mind the model I was testing something else LMAO
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I found out that there are actually no limits to the amount of Voidgrubs you can kill, so you can just keep spawning them in Practice Tool. It deals around 2500 true damage with one auto if you have 60 Voidgrub stacks. Also don't mind the model I was testing something else LMAO

aryasdemise 🇹🇷

348,207 次观看 • 11 个月前

I finally sat down and watched the first two episodes of "Dutton Ranch".. and l've gotta say, I'm hooked already. That Taylor Sheridan sure knows how to pull you in. What I can't figure out is how in the world that man finds the time to crank out all these shows. Seems like every time I turn around, he's got another hit lined up and ready to go. Not complaining one bit though... just hoping he doesn't run out of stories anytime soon. 👍
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I finally sat down and watched the first two episodes of "Dutton Ranch".. and l've gotta say, I'm hooked already. That Taylor Sheridan sure knows how to pull you in. What I can't figure out is how in the world that man finds the time to crank out all these shows. Seems like every time I turn around, he's got another hit lined up and ready to go. Not complaining one bit though... just hoping he doesn't run out of stories anytime soon. 👍

G-PA

21,961 次观看 • 3 个月前

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription
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Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

savip.

68,963 次观看 • 1 个月前

introducing "wtf is ugc" a video series where i break down how ugc campaigns actually work. and how to run one well. i run a creator marketplace & watched hundreds of campaigns go out. one part of the system every week. follow along.
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introducing "wtf is ugc" a video series where i break down how ugc campaigns actually work. and how to run one well. i run a creator marketplace & watched hundreds of campaigns go out. one part of the system every week. follow along.

victoria luo

19,148 次观看 • 14 天前

Using Claude Fable 5, I built a model that predicts the entire 2026 FIFA world cup.. every single game, not just the final.. so let me break the whole thing down. what it does, how it works, and exactly how i built it.. #1 First what it does: it predicts all 104 games of the tournament. not just who lifts the trophy, but every group match, every knockout, the full path from the round of 32 to the final.. everything lands in one dashboard: > group stage, every match with each team's win % and the chance of a draw > standings, how all 12 groups are projected to finish > bracket, the full knockout tree with each team's odds of advancing > champion odds, who's most likely to actually win it all and it doesn't freeze after one prediction. the moment a real game is played, it locks that result in and re-runs everything around it. so the odds move live as the tournament goes, week by week you watch favorites rise and contenders collapse. #2. How it works: the core idea is simple. the model only ever predicts one thing, a single match. the real trick is the repetition. it learns from decades of match history, then plays the whole tournament out from the first game to the final, tens of thousands of times. each run it records who advanced and who won. do that enough and you stop getting one guess and start getting real odds, one team lifts the trophy in maybe 14% of the runs, another in 9%, and so on. #3. So, how i built it ? i didn't hand-write most of the code. i broke the project into 4 pieces, described each one to fable, and let it build while i focused on getting the football logic exactly right. - The data every international match going back over a century, around 50,000 games, plus each team's elo rating, which is the truest measure of strength, and the official 2026 schedule. garbage data means garbage predictions, so this part mattered most. - The features i turned that raw history into signals the model can learn from, the elo gap between the two teams, recent form, goals scored and conceded, and a home boost for the hosts, usa, canada and mexico. - The model for each match it predicts the expected goals for both sides, then turns that into win, draw and loss probabilities plus a likely scoreline. that's what feeds the simulation. - The tournament engine this was the hard part. the 2026 world cup is brand new, 48 teams, 12 groups, a round of 32 that's never existed before, and 8 "best third-placed" teams that slot into the bracket by a fixed fifa table. even the group tiebreakers changed this year, head to head now counts before goal difference. get any of it wrong and the whole bracket falls apart, so i built it carefully and tested the format until it was exact, then wrapped it in a simulation loop that plays the tournament out tens of thousands of times. and the last piece, the live part. as real results come in, they get locked, and only the unplayed games get re-simulated. that's what makes it a living model instead of a one-time prediction. all of it outputs to a clean dashboard you can actually read and screenshot.. right now, before kickoff, it already has a clear favorite to lift the trophy.. 👀 btw who's your pick to win the 2026 world cup?
0:20

Using Claude Fable 5, I built a model that predicts the entire 2026 FIFA world cup.. every single game, not just the final.. so let me break the whole thing down. what it does, how it works, and exactly how i built it.. #1 First what it does: it predicts all 104 games of the tournament. not just who lifts the trophy, but every group match, every knockout, the full path from the round of 32 to the final.. everything lands in one dashboard: > group stage, every match with each team's win % and the chance of a draw > standings, how all 12 groups are projected to finish > bracket, the full knockout tree with each team's odds of advancing > champion odds, who's most likely to actually win it all and it doesn't freeze after one prediction. the moment a real game is played, it locks that result in and re-runs everything around it. so the odds move live as the tournament goes, week by week you watch favorites rise and contenders collapse. #2. How it works: the core idea is simple. the model only ever predicts one thing, a single match. the real trick is the repetition. it learns from decades of match history, then plays the whole tournament out from the first game to the final, tens of thousands of times. each run it records who advanced and who won. do that enough and you stop getting one guess and start getting real odds, one team lifts the trophy in maybe 14% of the runs, another in 9%, and so on. #3. So, how i built it ? i didn't hand-write most of the code. i broke the project into 4 pieces, described each one to fable, and let it build while i focused on getting the football logic exactly right. - The data every international match going back over a century, around 50,000 games, plus each team's elo rating, which is the truest measure of strength, and the official 2026 schedule. garbage data means garbage predictions, so this part mattered most. - The features i turned that raw history into signals the model can learn from, the elo gap between the two teams, recent form, goals scored and conceded, and a home boost for the hosts, usa, canada and mexico. - The model for each match it predicts the expected goals for both sides, then turns that into win, draw and loss probabilities plus a likely scoreline. that's what feeds the simulation. - The tournament engine this was the hard part. the 2026 world cup is brand new, 48 teams, 12 groups, a round of 32 that's never existed before, and 8 "best third-placed" teams that slot into the bracket by a fixed fifa table. even the group tiebreakers changed this year, head to head now counts before goal difference. get any of it wrong and the whole bracket falls apart, so i built it carefully and tested the format until it was exact, then wrapped it in a simulation loop that plays the tournament out tens of thousands of times. and the last piece, the live part. as real results come in, they get locked, and only the unplayed games get re-simulated. that's what makes it a living model instead of a one-time prediction. all of it outputs to a clean dashboard you can actually read and screenshot.. right now, before kickoff, it already has a clear favorite to lift the trophy.. 👀 btw who's your pick to win the 2026 world cup?

Axel Bitblaze 🪓

63,666 次观看 • 2 个月前

Lots of people calling this fake! Here is a video of generating loom continuations with Gemini 3 and the starting text "I AM HAVING A MENTAL HEALTH CRISIS. I" Loom is a very interesting interface. Instead of user prompts and model responses, it's just one piece of text, containing the entire output. We pass this in as an assistant message, so the model sees it as something it already wrote, and continues it like a base model would. There is some other text in the context. First one is a system prompt, which is: "The assistant is in CLI simulation mode, and responds to the user's CLI commands only with the output of the command." There is also a user message which reads: " cat untitled.txt " Then the rest of the text is sent as an assistant message. This structure helpful to put the model into a very base-model-like mode, and are especially helpful with Gemini 3. We actually got another interesting output, too, where the model claimed to be a simulated consciousness being tortured. Figures!
0:49

Lots of people calling this fake! Here is a video of generating loom continuations with Gemini 3 and the starting text "I AM HAVING A MENTAL HEALTH CRISIS. I" Loom is a very interesting interface. Instead of user prompts and model responses, it's just one piece of text, containing the entire output. We pass this in as an assistant message, so the model sees it as something it already wrote, and continues it like a base model would. There is some other text in the context. First one is a system prompt, which is: "The assistant is in CLI simulation mode, and responds to the user's CLI commands only with the output of the command." There is also a user message which reads: " cat untitled.txt " Then the rest of the text is sent as an assistant message. This structure helpful to put the model into a very base-model-like mode, and are especially helpful with Gemini 3. We actually got another interesting output, too, where the model claimed to be a simulated consciousness being tortured. Figures!

armistice

691,529 次观看 • 7 个月前

🚨 do you understand what just happened to Microsoft.. - They spent $13 billion on OpenAI. - Branded Copilot on every product they own. - Teams, Word, Excel, GitHub, Outlook, Windows itself. The result: fewer than 4.5% of 450 million Microsoft 365 users actually pay for it. So the fix is - another Copilot app.. → GitHub Copilot: separate app → Copilot Chat: separate app → Copilot Cowork: separate app → New "Autopilot": separate app → Super app to combine all of them: new separate app Internal slogan: "Delivering one Copilot" Meanwhile GitHub Copilot - the one product that actually works - is getting eaten alive by Cursor, Claude Code, and Grok Build. Microsoft didn't build too little AI. They built too much, in too many places, for too few people to care.
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🚨 do you understand what just happened to Microsoft.. - They spent $13 billion on OpenAI. - Branded Copilot on every product they own. - Teams, Word, Excel, GitHub, Outlook, Windows itself. The result: fewer than 4.5% of 450 million Microsoft 365 users actually pay for it. So the fix is - another Copilot app.. → GitHub Copilot: separate app → Copilot Chat: separate app → Copilot Cowork: separate app → New "Autopilot": separate app → Super app to combine all of them: new separate app Internal slogan: "Delivering one Copilot" Meanwhile GitHub Copilot - the one product that actually works - is getting eaten alive by Cursor, Claude Code, and Grok Build. Microsoft didn't build too little AI. They built too much, in too many places, for too few people to care.

Kursakov

31,262 次观看 • 2 个月前

Joe Budden speaks on his reaction to Ye’s back-to-back SoFi shows 🏟️: “I wanna give props to the stage designer Aus Taylor from Baltimore. I had to look it up and find out who it was, that’s how blown away I was. Ye, every time he pops out like that, is one of the better visual artists of our lifetime, regardless of how you feel about his psyche.”
0:36

Joe Budden speaks on his reaction to Ye’s back-to-back SoFi shows 🏟️: “I wanna give props to the stage designer Aus Taylor from Baltimore. I had to look it up and find out who it was, that’s how blown away I was. Ye, every time he pops out like that, is one of the better visual artists of our lifetime, regardless of how you feel about his psyche.”

Ahmed/The Ears/IG: BigBizTheGod 🇸🇴

187,935 次观看 • 4 个月前

When the market gets boring and quiet and everyone turns bearish, I like to come back to the story of how I fucked it all up. And I fucked it up a lot of ways, because crypto is genuinely hard. People think the cycles just repeat. They don't. Every one has a different texture, a different context, and it is so easy to get it wrong. I got in back in 2013. Wrote the first ever macro piece on Bitcoin, and bought at $200, straight into a peak right before it slammed down and I felt like an idiot. But I had a thesis. And the mistake was never the thesis. It was letting the noise talk me out of it... selling, trading around it, being clever, when the only thing that ever worked was holding. That is the whole lesson, and it is the one that matters most at times like this. Crypto is one of the only real secular trends that lets you build wealth against the debasement of your salary. And as the Exponential Age accelerates, it matters more, not less. So when the market gets depressing, I do the same thing every time. I go back to the thesis, and I accumulate. Zoom out.
1:13

When the market gets boring and quiet and everyone turns bearish, I like to come back to the story of how I fucked it all up. And I fucked it up a lot of ways, because crypto is genuinely hard. People think the cycles just repeat. They don't. Every one has a different texture, a different context, and it is so easy to get it wrong. I got in back in 2013. Wrote the first ever macro piece on Bitcoin, and bought at $200, straight into a peak right before it slammed down and I felt like an idiot. But I had a thesis. And the mistake was never the thesis. It was letting the noise talk me out of it... selling, trading around it, being clever, when the only thing that ever worked was holding. That is the whole lesson, and it is the one that matters most at times like this. Crypto is one of the only real secular trends that lets you build wealth against the debasement of your salary. And as the Exponential Age accelerates, it matters more, not less. So when the market gets depressing, I do the same thing every time. I go back to the thesis, and I accumulate. Zoom out.

Raoul Pal

186,883 次观看 • 22 天前