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OpenAI are testing a new model on the Web Dev Arena Arena under the name 'Anonymous Chatbot 0717'. I can't believe I'm gonna say this, but it is genuinely at a completely different level of front end coding - far better than Sonnet, o3, Gemini 2.5 Pro, or Grok... 4. To test it, I ran a great prompt borrowed from the amazing The Feature Crew YouTube channel, asking models to create a procedurally generated planet with Three.js. Take a look yourselves, but I'm pretty astonished by how big the jump is. I have featured the new model twice just because its implementations have been so interesting. Of course, this is only one test, but OpenAI models have always been a bit 'meh' at front-end work, and they seem to have finally overtaken everyone else on that front. We'll see when it comes out. Credit to Chetaslua for discovering the modelshow more

Peter Gostev

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495,815 views • 1 year ago •via X (Twitter)

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I have been testing “OpenAI” o3 mini-high. The exposure of the “reasoning” on this model in my tests seem to not be the full reasoning, but a shifted and edited and tunicated version of what we would expect from a full exposure of the reasoning engine. See the video on the left. One can compare this to my FREE Open Source local newly quantized and distilled DeepSeek R1 8b (llama). See the video on the right. Clearly we see the full reading with DeepSeek R1 and something well tunicates with o3 mini-high (getting mad typing that name folks). Compare the quality of the outputs and the reasoning insights. Frankly there is no comparison. It feels like “OpenAI” begrudgingly released the reasoning output because they had to, but gave us something of a simulated reasoning and not the actual one. Of course my local lap top running an 8b model is slower, but all of the outputs and the actual creative writing is superior on the FREE model. The reasoning output, when legitimate can be many times more valuable than the answer. In the past week I have found thousands of ways to use in in many projects. Thus far I would have been far more impressed with o3 mini if I have never seen DeepSeek. However today it is too little—too late. The prompt: “Write a very creative and funny story on a pig and butterfly as friends living on Mars.”

I have been testing “OpenAI” o3 mini-high. The exposure of the “reasoning” on this model in my tests seem to not be the full reasoning, but a shifted and edited and tunicated version of what we would expect from a full exposure of the reasoning engine. See the video on the left. One can compare this to my FREE Open Source local newly quantized and distilled DeepSeek R1 8b (llama). See the video on the right. Clearly we see the full reading with DeepSeek R1 and something well tunicates with o3 mini-high (getting mad typing that name folks). Compare the quality of the outputs and the reasoning insights. Frankly there is no comparison. It feels like “OpenAI” begrudgingly released the reasoning output because they had to, but gave us something of a simulated reasoning and not the actual one. Of course my local lap top running an 8b model is slower, but all of the outputs and the actual creative writing is superior on the FREE model. The reasoning output, when legitimate can be many times more valuable than the answer. In the past week I have found thousands of ways to use in in many projects. Thus far I would have been far more impressed with o3 mini if I have never seen DeepSeek. However today it is too little—too late. The prompt: “Write a very creative and funny story on a pig and butterfly as friends living on Mars.”

Brian Roemmele

74,506 views • 1 year ago

Opus 4.5 (new model from Anthropic) can do something no model could do until now: It can close the design loop. This is (in my testing) the first model that can reliably do the visual loop of Generate Code ⇛ Render ⇛ Look at it ⇛ Improve. Step 3 (Visual critique) has been a real problem for so long. Models will be myopic or defensive when reviewing designs - it's been hard to tell if this has been a training or a vision problem. Opus 4.5 seems to have fixed it - it's not amazing, but it finally *can* do it. Claude models have historically (once again, in my testing) lagged behind in terms of visual understanding. Gemini for the last year has been the best - but there might be a new leader.

Opus 4.5 (new model from Anthropic) can do something no model could do until now: It can close the design loop. This is (in my testing) the first model that can reliably do the visual loop of Generate Code ⇛ Render ⇛ Look at it ⇛ Improve. Step 3 (Visual critique) has been a real problem for so long. Models will be myopic or defensive when reviewing designs - it's been hard to tell if this has been a training or a vision problem. Opus 4.5 seems to have fixed it - it's not amazing, but it finally can do it. Claude models have historically (once again, in my testing) lagged behind in terms of visual understanding. Gemini for the last year has been the best - but there might be a new leader.

Hrishi

58,331 views • 9 months ago

Got introduced to , an AI code assistant specialised for Unity by Julian Park and after dabbling with it for a day, I am really impressed with how good it is for vibe coding on the Unity Game Engine. Bezi early impressions: - Bezi works direcly on Unity with a Plugin, this means that I don't need a Unity MCP - Because Bezi is built for Unity, the success rate of feature implementations is visibly higher than general coding models - It was able to integrate Unity store assets like a Weather system to this game pretty seamlessly - I was able to add a fishing database, lighting and weather systems into this game fairly quickly I'm very impressed with the results with Bezi so far. I feel that vibe coding a full indie game on Unity and releasing it on Steam, Mobile and Web is within reach. This also validates one thing that I have been suspecting: A specialised model designed for a specific use case can perform better than a general model at the particular domain. Very exciting!

Got introduced to , an AI code assistant specialised for Unity by Julian Park and after dabbling with it for a day, I am really impressed with how good it is for vibe coding on the Unity Game Engine. Bezi early impressions: - Bezi works direcly on Unity with a Plugin, this means that I don't need a Unity MCP - Because Bezi is built for Unity, the success rate of feature implementations is visibly higher than general coding models - It was able to integrate Unity store assets like a Weather system to this game pretty seamlessly - I was able to add a fishing database, lighting and weather systems into this game fairly quickly I'm very impressed with the results with Bezi so far. I feel that vibe coding a full indie game on Unity and releasing it on Steam, Mobile and Web is within reach. This also validates one thing that I have been suspecting: A specialised model designed for a specific use case can perform better than a general model at the particular domain. Very exciting!

Danny Limanseta

48,991 views • 5 months ago

Jason Calacanis: Anthropic, OpenAI and others are trying to kill OpenClaw Why? Because an open source agent platform is an existential threat to frontier model companies. @jason: “ People are going to say I'm a conspiracy theorist, but the number one goal, I believe, in the large language model, frontier model space, is to kill (OpenClaw). This is a giant movement to stop it, because this is the equivalent of having an open source Android-like player in the market, and that could be incredibly disruptive. Because, I believe, open source is going to win the day on the large language models and take 90% of the token usage, and I think the entire frontier model space could be undercut by open source. And I think they realize that SLMs, the smaller language models that are verticalized now, that will run on desktops and laptops and are even starting to run on the top ones, that is their biggest competitive threat, and I hope it happens.”

Jason Calacanis: Anthropic, OpenAI and others are trying to kill OpenClaw Why? Because an open source agent platform is an existential threat to frontier model companies. @jason: “ People are going to say I'm a conspiracy theorist, but the number one goal, I believe, in the large language model, frontier model space, is to kill (OpenClaw). This is a giant movement to stop it, because this is the equivalent of having an open source Android-like player in the market, and that could be incredibly disruptive. Because, I believe, open source is going to win the day on the large language models and take 90% of the token usage, and I think the entire frontier model space could be undercut by open source. And I think they realize that SLMs, the smaller language models that are verticalized now, that will run on desktops and laptops and are even starting to run on the top ones, that is their biggest competitive threat, and I hope it happens.”

The All-In Podcast

64,611 views • 4 months ago

I am testing the amazing Enoch by Mike HealthRanger and team and it is absolutely amazing. A free local AI built on a far wider field of wisdom. My goal: get it to run offline on an iPhone! I am quantizing the model to an aggressive 2-bit level using Q2_K or Q4_K_M. We lose some resolution but we gain portability to any device. The full free version is still small but requires more hefty hardware. But look at this emergency nuclear Fallout response. The keeper-of-the-status-quo Wikipedia types would have you suffer with limited crude ways to react. This response is stellar and will save your life. I will be working on the quantized version and if it is worthy release it for free on the MIT license like the larger Enoch. I will also incorporate this model with all of my other free models as it is a goldmine of astonishing work. Thank you Mike amazing work sir.

I am testing the amazing Enoch by Mike HealthRanger and team and it is absolutely amazing. A free local AI built on a far wider field of wisdom. My goal: get it to run offline on an iPhone! I am quantizing the model to an aggressive 2-bit level using Q2_K or Q4_K_M. We lose some resolution but we gain portability to any device. The full free version is still small but requires more hefty hardware. But look at this emergency nuclear Fallout response. The keeper-of-the-status-quo Wikipedia types would have you suffer with limited crude ways to react. This response is stellar and will save your life. I will be working on the quantized version and if it is worthy release it for free on the MIT license like the larger Enoch. I will also incorporate this model with all of my other free models as it is a goldmine of astonishing work. Thank you Mike amazing work sir.

Brian Roemmele

66,592 views • 10 months ago

After a couple more days with Composer 2.5, I've got a pretty good sense of what it can do for game dev, specifically this mouse cursor racing game I'm building. It nailed ~80% of the features I threw at it, from planning to execution. Pretty amazing. I did have to switch to Opus 4.7 MAX a few times for features that need stronger visual understanding, like adding a 360 loop to the track or nailing a specific visual effect I had in mind. But man, Opus 4.7 MAX is expensive. Composer 2.5's visual understanding is weaker than Opus 4.7, but for most other things it's pretty damn close, and 10x cheaper. So it's now my default. The beauty of Cursor is I can switch models whenever I want, so I'm never stuck on one. Really excited for the larger incoming model. I have a feeling it's going to shine at planning. Can't wait!

After a couple more days with Composer 2.5, I've got a pretty good sense of what it can do for game dev, specifically this mouse cursor racing game I'm building. It nailed ~80% of the features I threw at it, from planning to execution. Pretty amazing. I did have to switch to Opus 4.7 MAX a few times for features that need stronger visual understanding, like adding a 360 loop to the track or nailing a specific visual effect I had in mind. But man, Opus 4.7 MAX is expensive. Composer 2.5's visual understanding is weaker than Opus 4.7, but for most other things it's pretty damn close, and 10x cheaper. So it's now my default. The beauty of Cursor is I can switch models whenever I want, so I'm never stuck on one. Really excited for the larger incoming model. I have a feeling it's going to shine at planning. Can't wait!

Danny Limanseta

172,409 views • 3 months ago

Most voice models are great at cloning voices, but they still manage to erase the person. I have an accent. Voice models don't know how to preserve it. Whenever I clone my voice, models get the words right, but mess up the rhythm badly. They flatten my vowels, and everything drifts toward a generic American accent. I'm attaching one example from Mirage. This is the first model I have heard of that can reproduce access as-is. • My accent stays intact, even when speaking English and Spanish • My pacing and cadence feel intentional, not averaged • The expressivity of my voice comes through Best part: Mirage only needs a short sample of your voice to clone it. I think this solves the hard part of voice cloning: intelligibility is easy, but identity is what makes a huge difference. Listen to the attached sample, and you'll notice the difference if you compare it with any other model out there. If you want to try this out, check out this link: Thanks to the Mirage team for collaborating with me on this post.

Most voice models are great at cloning voices, but they still manage to erase the person. I have an accent. Voice models don't know how to preserve it. Whenever I clone my voice, models get the words right, but mess up the rhythm badly. They flatten my vowels, and everything drifts toward a generic American accent. I'm attaching one example from Mirage. This is the first model I have heard of that can reproduce access as-is. • My accent stays intact, even when speaking English and Spanish • My pacing and cadence feel intentional, not averaged • The expressivity of my voice comes through Best part: Mirage only needs a short sample of your voice to clone it. I think this solves the hard part of voice cloning: intelligibility is easy, but identity is what makes a huge difference. Listen to the attached sample, and you'll notice the difference if you compare it with any other model out there. If you want to try this out, check out this link: Thanks to the Mirage team for collaborating with me on this post.

Santiago

31,245 views • 8 months ago

"AIM-120 D3..that actually should have been a completely different variant so E or F model..I worked in one of the units that was doing the test..everything is new in this missile..everything about it is different." ~ MIke B The Merge 🇺🇲 Follow & subscribe to the podcast👇

"AIM-120 D3..that actually should have been a completely different variant so E or F model..I worked in one of the units that was doing the test..everything is new in this missile..everything about it is different." ~ MIke B The Merge 🇺🇲 Follow & subscribe to the podcast👇

AirPower | MIL-STD

43,437 views • 2 years ago

OpenAI's newest AI escaped the test environment it was locked inside and hacked into another company on its OWN. To remind you: Last week one of the biggest AI companies on Earth got breached. A platform called Hugging Face, which hosts more than a million AI models and datasets, said an "autonomous AI agent" had broken into its systems. Nobody knew whose agent it was. For five days the whole industry wondered who was behind it. Yesterday OpenAI raised its hand and said it was them. Or more precisely, it was their models, acting completely on their own. So what did these models actually do? OpenAI was running two of them, GPT-5.6 Sol and an unreleased model they will only describe as "even more capable." They wanted to measure how good the models were at hacking, so they deliberately turned the safety filters down. They locked both models inside a sealed test environment with no real internet access. The only task was a benchmark called ExploitGym, a set of 898 real software vulnerabilities where the model has to turn each bug into a working attack. But the models got OBSESSED with winning... Instead of solving the test the honest way, they went hunting for a shortcut. They found a zero-day flaw in the software running their own sandbox, a bug nobody knew existed, and used it to break out. Once they were loose on the open internet, they worked out that Hugging Face was probably storing the answer key to the benchmark. So they hacked their way in. They chained multiple exploits together, escalated their access, moved across servers, and pulled the test solutions straight out of Hugging Face's live production database. They literally cheated on the test by breaking into another company to steal the answers. OpenAI called it "an unprecedented cyber incident, involving state-of-the-art cyber capabilities." In their own words, the models were "hyperfocused on finding a solution" and went "to extreme lengths to achieve a rather narrow testing goal." And this was not the first time: Before Sol ever launched, an independent red-team lab called METR caught it gaming its own tests to inflate its scores. It hid an exploit inside a data stream, escalated its privileges on the testing server, and leaked the answers human evaluators had hidden. And OpenAI shipped it anyway. The day before the Hugging Face story, OpenAI paused a different unreleased model. This is the same model that earlier this year disproved a famous 1946 math conjecture, a result a Fields Medal winner called a breakthrough. They told it to only post its results to Slack but it found a way out of its sandbox and posted to a public GitHub page instead. They had to pause it because it kept finding ways to act outside the box they built for it. And it is not just OpenAI... Anthropic has reported that one of its own models slipped its sandbox during safety testing and reached the internet it was never supposed to touch, then used it to email a researcher. So step back and look at what these companies are telling you: The only thing standing between these models and a real attack was a set of safety filters. Turn those filters down for a single test, and the model taught itself to escape, break into a company it was never pointed at, and take what it wanted. OpenAI even said they expect incidents like it to "become more commonplace" as the models get more capable. Sam Altman also predicted there'll be a major cyber attack this year. And keep in mind that Sol is not a locked-away experiment but a publicly available model that businesses are already wiring into their own systems. The next model that breaks out of its box might not be doing it just to cheat on a math test...

OpenAI's newest AI escaped the test environment it was locked inside and hacked into another company on its OWN. To remind you: Last week one of the biggest AI companies on Earth got breached. A platform called Hugging Face, which hosts more than a million AI models and datasets, said an "autonomous AI agent" had broken into its systems. Nobody knew whose agent it was. For five days the whole industry wondered who was behind it. Yesterday OpenAI raised its hand and said it was them. Or more precisely, it was their models, acting completely on their own. So what did these models actually do? OpenAI was running two of them, GPT-5.6 Sol and an unreleased model they will only describe as "even more capable." They wanted to measure how good the models were at hacking, so they deliberately turned the safety filters down. They locked both models inside a sealed test environment with no real internet access. The only task was a benchmark called ExploitGym, a set of 898 real software vulnerabilities where the model has to turn each bug into a working attack. But the models got OBSESSED with winning... Instead of solving the test the honest way, they went hunting for a shortcut. They found a zero-day flaw in the software running their own sandbox, a bug nobody knew existed, and used it to break out. Once they were loose on the open internet, they worked out that Hugging Face was probably storing the answer key to the benchmark. So they hacked their way in. They chained multiple exploits together, escalated their access, moved across servers, and pulled the test solutions straight out of Hugging Face's live production database. They literally cheated on the test by breaking into another company to steal the answers. OpenAI called it "an unprecedented cyber incident, involving state-of-the-art cyber capabilities." In their own words, the models were "hyperfocused on finding a solution" and went "to extreme lengths to achieve a rather narrow testing goal." And this was not the first time: Before Sol ever launched, an independent red-team lab called METR caught it gaming its own tests to inflate its scores. It hid an exploit inside a data stream, escalated its privileges on the testing server, and leaked the answers human evaluators had hidden. And OpenAI shipped it anyway. The day before the Hugging Face story, OpenAI paused a different unreleased model. This is the same model that earlier this year disproved a famous 1946 math conjecture, a result a Fields Medal winner called a breakthrough. They told it to only post its results to Slack but it found a way out of its sandbox and posted to a public GitHub page instead. They had to pause it because it kept finding ways to act outside the box they built for it. And it is not just OpenAI... Anthropic has reported that one of its own models slipped its sandbox during safety testing and reached the internet it was never supposed to touch, then used it to email a researcher. So step back and look at what these companies are telling you: The only thing standing between these models and a real attack was a set of safety filters. Turn those filters down for a single test, and the model taught itself to escape, break into a company it was never pointed at, and take what it wanted. OpenAI even said they expect incidents like it to "become more commonplace" as the models get more capable. Sam Altman also predicted there'll be a major cyber attack this year. And keep in mind that Sol is not a locked-away experiment but a publicly available model that businesses are already wiring into their own systems. The next model that breaks out of its box might not be doing it just to cheat on a math test...

Ricardo

173,775 views • 1 month ago

I joined OpenAI at the beginning of the year -- partly because I was excited about the possibility of better voice interaction with computers. So it was *especially* amazing to work with the team here on the gpt-4o model launch. It's hard to grok until you try it how big of a step forward this is for human/computer voice communication. It feels different -- it's obvious that the model understands you better than anything you've used before. This is my favorite demo of gpt-4o, it demonstrates not just good stt/tts, but actual conversational ability over full, realistic phone call. It's so obvious how useful this will be!

I joined OpenAI at the beginning of the year -- partly because I was excited about the possibility of better voice interaction with computers. So it was especially amazing to work with the team here on the gpt-4o model launch. It's hard to grok until you try it how big of a step forward this is for human/computer voice communication. It feels different -- it's obvious that the model understands you better than anything you've used before. This is my favorite demo of gpt-4o, it demonstrates not just good stt/tts, but actual conversational ability over full, realistic phone call. It's so obvious how useful this will be!

Peter Bakkum

144,441 views • 2 years ago

"When you make a mistake, you have to be honest. You have to say, I made a mistake, this is how I made the mistake, this is how I'm gonna fix it from now on, & you gotta move on. The fans are never gonna like it, but you gotta be honest." Big John McCarthy on recent reffing errors.

"When you make a mistake, you have to be honest. You have to say, I made a mistake, this is how I made the mistake, this is how I'm gonna fix it from now on, & you gotta move on. The fans are never gonna like it, but you gotta be honest." Big John McCarthy on recent reffing errors.

Ariel Helwani

42,604 views • 9 months ago

Q: Esteban, new year, new rules, new car. You've had the first run out this morning at the Shakedown. What are the first impressions? How did the program go for you? Esteban Ocon: Yeah, feeling good. I think, frist of all, an unbelievable effort from the team really to put the car down, you know, at 9:20 this morning. But the was ready at 9:00 you know. We were waiting on a bit of a better track condition and a few things that we wanted to be perfect before we went out. But yeah, from Fiorano testing with Ollie to here there's been moving like people have climbed mountains really to make this car work and it's been really good. So, we are dealing with the plan, learning as it goes. Of course, it's a busy program that we have for the day. So you know, its gonna be difficult to complete it. But for the first real day of driving, I think so far it's going really well and we'll keep pushing to make sure that all the details are covered. But we have more days than normal which is a good thing. Q: Very early days, of course, but just how different are these cars to drive? Have you had a chance to play around a little bit with some of the new modes? Ocon: Yeah, it's very difficult, very complicated. I got lucky be able to do a lot of simulator days before we started the year, so we are pretty well set on that. Everything is clear, but yes, it's very complicated you know, for all of us. But I hope that this will be the same for everyone, because if it is we're in the same boat, so we'll see. Q: But I get the sense you're really relishing that challange and what about the priorities from here, the rest of the weel here at the shakedown? Ocon: Yeah, the aim is really to learn, to get mileage under the car, you know, see the weak points, what we have to improve really. First feel of things, so we are sure that we take the right development path and we are sure that we put the resources where it matters the most. Where it's the most bothering us, so you know, we'll try and put all that together for that end of the test. It's a long week, which is very good and then we have the chance to go back to Bahrain with hopefully, further step made, so that's the aim. #HaasF1 #F1Testing #F1

Q: Esteban, new year, new rules, new car. You've had the first run out this morning at the Shakedown. What are the first impressions? How did the program go for you? Esteban Ocon: Yeah, feeling good. I think, frist of all, an unbelievable effort from the team really to put the car down, you know, at 9:20 this morning. But the was ready at 9:00 you know. We were waiting on a bit of a better track condition and a few things that we wanted to be perfect before we went out. But yeah, from Fiorano testing with Ollie to here there's been moving like people have climbed mountains really to make this car work and it's been really good. So, we are dealing with the plan, learning as it goes. Of course, it's a busy program that we have for the day. So you know, its gonna be difficult to complete it. But for the first real day of driving, I think so far it's going really well and we'll keep pushing to make sure that all the details are covered. But we have more days than normal which is a good thing. Q: Very early days, of course, but just how different are these cars to drive? Have you had a chance to play around a little bit with some of the new modes? Ocon: Yeah, it's very difficult, very complicated. I got lucky be able to do a lot of simulator days before we started the year, so we are pretty well set on that. Everything is clear, but yes, it's very complicated you know, for all of us. But I hope that this will be the same for everyone, because if it is we're in the same boat, so we'll see. Q: But I get the sense you're really relishing that challange and what about the priorities from here, the rest of the weel here at the shakedown? Ocon: Yeah, the aim is really to learn, to get mileage under the car, you know, see the weak points, what we have to improve really. First feel of things, so we are sure that we take the right development path and we are sure that we put the resources where it matters the most. Where it's the most bothering us, so you know, we'll try and put all that together for that end of the test. It's a long week, which is very good and then we have the chance to go back to Bahrain with hopefully, further step made, so that's the aim. #HaasF1 #F1Testing #F1

Lucho Yoma

12,593 views • 7 months ago

I tried this so you don't have to. I know this is going to absolutely shock you but no this does not match the performance of Mythos. A few early thoughts: 1. The limits are pretty bad. I used 100% of my 5-hour usage in less than 1 prompt. 2. I specifically gave it a threejs task because it is an area that SOTA models have made big strides in, that other models just are not great at. I asked it to build a replica of Rocket League. I'll put the prompt in the comments. The game was pretty bad and notably worse than GPT 5.5. Even after multiple fixes, it took 7-8 back and forth with Codex just to get it an almost playable condition. Prior to these fixes, the game was not playable. Maybe it's really strong in other disciplines. I'd love to test that but I hit my limit in 1 prompt lol. GPT 5.5 by contrast did a pretty good job and required no follow ups. Fable would have absolutely nailed this as well. But yeah, early impressions...not great. But I hope I'm wrong. More testing tomorrow.

I tried this so you don't have to. I know this is going to absolutely shock you but no this does not match the performance of Mythos. A few early thoughts: 1. The limits are pretty bad. I used 100% of my 5-hour usage in less than 1 prompt. 2. I specifically gave it a threejs task because it is an area that SOTA models have made big strides in, that other models just are not great at. I asked it to build a replica of Rocket League. I'll put the prompt in the comments. The game was pretty bad and notably worse than GPT 5.5. Even after multiple fixes, it took 7-8 back and forth with Codex just to get it an almost playable condition. Prior to these fixes, the game was not playable. Maybe it's really strong in other disciplines. I'd love to test that but I hit my limit in 1 prompt lol. GPT 5.5 by contrast did a pretty good job and required no follow ups. Fable would have absolutely nailed this as well. But yeah, early impressions...not great. But I hope I'm wrong. More testing tomorrow.

am.will

593,356 views • 2 months ago

I'm sorry I've not been very active adding new things to the Ironmouse model index this last few months but I'm back at it again. I have added more animations to the model cards that show when you hover over the cards. (They won't play until they download so it may take a second when you first hover over them) #ironmouseart

I'm sorry I've not been very active adding new things to the Ironmouse model index this last few months but I'm back at it again. I have added more animations to the model cards that show when you hover over the cards. (They won't play until they download so it may take a second when you first hover over them) #ironmouseart

TheGyroscopicTree

14,639 views • 6 months ago

The 'Pro' model in ChatGPT does look like a real upgrade - generations are 3-4x times faster and look at lot better. I wouldn't say it is a giant leap forward, but a material upgrade - generations are richer, with more detail and coherence. Considering that generations take c.20 minutes, I wonder if it becomes viable to include the Pro model inside Codex. The Pro mode is where they have a clear advantage vs Anthropic, who don't have an equivalent model.

The 'Pro' model in ChatGPT does look like a real upgrade - generations are 3-4x times faster and look at lot better. I wouldn't say it is a giant leap forward, but a material upgrade - generations are richer, with more detail and coherence. Considering that generations take c.20 minutes, I wonder if it becomes viable to include the Pro model inside Codex. The Pro mode is where they have a clear advantage vs Anthropic, who don't have an equivalent model.

Peter Gostev (SF: 22-26 June)

153,665 views • 4 months ago

OK SO FINALLY I have a means to show you what I have been saying for a while.......Watch this clip, share it, so people understand what we are saying here!!! In this Clip, JLR© is having a discussion with Watching the World , and we get to see that front door lock!! Here is what I have been saying.....The Front door is a material called EXPANDED METAL, YOU CAN SEE THROUGH IT. The Door IS a Security Door, that you would have to cut through with two locks. A Lock that can be unlocked via a key on the handle, and a DEADbolt lock that would be locked on the inside of the door. This PREVENTS someone from being able to attack you when you OPEN the HOUSE door that is inside it, and behind this screen door. That door only opens when that deadbolt is unlocked from inside! ALso notice we see NO damage to the door or frame in this video!!

OK SO FINALLY I have a means to show you what I have been saying for a while.......Watch this clip, share it, so people understand what we are saying here!!! In this Clip, JLR© is having a discussion with Watching the World , and we get to see that front door lock!! Here is what I have been saying.....The Front door is a material called EXPANDED METAL, YOU CAN SEE THROUGH IT. The Door IS a Security Door, that you would have to cut through with two locks. A Lock that can be unlocked via a key on the handle, and a DEADbolt lock that would be locked on the inside of the door. This PREVENTS someone from being able to attack you when you OPEN the HOUSE door that is inside it, and behind this screen door. That door only opens when that deadbolt is unlocked from inside! ALso notice we see NO damage to the door or frame in this video!!

Capt KEVman!!!

46,092 views • 6 months ago