ChatGPT 5.5: Breaking Down Features  🔗 **Source:** [ChatGPT 5.5: Breaking Down Features](https://share.snipd.com/episode/b272a083-df9c-48a8-9c80-ba8d369689d8) ## Highlights - **Host Uses AI Box Daily To Build NoCode Automations** - Jaeden shares his personal use of AI Box as his daily tool to access 80+ models and build automations without coding. - He notes AI Box costs $8.99/month and lets him create newsletter generators that research the web and assemble content. Transcript: Jaeden Schafer Really quick before we get into the stories, I wanted to tell you about AI Box. This is the tool that I personally use pretty much every day now. And it's honestly one of the easiest ways to actually get value out of AI without having to figure out a dozen different subscriptions. AI Box gives you access to over 80 different models of AI all in one place. So you get ChatGPT, Cloud, Gemini, image models, video tools. All of it is in the same place. And the part that is really useful for me personally is that I can build my own automations by just describing what I want. So I'm not a coder. I don't have to, you know, use some weird flowchart. You basically can type in something like, you know, create a newsletter generator that, you know, spits out different images and different content, and it goes and researches the Web to gather information, and it can create that for you. It's all $8.99 a month to get access to all of these tools and it's less than a subscription to something like Chai Chimpti. So if you're interested, go check it out. ([Time 0:01:39](https://share.snipd.com/snip/8c444f17-fa3a-499f-983d-d52a0684e4c7)) - **Big Tech Is Building Its Own AI Chips** - Big tech no longer trusts GPU supply chains and is moving to custom silicon. - Jaeden Schafer points to SpaceX considering GPU manufacturing alongside Meta, Google, Amazon and Apple building chips to secure compute capacity. Transcript: Jaeden Schafer With is SpaceX. There's reports that came out this week that SpaceX is telling their investors they're planning what they're calling a quote, substantial capital expenditure. And one of the things that they floated is manufacturing their own GPUs. Now, they're not saying that they're going to start this tomorrow. But I do think the fact that they're even putting this on a pitch deck tells you something really interesting. Right now we have this massive compute bottleneck. It's very real. Every serious AI company right now is fighting for NVIDIA chips. And the you know, the wait times and the prices are super, super brutal. SpaceX has a ton of in-house AI workloads. They have Starlink, they have Starship, Avionics, they have Autonomy, they have the entire Grok project over at XAI that shares their infrastructure. So they have a ton of demand. And honestly, I think this is what this is telling us right now is that we've basically reached the point where the biggest tech companies in the world no longer trust the GPU supply chain Enough to just be customers. Meta is already doing custom silicon. Google has TPUs. Amazon has Tranium. Apple is building their own inference chips. And I think SpaceX is basically joining that list because they see the need. This makes a lot of sense to me. Whether they pull it off or not is definitely a different question. Chip fabs are very hard. Elon's plate is already very full, but I think the direction is pretty clear. The compute side of AI is becoming just as competitive as the model side. ([Time 0:02:36](https://share.snipd.com/snip/37a4accb-3256-4da0-bd11-059f60e1b3f4)) - **Anthropic's Mythos Plugged Into Microsoft's Dev Tooling** - Microsoft is integrating Anthropic's Claude Mythos Preview into secure coding tools for threat detection and incident response. - Jaeden notes this leverages Mythos's cybersecurity strengths despite prior safety concerns about the model's capabilities. Transcript: Jaeden Schafer The compute side of AI is becoming just as competitive as the model side. Microsoft has just announced that they are integrating advanced models, including, by the way, what they're calling Anthropics Claude Mythos Preview. So Mythos from Cloud is kind of this huge cybersecurity AI model that can find bugs in anything. And it's got like all of these different issues, and they're concerned that it could be used by hackers, all of that, right? Well, Microsoft is actually integrating that. But it's just a preview, it's directly inside of their secure coding framework. And the idea is that Cloud gets used for threat detection, vulnerability scanning and incident response inside of Microsoft's dev tooling. And at the same time, OpenAI has been briefing US federal agencies, state governments and also the Five Eyes intelligence partners on a version of their model called GPT 5.5 cyber. Now, I don't want to be skeptical, but it just feels so much like OpenAI is trying to tag on to what Anthropic did with kind of the mythos hype where there was like oh my gosh the model's so Crazy they had to go like debrief the government and like the government had all this beef with anthropic but now they're like talking to anthropic because they have this super hardcore Model that could like you know wreck all the code bases in the world so anyways huge pr for anthropic their stock rose their credibility everyone's view of them, definitely got a massive Boost. And it feels like OpenAI is trying to just like tack onto that, like, oh, look, we got a really good cyber model too. And so anyways, whatever. I'm not saying it's probably not just as capable, but it does feel like a lot of this is marketing kind of ploy vibes. ([Time 0:03:52](https://share.snipd.com/snip/ac22fb73-6ccb-404c-91b8-6afcbc6e2cfd)) - **OpenAI Briefed Governments On GPT 5.5 Cyber** - OpenAI briefed U.S. and Five Eyes cyber teams on a GPT 5.5 Cyber model as part of positioning in cybersecurity. - Jaeden frames this as OpenAI mirroring Anthropic's PR moves to claim cyber-capable models. Transcript: Jaeden Schafer And at the same time, OpenAI has been briefing US federal agencies, state governments and also the Five Eyes intelligence partners on a version of their model called GPT 5.5 cyber. Now, I don't want to be skeptical, but it just feels so much like OpenAI is trying to tag on to what Anthropic did with kind of the mythos hype where there was like oh my gosh the model's so Crazy they had to go like debrief the government and like the government had all this beef with anthropic but now they're like talking to anthropic because they have this super hardcore Model that could like you know wreck all the code bases in the world so anyways huge pr for anthropic their stock rose their credibility everyone's view of them, definitely got a massive Boost. And it feels like OpenAI is trying to just like tack onto that, like, oh, look, we got a really good cyber model too. And so anyways, whatever. I'm not saying it's probably not just as capable, but it does feel like a lot of this is marketing kind of ploy vibes. But anyways, OpenAI held a Washington event for about 50 cyber defense practitioners. So they're obviously putting a lot of energy into this. ([Time 0:04:27](https://share.snipd.com/snip/38d094d6-2673-45d4-9d93-8b554c8e9fa8)) - **Google Ships Agent Platform With Model Garden** - Google launched a Gemini Enterprise agent platform with a Model Garden of 200+ models and agent management features. - Jaeden highlights shared inboxes and handoffs to make agents coordinate and operate for enterprise workflows. Transcript: Jaeden Schafer Okay, Google just had their big cloud event in Las Vegas this week, they rolled out the Gemini Enterprise agent platform. I think this is basically their attempt to take a swing at OpenAI and Anthropic in the enterprise for the AI agent race. I think first access to over 200 models through Model Garden is something that they're going to be rolling out. So enterprises aren't going to be locked into just Gemini. The second thing is that they launched Gemini 3.1 Pro, Gemini 3.1 Flash Image, a brand new music model called Lyria 3. They launched Gemma 4 on the open source side. And they also built whole management layer. So a shared inbox where AI agents post progress updates, handoff tasks, coordinate with humans. This is interesting because they're building a lot of this infrastructure for the agents to actually go and accomplish tasks and do it well. ([Time 0:05:27](https://share.snipd.com/snip/1f94caac-839a-47a6-9ebc-5a8447227288)) - **AI Is Reshaping Tech Payrolls** - Major tech layoffs and buyouts are being framed as AI-driven workforce reshaping. - Jaeden cites Meta cutting ~10% and Microsoft offering voluntary buyouts while increasing AI CapEx sharply. Transcript: Jaeden Schafer Next up, Meta has just sent a memo to all of their employees announcing that they're cutting about 10% of their workforce. This represents about 8,000 people. Their cuts are going to all roll out on May 20th. They're also scrapping a bunch of plans to hire for 6,000 open roles. So total, the reduction in headcount is closer to about 1400 positions, if you're looking at kind of the unfilled ones. And the reason that they're giving for this over at Meta is AI. Zuckerberg basically told everyone this at the start of the year when he said 2026 would be, quote, the year AI starts to dramatically change the way we work. Now, you know, that could be a really positive thing. A lot of people view this as sort of an ominous thing. But here we are, regardless, Meta's 2026 CapEx guidance is 115 to 135 billion. This is up massively from 72 billion last year. So they're spending way more on AI infrastructure, and they're going to be cutting back on people. So spending more for the AI models and less on the actual people running it. ([Time 0:06:44](https://share.snipd.com/snip/b79d0307-6062-4838-95be-329962caa47a)) - **Use AI To Futureproof Your Job** - Do become highly proficient with AI tools to protect and increase your job prospects. - Jaeden argues people who leverage AI deeply will be retained or easily find new roles if displaced. Transcript: Jaeden Schafer You know, this isn't kind of like the AI is going to take your job someday. I think today we're seeing a lot of these shifts happen. But I do think an important story here is that people that are deeply embedded and skilled with AI and using it to leverage their roles better are the ones that are actually being held On to. And I think this is an important part. Companies are able to do more with less people due to AI. So if you are someone inside of your organization that is, you know, taking full advantage and becoming the most productive as possible, I don't think you have anything to fear truly, Not just because maybe you wouldn't get laid off. Because even if you did, it will be easy for you to find something else. If you are really an expert using your tools, these AI tools for your expertise. So that is that's kind of I mean, this is just the world. So I'm trying to say, you know, I'm trying to tell it like it is, this is kind of the world we live in. But I think that the people that are really taking advantage of these AI tools are the ones that are going to be successful going forward. ([Time 0:09:13](https://share.snipd.com/snip/07a2bb65-be32-440d-8383-6dd72e2b989a)) - **OpenAI Ramping Release Cadence Under Pressure** - OpenAI accelerated release cadence with GPT 5.5 just six weeks after 5.4 due to competitive pressure. - Jaeden links this pace to Anthropic's growth and Google's enterprise moves pushing OpenAI to ship aggressively. Transcript: Jaeden Schafer And this is a big moment for a bunch of different reasons. First, I think speed GPT 5.4 dropped just six weeks ago. So six weeks later, we have an absolutely new model. The cadence is really fast on how they're pushing this out. And I think this tells you a lot about the pressure that OpenAI is under right now. They have pressure both from Anthropic and Google. Those are the two people I think that are pushing them the hardest. Anthropic just hit a $30 billion, you know, annualized revenue run rate and Google just shipped their enterprise agent platform. OpenAI doesn't really get to take any quarters off anymore. Right now they have to be shipping aggressively if they're going to keep up with Anthropic. And one like, I guess, story that I think is really important on why this is so critical for them. This is kind of interesting. I actually don't see a lot of people reporting on this, but there is the secondaries market where employees are able to sell their shares in an organization on like a secondary market. And there's a bunch of like regulation and tricky stuff with that, but that's kind of the base, the basis of what happens there on the secondaries, open AI is valuation, what people are Buying the shares for right now. It's kind of interesting because it's like an indicator of kind of where the stock will go sometimes. But anyways, what OpenAI's shares are selling for right now is $850 billion. That's the valuation if you want to go buy OpenAI shares. Anthropik's shares, $1 trillion. So Anthropik is being priced and valued at higher. A possible part of that where they are, where they are today, but where people can see them going in the future. All of that, I think is giving open AI who's about to IPO and Anthropic is probably about to IPO. They're giving them kind of a really big moment where they need to make a massive push because they don't want, you know, they don't want to IPO and Anthropic. This company has raised way less money. ([Time 0:10:20](https://share.snipd.com/snip/ee0c30c6-82f8-4dc4-8858-c107a08dd25e)) - **GPT 5.5 Marketed As Fully Agentic Work Assistant** - GPT 5.5 is positioned as a 'fully agentic' model focused on multi-step tasks like coding, operating software, research, and document creation. - Jaeden cites benchmark gains and a claimed 60% reduction in hallucinations vs 5.4. Transcript: Jaeden Schafer So the model itself, basically OpenAI's positioning on this is that it is quote unquote fully agentic model, meaning that it's designed to complete all these multi-step computer Tasks with minimal human direction. They specifically highlighted five different categories, analyzing data, writing and debugging code, operating software directly, researching online, creating documents And spreadsheets autonomously. So this is like, they're giving us all a pitch on how to use this inside of work, which is what's interesting to me because their audience of 900 million weekly active users is, I mean, It's just kind of everyday people, but they're putting a big push here into enterprise because Anthropic has just crushed it in that area so much. So as far as the benchmarks go, it's got 88.7% on the SWE bench. It's got 92.4% on the MMLU. It's got 82% on the terminal bench. It's doing really good. They also claim that it has a 60% drop in hallucinations versus GPT 5.4, which it kind of holds up as what we used to be the greatest. ([Time 0:12:11](https://share.snipd.com/snip/679bc28e-b512-43c7-98d8-6caef115bbc3)) - **GPT 5.5 Token Pricing Aims To Monetize Power Users** - GPT 5.5 standard pricing doubles per-token versus 5.4 but OpenAI claims token efficiency keeps per-task costs similar. - Jaeden notes pro tiers are much pricier and OpenAI pushes users to upgrade for better outputs. Transcript: Jaeden Schafer The pricing I think is also where this gets a lot, gets very interesting. The standard GPT 5.5 is $5 per million input tokens and $30 per million output tokens. That doubles GPT 5.4 on paper. But OpenAI is claiming that the model uses tokens more efficiently. So the real world cost per task should be roughly flat or better, right? So this is interesting. They're saying, look, it's, you know, for the output, for the tokens, for the words that it gives you, it's twice as expensive, but because it's so efficient with its tokens, technically It can get a lot more done for a lot less. So it's about the same cost. ([Time 0:13:18](https://share.snipd.com/snip/f7b55f3e-602f-435c-b91d-47c3736edee5))