Surprise Elon-Anthropic Team Up Reshapes AI Race

Today on the AI Daily Brief, a surprise team up between Elon and Anthropic could totally reshape the AI race. And before

that, in the headlines sort of, it's kind of all one big episode today.

Everything that was announced at the Code with Claude Anthropic event yesterday. The AI Daily Brief is a daily

yesterday. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

Welcome back to the AI Daily Brief, and my goodness, do we have a big one today.

Yesterday was Anthropics Developer Day and so I knew that today's episode was going to be all about whatever it was that they announced. Now there were some really interesting things and in many ways I think you can view their

conference as a really interesting indication of where companies are with agents, the problems they're trying to work on and the significance of harnesses in the AI race. But when it comes to the AI race, everything that

was announced at dev day was absolutely drowned out by the surprise announcement of an Elon Musk, SpaceX, and anthropic teamup. So, what we're going to do today

teamup. So, what we're going to do today is we're not going to strictly divide this into headlines in Maine, but instead the practical tool and techreated announcements from Devday are effectively the headlines while the Elon

Anthro story is going to be the equivalent of the main. But let's talk about dev day because I don't want to underell how interesting it was even though the other thing is dominating the conversation. Right from the beginning

conversation. Right from the beginning you could tell where the emphasis was going to be in this event given that they called it code with claude. Now at

last year's event anthropic rolled out sonnet 4 and opus 4 which was their response to open03.

This year there was no big model release. We didn't get a public roll out

release. We didn't get a public roll out for mythos or even a hint of when and how that might happen. Nor did we get any hints about Opus 48 or 49 or

anything in the line. Instead, the focus was squarely on agents and the applications built around anthropics models, which I think reflects how competition has changed in AI over the

last 6 months. It would be insane to say that models don't matter at this point.

Most high-v value production use cases are of course using either Opus 47 or GPT55. and the advances specifically of

GPT55. and the advances specifically of GPT55 have helped OpenAI significantly reclaim some narrative space. And yet,

if you had to put your finger on the important competition of 2026, it's been way more about Codeex versus Claude Code than it has been about Opus versus GPT.

And I think what we're starting to see is the next evolution in the process.

Increasingly, you see Claude code evolving into an ecosystem of agent harnesses that are tuned for particular workflows. That process began with

workflows. That process began with co-work but has been refined into even more specific workflows like cloud design. And while OpenAI is taking a

design. And while OpenAI is taking a different approach with Codex, trying to centralize all the activity in that one app space, you are at least seeing little hints of this harness customization for example in the form of

Codex's quick start profiles for various different professions. But when it comes

different professions. But when it comes to what was announced at Code with Claw this week, it reads like a map of the key challenges of agents. We have

features focused on memory, features focused on quality review, and even some hints towards a future question of continual learning. The central releases

continual learning. The central releases were all around clawed managed agents.

Now, for those who don't remember, managed agents are Anthropic's way of allowing users to piggyback on Anthropics infrastructure for all the ancillary services that make an agent work. The initial launch in April was

work. The initial launch in April was about providing agents with a sandbox, state management, and error recovery.

With one of the big changes being that user created agents could access a cloud computer rather than needing to operate solely on a local desktop session, i.e.

instead of giving your agent a Mac Mini to work from, you could just spin up a cloud instance on Anthropics infrastructure. Now, very clearly,

infrastructure. Now, very clearly, managed agents was one indication of the harness as a service moment that I called out in an episode a couple of weeks ago where the big labs are effectively taking a lot of the capability set of open, highly

configurable, but highly complex tools like OpenClaw or Hermes and bringing that more easily into their native offerings. And interestingly, some of

offerings. And interestingly, some of the features that Anthropic announced yesterday continue to take their cues from things that have been experimented with in that open space. The first big new feature is something that Enthropic

is calling dreaming. A quote scheduled process that reviews your agent sessions and memory stores, extract patterns, and curates memories so your agents improve over time. Now, dreaming is essentially

over time. Now, dreaming is essentially a memory management system of a fashion.

It's effectively a scheduled memory review that runs between sessions and which, as anthropic puts it, surfaces patterns that a single agent can't see on its own, including recurring mistakes, workflows that agents converge

on, and preferences shared across a team. They continue, "It also

team. They continue, "It also restructures memory so it stays high signal as it evolves." The core idea is to allow agents to not only deliver their completed task, but also to report

what they learned while doing that task, allowing the system to encode those learnings in the orchestration memory to be preloaded the next time that sub agent or agent is called upon. Memories

persist between sessions and should automatically improve agent performance the longer the system is in operation.

Yan Cronberg wrote, "Agents that learn from past sessions and iterate until they hit quality enough is the architecture most teams have been trying to build manually. Dreaming seems to be the missing piece to that puzzle. VC

intern writes, "Think of it as the agent equivalent of REM sleep." Shares points out that this is something that has attracted people to Hermes. They write

that the Hermes agent reviews past conversations, builds skills from experience, has persistent cross- session memory, and gets smarter the longer it runs, which is very similar to what Claw Dreaming shipped. Jeten Gar

writes, "The underrated story of 2026 is that the open- source agent ecosystem is leading on primitives. Noose research

with Hermes for orchestration, Gbrain for personal memory and eval substrates.

These projects shipped working production systems before Anthropic shipped a research preview of similar functionality. The closed labs have raw

functionality. The closed labs have raw model capability. The open source

model capability. The open source ecosystem has agent primitives. Those

are different layers. The open source side has been further ahead on the second one for nearly a year now.

In addition to dreaming, i.e. in

addition to dealing with memory, Enthropic has also improved the oversight of managed agents with a feature called outcomes. Outcomes allow

the user to write a rubric for what success looks like for a particular task. Once an agent completes a task,

task. Once an agent completes a task, that output is scored by a separate grading agent against the rubric. The

separation means that the grading agent isn't influenced by the reasoning of the taskbased agent, but instead looks purely at the output and scores how closely it fits with the provided rubric. If there's a problem, the

rubric. If there's a problem, the grading agent can highlight the issues and kick the task back for another run.

Anthropic has also added web hooks so users will be automatically notified when the task is complete. Anthropic

said that in their testing using outcomes improved file generation quality by 8.4% for word documents and 10.1% for PowerPoint slides scored on their internal benchmarks. Now once

again we are dealing with pretty core challenges of agents. One of the big shifts is that because agents can output so much now, human review becomes a

bottleneck. Because of that, versions of

bottleneck. Because of that, versions of external grading or external grading agents have been a fairly common part of multi-agent system design for some time now. Most of these systems so far,

now. Most of these systems so far, however, have been deployed against coding tasks with the grading agent doing things like automatically running unit tests. The benefit is that coding

unit tests. The benefit is that coding rubrics are typically well- definfined.

A PR either works or it doesn't. The

idea of subjective rubrics applied to non-code knowledgework outputs is a lot less well-developed. Like dreaming, one

less well-developed. Like dreaming, one big impact of the feature will be to make the use of an external grading agent part of the default setup. Users

won't need to string together a grading agent. They can just let Anthropic

agent. They can just let Anthropic handle it behind the scenes. If a

non-technical user is designing a report generation agent, they'll use outcomes to automatically check and iterate on the output before delivery. A lot of the harness work right now is around systems that don't just shut down after first

input, but through some formalized process, whether it's loops or now this outcome rubricbased system, can continue to refine and improve the work without the user having to sit there and manage everything.

Finally, the managed agents platform can now handle multi-agent orchestration.

Anthropic writes that multi-agent orchestration quote, lets a lead agent break the job into pieces and delegate each one to a specialist with its own model, prompts, and tools. For example,

a lead agent can run an investigation while sub agents fan out through deploy history, error logs, metrics, and support tickets. The agents work in

support tickets. The agents work in parallel on a shared file system with their work feeding back into the lead agents overall context, and the lead agent can check in on the sub agents mid workflow to ensure they're still on track. The entire system can be tracked

track. The entire system can be tracked into Claude console, allowing users to see what each sub aent did and in what order. In addition, an explanation of

order. In addition, an explanation of the reasoning behind the task execution is auditable, giving users visibility into the process. In short, right CIF, Claude can now act like an AI worker. It

can take a goal, run tasks on its own, use multiple agents, connect with other tools. Anthropic included a few examples

tools. Anthropic included a few examples of the agentic systems people have built using managed agents. One of the more interesting ones to me came from every with their spiral writing agent. Spiral

is a tool that's meant to, in short, make AI writing not suck, which if you've ever tried to use AI for writing other than just generic business stuff, you know is no small task. Every Spiral

uses a multi- aent system, tapping into a range of different anthropic models for cost optimization. And now they use this new outcomes feature to enforce writing quality. Every has defined their

writing quality. Every has defined their own rubric based on editorial standards and writer voice to ensure the agentic drafting is up to par, which is kind of the whole ballgame for them. Now, it is also worth noting that prior to their

dev day kicking off, Anthropic shipped a big suite of agents for financial services. On Tuesday, the company

services. On Tuesday, the company released a package of 10 predefined agents within Claude Finance. The agents

can be used as plugins for co-work cla code or deployed as managed agents. The

suite includes a pitch builder, a meeting preparer, a market researcher, evaluation reviewer, and a month-end closer among many others. The idea is to give financial services firms the starter pack of basic agents they need

rather than requiring a custom build.

Alongside the agents, Enthropic released a full cookbook so users can understand how the agents work and go in and make modifications as needed. As part of the release, Anthropic highlighted a feature called add-ins which allows Claude to

work directly within productivity software. For example, instead of

software. For example, instead of accessing Microsoft Word via MCP or a connector, Claude can work directly in the program. This means that it has the

the program. This means that it has the software native context such as your company's template for drafting docs or linked spreadsheets for building financial models. In addition, Anthropic

financial models. In addition, Anthropic rolled out a series of new connectors for industry specific platforms including Dun and Bradstreet for business identity, fiscal AI for market analysis, and Verisk for insurance

underwriting. Most of the commentary on

underwriting. Most of the commentary on Twitter was pretty much what you would expect from people trying to win clicks.

Basically claiming that with one fell swoop, Anthropic had killed another wave of AI startups. But in this case, these agents are much more about replacing a bunch of the grunt work that was already semi-automated through traditional

software or outsourced. None of these are really attacking the high-skilled knowledge work. Instead, going after

knowledge work. Instead, going after low-skll repetitive task type of knowledge work. Returning to dev day, in

knowledge work. Returning to dev day, in addition to things that were actually announced, we also got a sneak peek at Enthropic's model training roadmap.

During the opening keynote, research head of product Diane Penn discussed what Anthropic is working on, highlighting three key features of future models. Higher judgment and code

future models. Higher judgment and code taste, quote unquote infinite context windows, and multi-agent coordination.

Going back to this theme that code with claude day was all about anthropic addressing the big challenges of agents, infinite context windows was the feature that got the most attention. The

discussion was largely about whether this would just be an improved version of compaction, i.e. the process by which as the context window fills up, the harness compresses it, leaving only the important details and opening up more

space for the next part of the conversation, or whether it was some more fundamental research breakthrough.

Penn's precise wording to some felt instructive given that the word infinite was in quotation marks and that Penn explained that anthropic is working on context windows that feel infinite. Some

remain skeptical. Peter Den writes infinite context that must be rag wearing a trench coat. No, but Dan Madier speculated on the significance.

He writes, "Anthropic is hinting at infinite context windows. That matters

because models already learn in context.

If you can keep adding to the context window forever, the model can keep learning from experience forever." Some

people will say that's not real continual learning, but that sounds a lot like saying reasoning models don't quote unquote really reason. At some

point, the functional distinction collapses. Infinite context means AI

collapses. Infinite context means AI systems that continually learn. And when

that arrives, it'll be much harder to deny that we haven't arrived at AGI.

The two other little things of note from the actual event itself include Claude code creator Boris Churnney disavowing the term vibe coding. In a side interview, Churnney said that the term is starting to annoy him as it no longer

describes the way that he and most other developers use AI. In a panel discussion on Wednesday's event, Churnney said that there's literally no manually written code anywhere in the company anymore.

Instead, clouds coordinate with each other over Slack, code in loops, and resolve issues across the codebase. In

that context, Churnney thinks the term Vibe is significantly underelling the system. Enthropic workflows now include

system. Enthropic workflows now include copious automated testing and verification to ensure that their code is ready to ship. Still, one challenge is that Boris doesn't have a replacement term to attach to the new process. While

Andre Karpathy, the corner of the vibe coding term, has suggested the term agentic engineering, something about that still isn't sitting right with Boris. He says he's fielding

Boris. He says he's fielding suggestions. So if you have a good term

suggestions. So if you have a good term for the way we use modern coding agents, tweet it at him. The one other mic drop moment from the event itself came when Anthropic CEO Dario Ammed put some actual numbers around Anthropic's insane

growth. Discussing the challenges of

growth. Discussing the challenges of compute, Daario said, "We planned for a world of 10x growth per year. In the

first quarter of this year, we saw 80xed annualized growth per year in revenue and usage." 80x in a single quarter.

and usage." 80x in a single quarter.

Now, the context for those comments was a new SpaceX compute deal through which Daario said, quote, "We're working as quickly as possible to provide more compute than we have in the past."

Wait a second. What you're saying? A

SpaceX compute deal? Yes. After all of those interesting managed agents and memory and infinite context related announcements, after about noon Eastern time yesterday, basically no one was

discussing anything other than a new anthropic SpaceX partnership. With a

tweet sitting at a casual 20 million views at the moment, the Claude AAI account wrote, "We've agreed to a partnership with SpaceX that will substantially increase our compute capacity." They went on to specify how

capacity." They went on to specify how that would allow them to increase immediate term usage limits. But the

CLDR of the deal is that Anthropic now has full use of XAI's Colossus 1 data center. Now, the XAI campus in Memphis

center. Now, the XAI campus in Memphis consists of two main data centers, Colossus 1 and Colossus 2. Colossus 1,

you might remember, was the data center that was built at record speed over a few months in mid to late 2024. It's

since been scaled to contain 220,000 Nvidia GPUs, mostly H100's operating at a 300 megawatt capacity. Colossus 2 is XAI's Blackwell based cluster containing

around 550,000 GPUs. The deal begins immediately with Enthropic stating the inference will be available within the month. Now, in terms of specifics,

month. Now, in terms of specifics, Enthropic is making three changes to deliver this new compute to users.

First, Claude Code's 5-hour rate limit has been doubled for Pro, Max, Team, and seatbased enterprise plans. Second, peak

hour usage reductions for Cloud Code will be eliminated for Pro and Max accounts. Third, Enthropic is raising

accounts. Third, Enthropic is raising the API rate limit for Opus model substantially. Output token throughput

substantially. Output token throughput will be increased between 2x and 10x depending on account tier. Anthropic

head of growth Amal Avisari explained the reasoning for these as the first moves and indicated that there was more to come. Amal wrote only a very small

to come. Amal wrote only a very small percentage hit weekly limits while a much larger portion of users hit the 5-hour limit. So we fixed that first as

5-hour limit. So we fixed that first as the compute comes online. We will look at weekly. Now for most people the first

at weekly. Now for most people the first speculation was all about how this could have possibly come together. While of

course his bigger eye is saved for Sam Alman and OpenAI, Elon has not been a big fan of Anthropic as well. He has

frequently on Twitter referred to them as missanthropic and said that there's no scenario in which they win. So, how

did things change? In a tweet, Elon wrote, "By way of background for those who care, I spent a lot of time last week with senior members of the anthropic team to understand what they do to ensure Claude is good for humanity

and was impressed. Everyone I met was highly competent and cared a great deal about doing the right thing. No one set off my evil detector. So long as they engage in critical self-examination, Claude will probably be good. After

that, I was okay leasing Colossus 1 to Anthropic, as SpaceX had already moved training to Colossus 2. Now, believe it or not, as unexpected as this tie-up seems, if for no other reason than the personalities involved, some had

recently been speculating that it was in fact a perfect mashup. On the All-In podcast, Chimath Palahhapatia recently explained how power constraints would give Elon leverage to make AI deals.

Referring to all of these massive data center projects, Chimath said less than half of it is actually being built. Most

of it is stuck in red tape. There's no

credible strategy to turn any of this stuff on. Who will this hurt? He asked.

stuff on. Who will this hurt? He asked.

It will hurt Anthropic and OpenAI the most. Who will this benefit? It'll

most. Who will this benefit? It'll

benefit the hyperscalers, specifically Oracle Amazon Meta Microsoft and Google. And now, Chimoth continued,

Google. And now, Chimoth continued, "What you're going to see is a negotiation and a trade back and forth.

How much equity do I have to give up?

How much control do I have to give to get access to the comput? How badly will I miss my growth forecast if I don't?"

And then the money shot. That's a huge lane, Chimath said, for Grock and SpaceX to run through because they have a ton of excess capacity. If I were Elon now, I'd be running all over this market because if the models catch up in

quality, I think he could also do something really crazy with anthropic.

He and Daario should do a deal tomorrow.

And from a business perspective, there's twin contexts that make Anthropic and XAI a pretty great match. Anthropic has

of course been straining under a Compute Crunch for all of this year, massively degrading the user experience. I was

literally complaining right before the announcement that there wasn't a day that went by that I could actually just use Claude without interruption.

Anthropic has an extremely compelling model and harness combination, but OpenAI has recently been taking advantage of Daario and Enthropic's underinvestment in compute to start reclaiming some of the space that

Enthropic has opened up this year. On

the Elon side of the ledger, something had to give with XAI as well. Even

before the SpaceX merger, things were heading south. Model improvement had

heading south. Model improvement had completely stalled out with the release of Grock 4.2 in February gathering effectively no real buzz. The company

has no meaningful agentic harness product to compete with Claude Code and Codeex and people on X have even stopped asking Grock if this is true. The

personnel story was also not optimistic.

Each co-founder left one after another over the past year, leaving Elon as the last man standing. And around rumors of huge staff turnover, Elon acknowledged the company was not built right the first time and needed a total rebuild.

Even the reclamation projects didn't seem to be working out. The cursor deal announced last month was heralded as the saving grace. But the information

saving grace. But the information recently reported that there's no plans to co-develop a coding model in a piece that they framed as cursor keeping its distance from XAI. And yet what XAI does

have is a warehouse full of GPUs with too little to do. So as Derek Thompson put it, Musk has compute capacity but a meh model and Anthropic has a fantastic

model with weak capacity. And thus a new alliance is born. Now, if you'll give me a minute to speculate a little bit further, I think it's interesting to broaden out this conversation, even beyond the very obvious and specific

reasons for that tie-up. I think Elon has two things going on simultaneously.

First, in Elon world, it seems to me that he's long wanted the one company to rule them all. It's always felt like over time there would be some inevitable realignment between all the pieces of

the Elon Empire. I mean, the man puts X in all the names, at least in part so they could be easily recombined. Now,

for a long time, the obvious bet as the leading entity was Tesla, which is why I predicted last year that if XAI couldn't really break out of its very behind position, I thought Elon would end up

folding XAI in with Tesla. Now, there

was this weird little X factor, see what I did there, for a while, of whether XAI itself could somehow surge and become the one to own them all. The only reason that was even possible was the clear

recognition of the significance of AI relative to all the other industries.

And for a minute there was a hint that maybe that would be the direction as XAI folded in X. But obviously reality intervened and the one company to rule them all in the Elon Empire was going to

be something different. Now second, Elon has for a long time been determined to have an outsized hand in shaping AI, which to him is absolutely not about making more money and much more about

him thinking he needs to be involved for the sake of humanity. And there have kind of always been examples of these two goals potentially intersecting. I'm

thinking especially of him wanting to fold open AAI into Tesla early on. So,

how do we get to SpaceX being the absorber rather than Tesla? And what

does it suggest about what SpaceX is actually going to become? Now, first

note, I wouldn't go so far as to predict that Elon will absolutely continue to drive consolidation into one company. He

may ultimately be fine with Tesla and SpaceX as big and separate with smaller things like Boring off on the side. But

there are some inside AI and outside AI reasons why I think SpaceX has started to make more sense as one of the crown jewels. First, Tesla has stalled at

jewels. First, Tesla has stalled at least a little bit. Fully autonomous

driving is really, really hard technologically. And it also has major

technologically. And it also has major barriers outside of technology in society and politics and consumers that no matter how good Elon is at building stuff, he can't just force his way

through. I also think the fact that

through. I also think the fact that Tesla has Optimus creates an easy path for future tie-ups, making it less essential to do the tying up now. Now,

in terms of SpaceX itself, it's kind of gotten clearer and clearer, especially as the demand for tokens has started to so dramatically outstrip the supply,

that kingmaking in AI was in many cases going to be about compute. When Elon

announced the merger of SpaceX and XAI, one of the big things he talked about was his vision of future orbital data centers. I think they are to him much

centers. I think they are to him much more than a market narrative. I think he actually sees it as a key part of the future both of the company SpaceX but also of the world. And in that light,

the fold in of XAI might have been less about giving SpaceX a model in Grock and more about giving SpaceX a footprint in terrestrial compute and supercomputers

that it could then build upon up from the Earth into the sky. The point is, while everyone was talking about the SpaceX XAI tie-up in either very mechanical bailout type terms or seeing

it as SpaceX somehow having a connection to a model like Grock, my argument is that maybe it actually had nothing to do with models and was always about compute positioning. Basically, I think that

positioning. Basically, I think that Elon started to realize that his best path to influencing the shape of this most important industry was being akin to Jensen Hong as opposed to being akin

to Sam and Daario. And if I'm right, and that is the way he started to think about it, there was then literally no question of who he was going to work with. It was anthropic or bust. Hold

with. It was anthropic or bust. Hold

aside the leans right, leans left woke anti-woke politics, I do think that anthropic's extremely disciplined and focused approach. You could argue is

focused approach. You could argue is more aligned with how Elon builds things, at least within the context of specific companies. And secondly, and

specific companies. And secondly, and more importantly, obviously the Sam Alman feud is so deep that Anthropic was the only option. Now, I don't think that Elon is going to abandon Grock

immediately. I think he's going to leave

immediately. I think he's going to leave optionality around Grock. Grock will

remain an option because A X/ Twitter has to have something like this integrated and there are benefits to owning it and b it also gives them more options when it comes to Optimus as

embodied robotics mature. Still, I think that we are seeing a pretty clear and full pivot. As part of this, Elon even

full pivot. As part of this, Elon even tweeted, "XAI will be dissolved as a separate company, so it will just be SpaceX AI, the AI products from SpaceX."

Effectively, I think we're seeing Elon's AI play 3.0. 1.0 was as OpenAI funer.

2.0 was as model builder. 3.0 is as computar. And a lot of people are really

computar. And a lot of people are really bullish on the shift. Roit writes,

"Elon's extraordinary hardware genius shows up again. He fumbled the model but built a Neo cloud that's highly competitive and works great for Frontier Labs. Roit added, "For what it's worth,

Labs. Roit added, "For what it's worth, I pointed this out four years ago that Elon's unique talent is suited better to some things than others. Getting a

Neocloud up and running is a known but hard thing to do. Getting a model to be as good as the Frontier Labs is an unknown and hard thing to do." In that essay Roheit had written, Elon looks at something he wants to accomplish and as

long as existing knowledge is able to create what he wants theoretically acts as an individual shelling point to coales money and talent around to create them. Rohi continued though things that

them. Rohi continued though things that he has not done for which he gets flak are areas which are not purely dependent on doer energy. These are things that require thinkers and some sort of step change in our ability. Alas, we know of

no way to throw resources at one end and get thinkers at the other end. Derek

Thompson wrote, "I don't think I've seen this take before, but I like it. Musk

has been worldleading at compressing money, resources, and time to make known but hard things at scale. But he's less than worldleading at cracking open breakthroughs in more unknown spaces.

So, it would make sense that XAI is lagging the Frontier Labs on new AI agents, but also that he'd have built a Neocloud to power those models once they run short of compute." Dean Ball writes, "I would be very excited about an XAI

SpaceX as an AI infrastructure firm.

Elon's great strength, where he is truly goated, is building things in the real world. Colossus came online faster than

world. Colossus came online faster than anyone expected. Huge asset for America.

anyone expected. Huge asset for America.

As Aaron Levy simply put it, SpaceX as a vertically integrated AI comput makes an insane amount of sense. Now, to the extent that anyone has concerns, it's that consolidation in fewer players in a

market does have real consequences. But

by and large, the ghost of David Ricardo is celebrating as everyone remembers the incredible power of comparative advantage. Kan Vardar writes, "Good

advantage. Kan Vardar writes, "Good thing Elon won't be wasting compute on random dead ends anymore and Anthropic won't be nerfing Claude like it's a hobby." And I think maybe the best

hobby." And I think maybe the best summary of how everyone feels comes from Chubby, who writes, "Okay, Enthropic, show us what you could do with 220,000 Nvidia GPUs and 310 megaww.

Sometimes everyone talks about things because they're interesting, juicy, tabloid style things to talk about. And

unfortunately, a lot of the discourse around Elon Musk can fall into that category. This is not one of those. This

category. This is not one of those. This

is a massive deal that has the potential to significantly reshape the face of the AI battle. So, what happens next? Will

AI battle. So, what happens next? Will

OpenAI respond with their own deal? Will

Mark Zuckerberg swoop in as another Elon style compute capacity kingmaker? No one

knows for sure, but boy oh boy, there is never a dull day in AI land. For now,

that is going to do it for the AI daily brief. I appreciate you listening or

brief. I appreciate you listening or watching as always and until next time, peace.