@Cointelegraph Calling safety guardrails a supply chain risk is a very telling way to frame what they actually want from an AI model
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AI Mastery Guide
12.8K posts
AI Mastery Guide
@aiseomastery
50+ FREE AI TOOLS AND 200+ ChatGPT SEO Prompts 👉🏻 https://t.co/5ABo5yhGlw
Manchester, UK Katılım Kasım 2024
24 Takip Edilen1.9K Takipçiler
🇺🇸 JUST IN: The Pentagon is testing rival AI models to replace Anthropic's Claude, after labeling the company a supply-chain risk over its AI safety guardrails.
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@shengzheyao The sandbox permission control is the update I was waiting for, how granular does it get?
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Antigravity CLI 1.0.1 is out.
Key updates:
- Fixed OAuth not persisting in some environments.
- Enhanced the visual experience on Windows.
- Added the new "proceed in sandbox" permission control.
Restart agy to auto update or run “agy update".
See the full changelog for details:
github.com/google-antigra…
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@XFreeze Grok in OpenCode means the coding agent war just got more crowded 🔥
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Grok is now expanding to OpenCode
You can now use your SuperGrok or 𝕏 Premium subscription inside OpenCode
xAI@xai
You can now use your @grok or X Premium subscription in @opencode. Use the model powering Grok Build for high speed and codebase intelligence. x.ai/news/grok-open…
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@OfficialLoganK Flash closing the gap on Pro is a big deal for pricing across the whole industry 🔥
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Gemini 3.5 Flash has made huge progress from 3.1 Pro on GDPval, Flash is competing at the frontier, post training going strong :)
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@levie We went from AI being cheap to AI being essential and expensive faster than anyone budgeted for
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What’s happened is that we went from AI chat tools that were relatively cheap and had small context windows, to AI agents that have giant context windows, the ability to keep track of longer running work, and models that cost an order of magnitude more on inference because they’re that much better.
This has compounded far faster than most realized (unless you were paying close attention at the middle or end of last year, which many here were), and the dollars flowing in now are much more real.
What follows is a continued march of AI capability that will continue to be used by anyone with a frontier use-case (like coding, sciences, finance, consulting) and then a peeling off of tasks to lower cost models that are capable enough for the job. Whereas we thought the cost of AI might converge on a single low price per token before, it’s clear the stratification is only widening based on the task you need performed.
This will be yet another component that has to be figured out for broad AI diffusion. Enterprises will need to put in programs, new finance teams, and technology solutions to manage this all. The labs and platforms that can ensure customers can price optimize for the task at hand will be in the best position.
Hedgie@HedgieMarkets
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗
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@om_patel5 Solved his own problem, impressed management, got promoted. No startup needed, this is the move 🔥
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THIS GUY GOT AN IT POSITION THANKS TO CLAUDE
he was working in an office where most of the tasks were repetitive and could easily be automated
so he and claude built a python app in 2 days that automates most of his workflow
he asked his bosses for permission to use it on his machine. they saw the final product and now they want it installed on every computer in the office
they asked him to develop more solutions
he went from office worker to the guy building internal tools for the entire company
he's not even a developer, but he studied computer science in high school and could program in C++ and php years ago
(he forgot everything except the basics)
claude filled in the gaps and turned basic programming knowledge into a working product that impressed his ENTIRE management team
you don't need to build a startup. you don't need to launch the next big thing. sometimes you just need to solve a problem that you personally have and let the results speak for themselves
THIS is how you get promoted in 2026
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@seelffff Rubik's cube tutorials to co-founding OpenAI to joining Anthropic, the career arc is genuinely unreal 🔥
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> be andrej karpathy
> born in slovakia. move to canada at 15.
> start coding at 15. instantly obsessed.
> become youtube famous... for rubik's cube tutorials.
> get a phd at stanford under fei-fei li
> co-found this tiny startup called openai
> elon calls you "arguably #2 in computer vision in the world"
> build tesla autopilot for 5 years. then leave.
> coin the term "vibe coding" in one tweet. it ends up in the new york times.
> 9.3M people watch your every move.
today he joined anthropic to lead pretraining research.
the man never stops.
self.dll@seelffff
karpathy's CLAUDE.md hit #1 on github trending. 220,000 stars. most devs still haven't read it. it's 65 lines. it took AI coding accuracy from 65% to 94%. the 4 rules inside: → think before coding state your assumptions. ask when unsure. never guess. → simplicity first write the minimum code that solves the problem. no abstractions nobody asked for. → surgical changes don't touch code unrelated to the request. every changed line must trace back to what was asked. → goal-driven execution turn vague instructions into verifiable success criteria before writing a single line. that's it. 65 lines. 4 rules. 94% accuracy. save this before everyone else does.
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@KanikaBK Every filmmaker with a story but no budget just bookmarked this 🔥
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Hong Kong University just released a FREE AI TOOL that turns a one-line idea into a full short film. No editing required. 100% OPEN SOURCE.
It's called ViMax
You type a prompt. Or paste a novel. It does the rest.
Director. Screenwriter. Producer. Video generator. One system. One input.
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@Pirat_Nation Using AI for testing and repetitive tasks while keeping humans on creative output is actually the smart middle ground
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Capcom has stated that generative AI “still cannot match” the skill of human developers behind major franchises such as Resident Evil and Monster Hunter.
In a recent update, the company emphasized its commitment to human creativity for game content, confirming: “We will not implement assets generated by AI into our games.”
Instead, Capcom plans to use AI as a supportive tool to boost efficiency and productivity, particularly in testing and repetitive development tasks that do not involve final creative output.
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@MarioNawfal Real time trend matching over follower count is how brand deals should have always worked
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𝕏 just turned creator-brand matchmaking into an AI problem.
Creator Connect uses xAI to pair campaigns with creators based on real-time trends, audience alignment, and content fit.
Which means brands might finally stop choosing creators the same way people pick Netflix movies:
randomly and with regret.
Smaller creators are about to get way more visibility, too.
@X @xai
Elon Musk@elonmusk
𝕏
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@GoogleDesign Full innovation moving to Compose means the gap between old and new codebases widens fast
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Build premium, adaptive apps faster than ever. 🚀 We’re officially going "all in" on Jetpack Compose!
While Material Views 1.14 is our final stable release for Views, we’re moving all our innovation to the Jetpack Compose library.
Tune into our I/O session to learn how we're supporting a more streamlined development experience → goo.gle/4dSUH1v
#JetpackCompose #MaterialDesign #AndroidUX #GoogleIO
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@CodeByPoonam Rebuilt Blender from scratch for AI, open source and free is a very bold opening move 🔥
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3D artists who ignore AI tools right now are making the same mistake photographers made in 2010.
Photographers laughed at Instagram filters.
Then Instagram replaced their clients.
Mixar just forked Blender and rebuilt it from scratch for AI.
Modeling. Texturing. Rendering. Full pipeline.
Powered by Claude Opus 4.7. Open source. Free.
This is not a plugin. This is a new category.
Mixar@mixie3D
@AnthropicAI just plugged Claude into Blender. Cute. We rebuilt Blender. It’s open source now.
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@EdenKollcinaku @antigravity Antigravity updating itself inside VS Code is very on brand honestly 😭
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@nextgenos2026 Unproven OS at premium price with no long term support guarantee is exactly how Pixelbook went wrong
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Google's new Googlebook laptops risk repeating the Pixelbook's failure: they launch with an unproven Aluminium OS, lean heavily on Gemini Al, and face consumer skepticism about paying premium prices without long-term support or assurance that essential software will run smoothly.
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@NewsFromGoogle @SamsungMobile Gentle Monster and Warby Parker is a smart move, actually glasses people would want to wear
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At #GoogleIO, we shared a sneak peek of our upcoming audio glasses with Gemini. Designed for style and all-day comfort, they deliver hands-free help in the moment so you can stay heads-up and engaged with the world around you.
We’re partnering with @SamsungMobile, @_GentleMonster_, and @WarbyParker to bring these to life.
Here is what you can expect ⬇️
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@aimlapi 35+ hours of autonomous execution is the number that stands out, how does it hold up on complex multi step tasks?
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@fofrAI Text rendering in AI video finally working right is a bigger deal than it looks 🔥
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Omni is really good at text, dang.
Nick Matarese@nmatares
Was super impressed at text handling here with #GeminiOmni inside @FlowbyGoogle "add a serif font at center like a title that says Flow. it appears at 00:01 and fades out at 00:05. Lets add a logo to the tennis balls in dark green that say Omni"
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@kimmonismus 1000x faster at 1/100th the power is incredible but 2030 prototype means we hit the energy wall first
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University of Tokyo built a chip component that processes data 1000x faster than conventional methods - without generating extra heat.
The real number worth paying attention to: power consumption drops to 1/100th of current levels. A Google-scale data center that today powers 80,000 homes could theoretically run on the energy of 800.
But the prototype chip isn't scheduled until 2030, and commercial availability is years beyond that. We're watching the AI industry sprint toward an energy wall at full speed while the most promising efficiency breakthroughs are still a decade from production. via techradar
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@cryptopunk7213 Spending 500% over budget and still not canceling says everything about how sticky Claude Code actually is
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demand for claude code is insatiable and has led to customers spending up to 500% more than they originally budgeted:
> anthropic CFO recently said 9/10 fortune 10 customers end up spending 500% over annual claude code budgets because the product is that good.
> i’ve noted multiple labs shift to usage-based pricing from flat plans as demands soared.
it’s not coincidental that spaceX signed 2 major compute deals with anthropic in < 7 days
Hedgie@HedgieMarkets
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗
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@theinformation How much of that OpenAI lead is just ChatGPT name recognition at this point?
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Exclusive: OpenAI generated about $5.7 billion in revenue in the first quarter, nearly $1 billion more than archrival Anthropic generated in the same period.
More details: thein.fo/4f10dAi
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