Not trying to hate, but what’s the point of a touchscreen on a Mac?
You can’t really do anything with it, and the trackpad already does everything way better.
Who asked for this?
Bring back the Touch Bar instead, we need it for the vibe coding era
Don’t buy a Kimi subscription, at least not yet.
The usage limits are terrible right now. Looks like the hype caught them off guard and they don’t have the compute to keep up.
You could wait a few days for things to settle, but by then Fable 5.5 will probably be out. So just skip this one lmao
Replacing ChatGPT or Claude with Kimi K3? Read this first.
Here’s how the coding plans are advertised:
ChatGPT / Claude
$100 → 5x
$200 → 20x
Kimi Code
$19 → 1x
$39 → 5x
$99 → 15x
$199 → 30x
Kimi looks much cheaper at first, but these multipliers use completely different baselines.
Kimi also doesn’t disclose the actual token pool, so its 15x does not mean 3x more usage than a 5x plan elsewhere.
The only fair comparison is between Kimi’s own plans. The $99 tier gives around 2.9x more Code quota per dollar than the $19 tier. The $199 plan offers almost the same value, just with a higher limit.
Personally, I’d keep the $100-$200 Codex subscription as my main one, then add Kimi for $39 or $99 for frontend work and the occasional task where K3 performs better. (don't forget that Kimi K3 is also very slow model)
None of the cross-provider numbers are confirmed. OpenAI of course still definitely subsidizes much more raw inference per subscription.
Kimi looks like a great second subscription. I just wouldn’t move everything there blindly.
What's your thoughts?
Mark Zuckerberg is a genius:
>launch a Contributor tier that's 95% cheaper
>get developers to share their prompts, code, and outputs
>build a massive pipeline of real-world training data
>release Muse Wonder Full, beating Opus 5.5 and Astra
Meta basically got developers to pay them for training data
WE USED TO PRAY FOR TIMES LIKE THIS
Google is so fucking back.
Gemini 4 Argon. Potentially the best model in the world.
Insane launch.
Invested $10K into the $JUMP ICO.
Been using @jumperapp pretty often for bridging, so I already knew the product before the sale.
The only thing I wanted to figure out was whether the token sale itself made sense.
> $41B+ lifetime volume
> 100K monthly active users
> $75M FDV
> $3M hard cap
> 50% unlocked at TGE, remaining 50% over 4 months
> Team and investors fully locked at TGE
They’ve also expanded beyond bridging with Earn and Portfolio.
$75M FDV for a product with this much existing usage looked interesting enough for me to take the bet.
Applications close in 2 days, good luck!
Link: app.legion.cc/app/invest
OpenAI just killed Claude Haiku 5.5 and Sonnet 5.5 with this launch
It's not about Opus 5.5 being better anymore
6.1 Astra will mog everything. Just wait for it :)
red 📌 retweeted
Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.
GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.
We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
These AI “gurus” get one prediction right and suddenly they’re insiders
Dan made one correct call, gained people’s trust, and now claims Opus 5.5 was delayed today because Grok 4.7 launched
Lmao. Getting one thing right doesn’t make every new claim credible
Never trade on their so-called “predictions”
WTF
You’re telling me this new Qwen image model is on par with frontier closed models?
And it’s only 7B parameters? 🤯
Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨
A unified model for both generation and editing, delivering top-tier quality in a lightweight package.
Highlights: 👀
- Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs.
- Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images.
- Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products.
- Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography.
Start to create your next masterpiece with Qwen-Image-2.1! 🖼️
- Blog: qwen.ai/blog?id=qwen-image-2…
- GitHub: github.com/QwenLM/Qwen-Image…
- Model Scope: modelscope.cn/models/Qwen/Qw…
- Hugging Face: huggingface.co/Qwen/Qwen-Ima…
AI safety might have a referee problem.
Kevin Bass traced the money around Anthropic, METR and the wider AI safety ecosystem, and the overlap is hard to ignore.
Dario Amodei, Anthropic’s CEO, wants independent evaluators like METR helping police frontier labs.
But Dustin Moskovitz was an early Anthropic investor, later donated his Anthropic stake into a nonprofit vehicle, and his broader philanthropy funds organizations across the same AI safety and policy world.
Coefficient Giving also funds Tarbell, whose fellows publish AI coverage in major outlets.
To be clear, this does not prove Anthropic controls METR or the press. METR says it takes no money from AI labs, and Tarbell says donors have no editorial control.
But when the same relatively small funding network keeps appearing around the labs, evaluators, safety groups and journalism shaping AI policy, it deserves scrutiny.
That’s basically the TLDR of Kevin Bass’s research.
I have conducted an audit of Anthropic's finances.
What I have found is so shocking that I am calling for a Congressional investigation.
Anthropic is not just seeking regulatory capture.
It has built a regulatory capture machine that cannot be turned off.
Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.
It starts with METR.
Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.
He proposes METR for this purpose.
But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.
Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.
And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.
This stock was worth $500 million early last year.
It is worth more than $7.7 billion just ~16 months later.
METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.
Because if Anthropic goes under, many of the organizations that fund METR go under as well.
But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.
The "third-party evaluator" is not "third-party" at all.
The evaluator is on Anthropic's payroll.
If this were the end of it, that's bad.
But that isn't all.
The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.
The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.
They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.
All of these organizations are financially dependent on the same exploding $7 billion money pile.
As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.
Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.
From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.
This itself is an objective fact.
The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.
But the problem also goes in the other direction:
If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.
Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.
Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.
They simply are not organizations independent of Anthropic.
And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.
What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.
The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.
And that feedback loop is winning.
That's what Jacob Coxon is.
China is keeping messaging tight. That is why optimism for AI is so high in China.
America has Anthropic: a massive company pushing anti-AI propaganda at a state level.
Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.
Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.
It is the mirror of the same AI virus that it hypothesizes to consume America.
Anthropic's business model, models itself after the very thing it claims to fear.
Except Anthropic's ideology infects humans, not computers.
Congress must investigate.
Evidence and Github in next post.
Then some supplementary figures.
Trump just said HE is the only AI guardrail we need.
Apparently, a “STRONG AND SMART (High IQ!) PRESIDENT” is enough to keep this technology under control.
This comes after Dario Amodei called for slower AI development, with both Elon Musk and Sam Altman backing his proposal.
Trump’s response is to call out Dario by name, describe a “SICK conspiracy” against AI, and remind the companies how much criminal and regulatory power his administration has.
He ends by telling “Traitors” and “Leakers” to “BEWARE.”
I don’t buy every doomsday prediction from AI labs either, but a president’s confidence in his own IQ is not a fucking safety plan.
