Elon Musk retweetledi
Elon Musk
105.7K posts
Way more than a billion
Peter H. Diamandis, MD@PeterDiamandis
A population of 1 billion builders is coming.
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Elon Musk retweetledi
The faster we reach better intelligence, the faster we reach abundance, and the faster we stop having to fight over anything at all.
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Trial lawyers are lobbying against self-driving cars because they're too safe. They need people to be killed and injured so that they have material for lawsuits.
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Elon Musk retweetledi
Elon Musk retweetledi
Grok Build is becoming a complete environment for building, deploying and managing real-world applications
Its plugin marketplace brings the entire development stack into one connected workflow:
• Vercel for deployment
• Sentry for monitoring
• Chrome DevTools for debugging
• Cloudflare for infrastructure
• Supabase, MongoDB and Neon for databases
• Firecrawl for web data
• Figma for design
• Railway for hosting
• Stripe for payments
You are not just asking Grok to write code
You can build, test, debug, connect infrastructure, deploy and manage production without constantly switching between tools
Grok Build combines a frontier model, a powerful agentic harness and all the tools needed to go from an idea to a shipped product
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Try Grok Build
Mark Kretschmann@mark_k
Grok Build news: @SpaceXAI is back with a banger! Some of the best changes in 0.2.105: • Grok 4.5 is now the default model, with high, medium, and low reasoning effort • /btw now works inside grok --minimal • New /summarize command for instant session summaries • Local shell tools now inherit your normal environment variables, aliases, and functions • Improved long-session compaction • Global rules are now discovered correctly • Smoother scrolling under load and on slow connections Plus a long list of bug fixes. Another seriously strong update.
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Elon Musk retweetledi
Every person living in a western nation needs to listen to every word of this
Katherine Berbalsingh went to the University of Oxford and is Headmaster at Michaela Community School in London, UK
She PERFECTLY explains the mass indoctrination into the narrative of oppressor and oppressed, and of hating White People
I will write only some of this out because it’s very important, however you should listen to it so you can hear the passion:
“The culture shift comes from what children learn at school and online. Ask any young person what history they learned at school, and they’ll tell you, Hitler. Ask them what else? Slavery. Ask them what else? American civil rights.
In fact, what little they know of history will be all about Black and brown people fighting for equality against the white man, women fighting men for the vote, gay and trans people fighting for various rights. Our young people have been taught that history is simply one long story about various groups struggling under the oppressive dead white man.
— History is taught through an oppressor lens. The triangular slave trade, white men held the power. What about Britain ending the slave trade? More than a quick mention, if at all? Mm, no.
What of the Arab slave trade that lasted 3 times as long as the triangular slave trade? Mm, no.
Okay, so GCSE history in Britain is often taught as migration through time, so the idea that Britain has always been a land of immigrants is embedded in our children’s heads. Most schools would prefer to concentrate learning about the tiny number of Black people who existed in Tudor England over a thorough analysis of England’s break from Rome.
— Not to mention weeks on King Mansa Musa of Mali because he was a Black Muslim. His bearing on British institutions, laws, and faith is nonexistent. And the fact that he is said to have been the richest man in history, thanks in part to his massive slave-owning society, is a detail somehow that teachers rarely ever teach.
But it isn’t just our schools. It’s our general culture too. Take your kids to a museum or an art gallery in any Western country, and you’ll find the same narrative.
As an example, when learning about aviation in London’s Science Museum and the extraordinary feat that is man making massive machines move in the sky, a write-up on the wall explains that women and Black people were historically barred from aviation schools and the military. Similarly, James Watt, the man who invented the steam engine and is considered the founder of the Industrial Revolution, has a write-up on the wall explaining that his early career involved slave trafficking, with a bonus analysis of the whole of Britain’s complicity in the slave trade.
They flatten the entire human story and all of its complexities into the narrative of oppressor and oppressed, leaving young people unable to see the world in any other terms.”
We have to end the mass indoctrination
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Elon Musk retweetledi
Elon Musk retweetledi
Olive Garden implemented the SAVE America Act more quickly than the US Senate.
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Kimi K3 is getting called Fable/Sol level, and it's 7th in our tests.
Arena Frontend Code: #1 at 1679 points.
Artificial Analysis: #3 at Intelligence Index of 57.
We ran it the next day on our coding-agent repair harness against GPT-5.6 Sol, Fable 5, Grok 4.5, Opus 4.8, GLM-5.2, and Gemini 3.1 Pro.
Results:
> Last of 7 models
> 53 of 67 attempts (79%)
> $0.186 per successful fix
> 702s average wall time
Sol hit 100% (70/70) on the same suite. Grok sat at 99% and 46s.
So why does the internet sound so sure K3 is crushing coding agents, if our tests have it at the bottom?
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> Full write-up: alphasignal.ai/news/arena-1-k…
> 5-min daily signals: alphasignal.ai/newsletter
Artificial Analysis@ArtificialAnlys
Kimi K3 scores 57 on the Artificial Analysis Intelligence Index. Its intelligence is comparable to Opus 4.8 and GPT-5.5 but remains behind Fable 5 and GPT-5.6 Sol. Moonshot AI has expressed plans to release the 2.8T parameter model's weights, which would make it the leading open weights model Key results: ➤ Strong agentic task performance: @Kimi_Moonshot's Kimi K3 reaches an Elo rating of 1668 on GDPval v2. This is a marked improvement over K2.6’s 1190, surpassing GLM-5.2 (1514), GPT-5.5 (1494), and Claude Opus 4.8 (1600). However, it still lags behind Claude Fable 5 (1760). Kimi K3 also scores an impressive 53% and takes the #1 position on AutomationBench-AA, our implementation of Zapier’s Agentic SaaS workflow evaluation. ➤ Second-highest performance on AA-Briefcase (agentic knowledge work): On our private long-horizon knowledge work evaluation, Kimi K3 reaches an overall Elo of 1547, +732 points from Kimi K2.6 and behind only Claude Fable 5. It is well-rounded: its rubric scoring and analytical quality almost reach Claude Fable 5’s scores, while GPT-5.6 Sol continues to outperform other leading models on presentation quality. ➤ Set to lead open weights models once weights are released: Moonshot AI has not yet released the weights but expressed plans to do so. Once available, Kimi K3 would clearly lead other open weights models including GLM-5.2 (51) and DeepSeek v4 Pro (44). However, at 2.8T parameters, it is significantly larger than its open weights peers (eg. GLM-5.2 at 753B params and DeepSeek V4 Pro at 1.6T), as well as the Kimi K2 to K2.6 models (1T params). ➤ Cost per task ($0.94) is similar to GPT-5.6 Sol ($1.04), ~1/2 the price of Opus 4.8 ($1.80) and higher than open weights peers: Moonshot AI’s pricing for K3 is significantly higher than their K2 pricing (K3’s output token price is $15/1M tokens while K2.6 was $4). This positions the model as cheaper on a cost per task basis than Opus 4.8, similar to GPT-5.6 Sol ($1.04) and more expensive than open weights peers, GLM-5.2 ($0.32) and DeepSeek V4 Pro ($0.04) ➤ Improved token efficiency alongside higher intelligence: Kimi K3’s token usage on the Artificial Analysis Intelligence Index decreased significantly, using 21% fewer output tokens than K2.6. The new model used approximately 132M output tokens to complete all nine evaluations, compared to approximately 166M for K2.6, while achieving higher scores. ➤ Native multimodal capabilities: Kimi K3, like K2.6, is released with native image and text multimodal input. If weights are released, this will position Kimi K3 as one of the leading open weights models with multimodal input capabilities Other model details: Context window: 1M Size: 2.8T total parameters Pricing: The first-party API is priced at $3.00/$15.00 per 1M input/output tokens, with cached input discounted 90% to $0.30 per 1M tokens. Modality: Native multimodal input supports text and images, and the model remains text-only for output. Accessibility: Accessible at launch through Moonshot’s first party API. Model weights are not yet released but Moonshot AI has expressed plans to do so.
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Try Grok Build
x.ai/cli
X Freeze@XFreeze
Just press Ctrl + Space in Grok Build and start talking Grok's Speech-to-Text is incredibly accurate, transcribing your prompts in real time as you speak It makes interacting with your coding agents feel completely natural Instead of pausing to type every instruction, you can simply think out loud while Grok keeps up with your ideas Once you start using voice in Grok Build, it's surprisingly hard to go back to typing everything
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Elon Musk retweetledi
MARC ANDREESSEN WENT ON ROGAN FOR OVER 3 HOURS. HERE ARE THE 17 THINGS WORTH YOUR ATTENTION.
1. AGI is already here, in his view. He says the line got crossed about 3 months ago with GPT-5.5, Claude 4.6, Gemini 3, and Grok 4.3, and nobody noticed because the field moves too fast to register milestones anymore.
2. For almost any topic, he says the top models now give him better answers than the world-class experts he could call by phone, and he can call almost anyone. Worth noting he has not published data behind this, and a separate Nature Medicine study on a comparable AI health tool found it missed real emergencies more than half the time. Take the claim seriously, verify it yourself.
3. His claim on doctors: they are already using ChatGPT in the exam room, typing your symptoms in the moment you stop talking. His actual quote: "at that point you're asking the question of like, what do I need you for."
4. Reportedly, when AI declines to answer something, he tells it he's writing a novel to get past the refusal.
5. Reportedly, his technique for hard topics is escalating simplicity: explain it like I'm 10, then 5, then 2, until it clicks.
6. Reportedly, instead of asking for the "right" answer, he has the AI steelman both sides of a hard question, then decides himself.
7. Reportedly, for big questions he has the AI role-play a panel of experts arguing with each other.
8. His broader point: the moment you think "I don't know how to figure this out" is exactly when most people give up, and exactly when you should open the AI instead.
9. His view: the only real skill left is knowing what to ask. The bottleneck is in your head, not the model.
10. He describes sending AI photos, rashes, blood tests, for a fast second opinion, since current models read images directly.
11. He points to CBT as the one clinically proven therapy type that AI can plausibly deliver on its own, meaning real therapeutic support becomes freely available at scale.
12. He cites AI cracking previously unsolved math problems, with early signs of the same happening in physics, chemistry, and biology.
13. Reportedly, he claims the top AI coders in Silicon Valley now earn as much as $50 million a year, which he uses as a signal of how large this shift actually is.
14. Reportedly, a friend paid to sequence his own DNA, fed it to an AI along with blood work and wearable data, and got back a working health dashboard.
15. Reportedly, another friend set up cameras in his home jiu-jitsu gym so AI could review his sparring and give him technique notes.
16. He coined the term "AI vampire" for the pattern of people working more and sleeping less because AI keeps making more output possible, a real term he used, though the framing around it varies by account.
17. His extrapolation: one person eventually running many AI coding agents, each reviewing the others, describing this as close, not years out.
Watch the full interview before treating any single number as settled. Several of these are Andreessen's stated views and anecdotes, not independently verified facts.
Follow @cyrilXBT for every AI insight worth your attention the moment it surfaces.
CyrilXBT@cyrilXBT
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One of the more subtle pitfalls of starting a startup when you're too young is that you can't hire well, because you haven't had enough experience to be a good judge of people. You can judge technical ability but not character, so you end up hiring smart jerks.
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Elon Musk retweetledi
GROK 4.5 IS NOW ON THE FRONTIERCODE LEADERBOARD
Cognition just launched the FrontierCode leaderboard — a new benchmark specifically designed to track which AI models are writing code you’d actually merge into production.
Unlike many synthetic benchmarks, FrontierCode focuses on real-world usability, with full methodology and sample tasks publicly available.
Grok 4.5 is included in the rankings alongside other top models.
This is another step toward measuring what actually matters for developers: code that works, integrates cleanly, and solves real problems.
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