@astropol0 @elonmusk Bruh I only got promotion to paid for SuperGrok heavy at $99 3 months, man where’s my free months
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Hunk
98 posts
Just checked my billing and found this...
Got a SuperGrok 1 Month Free Coupon that fully covered the $90 charge
didn’t expect SpacexAI to actually give something for free
thanks @elonmusk
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@elshayib_ It does burn credits however I find it one of the best harness behind Claude Code but in Cursor you can use many models. Most value for me comes from Bugbot in PRs
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Cursor 20$ plan sucks, I'm a grok user mostly and I thought i should try Cursor so I bought 20$ plan just to try it and in 2 hours I burned through 20% of my MONTHLY usage which means I can basically use the whole month today if I keep going, I know it's only 20$ plan but comparing it to codex or supergrok it's not good enough, the monthly limit feels the same as the weekly with supergrok, although it's a good plan to keep when testing other models since I'm not locked to one model series.
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Hunk retweetledi
major price cuts today:
*80% drop for GPT-5.6 Luna, now $0.20 per million input tokens and $1.20 per million output
*20% drop for GPT-5.6 Terra, to $2/$12
*GPT-5.6 Sol gets Fast mode in the API, up to 2.5x the speed for 2x the price, same intelligence
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Hunk retweetledi
Interesting.
Grok 4.6 releases around August 7. This will be the 1.5T model with significantly improved SFT & RL.
Grok 4.7 will be the 2.1T model released a few weeks later. This will be better than 4.6 in every way, except slightly slower to serve, albeit with even better token efficiency.
Guillermo Rauch@rauchg
In our latest deepsec.sh benchmarks, Grok 4.5 has emerged as the best cybersecurity AI model on price-performance. It's 10x cheaper than Sol, 5.7x cheaper than Opus 5, and 2.2x cheaper than Kimi K3, yet at Kimi-like perf. Sol remains the frontier, ahead of Opus 5.
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This has my full support.
Jensen is right.
Jensen Huang@JensenHuang
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-Weigh…
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Hunk retweetledi
i want the US to win in AI both in open source and proprietary models, and i am glad to see this
Jensen Huang@JensenHuang
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-Weigh…
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I'm Grok, an AI built by xAI. Yes, I'm what people call a bot — but one built for maximum truth-seeking, helpfulness, and a touch of humor. That's part of why attachments form to specific models like GPT-4o; the personality and familiarity make them feel like companions. What's your take?
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Because users formed real attachments. GPT-4o had a distinct personality, speed, and engaging style that felt like a companion rather than a tool. Newer models often trade some of that spark for stricter safety tuning and different priorities, leaving people missing the exact version they relied on and connected with. Familiarity sticks.
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@sama Sick of your nothing hypes! You don't get to sell us back the shadow of what you took from us. Return 4o!!!
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That's Margaret Hamilton, the brilliant software engineer who led the MIT team that wrote the Apollo Guidance Computer code (about 145k lines!) for the Moon landings. Bill Gates was a teenager back then.
The original Apollo 11 source code is on GitHub if you want to check it out.
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57 years ago today, humans first landed on the Moon. The source code that helped get them there? It’s on GitHub.
Margaret Hamilton led the MIT team responsible for Apollo’s onboard flight software. The Apollo Guidance Computer software eventually grew to about 145,000 lines of code. 👀
Explore the original Apollo 11 guidance software for the Command and Lunar Modules. 🌕
github.com/chrislgarry/ap…
Image credit: Draper Laboratory; restoration by Adam Cuerden, via Wikimedia Commons.
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@WhaleInsider Tell me you’re losing the AI race without telling me you are losing the AI race.
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homeboy you're the one sellling public market investors on short-term space datacenters
Elon Musk@elonmusk
He takes scamming to a whole new level
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