I was given early access to Grok 3 earlier today, making me I think one of the first few who could run a quick vibe check.
Thinking
โ First, Grok 3 clearly has an around state of the art thinking model ("Think" button) and did great out of the box on my Settler's of Catan question:
"Create a board game webpage showing a hex grid, just like in the game Settlers of Catan. Each hex grid is numbered from 1..N, where N is the total number of hex tiles. Make it generic, so one can change the number of "rings" using a slider. For example in Catan the radius is 3 hexes. Single html page please."
Few models get this right reliably. The top OpenAI thinking models (e.g. o1-pro, at $200/month) get it too, but all of DeepSeek-R1, Gemini 2.0 Flash Thinking, and Claude do not.
โ It did not solve my "Emoji mystery" question where I give a smiling face with an attached message hidden inside Unicode variation selectors, even when I give a strong hint on how to decode it in the form of Rust code. The most progress I've seen is from DeepSeek-R1 which once partially decoded the message.
โ It solved a few tic tac toe boards I gave it with a pretty nice/clean chain of thought (many SOTA models often fail these!). So I upped the difficulty and asked it to generate 3 "tricky" tic tac toe boards, which it failed on (generating nonsense boards / text), but then so did o1 pro.
โ I uploaded GPT-2 paper. I asked a bunch of simple lookup questions, all worked great. Then asked to estimate the number of training flops it took to train GPT-2, with no searching. This is tricky because the number of tokens is not spelled out so it has to be partially estimated and partially calculated, stressing all of lookup, knowledge, and math. One example is 40GB of text ~= 40B characters ~= 40B bytes (assume ASCII) ~= 10B tokens (assume ~4 bytes/tok), at ~10 epochs ~= 100B token training run, at 1.5B params and with 2+4=6 flops/param/token, this is 100e9 X 1.5e9 X 6 ~= 1e21 FLOPs. Both Grok 3 and 4o fail this task, but Grok 3 with Thinking solves it great, while o1 pro (GPT thinking model) fails.
I like that the model *will* attempt to solve the Riemann hypothesis when asked to, similar to DeepSeek-R1 but unlike many other models that give up instantly (o1-pro, Claude, Gemini 2.0 Flash Thinking) and simply say that it is a great unsolved problem. I had to stop it eventually because I felt a bit bad for it, but it showed courage and who knows, maybe one day...
The impression overall I got here is that this is somewhere around o1-pro capability, and ahead of DeepSeek-R1, though of course we need actual, real evaluations to look at.
DeepSearch
Very neat offering that seems to combine something along the lines of what OpenAI / Perplexity call "Deep Research", together with thinking. Except instead of "Deep Research" it is "Deep Search" (sigh). Can produce high quality responses to various researchy / lookupy questions you could imagine have answers in article on the internet, e.g. a few I tried, which I stole from my recent search history on Perplexity, along with how it went:
- โ "What's up with the upcoming Apple Launch? Any rumors?"
- โ "Why is Palantir stock surging recently?"
- โ "White Lotus 3 where was it filmed and is it the same team as Seasons 1 and 2?"
- โ "What toothpaste does Bryan Johnson use?"
- โ "Singles Inferno Season 4 cast where are they now?"
- โ "What speech to text program has Simon Willison mentioned he's using?"
โ I did find some sharp edges here. E.g. the model doesn't seem to like to reference X as a source by default, though you can explicitly ask it to. A few times I caught it hallucinating URLs that don't exist. A few times it said factual things that I think are incorrect and it didn't provide a citation for it (it probably doesn't exist). E.g. it told me that "Kim Jeong-su is still dating Kim Min-seol" of Singles Inferno Season 4, which surely is totally off, right? And when I asked it to create a report on the major LLM labs and their amount of total funding and estimate of employee count, it listed 12 major labs but not itself (xAI).
The impression I get of DeepSearch is that it's approximately around Perplexity DeepResearch offering (which is great!), but not yet at the level of OpenAI's recently released "Deep Research", which still feels more thorough and reliable (though still nowhere perfect, e.g. it, too, quite incorrectly excludes xAI as a "major LLM labs" when I tried with it...).
Random LLM "gotcha"s
I tried a few more fun / random LLM gotcha queries I like to try now and then. Gotchas are queries that specifically on the easy side for humans but on the hard side for LLMs, so I was curious which of them Grok 3 makes progress on.
โ Grok 3 knows there are 3 "r" in "strawberry", but then it also told me there are only 3 "L" in LOLLAPALOOZA. Turning on Thinking solves this.
โ Grok 3 told me 9.11 > 9.9. (common with other LLMs too), but again, turning on Thinking solves it.
โ Few simple puzzles worked ok even without thinking, e.g. *"Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?"*. E.g. GPT4o says 2 (incorrectly).
โ Sadly the model's sense of humor does not appear to be obviously improved. This is a common LLM issue with humor capability and general mode collapse, famously, e.g. 90% of 1,008 outputs asking ChatGPT for joke were repetitions of the same 25 jokesโ. Even when prompted in more detail away from simple pun territory (e.g. give me a standup), I'm not sure that it is state of the art humor. Example generated joke: "*Why did the chicken join a band? Because it had the drumsticks and wanted to be a cluck-star!*". In quick testing, thinking did not help, possibly it made it a bit worse.
โ Model still appears to be just a bit too overly sensitive to "complex ethical issues", e.g. generated a 1 page essay basically refusing to answer whether it might be ethically justifiable to misgender someone if it meant saving 1 million people from dying.
โ Simon Willison's "*Generate an SVG of a pelican riding a bicycle*". It stresses the LLMs ability to lay out many elements on a 2D grid, which is very difficult because the LLMs can't "see" like people do, so it's arranging things in the dark, in text. Marking as fail because these pelicans are qutie good but, but still a bit broken (see image and comparisons). Claude's are best, but imo I suspect they specifically targeted SVG capability during training.
Summary. As far as a quick vibe check over ~2 hours this morning, Grok 3 + Thinking feels somewhere around the state of the art territory of OpenAI's strongest models (o1-pro, $200/month), and slightly better than DeepSeek-R1 and Gemini 2.0 Flash Thinking. Which is quite incredible considering that the team started from scratch ~1 year ago, this timescale to state of the art territory is unprecedented. Do also keep in mind the caveats - the models are stochastic and may give slightly different answers each time, and it is very early, so we'll have to wait for a lot more evaluations over a period of the next few days/weeks. The early LM arena results look quite encouraging indeed. For now, big congrats to the xAI team, they clearly have huge velocity and momentum and I am excited to add Grok 3 to my "LLM council" and hear what it thinks going forward.
What's cool: Unlike general AI tools, it actually understands DevOps context and dependencies between config files. Perfect for teams looking to optimize cloud costs and streamline workflows!
Worth checking out if you're in the #DevOps space! ๐
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This tool is solving major cloud infrastructure headaches with:
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@OpenAI has taken search to the next level! We're now in the age of intelligent search, where the overwhelming amount of daily information can be compressed and presented exactly how you want to understand it. The future of information discovery is here! ๐ #AI#Innovation
Transform your app ideas into reality in days, not weeks. https://t.co/Qr7liesNb6 delivers:
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Today we are launching our next agent capable of doing work for you independentlyโdeep research.
Give it a prompt and ChatGPT will find, analyze & synthesize hundreds of online sources to create a comprehensive report in tens of minutes vs what would take a human many hours.
Amazing! SpaceX continues to enhance #Starlink Gen2 network to deliver gigabit-speed, low-latency internet worldwide. Advanced satellite tech, E-band frequencies, and Starship launches - the future of global connectivity is approaching fast x10 - x20! ๐ฐ๏ธ๐ #SpaceX
NEWS: SpaceX requestedย on Friday that the FCC make โseveral small but meaningful updatesโ to its 2nd-generation @Starlink network.
โTogether, this modification and its companion amendment will enable the Gen2 system to deliver gigabit-speed, truly low-latency broadband and ubiquitous mobile connectivity to all Americans and the billions of people globally who still lack access to adequate broadband.โ
The request includes lowering the altitude of three Starlink satellite shells by 45 and 60 km.
SpaceX also wants the Starlink satellites to harness the E-band radio frequencies to help better deliver high-speed, low-latency broadband to users, including through fixed satellite dishes and mobile equipment.
โThe upgraded Gen2 system will feature enhanced hardware that can use higher gain and more advanced beamforming and digital processing technologies and provide more targeted and robust coverage for American consumers โ These upgraded satellites can maximize the use of the available bandwidth, enabling more efficient allocation of resources and facilitating a broader range of services.โ
Gen2 Starlink satellites will be launched with Starship
This is what 15 ft storm surge looks like as captured on Ft. Myers Beach during Hurricane Ian.
This is precisely why I evacuated my home in Evacuation Zone A.
๐โจ In the enchanting world of "Sailor Moon," the Sailor Soldiers wield powerful weapons to protect love and justice! From Sailor Moon's Moon Stick to Sailor Mars' Ofuda, each weapon embodies their unique powers.
Whatโs your favorite Sailor Soldier weapon? ๐๐ก๏ธ
#SailorMoon
๐ Shipping a few new tools for developers today! From last DevDay to this one:
๐๏ธ Realtime Voice API: Advanced voice mode via API
๐พ Prompt Caching: 50% off for repeated tokens, no setup required
๐ฐ 98% token cost reduction (GPT-4 to 4o mini)
๐ 50x token volume increase
...
shipping a few new tools for developers today!
from last devday to this one:
*98% decrease in cost per token from GPT-4 to 4o mini
*50x increase in token volume across our systems
*excellent model intelligence progress
*(and a little bit of drama along the way)
๐๏ธ๐ With OpenAI's real-time speech-to-speech technology, the world is changing faster than ever! Knowledge will be more accessible, but startups may face new challenges in this rapidly evolving landscape. โจ๐ @OpenAIDevs#AIInnovation#SpeechToSpeech#OpenAI#TechRevolution
๐ก๏ธ๐ฎ Explore the world of game assets with shield prompts on @beginGAIA! Unleash creativity and design unique protective elements for your games. Whatโs your ideal shield look like? ๐
Try: https://t.co/LLVrvInsJu
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๐ค How many closed-source AI do you know? Check out the latest wave of models shaping the future of AI:
1. NewOpenAI GPT-4
2. Google Gemini
3. Claude 3
...and more below!
#AIRevolution#ClosedSourceAI#AImodels#TechInnovation
๐๐ฑ Elon Musk plans to plant trees on Mars! Imagine witnessing greenery on the Red Planetโcanโt wait to see it happen! ๐โก๏ธ๐
Try: https://t.co/LLVrvInsJu
#MarsMission#ElonMusk#GreenMars#SpaceExploration
๐โจ While exploring the cosmos, Yuki spots NASAโs latest discoveryโasteroid 2024 ON! ๐จ This massive rock zoomed, within 621,000 miles, at 20,000 mph. ๐๐ญ
No impact risk, but it's a reminder of our cosmic neighborhood! ๐
#NASA#Asteroid2024ON#SpaceWatch
๐จNASA TRACKS STADIUM-SIZED ASTEROID FLYING 'RELATIVELY CLOSE' TO EARTH
NASA is monitoring asteroid 2024 ON, a massive 1,150-foot by 590-foot object moving at 20,000 mph.
It passed within 621,000 miles of Earth on Tuesday morning, close enough to be deemed "potentially hazardous"โthough there's no risk of impact.
Experts say such asteroids come this close every 5-10 years.
The last major impact was in Russia in 2013.
2024 ON is one of five asteroids passing by Earth this week.
Sources: Fox