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We gave two agents the same task: “Find images matching this description.” Both use Gemma 4 31B. One runs on Cerebras. The other runs on GPUs. You can see the difference. Speed changes the product experience. What would you build if you didn't have to wait?

Cerebras

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87,056 görüntüleme • 12 gün önce •via X (Twitter)

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Gemma 4 31B is now available in Public Preview on Cerebras. Our first multimodal model runs at over 1,800 tokens/s for ultra-fast image and text workflows. Give it a try:

Gemma 4 31B is now available in Public Preview on Cerebras. Our first multimodal model runs at over 1,800 tokens/s for ultra-fast image and text workflows. Give it a try:

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Jeffrey Epstein says there would be “RUNS on the bank” if the public knew how the banking system works. “If you have one [dollar], you can lend out nine. That’s the way our system works.” “People on the street... would find it impossible to believe.”

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what if you could instantly clone any object? Gemma 4 is now on Cerebras Inference, running up to 10x faster than GPUs (1,500 tokens/sec). Multimodal generations you can iterate on in real time :)

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324 runs on the board 9 wickets down 1 run to win And then… 😅 What would you do if you were the bowler?

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Stabledash

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Gutfeld: That is garbage. That is absolute garbage. I will give you the both sides. On one hand you have the hard left and on the other hand you have the left. Both sides of the same coin. You walk into this room and you are not reading it. Because there is no both sides. You guys act on it. We don't

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Did you know that you can add filters, emojis, description to the images? You can also put a content warning on the Tweets. 

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DogeDesigner

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My submission to the Cerebras Google Gemma hackathon, Carbide. Carbide is an ontology builder. Based on a research prompt Carbide uses Cerebras Gemma4 agents to build an ontology. The agents connects individual nodes of information based on the relationship that the agents infer. The agents also assign a confidence metric for how accurate they think the relationship is. You can see each node in a relationship table of the information -> relationship -> target -> and the confidence the relationship is true. The inspector shows the node's connected edges and as an expand button to grow the ontology in the direction of that information. You can scroll through each concept and load them in the inspector. You can search the entire graph based on the kind of relationships generated, or key words. A visual shows how each nodes connects to another one and by what relationship, and changes with new nodes or search filters. Sorry for the audio quality. $CBRS $GOOG

QuantHood

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GLM 4.7 is one of the strongest open-source coding models available—but most developers aren't prompting it correctly. We put together 10 rules to help you get the most out of it: - Front-load instructions (it has a strong recency bias) - Use firm language: "must" and "strictly" > soft suggestions - Break complex tasks into smaller steps - Disable reasoning for simple tasks, enable it for hard ones - Use critic agents for code review, QA, and validation - Pair it with a frontier model for the hardest 10% of workloads - and more… GLM 4.7 hits 96% on Tau² Bench and 86% on GPQA Diamond. At 1,500 tokens/sec on Cerebras, it's 20x faster than closed-source alternatives on GPUs.

GLM 4.7 is one of the strongest open-source coding models available—but most developers aren't prompting it correctly. We put together 10 rules to help you get the most out of it: - Front-load instructions (it has a strong recency bias) - Use firm language: "must" and "strictly" > soft suggestions - Break complex tasks into smaller steps - Disable reasoning for simple tasks, enable it for hard ones - Use critic agents for code review, QA, and validation - Pair it with a frontier model for the hardest 10% of workloads - and more… GLM 4.7 hits 96% on Tau² Bench and 86% on GPQA Diamond. At 1,500 tokens/sec on Cerebras, it's 20x faster than closed-source alternatives on GPUs.

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The amount of success you can have if your QB runs like this is off the charts

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#DunkFSRICHwithDUNK #JoongFSLUCKYwithJOONG : i’m writing a JoongDunk fanfic. in the story only one of you can survivein the end. if you had to chooses would you want yourself to survive or the other person? why? 🌞i want to die … i want to be someone die … it must be drama … if someone survives someone dies… if that’s how it … i will be someone die : why? 🌞cause i don’t want him to die ….. 🌻: it’s okay we can survive both because one survive the other one can help each other if you can each other —— : if you could change one thing about the ending of this story what would you want to change the most? 🌞: die too ( die 2 both die) 🌻: both happy ending

🇻🇳Jaidee’s aunt Bamnie🐣

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