Vikesh Pandey

Applied AI @SpaceXAI. Opinions are of a AI bot trained on my and only my brain.

[Artificial Analysis @ArtificialAnlys]

Grok 4.5 in Grok Build also stands out for its efficiency. Grok 4.5 in Grok Build cost $2.49 per task while Fable 5 in Claude Code cost $11.80 and GPT-5.5 in Codex $5.07. This is driven by relatively low token pricing and the model using far fewer tokens than comparable models (1.9M average tokens used per task), significantly less than Fable 5 in Claude Code (7.2M) and GPT-5.5 in Codex (6.2M)

[SpaceXAI @SpaceXAI]

Grok 4.5 is built for real-world engineering. It excels in large codebases and handles long-running tasks that span multiple repositories, hundreds of skills, and a variety of tools.

[SpaceXAI @SpaceXAI]

Announcing Grok 4.5, our first model trained specifically for coding and agents. It was trained with Cursor and offers frontier intelligence at leading speeds and cost efficiency.

https://t.co/i8HpU7w64k

[Elon Musk @elonmusk]

Based on strong positive feedback from customers in our beta test program, @SpaceXAI will make Grok 4.5 available to the public tomorrow.

It is an Opus-class model, but faster, more token-efficient and lower cost.

[SpaceXAI @SpaceXAI]

We are now @SpaceXAI.

[Elon Musk @elonmusk]

Grok 4.5, based on our 1.5T V9 foundation model, with Cursor data added in supplemental training, is now in private beta at SpaceX & Tesla. Early evals show performance close to, perhaps exceeding Opus.

RL is continuing to significantly improve the model, and the Grok Build harness gets better every day.

Nice work by all those involved!

Completely trained from scratch new models will be released by @SpaceX every month this year.

[MIT CSAIL @MIT_CSAIL]

Happy birthday to Alan Turing, the creator of modern computing.

[Vikesh Pandey @vikeshtalksAI]

Generally, LLMs are known to make up facts (known as hallucinations), but then comes @grok , an LLM which is relentlessly used for fact checking on @X and it does an amazing job at it. How ?

Grok scores the lowest hallucination rate amongst all frontier LLMs. This is what we mean by truth seeking AI. https://t.co/CLAnRPwN1r

[Vikesh Pandey @vikeshtalksAI]

@PhysInHistory There are all of them and then there is Feynman

[Vikesh Pandey @vikeshtalksAI]

@mcuban @grok summarize the article for me

[Vikesh Pandey @vikeshtalksAI]

Detailed docs at: https://t.co/DIZ40IJ5a8

Follow me to stay up to date for all things Gen AI/ML at AWS and beyond !!

[Vikesh Pandey @vikeshtalksAI]

🚀🚀🚀𝗚𝗲𝗻 𝗔𝗜/𝗠𝗟@𝗥𝗲:𝗜𝗻𝘃𝗲𝗻𝘁 𝘂𝗽𝗱𝗮𝘁𝗲𝘀. 𝟯/𝟰𝟮:

🚀🚀🚀𝗔𝗺𝗮𝘇𝗼𝗻 𝗕𝗲𝗱𝗿𝗼𝗰𝗸 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗕𝗮𝘀𝗲𝘀 𝗻𝗼𝘄 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 (𝗽𝗿𝗲𝘃𝗶𝗲𝘄) !!

𝗧𝗵𝗶𝗻𝗴𝘀 𝘁𝗼 𝗸𝗻𝗼𝘄: 🧵

[Vikesh Pandey @vikeshtalksAI]

👉 Available in AWS Regions where Bedrock Knowledge Bases and Amazon Neptune Analytics are both available (which are: N. Virginia, Ohio, Oregon, Tokyo, Frankfurt and London)

[Vikesh Pandey @vikeshtalksAI]

Only works with textual data so far.

[Vikesh Pandey @vikeshtalksAI]

𝗚𝗲𝗻 𝗔𝗜/𝗠𝗟@𝗥𝗲:𝗜𝗻𝘃𝗲𝗻𝘁 𝘂𝗽𝗱𝗮𝘁𝗲𝘀. 𝟭/𝟰𝟮:

🚀🚀🚀Amazon Bedrock now supports Rerank API to improve accuracy of RAG applications !!

A 🧵.....

[Vikesh Pandey @vikeshtalksAI]

Available in 4 regions: US West (N. California), Tokyo, Canada (Central) and Frankfurt