Aseem Saxena @aseembits93

there are probably less than ~100 people living who can write performant CUDA kernels for training specifically. definitely quite a bit more if we include inference optimizations; backwards kernels, not so much

With AI the demo is easy, the product is hard. We will need a new class of product managers to build trusted interfaces for pseudo-non-deterministic systems. But, even more, we’ll need a shift in societal expectations from an expectation that machines are perfect and predictable.

Aaron Levie @levie

a month ago

With AI the demo is easy, the product is hard. We will need a new class of product managers to build trusted interfaces for pseudo-non-deterministic systems. But, even more, we’ll need a shift in societal expectations from an expectation that machines are perfect and predictable.

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Being kind boosts mental health more than seeking joy. Evidence: Doing 3 random acts of kindness a week is enough to reduce depression, anxiety & loneliness. It's more beneficial than doing nice things for yourself. Self-care feels good, but generosity builds lasting bonds.

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Is @openreviewnet down?

how is @claudeai's claude code so damn good and how can you recreate its magic in your own llm agent/workflow? intercepted all cc calls over the last few months and wrote up a 2k word guide on this! (all prompts, tools linked in comments) main takeaways (0/3): 0.…

Introducing codeflash optimize - End-to-End Python Performance Optimization in One Command 🚀 We're excited to announce codeflash optimize - the breakthrough tool that automatically optimizes your entire Python workflow with a simple command. From weeks of expert work to one…

How I found 77 optimizations for the Plotly library in 2 mins using @codeflashAI . Codeflash achieves superhuman performance in optimizing even the most battle tested libraries like Plotly. Codeflash works exactly how an expert engineer would, to rigorously find and prove the…

@christophcsmith @charliermarsh We've seen that python can be really fast when it is written in a way that leads to fast code execution. That's why python code using pytorch, numpy etc are so fast. Developers miss so many optimizations while writing python - I am working on figuring how can we make everyone…

Being in the generative AI ring from almost day one, it’s rare that things truly impress me. But the breadth of what Google just launched at I/O is something else. When you’re in the same room, it hits different — the direction of innovation becomes sharper, deeper, more urgent.

Every now and then I realize that if an LLM produces correct code, it must also approximate a simulation of that code’s execution in its hidden states. blows my mind every single time

Had a great time chatting with creator of Numpy! @teoliphant

Loving PyCharm here! @jetbrains #RelaxWithPyCharm

Google DeepMind's AlphaEvolve announcement is a clear signal: AI-powered code optimization isn't just the future - it's essential right now. While AlphaEvolve represents groundbreaking research, at Codeflash, we're making AI-driven superhuman code optimization accessible to…

Read more about why this AlphaEvolve moment matters for all developers: codeflash.ai/post/the-alpha…

Excited to announce that Codeflash will be at #Pycon2025 in Pittsburgh this weekend! Stop by our booth to see how we're helping Python developers ship performant code without slowing down feature development. Our team will be demonstrating how we achieved 25% faster performance…

Huge congrats to the @daytonaio team on launching Daytona Cloud. Purpose-built infrastructure for AI agents, not humans.

Daytona @daytonaio

5 months ago

Huge congrats to the @daytonaio team on launching Daytona Cloud. Purpose-built infrastructure for AI agents, not humans.

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Here's the article with more details of our research - codeflash.ai/post/llms-stru… Would love to hear what you think about our discovery and our approach! 5/5

If you can build strong verification systems that attempt to optimize all the code you write, in the background, then every code you write will be performant. This is what we've built at @codeflashAI, where companies like @langflow_ai , @roboflow never ship slow code anymore. 4/

After optimizing 100K+ open source functions, we learned that LLMs really struggle to write performant code. 90% of the suggested optimizations fail! Dangerously 62% of the generated code has different behavior, causing bugs. We have invented a way to solve this problem. 1/

~2h saturday morning vibe coding project - python debugger that sends the execution trace to an LLM. try it if you’re debugging code! #llm #opensource #devtool github.com/alvin-r/snoope…