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Fox ๐ŸฆŠ

Fox ๐ŸฆŠ

@DBdox

Conservative || Hindu Rashtra ๐Ÿšฉ

Akhand Bharat ๊ฐ€์ž…์ผ Mayฤฑs 2018
287 ํŒ”๋กœ์ž‰691 ํŒ”๋กœ์›Œ
Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
internet hall of fame
internet hall of fame@InternetH0Fยท
Finally found this classic ๐Ÿ˜ญ
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
Andrej Karpathy
Andrej Karpathy@karpathyยท
Three days ago I left autoresearch tuning nanochat for ~2 days on depth=12 model. It found ~20 changes that improved the validation loss. I tested these changes yesterday and all of them were additive and transferred to larger (depth=24) models. Stacking up all of these changes, today I measured that the leaderboard's "Time to GPT-2" drops from 2.02 hours to 1.80 hours (~11% improvement), this will be the new leaderboard entry. So yes, these are real improvements and they make an actual difference. I am mildly surprised that my very first naive attempt already worked this well on top of what I thought was already a fairly manually well-tuned project. This is a first for me because I am very used to doing the iterative optimization of neural network training manually. You come up with ideas, you implement them, you check if they work (better validation loss), you come up with new ideas based on that, you read some papers for inspiration, etc etc. This is the bread and butter of what I do daily for 2 decades. Seeing the agent do this entire workflow end-to-end and all by itself as it worked through approx. 700 changes autonomously is wild. It really looked at the sequence of results of experiments and used that to plan the next ones. It's not novel, ground-breaking "research" (yet), but all the adjustments are "real", I didn't find them manually previously, and they stack up and actually improved nanochat. Among the bigger things e.g.: - It noticed an oversight that my parameterless QKnorm didn't have a scaler multiplier attached, so my attention was too diffuse. The agent found multipliers to sharpen it, pointing to future work. - It found that the Value Embeddings really like regularization and I wasn't applying any (oops). - It found that my banded attention was too conservative (i forgot to tune it). - It found that AdamW betas were all messed up. - It tuned the weight decay schedule. - It tuned the network initialization. This is on top of all the tuning I've already done over a good amount of time. The exact commit is here, from this "round 1" of autoresearch. I am going to kick off "round 2", and in parallel I am looking at how multiple agents can collaborate to unlock parallelism. github.com/karpathy/nanocโ€ฆ All LLM frontier labs will do this. It's the final boss battle. It's a lot more complex at scale of course - you don't just have a single train. py file to tune. But doing it is "just engineering" and it's going to work. You spin up a swarm of agents, you have them collaborate to tune smaller models, you promote the most promising ideas to increasingly larger scales, and humans (optionally) contribute on the edges. And more generally, *any* metric you care about that is reasonably efficient to evaluate (or that has more efficient proxy metrics such as training a smaller network) can be autoresearched by an agent swarm. It's worth thinking about whether your problem falls into this bucket too.
Andrej Karpathy tweet media
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
Claude
Claude@claudeaiยท
Ads are coming to AI. But not to Claude. Keep thinking.
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
Cloudflare Developers
Cloudflare Developers@CloudflareDevยท
We took @openclaw and brought it to @Cloudflare Workers! With the Sandbox SDK, it's secure by default. Check out the blog post to learn how it all fits together... Or skip straight to deploying ๐Ÿ˜Žโฌ‡๏ธ github.com/cloudflare/molโ€ฆ
Cloudflare@Cloudflare

Moltworker is a middleware Worker and adapted scripts that allows running Moltbot (formerly Clawdbot) on Cloudflare's Sandbox SDK and our Developer Platform APIs. So you can self-host an AI personal assistant โ€” without any new hardware. cfl.re/4k6NUmp

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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
ViralRush โšก
ViralRush โšก@ViralRushXยท
AI based monitoring on railway tracks in India has led to zero elephant deaths over the past two years.
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Kreately.in
Kreately.in@KreatelyMediaยท
AI based monitoring on rail tracks in India Zero elephant deaths in 2 years ๐Ÿ‡ฎ๐Ÿ‡ณ
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
Cabot Phillips
Cabot Phillips@cabot_phillipsยท
How CNN frames 6% inflation under Joe Biden vs. 2.7% inflation under Donald Trump.
Cabot Phillips tweet media
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
Nick Khami
Nick Khami@skeptruneยท
claude --dangerously-skip-permissions
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
Johnny St.Pete
Johnny St.Pete@JohnMcCloyยท
๐Ÿ”ฅ๐Ÿ‘€๐Ÿ‡บ๐Ÿ‡ธ THE LEGEND OF โ€œMAGA TYSONโ€ WAS BORN TODAY. If you put a megaphone with a BLARING SIREN in someoneโ€™s ear that w/ the intent to permanently deafen themโ€ฆthat is CONSIDERED ASSAULT & you can defend yourself. He was tossing out HUMPTY DUMPTIES to every single one of them that ATTACKED HIM.
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Rishi Bagree
Rishi Bagree@rishibagreeยท
@Tamal0401 Why are TMC MPs defending a private company involved in the coal scam ???
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Tamal Saha
Tamal Saha@Tamal0401ยท
I bet you havenโ€™t heard this before โ€œ#BJP is โ€˜beguner bachhaโ€™ (son of brinjal)โ€ Says Mahua Moitra Clearly Mohun ๐Ÿ† East ๐Ÿ† effect
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ScooP๐Ÿ’›
ScooP๐Ÿ’›@ScoopySnaxยท
@elonmusk What does that have to do with the woman he murdered? nothing.
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Brutal Truth
Brutal Truth@sarkarstixยท
@elonmusk That doesnโ€™t give him a license to kill a woman who was clearly trying to save herself and not harm anyone
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
chimp
chimp@chimppยท
Just gonna hold the throttle till I see God or the checkered flag
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
๐Ÿ’–๐ŸŒธ
๐Ÿ’–๐ŸŒธ@utthishta_ยท
Shekhar gupta held back nothing ๐Ÿ’€๐Ÿ’€๐Ÿ’€
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Fox ๐ŸฆŠ ๋ฆฌํŠธ์œ—ํ•จ
Baba Banarasโ„ข
Baba Banarasโ„ข@RealBababanarasยท
Original "Raghupati Raghav Raja Ram". Note : This is not communal. This is original.
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