sisyphus bar and grill
@itunpredictable
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blog poaster @amplifypartners @readtechnically
The Cloud
Joined July 2012
Very thorough review of vibe coding tools.
I tested all of the best vibe coding tools so you don't have to https://t.co/M2ibf3wR6y
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the equivalent of discovering a 6th book of the pentateuch
Final Sarah Paine lecture: Why Russia lost the Cold War. To me, the most interesting question is not why the Soviet Union ultimately collapsed - it's how a brutal, centrally planned, stupendously inefficient, colonial land empire survived for so long. I was surprised to learn
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The current media meta in tech tends to lionise past success or focus on the immediate future. I always felt technology most inspired when taking a longer lens on timelines, so started working on a series of thoughts/chats about 2050 starting here. 👇 https://t.co/ZntTQg4PST
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I tested all of the best vibe coding tools so you don't have to https://t.co/M2ibf3wR6y
read.technically.dev
Comparing Replit, v0, Lovable and Bolt, in a bakeoff to decide who will be Vandalay Industries go-to vibe coding tool.
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thinking about the engineer that had to build the LinkedIn Year in Review
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More of my thoughts and paper links in the blogpost below... https://t.co/lIHR5tp3Fq
amplifypartners.com
Highlights of this year's NeurIPS conference: scaling environments, multi-agent frameworks, test-time training, and more.
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NeurIPS 25 was less of a conference and more holy pilgrimage. The sacred scriptures didn't dissapoint, ranging from automating environment design to search over scaffolds, long-context architectures and making continual learning/multi-turn RL robust. Read on for our takeaways!
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They can't help themselves. We want storytellers...to write case studies The discipline is simply not respected
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The fact that (1) the average CMO tenure is idiosyncratically short and (2) companies feel they are losing the story is downstream of the same problem. You made marketing solely about adwords and MQLs and views. now you are reaping
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the hottest thing in AI right now is misquoting researchers from the Dwarkesh podcast
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evals are not just for engineers. data analysis --> bucketing --> assertions / evals will make the AI systems you're building internally better and more reliable some wisdom from the don @HamelHusain
https://t.co/ChlmgMHmRU
read.technically.dev
How to actually make your AI workflows, er, work.
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Yesterday Antithesis announced their $105M Series A (yea) A few weeks ago I worked with their team to write a beginner's guide to Deterministic Simulation Testing, the technology behind their product Coincidence? Probably
The most interesting thing going on outside of AI today is Deterministic Simulation Testing. Among systems/infra people this is well understood to be a major technological shift; it's how FoundationDB and @TigerBeetleDB short-cutted the usual 10 year DB buildout. The basic idea
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Whether this launch goes well or not, I'll always have Parth.
UNDERSTAND AI OR DIE TRYING Announcing the AI Reference, the best, fastest, and free-est way to get smart on the fundamentals of AI models and how they work. Stuff like RAG, RLHF, context, and pre-training. It’s totally free and you can dive in here. https://t.co/6C7gGtG7kz
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