@GergelyOrosz @biwills When googling for "The deal valued Cursor at $29.3 billion, a nearly 15-fold" in quotes, I got a series of mashups of TechCrunch headlines with their date followed directly by the same Cursor article snippet.
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Bill Katz
546 posts
Bill Katz
@wtkatz
Principal Software Engineer, HHMI Janelia Research Campus https://t.co/T8Z0Qt7gBI
Tham gia Haziran 2009
365 Đang theo dõi152 Người theo dõi
@biwills Hmm - maybe transient bug? Incorrect cache? As you said probably og tag populated incorrect, or Google’s summary messing up?
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One of the best timed sells of all time
Sam Rose@samwhoo
StackOverflow graph of questions asked per month. Holy shit.
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@lpachter The Stanford Comp Sci department is huge so the 13 profs shown constitute less than 20% of faculty. Not surprised Berkeley is represented well since it's a top CS grad program but the same could be said for MIT, CMU, and Stanford itself (13 self-hires).
jeffhuang.com/computer-scien…
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I have no skin in this Berkeley-Stanford game but always perform a control.
I guess Stanford students get trained by Berkeley students who were trained by Stanford students, etc.
Actually, the first CS department in the US was at Purdue University (1962).
Jelani Nelson@minilek
Stanford is a fantastic place to study CS -- you get to be trained by Berkeley students!
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Demis Hassabis talks about the moment he wanted to pursue research.
At 12, he was world’s 2nd best chess player for his age. He went to a tournament and lost to a 30-year old player, who was overly happy beating a kid.
Demis loved chess but realized all the brainpower in that room could accomplish so much more than just mastering a game and he decided to not pursue chess as a career.
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We've released the male CNS with lots of papers to follow.
HHMI | Janelia@HHMIJanelia
🪰 A team of researchers has unveiled the complete connectome of a male fruit fly central nervous system—a seamless map of all the neurons in the brain and nerve cord of a single male fruit fly and the millions of connections between them. 🔗 janelia.org/news/researche…
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Bill Katz đã retweet
Wouldn't it be great if we could not only image large connectomic volumes, but also completely reconstruct them? And if a whole mouse brain project didn't cost billions?
With the PATHFINDER preprint (biorxiv.org/content/10.110…), we preview a future where it doesn't have to.
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@AndrewHires @jazzplane Each term is the sum of all positive divisors of its index. Your 6 yo did this alone? That's very impressive.
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What’s the next number in this sequence? Pretty tricky, devised by my 6yo. Stumped me and GPT, but it’s actually quite simple.
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@jon_barron Thanks for the great talk! For those who want it all together, I presume this is the full talk on YouTube: youtube.com/watch?v=hFlF33…
YouTube
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Part 6: Has 3D been bitter-lessoned by generative video? No, not really! Here are the reasons to care about generative 3D in the context of generative video.
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Here's my 3DV talk, in chapters:
1) Intro / NeRF boilerplate.
2) Recent reconstruction work.
3) Recent generative work.
4) Radiance fields as a field.
5) Why generative video has bitter-lessoned 3D.
6) Why generative video hasn't bitter-lessoned 3D.
5 & 6 are my favorites.
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Bill Katz đã retweet
We built an AI model to simulate how a fruit fly walks, flies and behaves – in partnership with @HHMIJanelia. 🪰
Our computerized insect replicates realistic motion, and can even use its eyes to control its actions.
Here’s how we developed it – and what it means for science. 🧵
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Good summary of the best products from last week's Biohackers World Expo:
nypost.com/2025/04/09/hea…
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Domain knowledge (including software engineering) is important in using AI tools for real-world problems.
Andrew Ng@AndrewYNg
Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.” Statements discouraging people from learning to code are harmful! In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment. As coding becomes easier, more people should code, not fewer! Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step. I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively. One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that. When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result. Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do. [Original text: deeplearning.ai/the-batch/issu… ]
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@DrCraigEverett @paulg @abarrallen Yes, but the point I was making was how long you keep cash around before using it to buyback stock. In addition to periodic buying, it would make sense to have a fair amount of longer-term cash to have dry powder in the case of a big downturn like Meta's 2022 price crash.
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In the future, I imagine almost all companies will own Bitcoin, and it will be recommended by financial advisors to hold 1%.
unusual_whales@unusual_whales
Riot, $RIOT, acquires 5,117 bitcoin for $510 million
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@DrCraigEverett @paulg @abarrallen There do seem to be other legitimate reasons for holding cash:
hbr.org/2024/02/why-ar…
Wouldn't keeping cash make sense to preferentially buyback stock during market drops (e.g., Meta during 2022) as opposed to fixed purchases over time?
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Yes, and they are heavily criticized keeping all that cash. The only legitimate reasons for holding excess cash are imminent expansion or acquisition. Otherwise it should be used for a stock buyback or a special dividend. Having a large non-operating asset on your balance sheet is unnecessarily inefficient.
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@DrCraigEverett @paulg @abarrallen Don't the largest blue-chip tech companies (Apple, Microsoft, Meta, Amazon, etc) have large amounts of cash?
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It is a red flag for companies to hold non-operating assets like bitcoin, gold or even excess cash. It means that they have run out of growth/investment opportunities for their normal business. Companies don’t need to diversify. They are more efficient if they stick to their core competency.
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@pbwinston Just came back from a 3 week trip to Tokyo. I think all of the various high-end hotels (including a Hyatt in Tokyo) had nice flat screens, some allowing easy use of your own YouTube, Netflix, etc. They also had USB ports near bed for charging.
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Bill Murray in Lost in Translation (2003) stays in the high-end Park Hyatt Tokyo but has a clunky CRT TV, VCR and FAX machine in his room. Much of his hotel experience would be identical today, but these are drastically worse than a big flat screen and a smartphone.
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Go is unsurprisingly becoming a very popular language for inference heavy AI systems and applications. #golang
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Bill Katz đã retweet
📢Our latest preprint shows that learning global neuron shapes can help to automatically proofread connectomes and predict neuron types. biorxiv.org/content/10.110… Work done in collaboration with @HHMIJanelia, @srinituraga & @HarvardVCG #connectomics #AI 🧵(1/n)
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Bill Katz đã retweet
Our work simulating the fly visual system connectome with @jakhmack @lappalainenjk is now out in @Nature Paper (open access): nature.com/articles/d4158…
Research Briefing: nature.com/articles/d4158…
HHMI | Janelia@HHMIJanelia
AI & the connectome are enabling scientists to do what they never thought possible: predict the activity of individual neurons without a single measurement in a living brain. New research led by Janelia’s @srinituraga & @uni_tue’s @lappalainenjk @jakhmack janelia.org/news/researche…
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@pablothee @AmyClukey @tuuliel The article cites an 18% reduction. We're nowhere near perfectly sanitized environments and even implementing the suggested systems wouldn't prevent waves of airborne infections that can then pass on to others.
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Not every virus is covid and I doubt your solution is to put kids in a bubble of purified air at all times.
So given we think the solution is not to live in perfectly sanitized environments and also not terrible ones, where do we draw the line? Is this the line? That’s my comment.
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Air purifiers in Finnish daycare reduced children's illnesses by 18% in a carefully controlled study. This implies huge potential for better public health and cost savings from sick leaves, with a simple intervention against airborne infections.
yle.fi/a/74-20089670
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Bill Katz đã retweet
Genius license plate for a Miata: HTTP 507 (“Insufficient Storage”).
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