{"id":110681,"date":"2026-08-11T20:51:30","date_gmt":"2026-08-11T20:51:30","guid":{"rendered":"https:\/\/youzum.net\/the-download-the-next-big-thing-in-llms-and-how-ai-academic-research-is-shifting\/"},"modified":"2026-08-11T20:51:30","modified_gmt":"2026-08-11T20:51:30","slug":"the-download-the-next-big-thing-in-llms-and-how-ai-academic-research-is-shifting","status":"publish","type":"post","link":"https:\/\/youzum.net\/es\/the-download-the-next-big-thing-in-llms-and-how-ai-academic-research-is-shifting\/","title":{"rendered":"The Download: the next big thing in LLMs and how AI academic research is shifting"},"content":{"rendered":"

This is today\u2019s edition of <\/em>The Download<\/em><\/a>, our weekday newsletter that provides a daily dose of what\u2019s going on in the world of technology.<\/em><\/p>\n

These startups are chasing the next big thing in LLMs<\/strong><\/strong><\/h3>\n

Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large language model. But transformers are starting to show their age.\u00a0<\/p>\n

As LLMs get bigger and better, transformers have become a bottleneck. Their dense attention mechanism becomes increasingly expensive as the amount of text grows, and they\u2019re not great at keeping track of a lot of information at once.<\/p>\n

Here are four new ideas for how to solve the transformer problem<\/a>\u2014innovations that could change LLMs for good, making them faster, far more efficient, and (maybe) even smarter.<\/p>\n

\u2014Will Douglas Heaven<\/em><\/p>\n

This story<\/a> is from MIT Technology Review\u2019s What\u2019s Next series, which looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them <\/strong>aqu\u00ed<\/strong><\/a>.<\/strong><\/p>\n

AI professors are negotiating the new realities of academic research<\/strong><\/strong><\/h3>\n

\u2014Grace Huckins<\/em><\/p>\n

Last week, I headed to a hotel in Mountain View, California, to join some of the most accomplished, and some of the most promising, AI researchers in the world. I was hosting roundtable interviews and speaking at a media training for a convening of the Schmidt Sciences AI2050 program, an initiative funded by Eric and Wendy Schmidt that supports academics whose work involves AI.\u00a0<\/p>\n

The fellows list is a who\u2019s who of AI luminaries, and though not all of them made it out to the Bay, every time I turned a corner I saw a scientist whom I\u2019d interviewed previously or whose research I admired. It\u2019s a weird time for university AI researchers, who make up most of the AI2050 group. Read Grace\u2019s story to find out why, and what could be coming next<\/a>.<\/p>\n

This <\/strong>story<\/strong><\/a> is from The Algorithm, our weekly AI newsletter. <\/strong>Sign up<\/strong><\/a> to receive it in your inbox every Monday.<\/strong><\/p>\n

The must-reads<\/strong><\/p>\n

I\u2019ve combed the internet to find you today\u2019s most fun\/important\/scary\/fascinating stories about technology.<\/em><\/p>\n

1 Nvidia has secured $500 billion from Wall Street for AI infrastructure<\/strong>
It\u2019s struck deals with BlackRock, Goldman Sachs, and four others. (BBC<\/a>)
+ Showing the pull of AI compute for \u2060institutional investors.<\/em> (Reuters<\/a> $)
+\u00a0And that AI infrastructure is becoming a new asset class.<\/em> (CNBC<\/a>)
\u00a0
2 Mark Zuckerberg\u2019s new manifesto says open-source AI can save the US<\/strong>
It presents a utopian vision of personalized \u201csuperintelligence.\u201d (Guardian<\/a>)
+ And arrived the same day as Meta\u2019s new, open-source model. <\/em>(NYT<\/a> $)
+ Zuckerberg said he plans to launch more of these models.<\/em> (WSJ<\/a> $)
+ And pit Meta against Chinese open-weight developers.<\/em> (SCMP<\/a>)
\u00a0
3 Bernie Sanders has called on Silicon Valley to \u201cpause AI development\u201d<\/strong>
He noted that AI giants have pledged to do this if necessary for safety.
+ And warned that lawmakers will step in if no action is taken.<\/em> (Guardian<\/a>)
+ House Democrats are already pressing AI leaders over rogue models.<\/em> (WP<\/a> $)
+ A populist backlash is building against AI.<\/em> (MIT Technology Review<\/a>)
\u00a0
4 A US court will allow thousands of social media lawsuits to proceed<\/strong>
The suits target addictive mechanisms used by Meta, TikTok, Google, and Snapchat. (Axios<\/a>)
+ They claim the platforms are designed to hook young users.<\/em> (Reuters<\/a> $)
+ Can we repair the internet?<\/em> (MIT Technology Review<\/a>)
\u00a0
5 Unitree\u2019s IPO is more than 8,000 times oversubscribed by retail<\/strong>
The Chinese humanoid firm raised $900 million ahead of its listing. (Reuters<\/a> $)
+ Its pricing for the Shanghai IPO values the company at $9 billion. <\/em>(FT<\/a> $)<\/p>\n

6 Flock\u2019s car-tracking cameras are facing a bipartisan backlash<\/strong>
The surveillance network has spread rapidly across the US. (NYT<\/a> $)
+ Flock also plans to chase shoplifters with drones.<\/em> (MIT Technology Review<\/a>)
\u00a0
7 China is breaking up AI relationships<\/strong>
Beijing has introduced new rules for emotionally interactive AI. (Rest of World<\/a>)
+ It\u2019s surprisingly easy to fall for a chatbot.<\/em> (MIT Technology Review<\/a>)
\u00a0
8 An AI tool claims to pick the best 1% of scientific papers<\/strong>
But researchers doubt that AI can reliably judge scientific quality. (Nature<\/a>)<\/p>\n

9 The AI slop backlash is working<\/strong>
It\u2019s pushing platforms to restrict AI-generated content. (Wired<\/a> $)<\/p>\n

10 An 82-year-old rejected\u00a0$26 million to turn her farm into\u00a0a data center<\/strong>
She criticised the environmental impacts of data centers. (Fortune<\/a>)<\/p>\n

Quote of the day<\/strong><\/p>\n

\u201cIt is not too late to avoid disaster. Stop building machines that humans cannot control.\u201d\u00a0<\/strong><\/h2>\n

\u2014Senator Bernie Sanders urges Sam Altman, Dario Amodei, and Mark Zuckerberg to pause all AI development in a letter<\/a>.<\/p>\n

One More Thing<\/strong><\/p>\n

\"\"<\/figure>\n

The race to make the perfect baby is creating an ethical mess<\/strong><\/h4>\n

A new field of science is using genetic sequencing to predict what kind of person an embryo might become. Some parents turn to these tests to avoid devastating genetic disorders, while a much smaller group are willing to pay tens of thousands of dollars to optimize for intelligence, appearance, and personality.<\/p>\n

Customers, however, may not be getting what they\u2019re paying for. Genetics experts have highlighted the potential deficiencies of this testing for years, while its underlying assumptions have made these companies a political lightning rod.<\/p>\n

As this technology edges toward the mainstream, scientists and ethicists are racing to confront the implications\u2014for our social contract, for future generations, and for our very understanding of what it means to be human. Read the full story<\/a>.<\/p>\n

\u2014Julia Black<\/em><\/p>\n

We can still have nice things<\/strong><\/p>\n

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? <\/em>Drop me a line<\/em><\/a>.)<\/em><\/p>\n

+ An eagle-eyed border collie is taking the game of fetch into new waters<\/a>.
+ musicForprogramming<\/a> has made a valiant attempt to produce the perfect tunes for sustained concentration.
+ When kids design playgrounds<\/a>, they create a cheerful mix of giant chess, pink basketball courts\u2014and lava.
+ This power metal version of the \u201cBack to the Future\u201d music<\/a> is an epic reinvention of the film\u2019s classic theme.\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

This is today\u2019s edition of The Download, our weekday newsletter that provides a daily dose of what\u2019s going on in the world of technology. These startups are chasing the next big thing in LLMs Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large language model. But transformers are starting to show their age.\u00a0 As LLMs get bigger and better, transformers have become a bottleneck. Their dense attention mechanism becomes increasingly expensive as the amount of text grows, and they\u2019re not great at keeping track of a lot of information at once. Here are four new ideas for how to solve the transformer problem\u2014innovations that could change LLMs for good, making them faster, far more efficient, and (maybe) even smarter. \u2014Will Douglas Heaven This story is from MIT Technology Review\u2019s What\u2019s Next series, which looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. AI professors are negotiating the new realities of academic research \u2014Grace Huckins Last week, I headed to a hotel in Mountain View, California, to join some of the most accomplished, and some of the most promising, AI researchers in the world. I was hosting roundtable interviews and speaking at a media training for a convening of the Schmidt Sciences AI2050 program, an initiative funded by Eric and Wendy Schmidt that supports academics whose work involves AI.\u00a0 The fellows list is a who\u2019s who of AI luminaries, and though not all of them made it out to the Bay, every time I turned a corner I saw a scientist whom I\u2019d interviewed previously or whose research I admired. It\u2019s a weird time for university AI researchers, who make up most of the AI2050 group. Read Grace\u2019s story to find out why, and what could be coming next. This story is from The Algorithm, our weekly AI newsletter. Sign up to receive it in your inbox every Monday. The must-reads I\u2019ve combed the internet to find you today\u2019s most fun\/important\/scary\/fascinating stories about technology. 1 Nvidia has secured $500 billion from Wall Street for AI infrastructureIt\u2019s struck deals with BlackRock, Goldman Sachs, and four others. (BBC)+ Showing the pull of AI compute for \u2060institutional investors. (Reuters $)+\u00a0And that AI infrastructure is becoming a new asset class. (CNBC)\u00a02 Mark Zuckerberg\u2019s new manifesto says open-source AI can save the USIt presents a utopian vision of personalized \u201csuperintelligence.\u201d (Guardian)+ And arrived the same day as Meta\u2019s new, open-source model. (NYT $)+ Zuckerberg said he plans to launch more of these models. (WSJ $)+ And pit Meta against Chinese open-weight developers. (SCMP)\u00a03 Bernie Sanders has called on Silicon Valley to \u201cpause AI development\u201dHe noted that AI giants have pledged to do this if necessary for safety.+ And warned that lawmakers will step in if no action is taken. (Guardian)+ House Democrats are already pressing AI leaders over rogue models. (WP $)+ A populist backlash is building against AI. (MIT Technology Review)\u00a04 A US court will allow thousands of social media lawsuits to proceedThe suits target addictive mechanisms used by Meta, TikTok, Google, and Snapchat. (Axios)+ They claim the platforms are designed to hook young users. (Reuters $)+ Can we repair the internet? (MIT Technology Review)\u00a05 Unitree\u2019s IPO is more than 8,000 times oversubscribed by retailThe Chinese humanoid firm raised $900 million ahead of its listing. (Reuters $)+ Its pricing for the Shanghai IPO values the company at $9 billion. (FT $) 6 Flock\u2019s car-tracking cameras are facing a bipartisan backlashThe surveillance network has spread rapidly across the US. (NYT $)+ Flock also plans to chase shoplifters with drones. (MIT Technology Review)\u00a07 China is breaking up AI relationshipsBeijing has introduced new rules for emotionally interactive AI. (Rest of World)+ It\u2019s surprisingly easy to fall for a chatbot. (MIT Technology Review)\u00a08 An AI tool claims to pick the best 1% of scientific papersBut researchers doubt that AI can reliably judge scientific quality. (Nature) 9 The AI slop backlash is workingIt\u2019s pushing platforms to restrict AI-generated content. (Wired $) 10 An 82-year-old rejected\u00a0$26 million to turn her farm into\u00a0a data centerShe criticised the environmental impacts of data centers. (Fortune) Quote of the day \u201cIt is not too late to avoid disaster. Stop building machines that humans cannot control.\u201d\u00a0 \u2014Senator Bernie Sanders urges Sam Altman, Dario Amodei, and Mark Zuckerberg to pause all AI development in a letter. One More Thing The race to make the perfect baby is creating an ethical mess A new field of science is using genetic sequencing to predict what kind of person an embryo might become. Some parents turn to these tests to avoid devastating genetic disorders, while a much smaller group are willing to pay tens of thousands of dollars to optimize for intelligence, appearance, and personality. Customers, however, may not be getting what they\u2019re paying for. Genetics experts have highlighted the potential deficiencies of this testing for years, while its underlying assumptions have made these companies a political lightning rod. As this technology edges toward the mainstream, scientists and ethicists are racing to confront the implications\u2014for our social contract, for future generations, and for our very understanding of what it means to be human. Read the full story. \u2014Julia Black We can still have nice things A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.) + An eagle-eyed border collie is taking the game of fetch into new waters.+ musicForprogramming has made a valiant attempt to produce the perfect tunes for sustained concentration.+ When kids design playgrounds, they create a cheerful mix of giant chess, pink basketball courts\u2014and lava.+ This power metal version of the \u201cBack to the Future\u201d music is an epic reinvention of the film\u2019s classic theme.\u00a0<\/p>","protected":false},"author":2,"featured_media":110675,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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NU","author_link":"https:\/\/youzum.net\/es\/members\/adminnu\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/youzum.net\/es\/category\/ai-club\/\" rel=\"category tag\">AI<\/a> <a href=\"https:\/\/youzum.net\/es\/category\/committee\/\" rel=\"category tag\">Committee<\/a> <a href=\"https:\/\/youzum.net\/es\/category\/news\/\" rel=\"category tag\">News<\/a> <a href=\"https:\/\/youzum.net\/es\/category\/uncategorized\/\" rel=\"category tag\">Uncategorized<\/a>","rttpg_excerpt":"This is today\u2019s edition of The Download, our weekday newsletter that provides a daily dose of what\u2019s going on in the world of technology. These startups are chasing the next big thing in LLMs Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large…","_links":{"self":[{"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/posts\/110681","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/comments?post=110681"}],"version-history":[{"count":0,"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/posts\/110681\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/media\/110675"}],"wp:attachment":[{"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/media?parent=110681"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/categories?post=110681"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/youzum.net\/es\/wp-json\/wp\/v2\/tags?post=110681"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}