Wednesday, July 22

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This week in AI: Meta reportedly closing Llama, Anthropic’s new model pulled by export controls within a week, and Apple partners with Google for Siri
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This week in AI: Meta reportedly closing Llama, Anthropic’s new model pulled by export controls within a week, and Apple partners with Google for Siri

A few stories from the past week that, taken together, point to a real shift at the model layer rather than just incremental releases: Meta and Llama. Multiple reports indicate Meta is stepping back from open-source Llama in favor of a proprietary program (internally referred to as "Muse Spark," with a new "Avocado" model) under Meta Superintelligence Labs. Llama crossed 650M+ downloads and was arguably the anchor of the open-weights ecosystem, so a pivot to closed development would be significant for anyone relying on that lineage. Anthropic and export controls. Anthropic launched Claude Fable 5 on June 9 (Mythos-class, 1M-token context, always-on adaptive reasoning, notable security/vuln-finding capabilities). On June 12, a US export-control directive reportedly forced Anthropic to suspe...
Roguelite MMO - Vibe Coded Online Game
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Roguelite MMO – Vibe Coded Online Game

I have long wanted to create a text based browser game (as niche as they are) but I knew that it would take a few years to do so and that just wasn't in the cards for me.... fast forward to 2026 and in two months, I have my first game up and some happy customers (as of today) subscribed! The one thing I have fought with the most was ignoring all of the 'ai slop' feedback. I have been a dev for over 10 years, yea I get it... but ultimately AI/Vibe Coding is not going anywhere. This project has actually even helped me with my day job just in learning about so many tools I would otherwise not know about (since my day job is NOT related to gaming websites but analytical ones). I wont recover the cost of servers or subscription based tools I used to make this, and I knew that going into ...
The Pentagon’s AI chief swore in a court filing that xAI’s Grok helped fire 2,000 munitions at 2,000 targets in 96 hours
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The Pentagon’s AI chief swore in a court filing that xAI’s Grok helped fire 2,000 munitions at 2,000 targets in 96 hours

A sworn declaration from the Pentagon's chief digital and AI officer confirms a federal-only build, Grok Gov, was wired into US targeting systems during operations against Iran, helping deploy more than 2,000 munitions against 2,000 distinct targets over 96 hours. What makes it notable is how it surfaced: the declaration landed in a Clean Air Act lawsuit over xAI's Mississippi data center, where the DOJ is arguing that disrupting xAI would harm national security. So a commercial chatbot vendor's role in live targeting came out as a side effect of an environmental case, not through any defense channel. Source : https://aiweekly.co/alerts/pentagon-confirms-grok-guided-2000-iran-strikes submitted by /u/Justgototheeffinmoon [link] [comments]
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Bernie Sanders wants to give every American $1000 a year from AI profits and the reasoning actually makes sense

Saw this on Gizmodo today and it's been stuck in my head The argument is simple. AI learned from everyone's writing, art, code, conversations and companies are now worth trillions because of that. so why is none of it coming back to the people whose work built it The bill would create a $7 trillion fund, give the public a 50% stake in the biggest AI labs, $1000 a year per person to start, goes up as AI makes more Every time i use chatgpt i think about all the writers and coders and artists whose work it learned from who got nothing. This is at least someone trying to address that Is this actually doable or just a good idea that goes nowhere submitted by /u/Neil_at_HackerEarth [link] [comments]
Started maintaining a small library at work and now I genuinely understand why maintainers go quiet
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Started maintaining a small library at work and now I genuinely understand why maintainers go quiet

Built a little internal utility about a year ago, open sourced it because why not, figured maybe 10 people would find it useful. It slowly picked up a few hundred stars and then the issues started coming in. Not a flood or anything but enough and what surprised me was how much of it wasn't really bugs it was people wanting features that made sense for their use case but would've made zero sense for the original scope of the thing. Or issues that were basically "your README didn't account for my specific setup." I like helping people, I thought I would enjoy this and I did at first but somewhere around month 4 I noticed I was dreading opening GitHub notifications. The AI-generated PRs made it worse honestly. Not because the code was always bad but because they'd come in with confident descr...
Only 16 percent of Americans think AI will have a positive impact on society, a new study shows | TechCrunch
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Only 16 percent of Americans think AI will have a positive impact on society, a new study shows | TechCrunch

Who will foot the AI bills? Despite the fact that AI increasingly dominates our economy (it’s a hot IPO summer and we’re all just along for the ride), most Americans are not particularly optimistic about the technology’s long-term impact on the country, a new study from Pew Research reveals. In fact, although a whole lot of Americans increasingly use AI in their daily lives, most of them have neutral to negative views about it, the research reveals. submitted by /u/chunmunsingh [link] [comments]
Anthropic CEO Dario Amodei goes completely candid on why he left OpenAI:
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Anthropic CEO Dario Amodei goes completely candid on why he left OpenAI: “When you feel that you can’t trust someone when you see disturbing patterns of behavior, dishonesty, that makes it very hard to continue.”

In a recent candid interview Anthropic CEO Dario Amodei did not hold back regarding his departure from OpenAI. He cited a fundamental breakdown of trust and "disturbing patterns of behavior" and "dishonesty" as the primary reasons it became impossible to stay. Considering the massive wave of high-profile safety researcher departures from OpenAI over the last year or two, Amodei’s comments add a lot of retroactive context to the cultural shift that happened right around the time ChatGPT was being spun up. What do you think? Does this align with everything we've seen play out with Sam Altman and the board over the past couple of years? submitted by /u/Low-Honeydew6483 [link] [comments]
Everyone says AI needs more GPUs. I profiled one and it was sitting idle most of the time, just waiting on data. how much of the
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Everyone says AI needs more GPUs. I profiled one and it was sitting idle most of the time, just waiting on data. how much of the “GPU shortage” is actually wasted GPUs?

we keep hearing the bottleneck for AI is compute, that there aren't enough GPUs, that everyone's fighting for H100s and B200s. so I went and actually measured what one of ours was doing during a training job. it was idle most of the time. not slow. idle. doing a quick burst of work, then sitting there waiting for the next batch of data to arrive, over and over. the expensive part (the GPU) spent most of its life waiting on the cheap part (moving data to it). green is the GPU doing work, orange is it sitting idle. that reframed the whole "GPU shortage" thing for me. a huge amount of the compute the industry is scrambling to buy is already sitting there underused, not because the chips are slow, but because the data can't reach them fast enough. you can buy ten times the GPUs and still...
A 4b model is now beating 30b ones at web research and the reason is not size
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A 4b model is now beating 30b ones at web research and the reason is not size

A small thing from this month's model releases stuck with me more than the usual flagship leaderboard race, because it points at where the interesting progress actually is. A 4 billion parameter open model reportedly beat every open source model in the 30 billion class on a couple of hard web research benchmarks. Not matched, beat. A model you could run on a laptop outperforming ones roughly eight times its size on the specific task of going out, reading sources, and answering a multi step question. The reason that is interesting is the why. For the last couple of years the implied formula was straightforward, more parameters, more capability, and the leaderboard mostly cooperated. A result like this says the relationship is a lot looser than that for some skills. The claim from the people...
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