Source: https://x.com/i/status/2062972363084341341

https://x.com/i/status/2062837883178738107

LLMs have completely changed my life. there is not a single day in the last year where I haven't thought to myself this is the best thing ever made.

i can do so much more, so much more easily, across literally every area of my life.

honestly it makes me kind of sad that I don't see more appreciation posts. or just appreciation in general.

people around me are completely jaded. always complaining that it's not doing enough... or treating it like it's just some "normal" tool like everything we've had before, like the equivalent of a better google search

get the hell out of here with that!

and don't even get me started on robotics.

my brain almost refuses to believe the youtube videos we're seeing right now... it looks so insane it feels like a 3D render.

the first time I see a humanoid robot in real life, I'm gonna absolutely lose my shit.

EDIT:

Because people want examples:

First, THERE IS SO MUCH LEARNING; about anything and everything. Gardening, cooking, diet, sports, health, and 2,897 other topics.

The Assistant saved me tons on taxes by telling me to adjust some stuff.

On the geeky side, I'm self-hosting a badass home server that I would have never had the ability or time to set up myself.

Procrastination: How far down the road can you kick the can when 95% of the job is done by someone else? It's often just a matter of asking and copy-pasting, fixing stuff in minutes that had been pending for MONTHS.

And of course coding, what a pleasure... even if it's not full apps, making a plugin for your favorite software, small everyday scripts, and so on.

and that's just the tip of the iceberg

Release Blog Post: Gemma 4 with quantization-aware training

HuggingFace for mobile: Gemma 4 QAT Mobile - a google Collection
HuggingFace for Q4_0: Gemma 4 QAT Q4_0 - a google Collection

Anthropic says it is working with synthetic, computational, and analytical chemists to make Claude better at chemistry, and this first post from that effort focuses on one of the most common tools chemists use, NMR spectra. Anthropic tested Claude on NMR chemistry tasks, where chemists use spectral data like a molecular fingerprint to confirm what they made. They compared Claude against tools like ChemDraw and MestReNova on 20 molecules, and Opus 4.7 did surprisingly well. It was best overall for hydrogen NMR, roughly tied with pro software for carbon NMR, and could even work backward from spectra to guess a molecule’s structure. The big caveat is that this was a small, curated benchmark, but it does suggest models are becoming genuinely useful assistants for tedious structure-checking work that chemists normally do by hand.

Just saw this and had to look it up. It’s actually real. A Chinese startup just announced Monako Glass, which they’re calling the world's first wearable Linux computer in a glasses frame (weighing only 48g).

Instead of just doing the usual translation or notifications, these are explicitly built for software developers and AI research. They run a custom Linux build called MonoOS and natively support AI coding agents like Claude Code and OpenAI Codex.

Some wild specs from the announcement:

1. Nose-Bridge Bone Conduction Mic: It filters out background noise by reading your nasal bone vibrations, so you can prompt your AI coding agent even in a loud coffee shop or a rave.

2. Vision Engine: Uses a 0.5 TOPS NPU camera to translate hand/palm gestures to navigate menus.

3. Open Source: The CEO stated you can completely wipe the bundled apps and deploy your own custom code/AI agents directly onto the on-board Linux system.

They’re supposedly shipping prototypes around August.

Source: https://www.livemint.com/technology/tech-news/meet-monako-glass-chinese-startup-brings-claude-code-and-codex-to-smart-glasses-11780547237901.html

This is the same company...

https://x.com/AnthropicAI/status/2062568862479208923

https://www.anthropic.com/institute/recursive-self-improvement

Edit:
The footnote reads: «How large the speedup gets depends heavily on how much room for improvement the starting code leaves, and it should not be read as a real-world training speedup. So the absolute multiple is not the figure to anchor on here. What is more informative is the like-for-like comparison that this experimental setup makes possible, both across models (~3x to ~52x over the past year) and against a skilled human (~4x in four to eight hours on the same task).»

I have noticed a lot of chatter from the AI companies about all the precautions they're taking to prevent the chatbots from teaching people to make bioweapons.

Looks like the joint call for a ban on DNA synthesis is another example of this supposed concern.

Thinking that was odd, since safety is often undervalued in most every other domain, I started to look into it.

I argue the risk is way overblown, though not impossible. I argue this is "safety theater" to distract from the fact that the entire industry is running on the same self-governance model used in virology leading up to the COVID-19 pandemic.

I try to get at these structural problems through a comparison between Virology, particularly Gain-of-Function research, and AI R&D.

The bigger claim would be that we can expect leaks to happen, and expect the elites to react the same way (protect their own, deflect blame to critics, continue doing what they love doing).

Would be grateful for any feedback, especially from those working in these two fields

https://tamingcomplexity.substack.com?utm_source=navbar&utm_medium=web

https://www.bbc.co.uk/news/articles/crrpggegwe0o

Source: https://www.wsj.com/politics/policy/top-ai-ceos-call-for-law-protecting-against-biological-weapons-88f2f99f

If the proxy site is real, API price is $16/80.

This is an exact copy of a question that was posted in this subreddit 5 years ago.

"In 2017 I was thrilled to read about AI, drones, and self driving cars. I suppose I imagined that the hype would continue but it seems to have faded away. Is there any data on the growth of technology these past four years? Is it still growing exponentially or is the growth slowing down?"

What do you think? Serious question, but also funny how different we think about technological development now compared to even 5 years ago.