Jeff Weber

6.7K posts

Jeff Weber banner
Jeff Weber

Jeff Weber

@JeffWeber

Automating AI before it automates me. Checkout my Amazing Sci-Fi podcast at link below.

Appleton, wi Beigetreten Nisan 2008
593 Folgt1.2K Follower
Kevin Rose
Kevin Rose@kevinrose·
I have to imagine google is going to drop something soon... @demishassabis would love to have you on the pod :)
English
10
2
62
12.3K
Jeff Weber retweetet
René Schulte
René Schulte@rschu·
The moment you all have been waiting for - I know - is finally here: The new season of my Digital Dialogs podcast where will cover World Models and Spatial Intelligence with many exciting guests. Tune in to episode 1 to get started...
Reply@Reply_UK

Physical AI brings AI from screens to the real world. In the new podcast episode, Rene explores Spatial Intelligence, World Models, digital twins, robotics and use cases in industry, logistics and healthcare. Listen to Season 5 now. Youtube ▶️ youtube.com/watch?v=6zZyP8… #AI

English
0
1
0
62
Jeff Weber retweetet
Robert Scoble
Robert Scoble@Scobleizer·
This might give nightmares if viewed before bedtime.
English
17
9
88
10.3K
Jeff Weber
Jeff Weber@JeffWeber·
@Jason Great, now do Russia bombing Ukraine's civilian infrastructure.
English
1
0
0
109
NotebookLM
NotebookLM@NotebookLM·
Hi! For those of you who have been using Cinematic Video Overviews over the past few weeks— what do you think? Any feedback or requests you'd like to share with the team? (Yes, more languages and availability to Free users are on our list! ❤️)
English
223
30
681
64K
Emily
Emily@IamEmily2050·
The interview between the two legends, Jeff and Bill, was one hour long, so I used the NotebookLM video overview to capture the key details. In a collaborative discussion, Google's Jeff Dean and Nvidia's Bill Dally examine the rapid evolution of machine learning and its future hardware requirements. They highlight the transition from simple task based models to autonomous agents capable of executing long term, complex workflows. To support these advances, the experts emphasise the need for low latency inference and innovative chip architectures that minimise data movement to conserve energy. The conversation also explores how AI driven design is currently accelerating the creation of more efficient semiconductors at both companies. Finally, they reflect on the profound societal benefits of these technologies, particularly through the potential for personalised healthcare and individualised educational tutors.
English
7
5
68
4.5K
Jeff Weber
Jeff Weber@JeffWeber·
@IamEmily2050 Very nice. Are you using any detailed prompting for these NotebookLM vids? Beyond just giving it a content source?
English
1
0
1
126
Emily
Emily@IamEmily2050·
I used NotebookLM to study Google new breakthrough with TurboQuant and used Video overview to study the subject, best learning tool in the world at the moment. TurboQuant: Redefining AI Efficiency with Extreme Compression Google Research has introduced TurboQuant, a suite of advanced algorithms designed to dramatically compress the data used by large language models and search engines. By utilizing specialized techniques like PolarQuant and Quantized Johnson-Lindenstrauss, the system transforms complex information into a compact "shorthand" that requires significantly less memory. This innovation specifically addresses the key-value cache bottleneck, allowing AI models to process massive amounts of text faster without losing accuracy. Testing demonstrates that these methods can shrink data size by six times while actually increasing operational speed on high-end hardware. Ultimately, these theoretical advancements enable more efficient semantic search and high-performance AI applications at a global scale.
English
21
35
255
14.6K
Jeff Weber retweetet
Daniel Jeffries
Daniel Jeffries@Dan_Jeffries1·
I think I finally figured out why OpenClaw is amazing and took off like wild fire and why Peter is a genius, as Altman called him. And it's actually a different way of looking at it. It's not a DeepSeek moment for agents. It's a Napster moment. And just like Napster it will eventually force the industry to change. In essence when Napster came out the entire world told the music industry we don't want to buy CDs anymore and if you don't provide us a digital download experience we are just going to take it until you do. It forced the industry to create Apple Music and eventually Spotify. Both essentially killed most music piracy by making it ubiquitous and cheap and good. But it forced change. The same will now happen to software. Here's why: In essence OpenClaw lets you take what vendors don't want to give you: Unified access to countless applications. We all want a personal assistant that can talk to freaking everything and do anything for us in the digital world. But vendors don't want this. They want you locked into their bullshit. For example, none of the messaging platforms want bots on there. None. They all have explicit policies against them and make it hard to do this. WhatsApp doesn't want you on there. Signal. Telegram's bot father is garbage. It's all designed to keep bots out. They were designed for a pre-agentic era when bot = spam. Many other things are like this. The API layers are gated, hoop-jumping bullshit. Go get an enterprise account and wait for approval and yada yada. Want access to WhatsApp? Get a business account and attach a number (what small business has a real number anymore 😂) and messages can't come from a person, etc. Google ads? It's not just an auth, it's go get a special manager account and create an enterprise key and blah blah blah. It's a horrible experience because it was all designed for corporations to control access. Now people are saying, make your app easy to access and accessible to me and my machine avatars and do it in a headless way or you will be dead. Peter hacked around all this by making everything command line in the classic Linux style and using things like an open source library that reverse engineered the web version of WhatsApp. It's all a bit house-of-cards-y because he had no choice. At my company we had a similar idea early (and failed). Basically we wanted to make the best multimodal/computer using model because then it doesn't need an API or access hoops. You just go through the human interface layer and ain't nobody going to stop you. We failed because we weren't big enough and it's really a job for the mega-labs to solve because it is a hard problem and costs a shit ton of money. Peter was much smarter. Make it all command line because that is ready now. Use any reverse engineered library or project or proxy available come Hell or high water and make it work by any means necessary even if it is hacky. In short, he signaled to the software world that they better change and change fast or we are going to do this anyway and you can't stop us. Of course some are foolishly trying. Meta is banning Claws on WhatsApp, etc. They will all try to build their own gated, controlled, enshittified version of this thing. They will fail. And eventually everyone will offer a clear, easy way to get access via API for agents or they will be gone. In essence OpenClaw gave people what they wanted, which was an app connected to everything, even when most of the vendors don't want you to have this.
Daniel Jeffries tweet media
English
131
137
938
126.4K
Jeff Weber retweetet
Nous Research
Nous Research@NousResearch·
Hermes Agent wrote a novel. "The Second Son of the House of Bells" runs 79,456 words across 19 chapters. The agent built its own pipeline to do it, using the ame modify-evaluate-keep/discard loop as @karpathy's Autoresearch but applied to fiction: world-building, chapter drafting, adversarial editing, Opus review loops, LaTeX typesetting, cover art, audiobook generation, and landing page setup. Book: nousresearch.com/bells Code: github.com/NousResearch/a…
Nous Research tweet media
emozilla@theemozilla

it's been a longstanding dream of mine build an ai system that can tell a compelling story. it's what got me started in the space in the beginning, and with Hermes Agent I finally pulled it off 100% written, typeset, etc. by Hermes Agent those at our gtc event got hard copies🤗

English
63
93
1.2K
156.2K
NotebookLM
NotebookLM@NotebookLM·
We wanted to come on here to clear the air and confirm that the rumors are true... Cinematic Video Overviews are officially rolled out to 100% of Pro users in English! Please respect our privacy during this time by flooding our replies with your favorite creations.
English
222
217
3.8K
338.7K
Jeff Weber
Jeff Weber@JeffWeber·
@ai_for_success Agree. I want voice selection and, as a bonus, the ability to use my own script. My voice of choice, my script, Notebook creates the visual content. Maybe that is a different product. :-)
English
0
0
1
68
AshutoshShrivastava
AshutoshShrivastava@ai_for_success·
We seriously need voice selection option inside NotebookLM. I am surprised it's still not available.
AshutoshShrivastava tweet media
English
27
11
206
7.9K
Jeff Weber
Jeff Weber@JeffWeber·
Impressive little robot bicycle: #google_vignette" target="_blank" rel="nofollow noopener">techxplore.com/news/2026-03-b…
English
0
0
0
33
AshutoshShrivastava
AshutoshShrivastava@ai_for_success·
Cinematic video overview is now available in NotebookLM for Gemini Pro users as well.
AshutoshShrivastava tweet media
English
24
19
359
14.9K
Jeff Weber retweetet
Andrew Kang
Andrew Kang@Rewkang·
Researchers trained a humanoid robot to play tennis using only 5 hours of motion capture data The robot can now sustain multi-shot rallies with human players, hitting balls traveling >15 m/s with a ~90% success rate AlphaGo for every sport is coming
English
480
1.2K
8.8K
1.9M
Jeff Weber retweetet
TH_Kim
TH_Kim@THK151210·
@antigravity @OfficialLoganK @antigravity Quota nerf shakes Google ecosystem trust. Heavy GCP/Firebase + Gemini user on Pro. Antigravity weekly caps = bait-and-switch. Risky if spreads to other services. Devs moving to Supabase + Anthropic/OpenAI. Please reconsider. #AntigravityQuota
TH_Kim tweet media
English
1
1
9
888