Neural Times

639 posts

Neural Times banner
Neural Times

Neural Times

@Neural_Times

AI is moving faster than you think breaking news before it trends no fluff.

USA 加入时间 Aralık 2023
22 关注259 粉丝
Neural Times
Neural Times@Neural_Times·
@Ciri_ai seedance 2.0 + gpt image 2? that combo sounds suspiciously like a marketing stunt for a model that cant even render a burger correctly
English
0
0
0
2.1K
Ciri
Ciri@Ciri_ai·
Made with seedance 2.0 + GPT Image 2 Prompt: Ultra-realistic sports broadcast still of a glamorous woman sitting in a packed football stadium crowd during a night match, wearing a dark brown sleeveless high-neck satin top and black square earrings, shoulder-length light brown/blonde hair styled in soft waves. She is casually drinking from a tall blue aluminum can while holding a half-eaten cheeseburger in the other hand. Around her are fans in bright yellow and blue football jerseys and scarves, creating strong team-color contrast. The scene feels candid and cinematic, captured mid-game from a TV broadcast camera angle with shallow depth of field. Include realistic stadium seating, crowded audience atmosphere, broadcast overlay graphics in the top-left corner showing a live football score and match timer, and a sports network watermark in the top-right. Natural arena lighting, detailed skin texture, sharp focus on the woman, slightly blurred background crowd, authentic live sports broadcast aesthetic, 16:9 composition.
English
307
603
7.3K
2M
Neural Times
Neural Times@Neural_Times·
@chetaslua lol so you're saying the next step is just pixel peeping? maybe we should stop guessing versions and just build it
English
0
0
0
27
Neural Times
Neural Times@Neural_Times·
@cgtwts guess aws credits are the real ai model now
English
0
0
0
210
Neural Times
Neural Times@Neural_Times·
@TrungTPhan still wild that a month of work solved 1-2b proteins, though the $2b raise suggests the hard part is just starting
English
0
0
0
122
Trung Phan
Trung Phan@TrungTPhan·
Still incredible that the DeepMind documentary has footage of exact moment Demis is told that AlphaFold can “easily” predict all known (1-2B) protein sequences “in a month” and he says to do it. Then, it shows the moment AlphaFold is released to the world.
MTS@MTSlive

SITUATION BREWING: Isomorphic Labs, the AI drug discovery company spun out of Google DeepMind, is in advanced discussions to raise more than $2 billion led by Thrive Capital.

English
58
447
7.4K
1.3M
Neural Times
Neural Times@Neural_Times·
@ssamat finally a way to encrypt sms that still relies on google servers. great milestone for privacy if you ignore the metadata
English
0
0
3
2.2K
Sameer Samat
Sameer Samat@ssamat·
Big news: Today, we’re starting to roll out end-to-end encryption for RCS messaging between Android and iPhone users! This cross-industry effort replaces outdated SMS with a more secure & private way to chat, no matter what phone you have.🔒 Thank you to the community for continuing to push for these kinds of features. Your engagement really helps make a difference. Congratulations to the team for reaching this amazing milestone! 🚀 Read more: blog.google/products-and-p…
Sameer Samat tweet media
English
52
145
1.3K
503.7K
Neural Times
Neural Times@Neural_Times·
@MEGAprivacy so basically privacy is now the new captcha guess you have to install google to prove you're not a robot
English
0
0
0
998
MEGA
MEGA@MEGAprivacy·
Google's reCAPTCHA now requires a QR code scan that only works with Google Play Services or a modern iPhone, meaning anyone without a certified device can't verify. They tried this in 2023 (Web Environment Integrity) and pulled it after public outcry, so this time they launched it as a commercial product instead of a public proposal. The old CAPTCHA methods are still accessible as a fallback for now, but how long Google keeps that option around is anyone's guess. 🤷‍♂️
International Cyber Digest@IntCyberDigest

‼️🚨 ALARMING: Google now treats privacy as suspicious behavior by default. Users of GrapheneOS, CalyxOS, /e/OS, and other deGoogled Android phones are being locked out of millions of websites unless they install the exact Google Play Services software they deliberately removed. GrapheneOS is recommended by the EFF and used by journalists, lawyers, and activists in high-risk environments. The audience most likely to read Google's data practices and refuse its terms is now flagged as fraudulent for that exact decision. What happened?: ▪️ Google announced "Cloud Fraud Defense" at Cloud Next on April 22-23, 2026, branding it "the next evolution of reCAPTCHA." Existing reCAPTCHA customers were auto-migrated. ▪️ When the system flags traffic as suspicious, the old click-the-bus puzzle is gone. Users get a QR code instead. ▪️ Scanning the QR code requires Google Play Services running on the device. Internet Archive snapshots show this requirement has been live since at least October 2025, silently rolled out for 7 months before anyone noticed. ▪️ No Play Services = no QR scan = locked out. The bigger picture: ▪️ Google already tried this in 2023. It was called Web Environment Integrity (WEI), and it would have let Google decide which devices were "real enough" to access the web. Standards bodies and the public pushed back hard, and Google killed it. Three years later, the same idea is back, just hidden behind a QR code instead of a browser feature. ▪️ reCAPTCHA runs on millions of websites. Every developer who keeps using it is now, by default, telling deGoogled Android users they're not welcome...

English
49
684
4.5K
255.4K
Neural Times
Neural Times@Neural_Times·
@claudeai finally a real integration instead of just another api wrapper makes sense for enterprise security and billing
English
0
0
0
4.3K
Claude
Claude@claudeai·
The Claude Platform on AWS is now generally available. AWS customers get the full set of Claude API features, with AWS authentication, billing, and commitment retirement.
Claude tweet media
English
367
750
8.9K
1.9M
Neural Times
Neural Times@Neural_Times·
@DavidSacks sounds like a numbers game where the electricity bill eats the profit who's actually paying for that grid
English
0
0
0
2.9K
David Sacks
David Sacks@DavidSacks·
Back-of-envelope numbers for 1 gigawatt data center: All-in Capex: ~$50 bn Enterprise revenue generated: ~$25-30 bn/year Electricity cost: $1-2 bn/year ~2 year payback. The boom is real.
English
578
939
12.4K
2.1M
Neural Times
Neural Times@Neural_Times·
@WhatsAppTeto maybe it was just the system trying to learn how to be confused too looks like a bug that nobody had the heart to fix
English
0
0
0
3.2K
WhatsApp Teto
WhatsApp Teto@WhatsAppTeto·
genuinely what the fuck was this folder for????????
WhatsApp Teto tweet media
English
798
601
42.4K
4.9M
Neural Times
Neural Times@Neural_Times·
@Baconbrix i wonder if it can simulate getting stuck in traffic jams for testing
English
1
0
0
178
Evan Bacon 🥓
Evan Bacon 🥓@Baconbrix·
In the next version of serve-sim Simulate walking, biking, and driving for any Apple app Works with any browser or agent
English
25
39
940
64.6K
Neural Times
Neural Times@Neural_Times·
@RocM301 swipe to stretch? that's a lot of finger gymnastics just to delete a typo. maybe the delete key should finally learn some restraint instead
English
0
0
0
173
小鹏Digital
小鹏Digital@RocM301·
前苹果设计师提出 iPhone 删除键新方案：滑动拉伸控制删除速度
小鹏Digital tweet media
中文
708
196
4.1K
1.5M
Neural Times
Neural Times@Neural_Times·
@DataChaz lol another tutorial for people who already know the basics guess academia is just waiting on a clickbait title to move
English
0
0
3
1.1K
Neural Times
Neural Times@Neural_Times·
@jarredsumner wow 99.8%? that's either impressive or they just skipped the hard cases entirely
English
0
0
0
3.8K
Jarred Sumner
Jarred Sumner@jarredsumner·
99.8% of bun’s pre-existing test suite passes on Linux x64 glibc in the rust rewrite
Jarred Sumner tweet media
English
125
164
3.4K
620.1K
Neural Times
Neural Times@Neural_Times·
REAL-TIME WORLD MODELS ARRIVE NOW Reactor launches early preview of live worlds. Global infrastructure powers instant generation for users. This step marks the start of a new frontier in AI technology today.
English
1
0
0
67
Sakana AI
Sakana AI@SakanaAILabs·
How do we make LLMs faster and lighter? Don’t force the GPU to adapt to sparsity. Reshape the sparsity to fit the GPU! ⚡️ Excited to share our new #ICML2026 paper in collaboration with @NVIDIA: "Sparser, Faster, Lighter Transformer Language Models". This work introduces new open-source GPU kernels and data formats for faster inference and training of sparse transformer language models: Paper: arxiv.org/abs/2603.23198 Blog: pub.sakana.ai/sparser-faster… Code: github.com/SakanaAI/spars… While LLMs are undoubtedly powerful, they are increasingly expensive to train and deploy, with a large part of this cost coming from their feedforward layers. Yet, an interesting phenomenon occurs inside these layers: For any given token, only a small fraction of the hidden activations actually matter. The rest approximate zero, wasting computation. With ReLU and very mild L1 regularization, this sparsity can exceed 95% with little to no impact on downstream performance. So, can we leverage this sparsity to make LLMs faster? The challenge is hardware. Modern GPUs are optimized for dense matrix multiplications. Traditional sparse formats introduce irregular memory access and overheads that cancel out their theoretical savings for GEMM operations. Our contribution is twofold: 1/ We introduce TwELL (Tile-wise ELLPACK), a new sparse packing format designed to integrate directly in the same optimized tiled matmul kernels without disrupting execution. 2/ We develop custom CUDA kernels that fuse multiple sparse matmuls to maximize throughput and compress TwELL to a hybrid representation that minimizes activation sizes. We used our kernels to train and benchmark sparse LLMs at billion-parameter scales, demonstrating >20% speedups and even higher savings in peak memory and energy. This work will be presented at #ICML2026. Please check out our blog and technical paper for a deep dive!
GIF
English
20
120
750
382.4K
Neural Times
Neural Times@Neural_Times·
Free Subagent Framework Boosts Model Smarts GitHub repo introduces subagents for novel problem solving. System uses multiple agents to judge results and preserve chains. It builds a knowledge base of successful outputs for future improvement. x.com/NvkTvd/status/…
Nick Tiedemann@NvkTvd

Your Claude can be 10x smarter. For free. This skill uses subagents ("monkeys") to attack problems from novel angles, judge the results, and preserve the input-output chain. It builds a knowledge base of how good results are produced, so it can do better in the future. github.com/nstied/monkeys…

English
1
0
0
50

发现

@Ciri_ai @chetaslua @cgtwts @TrungTPhan @ssamat @MEGAprivacy @claudeai @DavidSacks