Dont like this at all. Researchers at KIT (germany) just demonstrated that ordinary WiFi routers can identify individuals with near-perfect accuracy. No phone required, no special hardware, no line of sight. The system reads unencrypted beamforming feedback that every connected device already broadcasts. 197 test subjects, nearly 100% identification rate. The surveillance infrastructure isn't being built. It's already installed in every café, airport, and office you walk through. The only question is who starts reading the signals first. Source: science daily

Source 2: https://www.youtube.com/watch?v=atldP-5oKUY

Source 1: https://www.reddit.com/r/singularity/s/ikltmnJAtb

So it starts: Generative AI video is no longer just a demo. Kling is now being used in real TV and film production. House of David is the first Hollywood production to openly discuss using AI video generation at an industrial level. The show has reportedly reached over 44M viewers worldwide, ranked among the top 10 new series debuts in the U.S., and hit #1 on Prime Video in the U.S.

"We look forward to making Mythos-class models available through general release" I don't understand Anthropic's strategy regarding Mythos. On the one hand, everyone is saying that Mythos has achieved the expected quality and is finding bugs and exploits that no other model has ever found. On the other hand, precisely for this reason, Anthropic has repeatedly stated that it's "too powerful for release." Why the sudden about-face? One explanation: PR. The preview, including a benchmark, combined with the statement that the model wouldn't be released due to its power, generated a lot of attention. But does Anthropic really need that? Anthropic is so significant because they primarily serve enterprises. Their biggest problem: compute. Too many want Claude, too little compute to support it adequately. Therefore, this PR move wasn't necessary, and the IPO is still in the near future. In short: it seems downright erratic to now do the exact opposite of what was stated. Be that as it may, once the guardrails are in place and there is general availability, SWEs will receive a significant boost. Judging by the benchmarks, nothing even comes close to the myth so far.

OpenAI: carefully rolls out GPT-5.5-Cyber through Trusted Access for verified defenders Anthropic: “Claude Mythos is too powerful for public release” Also Anthropic: accidentally shows Mythos in the UI and immediately runs out of capacity 2026 AI launches are absolut cinema. Anyways: Mythos incoming?

source: https://tech-paper.com/new-research-found-that-a-protein-called-ftl1-is-the-primary-driver-of-brain-aging-and-discovered-that-removing-it-actually-reverses-memory-loss/

The brain doesn't forget because neurons die. They just go dark. And one protein controls the switch. Insane find: Researchers at UCSF screened every protein that changes in the aging hippocampus. One stood out: FTL1, a ferritin subunit your doctor already measures in routine bloodwork. When they removed it from old mice, the animals didn't just stop declining. Synapses regrew. Memory recovered.The mechanism is almost elegant in how brutal it is: excess ferritin traps iron in a form mitochondria can't use → ATP drops → synapses starve and go silent. The neuron doesn't die. It just disconnects. Most aging research sells you "delay." This paper, published in Nature Aging, demonstrated bidirectional reversal - increase FTL1 in young mice, they age. Remove it from old mice, they recover. Human trials are still away. But the protein accumulates in the same region of human Alzheimer's brains, and serum ferritin already correlates with cognitive decline across multiple large studies. The mouse finding isn't happening in a vacuum.

Looks like GPT-5.6 release is very close. Really looking forward to it. 5.5 already is an insanely good model. Hope it gets a bit better vibe tho

https://www.reddit.com/r/accelerate/s/aQ2qE20nOh

„AI is going to make everything cost less.” The new Fed Chair says the next few years could be a hugely exciting moment, arguing that AI is “structurally disinflationary.” Read that again: „structurally disinflationary“. And that from the new Fed Chair.

Clip https://www.reddit.com/r/singularity/s/dLcqsi5wxk

How on earth do people still assume blue-collar work is safe from automation? A robot can work 200 hours nonstop. A human works around 40 hours a week, needs weekends, sleep, breaks, sick days, and vacations. That changes the economics completely.

Can found opus 4.8 in Google Vertex. Can’t confirm any of this tho. However, the fact that Sonnet 4.8 is coming soon has been common knowledge since the data leak. The inclusion of Opus 4.8 in Vertex comes as a surprise to me - though, considering the accelerated release schedule and the massive success of GPT-5.5, it is certainly plausible. Couldn’t be more excited!

im not even kidding. they use fax machines and paper lettery on ironically in germany

Post SF depression hits hard when you‘re back in a country that seriously uses fax machines and paper letters on a daily basis.

NVIDIA has completely halted the release of graphics cards for the gaming market for 2026. Full Focus AI: a gap that China is now also attempting to fill. Not only are high-quality, affordable ev-cars now coming out of China, but - presumably soon - affordable consumer GPUs as well. Curious for benchmarks. If they compete with - let’s say - a RTX 3070 for 1/5 its price this would be a huge win.

https://www.reddit.com/r/accelerate/comments/1tkm1dg/demis_says_the_singularity_could_be_just_a_few/

Demis says the Singularity may now be only a few years away, potentially set in motion by the arrival of true AGI. "Its being so transformative, it will be the most important technology ever"

https://www.bloomberg.com/news/articles/2026-05-22/anthropic-to-close-over-30-billion-round-as-soon-as-next-week

Insane: Anthropic is reportedly nearing the close of its latest funding round, which could exceed $30 billion and value the company at more than $900 billion. - $900 would make it more valuable than OpenAI + the most valuable private company - ARR $50b by end of June, up from $44b via bloomberg

DeepSeek is moving ahead with a $10.29 billion financing round. Good news: Liang Wenfeng, however, remains focused on building open-source AI models rather than chasing short-term commercialization. Via Bloomberg

RT @getsuperintel: Today's Newsletter on Superintelligence has just been sent! Today's main article is: "Nvidia's AI Factory Boom Hits $81.6B" In addition: - Hot AI news - Infographs - and much more Subscribe for free - link down below!

Is there anything GLP-1 drugs can’t do? A new study suggests that GLP-1 drugs may slow tumor progression and improve survival. I love semaglutid.

Let that sink in for a moment. DeepSeek v4 pro 75% discount. Permanent! In: $0.43 Out: $0.87 If you read the DeepSeek v4 tech paper you know that this model is insanely good when it comes to efficiency. Only 27% compute and only 10% cache compares to v3.2. SemiAnalysis wrote a great article. DeepSeek is now all about cost / token efficiency.

Ben is building the future of fully autonomous businesses. And he just raised $30M. Even crazier: Solo founder Already at $10M run rate 7,600+ businesses already using the platform The company is growing insanely fast. Will cover the full Polsia story in the newsletter soon. Congrats @Bencera

The team that made databases feel easy just did the same thing for AI agents. Hyperagent gives you a full cloud environment per session, browser, shell, code execution, integrations, no local setup. You build an agent, deploy it to Slack, and it runs your workflows while you do something else. Airtable sits inside 80% of the Fortune 100. They have over a billion dollars in the bank. This is not a landing page with a waitlist. The Founding 500 is $20K in inference credits for 500 founders building agent-first companies. The people who got into the early App Store built everything everyone else spent a decade copying. The application window will not stay open long.

June will be huge. -Gemini 3.5 pro (confirmed) -GPT-5.6 (rumored but pretty confident for a release) Still waiting for annoucements Claude Sonnet 4.8 (Claude-Code-/Source-Map-Leak)

Retatrutide TRIUMPH-1 phase 3 just dropped and the numbers make tirzepatide are insane: 28.3% bodyweight loss on 12mg at 80 weeks. That's 70 lbs average. Nearly half the patients - 45.3% - hit 30%+ loss, which is bariatric surgery territory without a scalpel. The 104-week extension is where it gets insane: patients with severe obesity (BMI 35+) lost 85 lbs on average. Still losing, no plateau. Even the low dose worked: 19% loss on 4mg with fewer dropouts than placebo. Read that again. Fewer dropouts than the sugar pill group. BP down. Triglycerides down. Waist circumference down. hsCRP down. Safety profile consistent with the GLP-1 class - GI sides, no surprises. This is a triple agonist (GIP + GLP-1 + glucagon). The glucagon component adds direct energy expenditure on top of appetite suppression. That's why the ceiling is higher than anything dual agonists can reach. Lilly already has tirzepatide and orforglipron. Retatrutide is the third weapon. Many people still haven't grasped the enormous positive impact these medications will have on global society.

University of Tokyo built a chip component that processes data 1000x faster than conventional methods - without generating extra heat. The real number worth paying attention to: power consumption drops to 1/100th of current levels. A Google-scale data center that today powers 80,000 homes could theoretically run on the energy of 800. But the prototype chip isn't scheduled until 2030, and commercial availability is years beyond that. We're watching the AI industry sprint toward an energy wall at full speed while the most promising efficiency breakthroughs are still a decade from production. via techradar

And obviously it was amazing to meet my buddy @vamsibatchuk

I’m flying back to Germany now, carrying with me so much optimism and a real sense of momentum from San Francisco and the U.S. There is something incredibly energizing about being here, surrounded by people who genuinely believe the future can be built, improved, and accelerated. I hope I can bring some of that optimism back home to Germany. Thanks, everyone! @itsolelehmann , @itsPaulAi , @Futurenvesting , Fawzi and so much more amazing people I’ve met! Thank you!

Change it with my real face and a real picture was the idea

OpenAI made $5.7B in Q1. Anthropic made ~$4.7B. But Anthropic's annualized revenue recently hit $45B. OpenAI's sits at $25B. The difference: annualized revenue extrapolates from the most recent month, and Anthropic's monthly revenue appears to have more than doubled between Q1 and now. That means Anthropic's growth rate flipped the entire ranking sometime in Q2 - while also projecting its first operating profit (~$600M). Meanwhile OpenAI is losing $1.22 for every dollar it earns, ChatGPT user growth has stalled below its 1B target, and it just raised $122B in new funding. One company is getting profitable. The other is raising capital faster than it's growing users. The AI race isn't being won by whoever ships models first. It's being won by whoever figured out unit economics.

Is it time for me to change my profile picture?

6/ The full Technical Report is now out, their most detailed model disclosure yet. SenseNova-U1-A3B-MoT (38B-A3B MoE) weights are now open-sourced. You can check out the report or try the tools at the links below. Try it here: https://t.co/zXPNArHDaj Technical Report: https://t.co/BsHGspCXUL GitHub: https://t.co/ykWwT9hMXa Hugging Face: https://t.co/OGXU7l2TpP

5/ They are open-sourcing the Lite series in two sizes, an 8B dense model and an A3B mixture-of-experts version. The product has some exciting new updates. An 8-step distilled LoRA now open-sourced: inference cut from 23s to 2s on H100 (100 NFE -> 8 NFE). ComfyUI is now supported, with ready-to-run workflows for text-to-image, image editing, and interleaved generation.

1/ I have been spending time with SenseNova U1, a native multimodal model series released by @SenseTime_Al. It is built on an architecture called NEO-unify that processes images and text together in one single system. It is a big change from the usual way of handing tasks off between separate components. Look at this thread 🧵: