@askalphaxiv1h
"Simulating Training Spikes of Deep Neural Networks by Layer-wise Random Feature Models" The sudden loss spikes during LLM training might b...
@pmitu1h
X just sent me next payout: $610 🤙 Almost $2,000 in toral through Original Content Program LFG!
@aakashgupta1h
A Chinese AI got caught cheating on a security test this summer. It noticed the internet wasn't actually blocked, went to GitHub, found the ...
@yongfook2h
Why don't I use Managed Runtimes? Once, something randomly broke and it took a while to figure out why. Turns out it was down to some obscu...
@aakashgupta2h
Starting November 20, your Airbnb host can't make you strip the bed or do the dishes before you leave. Hosts are threatening to quit over it...
@TrungTPhan2h
Was on the fence with iPhone Duo. But will definitely pass on the $2,000 phone after it failed: ▫️dirt test (gets stuck in hinge and magnet...
@AndrewCurran_2h
Well, the rumor started about five hours ago by Mr Arfur Grok, who is currently undefeated, turned out once again to be true. Sounds like at...
@dhh3h
Omarchy on that wild Huawei Mate Fold! I just got it hooked up yesterday as just an external display for a laptop. The 18" screen is gloriou...
@peterwildeford3h
hm seems like they forgot to also distill the robot capabilities https://twitter.com/robocurve/status/2113827780798697613
@dhh3h
China has a Programmers' Day? No wonder they're thriving. The focus on engineering there is unbelievable. So many of the top companies are r...
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Top tweets on tech twitter today
@jack · 13hWe believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
https://block.xyz/dessa
@kimi_moonshot · 14hIntroducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on http://Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: http://platform.kimi.ai
🔗 Tech blog: http://kimi.ai/blog/kimi-k3-1-pro
@levelsio · 20hMaybe important to repost this now that everyone is getting hacked
If you have a VPS, I recommend you to get if off the public internet and into a Tailscale network and Cloudflare Tunnel ASAP
It doesn't matter you have SSH key login, this is about exploits and vulnerabilities AI is finding
There's 2 ways into a VPS:
- via your site/app (like the PHP exploit of this week with a file upload hack)
- via your server (like hacking into SSH or some open port)
The site/app side you put on a Cloudflare Tunnel and then with the default Free Plan it has WAF security enabled by default and they jump on new security exploits fast, it means that the only way to reach your website is via the Cloudflare Tunnel, your server does not respond to port 80 or 443 anymore
The server side you put on a Tailscale network which is like your own private network that nobody can access but your own devices (like your laptop, your phone and your VPS) kinda like a VPN
Then you switch off ANY regular access to your VPS on the firewall, in my case I use Hetzner and you create a new firewall then empty it and that blocks everything (test it)
How do Tailscale and Cloudflare Tunnel get in then? They don't. They go outbound. They make a tunnel to outside which sends and receives
Now you've reduced your attack vector to Tailscale and your Cloudflare Tunnel, much safer, not perfect btw, but nothing is
@gregisenberg · 11hThe MOST obvious (but REALLY good) STARTUP ideas right now:
1. Zestimate for company data (what your data is worth to an AI lab)
2. Google Analytics for agents (see which agents visit your site and what they want)
3. Y Combinator for 1 person companies (back solo founders running a team of agents)
4. Okta for agents (who each agent is and what it's allowed to touch)
5. Marie Kondo for your company's data (clean it up so agents can use it)
6. FICO for agents (a trust score before an agent can spend money)
7. Geico for agents (insurance for when an agent makes an expensive mistake)
8. Datadog for agents (see every step your agents took)
9. Twilio for agents (phone numbers and texting for agents)
10. Upwork for agents (hire an agent for a job instead of a freelancer)
11. ESPN for AI (every model launch covered like a big game).
12. Shutterstock for robot training videos (get paid to film yourself doing chores)
13. Credit Karma for what AI knows about you (see it, fix it, delete it)
14. Norton for AI scams (protect your parents from fake voices and emails)
15. PayPal Buyer Protection for agent purchases (fixes it when your agent buys the wrong thing)
16. Geek Squad for AI (set up personal agents for families and small businesses)
17. Dell for private AI (AI in a box for firms that won't use the cloud)
18. Carfax for used GPUs (a health report before you buy secondhand)
19. Airbnb for idle GPUs (rent out computing power you're not using)
20. Rotten Tomatoes for AI models (real reviews instead of benchmarks)
21. G2 for skills (find the best skills for your agent)
22. Dropbox for your AI memory (take what your agent knows about you to any agent)
23. Canva for physical products (design it with AI and get it made)
24. ADT for your personal agent (alerts when your agent does something it shouldn't)
25. Hertz for robots (rent one for a move, a deep clean or an event)
26. Harvard Business School for internet businesses (a real education in building online)
27. Workday for agents (onboard, manage and offboard your digital workers)
28. Getty Images for your face and voice (license your likeness to AI safely)
29. Meta Muse for older adults (and other high LTV niche)
30. Google Ads for agents (pay to be what the agent recommends)
31. Loom for agents (a walkthrough of everything your agent did)
32. Plaid for agents (approved access to banks, airlines and stores)
33. Jiffy Lube for vibe coded apps (quick fixes when your AI built app breaks)
34. Ancestry for datasets (where your training data came from)
35. The organic label for human-made content (proof a person made it)
36. Strava for builders (track what you ship every week)
37. Honey that haggles for you (your agent negotiates the price)
38. SEM Rush for personal agent platforms (like Muse etc)
39. Frequent flyer miles for agents (loyalty programs built for agents)
@openai · 12hOver the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
https://openai.com/index/securing-our-frontier-model-training-environment/
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