If your evals pass 100% of the time, they've stopped telling you anything. @HamelHusain calls that saturation, you've already conquered the test so there's nothing left to learn from it, and the fix is giving yourself harder problems to climb. https://t.co/56T6vqNig9

It is becoming f*cking dangerous A 23-year-old dev from China just ran 300 Claude Code agents in parallel and hooked them to a verification layer so none of them could bullshit him He opens the live dashboard: - 300 agents writing and checking at the same time - Every output verified against the source in ~100 ms - Three passes over 100 company profiles → zero errors left - Everything dumped straight into an Obsidian vault The trick is the split: one model does the work, a cheaper one decides if the claim is actually true. The loop doesn’t stop until everything checks out An analyst team would bill weeks for this. He got it in one run Same kind of Second Brain + swarm setup that keeps circulating. Bookmark the full breakdown

notice.. > Delta is blocking AI agents from booking flights > JPMorgan Chase and Charles Schwab block agents from accessing accounts > Yelp requires paid data licensing for agents > Amazon has blocked Grok bot and other shopping agents. the internet is starting to block AI agents that were supposed to do everything for us

I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model. Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching. We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards. As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!

If you've ever wondered why smart TVs are so cheap, this is why. @log4j rooted his Samsung and found an always-on hot mic, automatic content recognition, geolocation, network mapping, ad targeting and user profiling, shared with Samsung's "400 partners". A lot of it can be blocked in <15 min, wrote a basic guide below. What your TV is doing The main culprit is ACR (automatic content recognition). Your TV screenshots what's on screen, fingerprints it, and sends it home to build your ad profile. Samsung does it every 500ms, LG every 10ms [1]. What is insane: it happens on connected devices too. Plug in your laptop, your console, your work machine, and your TV can fingerprint that via HDMI [1]. He also found that if your Samsung doesn't have a mic, it'll look for one from a connected soundbar or bluetooth device. https://t.co/vNdTnIQ6KF It's on by default, and you likely agreed to it on the setup screen you clicked through in 10 seconds. Step 1: Turn off ACR Samsung: Terms & Privacy → Viewing Information Services LG: Live Plus Vizio: Viewing Data Roku: "Use info from TV inputs" Sony/Google TV: Samba Interactive TV Menus vary by model, but those are the names to look for. While you're in there, opt out of interest-based ads, reset your advertising ID, decline every optional privacy agreement, turn off voice recognition, and delete apps you never open. Step 2: Give smart devices their own network Put the TV, cameras, speakers and vacuum on your router's guest/IoT network. The logic is simple: these devices rarely get patched. If one gets compromised (getting drastically more frequent with AI), it shouldn't be able to see your other devices or home network. Step 3: Block trackers for the whole house with DNS-level filtering NextDNS (cloud-based) is easy and has a solid free plan. Pi-hole is a little bit more work if you prefer self hosting. For simplicity we'll focus on the former. 1. Sign up at https://t.co/IwhafVWVM8 (free tier is plenty) 2. Privacy tab: add a blocklist (OISD is a good bet) and turn on Native Tracking Protection for Samsung, LG, Roku, Amazon (see attached image) 3. Setup tab: copy your endpoint 4. Paste it into your router's DNS settings as DNS-over-HTTPS/TLS (or use the IPs + "Link IP" if your router only does plain DNS) 5. Bonus: block outbound port 53 except to your router. Some devices hardcode their own DNS to get around you Then open the NextDNS logs and watch how often your TV phones home. It's eye-opening. If an app or update breaks, find the domain in the logs and allowlist it. Why they do this TV prices are down 97% since 2000 [2]. Most of that is better manufacturing and brutal competition. But once margins on the hardware hit zero, the cost moved to you. In Q3 2024, Vizio lost $6.7M selling TVs and made $115.8M in gross profit from ads and viewing data [3]. They've said on earnings calls that they keep TV prices low to grow the audience they sell to advertisers. Walmart bought them in 2024. This isn't a conspiracy theory either. Vizio paid $2.2M to the FTC in 2017 for tracking 11 million TVs without consent. Last December, Texas sued Samsung, LG, Sony, Hisense and TCL over ACR. Samsung and LG have since agreed to stop collecting that data without explicit consent [4]. TL;DR 1. ACR off 2. Ads + voice off 3. Smart devices on their own network 4. NextDNS filtering on the router Sources: [1] ACR study: https://t.co/S1IS8lXNbA [2] Cost of US consumer goods: https://t.co/nclXELXcbd [3] Vizio Q3 2024: https://t.co/CrVbwc9ZXk [4] Texas v. Samsung: https://t.co/wFOUdeh1if

If you've ever wondered why smart TVs are so cheap, this is why. @log4j rooted his Samsung and found an always-on hot mic, automatic content recognition, geolocation, network mapping, ad targeting and user profiling, shared with Samsung's "400 partners". A lot of it can be blocked in <15 min, wrote a basic guide below. What your TV is doing The main culprit is ACR (automatic content recognition). Your TV screenshots what's on screen, fingerprints it, and sends it home to build your ad profile. Samsung does it every 500ms, LG every 10ms [1]. What is insane: it happens on connected devices too. Plug in your laptop, your console, your work machine, and your TV can fingerprint that via HDMI [1]. He also found that if your Samsung doesn't have a mic, it'll look for one from a connected soundbar or bluetooth device. https://t.co/vNdTnIQ6KF It's on by default, and you likely agreed to it on the setup screen you clicked through in 10 seconds. Step 1: Turn off ACR Samsung: Terms & Privacy → Viewing Information Services LG: Live Plus Vizio: Viewing Data Roku: "Use info from TV inputs" Sony/Google TV: Samba Interactive TV Menus vary by model, but those are the names to look for. While you're in there, opt out of interest-based ads, reset your advertising ID, decline every optional privacy agreement, turn off voice recognition, and delete apps you never open. Step 2: Give smart devices their own network Put the TV, cameras, speakers and vacuum on your router's guest/IoT network. The logic is simple: these devices rarely get patched. If one gets compromised (getting drastically more frequent with AI), it shouldn't be able to see your other devices or home network. Step 3: Block trackers for the whole house with DNS-level filtering NextDNS (cloud-based) is easy and has a solid free plan. Pi-hole is a little bit more work if you prefer self hosting. For simplicity we'll focus on the former. 1. Sign up at https://t.co/IwhafVWVM8 (free tier is plenty) 2. Privacy tab: add a blocklist (OISD is a good bet) and turn on Native Tracking Protection for Samsung, LG, Roku, Amazon (see attached image) 3. Setup tab: copy your endpoint 4. Paste it into your router's DNS settings as DNS-over-HTTPS/TLS (or use the IPs + "Link IP" if your router only does plain DNS) 5. Bonus: block outbound port 53 except to your router. Some devices hardcode their own DNS to get around you Then open the NextDNS logs and watch how often your TV phones home. It's eye-opening. If an app or update breaks, find the domain in the logs and allowlist it. Why they do this TV prices are down 97% since 2000 [2]. Most of that is better manufacturing and brutal competition. But once margins on the hardware hit zero, the cost moved to you. In Q3 2024, Vizio lost $6.7M selling TVs and made $115.8M in gross profit from ads and viewing data [3]. They've said on earnings calls that they keep TV prices low to grow the audience they sell to advertisers. Walmart bought them in 2024. This isn't a conspiracy theory either. Vizio paid $2.2M to the FTC in 2017 for tracking 11 million TVs without consent. Last December, Texas sued Samsung, LG, Sony, Hisense and TCL over ACR. Samsung and LG have since agreed to stop collecting that data without explicit consent [4]. TL;DR 1. ACR off 2. Ads + voice off 3. Smart devices on their own network 4. NextDNS filtering on the router Sources: [1] ACR study: https://t.co/S1IS8lXNbA [2] Cost of US consumer goods: https://t.co/nclXELXcbd [3] Vizio Q3 2024: https://t.co/CrVbwc9ZXk [4] Texas v. Samsung: https://t.co/wFOUdeh1if

+3 more

hey. here's a little demo of the most meaningful improvement to my productivity since speech-to-text. https://t.co/ZxOoPIQIrL

🔓 Open-source release Get DeepSeek-V4.1-Flash-1017: 🤗 Hugging Face: https://t.co/xA4zPuxLtq 🔗 ModelScope: https://t.co/Zsg7FKld6Q 4/4

Introducing Exa 3.0: our largest ever improvement to search quality. Exa is now #1 on every benchmark we tested, from public evals to verticals like coding and GTM intelligence. It's the result of multiple research breakthroughs 🧵 https://t.co/3qxYZ9nYKz

I turned my DJI Mavic into a home security drone with REA & Opus 5.5. this f*cking is insane.. I reverse-engineered my DJI drone with Opus 5.5 no cloud. no GPS on the target. it all runs on the phone. iPhone or Android. here's the build step by step: step 1 → plug a spare phone into the Mavic remote and paste the prompt below into Claude Code on Opus 5.5 step 2 → Opus checks your drone against the DJI Mobile SDK v5 list. not on it? stop there. no firmware hacks step 3 → it builds a small app on the official DJI SDK: Swift for iPhone, Kotlin for Android step 4 → sync with the alarm: Home Assistant sees it trigger → push to your phone → one tap "Launch" step 5 → eyes: a tiny YOLO model on the phone's chip. Core ML on iPhone, LiteRT on Android step 6 → memory: a Kalman filter. he runs behind a fence → LOCKED → COASTING → re-locks on the same ID step 7 → hands: Virtual Stick at 10 Hz. box center → yaw, box size → distance, never closer than 8 m step 8 → at the property line it stops, climbs to 30 m and keeps the camera on him until he's out of sight step 9 → lands back on the pad. the clip with track, distance and timestamps is already on your phone the alarm wakes you up. the drone already knows where he went... Find full prompt below Then, read the article below on how to reverse-engineer anything with Opus 5.5.

I turned my DJI Mavic into a home security drone with REA & Opus 5.5. this f*cking is insane.. I reverse-engineered my DJI drone with Opus 5.5 no cloud. no GPS on the target. it all runs on the phone. iPhone or Android. here's the build step by step: step 1 → plug a spare phone into the Mavic remote and paste the prompt below into Claude Code on Opus 5.5 step 2 → Opus checks your drone against the DJI Mobile SDK v5 list. not on it? stop there. no firmware hacks step 3 → it builds a small app on the official DJI SDK: Swift for iPhone, Kotlin for Android step 4 → sync with the alarm: Home Assistant sees it trigger → push to your phone → one tap "Launch" step 5 → eyes: a tiny YOLO model on the phone's chip. Core ML on iPhone, LiteRT on Android step 6 → memory: a Kalman filter. he runs behind a fence → LOCKED → COASTING → re-locks on the same ID step 7 → hands: Virtual Stick at 10 Hz. box center → yaw, box size → distance, never closer than 8 m step 8 → at the property line it stops, climbs to 30 m and keeps the camera on him until he's out of sight step 9 → lands back on the pad. the clip with track, distance and timestamps is already on your phone the alarm wakes you up. the drone already knows where he went... Find full prompt below Then, read the article below on how to reverse-engineer anything with Opus 5.5.

In a recent interview, I was asked to implement a function that gives a totally random number from a given array, and each number has an equally likely probability of being selected. No built-in functions allowed.

OpenAI has announced to three new discoveries in mathematics, computer science, and physics: - Local smoothing and the Kakeya conjecture - The Exponential Time Hypothesis is false - Existence of quantum chromodynamics and completions of the Standard Model https://t.co/FIgVlNIEyY

I've been reviewing a lot of code written by Opus 5.5, and it still seems to make a lot of bad software engineering decisions. The kind that will accumulate/calcify into unmaintainable software over time. IMO even the agents will struggle to maintain vibecoded software.

Kimi K3.1 Pro is very good at 3D modeling. I asked Kimi K3.1 to create a 3D website that pulls apart a robotic hand into 2,317 pieces. It did pretty well! You can just build things. Project link: https://t.co/eptzhvSi1G https://t.co/ZAbdnG2G4d

New Anthropic research: How AI agents shape experts' judgment calls When experts delegate work to an agent, do they still make the key decisions? We tested this in a randomized trial with 50 professional data analysts. https://t.co/YyylTuVWkE

Introducing the supermemory memory graph every document becomes atomic facts, and dreaming keeps building the graph in the background - extracting facts - linking related memories - resolving updates, the old version stays as history get one for yourself in the console ↓ https://t.co/LhXDcLdRVW

General Motors says it will not adopt a vision-only approach to autonomous driving, saying that dropping radar is a "weird religious stance that ignores physics." "If you scale back to vision-only, physics suggests you’ll be in trouble in certain situations. Radar is so cheap that dropping it doesn’t make sense—dropping it is a weird religious stance that ignores physics," GM Chief Product Officer Sterling Anderson said. GM says it plans to launch an autonomous driving feature for the highway by 2028. Full article: https://t.co/HqTpRwqNkl

I'm happy to share that Mojo and MAX are now fully open - for development, extension, and commercial use! This includes the full Mojo programming language, but also the MAX graph compiler, MLRT runtime internals, and hardware abstraction logic. Get your agents going!👇

Today, we're open-sourcing 5 Ming-3.0 models across 3 speech families. - Ming-3.0-tts: 0.5B voice design & paralinguistic cues; Tiny 7.9B A1.3B long-form speech. - Ming-3.0-audio: Flash 126B A6.5B understanding & tools; Tiny 9.3B A2.7B efficient dialogue. - Ming-3.0-asr: Tiny 8.6B A2B dialects & context.

+2 more

This is serious. I just saw with my very own eyes that even non-technical people can exploit CVEs like PHP2Shell using certain AI models and I am actually frightened. Once you figure it out, it is downright trivial to do. The digital infrastructure of the world is at risk.

Free image-to-3D models don't preserve your source image - text, logos and fine detail come back garbled. I got that working with my latest 'Pixel Match' feature in my image-to-3dlab: it copies the actual pixels from your source onto the model, even after retopo down to ~5k faces. High quality, low poly 3D models that are riggable and can be animated. One step closer to Tripo / Meshy level of output, but free and on your own machine. Mac + NVIDIA. Try it out here: https://t.co/fCh7Ft9x9m There's lots more to do, so please test, raise issues & PRs, etc.

Kimi K3.1 vs Qwen 4: 3D helicopter Same prompt, takeoff/land, 3D assembly and exploded views, very similar gen time at around 15-20 minutes for both China are not playing games anymore, these are very strong https://t.co/IwhiBN5ya7

You can now use oMLX in LM Studio! Download the new engine and use it with MLX models you already have. Excited to work with with @jundotkim and @huggingface to make this happen! 👾🐧🚀 https://t.co/Wp2tb0k3Le

Reachy Mini has wheels now! Our little open-source AI robot can finally explore beyond the desktop. And that's not all: 📱 New mobile app: no computer needed 👑 NFC hats that unlock new personalities and apps Physical AI just got a lot more fun. Watch it👇 https://t.co/3oRMuRysTN

Can AI forecast elections better than experts and prediction markets? We built BallotBench to find out: a live benchmark where 9 frontier AI agents compete to predict the 2026 US midterms, from today through Election Day, Nov 3. Follow along → https://t.co/7aLmUy2HvO Watch the agents do their research, revise their predictions, and make their calls all in live feeds.

Introducing Omnii-1, our most powerful genome language model, and a major step toward general biological intelligence In a world first, Omnii-1 designed the first AI-generated bacteriophages to be administered to a human patient with an antibiotic-resistant infection under compassionate use

monosemantic neurons be like https://t.co/dzFhnRC383

Muse Spark Open from @Meta is now available on the Gemini platform. Meta's coding-optimized open-weight model is available for developers building long-running agentic coding workflows. Try Muse Spark Open now → https://t.co/rSbbRHs1lo https://t.co/EB43k5AlkH

We closed out the Training Agents series in person in San Francisco with four talks and a panel on post-training agents with open models in industry. Enterprise RL (@t2govind Microsoft), environment design (Victor Barres Mercor), scaling agent RL with Miles (@nblintao RadixArk), and OpenEnv Arena (@xdotli BenchFlow). Full recording, slides and links: https://t.co/fLAuoy4Vmd