Tai Nguyen 🇺🇲

PhD Candidate in AI/ML. Specialize in Multimedia Information Forensics and Security.

[Tai Nguyen 🇺🇲 @TaiNguyen34]

Our MISL lab at @DrexelUniv tackled a popular deepfaked video on X/Twitter of Zambia's president reportedly saying he was withdrawing from 2026 election. Our discovery is verified and posted on AFP Fact Check.
#deepfake #misinformation #disinformation #election #afp #FactCheck

[matt @MattVMacfarlane]

Was using Fable 5 to write my world model training code.

Anthropic flagged it as frontier AI research.

The steering vector kicked in and it started implementing JEPA 🤨

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[ClaudeDevs @ClaudeDevs]

Claude Code weekly limits are increasing 50%, now through July 13.

Live now for all Pro, Max, Team, and seat-based Enterprise users.

[Tai Nguyen 🇺🇲 @TaiNguyen34]

@ai_bites this is just H.264 lmao - just use that instead

[MOSI @MosiAI_Official]

Meet MOSS-Audio.

A unified open-source model for real-world audio understanding, built to handle speech, emotion, speakers, sound events, music, temporal grounding, and reasoning in one system.

In the reported evaluation, our 4B model outperforms many 7B–9B open models, and MOSS-Audio-8B-Thinking reaches 71.08 average accuracy.

Strong results. Real-world audio.

GitHub: https://t.co/VTFDflxaAs
HuggingFace: https://t.co/ctbaeU78OS
https://t.co/gjN6itloJo: https://t.co/zvMMLVtRNq
OpenMOSS: https://t.co/V1nvkqyY0R

[Alex Volkov @altryne]

OpenAI just open sourced a new 1.5B (50m active) model on HuggingFace with Apache 2.0 license!

It's not a new LLM, this one is called Privacy Filter, and it's a PII detection model (checking if text has private information)

A few interesting tidbits from the release + links:

[Adam Smith @adamndsmith]

> Indian guy needs to pay for med school
> make AI hot girl
> gets no views
> make her MAGA
> “Christ is king, abortion is murder, and all illegals must be deported”
> Instagram loves it
> “pro-Nazi, pro-Hitler content” gets high engagement
> 3 million views
> 5 million views
> 10 million views
> thousands of dollars per month
> tried to make a left-wing version
> nobody buy the AI slop
> “The MAGA crowd is made up of dumb people - like, super dumb people. And they fall for it.”

[Matthias Niessner @MattNiessner]

📢Face Anything: 4D Face Reconstruction from Any Image Sequence

Transformer model for 4D face reconstruction and dense tracking:
- predict canonical facial coordinates per pixel
- tracking as reconstruction in canonical space
- geometry + correspondences in one forward pass

Key idea: a shared canonical space across frames
- correspondences as nearest neighbors
- no motion or deformation estimation

Stable geometry and tracking, even under large expressions and viewpoint changes - check out our results!

🌐 https://t.co/VRF2UFYo6Y
▶️ https://t.co/qMv8IKpy6R

Great work by @UmutKocasa4344, @SGiebenhain, @richard_o_shaw

[Qwen @Alibaba_Qwen]

🚀 Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power!

Yes, 27B, and Qwen3.6-27B punches way above its weight. 👇

What's new:
🧠 Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks
💡 Strong reasoning across text & multimodal tasks
🔄 Supports thinking & non-thinking modes
✅ Apache 2.0 — fully open, fully yours

Smaller model. Bigger results. Community's favorite. ❤️
We can't wait to see what you build with Qwen3.6-27B! 👀

🔗👇
Blog: https://t.co/P2Zx7FwMxB
Qwen Studio: https://t.co/c4vm4LuZrU
Github: https://t.co/zKDEbv0R4U
Hugging Face:
https://t.co/N67hyzxvfr
https://t.co/SSdtbWRDap
ModelScope:
https://t.co/xODf1pj9kw
https://t.co/xXhoqlJ2AB

[Ricardo @Ric_RTP]

Amazon just got caught running a secret price manipulation operation with Levi's, Home Depot, Walmart, and many more.

Every time you "comparison shopped" online, you were looking at prices that were already rigged.

Here's what happened:

Amazon would monitor prices on Walmart, Target, Best Buy, Home Depot, and Chewy in real time. The second a competitor listed a product cheaper than Amazon, they'd contact the brand directly and tell them to "fix it."

And the exact emails are now PUBLIC.

Amazon sent Levi's links to two Walmart listings with the subject line "styles of concern." They basically said the prices on Walmart are too low and we have a problem.

The next day, Levi's responded: "I talked to Walmart and they have partnered with us to take Easy Khaki Classic fit back up to ladder SPP price, $29.99 immediately."

Levi's literally called Walmart and told them to raise the price. Because Amazon told Levi's to make the call.

Walmart complied. Then Amazon matched the HIGHER price.

Both retailers ended up charging more. The customer paid extra. Nobody competed.

Same playbook with Hanes:

Amazon sent them links showing Target and Walmart prices were lower. Hanes confirmed they "reached out to Target and Walmart to have the prices increased."

Target increased the prices. Walmart increased the prices. Amazon kept their margins.

But it gets even worse...

Amazon told Allergan (the company that makes eye drops) that their product was "suppressed" on Amazon because it was cheaper on another site.

Allergan responded: "Walmart got their price back up to $16.99." Amazon then unsuppressed the listing.

They did this with pet treats on Chewy. Furniture on Home Depot. Products across dozens of categories spanning YEARS.

The mechanism is simple but terrifying:

If you're a brand and you sell cheaper on Walmart than on Amazon, Amazon suppresses your product, removes you from the Buy Box, buries you in search results, and effectively makes you invisible to 300 million customers.

Brands can't afford that. So they call Walmart and Target and say "raise your prices or we'll lose our Amazon listings."

Walmart and Target comply because they need the brand's products.

Amazon captures 40 cents of every dollar spent online in America. That gives them the leverage to set prices across THE ENTIRE internet. Not just their own platform.

So turns out, you were never comparison shopping.

You were looking at a coordinated price floor set by Amazon through backroom phone calls between brands and their competitors.

"Amazon is working to make your life more unaffordable."

3 separate antitrust trials are now scheduled for 2027. The FTC has its own case. 18 states plus the DOJ are piling on.

This is literally happening during the WORST affordability crisis in a generation. Groceries up 25% since 2020. Housing unaffordable. Wages flat.

And the largest ecommerce company on Earth has been secretly coordinating with brands to make sure you can't find a cheaper price ANYWHERE.

"Competition" in retail is just a fantasy.

[Viktor Oddy @viktoroddy]

Claude Design is insane.

❤️‍🔥Just recorded a 18-min tutorial on how to build animated, award-winning websites with Claude Design + Opus 4.7!

[Reid Wiseman @astro_reid]

Only one chance in this lifetime…

Like watching sunset at the beach from the most foreign seat in the cosmos, I couldn’t resist a cell phone video of Earthset. You can hear the shutter on the Nikon as @Astro_Christina is hammering away on 3-shot brackets and capturing those exceptional Earthset photos through the 400mm lens. @AstroVicGlover was in window 3 watching with @Astro_Jeremy next to him.

I could barely see the Moon through the docking hatch window but the iPhone was the perfect size to catch the view…this is uncropped, uncut with 8x zoom which is quite comparable to the view of the human eye. Enjoy.

[Qwen @Alibaba_Qwen]

⚡ Meet Qwen3.6-35B-A3B：Now Open-Source！🚀🚀

A sparse MoE model, 35B total params, 3B active. Apache 2.0 license.

🔥 Agentic coding on par with models 10x its active size
📷 Strong multimodal perception and reasoning ability
🧠 Multimodal thinking + non-thinking modes

Efficient. Powerful. Versatile. Try it now👇

Blog：https://t.co/EXx5y466su
Qwen Studio：https://t.co/bg4tAU1p74
HuggingFace：https://t.co/w4pDX14DZS
ModelScope：https://t.co/SuRyLzdQiO
API（‘Qwen3.6-Flash’ on Model Studio）：Coming soon～ Stay tuned

[Daily Dose of Data Science @DailyDoseOfDS_]

NVIDIA & Unsloth dropped one of the best practical guides on building RL environments from scratch, filling gaps most tutorials skip.

Covers:

- Why RL environments matter + how to build them
- When RL beats SFT
- GRPO & RL best practices
- How verifiable rewards & RLVR work

[François Fleuret @francoisfleuret]

Reminder that I wrote a little book about deep-learning, which is phone-formatted, entirely free, and nearing the 1M download:

https://t.co/7VnowYjJLY

[Brian Allen @allenanalysis]

🚨 MAJOR NEWS: CBS News: Diplomatic sources confirm Trump personally agreed Lebanon was part of the ceasefire.

Israel also agreed to the terms.

Then Israel bombed Lebanon, notwithstanding the agreed-upon cease-fire.

[Claude @claudeai]

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.

It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.

Now in public beta on the Claude Platform.

[clem 🤗 @ClementDelangue]

We keep saying we want open-source frontier agents.

Fine. Then let’s build the dataset.

@badlogicgames, creator of Pi, just shared some of his agent traces used to build Pi on @huggingface. I’m now sharing some of mine too, exporting them from @hermes, @opencode, and Claude via @tracesdotcom, and I’ll keep going.

Why this matters: one of the biggest bottlenecks for open-source agent models is the data. And all of us are generating that data every day through our conversations with agents.

If enough builders share even a slice of their traces publicly, we can create the largest crowdsourced open dataset for agents.

Time to put your tokens where your mouth is and give a chance for open source to win!

[Benjamin Marie @bnjmn_marie]

Gemma 4 GGUF Evaluation: Unsloth's UD IQ3_XXS is my recommendation for the 31B

You save 50 GB with almost no visible impact on accuracy.

Gemma 4 is overall very robust to quantization (more than Qwen3.5 it seems, but I need more results to confirm).

And no, I couldn't find that APEX versions are superior to Unsloth's UDs. For the same sizes, on the benchmarks I ran, Unsloth's GGUFs recover better the original accuracy.

All my results here:
https://t.co/01uuWrm0lk

[Jyoti Mann @jyoti_mann1]

Exclusive: Meta employees are “tokenmaxxing” and competing on an internal leaderboard called “Claudeonomics” for status as a token legend.

Over a recent 30-day period, total usage on the dashboard topped 60 trillion tokens.