BisonTruffle

[BisonTruffle @BisonTruffle]

@thsottiaux windows native

[Peter H. Diamandis, MD @PeterDiamandis]

I'm watching my 14 yo son build a gaming PC. While ordering parts (32GB, DDR5 Ram + a 4TB Hard Drive) on Amazon, I decided to check on the *equivalent price* from the 1980's when i was build computers... SHOCKING: 10^6 to 10^7 times cheaper today...

[BisonTruffle @BisonTruffle]

😂 Deloitte to pay money back to Albanese government after using AI in $440,000 report

[Simon Willison @simonw]

I've become one of those people who run multiple coding agents at once - here are my notes on embracing the parallel coding agent lifestyle https://t.co/W4tk6F9Eou

[BisonTruffle @BisonTruffle]

@EthanHe_42 magic

[Bill Gurley @bgurley]

Everyone should read this. If you align “hard” with a political party you have turned off your brain and outsourced your thinking to others. Data is clear on both sides of aisle. Think for oneself.

[BisonTruffle @BisonTruffle]

@afternic this is not helping the addicts out there.

[BisonTruffle @BisonTruffle]

and gone

[BisonTruffle @BisonTruffle]

sora invite: 8GB242

[Mira Murati @miramurati]

Today we launched Tinker.

Tinker brings frontier tools to researchers, offering clean abstractions for writing experiments and training pipelines while handling distributed training complexity. It enables novel research, custom models, and solid baselines.

Excited to see what people build.

[BisonTruffle @BisonTruffle]

LOL

[Solo 👑 @Solopopsss]

I asked SORA 2 to create a 90s Toy Ad of Epstein's Island.

[BisonTruffle @BisonTruffle]

@nicknorwitz @bschermd Please get on Spotify

[BisonTruffle @BisonTruffle]

this sums up sora 2 perfectly.

[cloud @cloud11665]

Sora 2 can also do chaotic Japanese ads if you ask it to

[BisonTruffle @BisonTruffle]

@sama https://t.co/IrYpEdLnQZ

[Simon Willison @simonw]

Most of the "90% of code written by AI" claims come from vendors selling AI tools and lack credibility as a result

Armin (creator of Flask, Jinja, Click) is different - when he says 90% of a new infrastructure project he's building was AI generated it's worth paying attention

[BisonTruffle @BisonTruffle]

@Lio_in_pink @ribzoftiktok this appears to be it on Amazon: https://t.co/YyCLtavcSi

[Andrew Ng @AndrewYNg]

Last week, China barred its major tech companies from buying Nvidia chips. This move received only modest attention in the media, but has implications beyond what’s widely appreciated. Specifically, it signals that China has progressed sufficiently in semiconductors to break away from dependence on advanced chips designed in the U.S., the vast majority of which are manufactured in Taiwan. It also highlights the U.S. vulnerability to possible disruptions in Taiwan at a moment when China is becoming less vulnerable.

After the U.S. started restricting AI chip sales to China, China dramatically ramped up its semiconductor research and investment to move toward self-sufficiency. These efforts are starting to bear fruit, and China’s willingness to cut off Nvidia is a strong sign of its faith in its domestic capabilities. For example, the new DeepSeek-R1-Safe model was trained on 1000 Huawei Ascend chips. While individual Ascend chips are significantly less powerful than individual Nvidia or AMD chips, Huawei’s system-level design approach to orchestrating how a much larger number of chips work together seems to be paying off. For example, Huawei’s CloudMatrix 384 system of 384 chips aims to compete with Nvidia’s GB200, which uses 72 higher-capability chips.

Today, U.S. access to advanced semiconductors is heavily dependent on Taiwan’s TSMC, which manufactures the vast majority of the most advanced chips. Unfortunately, U.S. efforts to ramp up domestic semiconductor manufacturing have been slow. I am encouraged that one fab at the TSMC Arizona facility is now operating, but issues of workforce training, culture, licensing and permitting, and the supply chain are still being addressed, and there is still a long road ahead for the U.S. facility to be a viable substitute for manufacturing in Taiwan.

If China gains independence from Taiwan manufacturing significantly faster than the U.S., this would leave the U.S. much more vulnerable to possible disruptions in Taiwan, whether through natural disasters or man-made events. If manufacturing in Taiwan is disrupted for any reason and Chinese companies end up accounting for a large fraction of global semiconductor manufacturing capabilities, that would also help China gain tremendous geopolitical influence.

Despite occasional moments of heightened tensions and large-scale military exercises, Taiwan has been mostly peaceful since the 1960s. This peace has helped the people of Taiwan to prosper and allowed AI to make tremendous advances, built on top of chips made by TSMC. I hope we will find a path to maintaining peace for many decades more.

But hope is not a plan. In addition to working to ensure peace, practical work lies ahead to multi-source, build more chip fabs in more nations, and enhance the resilience of the semiconductor supply chain. Dependence on any single manufacturer invites shortages, price spikes, and stalled innovation the moment something goes sideways.

[Original text: https://t.co/5bdEpQcaob ]