Here’s everything you need to know about the Enhanced Games… 👇
I am Live commentating and analyzing the athletes protocols and measurements.
+ 42 athletes, many olympians
+ swimming, track, weightlifting
+ performance-enhancing drugs allowed
+ only FDA-approved substances
+ every protocol individualized
+ all athletes medically supervised
+ athlete enhancement optional
Substances used:
+ 91% testosterone
+ 79% human growth hormone (HGH)
+ 62% stimulants (Adderall, modafinil)
+ 50% metabolic modulators (Anastrozole)
+ 41% EPO
+ 29% anabolic steroids (Deca-Durabolin)
+ 5% hormonal support (hCG)
This is from aggregate data from a 12-week clinical trial of 36 of the 42 athletes.
Some of the athletes…
+ James Magnussen
+ Fred Kerley
+ Ben Proud
+ Kristian Gkolomeev
+ Thor Björnsson
The medical monitoring is unprecedented…
+ cardiology imaging
+ respiratory testing
+ organ health imaging
+ body composition analysis
+ musculoskeletal assessment
+ neurocognitive screening
+ genomic sequencing
+ biomarkers (blood, urine, saliva)
Enhanced Games may be the most quantified sporting event in history.
Compensation:
+ $25M in total athlete compensation
+ $500K prize purse per event
+ $250K to first place
+ $1M bonuses for breaking world records in the 100m sprint and 50m freestyle
I’ll be broadcasting Live as the Human Enhancement Expert.
I’ve reviewed:
+ their biomarkers
+ how their health changed
+ what their ‘enhancement’ is
+ their wearable data
+ their protocols
Most people think Enhanced Games is about unregulated drug taking. It’s the opposite: it’s possibly the most quantified and medically supervised sporting event.
See you tomorrow night.
- Drafted a blog post
- Used an LLM to meticulously improve the argument over 4 hours.
- Wow, feeling great, it’s so convincing!
- Fun idea let’s ask it to argue the opposite.
- LLM demolishes the entire argument and convinces me that the opposite is in fact true.
- lol
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
OH MY GOSH. JON THURSTON!😱
Canada’s 🇨🇦Jon Thurston pulls off what might be one of the greatest curling shots EVER - threading it through the port and hitting the thinnest of runbacks.
Absolutely unbelievable.
#MilanoCortina2026#Paralympics2026
Canadian athletes are heading to the Milano Cortina 2026 Paralympic Winter Games, starting March 6. 🇨🇦
Share your messages of support on our website: https://t.co/LB0gYiMiOZ
@CDNParalympics
📸: Photo by Leah Hennel/COC
With the coming tsunami of demand for tokens, there are significant opportunities to orchestrate the underlying memory+compute *just right* for LLMs.
The fundamental and non-obvious constraint is that due to the chip fabrication process, you get two completely distinct pools of memory (of different physical implementations too): 1) on-chip SRAM that is immediately next to the compute units that is incredibly fast but of very of low capacity, and 2) off-chip DRAM which has extremely high capacity, but the contents of which you can only suck through a long straw. On top of this, there are many details of the architecture (e.g. systolic arrays), numerics, etc.
The design of the optimal physical substrate and then the orchestration of memory+compute across the top volume workflows of LLMs (inference prefill/decode, training/finetuning, etc.) with the best throughput/latency/$ is probably today's most interesting intellectual puzzle with the highest rewards (\cite 4.6T of NVDA). All of it to get many tokens, fast and cheap. Arguably, the workflow that may matter the most (inference decode *and* over long token contexts in tight agentic loops) is the one hardest to achieve simultaneously by the ~both camps of what exists today (HBM-first NVIDIA adjacent and SRAM-first Cerebras adjacent). Anyway the MatX team is A++ grade so it's my pleasure to have a small involvement and congratulations on the raise!
China added more solar capacity in 2025 than America has installed in its entire history.
That's the most important energy chart you'll see today.
And 2025 was also the first year when small-scale distributed solar pulled in more investments than utility-scale solar farms globally.
Considering that the U.S. has hundreds of GW stuck waiting for grid connections, the conditions are aligned to start putting solar + storage on every American home.
My research team put together a Deep Dive on solar, if you want the full breakdown.
Here’s the link: https://t.co/NppxPJDM1s
Introducing GPT-5.3-Codex-Spark, our ultra-fast model purpose built for real-time coding.
We’re rolling it out as a research preview for ChatGPT Pro users in the Codex app, Codex CLI, and IDE extension.