One positive from this ruling is the collective outcry against it. It would seem to me that leaders in college athletics CAN agree on a fundamental rule the NCAA needs the power to enforce - just as other major entities have done throughout the history of sports.
Here’s what Tech did:
The took a player who admitted to betting on his own team and instead of accepting the (reasonable) ruling of him being ineligible to play, they supported his lawsuit to overturn that ruling.
Doing so, they knew it being overturned or getting an injunction establishes a precedent that the rules, especially around betting on one’s team, don’t matter.
It inherently violates the integrity of the sport and meanwhile their mega donor is using it to push his agenda for federal legislation. All the while them all saying it is in support of the mental health of Sorsby.
But in reality they are using him to push agendas are make him a national pariah which can directly hurt his mental health.
That’s why people are upset
The judge's decision on Brendan Sorsby is indicative of where we are.
We've confused compassion & empathy with excusing behavior. This is what happens when the person who broke the rules is increasingly viewed as the primary victim.
Accountability is now cruelty.
Embarrassing.
I spent some time with Brendan Sorsby for College GameDay last fall and I really like him. But he shouldn’t be playing college football this fall. There are lots of very fuzzy rules but when it comes to what he did it’s very clear. Except, apparently, to a Texas judge.
Big Ten officials are expected to discuss in the upcoming days a league-wide mandate to not play Texas Tech in any sports.
This is after Nebraska AD Troy Dannen told his staff today that they aren't allowed to schedule Texas Tech. 😳
This will be a very unpopular take amongst my Red Raider alumni, but, I believe the higher ups, with the coaching staff and a select few boosters at TTU should do the right thing and not let Sorsby wear a Tech uniform. Nothing against him personally, but standing for what’s right
Our news story updated with the Big Ten details -- the league will discuss not scheduling Texas Tech any longer in the regular season, per sources. https://t.co/d608PyVb60
Good reminder that, Fresh off a 12-1 season, Notre Dame voluntarily suspended their starting QB Everett Golson for the entirety of the 2013 fall semester for cheating on a test.
Texas Tech is not only shamelessly allowing a player who bet on his own games to play for their team…they appear to have rigged the local courts to make sure it happened.
The opinions and moral posturing of Joey Mac and Texas Tech administration should never be taken seriously.
#BREAKING: The majority of Big 12 teams are boycotting their games against Texas Tech next season due to the Brendan Sorsby ruling, per sources.
I’m told that multiple board members have also motioned to eject the Red Raiders from the league.
The only current holdouts are BYU and UCF.
NEWS: Big Ten officials are expected to discuss in the upcoming days a league-wide mandate to not play Texas Tech in any sports, per three Big Ten sources. This is in the wake of Nebraska AD Troy Dannen informing his staff today that they aren't allowed to schedule Texas Tech.
Prompt 2: Article review (before you publish)
Re-read the draft as a hostile editor who's looking for a reason to reject it.
Hold it to these standards.
- Is every factual claim traceable to a source in your context? Flag any that aren't.
- Does the opening line earn the next one, or can it be cut?
- Where does it pad, repeat, or hedge?
- Where would a skeptical reader stop reading?
Mark the single weakest paragraph, then rewrite the draft to fix what you found.
Your AI agent hands you broken work with full confidence and never tells you.
Even at 95% accuracy per step, a 10-step agent is wrong ~40% of the time.
5 self-review prompts that make it catch its own mistakes before they cascade 👇
The AI spending reality check:
> $2T global AI spend (Gartner)
> 95% zero financial return (MIT NANDA)
> 73% of engineering work that ships AI has nothing to do with models
> 29% of employees sabotaging rollouts (Writer)
> 42% of companies abandoned most AI projects in 2025 (S&P Global)
> 21% of S&P 500 can cite ANY measurable AI benefit (Morgan Stanley)
> <1% report ROI above 20%
> 6.3M orders lost at Amazon from mandated AI tool usage
Projects that ship: 30% model, 70% infrastructure. Projects that stall: 70% model, 30% infrastructure.
McKinsey just described a 24-hour software delivery model. AI agents execute overnight. Humans review by morning.
Daily sprints replace two-week cycles. 3-5x productivity gains. 60% smaller teams.
We've been operating a version of this across our client engagements. The direction is correct. What's missing is what turns a delivery framework into a production system.
McKinsey lists four foundations: clear product vision, standardized architecture, structured agent inputs, consistent stakeholder engagement. Those are necessary. They're also about 30% of the actual infrastructure required.
The rest is production engineering. Evals. Guardrails. Observability. Human-in-the-loop exception handling. Cost and quota controls. Prompt version management.
We track 13 layers in our production agent stack. Most companies implementing "agentic delivery" have built 2 or 3 of them.
The article calls "knowledge graphs" the critical unlock for agent autonomy. We'd frame it differently.
What you actually need is a measurement layer: cost-per-commit, AI-generated code that reaches production versus code that gets thrown away, model usage patterns across teams. Without that, 3-5x is an aspiration. Not a metric.
One thing the article gets exactly right: the remaining team needs to be significantly more senior. Smaller pods, higher skill density, architecture judgment over ticket throughput.
That's been our operating model from the beginning. Embedded senior engineers. AI-augmented delivery. Everything measured before and after.
The agentic era rewards teams that build the infrastructure around the model. We know because we measure what happens when they don't.
"Anthropic is not going to slow down if OpenAI doesn't agree to do the same."
Madison Mills joined @KateBolduan to break down Anthropic's latest warning about AI models improving themselves.
📺: @CNN | @MadisonMills22 | @axios
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The people who learn these tools early will look like they have a full team behind them.