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When 12 or more weeks out from football season, work in the 82 to 95% intensity range for almost all training. Once inside the 12-week zone, work up to 90 to 95% intensity only once a week. If strength is maintained through the season based on speeds and percentages at around 90 percent of speed work, the athlete maintains that strength. Once outside the football season, rebuild and get ready for the next season.
The host ranks pointing out what you notice about her in the moment at S-tier and calls it one of the best things you can do. Breaking away from the current topic to comment on something about her right now is really powerful: because women really care about other people's perception of them, it instantly brings the conversation back to being about her and snaps her attention onto what you're talking about.
Hormozi urges getting a booth at B2B conferences where target customers attend and securing a speaking slot — even just 15 minutes — to pitch services. He argues B2B event clients are worth doing whatever it takes to close because they front the cost of gathering 500-1000 of your ideal customers in one stadium; closing even 1% of a 1,500-person room (15 clients) would be a 50% increase in business. When your ICP is gathered, treat the event as a lead generation opportunity.
Credentials never entered the sandbox in the new architecture — calls needing tokens are routed through a proxy that injects the token before calling the external endpoint. This means prompt injection can never extract tokens because the model never sees them; storing credentials in the sandbox makes you more susceptible to prompt injection.
Yoni Michael argues that the important part is not that the agent is right the one time you tried it, but that when you try it 10, 15, 20 times in a row, it gets it right every time. So run evals many times over rather than once to measure consistency, and use pass@k and pass^k metrics to evaluate agent consistency across multiple runs.
When attributing ARR by marketing channel, an agent should not pick a join path based on column names — it should check whether each join key is actually unique by profiling the actual tables; join recommendations should be made with actual reasoning and evidence grounded in the data itself.
When deciding whether to stick AI into a workflow, first ask: is it a bound system? Second: is it worth it? Third: does it have a verifiable output? If the answer is no to all three — it's not bound, not worth it, and has no verifiable output because you just want it to think and make decisions for you — the answer is no, and you should look at other workflows.
Whitney Lee explains that if a user types their credit card information into a chatbot unprompted — say an order-your-burrito-here button scenario — that PII ends up in your traces and on your system, which is a liability. Input guards are great for scrubbing anything users try to tell the system; you don't want to know their social security number or credit card number. With input guards scrubbing PII, you have proof that the sensitive data never got into the system. Accepting PII from anybody puts you in compliance land (e.g., GDPR) with extra cost, even if you don't have anybody in Europe.
None stated.
Forrester says the most common question he's asked is when should we stick AI into our workflow/platform. If you talk to anybody in Silicon Valley, the answer is always yes, 100%, as much as you can. His rubric: (1) is it a bound system with known boundaries and edges, preferably with an API attached or at least a well-known set of interfaces — though he'd be careful applying this to Kubernetes and cloud systems; (2) is it worth it — noting NVIDIA's CFO said about 70-something percent of the jobs being done by AI today could be done by humans more cheaply and more reliably, with the CFO's argument being that he's trying to lower the cost of AI so people can buy more, which the speaker found very telling; (3) does it have a verifiable output — if the AI generates software artifacts like Tof
The NVIDIA CFO figure is a quoted paraphrase ('70-something percent').
Omar argues that scaling document parsing to a million documents before confirming extraction accuracy on a small sample leads to bad results at scale.
Use uniform conditions — the same setup every time — because changing even one variable makes it basically a new benchmark. If evaluating multiple agents, decide in advance which agents you look at. Always do multiple runs: a single run is benchmark lottery, a random result, just a ballpark number. Wolfram does five runs per benchmark in WolfBench, but you could do more if you have the money — it's always a tradeoff.
stated
Josh Woodward's first tip for setting up a lab team is to create a space where weird things can grow and not nestle it under an existing business unit — it has to have its own independence. In some companies that means the lab reports to the CEO, or at least at enough of a distance.
endorsed with 0.9-0.95 confidence
When showing people early prototypes, you're looking at people's eyes — that is the metric for product market fit. It is not a DAO, not a DAO over a MAU, not a D7 — none of that matters in the early days. The signals to look for: if the person's eyes light up and if they lean in. Product market fit is way more art than science, and in the early days product decisions feel more art and passion driven than science. When PMF happens, you sort of know it when you have it.
For a contact field sport athlete, a back squat below 1.5 times bodyweight is a major red flag indicating non-functional strength — concerted effort should be put in right now, even if playing the season or pushing other goals is somewhat negative long-term. For a front row forward in rugby, not being near a double bodyweight back squat is a much bigger issue than for a winger. Once an athlete gets beyond double bodyweight back squat for many field sports, they can put the brakes on strength work a little bit. Going from a 200 kg back squat to 220 kg as a 100 kg player is beneficial, but probably not as beneficial as going from 180 to 200 was. The speaker uses three brackets when evaluating athletes on day one — really unhappy, pretty happy, very happy — based on strength-to-bodyweightrat
Practice power cleans (or hang power snatches, block snatches) regularly and make progress — that alone gets most of the benefit without maximal loads. The same power clean weight performed with sharp technique (contract-relax sequencing, catch at parallel) is far more beneficial for sport than the same weight with poor technique; ripping the bar off the floor and yanking it to the shoulders turns the lift into a poor upper/lower body concentric exercise with minimal sport transfer. Push top-end weight in the off-season when it makes sense — going from 0.8x to 1.1x bodyweight power clean year-over-year is fantastic progress — but don't chase 170-190kg cleans unless you are a thrower or American football player.
Host's endorsed position; some numeric figures flagged as possible numeric errors
Get the strength numbers, the required body composition, and conditioning dialed in first — then Olympic lift ratios become secondary. As a composite ceiling, an athlete with a 2.5x bodyweight back squat, a 3-minute 100-cal air bike, and a 1.5x bodyweight power clean is the best F1 car, though most athletes cannot reach this. In American football, key metrics include clean, back squat, single-leg squat, bench, vertical, flying 10, accelerating 10, 40, and shuttle — every one plays a big role. For a 90kg athlete back squatting 135kg (1.5x bodyweight), a single-leg squat target is roughly 60-80kg (about half the back squat load).
Host's framework; several numeric figures flagged as possible numeric errors, and the speaker's own math was uncertain
You cannot excel simultaneously at running, squatting, gymnastics/parkour, sprinting, and being both jacked and lean — there are limits to the cake. The more you diversify your training goals, the worse you will be at each one individually. When choosing hybrid training goals, pick only two from a list such as: pull-up rep out, 100 cal test, back squat, 5k, vert, bench, deadlift, 60 minute run.
Guest's endorsed position
The guest argues that getting kids to front squat, back squat, clean, snatch, deadlift, walking lunge, and run sprints is the core of good coaching. A young coach who spends five years on trendy brain-linking warm-ups instead will realize they would have been a far better coach without them. He suggests girls softball teams push their front squat toward 1.5x bodyweight, clean more, and increase power output for better bat exit velocity rather than buying into trendy warm-ups.
Guest's endorsed position; the 1.5x bodyweight figure is flagged as a possible numeric error
Look at how exceptional a founder's strengths are rather than cataloguing flaws; every great entrepreneur has something horribly wrong with them, and that's okay.
A person in normal life and a person under extreme pressure are 'two different cats'; you can't know how a founder performs under pressure until you've seen it, so evaluate through their idea and history instead.
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